0
Article |

Relative Contribution of Intrinsic vs Extrinsic Factors to Skin Aging as Determined by a Validated Skin Age Score

Christiane Guinot, PhD; Denis J.-M. Malvy, MD, PhD; Laurence Ambroisine, MSc; Julie Latreille, MSc; Emmanuelle Mauger, MSc; Michel Tenenhaus, PhD; Frédérique Morizot, MD; Sabine Lopez, MSc; Isabelle Le Fur, PharmD; Erwin Tschachler, MD
Arch Dermatol. 2002;138(11):1454-1460. doi:10.1001/archderm.138.11.1454.
Text Size: A A A
Published online

Objective  To assess the relative contribution of intrinsic aging vs lifestyle factors to facial skin age.

Design  Prospective analysis of a cohort.

Setting  Skin research institute.

Study Subjects  A cohort of 361 white women (age range, 18-80 years) with apparently healthy skin.

Measurements  Visual and tactile assessment of facial skin features.

Results  Twenty-four skin characteristics were used to build a skin age score (SAS). The relationship between the SAS and chronological age followed a linear model with 2 plateaus—1 before age 30 years and 1 after age 71 years. An analysis was performed to determine whether certain lifestyle habits known to have effects on skin aging were related to the discrepancies between chronological age and the SAS. Significant effects were identified for phototype, body mass index, menopausal status, degree of lifetime sun exposure, and number of years of cigarette smoking. However, these factors accounted for only 10% of the discrepancies. Moreover, most skin characteristics used reflected changes understood to represent intrinsic aging rather than photodamage or other extrinsic factors.

Conclusions  An SAS can be generated from multiple discrete signs evaluated on facial skin and is an informative tool for quantifying skin aging. The SAS is influenced by factors already recognized to affect the aging phenotypes; however, factors related to the rate of intrinsic aging, presumably genetic in character, seem to play a larger role than previously suspected.

Figures in this Article

Sign In to Access Full Content

Don't have Access?

Register and get free email Table of Contents alerts, saved searches, PowerPoint downloads, CME quizzes, and more

Subscribe for full-text access to content from 1998 forward and a host of useful features

Activate your current subscription (AMA members and current subscribers)

Purchase Online Access to this article for 24 hours

Figures

Place holder to copy figure label and caption
Figure 1.

Second-order confirmatory factor analysis model used for development of partial and global skin aging scores. Correlation coefficients are indicated above the arrows. Correlations between each group of characteristics and corresponding partial scores, together with correlations between partial scores and the global score, were estimated using the CALIS procedure. Each partial score was then estimated as a weighted average for its centered-reduced characteristics, with weights corresponding to the correlations. The global score was obtained in the same manner, from the reduced partial scores. The formulas used for calculation of these scores are available on request.

Grahic Jump Location
Place holder to copy figure label and caption
Figure 2.

Relationship between the skin age score and chronological age. Each individual is represented by an open circle. Skin age predicted by the model appears as a straight line (r= 0.88; P<.001) between age 31 years (upper limit for the first plateau) and age 71 years (lower limit for the second plateau). A to D indicate individuals whose photographs are depicted in Figure 3.

Grahic Jump Location
Place holder to copy figure label and caption
Figure 3.

Photographs of women with a skin age score (SAS) less than their chronological age (A and C) and greater than their chronological age (B and D). A, A 41-year-old woman with an SAS of 28 and skin phototype IV. She used tobacco for 20 years and had moderate lifetime sun exposure. She was not experiencing menopause, and her body mass index (BMI, calculated as weight in kilograms divided by the square of height in meters) was 21. B, A 42-year-old woman with an SAS of 55 and skin phototype IV. She smoked for 10 years and had severe lifetime sun exposure. She was not experiencing menopause, and her BMI was 21. C, A 57-year-old woman with an SAS of 49 and skin phototype IV. She was a nonsmoker, but her lifetime sun exposure was severe. She was experiencing menopause, and her BMI was 27 (overweight). D, A 57-year-old woman with an SAS of 64 and skin phototype III. She was a nonsmoker, but her lifetime sun exposure was severe. She was experiencing menopause, and her BMI was 24.

Grahic Jump Location

Tables

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

References

Correspondence

CME
Accreditation Information
The American Medical Association is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians. The AMA designates this journal-based CME activity for a maximum of 1 AMA PRA Category 1 CreditTM per course. Physicians should claim only the credit commensurate with the extent of their participation in the activity. Physicians who complete the CME course and score at least 80% correct on the quiz are eligible for AMA PRA Category 1 CreditTM.
Note: You must get at least of the answers correct to pass this quiz.
You have not filled in all the answers to complete this quiz
The following questions were not answered:
Sorry, you have unsuccessfully completed this CME quiz with a score of
The following questions were not answered correctly:
Commitment to Change (optional):
Indicate what change(s) you will implement in your practice, if any, based on this CME course.
Your quiz results:
The filled radio buttons indicate your responses. The preferred responses are highlighted
For CME Course: A Proposed Model for Initial Assessment and Management of Acute Heart Failure Syndromes
Indicate what changes(s) you will implement in your practice, if any, based on this CME course.
NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s “Cited By” API will populate this tab (http://www.crossref.org/citedby.html).
Submit a Comment

Some tools below are only available to our subscribers or users with an online account.

Web of Science® Times Cited: 30

Sign In to Access Full Content

Related Content

Customize your page view by dragging & repositioning the boxes below.

Articles Related By Topic
Related Topics
Jobs
JAMAevidence.com

The Rational Clinical Examination
Make the Diagnosis: Will This Patient Fall?

The Rational Clinical Examination
Original Article: Will This Patient Fall?