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<p>Concerns about facial skin health and aesthetics are increased among the male demographic, necessitating in-depth exploration of lifestyle factors on facial skin phenotypes. Large-scale studies on male facial skin phenotypes remain scarce due to inherent constraints in phenotypic acquisition efficiency and subject recruitment. This study fully utilizes the advantages of rapid facial skin phenotype acquisition and intelligent, standardized data processing by artificial intelligence (AI) algorithms. 500,386 Chinese males were enrolled from “YOU LOOK GREAT TODAY” app and 5,056 questionnaires were collected from 10 cities in China. To our knowledge, this represents the largest cohort specifically focused on Chinese male facial skin phenotypes. Statistics were carried out to unveil the insights of Chinese male skin changes with age, region, environments and lifestyle. Revealed age-dependent distribution patterns on facial pore, blackheads, oiliness, dark circles, skin roughness, and skin sensitivity. Correlation analysis further indicated significant impact of lifestyle parameters such as stress levels and sleep quality towards skin sensitivity, alongside measurable effects of other lifestyle parameters. By combining AI assisted image processing with traditional questionnaires, this study provides a robust dataset and critical insights around Chinese male facial skin phenotype research, which holds promise for advancing diagnostics and therapeutics in dermatology and offers novel perspectives in developing male-targeted skin treatments.</p>

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AI-driven Chinese male facial skin phenotype profiling and its lifestyle correlation

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月9日

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  • Jizong Yao,
  • Hang Xie,
  • Xiaodi Wang,
  • Liang Wu,
  • Danning Zeng,
  • Jinyan Song,
  • Zitao Ma,
  • Nan Lu,
  • Huanjun Zhou,
  • Guangwen He,
  • Jian Cao,
  • Jiying Dong

摘要

Concerns about facial skin health and aesthetics are increased among the male demographic, necessitating in-depth exploration of lifestyle factors on facial skin phenotypes. Large-scale studies on male facial skin phenotypes remain scarce due to inherent constraints in phenotypic acquisition efficiency and subject recruitment. This study fully utilizes the advantages of rapid facial skin phenotype acquisition and intelligent, standardized data processing by artificial intelligence (AI) algorithms. 500,386 Chinese males were enrolled from “YOU LOOK GREAT TODAY” app and 5,056 questionnaires were collected from 10 cities in China. To our knowledge, this represents the largest cohort specifically focused on Chinese male facial skin phenotypes. Statistics were carried out to unveil the insights of Chinese male skin changes with age, region, environments and lifestyle. Revealed age-dependent distribution patterns on facial pore, blackheads, oiliness, dark circles, skin roughness, and skin sensitivity. Correlation analysis further indicated significant impact of lifestyle parameters such as stress levels and sleep quality towards skin sensitivity, alongside measurable effects of other lifestyle parameters. By combining AI assisted image processing with traditional questionnaires, this study provides a robust dataset and critical insights around Chinese male facial skin phenotype research, which holds promise for advancing diagnostics and therapeutics in dermatology and offers novel perspectives in developing male-targeted skin treatments.