Hair loss among elderly men: Etiology and impact on perceived age

Helle Rexbye, Inge Petersen, Maria Iachina, Jakob Mortensen, Matt McGue, James W. Vaupel, Kaare Christensen

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1077-1082
Number of pages6
JournalJournals of Gerontology - Series A Biological Sciences and Medical Sciences
Volume60
Issue number8
DOIs
StatePublished - Aug 2005

Bibliographical note

Funding Information:
ACKNOWLEDGMENTS This work was supported by the Velux Foundation, the National Institute on Aging research grant NIA-PO1-AG08761, Grete and Sigurd Petersen’s Foundation, and Unilever.

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