Evidence map›Paper›PMID 40308359›Full record

ArticleWomen's health reports (New Rochelle, N.Y.)2025

Association of Polycystic Ovarian Syndrome Features and Metabolic Syndrome Among Reproductive-Aged Women in the United States.

Deepali K Ernest, Asha Collier, Aparajita Chandrasekhar, Luyu Xie, Shaghayegh Darraji, Jenil Patel, Jaime P Almandoz, Sarah E Messiah

Abstract read
In one paragraph

Article in Women's health reports (New Rochelle, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Deepali K ErnestDepartment of Epidemiology, School of Public Health, University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA.ORCID https://orcid.org/0000-0003-2638-8229
Asha CollierSchool of Human Ecology, University of Texas at Austin, Austin, Texas, USA.
Aparajita ChandrasekharDepartment of Epidemiology, School of Public Health, University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA.
Luyu XiePeter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Shaghayegh DarrajiSchool of Public Health, UTHealth at Houston, San Antonio, Texas, USA.
Jenil PatelDepartment of Epidemiology, School of Public Health, University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA.
Jaime P AlmandozDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Sarah E MessiahPeter O'Donnell Jr School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas, USA.

Funding

UT Southwestern NORCP30DK127984 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI Jeff G McDonald · 2022 to 2026
$7.4M
NIDDK NIH HHS P30 DK127984
6 · The paper itself

Abstract

Background: Polycystic ovarian syndrome (PCOS) is associated with the metabolic health of racially and ethnically diverse women globally, but limited research exists on the association of PCOS and metabolic syndrome (MetS) among women in the United States. Objective: To examine the association of PCOS features and MetS in a racially/ethnically diverse population of reproductive-aged women in the United States. Methods: Cross-sectional data from 2,172 women (12-49 years) from the 2011-2016 National Health and Nutrition Examination Survey were analyzed. Univariate logistic regression models determined unadjusted associations of MetS and its components (elevated central obesity, glucose, blood pressure and triglyceride, and low high-density lipoprotein cholesterol) with PCOS features (log-transformed total testosterone (LTT), sex-hormone binding globulin (LSHBG), amenorrhea, and oral contraceptive pills (OCP) use). Multivariable logistic models examined age-adjusted associations stratified by race and ethnicity. Results: The analytical sample (mean age = 30.3 years, 59% non-Hispanic White, 12.4% non-Hispanic Black, 18.7% Hispanic/Latina, 6.2% non-Hispanic Asian, 3.7% Other/multi-race) had a MetS prevalence of 14.5%. Overall, MetS was associated with age, body mass index, race/ethnicity, LTT and LSHBG concentrations, amenorrhea, and OCP use ( Conclusions: Findings suggest significant associations between PCOS features and MetS among a racially and ethnically diverse population of reproductive-aged women in the United States. More robust and longitudinal studies are needed to further understand the underlying mechanism linking PCOS and MetS.

Indexed as

metabolic syndromepolycystic ovarian syndromerace/ethnicityreproductive health

Identifiers

PMID40308359
PMCPMC12040555

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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.