JP4785294B2 - Health information display device - Google Patents

Description

【００３５】
なお、前述の不特定多数の集団による調査分析において、健康度は個人が、高血圧症、高脂血症、心臓疾患、肝臓疾患、糖尿病、腎臓疾患および高尿酸血症等の成人病のいずれかの治療を受けているか、または定期検診時の血圧、血液、尿検査および心電図等に関する異常分析に基づいて、発症していると診断されていることを確認して、疾病の発現率等を求め、さらにその疾病の発現率に基づき決定（例えば発現率の逆数の平均を５０とした指数で表現する）している。
【００３６】
この場合、年齢、肥満度（ＢＭＩ）および各種生活習慣（ライフスタイル）の各アイテムの健康度への影響度はアイテム毎の前記カテゴリー・ウエイトで表現される。
例えば、表１の例では、その演算式として（４）式が知られている。
健康度＝Ａ_１＋ａ_１ｎ＋ａ_２ｎ＋ａ_３ｎ＋ａ_４ｎ＋ａ_５ｎ＋ａ_６ｎ・・・（４）
ここで、
Ａ_１：定数、
ａ_１ｎ：年齢に対応するカテゴリー・ウエイト（ａ_１１、ａ_１２、ａ_１３、ａ_１４から選択）
ａ_２ｎ：肥満度（ＢＭＩ）に対応するカテゴリー・ウエイト（ａ_２１、ａ_２２、ａ_２３から選択）
ａ_３ｎ：飲酒に対応するカテゴリー・ウエイト（ａ_３１、ａ_３２、ａ_３３から選択）
ａ_４ｎ：喫煙に対応するカテゴリー・ウエイト（ａ_４１、ａ_４２、ａ_４３から選択）
ａ_５ｎ：運動に対応するカテゴリー・ウエイト（ａ_５１、ａ_５２、ａ_５３から選択）
ａ_６ｎ：栄養バランスに対応するカテゴリー・ウエイト（ａ_６１、ａ_６２から選択）
【００３７】
そこで、本実施形態の健康情報表示装置１においては、演算式としては、まず、前記（４）式を使用して被検者の健康度を求め、表示するようにしている。健康度を求めるに際しては、まず前述のように入力され、記憶された個人特定情報のうち、年齢に関して、そのアイテムに対応する複数のカテゴリー、例えば▲１▼〜２９歳、▲２▼３０〜３９歳、▲３▼４０〜４９歳、▲４▼５０歳〜のいずれかに分類され、記憶される。また、前記の演算によって求められた肥満に関する一つの指標であるＢＭＩに関しても、そのアイテムに対応する複数のカテゴリー、例えば▲１▼やせ（〜１９）、▲２▼標準（２０〜２４）、▲３▼肥満（２５〜）のいずれかに分類され、記憶される。これらの各カテゴリーの決定は、予め設定入力され記憶された複数の基準値と比較することで自動的に処理される。
【００３８】
Ｓ７：続いて、飲酒、喫煙、運動、栄養バランスに関するアイテムに対応してそれぞれのカテゴリーから、例えば問診回答形式で被検者が該当するものを選択して入力する。ここで、前記ライフスタイルのアイテムおよびカテゴリーの選択、入力方法は、まず個人データ設定モードスイッチ８をＯＮして、各アイテムを選択する。続いてインクリメント／ディクリメントキー９によりアイテム毎のカテゴリーを選択入力する。この場合、例えば飲酒のアイテムに対応するカテゴリーは、▲１▼飲まない、▲２▼時々飲む、▲３▼ほぼ毎日飲むのいずれかとし、喫煙のアイテムに対応するカテゴリーは、▲１▼吸わない／やめた、▲２▼吸うのいずれかとし、運動のアイテムに対応するカテゴリーは、▲１▼週２回以上、▲２▼週１回以下のいずれかとし、栄養バランスのアイテムに対応するカテゴリーは、▲１▼考えている、▲２▼考えていないのいずれかとし、これらはいずれも予め記憶部１２に設定記憶されている。
【００３９】
Ｓ８〜Ｓ９：前述のようにして選択または決定して記憶された各アイテムに対応するカテゴリー・ウエイトを予め記憶したテーブルから読み出し、前記アイテムと関連させて記憶する。この場合、前記アイテム毎のカテゴリーの選択時に、相当するカテゴリー・ウエイトを記憶テーブルから読み出し、記憶するようにしても良い。続いて、前記カテゴリー・ウエイトに基づいて（４）式の演算を行い、結果を表示することができる。
【００４０】
以上の例では、演算式に（４）式を用いて、健康度を求める演算式のアイテムを年齢、肥満度（ＢＭＩ）および各種生活習慣（ライフスタイル）の各アイテムとしたが、さらに本実施形態の健康情報表示装置１では、肥満度（ＢＭＩ）に替えて、本装置により求められ健康指標としてより成人病との相関が高いと考えられている体脂肪率（ＦＡＴ）または腹部内臓脂肪横断面積（ＶＦＡ）をアイテムに含めるようにしても良い。これによって、被検者の健康状態をより正確に健康度に反映させることができる。以下にその演算式（５）式および（６）式を示す。
健康度＝Ａ_２＋ａ_１ｎ＋ａ_７ｎ＋ａ_３ｎ＋ａ_４ｎ＋ａ_５ｎ＋ａ_６ｎ・・・（５）
ここで、
Ａ_２：定数、
ａ_１ｎ：年齢に対応するカテゴリー・ウエイト（ａ_１１、ａ_１２、ａ_１３、ａ_１４から選択）
ａ_７ｎ：体脂肪率（ＦＡＴ）に対応するカテゴリー・ウエイト（ａ_７１、ａ_７２、ａ_７３から選択）
ａ_３ｎ：飲酒に対応するカテゴリー・ウエイト（ａ_３１、ａ_３２、ａ_３３から選択）
ａ_４ｎ：喫煙に対応するカテゴリー・ウエイト（ａ_４１、ａ_４２、ａ_４３から選択）
ａ_５ｎ：運動に対応するカテゴリー・ウエイト（ａ_５１、ａ_５２、ａ_５３から選択）
ａ_６ｎ：栄養バランスに対応するカテゴリー・ウエイト（ａ_６１、ａ_６２から選択）
【００４１】
健康度＝Ａ_３＋ａ_１ｎ＋ａ_８ｎ＋ａ_３ｎ＋ａ_４ｎ＋ａ_５ｎ＋ａ_６ｎ・・・（６）
ここで、
Ａ_３：定数、
ａ_１ｎ：年齢に対応するカテゴリー・ウエイト（ａ_１１、ａ_１２、ａ_１３、ａ_１４から選択）
ａ_８ｎ：腹部内臓脂肪横断面積（ＶＦＡ）に対応するカテゴリー・ウエイト（ａ_８１、ａ_８２、ａ_８３から選択）
ａ_３ｎ：飲酒に対応するカテゴリー・ウエイト（ａ_３１、ａ_３２、ａ_３３から選択）
ａ_４ｎ：喫煙に対応するカテゴリー・ウエイト（ａ_４１、ａ_４２、ａ_４３から選択）
ａ_５ｎ：運動に対応するカテゴリー・ウエイト（ａ_５１、ａ_５２、ａ_５３から選択）
ａ_６ｎ：栄養バランスに対応するカテゴリー・ウエイト（ａ_６１、ａ_６２から選択）
【００４２】
また、前記演算式（５）式および（６）式を使用する場合、本健康情報表示装置１の体脂肪計および内臓脂肪計の機能によって求められた体脂肪率（ＦＡＴ）または腹部内臓脂肪横断面積（ＶＦＡ）のアイテムについては、そのアイテムに対応する複数のカテゴリー、例えば体脂肪率（ＦＡＴ）は男性の場合、▲１▼やせ（〜１０％）、▲２▼標準（１０〜２０％）、▲３▼肥満（２０％〜）のいずれかに分類され、女性の場合、▲１▼やせ（〜２０％）、▲２▼標準（２０〜３０％）、▲３▼肥満（３０％〜）のいずれかに分類され、さらに腹部内臓脂肪横断面積（ＶＦＡ）は、▲１▼少ない（〜４０ｃｍ^２）、▲２▼標準（４０〜１００ｃｍ^２）、▲３▼肥満（１００ｃｍ^２〜）のいずれかに分類され記憶される。これらの各カテゴリーの決定は、予め設定入力され記憶された複数の基準値と比較することで自動的に処理される。
【００４３】
さらに、生活習慣（ライフスタイル）のアイテムについても、塩分摂取状況、緑黄色野菜・果物摂取状況、ストレス、睡眠時間等他のアイテムを追加するようにしても良い。これによって、より多くのアイテムを反映させることができ、正確な健康度を求めることができる。
【００４４】
Ｓ１０：続いて、本実施形態の健康情報表示装置１においては、個人の健康年齢を推定演算できるようになっている。即ち、不特定多数の母集団を対象にして得られたデータを基に、良く知られた統計的解析方法の一つである回帰分析を用いて年齢と健康度との相関を求め、この相関に基づいて健康度から健康年齢を推定演算し、表示するようにされている。この場合、健康度は、例えば前記（４）式、（５）式または（６）式を用いて演算された結果に基づいている。
この健康年齢の演算式としては、例えば（７）式が考えられる。
ＡＧ＝−ｋ×ＨＤ＋ｊ ・・・（７）
ここで、ＡＧ：健康年齢、ＨＤ：健康度、ｋ：係数、ｊ：定数
【００４５】
Ｓ１１：こうして求められたＢＭＩ、体脂肪率、腹部内臓脂肪横断面積、健康度および健康年齢は表示部５に表示される。
【００４６】
本実施形態においては、卓上型の健康情報表示装置について説明したが、この健康情報表示装置を体重計に付設して床置型とすることもできる。
【図面の簡単な説明】
【図１】図１は、本発明の一実施形態に係る健康情報表示装置の正面図（ａ）および側面図（ｂ）である。
【図２】図２は、本実施形態の健康情報表示装置のシステム構成図である。
【図３】図３は、本実施形態の健康情報表示装置の健康度／健康年齢表示フローを示すフローチャートである。
【符号の説明】
１ 健康情報表示装置
２ 本体
３ａ，３ｂ，３ｃ，３ｄ 電極
４ 生体インピーダンス測定回路
５ 表示部（表示手段）
６ 電源スイッチ
７ 腹部内臓脂肪横断面積測定開始スイッチ
８ 個人データ設定モードスイッチ
９ インクリメント／ディクリメントキー
１０ Ｉ／Ｏ回路
１１ 中央処理部（演算手段）
１２ 記憶部（記憶手段）[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a health information display device that displays health information of a subject.
[0002]
[Prior art]
Various devices have been proposed for comprehensively managing health by determining and diagnosing the physical strength or health status of a subject based on personal identification information and various biological information obtained by measurement and examination. Yes.
[0003]
For example, in Japanese Patent Laid-Open No. 6-142058, the results of measurement are slightly specialized medical audit results and the health measurement results that can be directly seen and understood by the subject, and are put together on one page. A physical strength measurement result output table and a physical strength diagnosis result output method capable of providing a health measurement result table and a medical examination result table that are very easy to see are disclosed. Japanese Patent Application Laid-Open No. 11-318830 conducts a questionnaire for a person to be measured At the same time, it measures biological information such as blood pressure and pulse rate of the person being measured, and comprehensively determines the person's health based on the questionnaire results and the measurement results of the biological information. The health level measuring device and the health level measuring method that can inform the health level are disclosed. Further, Japanese Patent Laid-Open No. 2000-271090 discloses a user's inquiry answer to an inquiry item presented based on the user's health data by comparing the user's vital data with its appropriate range. Has disclosed a health management system that estimates factors that have changed the degree of health.
[0004]
Each of these conventional technologies is intended to maintain health and physical fitness, and is based on personal identification data, biological information measurement data, physical fitness measurement data, and medical examination data relating to blood pressure, blood, electrocardiogram, urine, etc. Thus, for example, the degree of health is obtained by comparing with a standard value. Further, based on the measurement and the test result, the subject is inquired about preset items, and the cause of changes in physical fitness age and health level is estimated. As described above, in each of the conventional techniques, the biological information or physical strength information of the subject is compared with the appropriate range, the health condition or physical strength is determined, and a guide is issued.
[0005]
[Problems to be solved by the invention]
However, in the conventional health management device, for each information type, a comprehensive diagnosis is simply made based on the result determined by comparison with the standard value, and the degree of health or physical fitness age is statistically calculated with various information. Since it is not uniquely determined based on the correlation, it is difficult to say that it is determined accurately. In addition, because the factors of lifestyle (lifestyle) considered to be an essential factor in the determination and diagnosis of the health level or physical fitness age are not sufficiently considered, it is not necessarily comprehensively determined and diagnosed Absent.
[0006]
The present invention has been made to solve such problems, and provides a health information display device capable of easily obtaining an accurate health level and health age based on lifestyle habits and health indicators at home. It is intended to do.
[0007]
[Means for solving the problems and actions / effects]
In recent years, so-called adult diseases such as hypertension, hyperlipidemia, heart disease, diabetes, kidney disease and hyperuricemia that develop due to lifestyle habits, and the problem of obesity combined with these diseases are regarded as important, Research in related fields including medicine is ongoing. In addition, regarding the onset of such diseases, it is reported that individual lifestyle, genetic factors, and aging are the main factors, based on cross-sectional inspections and follow-up surveys by groups. ing. In any case, it has been clarified that the quality of an individual's lifestyle is a major factor in the onset.
[0008]
Therefore, in the present invention, based on the survey analysis by an unspecified large number of groups, the individual's health level is determined from the individual's lifestyle (lifestyle) factors, various health indicators such as obesity level, and various personal identification data such as age. The estimated calculation formula to be obtained is used. In this case, the estimation formula is analyzed for each item of the lifestyle factors, health indicators, and individual identification data using a quantity analysis method of statistical analysis, and each category weight is determined and quantified. It is required by that. Subsequently, similarly, a correlation between the age and the health level is obtained based on a survey analysis by a large number of unspecified groups, and the health age is estimated from the health level based on this correlation and displayed. In addition, based on the survey analysis by the unspecified large number of populations, the health level is confirmed by confirming that the individual is receiving treatment for adult diseases or has been diagnosed as having developed, The disease incidence rate and the like are obtained, and further determined based on the disease incidence rate.
[0009]
  In short, the health information display device according to the present invention firstly achieves the above-described object,
  Input means for inputting personal identification information of height, weight, age, and sex, storage means for storing personal identification information input from the input means, and bioimpedance measurement means for measuring the bioimpedance of the body of the subject And based on the personal identification information stored in the storage means and the bioimpedance measured by the bioimpedance measurement meansHealth indexA calculation means for calculating the body fat percentage to calculate the health level of the subject, and a display means for displaying the personal identification information and the health level,
  The computing means is the personal identification information based on a survey analysis by an unspecified large number of groups.Age, Health indicatorsBody fat percentage as well asLifestyle factorsOf drinking, smoking, exercise and nutritional balanceAnalyze each item, determine the category weight of each item, and quantify the health of the subject by quantifying,
  SaidThe health index of the subjectA plurality of categories corresponding to items of body fat percentage are classified and memorized as male (10%), standard (10-20%) or obese (20%) for men, and for women , Thin (~ 20%), standard (20-30%), and obesity (30% ~) are classified and stored, and the determination of each of these categories is based on a plurality of reference values that are set and stored in advance. Done automatically by comparing
It is characterized by this.
[0010]
  In addition, the health information display device according to the present invention secondly,
  Input means for inputting personal identification information of height, weight, age, sex, and abdominal circumference, storage means for storing personal identification information input from the input means, and bioimpedance of the body of the subject Based on the bioimpedance measurement means, the personal identification information stored in the storage means, and the bioimpedance measured by the bioimpedance measurement meansHealth indexA calculation means for calculating the health level of the subject by calculating the abdominal visceral fat cross-sectional area, and the display means for displaying the personal identification information and the health level,
  The computing means is the personal identification information based on a survey analysis by an unspecified large number of groups.Age, Health indicatorsAbdominal visceral fat cross-sectional area as well asLifestyle factorsOf drinking, smoking, exercise and nutritional balanceAnalyze each item, determine the category weight of each item, and quantify the health of the subject by quantifying,
  SaidThe health index of the subjectThere are few categories (~ 40cm) corresponding to items of abdominal visceral fat cross-sectional area²), Standard (40-100cm)²), Obesity (100cm²~) Is classified and stored, and the determination of each category is automatically performed by comparing with a plurality of reference values set and input in advance.
It is characterized by this.
[0011]
  EachAccording to the invention, the height, weight, age, gender of the subjectetcPersonally identifiable informationAnd bioimpedance measured by bioimpedance measuring meansBased on subject'sBody fat percentage or abdominal visceral fat cross-sectional area of the subjectIs calculated,Subject's health levelIs calculated, and the calculation result is displayed on the display means, so that accurate health information (health level and health age) based on lifestyle and health indicators can be easily obtained at home, and the obtained health information Can be used for the health management of the subject.In addition, an accurate health level can be easily obtained by effectively selecting a category corresponding to the item of the health index used when obtaining the health level.
[0015]
  EachIn the invention,Based on the survey analysis by an unspecified large number of groups, the correlation between the age and the health level is obtained, and the health age is estimated and calculated from the health level obtained by the calculation means based on the correlation,Display on the display meansDoIs preferred.ThisBy obtaining the health age based on the health degree obtained as described above, there is an effect that an accurate health degree and health age based on lifestyle habits and health indices can be easily obtained at home.
[0017]
DETAILED DESCRIPTION OF THE INVENTION
Next, specific embodiments of the health information display device according to the present invention will be described with reference to the drawings.
[0018]
FIG. 1 shows a front view (a) and a side view (b) of a health information display device according to an embodiment of the present invention. FIG. 2 shows a system configuration diagram of the health information display apparatus of the present embodiment.
[0019]
The health information display device 1 of the present embodiment is capable of measuring the bioelectrical impedance of the subject, and inputs personal identification data such as the subject's height, weight, age, gender, etc., and these input data The body fat percentage can be obtained and displayed based on the measured value of the bioimpedance. In addition, based on the stored personal data, the subject's BMI (weight ÷ height²) Is calculated and the abdominal viscera based on the data including the waist size (abdominal circumference) in the subject's personal data and the bioimpedance, or the data including the waist size in the personal data and the body fat percentage, etc. A fat cross-sectional area estimation calculation is performed and can be displayed together with the BMI. As described above, the health information display device 1 has recently been widely used, particularly for obtaining and displaying a health index related to obesity, and a body fat scale and a visceral fat scale that are easily used as a health management device at home. It has the function of. Hereinafter, a specific configuration of the health information display device 1 will be described.
[0020]
The health information display device 1 of the present embodiment includes a table-type main body 2, and electrodes 3 a and 3 c are provided on the upper left and right ends on the front side of the main body 2, and the electrodes 3 a on the back side of the main body 2 are provided. The electrode 3b is disposed substantially at the back position, and the electrode 3d is disposed at the substantially back position of the electrode 3c. These electrodes 3a, 3b, 3c and 3d are for measuring bioimpedance inside the human body using both hands which are the ends of the human body, and are one of measuring means for measuring bioimpedance which is biometric information. Part. Here, the electrodes 3a, 3b, 3c, and 3d are a pair of current application electrodes for forming a current path by conducting a current inside the human body, and measuring a potential difference between two points in the current path. Therefore, it can be used as a pair of voltage measuring electrodes.
[0021]
The electrodes 3a, 3b, 3c, and 3d are connected to a bioimpedance measuring circuit (bioimpedance measuring means) 4 provided inside the health information display device 1, and the human body is connected via these electrodes 3a, 3b, 3c, and 3d. The bioimpedance can be measured. The bioimpedance measuring circuit 4 includes an impedance measuring hand throw having a current supply source, an electrometer, and the like, and has a well-known structure in measuring body fat. When measuring the bioimpedance of the human body using the bioimpedance measuring circuit 4, two left fingers of the subject are brought into contact with the leftmost electrodes 3a and 3b, respectively, and the rightmost electrodes 3c and 3d are examined. The bioelectrical impedance between the left hand and the right hand is measured by bringing two fingers of the person's right hand into contact with each other.
[0022]
A display section (display means) 5 for displaying calculation results and the like is provided at the center of the surface of the main body 2, and a power switch 6, an abdominal visceral fat cross-sectional area measurement start switch 7, A personal data setting mode switch 8 and an increment / decrement key 9 are provided, and the personal identification data of the subject input using these input keys / switches (input means) 6 to 9 and the measured bioelectrical impedance. Based on the calculated body fat percentage and abdominal visceral fat cross-sectional area, the result is displayed on the display unit 5.
[0023]
The bioelectrical impedance measurement circuit 4, the input keys / switches 6 to 9, and the display unit 5 are connected to a central processing unit (calculation unit) 11 and a storage unit (storage unit) 12 via an I / O circuit 10, and timekeeping is performed. Connected to means 13. The display unit 5 can display items such as abdominal visceral fat cross-sectional area, BMI, body fat percentage, lifestyle, category, health level, and healthy age.
[0024]
Next, the operation of the health information display apparatus 1 having the above configuration will be described based on the flowchart shown in FIG. In this flow, S indicates a step.
[0025]
S1 to S2: When measuring the abdominal visceral fat cross-sectional area, first, necessary data is input before the measurement. First, the power switch 6 is turned on, then the personal data input setting mode switch 8 is turned on, and then the personal data input setting mode switch 8 is operated in sequence, whereby the personal data items (height, weight, Age, sex, waist size, etc.) are selected, and in this state, data is selected and input using the increment / decrement key 9. The data input in this way is stored in the storage unit 12 via the I / O circuit 10. It should be noted that the target values relating to the subject's BMI, body fat percentage, and abdominal visceral fat cross-sectional area can be set and input by the increment / decrement key 9.
[0026]
S3 to S4: Next, the abdominal visceral fat cross-sectional area measurement start switch 7 is turned ON to start measurement of the abdominal visceral fat cross-sectional area, and then the fingers of both hands are brought into contact with the electrodes 3a to 3d, The bioimpedance between them is measured, and this measurement data is stored.
[0027]
S5: The BMI is calculated in the central processing unit 11 based on the personal data (height and weight) of the subject stored in advance, and the result is stored, read out if necessary, and displayed on the display unit 5. . Further, based on the personal data (height, weight, age, sex, etc.) previously stored and the measured bioelectrical impedance, the central processing unit 11 calculates the body fat percentage by a known calculation method, and the result Is read out as necessary and displayed on the display unit 5. Further, based on the data including the waist size (abdominal circumference) in the personal data of the subject and the bioelectrical impedance, or the personal data and the body fat percentage, the central processing unit 11 calculates the abdominal visceral fat cross-sectional area (VFA). An estimation calculation is performed, and the obtained abdominal visceral fat cross-sectional area is similarly stored as data in the storage unit 12, read out as necessary, and displayed on the display unit 5. At this time, the arithmetic expressions used for the respective calculations are stored in the storage unit 12 in advance, and are called by the central processing unit 11 to be used for the calculation process when executing the calculations. In this case, based on the theory that there is a high correlation between personal examination data such as waist size (abdominal circumference) and the abdominal visceral fat cross-sectional area measured by C / T measurement, from the subject's waist size (abdominal circumference) etc. The abdominal visceral fat cross-sectional area of a subject can be easily obtained.
[0028]
Here, for the formula for estimating the abdominal visceral fat cross-sectional area (VFA) in the above calculation formula, it is assumed that a bioimpedance or a body fat percentage (FAT) is further added as a correction term to the variable term of the waist size, The estimation accuracy is improved by increasing the correlation with the data of the abdominal visceral fat cross-sectional area by C / T measurement. For example, the regression equation (1) is used as the one in which the bioelectrical impedance is added as a correction term.
VFA (abdominal visceral fat cross-sectional area) = a₁× W_L+ B₁× Z + d₁... (1)
Where W_L: Waist size (abdominal circumference), Z: Bioimpedance, a₁, B₁: Regression coefficient, d₁:constant
In this case, the coefficients and constants of Equation (1) are calculated by statistical methods such as regression analysis based on the correlation between waist size and biological impedance of a large number of unspecified populations and abdominal cross-sectional C / T data. It is determined.
[0029]
Further, for example, the regression equation (2) is used as the body fat percentage added as a variable term.
VFA (abdominal visceral fat cross-sectional area) = a₂× W_L+ C₁× FAT + d₂... (2)
Where W_L: Waist size (waist circumference), FAT: body fat percentage, a₂, C₁: Regression coefficient, d₂:constant
Also in this equation (2), the regression coefficient and the constant are statistical methods such as regression analysis based on the correlation between the waist size and body fat percentage of an unspecified large number of groups and the measurement data by the abdominal cross section C / T. Determined by.
[0030]
In the present embodiment, as a method for obtaining the abdominal visceral fat cross-sectional area of the subject by estimation, personal data (height, weight, age, sex, waist size, etc.) of the subject is input, and these data However, the waist size may be obtained by estimation from personal data (height, weight, age, sex, etc.) without inputting the waist size. For example, equation (3) is considered as an estimation equation for the waist size.
W_L= M₁× W / H_L ²+ N₁× Age + l₁.... (3)
Where W_L: Waist size (waist circumference), W: Weight, H_L: Height, Age: Age, m₁, N₁: Regression coefficient, l₁:constant
[0031]
In addition, based on the waist size obtained by the calculation according to the equation (3) and the personal data (height, weight, age, sex, etc.) of the subject, the subject is calculated according to the calculation formula used in the present embodiment. The abdominal visceral fat cross-sectional area can be estimated. In this case, the labor of measuring and inputting the waist size can be saved, and the visceral fat mass can be obtained more easily.
[0032]
Each data of the subject's BMI, body fat percentage, and abdominal visceral fat cross-sectional area is stored together with the measurement date, and a plurality of data can be displayed simultaneously as the previous measurement value and the current measurement value. . Further, instead of displaying the previous measurement value, the target value set and input can be displayed.
[0033]
S6: In the health information display device 1 of the present embodiment, in addition to the functions described above, the individual's health level is obtained from various health indicators such as personal lifestyle (lifestyle) factors, obesity level, and various personal identification data such as age. Can be estimated. The arithmetic expression can be obtained by using a quantification theory class I which is one of well-known statistical analysis methods (multivariate analysis methods). That is, the estimation calculation formula analyzes the lifestyle factors, health indicators, and personal identification data for each item based on a survey analysis by an unspecified large number of populations, and further determines the category weight of each item. And it is calculated by quantifying.
[0034]
Here, Table 1 shows an example of the survey form of the unspecified large number of populations. The survey was conducted on N people, and categories were set for each item of age, obesity level (BMI), drinking status, smoking status, exercise status, and nutritional balance, and the results of selecting one of the categories were entered. Has been. At the same time, the health level of the survey subjects is also entered. Further, based on the category and health level of each item, the respective categories are quantified using a statistical analysis method, and are entered as category weights.
[Table 1]

[0035]
In the above-mentioned survey analysis by a large number of unspecified populations, the health level is one of adult diseases such as hypertension, hyperlipidemia, heart disease, liver disease, diabetes, kidney disease and hyperuricemia. Confirm that the patient has been diagnosed as having an onset based on abnormal analysis of blood pressure, blood, urinalysis, electrocardiogram, etc. Furthermore, it is determined based on the incidence of the disease (for example, expressed as an index with the average of the reciprocal of the incidence being 50).
[0036]
In this case, the degree of influence of each item on the health level of the age, the degree of obesity (BMI), and various lifestyles (lifestyles) is expressed by the category weight for each item.
For example, in the example of Table 1, Expression (4) is known as the arithmetic expression.
Health = A₁+ A_1n+ A_2n+ A_3n+ A_4n+ A_5n+ A_6n... (4)
here,
A₁:constant,
a_1n: Category weight corresponding to age (a₁₁, A₁₂, A₁₃, A₁₄Select from)
a_2n: Category weight corresponding to obesity (BMI) (a₂₁, A₂₂, A₂₃Select from)
a_3n: Category weight corresponding to drinking (a₃₁, A₃₂, A₃₃Select from)
a_4n: Category weights corresponding to smoking (a₄₁, A₄₂, A₄₃Select from)
a_5n: Category weight corresponding to exercise (a₅₁, A₅₂, A₅₃Select from)
a_6n: Category weight corresponding to nutritional balance (a₆₁, A₆₂Select from)
[0037]
Therefore, in the health information display device 1 of the present embodiment, as the arithmetic expression, first, the degree of health of the subject is obtained and displayed using the expression (4). When obtaining the health level, first, as described above, among the personal identification information stored and stored, with regard to age, a plurality of categories corresponding to the item, for example, (1) to 29 years old, (2) 30 to 39 Age, (3) 40-49 years old, (4) 50-year-old and stored. In addition, regarding BMI, which is one index related to obesity obtained by the above-described calculation, a plurality of categories corresponding to the item, for example, (1) thin (~ 19), (2) standard (20-24), ▲ 3) Obesity (25 to 25) is classified and stored. The determination of each of these categories is automatically processed by comparing with a plurality of reference values set and input in advance.
[0038]
S7: Subsequently, corresponding to the items related to drinking, smoking, exercise, and nutritional balance, for example, the subject corresponding to the question answering format is selected and input from each category. Here, as the method for selecting and inputting the items and categories of the lifestyle, first, the individual data setting mode switch 8 is turned on to select each item. Subsequently, the increment / decrement key 9 is used to select and input a category for each item. In this case, for example, the category corresponding to the drinking item is (1) Do not drink, (2) Drink occasionally, or (3) Drink almost everyday, and the category corresponding to the smoking item does not smoke (1) / Stopped, (2) Suck, and categories corresponding to exercise items should be (1) more than twice a week, or (2) less than once a week, categories corresponding to nutritional balance items , (1) considered, or (2) not considered, and these are all set and stored in the storage unit 12 in advance.
[0039]
S8 to S9: The category weight corresponding to each item selected or determined and stored as described above is read from the pre-stored table and stored in association with the item. In this case, when selecting a category for each item, the corresponding category weight may be read from the storage table and stored. Subsequently, the calculation of equation (4) is performed based on the category weight, and the result can be displayed.
[0040]
In the above example, using the formula (4) as the calculation formula, the items of the calculation formula for obtaining the health level are the items of age, obesity level (BMI), and various lifestyles (lifestyles). In the form of health information display device 1, instead of obesity (BMI), body fat percentage (FAT) or abdominal visceral fat crossing, which is obtained by this device and is considered to have a higher correlation with adult disease as a health index The area (VFA) may be included in the item. As a result, the health condition of the subject can be more accurately reflected in the health level. The arithmetic expressions (5) and (6) are shown below.
Health = A₂+ A_1n+ A_7n+ A_3n+ A_4n+ A_5n+ A_6n... (5)
here,
A₂:constant,
a_1n: Category weight corresponding to age (a₁₁, A₁₂, A₁₃, A₁₄Select from)
a_7n: Category weight corresponding to body fat percentage (FAT) (a₇₁, A₇₂, A₇₃Select from)
a_3n: Category weight corresponding to drinking (a₃₁, A₃₂, A₃₃Select from)
a_4n: Category weights corresponding to smoking (a₄₁, A₄₂, A₄₃Select from)
a_5n: Category weight corresponding to exercise (a₅₁, A₅₂, A₅₃Select from)
a_6n: Category weight corresponding to nutritional balance (a₆₁, A₆₂Select from)
[0041]
Health = A₃+ A_1n+ A_8n+ A_3n+ A_4n+ A_5n+ A_6n... (6)
here,
A₃:constant,
a_1n: Category weight corresponding to age (a₁₁, A₁₂, A₁₃, A₁₄Select from)
a_8n: Category weight corresponding to abdominal visceral fat cross-sectional area (VFA) (a₈₁, A₈₂, A₈₃Select from)
a_3n: Category weight corresponding to drinking (a₃₁, A₃₂, A₃₃Select from)
a_4n: Category weights corresponding to smoking (a₄₁, A₄₂, A₄₃Select from)
a_5n: Category weight corresponding to exercise (a₅₁, A₅₂, A₅₃Select from)
a_6n: Category weight corresponding to nutritional balance (a₆₁, A₆₂Select from)
[0042]
Further, when using the equations (5) and (6), the body fat percentage (FAT) or the abdominal visceral fat crossing obtained by the functions of the body fat scale and the visceral fat scale of the health information display device 1 For items of area (VFA), multiple categories corresponding to the item, such as body fat percentage (FAT), for men, are (1) thin (-10%), (2) standard (10-20%) , (3) Obese (20% ~) is classified in the case of women, (1) thin (~ 20%), (2) standard (20-30%), (3) obesity (30% ~ ), And the abdominal visceral fat cross-sectional area (VFA) is (1) less (˜40 cm)²), (2) Standard (40-100cm)²), (3) Obesity (100cm²It is classified and stored in any one of ~). The determination of each of these categories is automatically processed by comparing with a plurality of reference values set and input in advance.
[0043]
Furthermore, regarding items of lifestyle habits (lifestyles), other items such as salt intake status, green / yellow vegetable / fruit intake status, stress, and sleep time may be added. As a result, more items can be reflected, and an accurate health level can be obtained.
[0044]
S10: Subsequently, in the health information display device 1 of the present embodiment, the individual's health age can be estimated and calculated. That is, based on data obtained from a large number of unspecified populations, the correlation between age and health is obtained using regression analysis, one of the well-known statistical analysis methods. The health age is estimated and calculated based on the health level and displayed. In this case, the health level is based on a result calculated using, for example, the formula (4), the formula (5), or the formula (6).
As a formula for calculating the health age, for example, formula (7) is conceivable.
AG = −k × HD + j (7)
Where AG: health age, HD: health level, k: coefficient, j: constant
[0045]
S11: The BMI, the body fat percentage, the abdominal visceral fat cross-sectional area, the health level, and the health age thus obtained are displayed on the display unit 5.
[0046]
In the present embodiment, the desk-top type health information display device has been described, but the health information display device can be attached to a weight scale to be a floor-standing type.
[Brief description of the drawings]
FIG. 1 is a front view (a) and a side view (b) of a health information display device according to an embodiment of the present invention.
FIG. 2 is a system configuration diagram of a health information display apparatus according to the present embodiment.
FIG. 3 is a flowchart showing a health / health age display flow of the health information display device of the present embodiment;
[Explanation of symbols]
1 health information display device
2 body
3a, 3b, 3c, 3d electrodes
4 Bioimpedance measurement circuit
5 Display section (display means)
6 Power switch
7 Abdominal visceral fat cross-sectional area measurement start switch
8 Personal data setting mode switch
9 Increment / decrement key
10 I / O circuit
11 Central processing unit (calculation means)
12 Storage unit (storage means)

Claims (3)

Input means for inputting personal identification information of height, weight, age, and sex, storage means for storing personal identification information input from the input means, and bioimpedance measurement means for measuring the bioimpedance of the body of the subject And calculating the body fat percentage as a health index of the subject based on the personal identification information stored in the storage means and the bioimpedance measured by the bioimpedance measuring means, thereby calculating the health level of the subject Computing means for performing, and display means for displaying the personal identification information and the health level,
The computing means is based on a survey analysis by a large number of unspecified groups , for each item of age , which is the personal identification information , body fat percentage which is a health index , and alcohol consumption, smoking, exercise and nutrition balance which are lifestyle factors. Analysis, determine the category weight of each item, and quantify the health of the subject by quantifying,
The plurality of categories corresponding to the item of body fat percentage, which is the health index of the subject, is classified as either thin (-10%), standard (10-20%), or obese (20%-) in the case of men. In the case of a woman, it is classified and stored as one of thinness (~ 20%), standard (20-30%), and obesity (30% ~). A health information display device that is automatically performed by comparing with a plurality of reference values. Input means for inputting personal identification information of height, weight, age, sex, and abdominal circumference, storage means for storing personal identification information input from the input means, and bioimpedance of the body of the subject Based on the bioimpedance measurement means, the personal identification information stored in the storage means and the bioimpedance measured by the bioimpedance measurement means , the abdominal visceral fat cross-sectional area which is a health index of the subject is calculated and examined Calculation means for calculating the health level of the person, and display means for displaying the personal identification information and the health level,
The calculation means is based on a survey analysis by a large number of unspecified groups, and includes each of the age as the personal identification information , the abdominal visceral fat cross-sectional area as a health index , and drinking, smoking, exercise and nutritional balance as lifestyle factors. Analyze each item, determine the category weight of each item, and quantify the health of the subject by quantifying,
A plurality of categories corresponding to the item of the abdominal visceral fat cross-sectional area which is health index of the subject is less (~40cm ^2), the standard (40~100cm ^2), classified as either obese (100 cm ² ~), storage The health information display device is characterized in that the determination of each category is automatically performed by comparing with a plurality of reference values set and input in advance. Based on survey analysis by an unspecified large number of groups, a correlation between age and health level is obtained, and based on this correlation, the health age is estimated from the health level obtained by the computing means, and displayed on the display means. The health information display device according to claim 1 or 2 .

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