“Factors Contributing to the Facial Aging of Identical Twins”, Bahman Guyuron, David J. Rowe, Adam Bryce Weinfeld, Yashar Eshraghi, Amir Fathi, Seree Iamphongsai2009-04 (, , , , ; backlinks)⁠:

Background: The purpose of this study was to identify the environmental factors that contribute to facial aging in [discordant] identical twins.

Method: During the Twins Day Festival in Twinsburg, Ohio, 186 pairs of identical twins completed a comprehensive questionnaire, and digital images were obtained. A panel reviewed the images independently and recorded the differences in the perceived twins’ ages and their facial features. The perceived age differences were then correlated with multiple factors.

Results:

Conclusion: This study offers strong statistical evidence to support the role of some known factors that govern facial aging.

Marital Status: Women who had been divorced looked older than their married or single counterpart (p = 0.004). There were no differences found with increasing number of divorces. The twin who was divorced appeared about 1.7 years older than the twin who was not divorced. The twin who was a widow or widower appeared about 2 years younger than the twin who was not.

Use of Antidepressants: The current or past usage of antidepressants was associated with a statistically-significantly older appearance when compared with the twin with no history of antidepressant use (p < 0.05)…The increased perceived age of female twins who used antidepressants was also seen. This is also corroborated by Rexbye et al 2006, who found that depression was borderline statistically-significant with facial aging.

Figure 10: Effect of alcohol avoidance on perceived facial age difference. Avoidance of alcohol was associated with a younger appearance (<em>p</em> = 0.0002).
Figure 10: Effect of alcohol avoidance on perceived facial age difference.
Avoidance of alcohol was associated with a younger appearance (p = 0.0002).
Figure 3: Effect of years of smoking difference on perceived facial aging difference. The longer the twin smoked (beyond 5 years), the older she appeared (<em>p</em> = 0.005). Each 10 years of smoking difference led to a 2-year increase in perceived age.
Figure 3: Effect of years of smoking difference on perceived facial aging difference.
The longer the twin smoked (beyond 5 years), the older she appeared (p = 0.005). Each 10 years of smoking difference led to a 2-year increase in perceived age.
Figure 4: Twins (natural age 52) with difference in smoking history. Twin A (left) had a 20-year greater smoking history than twin B (right). Perceived age difference of the twins was 6.25 years.
Figure 5: Twins (natural age 57) with difference in smoking history. Twin B (right) had a 40-year greater smoking history than twin A (left). Twin A had 2 years of hormone replacement therapy. The perceived age difference was 8.25 years.
Figure 6: Twins (natural age 61) with substantial difference in sun exposure. Twin B (right) had ~10 hours per week greater sun exposure than twin A (left). Twin A had a body mass index 2.7 points higher than that of twin B. The perceived age difference was 11.25 years.
Figure 7: Twins (natural age 69) with difference in sun exposure. Twin A (left) had 19 hours per week greater sun exposure than twin B (right). Twin A had received 4 more years of hormone replacement therapy. Perceived age difference was 3.375 years.