WO2020255743A1 - 認知機能に関する食物の評価方法 - Google Patents

認知機能に関する食物の評価方法 Download PDF

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Publication number
WO2020255743A1
WO2020255743A1 PCT/JP2020/022210 JP2020022210W WO2020255743A1 WO 2020255743 A1 WO2020255743 A1 WO 2020255743A1 JP 2020022210 W JP2020022210 W JP 2020022210W WO 2020255743 A1 WO2020255743 A1 WO 2020255743A1
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WIPO (PCT)
Prior art keywords
value
evaluation
formula
food
amount
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PCT/JP2020/022210
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English (en)
French (fr)
Japanese (ja)
Inventor
礼 伊藤
かほり 木下
理浩 ▲高▼田
昌子 安居
寛子 近藤
今泉　明
秀典 荒井
Original Assignee
味の素株式会社
国立研究開発法人国立長寿医療研究センター
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Application filed by 味の素株式会社, 国立研究開発法人国立長寿医療研究センター filed Critical 味の素株式会社
Priority to CN202080044113.5A priority Critical patent/CN114008452A/zh
Priority to JP2021527585A priority patent/JPWO2020255743A1/ja
Publication of WO2020255743A1 publication Critical patent/WO2020255743A1/ja

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/02—Food
    • C—CHEMISTRY; METALLURGY
    • C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12M—APPARATUS FOR ENZYMOLOGY OR MICROBIOLOGY; APPARATUS FOR CULTURING MICROORGANISMS FOR PRODUCING BIOMASS, FOR GROWING CELLS OR FOR OBTAINING FERMENTATION OR METABOLIC PRODUCTS, i.e. BIOREACTORS OR FERMENTERS
    • C12M1/00—Apparatus for enzymology or microbiology
    • C12M1/34—Measuring or testing with condition measuring or sensing means, e.g. colony counters
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/68—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment

Definitions

  • the present invention relates to an evaluation method, a calculation method, a prevention method, an evaluation device, a calculation device, a prevention device, an evaluation program, a calculation program, a prevention program, a recording medium, an evaluation system, a prevention system, and a terminal device.
  • AD Alzheimer's disease
  • Risk factors related to the onset of dementia include genetic backgrounds such as the ApoE4 gene and lifestyle-related diseases such as diabetes and hypertension. Furthermore, lifestyle habits such as smoking, social participation status, decrease in frequency of going out, and dietary content are also said to be involved in the onset of dementia.
  • lifestyle habits such as smoking, social participation status, decrease in frequency of going out, and dietary content are also said to be involved in the onset of dementia.
  • a high protein intake reduces the risk of mild cognitive impairment, which is the pre-stage of dementia (Non-Patent Document 1) and protein in the elderly.
  • intake and cognitive function show a positive correlation (Non-Patent Document 2). Therefore, protein intake is considered to be an important factor involved in the onset of dementia or cognitive function.
  • Non-Patent Document 3 Furthermore, the effect of dietary melatonin and tryptophan intake on the improvement of cognitive function has been investigated (Non-Patent Document 3).
  • lysine intake improves cognitive function in healthy individuals (Patent Document 1), and reports suggesting the effect of L-arginine or lysine intake on the improvement of AD or anxiety-like symptoms (Non-Patent Documents 4 to 7).
  • Non-Patent Document 8 reports suggesting improvement of tyrosine intake for improvement of working memory decline and cognitive decline.
  • the present invention provides, for example, an evaluation method, a calculation method, an evaluation device, a calculation device, an evaluation program, a calculation program, a recording medium, and an evaluation system that can provide information on whether or not the food to be evaluated is related to cognitive function.
  • terminal devices methods for preventing cognitive decline that can provide information to prevent cognitive decline, preventive devices, preventive programs, recording media, preventive systems and terminal devices, and the state of cognitive function. It is an object of the present invention to provide an evaluation method, a calculation method, an evaluation device, a calculation device, an evaluation program, a calculation program, a recording medium, an evaluation system, and a terminal device that can provide highly reliable information that can be referred to in the above.
  • the present inventors have diligently studied to solve the above problems, found a relationship between a clinical evaluation index related to cognitive function and information on amino acids in food, and completed the present invention.
  • the evaluation method according to the present invention comprises 21 kinds of amino acids (Ile, Leu, Lys, Met, Cys, Ph, Tyr, Thr, Trp, Val, His, Arg. , Ala, Asp, Glu, Gly, Pro, Ser, SAA, AAA and BCAA), or an expression comprising a variable to which the value of said amount is assigned. It is characterized by including an evaluation step of evaluating the food from the viewpoint of cognitive function using the value of the formula calculated using the value of the amount.
  • AAA Aromatic amino acids (Tyrosine and Phenylalanine) Ala Alanine Arg Arginine Asn Asparagine Asp Aspartic acid and Asparagine BCAA Branched-chain amino acids (Isoleucine, Leucine and Valine) Cys Cystine Gln Glutamine Glu Glutamic acid and Glutamine Gly Glycine His Histidine Ile Isoleucine Leu Leucine Lys Lysine Met Methionine Phe Phenylalanine Pro Proline SAA Sulfur-containing amino acids (Methionine and Cystine) Ser Serine Thr Threonine Trp Tryptophan Tyr Tyrosine Val Valine
  • the evaluation method according to the present invention includes Ile, Leu, Lys, Met, Cys, Ph, Tyr, Thr, Trp, Val, His, Ala, Asp, Pro, Ser, SAA, AAA and BCAA.
  • the evaluation method according to the present invention is the value of the amount of at least one amino acid of Ile, Leu, Tyr, Trp, Val, Ser, AAA and BCAA in the food, or the above. It is characterized by using an equation including a variable to which the value of the quantity is assigned and the value of the equation calculated using the value of the quantity.
  • the value of the amount of at least one amino acid of Lys, Ph, Thr and Ala in the food, or the value of the amount is substituted. It is characterized by using an expression including variables and the value of the expression calculated by using the value of the amount.
  • the evaluation method according to the present invention is characterized in that the food is equivalent to breakfast, lunch or dinner.
  • the evaluation method according to the present invention is characterized in that the evaluation step is executed in the control unit of the information processing device provided with the control unit.
  • the calculation method according to the present invention includes a value of the amount of at least one amino acid among the 21 kinds of amino acids in food and a variable to which the value of the amount is substituted, from the viewpoint of cognitive function. It is characterized by including a calculation step of calculating the value of the formula using the formula for evaluating the food.
  • the calculation method according to the present invention is characterized in that the calculation step is executed in the control unit of the information processing device including the control unit.
  • the evaluation device is an evaluation device including a control unit, and the control unit is a value of the amount of at least one amino acid among the 21 kinds of amino acids in food, or the above-mentioned amount. It is characterized by comprising an evaluation means for evaluating the food from the viewpoint of cognitive function by using the formula including the variable to which the value is assigned and the value of the formula calculated by using the value of the quantity. ..
  • the evaluation device is communicably connected to the terminal device via a network, and the control unit has information for calculating the value of the amount, and the amount calculated by using the information.
  • the evaluation means further includes a data receiving means for receiving the value or the value of the above formula, and a result transmitting means for transmitting the result obtained by the evaluation means to the terminal device.
  • a process of calculating the value of the amount using the received information, or a process of calculating the value of the amount using the received information and the calculation.
  • a process of calculating the value of the formula using the value of the amount and the formula is executed, and the value of the amount obtained by the process or the value of the formula is used to obtain a viewpoint of cognitive function.
  • the value of the received amount or the value of the formula is used for recognition. It is characterized by evaluating the food from the viewpoint of function.
  • the calculation device is a calculation device including a control unit, and the control unit is a value of the amount of at least one amino acid among the 21 kinds of amino acids in food and the above amount. It is characterized by comprising a calculation means for calculating the value of the formula using a formula for evaluating the food from the viewpoint of cognitive function, which includes a variable to which the value is assigned.
  • the evaluation program according to the present invention is an evaluation program for execution in an information processing apparatus provided with a control unit, and is an evaluation program for at least one of the 21 types of amino acids to be executed in the control unit.
  • the food is prepared from the viewpoint of cognitive function. It is characterized by including an evaluation step to be evaluated.
  • the calculation program according to the present invention is a calculation program to be executed in an information processing apparatus provided with a control unit, and is an amino acid of at least one of the 21 types of amino acids to be executed in the control unit. Includes a calculation step of calculating the value of the formula using a formula for evaluating the food from the perspective of cognitive function, including the value of the amount in the food and the variable to which the value of the amount is assigned. It is characterized by that.
  • the recording medium according to the present invention is a computer-readable recording medium on which the evaluation program or the calculation program is recorded.
  • the recording medium according to the present invention is a non-temporary computer-readable recording medium, and includes a programmed instruction for causing an information processing apparatus to execute the evaluation method or the calculation method. , Is a feature.
  • the evaluation system is an evaluation system configured by connecting an evaluation device including a control unit and a terminal device including a control unit so as to be communicable via a network, and the control of the terminal device.
  • the unit includes a result receiving means for receiving the result of evaluating food from the viewpoint of cognitive function transmitted from the evaluation device, and the control unit of the evaluation device is at least one of the 21 types of amino acids.
  • the data receiving means for receiving the value of the formula calculated using the value and (1) the data receiving means receive the information, the value of the amount is calculated using the received information.
  • the process of calculating the value of the amount using the received information, and executing the process of calculating the value of the formula using the calculated value of the amount and the formula is evaluated from the viewpoint of cognitive function using the value of the amount obtained by the treatment or the value of the formula, and (2) the value of the amount or the value of the formula is used by the data receiving means.
  • the evaluation means for evaluating the food from the viewpoint of cognitive function using the received value of the amount or the value of the formula, and the result obtained by the evaluation means are displayed on the terminal device. It is characterized in that it includes a result transmission means for transmitting to.
  • the terminal device is a terminal device including a control unit, and the control unit includes a result acquisition means for acquiring a result of evaluating food from the viewpoint of cognitive function, and the result is the above-mentioned result.
  • the terminal device is communicably connected to the evaluation device performing the evaluation via a network, and the result acquisition means receives the result transmitted from the evaluation device. It is a feature.
  • the method for preventing cognitive decline is a calculation step of calculating the value of the amount of at least one amino acid among Lys, Ph, Thr and Ala in the food from the information about the food associated with the user. And a determination step for determining whether each value calculated in the calculation step has reached the threshold value, and a search for searching for information on foods containing a large amount of amino acids corresponding to the values determined not to reach the threshold value in the determination step. It is characterized by including a step and a providing step of providing the information about the food searched in the search step to the user as information for preventing cognitive decline.
  • the calculation step, the determination step, the search step, and the provision step are executed in the control unit of the information processing device including the control unit. It is a feature.
  • the preventive device is a preventive device including a control unit, and the control unit is at least one of Lys, Ph, Thr, and Ala in the food from the information about the food associated with the user.
  • the preventive device is communicably connected to the terminal device via a network
  • the control unit further includes data receiving means for receiving information about food associated with the user, and the providing means is , The information about the food is transmitted to the terminal device.
  • the preventive program according to the present invention is a preventive program to be executed in an information processing device provided with a control unit, and is executed in the food from information on food associated with the user to be executed in the control unit.
  • the search step for searching for information on foods containing a large amount of amino acids corresponding to the values determined to have not reached the threshold value, and the information on foods searched in the search step are provided to the user as information for preventing cognitive decline. It is characterized by including, and providing provision steps.
  • the recording medium according to the present invention is a computer-readable recording medium on which the preventive program is recorded.
  • the recording medium according to the present invention is a non-temporary computer-readable recording medium, characterized in that it includes a programmed instruction for causing an information processing apparatus to execute the preventive method. To do.
  • the preventive system is a preventive system configured by connecting a preventive device including a control unit and a terminal device including a control unit so as to be communicable via a network, and the control of the terminal device.
  • the unit includes a data receiving means for receiving information about food transmitted from the preventive device, and the control unit of the preventive device has a data receiving means for receiving information about food associated with the user and the data receiving unit.
  • a calculation means for calculating the value of the amount of at least one amino acid among Lys, Ph, Thr, and Ala in the food from the information about the food associated with the user received by the means, and each calculated by the calculation means.
  • a determination means for determining whether the value has reached the threshold a search means for searching for information on food containing a large amount of amino acids corresponding to the value determined by the determination means, and the search means. It is characterized by comprising a providing means for transmitting information on food to the terminal device as information for preventing cognitive decline.
  • the terminal device is a terminal device including a control unit, the control unit includes data acquisition means for acquiring information on food, and the information on food is related to food associated with a user. Concerning a food containing a large amount of amino acids corresponding to the value of the amount of at least one amino acid of Lys, Ph, Thr and Ala in the food calculated from the information and which is determined not to reach the threshold value. It is characterized in that it is the searched information and is provided as information for preventing cognitive decline.
  • the terminal device is communicably connected to the preventive device that performs the calculation, the determination, the search, and the provision via a network, and the data acquisition means is transmitted from the preventive device. It is characterized by receiving information about the food.
  • the evaluation method according to the present invention is an expression including a value of the amount of at least one amino acid among the 21 kinds of amino acids in the food ingested by the evaluation target, or a variable to which the value of the amount is substituted. It is characterized by including an evaluation step of evaluating the state of the cognitive function of the evaluation target by using the value of the formula calculated by using the value of the amount.
  • the evaluation method according to the present invention is characterized in that the evaluation step is executed in the control unit of the information processing device provided with the control unit.
  • the calculation method according to the present invention includes a value of the amount of at least one amino acid among the 21 kinds of amino acids in the food ingested by the evaluation target, and a variable to which the value of the said amount is substituted. It is characterized by including a calculation step of calculating the value of the formula using a formula for evaluating the state of cognitive function.
  • calculation method according to the present invention is characterized in that it is executed in the control unit of the information processing device provided with the control unit.
  • the evaluation device is an evaluation device including a control unit, and the control unit is a value of the amount of at least one amino acid among the 21 kinds of amino acids in the food ingested by the evaluation target.
  • the control unit is a value of the amount of at least one amino acid among the 21 kinds of amino acids in the food ingested by the evaluation target.
  • an evaluation means for evaluating the state of the cognitive function of the evaluation target is provided by using an expression including a variable to which the value of the amount is assigned and the value of the expression calculated using the value of the amount. It is characterized by that.
  • the evaluation device is communicably connected to the terminal device via a network, and the control unit receives information on the food ingested by the evaluation target (information for calculating the value of the amount).
  • a data receiving means for receiving the value of the amount calculated using the information or the value of the formula, and a result transmission of transmitting the result obtained by the evaluation means to the terminal device.
  • the evaluation means further comprises means, and (1) when the data receiving means receives the information, the process of calculating the value of the amount using the received information, or the receiving. Using the information, the value of the amount is calculated, the value of the calculated amount and the value of the formula are calculated using the formula, and the amount of the quantity obtained by the process is executed.
  • the reception It is characterized in that the state of the cognitive function of the evaluation target is evaluated by using the said value of the said amount or the said value of the formula.
  • the calculation device is a calculation device including a control unit, and the control unit is a value of the amount of at least one amino acid among the 21 kinds of amino acids in the food ingested by the evaluation target. It is characterized by comprising a calculation means for calculating the value of the formula by using the formula for evaluating the state of cognitive function, which includes a variable to which the value of the quantity is assigned.
  • the evaluation program according to the present invention is an evaluation program to be executed in an information processing apparatus provided with a control unit, and the 21 kinds of amino acids in the food ingested by the evaluation target to be executed in the control unit.
  • the evaluation target using the value of the amount of at least one amino acid, or the value of the formula including the variable to which the value of the amount is substituted and the value of the formula calculated using the value of the amount. It is characterized by including an evaluation step for evaluating the state of cognitive function.
  • the calculation program according to the present invention is a calculation program to be executed in an information processing apparatus provided with a control unit, and the 21 kinds of amino acids in the food ingested by the evaluation target to be executed in the control unit.
  • the recording medium according to the present invention is a computer-readable recording medium on which the evaluation program or the calculation program is recorded.
  • the recording medium according to the present invention is a non-temporary computer-readable recording medium, and includes a programmed instruction for causing an information processing apparatus to execute the evaluation method or the calculation method. , Is a feature.
  • the evaluation system is an evaluation system configured by connecting an evaluation device including a control unit and a terminal device including a control unit so as to be communicable via a network, and the control of the terminal device.
  • the unit includes a result receiving means for receiving the result of evaluating the state of cognitive function transmitted from the evaluation device, and the control unit of the evaluation device uses information about food ingested by the evaluation target and the information. Calculated using the value of the amount of at least one of the 21 kinds of amino acids in the food, or the formula including the variable to which the value of the amount is substituted and the value of the amount.
  • the data receiving means for receiving the value of the above formula, and (1) when the information is received by the data receiving means, a process of calculating the value of the amount using the received information, or A process of calculating the value of the amount using the received information, calculating the value of the formula using the calculated value of the amount and the formula was executed, and obtained by the process.
  • the state of the cognitive function of the evaluation target is evaluated using the value of the quantity or the value of the formula, and (2) the value of the quantity or the value of the formula is received by the data receiving means.
  • the evaluation means for evaluating the state of the cognitive function of the evaluation target and the result obtained by the evaluation means are transmitted to the terminal device using the received value of the amount or the value of the formula. It is characterized by including a result transmission means.
  • the terminal device is a terminal device including a control unit, and the control unit includes a result acquisition means for acquiring the result of evaluating the state of the cognitive function, and the evaluation target is the evaluation target.
  • the terminal device is communicably connected to the evaluation device performing the evaluation via a network, and the result acquisition means receives the result transmitted from the evaluation device. It is a feature.
  • the present invention for example, it is possible to provide information on whether the food to be evaluated is related to cognitive function. Further, according to the present invention, it is possible to provide information for preventing cognitive decline. Further, according to the present invention, it is possible to provide highly reliable information that can be used as a reference for knowing the state of cognitive function.
  • FIG. 1 is a principle configuration diagram showing the basic principle of the first embodiment.
  • FIG. 2 is a principle configuration diagram showing the basic principle of the second embodiment.
  • FIG. 3 is a diagram showing an example of the overall configuration of this system.
  • FIG. 4 is a diagram showing another example of the overall configuration of the system.
  • FIG. 5 is a block diagram showing an example of the configuration of the evaluation device 100 of this system.
  • FIG. 6 is a diagram showing an example of information stored in the amino acid-related data file 106a.
  • FIG. 7 is a diagram showing an example of information stored in the index state information file 106b.
  • FIG. 8 is a diagram showing an example of information stored in the designated index state information file 106c.
  • FIG. 9 is a diagram showing an example of information stored in the formula file 106d1.
  • FIG. 1 is a principle configuration diagram showing the basic principle of the first embodiment.
  • FIG. 2 is a principle configuration diagram showing the basic principle of the second embodiment.
  • FIG. 3 is a diagram showing
  • FIG. 10 is a diagram showing an example of information stored in the evaluation result file 106e.
  • FIG. 11 is a block diagram showing the configuration of the evaluation unit 102d.
  • FIG. 12 is a block diagram showing an example of the configuration of the client device 200 of this system.
  • FIG. 13 is a block diagram showing an example of the configuration of the database device 500 of this system.
  • FIG. 14 is a diagram showing the quantiles of each tertile of each of the plurality of parameters (amino acid intake, etc.).
  • FIG. 15 is a diagram showing the relationship between the value of each group of the plurality of parameters (amino acid intake, etc.) and the score of the logical memory I (immediate regeneration) of each of the plurality of parameters (amino acid intake, etc.).
  • FIG. 11 is a block diagram showing the configuration of the evaluation unit 102d.
  • FIG. 12 is a block diagram showing an example of the configuration of the client device 200 of this system.
  • FIG. 13 is a block diagram showing
  • FIG. 16 is a diagram showing the relationship between the value of each group of the plurality of parameters (amino acid intake, etc.) and the score of the logical memory II (delayed regeneration) of each of the plurality of parameters (amino acid intake, etc.).
  • FIG. 17 is a diagram showing the results of multiple regression analysis with WAIS-R (knowledge) as an outcome after 8 years.
  • FIG. 18 is a diagram showing the results of multiple regression analysis with WAIS-R (knowledge) as an outcome after 8 years.
  • FIG. 19 is a diagram showing evaluation results by AIC of an amino acid multivariate regression equation using various amino acids extracted by the stepwise method and an amino acid single variable regression equation using one kind of amino acid.
  • FIG. 20 is a diagram showing evaluation results by AIC of an amino acid multivariate regression equation using various amino acids extracted by the stepwise method and an amino acid single variable regression equation using one kind of amino acid.
  • FIG. 21 shows an amino acid two-variable regression equation using two kinds of amino acids composed of the amino acid used in the amino acid single-variable regression equation having the lowest AIC and the amino acid having the lowest correlation with the amino acid, and one kind of amino acid. It is a figure which shows the evaluation result by AIC about the amino acid single variable regression equation used.
  • FIG. 22 shows the results of logistic regression for evaluating the odds ratio at which the MMSE after 8 years is 27 points or less with respect to the two groups in which the daily intake of amino acids corresponds to the T1 group and the group does not correspond to the T1 group.
  • FIG. 23 is a diagram showing the range of daily intake of amino acids having a significant odds ratio in FIG. 21 in the T1 group by gender.
  • FIG. 24 is a diagram showing a range considered as the maximum intake of the first quantile of each amino acid.
  • FIG. 25 is a diagram showing a range considered as the maximum intake of the first quantile of each amino acid.
  • FIG. 26 is a diagram showing a range of amino acid requirements that can be considered from dietary intake standards.
  • FIG. 27 is a diagram showing a range considered as the maximum intake of the first quantile of each amino acid.
  • FIG. 28 is a diagram showing a range considered as the maximum intake of the first quantile of each amino acid.
  • FIG. 23 is a diagram showing the range of daily intake of amino acids having a significant odds ratio in FIG. 21 in the T1 group by gender.
  • FIG. 24 is a diagram showing a range considered as the maximum intake of the first quantile of each amino acid.
  • FIG. 25 is a diagram showing a range considered as the maximum
  • FIG. 29 is a diagram showing the results of analysis of covariance of the quartile group of amino acid scores for breakfast, lunch and dinner and logical memory II (delayed regeneration).
  • FIG. 30 is a diagram showing estimated values of logical memory II (delayed regeneration) scores by each model for each quartile group of amino acid scores for lunch.
  • FIG. 31 is a diagram showing test results in which the quartile group of the amino acid score of lunch was divided into two groups and compared.
  • FIG. 32 is a diagram showing quantiles at each quartile of the amino acid score of lunch.
  • FIG. 33 is a diagram showing a range considered as the maximum amino acid score of the amino acid score quantile of each lunch.
  • FIG. 34 is a diagram showing a range considered as the maximum amino acid score of the amino acid score quantile of each lunch.
  • FIG. 35 is a diagram showing the results of logistic regression for evaluating the odds ratio at which the MMSE after 4 cases is 27 points or less with respect to the two groups of the group corresponding to the T1 group and the group not corresponding to the amino acid score of breakfast.
  • FIG. 36 is a diagram showing the range of amino acid scores of breakfast in the T1 group, in which the odds ratio is significant in FIG. 35, by gender.
  • FIG. 37 is a diagram showing a range considered as the maximum value of the first quantile of the amino acid score of breakfast.
  • FIG. 38 is a diagram showing a range considered as the maximum value of the first quantile of the amino acid score of breakfast.
  • the following are the evaluation method, the calculation method and the preventive method embodiment (first embodiment) according to the present invention, and the evaluation device, the calculation device, the preventive device, the evaluation method, the calculation method, the preventive method and the evaluation program according to the present invention.
  • Embodiments (second embodiment) of the calculation program, the preventive program, the recording medium, the evaluation system, the preventive system, and the terminal device will be described in detail with reference to the drawings. The present invention is not limited to these embodiments.
  • FIG. 1 is a principle configuration diagram showing the basic principle of the first embodiment.
  • the foods in the present specification include meals (menus), foodstuffs, compositions containing amino acids, and the like.
  • the meal is not limited to one meal (for example, breakfast, lunch or dinner), but is equivalent to one meal for a certain period (for example, three days, one week or one month). It may be, and may correspond to the eating tendency, eating habits or eating (dietary habits) pattern of a user (for example, a group such as a family (family unit) or an individual such as a member of a family). May be good. In addition, it does not matter whether the meal is actually ingested by the user.
  • the amount may also include, for example, content, intake, amino acid score or amino acid score (sufficiency rate).
  • the amino acid score is an index for evaluating the content ratio of essential amino acids in food, and for example, the closer the value is to 100, the higher the quality of protein contained in the food.
  • the concept of the amino acid score is as follows: 1) The standard essential amino acid pattern (for example, the amino acid standard value proposed by FAO / WHO / UNU in 1985) and the ratio of essential amino acids in each food protein.
  • Protein digestibility corrected amino acid score (Sufficiency rate) means the ratio of each amino acid to the reference amino acid (for example, the amino acid reference value
  • the amount value may be calculated from, for example, information on food.
  • Information on food includes, for example, 1) photographs of food or foodstuffs, 2) purchase data (for example, POS (Point Of Sales) data) or electronic payment data on foodstuffs or foodstuffs that make up foodstuffs, and 3) food content.
  • a screen containing multiple options related to cooking classified into the options selected by the user on the screen (for example, “Tonkatsu” and “Shabushabu” classified as “Japanese food") is displayed on the monitor of an electronic device such as a smartphone or tablet terminal.
  • Information about the dish selected by the user in the displayed state (for example, the ingredients used in the dish and the amount thereof (for example, weight), etc.) may be used.
  • the value of the amount is, for example, the 3-day diet weighing method ("Gyoko Imai et al., 3-day diet record survey". It may be obtained from a photograph of a meal based on a method such as the effectiveness of photography, Journal of the Japanese Society of Food Life, 2009, 20 (3): 203-210. ").
  • the information on food is purchase data (for example, the one provided by the POS system on the retail store side)
  • the amount of amino acids and the like in the foodstuff estimated assuming that the purchased food is ingested as a meal.
  • a value or a value calculated by adding a correction to the value may be calculated, and the evaluation may be performed using the calculated value.
  • the food is evaluated from the viewpoint of cognitive function using the value of the amount contained in the amino acid-related data acquired in step S11 (step S12).
  • the cognitive function may be, for example, the cognitive function of the user who ingested the food at the time of ingesting the food, or the cognitive function of the user who ingested the food in the future from the time of ingesting the food.
  • Evaluating food from the perspective of cognitive function means, for example, whether the food to be evaluated is related to human cognitive function (specifically, the food to be evaluated may reduce human cognitive function. Evaluate whether there is sex (risk), etc.).
  • information such as the ratio or difference between the intake amounts of Lys, Ph, Thr and Ala and the threshold values of the intake amounts of Lys, Phe, Thr and Ala shown in Example 6 is provided. It may be used, or information on the minimum value of these four kinds of values and the summary statistic (mean value, etc.) may be used.
  • the first embodiment it is possible to provide information on, for example, whether the food to be evaluated is related to cognitive function.
  • the evaluation may be performed by calculating the value of the formula using the formula including the quantity value and the variable to which the value is assigned.
  • the value of the quantity may be treated as the result of the evaluation (the same applies to the value of the formula).
  • the value of the quantity may be converted by, for example, the following method, and the converted value may be treated as the result of the evaluation (the same applies to the value of the formula).
  • the quantity value in the present specification may be the quantity value itself, or may be the value after converting the quantity value (the same applies to the value of the formula).
  • the conversion method will be described below. In the following description, the value of the quantity is the conversion target, but the same applies to the value of the formula.
  • the possible range of quantity values is a predetermined range (eg 0.0 to 1.0, 0.0 to 10.0, 0.0 to 100.0, or -10.0.
  • the value of p / (1-p)) when ⁇ p)) is equal to the value of the quantity may be further calculated, or the calculated value of the exponential function is divided by the sum of 1 and the value. (Specifically, the value of the probability p) may be further calculated. Further, the value of the quantity may be converted so that the converted value under a specific condition becomes a specific value. For example, the value of the quantity may be converted so that the converted value when the specificity is 80% is 5.0 and the converted value when the specificity is 95% is 8.0. Further, after the distribution of the quantity values is normally distributed, the quantity values may be converted into deviation values so that the average is 50 and the standard deviation is 10. In addition, these conversions may be performed by gender or age.
  • the position information regarding the position of a predetermined mark on a predetermined measuring rod visually displayed on a display device such as a monitor or a physical medium such as paper is converted into a quantity value or, if the value is converted, after the conversion. It may be generated using the value, and it may be determined that the generated position information is the result of the evaluation (the same applies to the value of the formula).
  • the predetermined measuring rod is for performing the evaluation, for example, a measuring rod with a scale, which is "a range in which a quantity value or a converted value can be taken, or a part of the range".
  • the scale corresponding to the upper limit value and the lower limit value in "" is shown at least (the same applies to the value of the formula).
  • the predetermined mark corresponds to the value of the quantity or the value after conversion, and is, for example, a circle mark or a star mark (the same applies to the value of the formula).
  • the amount value is lower than or less than a predetermined value (mean value ⁇ 1SD, 2SD, 3SD, N quantile, N percentile, cutoff value with clinical significance, etc.) or a predetermined value. If it is above or higher than the predetermined value, the above evaluation may be performed (the same applies to the value of the formula). At that time, the deviation value may be used instead of the quantity value itself (the same applies to the value of the formula). For example, when the deviation value is less than the mean value-2SD (when the deviation value ⁇ 30) or when the deviation value is higher than the mean value + 2SD (when the deviation value> 70), the evaluation may be performed (in the equation). The same applies to the value).
  • a predetermined value mean value ⁇ 1SD, 2SD, 3SD, N quantile, N percentile, cutoff value with clinical significance, etc.
  • the above evaluation may be performed (the same applies to the value of the formula).
  • the deviation value may be used instead of the quantity value itself (the same applies to the value of the formula).
  • the food to be evaluated may be classified into one of a plurality of categories defined at least considering the degree of association with cognitive function.
  • the plurality of categories include a category for belonging a highly related object, a category for belonging a less related object, and a category for belonging a mediumly related object. May be good.
  • the plurality of categories may include a category for belonging a highly relevant object and a category for belonging a less relevant object.
  • the quantity value or the formula value may be converted by a predetermined method, and the converted value may be used to classify the food to be evaluated into any one of a plurality of categories.
  • the format of the formula used in the evaluation is not particularly limited, but may be, for example, the formula shown below.
  • Linear models such as multiple regression equations, linear discrimination formulas, principal component analysis, canonical discrimination analysis based on the least squares method
  • Generalized linear models such as logistic regression and Cox regression based on the most likely method
  • Generalized linear mixed model considering variable effects such as individual differences and facility differences-Formulas created by cluster analysis such as K-means method and hierarchical cluster analysis-MCMC (Markov chain Monte Carlo method), Bayesian network, Expressions created based on Bayesian statistics such as the hierarchical Bayes method
  • Expressions created by classification such as support vector machines and decision trees
  • Expressions created by methods that do not belong to the above categories such as partial equations ⁇ Sum of expressions of different formats Expression as shown by
  • the coefficient and the constant term may be preferably a real number, and more preferably.
  • each coefficient and its confidence interval may be obtained by multiplying it by a real number
  • the value of the constant term and its confidence interval may be obtained by adding, subtracting, multiplying or dividing an arbitrary real constant.
  • the numerator of the fractional expression is represented by the sum of variables A, B, C, ... And / or the denominator of the fractional expression is the sum of variables a, b, c, ... It is represented by.
  • the fractional formula also includes the sum of the fractional formulas ⁇ , ⁇ , ⁇ , ... (For example, ⁇ + ⁇ ) having such a configuration.
  • the fractional expression also includes a divided fractional expression.
  • the variables used for the numerator and denominator may have appropriate coefficients. Also, the variables used for the numerator and denominator may be duplicated. In addition, an appropriate coefficient may be added to each fractional formula.
  • each variable and the value of the constant term may be real numbers.
  • a certain denominator formula and the one in which the variable of the molecule and the variable of the denominator are exchanged in the denominator formula generally reverse the positive and negative signs of the correlation with the objective variable, but the correlation between them is maintained. Since the evaluation performance can be regarded as equivalent, the denominator formula includes the variable of the molecule and the variable of the denominator exchanged.
  • the formula used in the evaluation may further include one or a plurality of variables to which the values related to the following items are assigned, in addition to the variables to which the value of the quantity is assigned. ..
  • Three food groups defined by the food classification method of three-color food group (food group classified as “red”, food group classified as “yellow” and “green” Foods classified as “") ⁇
  • Six food groups (groups 1 to 6) defined by the food classification method called basic food groups • Attribute information (eg age, gender or family structure), physical information (eg height, weight, muscle mass, body fat mass, clinical test values, vital signs, metabolite concentration, etc.), health information (eg health related) Information), dietary or lifestyle survey information (eg, including survey results on dietary or lifestyle concerns), behavioral information (eg, digital data on steps, walking speed, voice, gaze or facial expressions, etc.)
  • the evaluation target is not limited to food, and may be, for example, a user.
  • the value of the amount of at least one of the 21 kinds of amino acids in the food ingested by the user for example, a single dose or a certain period of food
  • the state of the user's cognitive function eg, food
  • the state of cognitive function at the time of ingestion or the state of cognitive function in the future from the time of ingestion of food may be evaluated.
  • the value of the amount of at least one amino acid among Lys, Ph, Thr and Ala in the food is calculated from the information on the food associated with the user. It is determined whether each calculated value has reached a threshold value (for example, a threshold value set for each amino acid), and a food containing a large amount of amino acids corresponding to the value determined not to reach the threshold value (for example, corresponding to the value). Information on foods containing amino acids equal to or greater than the difference between the threshold value and the value) may be searched, and the information on the searched foods may be provided to the user as information for preventing cognitive decline.
  • a threshold value for example, a threshold value set for each amino acid
  • Information on foods containing amino acids equal to or greater than the difference between the threshold value and the value may be searched, and the information on the searched foods may be provided to the user as information for preventing cognitive decline.
  • the method for preventing cognitive decline according to the present embodiment may be regarded as corresponding to the information providing method for preventing cognitive decline.
  • "preventing cognitive decline” is not limited to preventing cognitive decline, but for example, maintaining cognitive function, preventing dementia, maintaining brain function, or maintaining brain health. It also includes that.
  • the calculation in the method for preventing cognitive decline according to the present embodiment for example, among Lys, Ph, Thr, Ala, Leu, Tyr, Trp, Val, Ser, SAA, BCAA, Ile and AAA in food. At least one of the values of the amount of at least one amino acid and the value of the amino acid score of food (eg, breakfast equivalent) may be calculated.
  • Example 3 the value of the amount of at least one amino acid among Lys, Ph, Thr, Ala, Leu, Tyr, Trp, Val, Ser, SAA, BCAA, Ile and AAA is shown in Example 3, for example.
  • FIG. 2 is a principle configuration diagram showing the basic principle of the second embodiment.
  • the description overlapping with the above-described first embodiment may be omitted.
  • the case where the value of the formula or the value after conversion thereof is used when performing the evaluation is described as an example, but for example, the value of quantity or the value after conversion thereof may be used.
  • the control unit performs the evaluation by calculating the value of the formula using the formula stored in the storage unit in advance including the value of the quantity and the variable to which the value is assigned (step S21). This makes it possible to provide information regarding, for example, whether the food to be evaluated is related to cognitive function.
  • control unit uses the evaluation result obtained in step S21 (for example, the evaluation result of the meal content from the viewpoint of the relationship with the cognitive function), and the information leading to the improvement of the eating habits according to the evaluation result.
  • Generate information for example, information on dietary balance or information on menu / food proposals
  • information on solutions according to the evaluation result for example, information on dietary guidance, home-meal service meal kits or supplements
  • the generated information may be provided (transmitted) to, for example, an information processing device owned by the client.
  • control unit uses the evaluation result obtained in step S21 to generate information that leads to or is related to insurance premium calculation or insurance product development in the insurance company, and the generated information is owned by, for example, the client. It may be provided (transmitted) to an information processing device.
  • control unit uses the evaluation result obtained in step S21 to obtain human attribute information (for example, age, gender, family composition, etc.), human behavior information (for example, steps, walking speed, voice, line of sight, facial expression, etc.).
  • human attribute information for example, age, gender, family composition, etc.
  • human behavior information for example, steps, walking speed, voice, line of sight, facial expression, etc.
  • Information about health programs linked to or physical information eg, height, weight, muscle mass, body fat mass, clinical test values, vital signs, metabolite concentration information or health-related information
  • fitness Information about the program in the above may be generated, and the generated information may be provided (transmitted) to, for example, an information processing device owned by the client.
  • control unit uses the evaluation result obtained in step S21, for example, individual attribute information (for example, age, gender or family composition, etc.), individual eating habits, individual eating habits, individual eating habit patterns or individuals.
  • Personalized information may be generated for an individual by combining with information related to the preference of the individual, and the generated information may be provided (transmitted) to, for example, an information processing device owned by the client.
  • control unit may evaluate future cognitive function, risk of diseases related to cognitive function, risk of physical condition change such as bedridden, behavioral change risk or life expectancy, etc. using the evaluation result obtained in step S21. Good.
  • control unit calculates the value of the amount of at least one amino acid of Lys, Ph, Thr, and Ala in the food from the information about the food associated with the user, and each calculated value is a threshold value (for example, each). It is determined whether or not the threshold value set for each amino acid has been reached, and the food containing a large amount of amino acids corresponding to the value determined not to reach the threshold value (for example, the amino acid corresponding to the value is the threshold value and the value). Information on foods containing more than the difference may be searched, and the information on the searched foods may be provided to the user as information for preventing cognitive decline. For example, the control unit may provide (transmit) information about food to an information processing device owned by the user.
  • step S21 may be one created based on the formula creation process (steps 1 to 4) described below.
  • the outline of the expression creation process will be described. The process described here is just an example, and the method of creating an expression is not limited to this.
  • the control unit has index state information (data having missing values, outliers, etc.) previously stored in the storage unit, including amino acid-related data and index data related to the value of the cognitive function evaluation index, removed in advance.
  • index state information data having missing values, outliers, etc.
  • a plurality of different formula creation methods are performed from the index state information.
  • a plurality of candidate formulas may be created in combination with those related to multivariate analysis such as trees.
  • a plurality of groups of candidate expressions may be created in parallel using a plurality of different algorithms.
  • discriminant analysis and logistic regression analysis may be performed simultaneously using different algorithms to create two different candidate expressions.
  • the candidate formula may be created by converting the index state information using the candidate formula created by performing the principal component analysis and performing discriminant analysis on the converted index state information. As a result, the optimum formula for the evaluation can be finally created.
  • the candidate formula created using principal component analysis is a linear formula that includes each variable that maximizes the variance of all amino acid-related data.
  • the candidate formulas created using discriminant analysis are higher-order formulas (including exponents and logarithms) that include each variable that minimizes the ratio of the sum of the variances within each group to the variances of all amino acid-related data.
  • the candidate expression created using the support vector machine is a high-order expression (including a kernel function) including each variable that maximizes the boundary between groups.
  • the candidate formula created by using the multiple regression analysis is a higher-order formula including each variable that minimizes the sum of the distances from all the amino acid-related data.
  • the candidate formula created by using Cox regression analysis is a linear model including a logarithmic hazard ratio, and is a linear formula including each variable and its coefficient that maximizes the likelihood of the model.
  • the candidate expression created by using the logistic regression analysis is a linear model representing the logarithmic odds of the probability, and is a linear expression including each variable that maximizes the likelihood of the probability.
  • k-means method k neighborhoods of each amino acid-related data are searched, the group to which the neighborhood points belong is defined as the group to which the data belongs, and the input amino acid-related data is input. This is a method of selecting a variable that best matches the group to which it belongs and the defined group.
  • cluster analysis is a method of clustering points that are closest to each other among all amino acid-related data.
  • the decision tree is a method of ordering variables and predicting a group of amino acid-related data from possible patterns of variables having a higher rank.
  • the control unit verifies (mutually verifies) the candidate formula created in step 1 based on a predetermined verification method (step 2).
  • the verification of the candidate formula is performed for each candidate formula created in step 1.
  • step 2 based on at least one of the bootstrap method, holdout method, N-fold method, leave one-out method, etc., the discrimination rate, sensitivity, specificity, information criterion, ROC_AUC (ROC_AUC) of the candidate formula ( At least one of (the area under the curve of the receiver characteristic curve) and the like may be verified. This makes it possible to create a candidate formula with high predictability or robustness in consideration of index state information and evaluation conditions.
  • the discrimination rate is the evaluation method according to the present embodiment, in which an evaluation target whose true state is negative (for example, food having a low relevance to cognitive function) is correctly evaluated as negative, and the true state is evaluated. Is the percentage of evaluation targets that are positive (for example, foods that are highly related to cognitive function) that are correctly evaluated as positive. Further, the sensitivity is a ratio in which the evaluation target whose true state is positive is correctly evaluated as positive in the evaluation method according to the present embodiment. Further, the specificity is the ratio at which the evaluation target whose true state is negative is correctly evaluated as negative in the evaluation method according to the present embodiment.
  • the Akaike Information Criterion is a standard that indicates how well the observed data matches the statistical model in the case of regression analysis, etc., and is "-2 x (maximum log-likelihood of the statistical model) + 2 x (statistics).
  • the model with the smallest value defined in "Number of free parameters of the model)" is judged to be the best.
  • the value of is 1 in the complete discrimination, and the closer this value is to 1, the higher the discrimination.
  • the predictability is an average of the discrimination rate, sensitivity, and specificity obtained by repeating the verification of the candidate formula.
  • Robustness is a variance of discrimination rate, sensitivity, and specificity obtained by repeating verification of candidate formulas.
  • the control unit selects the variable of the candidate expression based on the predetermined variable selection method, and then selects the combination of amino acid-related data included in the index state information used when creating the candidate expression.
  • Select step 3
  • the variable may be selected for each candidate expression created in step 1.
  • step 1 is executed again using the index state information including the amino acid-related data selected in step 3.
  • a variable of the candidate expression may be selected based on at least one of the stepwise method, the best path method, the neighborhood search method, and the genetic algorithm from the verification result in step 2.
  • the best path method is a method of selecting variables by sequentially reducing the variables included in the candidate expression one by one and optimizing the evaluation index given by the candidate expression.
  • the control unit repeatedly executes the above-mentioned steps 1, 2 and 3 and, based on the verification results accumulated by this, is a candidate to be used in the evaluation from among a plurality of candidate formulas.
  • the formula used for the evaluation is created (step 4).
  • the candidate formula for example, there are a case where the optimum one is selected from the candidate formulas created by the same formula creation method and a case where the optimum one is selected from all the candidate formulas.
  • the processes related to the creation of the candidate expression, the verification of the candidate expression, and the selection of the variable of the candidate expression are systematized (systematized) in a series of flows based on the index state information.
  • the optimum formula for the evaluation can be created.
  • amino acid-related data is used for multivariate statistical analysis, and variable selection methods and cross-validation are combined to select the optimal and robust set of variables to extract formulas with high evaluation performance. To do.
  • FIG. 3 is a diagram showing an example of the overall configuration of this system.
  • FIG. 4 is a diagram showing another example of the overall configuration of this system.
  • this system provides an evaluation device 100 for performing the evaluation, photographs of meals, foodstuffs, etc., which are examples of information on food, or textual information on explanation of meal contents, and the result of the evaluation. It is configured by connecting the client device 200 (corresponding to the terminal device of the present invention) of the user who receives the above and the like so as to be able to communicate with the network 300.
  • the client device 200 corresponding to the terminal device of the present invention
  • the client device 200 may calculate a quantity value using a photograph of a meal, an ingredient, or the like or character information related to an explanation of the meal content, and provide the calculated value. .. Further, in the system configuration shown in FIG. 3, the client device 200 calculates a quantity value using a photograph of a meal, an ingredient, or the like or character information related to an explanation of the meal content, and substitutes the calculated quantity value and the value.
  • the value of the formula may be calculated using a preset formula including the variable to be used, and the value of the calculated formula may be provided.
  • the client device 200 that provides the data used for the evaluation and the client device 200 that provides the evaluation result may be different.
  • this system includes an evaluation device 100, a client device 200 of a user who receives the evaluation result and the like, and a POS system 400 on the retail store side which provides purchase data which is an example of information on food. May be connected so as to be communicable via the network 300.
  • the POS system 400 is a general one used in the retail industry and the like.
  • the POS system 400 may further have a function of calculating a quantity value using purchase data and providing the calculated value.
  • a database device 500 (shown in FIGS. 3 and 4) that stores index state information used when creating an expression in the evaluation device 100, an expression used in evaluation, and the like. ) May be further provided.
  • FIG. 5 is a block diagram showing an example of the configuration of the evaluation device 100 of the present system, and conceptually shows only the portion of the configuration related to the present invention.
  • the evaluation device 100 uses a control unit 102 such as a CPU (Central Processing Unit) that collectively controls the evaluation device, a communication device such as a router, and a wired or wireless communication line such as a dedicated line. It is composed of a communication interface unit 104 that is communicably connected to the network 300, a storage unit 106 that stores various databases, tables, files, and the like, and an input / output interface unit 108 that is connected to the input device 112 and the output device 114. These parts are connected so as to be able to communicate with each other via an arbitrary communication path.
  • a control unit 102 such as a CPU (Central Processing Unit) that collectively controls the evaluation device, a communication device such as a router, and a wired or wireless communication line such as a dedicated line. It is composed of a communication interface unit 104 that is communicably connected to the network 300, a storage unit 106 that stores various databases, tables, files, and the like, and an input / output interface unit 108 that is connected to the input device
  • the communication interface unit 104 mediates communication between the evaluation device 100 and the network 300 (or a communication device such as a router). That is, the communication interface unit 104 has a function of communicating data with another terminal via a communication line.
  • the input / output interface unit 108 is connected to the input device 112 and the output device 114.
  • the output device 114 a speaker or a printer can be used in addition to a monitor (including a home television) (in the following, the output device 114 may be described as the monitor 114).
  • the input device 112 can use a monitor that realizes a pointing device function in cooperation with the mouse.
  • the storage unit 106 is a storage means, and for example, a memory device such as a RAM (Random Access Memory) or a ROM (Read Only Memory), a fixed disk device such as a hard disk, a flexible disk, an optical disk, or the like can be used.
  • a computer program for giving instructions to the CPU and performing various processes in cooperation with the OS (Operating System) is recorded.
  • the storage unit 106 stores an amino acid-related data file 106a, an index state information file 106b, a designated index state information file 106c, an expression-related information database 106d, and an evaluation result file 106e.
  • the amino acid-related data file 106a stores amino acid-related data related to the amount value.
  • FIG. 6 is a diagram showing an example of information stored in the amino acid-related data file 106a.
  • the information stored in the amino acid-related data file 106a is configured by correlating the identification data for uniquely identifying the evaluation target and the amino acid-related data.
  • the amino acid-related data is treated as a numerical value, that is, a continuous scale, but the amino acid-related data may be a nominal scale or an ordinal scale. In the case of a nominal scale or an ordinal scale, analysis may be performed by giving an arbitrary numerical value to each state.
  • information on the above items may be combined with amino acid-related data.
  • the index status information file 106b stores the index status information used when creating an expression.
  • FIG. 7 is a diagram showing an example of information stored in the index state information file 106b.
  • the information stored in the index state information file 106b includes identification data, index data (T) related to cognitive function evaluation indexes (index T1, index T2, index T3 ...), and amino acid-related information. It is configured by associating data with each other.
  • the index data and the amino acid-related data are treated as numerical values (that is, continuous scales), but the index data and the amino acid-related data may be a nominal scale or an ordinal scale. In the case of a nominal scale or an ordinal scale, analysis may be performed by giving an arbitrary numerical value to each state.
  • the designated index status information file 106c stores the index status information designated by the designated unit 102b described later.
  • FIG. 8 is a diagram showing an example of information stored in the designated index state information file 106c. As shown in FIG. 8, the information stored in the designated index state information file 106c is configured by correlating the individual number, the designated index data, and the designated amino acid-related data with each other.
  • the formula-related information database 106d is composed of a formula file 106d1 that stores the formula created by the formula creation unit 102c described later.
  • the expression file 106d1 stores the expression used at the time of evaluation.
  • FIG. 9 is a diagram showing an example of information stored in the formula file 106d1. As shown in FIG. 9, the information stored in the expression file 106d1 mutually includes the rank, the expression, the threshold value corresponding to each expression creation method, and the verification result (for example, the value of each expression) of each expression. It is configured in association.
  • the evaluation result file 106e stores the evaluation results obtained by the evaluation unit 102d, which will be described later.
  • FIG. 10 is a diagram showing an example of information stored in the evaluation result file 106e.
  • the information stored in the evaluation result file 106e includes identification data, amino acid-related data, and evaluation results (for example, the value of the formula calculated by the calculation unit 102d1 described later, the value after conversion obtained by the conversion unit 102d2 described later). , The position information generated by the generation unit 102d3 described later, or the classification result obtained by the classification unit 102d4 described later, etc.) are associated with each other.
  • the control unit 102 has an internal memory for storing a control program such as an OS, a program that defines various processing procedures, and required data, and executes various information processing based on these programs. As shown in the drawing, the control unit 102 is roughly divided into an acquisition unit 102a, a designation unit 102b, an expression creation unit 102c, an evaluation unit 102d, a result output unit 102e, and a transmission unit 102f. Even if the control unit 102 performs data processing on the index state information and amino acid-related data, such as removing data having missing values, removing data having many outliers, and removing variables having many missing values. Good.
  • the acquisition unit 102a acquires information (specifically, food-related information, amino acid-related data, index status information, formulas, etc.). For example, the acquisition unit 102a transmits information (specifically, food-related information, amino acid-related data, index state information, formulas, etc.) transmitted from the client device 200, the POS system 400, and the database device 500 via the network 300. Information may be acquired by receiving the information.
  • the acquisition unit 102a may receive data used for evaluation transmitted from a client device 200 different from the client device 200 to which the evaluation result is transmitted. For example, when the evaluation device 100 includes a mechanism (including hardware and software) for reading information recorded on the recording medium, the acquisition unit 102a may use the information recorded on the recording medium (specifically, the information recorded on the recording medium). May acquire information by reading out information on food, amino acid-related data, index state information, formula, etc.) through the mechanism.
  • the designation unit 102b designates the index data and the amino acid-related data to be targeted when creating the formula.
  • the formula creation unit 102c creates a formula based on the index state information acquired by the acquisition unit 102a and the index state information designated by the designation unit 102b.
  • the formula creation unit 102c may create the formula by selecting a desired formula from the storage unit 106.
  • the formula creation unit 102c may create a formula by selecting and downloading a desired formula from another computer device (for example, database device 500) in which the formula is stored in advance.
  • the evaluation unit 102d uses the formula obtained in advance (for example, the formula created by the formula creation unit 102c or the formula acquired by the acquisition unit 102a) and the value of the amount obtained in advance (for example, the acquisition unit 102a).
  • the evaluation is performed by calculating the value of the formula using the value of the amount contained in the acquired amino acid-related data or the value of the amount calculated by the evaluation unit 102d.
  • the evaluation unit 102d may perform the evaluation using the value of the quantity or the converted value of the value.
  • FIG. 11 is a block diagram showing the configuration of the evaluation unit 102d, and conceptually shows only the portion of the configuration related to the present invention.
  • the evaluation unit 102d further includes a calculation unit 102d1, a conversion unit 102d2, a generation unit 102d3, and a classification unit 102d4.
  • the calculation unit 102d1 calculates the value of the formula using the formula including the value of the quantity and the variable to which the value is assigned.
  • the calculation unit 102d1 may use information about food (for example, purchase data transmitted from the POS system 400, photographs of meals / ingredients transmitted from the client device 200, or textual information regarding explanations of meal contents transmitted from the client device 200). Etc.) may be used to calculate the value of the quantity.
  • the evaluation unit 102d may store the value calculated by the calculation unit 102d1 as an evaluation result in a predetermined storage area of the evaluation result file 106e.
  • the conversion unit 102d2 converts the value of the formula calculated by the calculation unit 102d1 by, for example, the conversion method described above.
  • the evaluation unit 102d may store the value after conversion by the conversion unit 102d2 as an evaluation result in a predetermined storage area of the evaluation result file 106e.
  • the conversion unit 102d2 may convert the value of the quantity by, for example, the conversion method described above.
  • the generation unit 102d3 uses the value of the formula calculated by the calculation unit 102d1 or the conversion unit 102d2 to obtain position information regarding the position of a predetermined mark on a predetermined measuring rod visually displayed on a display device such as a monitor or a physical medium such as paper. It is generated using the value converted in (may be the value of the quantity or the value after conversion of the value).
  • the evaluation unit 102d may store the position information generated by the generation unit 102d3 as an evaluation result in a predetermined storage area of the evaluation result file 106e.
  • the classification unit 102d4 uses the value of the formula calculated by the calculation unit 102d1 or the value after conversion by the conversion unit 102d2 (may be a quantity value or a value after conversion of the value) to classify the evaluation target into the plurality of categories. Classify into one of them.
  • the result output unit 102e outputs the processing results (including the evaluation results obtained by the evaluation unit 102d) of each processing unit of the control unit 102 to the output device 114.
  • the transmission unit 102f transmits information such as evaluation results, food information, quantity values, and formula values to the client device 200, and the formulas and evaluation results created by the evaluation device 100 to the database device 500. Information is sent.
  • the transmission unit 102f may transmit the evaluation result to a client device 200 different from the client device 200 that transmits the data used for the evaluation.
  • FIG. 12 is a block diagram showing an example of the configuration of the client device 200, and conceptually shows only the portion of the configuration related to the present invention.
  • the client device 200 is composed of a control unit 210, a ROM 220, an HD (Hard Disk) 230, a RAM 240, an input device 250, an output device 260, an input / output IF270, and a communication IF280, and each of these units is via an arbitrary communication path. Is connected so that it can communicate with each other.
  • the client device 200 is, for example, a known personal computer, workstation, home game device, Internet TV, PHS (Personal Handyphone System) terminal, mobile terminal, mobile communication terminal, PDA (Personal Digital Assistant), smartphone, tablet terminal. It may be based on an information processing terminal or the like.
  • the input device 250 is a keyboard, mouse, microphone, or the like.
  • the monitor 261 described later also realizes a pointing device function.
  • the output device 260 is an output means for outputting information received via the communication IF 280, and includes a monitor (including a home television) 261. In addition, the output device 260 may be provided with a speaker or the like.
  • the input / output IF270 is connected to the input device 250 and the output device 260.
  • the client device 200 may further include an imaging device such as a camera.
  • the communication IF280 connects the client device 200 and the network 300 (or a communication device such as a router) in a communicable manner.
  • the control unit 210 includes a transmission unit 211 and a reception unit 212.
  • the transmission unit 211 transmits information such as a photograph of meals / ingredients, which is an example of information on foods, or textual information on explanations of meal contents, to the evaluation device 100 via the communication IF280.
  • the receiving unit 212 receives information such as an evaluation result, information on food, a quantity value, and an expression value transmitted from the evaluation device 100 via the communication IF280.
  • the control unit 210 may be realized by a CPU and a program that interprets and executes all or any part of the processing performed by the control unit by the CPU and the CPU.
  • a computer program for giving instructions to the CPU in cooperation with the OS and performing various processes is recorded in the ROM 220 or HD 230.
  • the computer program is executed by being loaded into the RAM 240, and constitutes the control unit 210 in cooperation with the CPU.
  • the computer program may be recorded in an application program server connected to the client device 200 via an arbitrary network, and the client device 200 may download all or a part thereof as needed. ..
  • all or any part of the processing performed by the control unit 210 may be realized by hardware such as wired logic.
  • control unit 210 includes an evaluation unit 210a (calculation unit 210a1, conversion unit 210a2, generation unit 210a3, and classification unit 210a4) having the same function as that of the evaluation unit 102d provided in the evaluation device 100. ) May be provided.
  • the evaluation unit 210a receives a quantity value or an expression value from the evaluation device 100
  • the conversion unit 210a2 converts the received value
  • the generation unit 210a3 converts the received value or the converted value.
  • the position information corresponding to the value may be generated, or the evaluation target may be classified into any one of the plurality of categories by using the received value or the converted value in the classification unit 210a4.
  • the evaluation unit 210a3 may generate the position information corresponding to the received value.
  • the evaluation target may be classified into any one of a plurality of categories by using the received value in the classification unit 210a4.
  • the evaluation unit 210a4 uses the received value to evaluate the evaluation target. It may be classified into any one of a plurality of categories.
  • the network 300 has a function of connecting the evaluation device 100, the client device 200, the POS system 400, and the database device 500 (not shown in FIGS. 3 and 4) so as to be able to communicate with each other.
  • the Internet for example, the Internet, an intranet, or a LAN. (Local Area Network) (including both wired and wireless) and the like.
  • the network 300 includes VAN (Value-Added Network), personal computer communication network, public switched telephone network (including both analog / digital), dedicated line network (including both analog / digital), and CATV ().
  • IMT International Mobile Telecommunication
  • GSM Global System for Mobile Communications
  • PDCill including methods, etc.
  • wireless calling networks local wireless networks such as Bluetooth (registered trademark), PHS networks, satellite communication networks (CS (Communication Satellite), BS (Roadcasting Satellite), or ISDB (Integrated Services Digital Broadcast). ) Etc.) and the like.
  • FIG. 13 is a block diagram showing an example of the configuration of the database device 500 of the present system, and conceptually shows only the portion of the configuration related to the present invention.
  • the database device 500 has a function of storing index state information used when creating an expression in the evaluation device 100 or the database device, an expression created in the evaluation device 100, an evaluation result in the evaluation device 100, and the like.
  • the database device 500 uses a control unit 502 such as a CPU that collectively controls the database device, a communication device such as a router, and a wired or wireless communication circuit such as a dedicated line.
  • a communication interface unit 504 that connects the device to the network 300 so that it can communicate, a storage unit 506 that stores various databases, tables, files (for example, files for Web pages), and an input / output device 512 that connects to the input device 512 and the output device 514. It is composed of an output interface unit 508, and each of these units is connected so as to be communicable via an arbitrary communication path.
  • the storage unit 506 is a storage means, and for example, a memory device such as a RAM / ROM, a fixed disk device such as a hard disk, a flexible disk, an optical disk, or the like can be used.
  • Various programs and the like used for various processes are stored in the storage unit 506.
  • the communication interface unit 504 mediates communication between the database device 500 and the network 300 (or a communication device such as a router). That is, the communication interface unit 504 has a function of communicating data with another terminal via a communication line.
  • the input / output interface unit 508 is connected to the input device 512 and the output device 514.
  • the output device 514 a speaker or a printer can be used in addition to a monitor (including a home television).
  • the input device 512 in addition to a keyboard, a mouse, and a microphone, a monitor that realizes a pointing device function in cooperation with the mouse can be used.
  • the control unit 502 has an internal memory for storing a control program such as an OS, a program that defines various processing procedures, required data, and the like, and executes various information processing based on these programs. As shown in the drawing, the control unit 502 includes a transmission unit 502a and a reception unit 502b.
  • the transmission unit 502a transmits various information such as index state information and formulas to the evaluation device 100.
  • the receiving unit 502b receives various information such as an expression and an evaluation result transmitted from the evaluation device 100.
  • the evaluation device 100 executes from the acquisition of amino acid-related data and the like, the calculation of the value of the formula, the classification into the categories to be evaluated, and the transmission of the evaluation result, and the client device 200 executes the evaluation result.
  • the case of executing reception is given as an example, but when the client device 200 is provided with the evaluation unit 210a, for example, calculation of a quantity value or an expression value, conversion of an quantity value or an expression value, and position information
  • the evaluation device 100 and the client device 200 may appropriately share and execute the generation of the data and the classification into the categories to be evaluated.
  • the preventive system according to the second embodiment may be constructed based on, for example, this system.
  • the evaluation device 100 determines whether the value of the amount calculated by the calculation unit 102d1 has reached the threshold value, and the amino acid corresponding to the value of the amount determined by the determination unit to not reach the threshold value.
  • a search unit for searching information related to foods containing a large amount of food
  • information processing composed of the following processes A1 to A6 can be realized.
  • Process A1 The acquisition unit 102a acquires information about food associated with the user.
  • Process A2 The calculation unit 102d1 calculates a quantity value from the acquired information on the food.
  • Process A3 The determination unit determines whether the value of the calculated amount has reached the threshold value.
  • Process A4 The search unit searches for information on foods containing a large amount of amino acids corresponding to the value of the amount determined by the determination unit that the threshold value has not been reached.
  • Process A5 The transmission unit 102f transmits the information about the food searched by the search unit to the client device 200 as information for preventing cognitive decline.
  • Process A6 The client device 200 receives the food information transmitted from the evaluation device 100.
  • evaluation device calculation device, prevention device, evaluation method, calculation method, prevention method, evaluation program, calculation program, prevention program, recording medium, evaluation system, prevention system, and terminal device according to the present invention are the second embodiment described above. Other than that, it may be implemented in various different embodiments within the scope of the technical idea described in the scope of the claim.
  • all or a part of the processes described as being automatically performed can be manually performed, or the processes described as being manually performed. It is also possible to automatically perform all or part of the above by a known method.
  • processing procedure, control procedure, specific name, information including parameters such as registration data and search conditions of each processing, screen examples, and database configuration shown in the above documents and drawings are not specified unless otherwise specified. Can be changed arbitrarily.
  • each component shown in the figure is a functional concept and does not necessarily have to be physically configured as shown in the figure.
  • each processing function performed by the control unit 102 even if all or any part thereof is realized by the CPU and a program interpreted and executed by the CPU. It may be implemented as hardware by wired logic.
  • the program is recorded on a non-temporary computer-readable recording medium containing a programmed instruction for causing the information processing apparatus to execute the evaluation method or calculation method according to the present invention, and is evaluated as necessary. It is read mechanically by the device 100. That is, in a storage unit 106 such as a ROM or an HDD (Hard Disk Drive), a computer program for giving instructions to the CPU in cooperation with the OS and performing various processes is recorded. This computer program is executed by being loaded into RAM, and constitutes a control unit in cooperation with a CPU.
  • this computer program may be stored in the application program server connected to the evaluation device 100 via an arbitrary network, and all or a part thereof can be downloaded as needed.
  • the evaluation program or calculation program according to the present invention may be stored in a non-temporary computer-readable recording medium, or may be configured as a program product.
  • the "recording medium” includes a memory card, a USB (Universal Serial Bus) memory, an SD (Secure Digital) card, a flexible disk, a magneto-optical disk, a ROM, an EPROM (Erasable Programle Read Only Memory), and an EPROM (Epil Erasable and Programmable Read Only Memory (registered trademark), CD-ROM (Compact Disk Read Only Memory), MO (Magnet-Optical Disk), MO (Magnet-Optical Disk), DVD (Digital Digital), DVD (Digital Digital), DVD (Digital Digital) It shall include any "portable physical medium”.
  • a “program” is a data processing method described in any language or description method, regardless of the format such as source code or binary code.
  • the "program” is not necessarily limited to a single program, but is distributed as a plurality of modules or libraries, or cooperates with a separate program represented by the OS to achieve its function. Including things.
  • a well-known configuration and procedure can be used for a specific configuration and reading procedure for reading the recording medium in each device shown in the embodiment, an installation procedure after reading, and the like.
  • Various databases and the like stored in the storage unit 106 are memory devices such as RAM and ROM, fixed disk devices such as hard disks, flexible disks, and storage means such as optical disks, and are used for various processes and providing websites. Stores programs, tables, databases, files for web pages, etc.
  • the evaluation device 100 may be configured as an information processing device such as a known personal computer or workstation, or may be configured as the information processing device to which an arbitrary peripheral device is connected. Further, the evaluation device 100 may be realized by mounting software (including a program or data) that realizes the evaluation method or calculation method of the present invention on the information processing device.
  • the specific form of distribution / integration of the device is not limited to that shown in the figure, and all or part of the device is functionally or physically in any unit according to various additions or functional loads. It can be distributed and integrated. That is, the above-described embodiments may be arbitrarily combined and implemented, or the embodiments may be selectively implemented.
  • the intake of men in the T1 group is 1154.9 mg / day or more and less than 2881.2 mg / day
  • the intake of women in the T1 group is 1146.7 mg / day or more and 2436.3 mg / day. It is less than a day.
  • model 1, model 2, model 3 and model 4 created in advance analysis of variance of model 1, model 2, model 3 and model 4 created in advance was performed, and the presence or absence of a significant difference between the three groups at a significance level of 5% on both sides (in at least one of the three groups). , Whether there is a statistically significant difference) was evaluated.
  • a tendency test adjusted with the same variables as ANOVA models 1 to 4 was performed, and the presence or absence of significant differences between the three groups at a significance level of 5% on both sides (regression in the order of intake of the three groups). Whether or not a significant inclination is seen at the time of examination) was evaluated. The evaluation result is shown in FIG.
  • Model 1 for each of the 22 types of amino acids, age, gender, BMI, years of education, CES-D (The Center for Hyperemiologic Studies Depression Scale), which is a depression index, smoking history, employment status, and living alone.
  • This model is adjusted for the presence or absence of myocardial infarction, the presence or absence of hypertension, the presence or absence of hyperlipidemia, the presence or absence of ischemic heart disease, and the presence or absence of diabetes.
  • model 1 is a model composed of 14 explanatory variables, and the 14 explanatory variables are the intake group (T1, T2 or) of one of the 22 kinds of amino acids.
  • Model 2 is a model composed of 15 explanatory variables in which lipid intake is added as an explanatory variable to model 1.
  • Model 3 is a model composed of 15 explanatory variables in which energy intake is added as an explanatory variable to model 1.
  • Model 4 is a model composed of 15 explanatory variables in which protein intake is added as an explanatory variable to model 1.
  • model 1 the content of amino acids in the diet is related to cognitive function (immediate regenerative power), and from the results of models 2 to 4, the quality of amino acids in the diet is cognitive function (immediate regenerative power).
  • Model 2 is lipid intake
  • model 3 is energy intake
  • model 4 is that dietary amino acid intake is significantly associated with cognitive function under the same protein intake, ie, an example.
  • amino acids are significantly associated with cognitive function even under the same protein intake, so the proportion of amino acids that make up protein is important in the association between diet and cognitive function. It has been found.
  • the higher the intake of amino acids the higher the score of cognitive function (immediate regenerative power), suggesting that higher intake is better. It was. It was also suggested that it is useful to set a threshold value in the range of the minimum value or more and the maximum value or less, express the intake amount as a group, and categorize it as shown in FIG.
  • the logical memory I (immediate regeneration) of the WMS-R Wechsler memory test used as the cognitive function index in Example 1 is used as the logical memory II (delayed reproduction) of the WMS-R Wechsler memory test, which is one of the cognitive function indexes. Instead, the same evaluation as in Example 1 was performed. The evaluation result is shown in FIG.
  • model 1 the content of amino acids in the diet is related to cognitive function (delayed regenerative power), and from the results of models 2 to 4, the quality of amino acids in the diet is cognitive function (delayed regenerative power).
  • Model 2 is lipid intake
  • model 3 is energy intake
  • model 4 is that dietary amino acid intake is significantly associated with cognitive function under the same protein intake, ie, an example.
  • amino acids are significantly associated with cognitive function even under the same protein intake, so the proportion of amino acids that make up protein is important in the association between diet and cognitive function. It has been found.
  • the score of cognitive function (delayed regenerative power) also increased as the intake of amino acids increased, suggesting that a higher intake is better. It was. It was also suggested that it is useful to set a threshold value in the range of the minimum value or more and the maximum value or less, express the intake amount as a group, and categorize it as shown in FIG.
  • the score of the WAIS-R adult intelligence test (knowledge), which is generally used as an evaluation method of cognitive availability, was obtained for the subject during the period from July 2010 to July 2012.
  • model 1 the age, gender, BMI, years of education, and CES-D are used for the daily intake of the 22 types of amino acids and the daily amino acid score (sufficiency rate) of the 9 types of amino acids.
  • model 1 is a model composed of 10 explanatory variables, and the 10 explanatory variables are the daily intake of the 22 types of amino acids and the daily amino acid score of the 9 types.
  • Model 2 is a model composed of 11 explanatory variables in which lipid intake is added as an explanatory variable to model 1.
  • Model 3 is a model in which energy intake is added as an explanatory variable to model 1.
  • Model 4 is a model in which protein intake is added as an explanatory variable to model 1.
  • model 4 is that amino acid intake in the diet is significantly related to cognitive function under the condition that protein intake is the same, that is, considering model 4 as an example, amino acids even under the situation where protein intake is the same. Since a significant relationship with cognitive function was found in the above, it was clarified that the proportion of amino acids constituting the protein is important in the relationship between diet and cognitive function).
  • the relationship between the model using two or more kinds of amino acids selected by the stepwise method and the model using one kind of amino acid was evaluated by Akaike's Information Criterion (AIC) with Logical Memory I.
  • AIC Akaike's Information Criterion
  • Logical Memory I As for the model using one type of amino acid, the model having the smallest AIC value was adopted. The evaluation result is shown in FIG. In all of Models 1 to 4, the AIC of the model using two or more amino acids was smaller than that of the model AIC having the smallest AIC using one type of amino acid. It was shown that by using the above amino acid information, the association with logical memory I becomes greater than when using the information of one type of amino acid in the diet.
  • model using two or more kinds of amino acids selected by the stepwise method was evaluated by AIC with Logical Memory II.
  • the evaluation result is shown in FIG. Models 1 to 3 could not be compared because amino acids were not selected by the stepwise method.
  • model 4 the AIC of the model using two or more amino acids was smaller than that of the model AIC having the smallest AIC using one amino acid, so that two or more amino acids in the diet were used. It was shown that by using this information, the association with Logical Memory II is greater than when using information on one type of amino acid in the diet.
  • MMSE Mini-Mental State Examination
  • MMSE The Mini-Mental State Examination
  • Nutritional intake (specifically, 22 kinds of amino acids (Ile, Leu, Lys, Met, Cys, Phe, Tyr, Thr, Trp, Val, His, Arg, Ala, Asp, Glu, Gly, Pro, Ser, Hydroxyproline) , SAA, AAA and BCAA) Daily intake of each) was determined. Then, the daily intake of each of the 22 kinds of amino acids obtained was classified into quartiles according to gender, and four groups of T1, T2, T3, and T4 were generated in ascending order of intake.
  • the evaluation result is shown in FIG. Significant odds ratio results were obtained for Lys, Ph, Thr and Ala, indicating that daily intake of these four amino acids is associated with future cognitive decline.
  • the range of daily intakes (minimum intake value and maximum intake value) of these four amino acids in the T1 group is shown in FIG.
  • the daily intake of these four amino acids corresponds to the T1 group (in Lys, males are 4099 mg / day or less, females are 3353 mg / day or less, and in Ph, males are 3053 mg / day or less, females are 2596 mg / day or less.
  • males are 2601 mg / day or less, females are 2183 mg / day or less, and in Ala, males are 3294 mg / day or less, females are 2688 mg / day or less), which significantly increases the risk of cognitive decline in the future. From the increase, it was found that an intake higher than the maximum intake of the T1 group shown in FIG. 23 is important.
  • the standard deviation which means the variability of the data in the T1 group, was 546 mg / day for Lys, 349 mg / day for Ph, 313 mg / day for Thr, and 414 mg / day for Ala, and was observed this time.
  • the data are normally distributed around the maximum intake of the T1 group, it is considered that 95% of the data is included in the range of the maximum intake ⁇ 1.96 ⁇ standard deviation of the T1 group observed this time. Therefore, it was considered appropriate to set the threshold within the range considered as the maximum intake of the T1 group shown in FIG. 24.
  • Lys for men, 3029 mg / day or more and less than 5170 mg / day, for women, 2482 mg / day or more and less than 4423 mg / day, for Ph, for men, 2369 mg / day or more and less than 3737 mg / day, for women. , 1912 mg / day or more and less than 3280 mg / day, for Thr, 1988 mg / day or more and less than 3215 mg / day for men, 1570 mg / day or more and less than 2797 mg / day for women, and 2482 mg / day for men for Ala.
  • a threshold value in the range of 1877 mg / day or more and less than 3500 mg / day in the case of a day or more and less than 4105 mg / day, and to take more than the threshold value.
  • the data are normally distributed around the maximum intake of the T1 group observed this time, it is considered that 68% of the data is included in the range of the maximum intake ⁇ standard deviation of the T1 group observed this time. Therefore, it was considered appropriate to set the threshold within the range considered as the maximum intake of the T1 group shown in FIG. 25.
  • Lys for men, 3553 mg / day or more and less than 4645 mg / day, for women, 2807 mg / day or more and less than 3899 mg / day, for Ph, 2704 mg / day or more and less than 3402 mg / day for women, and for women. , 2247 mg / day or more and less than 2945 mg / day, for Thr, 2288 mg / day or more and less than 2914 mg / day for men, 1870 mg / day or more and less than 2946 mg / day for women, and 2880 mg / day for men for Ala. It is considered desirable to set a threshold value in the range of 2274 mg / day or more and less than 3102 mg / day in the case of women, and to ingest more than the threshold value.
  • the body weight was 39 kg or more and 75 kg.
  • the amino acid requirements in the following range were calculated.
  • the calculation result is shown in FIG. Since there is a possibility of comprehensive nutritional guidance including nutrients other than amino acids in the field of nutritional guidance, change the lower limit value shown in FIG. 24 to the value shown in FIG. 26 for Lys and Thr. Is also considered possible.
  • Lys from FIG. 24, in the case of men, it was considered desirable to set the threshold value in the range of 3029 mg / day or more and less than 5170 mg / day, but in view of the situation of nutritional guidance, the information in FIG. 26 is also available.
  • the threshold value by the combination of the values in FIGS. 24, 25 and 26, such as the range of 1170, 1719 or 2250 mg / day or more and 4099 or less than 5170 mg / day.
  • Ph there is no description as a single amino acid in the "Japanese Dietary Intake Standards (2015 Edition)", and the required amount of AAA (aromatic amino acid) including Ph is described. Therefore, with respect to Ph, if the AAA value 975, 1433 or 1875 mg / day shown in FIG. 26 is ingested, at least the required amount of Ph is satisfied, so that this AAA value is substituted as the lower limit value of Ph. It is also considered possible to set the threshold value by the combination of the values in FIGS.
  • the amino acid score in this example means the protein digestibility-corrected amino acid score (PDCAAS).
  • the three explanatory variables of the quartile group include a value meaning that the score corresponds to the T1 group, a value meaning that the score corresponds to the T2 group, and a value meaning that the score corresponds to the T3 group.
  • a value or a value meaning that the score corresponds to the T4 group is set.
  • Model 2 with daily lipid intake added to the explanatory variables for model 1 model 3 with daily energy intake added to the explanatory variables for model 1, and model 1 with daily protein intake added to the explanatory variables
  • FIGS. 29 and 30 A covariance analysis was also performed on Model 4. The evaluation results are shown in FIGS. 29 and 30. From FIG. 29, a significant result was obtained in the amino acid score of lunch, and it was found from FIG. 30 that the higher the amino acid score of lunch, the higher the score of Logical Memory II.
  • the standard deviation which means data variation
  • the standard deviation is 13.8 in the case of "T1 group and T2 group” in the comparison of (2), and 15.4 in the case of "T1 group to T3 group” in the comparison of (3). Therefore, considering the case where the data is normally distributed around the quantile observed this time, 95% of the data is included in the range of the quantile ⁇ 1.96 ⁇ standard deviation observed this time. Therefore, it was considered appropriate to set the threshold within the range of the amino acid score shown in FIG. 33. Based on the comparison result of (2), the threshold value of the amino acid score of men's lunch is in the range of 58.7 (59) or more and 100 or less, and the threshold value of the amino acid score of women's lunch is 59.9 (60) or more and 100 or less.
  • the threshold value of the amino acid score of men's lunch is in the range of 66.1 (66) or more and 100 or less, and the threshold value of the amino acid score of women's lunch is 66.2 (66). It is considered desirable to set the range to 100 or less and to ingest more than the threshold value. Considering the case where the data is normally distributed around the quantile observed this time, it is considered that 68% of the data is included in the range of the quantile ⁇ standard deviation observed this time. It was considered appropriate to set the threshold within the range of the indicated amino acid scores.
  • the threshold value of the amino acid score of men's lunch is in the range of 71.9 (72) or more and 99.5 (100) or less, and the threshold value of the amino acid score of women's lunch is 73.1 ( 73) In the range of 100 or more and 100 or less, based on the comparison result of (3), the threshold of the amino acid score of men's lunch is in the range of 80.9 or more and 100 or less, and the threshold of the amino acid score of women's lunch is 81.0 ( 81) It is considered desirable to set the range to 100 or more and to take more than the threshold value.
  • the amino acid score in this example means the protein digestibility-corrected amino acid score (PDCAAS).
  • the objective variable is binary data with a value meaning "high”, binary data on whether the amino acid score of breakfast corresponds to the T1 group, and binary data on whether the amino acid score of lunch corresponds to the T1 group.
  • daily protein intake added to the explanatory variable for model 1 A logistic regression was also performed on Model 4, and the relationship between the amino acid scores of breakfast, lunch, and dinner and the re-executed MMSE was examined. The evaluation result is shown in FIG. A significant odds ratio was obtained in the binary data on whether the amino acid score of breakfast corresponds to the T1 group, indicating that the amino acid score of breakfast is associated with future cognitive decline. .. In addition, the range of breakfast amino acid scores (minimum score and maximum score) in the T1 group is shown in FIG.
  • the standard deviation which means the variability of the data, was 12.0 in the breakfast amino acid score. Therefore, considering the case where the data are normally distributed around the quantiles observed this time, the quantiles observed this time. Since it is considered that 95% of the data is included in the range of ⁇ 1.96 ⁇ standard deviation, it was considered appropriate to set the threshold within the range of the amino acid score shown in FIG. 37. For the amino acid score of men's breakfast, set a threshold in the range of 66.8 (67) or more and 100 or less, and in the case of the amino acid score of women's breakfast, set the threshold in the range of 65.4 (66) or more and 100 or less. It is considered desirable to take a large amount.
  • the threshold within the range of the amino acid score shown in. For the amino acid score of men's breakfast, set a threshold in the range of 78.3 (78) or more and 100 or less, and in the case of the amino acid score of women's breakfast, set the threshold in the range of 76.9 (77) or more and 100 or less, and use the threshold. It is considered desirable to take a large amount.
  • the present invention can be widely implemented in many industrial fields, especially in fields such as pharmaceuticals, foods, and medical treatments, and is extremely useful.
  • Evaluation device including calculation device
  • Control unit 102a Acquisition unit 102b Designation unit 102c Expression creation unit 102d Evaluation unit 102d1 Calculation unit 102d2 Conversion unit 102d3 Generation unit 102d4 Classification unit 102e Result output unit 102f Transmission unit 104 Communication interface unit 106 Storage unit 106a Amino acid-related data file 106b Index status Information file 106c Designated index status information file 106d Expression related information database 106d1 Expression file 106e Evaluation result file 108 Input / output interface unit 112 Input device 114 Output device 200 Client device (terminal device (information communication terminal device)) 300 network 400 POS system 500 database device

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