Literature DB >> 28392345

Lifestyle and Physiological Factors Associated with Facial Wrinkling in Men and Women.

Merel A Hamer1, Luba M Pardo1, Leonie C Jacobs1, M Arfan Ikram2, Joop S Laven3, Manfred Kayser4, Loes M Hollestein1, David A Gunn5, Tamar Nijsten6.   

Abstract

Facial wrinkling is one of the most notable signs of skin aging. Men and women show different wrinkling patterns yet the lifestyle and physiological factors underlying these sex-specific patterns are relatively unknown. Here, we investigated sex-specific determinants for facial wrinkles. Wrinkle area was quantified digitally using facial photographs of 3,831 northwestern Europeans (51-98 years, 58% female). Effect estimates from multivariable linear regressions are presented as the percentage difference in the mean value of wrinkle area per unit increase of a determinant (%Δ). Wrinkle area was higher in men (median 4.5%, interquartile range: 2.9-6.3) than in women (3.6%, interquartile range: 2.2-5.6). Age was the strongest determinant, and current smoking (men: 15.5%Δ; women: 30.9%Δ) and lower body mass index (men: 1.7%Δ; women: 1.8%Δ) were also statistically significantly associated with increased wrinkling. Pale skin color showed a protective effect (men: -21.0%Δ; women: -28.5%Δ) and, in men, sunburn tendency was associated with less wrinkling. In women, low educational levels and alcohol use were associated with more wrinkling, whereas female pattern hair loss and a higher free androgen index were associated with less wrinkling. In summary, we validated known and identified additional determinants for wrinkling. Skin aging-reducing strategies should incorporate the sex differences found in this study.
Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28392345     DOI: 10.1016/j.jid.2017.04.002

Source DB:  PubMed          Journal:  J Invest Dermatol        ISSN: 0022-202X            Impact factor:   8.551


  6 in total

1.  The Rotterdam Study: 2018 update on objectives, design and main results.

Authors:  M Arfan Ikram; Guy G O Brusselle; Sarwa Darwish Murad; Cornelia M van Duijn; Oscar H Franco; André Goedegebure; Caroline C W Klaver; Tamar E C Nijsten; Robin P Peeters; Bruno H Stricker; Henning Tiemeier; André G Uitterlinden; Meike W Vernooij; Albert Hofman
Journal:  Eur J Epidemiol       Date:  2017-10-24       Impact factor: 8.082

2.  Baumann Skin Type in the Korean Male Population.

Authors:  Young Bin Lee; Sung Ku Ahn; Gun Young Ahn; Hana Bak; Seung Phil Hong; Eun Jung Go; Chang Ook Park; Sang Eun Lee; Weon Ju Lee; Hyun-Chang Ko; Jee-Bum Lee; Hyung Joo Kim; Kun Park; Sang-Hoon Lee; Dong Hoon Song; Sun Young Choi; Yeol Oh Sung; Tae-Hyun Kim; Ja Woong Goo
Journal:  Ann Dermatol       Date:  2019-10-31       Impact factor: 1.444

3.  Objectives, design and main findings until 2020 from the Rotterdam Study.

Authors:  M Arfan Ikram; Guy Brusselle; Mohsen Ghanbari; André Goedegebure; M Kamran Ikram; Maryam Kavousi; Brenda C T Kieboom; Caroline C W Klaver; Robert J de Knegt; Annemarie I Luik; Tamar E C Nijsten; Robin P Peeters; Frank J A van Rooij; Bruno H Stricker; André G Uitterlinden; Meike W Vernooij; Trudy Voortman
Journal:  Eur J Epidemiol       Date:  2020-05-04       Impact factor: 8.082

4.  Association between genetically predicted telomere length and facial skin aging in the UK Biobank: a Mendelian randomization study.

Authors:  Yiqiang Zhan; Sara Hägg
Journal:  Geroscience       Date:  2020-10-08       Impact factor: 7.713

5.  The effect of smiling on the perceived age of male and female faces across the lifespan.

Authors:  Tzvi Ganel; Melvyn A Goodale
Journal:  Sci Rep       Date:  2021-11-26       Impact factor: 4.379

6.  Assessment of Human Skin Gene Expression by Different Blends of Plant Extracts with Implications to Periorbital Skin Aging.

Authors:  Jin Namkoong; Dale Kern; Helen E Knaggs
Journal:  Int J Mol Sci       Date:  2018-10-26       Impact factor: 5.923

  6 in total

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