Evidence map›Paper›PMID 33731110›Full record

ArticleBMC women's health2021

Predictors of adequate physical activity within a multiethnic polycystic ovary syndrome patient population: a cross-sectional assessment.

David Huang, Eleni Jaswa, Chia-Ning Kao, Molly Quinn, Marcelle Cedars, Heather Huddleston

Open access · goldAbstract read
In one paragraph

Article in BMC women's health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Review
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

6 authors at 2 institutions in 1 country.

David HuangDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, 480 16th Street, 10th Floor, Box 0132, San Francisco, CA, 94158, USA. David.Huang@ucsf.edu.ORCID 0000-0002-5569-6442
Eleni JaswaDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, CA, USA.
Chia-Ning KaoDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, CA, USA.
Molly QuinnDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, University of California Los Angeles, Los Angeles, CA, USA.
Marcelle CedarsDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, CA, USA.
Heather HuddlestonDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, CA, USA.
University of California, San Francisco · USUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysical activity is a cornerstone for treatment of women with polycystic ovary syndrome (PCOS), but there are limited data on their exercise behaviors. A previous study identified PCOS patients of non-White ethnicity to be at higher risk for inadequate physical activity. Further data is needed to identify groups that would benefit from additional counseling in achieving adequate physical activity (APA). Therefore, this study examined correlates of APA within a multiethnic PCOS patient population.

methodsCross-sectional assessment of exercise behaviors within a multiethnic PCOS patient population was performed using the International Physical Activity Questionnaire (IPAQ). Kruskal-Wallis test was used to compare metabolic equivalents from physical activity among racial/ethnic groups. APA was defined as at least 150 min of moderate-intensity, or 75 min of vigorous-intensity, or an equivalent combination of moderate- and vigorous-intensity activity per week. Logistic regression analyses were performed to identify correlates of APA.

resultsFour hundred and sixty-five women of various racial/ethnic backgrounds were included in analysis: 62% (n = 287) self-identified as White, 15% (n = 71) as Hispanic, 11% (n = 52) as East/Southeast Asian, 7% (n = 32) as South Asian, and 5% (n = 23) as Black/African American. Significant differences were observed in metabolic equivalents (METs) from vigorous-intensity and total (moderate plus vigorous-intensity) exercise across racial/ethnic groups (p < 0.01); South Asian patients had the lowest metabolic expenditure in moderate-intensity, vigorous-intensity, and total exercise. Overall prevalence of APA was 66%; South Asian patients exhibited the lowest prevalence (46.9%). Ethnicity was a predictor for APA when controlled for age (p = 0.01); this finding was attenuated in logistic regression models that also controlled for age and body mass index (p = 0.05) as well as education level and parity (p = 0.16).

conclusionsSouth Asian patients with PCOS exhibited the lowest metabolic expenditure and frequency of APA in our cohort. Differences in frequency of APA across racial/ethnic groups appear to be influenced by anthropometric and sociodemographic factors. Our findings present an opportunity for women's health providers to be cognizant and provide additional counseling regarding physical exercise to at-risk PCOS patients to improve their known higher risk for adverse long-term metabolic outcomes.

Indexed as

Polycystic Ovary SyndromeCross-Sectional StudiesEthnicityExerciseFemaleHumansRacial GroupsEthnicityExerciseHealth disparitiesPCOSRace

Identifiers

PMID33731110
PMCPMC7972197
OpenAlexW3137511176

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.