CN114052666A - Method for evaluating facial skin age and application in cosmetic efficacy test - Google Patents
Method for evaluating facial skin age and application in cosmetic efficacy test Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/44—Detecting, measuring or recording for evaluating the integumentary system, e.g. skin, hair or nails
- A61B5/441—Skin evaluation, e.g. for skin disorder diagnosis
- A61B5/442—Evaluating skin mechanical properties, e.g. elasticity, hardness, texture, wrinkle assessment
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0048—Detecting, measuring or recording by applying mechanical forces or stimuli
- A61B5/0053—Detecting, measuring or recording by applying mechanical forces or stimuli by applying pressure, e.g. compression, indentation, palpation, grasping, gauging
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4848—Monitoring or testing the effects of treatment, e.g. of medication
Abstract
The invention provides a method for evaluating the age of facial skin and application of the method in a cosmetic efficacy test, wherein the method comprises the following steps: testing the skin viscoelasticity of a plurality of subjects by using a skin elasticity tester to obtain a plurality of indexes Uv, Ur, R1, R8, R4 and R9 for representing the skin condition; wherein Uv is a delayed deformation amount, R1 is a residual deformation amount, Ur is an immediate rebound deformation amount, R8 is a total deformation amount recovered after the suction force disappears, R4 is a residual deformation amount of the last cycle, and R9 is a difference between a maximum deformation amount of the last cycle and a maximum deformation amount of the first cycle; the units are all mm; based on the actual age y 'of the multiple subjects and the above parameters Uv, Ur, R1, R8, R4, R9, a linear regression analysis of y' with these 6 parameters was performed, yielding the regression equation: y ═ b + a1Uv+a2Ur+a3R1+a4R8+a5R4+a6R9; the skin age of the user is then determined based on the regression equation.
Description
Technical Field
The invention belongs to the technical field of cosmetics, particularly relates to a method for evaluating facial skin age and application of the method in a cosmetic efficacy test, and particularly relates to evaluation of facial skin age by using skin viscoelasticity characteristics and application of the method in the cosmetic efficacy test.
Background
With the development of society, the research on anti-aging beauty technology has become a hot problem in the beauty and medical fields at home and abroad. Skin aging is the result of the combined action of various factors, including endogenous aging which is mainly influenced by genetic factors and natural aging which is influenced by external environmental factors such as ultraviolet radiation, attraction, chemical stimulation and the like, and is characterized by the appearance of skin wrinkles, dark complexion, elasticity loss, skin sagging and the like. With the promulgation of 'cosmetic supervision and management regulations' in China, the management of the cosmetic market is more standard, and the efficacy test of cosmetics is also valued by cosmetic enterprises.
At present, no unified evaluation standard exists for cosmetic tightness evaluation in China, and methods such as instrument test, consumer evaluation, in-vitro test and the like can be generally adopted, wherein the instrument test mainly utilizes the viscoelastic characteristics of the skin to evaluate the elasticity and the tightness of the skin before and after the product is used. However, the viscoelastic characteristic parameters of the skin are more and the types of the tested instruments are more, so that no objective and accepted evaluation standard exists at present.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a method for evaluating the skin age of the face and application of the method in testing the efficacy of cosmetics. The technical problem solved by the invention is to overcome the defect that the method for quantitatively evaluating the skin age by utilizing the skin viscoelasticity characteristics does not exist in the prior art and the application of the method in the efficacy evaluation.
The purpose of the invention is realized by the following technical scheme:
the invention provides a method for evaluating the age of facial skin, comprising the following steps:
s1, testing the skin viscoelasticity of a plurality of subjects by using a skin elasticity tester to obtain a plurality of indexes representing skin conditions;
s2, performing linear regression analysis according to the actual ages y' of a plurality of subjects and the multiple indexes;
and S3, judging the skin age of the user based on regression analysis.
In the steps S1 and S2, the parameters of the indexes are one or more of Uv, Ur, R1, R8, R4 and R9;
wherein Uv is the delayed deformation amount, R1 is the residual deformation amount, Ur is the immediate rebound deformation amount, R8 is the total deformation amount recovered after the suction force disappears, R4 is the residual deformation amount of the last cycle, R9 is the difference between the maximum deformation amount of the last cycle and the maximum deformation amount of the first cycle, and the unit is mm.
In step S1, the skin elasticity tester is a Cutometer MPA 580.
Based on the actual age y 'and the parameters Uv, Ur, R1, R8, R4, R9 of the multiple subjects, a linear regression analysis was performed on y' and these 6 parameters, resulting in the following regression equation:
y’＝b+a1Uv+a2Ur+a3R1+a4R8+a5R4+a6R9。
in step S2, the independent variables Uv, R1, and R4 are eliminated to obtain a regression equation y 77.928-1586.471 × Ur +807.136 × R8-165.302 × R9.
In a further embodiment of the present invention, in step S2, independent variables R1 and R4 are eliminated to obtain a regression equation of y 69.953-1535.374 × Ur +701.010 × R8-244.895 × R9+325.449 Uv.
In a further embodiment of the present invention, in step S2, the independent variable R9 is eliminated to obtain a regression equation of y 69.888 to 1616.005 × Ur +356.212 × R1+814.436 × R8 to 388.789 × R4+452.261 × Uv.
In another embodiment of the present invention, in step S2, independent variables Uv, R1, R4, and R9 are removed to obtain a regression equation of y 67.884 to 1433.894 Ur + 678.644R 8.
In step S1, the test site for the subject was a facial zygomatic site with no wound and no scar.
Further, in step S1, the subjects are persons of the same region, the same sex, and the same race.
Further, in step S1, the subject is a female. More preferably, the Chinese yellow female population.
The use of the method for assessing the age of the facial skin according to the above description in a cosmetic efficacy test also belongs to the scope of protection of the present invention.
The invention provides a method for evaluating facial skin age by using skin viscoelasticity characteristics and application of the facial skin age in a cosmetic efficacy test, which specifically comprises the following steps:
1. applying a constant negative pressure (400-500mbar) to the skin in the vertical direction by utilizing the viscoelastic characteristics of the skin, then eliminating the negative pressure, measuring the displacement change of the skin in different time periods, and performing 10 cycles in the mode to obtain Uv, Ur, R1, R8, R4 and R9, wherein Uv is the delay deformation quantity; r1 is the residual deformation; ur is the amount of the immediate rebound deformation; r8 is the total amount of deformation recovered after the suction force is removed; r4 is the residual deformation of the last cycle; r9 is the difference between the maximum deformation of the last cycle and the maximum deformation of the first cycle; the units are all mm;
2. linear regression analysis was performed on y 'and the 6 parameters above according to the actual age y' of the subjects and Uv, Ur, R1, R8, R4, R9 to obtain regression equation 1:
y’＝b+a1Uv+a2Ur+a3R1+a4R8+a5R4+a6R9；
3. measuring Uv, Ur, R1, R8, R4 and R9 of a subject to be evaluated, and calculating the facial skin age y, y ═ b + a of the subject to be evaluated according to a regression equation1Uv+a2Ur+a3R1+a4R8+a5R4+a6R9；
4. When a tightening efficacy test is carried out, Uv, Ur, R1, R8, R4 and R9 of a subject are collected at different time points, the facial skin age y of the subject to be evaluated is calculated according to a regression equation, and y is b + a1Uv + a2Ur + a3R1+ a4R8+ a5R4+ a6R9, so that the skin ages of the subject before and after the test sample is used can be obtained, and the skin ages before and after the use are subjected to significance analysis, so that whether the product has the efficacy of improving the skin tightness can be judged.
The formula is applied to a compaction efficacy test as a method for screening populations before testing.
The method is applied to a tightening efficacy test as a method for judging whether the product has tightening efficacy.
Compared with the prior art, the invention has the following beneficial effects:
1) the invention utilizes the viscoelastic characteristic of the skin to evaluate the age of the face skin, and evaluates the age and the aging condition of the skin from the viscoelastic characteristic of the skin, the prior art has no related invention, in addition, the prior art has an evaluation method of the apparent age of the skin, which belongs to evaluation from different angles with the evaluation method in the technology, and the method provides a method for evaluating the age of the skin quickly, objectively and accurately;
2) the method adopts a linear regression equation to evaluate the age of the skin, so that the compact state of the skin can be evaluated rapidly and objectively, and the method can be used for quantitatively and accurately screening suitable subjects when relevant efficacy tests are carried out, such as the compact efficacy test, and has guiding significance.
3) The method combines a plurality of skin viscoelasticity related parameters, and is relatively comprehensive;
4) the skin aging evaluation method adopts a linear regression equation to evaluate the skin aging, so that the skin tightening state is evaluated rapidly and objectively, the skin aging is calculated by a quantitative method, and the product tightening efficacy evaluation is expressed in an aging mode and is very visual.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 shows parameters obtained in one cycle of a skin elasticity tester Cutomer MPA 580;
FIG. 2 shows the parameters obtained in the skin elasticity tester Cutomer MPA580 for several cycles.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that it would be obvious to those skilled in the art that various changes and modifications can be made without departing from the spirit of the invention. All falling within the scope of the present invention.
The present invention provides methods for assessing skin age using viscoelastic characteristics of the skin.
The following embodiment comprises the following steps:
1) subject enrollment: selecting healthy Chinese females, excluding the subjects with wounds, scars and other interference study on the facial test part, wherein the subjects are 19-70 years old and 66 subjects are counted, and after the researchers explain the test purpose, the test method, the matters required to be matched and other information to the subjects, the subjects fill in an informed consent.
2) Cleaning the whole face of a subject by using the facial cleanser as required, wiping the face dry, and then sitting still for 15 minutes under the conditions of set temperature and humidity, wherein the temperature is 22 +/-2 ℃ and the humidity is 50 +/-10%;
3) the researcher uses a skin elasticity tester Cutomer MPA580 to test the testee (the Cutomer MPA580 is an instrument for testing the skin viscoelasticity, and comprises a host machine and a probe, and the skin is deformed by negative pressure. The test is based on the suction method, where the instrument generates a negative pressure to draw the skin into the aperture of the probe, and releases it after a period of time. The depth of the skin suction probe is measured by a non-contact optical system, the skin suction causes light intensity change, and the capability of the skin to resist negative pressure and return to the original state in the test process is displayed by a deformation quantity and time curve, so that the viscoelastic characteristic of the skin is evaluated. During testing, the cheekbone part of the face of a subject is selected, a first mode is selected, and 10 times of cycle repetition are carried out; wherein FIG. 1 shows parameters obtained in one cycle of a skin elasticity tester Cutomer MPA 580; FIG. 2 shows the parameters obtained in the skin elasticity tester Cutomer MPA580 for several cycles.
4) Data were collated after testing and table 1 shows the actual age of the subjects and the values of Uv, Ur, R1, R8, R4, R9. Wherein Uv is the amount of delay distortion; r1 is the residual deformation; ur is the amount of the immediate rebound deformation; r8 is the total amount of deformation recovered after the suction force is removed; r4 is the residual deformation of the last cycle; r9 is the difference between the maximum deformation of the last cycle and the maximum deformation of the first cycle; the units are all mm;
TABLE 1 age of Subjects and values for the parameters
Examples 1 to 4
Linear regression analysis was performed based on the actual age y' of the subject and the parameters Uv, Ur, R1, R8, R4, R9 obtained from the test.
Example 1:
example 1 using SPSS data analysis software to perform linear regression analysis on actual age y' and tested parameters Uv, Ur, R1, R8, R4 and R9 in table 1, to obtain a regression equation 1 with y being 77.928-1586.471 Ur + 807.136R 8-165.302R 9, and with independent variables Uv, R1 and R4 removed and a linear correlation coefficient R value of 0.715, which indicates that the linear regression model has a high degree of explanation for the overall variation; and the F value obtained by the square difference analysis is 21.667, and the P value is less than 0.0001, which shows that the linear regression has statistical significance; when the respective variables are tested, all independent variables in the model are found to have statistical significance (P <0.05), so that the fitted regression equation can be shown to have statistical significance and universality.
Example 2
Performing linear regression analysis on the actual age y' and the tested parameters Uv, Ur, R1, R8, R4 and R9 in the table 1 by using SPSS data analysis software to obtain a regression equation 2 of y 69.953-1535.374 Ur + 701.010R 8-244.895R 9+325.449Uv, removing independent variables R1 and R4, wherein the value of a linear correlation coefficient R is 0.753, which indicates that the linear regression model has a high explanation degree on the overall variation; and the F value obtained by the square difference analysis is 19.915, and the P value is less than 0.0001, which shows that the linear regression has statistical significance; when the respective variables are tested, all independent variables in the model are found to have statistical significance (P <0.05), so that the fitted regression equation can be shown to have statistical significance and universality.
Example 3
Performing linear regression analysis on the actual age y' and tested parameters Uv, Ur, R1, R8, R4 and R9 in table 1 by using SPSS data analysis software to obtain a regression equation 3 of y 69.888-1616.005 Ur + 356.212R 1+ 814.436R 8-388.789R 4+452.261 Uv, removing an independent variable R9, wherein the linear correlation coefficient R value is 0.782, which indicates that the linear regression model has a high explanation degree on the overall variation; and the F value obtained by the square difference analysis is 18.908, and the P value is less than 0.0001, which shows that the linear regression has statistical significance; when the respective variables are tested, all independent variables in the model are found to have statistical significance (P <0.05), so that the fitted regression equation can be shown to have statistical significance and universality.
Example 4
Performing linear regression analysis on the actual age y' and the tested parameters Uv, Ur, R1, R8, R4 and R9 in table 1 by using SPSS data analysis software to obtain a regression equation 4 of y 67.884-1433.894 Ur + 678.644R 8, removing independent variables Uv, R1, R4 and R9, wherein the value of a linear correlation coefficient R is 0.690, which indicates that the linear regression model has a high explanation degree on the overall variation; and the F value obtained by the square difference analysis is 28.560, and the P value is less than 0.0001, which shows that the linear regression has statistical significance; when the respective variables are tested, all independent variables in the model are found to have statistical significance (P <0.05), so that the fitted regression equation can be shown to have statistical significance and universality.
Application case 1
This embodiment provides a method for evaluating the skin firmness at the cheek, including regression equations 1-4 of the above-mentioned embodiments 1-4, with the following specific steps:
1) subject enrollment: selecting healthy Chinese females, excluding subjects with wounds, scars and other interference study on the face test part, wherein the subjects are 20-60 years old and total 20 subjects, and filling an informed consent by the subjects after the researchers explain the purpose of the test, the test method, the matters needing to be matched and other information to the subjects;
2) cleaning the whole face of a subject by using the facial cleanser as required, wiping the face dry, and then sitting still for 15 minutes under the conditions of set temperature and humidity, wherein the temperature is 22 +/-2 ℃ and the humidity is 50 +/-10%;
3) the researcher uses a skin elasticity tester Cutomer MPA580 to test the testee, selects a mode one, and performs 10 times of cycle repetition;
4) and (4) carrying out data arrangement after testing according to the four curve equations:
equation 1: y 77.928-1586.471 Ur + 807.136R 8-165.302R 9,
equation 2: y-69.953-1535.374 Ur + 701.010R 8-244.895R 9+325.449Uv,
equation 3:
y＝69.888-1616.005*Ur+356.212*R1+814.436*R8-388.789*R4+452.261*Uv，
equation 4: y 67.884-1433.894 Ur + 678.644R 8,
respectively substituting tested Uv, Ur, R1, R8, R4 and R9 into the calculated predicted skin age, concrete knot
If as shown in table 2:
TABLE 2 age of the subjects, values of the parameters and skin age
Application case 2:
the present case provides a method for evaluating the skin firmness at the cheek area, comprising the following specific steps:
(1) the actual age in case 1 and the calculated skin age were subjected to a paired sample t test using the data analysis software SPSS, and the significance level α was taken to be 0.05, resulting in a p-value for significance analysis:
(2) if p <0.05, it indicates that there is a significant difference between the actual age of the shuffled subject and the calculated skin age; if p is more than or equal to 0.05, the fact that the actual age of the reorganized subjects has no significant difference from the calculated skin age is shown; the results of the significance analysis of skin age and actual age are shown in table 3.
TABLE 3 significance analysis of actual age and skin age
(3) In table 3, the skin age calculated according to equation 3 has a significant difference from the actual age (p ═ 0.048), indicating that the skin age obtained according to equation 3 is significantly higher than the actual age, indicating that the skin firmness of the cheeks of the group of subjects calculated according to equation 3 is lower; the skin ages calculated by equations 1, 2, 4 were not significantly different from the actual age (p > 0.05).
Application case 3:
the application of the method for evaluating the skin age of the face cheek in the test for improving the skin tightness of the cheek comprises the following steps:
1. designing an experimental scheme: 66 eligible asian female subjects were screened in two groups of 33 individuals, wherein the inclusion and exclusion criteria for the subjects were as follows:
1) subject inclusion criteria: selecting healthy Chinese females, excluding test subjects with wounds, scars and other interference researches on the face test part, wherein the test subjects age from 20 to 60 years, and the skin is self-rated to be dry and loose, and voluntarily participating in the test and completing the test according to requirements;
2) subject exclusion terms: patients with systemic, immunodeficiency or autoimmune diseases, pregnant or gestational women, people undergoing dermatologic treatment, or subjects taking hydroxy acids, whitening and anti-aging drugs within one month, test areas with dermatologic diseases or undergoing drug therapy.
In this application, the following products were used for two groups of subjects, the first group: cleansing + basic moisturizing liquid (cleansing and basic moisturizing liquid do not contain tightening and anti-aging active ingredients), and the second group: the cleansing cream, the basic moisturizing liquid and the firming cream (the cleansing cream and the basic moisturizing liquid are the same as those in the first group, and firming and anti-aging functional components are added in the firming cream).
Two groups of subjects used the product as required for 6 weeks, after cleansing every morning and evening, and all subjects during the test period were not allowed to use any product on the other face except the test sample, and were tested on skin elasticity test probes before, at week 4, and at week 6 in a laboratory visit.
When the test is carried out every time, the testee firstly cleans the whole face by using the cleansing cream according to the requirement, and sits for 15 minutes under the condition of set temperature and humidity after being wiped dry, wherein the temperature is 22 +/-2 ℃, and the humidity is 50 +/-10%.
2. And (4) analyzing and counting results: data Uv, Ur, R1, R8, R4, and R9 before use (W0), at 4 weeks (W4), and at 6 weeks (W6) were derived and substituted into linear regression equation 3: y 69.888-1616.005 nr + 356.212R 1+ 814.436R 8-388.789R 4+452.261 Uv, skin age was calculated, W4 and W6 were subjected to significance analysis with W0, respectively, and a paired sample t test was performed using SPSS, significance level α was selected to be 0.05, and significance analysis results are shown in table 4 below:
TABLE 4 significance of skin age analysis of two groups of subjects
| Group of | First group | Second group |
| W0 skinAge mean | 36.2 | 35.7 |
| W4 skin age mean | 36.4 | 33.2 |
| W6 skin age mean | 35.9 | 31.1 |
| W4 VS W0 | P＝0.603 | P＝0.031 |
| W6 VS W0 | P＝0.125 | P＝0.002 |
(6) As can be seen from table 4, the skin age did not change significantly (p >0.05) after 4 weeks and 6 weeks of use compared to before use in the first group of subjects, indicating that the first group of test samples had no tightening efficacy; the second group of subjects had a significant change in skin age after 4 weeks of use (0.01< p <0.05) compared to before use and a very significant change in skin after 6 weeks of use (p <0.01), indicating that the second group of test samples was able to significantly reduce skin age after 4 and 6 weeks of use and that the second group of products had a firming effect.
Effect test 1:
the reliability of the method for evaluating the age of the cheek skin of the invention is verified, and the evaluation results of experts in the field are adopted for comparison in application case 1. In application case 1, the subject firstly cleans the whole face with the cleansing cream as required, then sits still for 15 minutes under the condition of set temperature and humidity after wiping, and then the skin age is estimated by experts in the field according to the skin tightening state of the subject, and the specific results are shown in the following table 5:
TABLE 5 skin calculated age and expert estimated age
| Serial number | Actual age | Equation 1 | |
|
|
Expert evaluation |
| 1 | 20 | 27 | 31 | 35 | 30 | 32 |
| 2 | 23 | 28 | 25 | 27 | 27 | 26 |
| 3 | 24 | 27 | 24 | 24 | 30 | 24 |
| 4 | 48 | 51 | 52 | 51 | 50 | 55 |
| 5 | 26 | 25 | 32 | 30 | 28 | 24 |
| 6 | 27 | 44 | 47 | 48 | 44 | 35 |
| 7 | 28 | 36 | 32 | 34 | 34 | 32 |
| 8 | 29 | 26 | 28 | 30 | 27 | 28 |
| 9 | 31 | 23 | 18 | 30 | 24 | 25 |
| 10 | 32 | 39 | 42 | 42 | 40 | 42 |
| 11 | 34 | 36 | 33 | 34 | 38 | 35 |
| 12 | 35 | 43 | 43 | 44 | 44 | 46 |
| 13 | 36 | 36 | 39 | 36 | 34 | 33 |
| 14 | 39 | 46 | 45 | 43 | 46 | 40 |
| 15 | 40 | 41 | 39 | 42 | 41 | 40 |
| 16 | 43 | 30 | 34 | 37 | 31 | 36 |
| 17 | 47 | 48 | 49 | 48 | 49 | 49 |
| 18 | 42 | 49 | 52 | 55 | 48 | 50 |
| 19 | 55 | 43 | 45 | 41 | 43 | 50 |
| 20 | 60 | 58 | 56 | 61 | 57 | 60 |
The calculated skin age and the age assessed by the expert were subjected to significance analysis, and a paired sample t test was performed by SPSS data analysis software, with the results shown in table 6:
TABLE 6 significance analysis of skin age and expert age
As can be seen from Table 6, the skin age calculated according to the four regression equations in the method of the present invention has no significant difference from the skin age estimated by experts, and the estimation results of the skin age calculated according to the four regression equations are consistent with the estimation results of the skin age estimated by experts.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes and modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention.
Claims (10)
1. A method of assessing facial skin age, the method comprising the steps of:
s1, testing the skin viscoelasticity of a plurality of subjects by using a skin elasticity tester to obtain a plurality of indexes representing skin conditions;
s2, performing linear regression analysis according to the actual ages y' of a plurality of subjects and the multiple indexes;
and S3, judging the skin age of the user based on regression analysis.
2. The method for evaluating the skin age of the face according to claim 1, wherein in the steps S1 and S2, the parameters of the plurality of indicators are one or more of Uv, Ur, R1, R8, R4, R9;
wherein Uv is the delayed deformation amount, R1 is the residual deformation amount, Ur is the immediate rebound deformation amount, R8 is the total deformation amount recovered after the suction force disappears, R4 is the residual deformation amount of the last cycle, R9 is the difference between the maximum deformation amount of the last cycle and the maximum deformation amount of the first cycle, and the unit is mm.
3. The method for evaluating the age of facial skin according to claim 1, wherein in step S1, the skin elasticity tester is a Cutometer MPA 580.
4. The method for evaluating the skin age of the face according to claim 2, wherein in step S2, based on the actual ages y 'and the parameters Uv, Ur, R1, R8, R4, R9 of the plurality of subjects, a linear regression analysis is performed on y' and the 6 parameters to obtain the regression equation as follows:
y’＝b+a1Uv+a2Ur+a3R1+a4R8+a5R4+a6R9。
5. the method for evaluating the skin age of the face as claimed in claim 2, wherein in step S2, the independent variables Uv, R1, R4 are eliminated to obtain a regression equation of
y＝77.928-1586.471*Ur+807.136*R8-165.302*R9。
6. The method for evaluating the skin age of the face as claimed in claim 2, wherein in step S2, the independent variables R1 and R4 are eliminated to obtain a regression equation
y＝69.953-1535.374*Ur+701.010*R8-244.895*R9+325.449Uv。
7. The method for evaluating the skin age of the face as claimed in claim 2, wherein in step S2, the independent variable R9 is eliminated to obtain the regression equation of
y＝69.888-1616.005*Ur+356.212*R1+814.436*R8-388.789*R4+452.261*Uv。
8. The method for evaluating the skin age of the face as claimed in claim 2, wherein in the step S2, the independent variables Uv, R1, R4 and R9 are eliminated to obtain a regression equation of
y＝67.884-1433.894*Ur+678.644*R8。
9. The method for evaluating the skin age of the face according to claim 1, wherein the test site of the subject is a zygomatic site of the face without wound and scar in step S1.
10. Use of the method of assessing facial skin age according to any one of claims 1 to 9 in a cosmetic efficacy test.
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| 程方, 高金平, 杨森, 等: "汉族人群皮肤弹性与年龄和部位的相关性分析", 《中国美容医学》, vol. 26, no. 2, pages 1 * |
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