Signs of Potential Androgen Excess Across the Lifespan in a US-based Digital Cohort Study
Androgen excess (AE)-related symptoms can vary widely and may appear across the life course. We assessed the prevalence of signs of potential AE and heterogeneity by demographic/health characteristics. We used data of 24 435 participants who consented and enrolled during November 2019 to December 20...
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Veröffentlicht in: | The journal of clinical endocrinology and metabolism 2024-10 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Androgen excess (AE)-related symptoms can vary widely and may appear across the life course.
We assessed the prevalence of signs of potential AE and heterogeneity by demographic/health characteristics.
We used data of 24 435 participants who consented and enrolled during November 2019 to December 2022 in a US digital cohort to evaluate the prevalence and heterogeneity of self-reported signs of potential AE: possible hirsutism (having thick coarse hair on ≥4 of 8 body locations), hair level on the chin, hair loss on top of the head, and moderate to severe acne.
The prevalence of possible hirsutism, having several/a lot of hair on the chin, significantly reduced hair/visible scalp on top of the head, and moderate to severe acne were 6.9%, 12.6%, 1.7%, and 31.8%, respectively. While possible hirsutism and moderate to severe acne decreased with age (range: 18-86 years), hair on the chin and hair loss on the head increased with age. Participants who self-identified as Hispanic or South Asian reported a higher prevalence of possible hirsutism (11.2%, 16.9%, vs 6.3% among non-Hispanic White participants). Participants with higher body mass index had a higher prevalence of possible hirsutism. Moderate to severe acne was more common among those with polycystic ovary syndrome. Possible hirsutism and hair loss were less common among participants using hormones for contraception.
In this large cohort, signs of potential AE varied by demographic and health factors. These results could provide a new understanding of how potential AE may appear differently in diverse groups, informing future work to develop more inclusive evaluation at a population level. |
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ISSN: | 0021-972X 1945-7197 1945-7197 |
DOI: | 10.1210/clinem/dgae674 |