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Background: It is unknown whether facial or surrounding (eg, hair and clothing) cues have the strongest influence on the perceived age of subjects in photographic images, and which drives links between perceived age and survival. Methods: In 2001, 187 Danish twin pairs (n = 374) aged 70+ years were photographed generating passport-type images. The faces of the twins in these images were swapped creating two new images per twin pair (748 images in total). Ten nurses rated the perceived age of the twin from the original and swapped facial images. The survival of the twins was determined through to the end of 2013. Results: Changing the face or its surrounding significantly changed the perceived age of the images, with only a marginal difference between their effect sizes (difference of 0.5 years, 95% confidence interval CI-0.1 to 1.1). Perceived age, adjusting for chronological age, and sex, was a predictor of survival up to 7 years (hazard ratio 1.17, 95% CI 1.10-1.25) and also 7-12 years (hazard ratio 1.06, 95% CI 1.00-1.12) after the photographs were taken. Where the older looking twin died first they had a significantly older looking face (1.4 years older, 95% CI 0.3-2.6) but not surrounding (0.3 years older, 95% CI-0.8 to 1.4) compared to where the older looking twin died second. Conclusions: Facial visual cues but not hair or clothing cues drive the link between perceived age and survival.

Background: a recent twin study has shown that ‘looking old for one’s age’ is associated with increased mortality. Approximately 40% of the variation in perceived age is due to non-genetic factors. Objective: to examine environmental factors influencing perceived age controlling for diseases. Design: a twin study. Setting: in the 2001 wave of the population-based survey—the Longitudinal Study of Aging Danish Twins—participants provided information on a wide range of exposures and health indicators. Additionally, they were asked to have a face photograph taken. Subjects: a total of 1826 elderly (70+) twins who had a high-quality face photograph taken. Methods: ten nurses assessed the visual age of each twin from the face photograph. The mean of the nurses’ age estimates for each twin was used as the twin’s perceived age. Multivariate linear regression and intrapair comparison (for intact twin pairs) were used for analyses. Results: statistically significant determinants of facial ageing associated with high perceived age for men were smoking (P = 0.01), sun exposure (P = 0.02) and low body mass index (BMI) (P

Udgivelsesdato: 2008-Oct In a previous field-based study, how old one looks for one's age (perceived age) was found to be predictive of mortality in elderly individuals. In conjunction, perceived age is of relevance and interest to the layperson. Here, a clinical methodology for generating perceived age as a biomarker of facial ageing is detailed. The methodology utilises facial photographs of subjects to present images to large numbers of age assessors who are primarily nationals of the country of study origin. In five observational studies in five different countries involving 874 female subjects it was found that subject age and assessor gender, nationality, age and ageing expertise had little effect on the perceived age data generated. However, increasing the numbers of age assessors up to 50 substantially increased the reproducibility of the mean perceived age for an image and a minimum of 10 assessors were required to give reproducible data. This methodology was also compared to a methodology that utilises passport-type photographs of subjects typically taken in field studies. Although the perceived age data from the two types of images were more similar to each other than to chronological age, there was a marked difference between the two sets of data. Therefore, to allow meaningful comparisons across perceived age studies, the same type of image should be used for the generation of perceived age. In conclusion, the methodology detailed here has demonstrated that perceived age can be a reproducible measure when large numbers of adult age assessors are used and can be utilised globally in studies to investigate facial ageing.

Background. Androgenetic alopecia is the most common type of hair loss in men, but little is known about the etiology of androgenetic alopecia in elderly men and its impact on perceived age. Here we used a population-based twin study of men aged 70+ to assess the magnitude of the genetic component affecting hair loss and to examine the association between baldness and perceived age.Methods. In the fourth wave of The Longitudinal Study of Aging Danish Twins we obtained digital photos of the face and photos of the vertex area of 739 elderly male twins, including 148 intact twin pairs. The degree of baldness and perceived age were assessed in each twin by five and nine nurses, respectively. The heritability of balding was estimated using structural-equation analysis, and it was tested whether baldness was associated with estimations of age.Results. The intrapair correlation of degree of balding was consistently higher for monozygotic than for dizygotic twin pairs regardless of the baldness categorization used, and structural-equation analysis revealed a heritability of 79% (95% confidence interval, 0.40–0.85) for the mean baldness index. The remaining variation could be attributed to nonshared environmental effects. There was only a very weak and statistically nonsignificant association between baldness and overestimation of age.Conclusions. The majority of the variation in baldness in elderly men can be explained by genetic factors, and hair quantity has little impact on perceived age in elderly men.