Evidence map›Paper›PMID 39388314›Full record

ArticleThe Journal of clinical endocrinology and metabolism2025

Signs of Potential Androgen Excess Across the Lifespan in a US-based Digital Cohort Study.

Amber T Wolf, Zifan Wang, Jukka-Pekka Onnela, Donna D Baird, Anne Marie Z Jukic, Christine L Curry, Tyler Fischer-Colbrie, Michelle A Williams, Russ Hauser, Brent A Coull and 1 more

Abstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Signs of Potential Androgen Excess Across the Lifespan in a US-based Digital Cohort Study.The Journal of clinical endocrinology and metabolism · 2025
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Amber T WolfDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Zifan WangDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Jukka-Pekka OnnelaDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Donna D BairdEpidemiology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, NC 27709, USA.
Anne Marie Z JukicEpidemiology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, NC 27709, USA.
Christine L CurryHealth, Apple Inc., Cupertino, CA 95014, USA.
Tyler Fischer-ColbrieHealth, Apple Inc., Cupertino, CA 95014, USA.
Michelle A WilliamsDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Russ HauserDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Brent A CoullDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Shruthi MahalingaiahDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.ORCID 0000-0002-5527-5787

Funding

Environmental influences on fertility and reproductive healthZIAES103333 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI JUKIC, ANNE MARIE · 2019 to 2025
$7.3M
Apple IncIntramural Research ProgramIntramural Research Program of the National Institute of Environmental Health SciencesIntramural Research Program of the National Institutes of Health Z01ES103333NIH HHS Z01ES103333
6 · The paper itself

Abstract

contextAndrogen excess (AE)-related symptoms can vary widely and may appear across the life course.

objectiveWe assessed the prevalence of signs of potential AE and heterogeneity by demographic/health characteristics.

methodsWe 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.

resultsThe 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.

conclusionIn 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.

Indexed as

Acne VulgarisAndrogensHirsutismHyperandrogenismAdolescentAdultAgedAged, 80 and overCohort StudiesFemaleFollow-Up StudiesHumansMaleMiddle AgedPrevalenceUnited StatesAndrogensacnealopeciaandrogen excessdigital cohorthirsutismhyperandrogenism

Identifiers

PMID39388314
PMCPMC12086404

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.