Association between relative fat mass and sterility in women of reproductive age in the United States: results from the 2013–2018 NHANES

BackgroundA major problem that affects women of reproductive age globally is sterility. A new statistic called Relative Fat Mass (RFM) provides an accurate representation of the percentage of total body fat in people. This study aims to investigate the relationship between RFM and sterility in ferti...

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Main Authors: Mengmeng Sun, Yuxing Lu, Xi Yang, Xiaogang Mao
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Endocrinology
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Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2025.1521247/full
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author Mengmeng Sun
Mengmeng Sun
Yuxing Lu
Yuxing Lu
Xi Yang
Xiaogang Mao
Xiaogang Mao
author_facet Mengmeng Sun
Mengmeng Sun
Yuxing Lu
Yuxing Lu
Xi Yang
Xiaogang Mao
Xiaogang Mao
author_sort Mengmeng Sun
collection DOAJ
description BackgroundA major problem that affects women of reproductive age globally is sterility. A new statistic called Relative Fat Mass (RFM) provides an accurate representation of the percentage of total body fat in people. This study aims to investigate the relationship between RFM and sterility in fertility-age American women.MethodsThis study employed a cross-sectional design using data collected from NHANES between 2013 and 2018. The association between RFM and sterility was investigated using logistic regression analysis, controlling for a number of variables. The results were more resilient when RFM was transformed into a four-category variable in order to further examine the patterns of the association between different RFM levels and sterility. The dose-response association between RFM and sterility was illustrated using restricted cubic spline (RCS) analysis. Sensitivity and subgroup analyses were also conducted to assess the robustness and consistency of the results.ResultsThis study included 3,197 women aged 18–45, consisting of 2,854 non-sterile participants and 343 sterile participants. First, in the fully adjusted model, RFM and the prevalence of sterility had a positive correlation (OR = 1.05, 95% CI = 1.01–1.09). When converting RFM from a continuous to a categorical variable, the prevalence of sterility was significantly greater in the highest quartile than in the lowest quartile (OR = 2.59, 95% CI = 1.40–4.82). Furthermore, RFM and sterility prevalence were found to be positively linearly correlated by RCS analysis, with sterility rates sharply increasing as RFM levels rose. The positive correlation between RFM and the frequency of sterility was shown to be constant throughout various populations, according to subgroup analysis across stratified parameters. Finally, sensitivity analysis further confirmed the reliability and consistency of the study’s findings.ConclusionA representative sample of American women of reproductive age showed a positively correlation between RFM and the prevalence of sterility. RFM may help identify women at risk for sterility, and waist circumference management could potentially help lower the risk of sterility.
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spelling doaj-art-9e5c8bacd8b7420681844657cffb6f152025-08-20T02:18:00ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922025-03-011610.3389/fendo.2025.15212471521247Association between relative fat mass and sterility in women of reproductive age in the United States: results from the 2013–2018 NHANESMengmeng Sun0Mengmeng Sun1Yuxing Lu2Yuxing Lu3Xi Yang4Xiaogang Mao5Xiaogang Mao6Department of Obstetrics and Gynecology, Hubei Provincial Clinical Research Center for Cervical Lesions, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, ChinaSchool of Medicine, Wuhan University of Science and Technology, Wuhan, ChinaDepartment of Obstetrics and Gynecology, Hubei Provincial Clinical Research Center for Cervical Lesions, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, ChinaSchool of Medicine, Wuhan University of Science and Technology, Wuhan, ChinaDepartment of Internal Medicine, Affiliated Hospital of Xiangyang Vocational and Technical College, Xiangyang, ChinaDepartment of Obstetrics and Gynecology, Hubei Provincial Clinical Research Center for Cervical Lesions, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, ChinaSchool of Medicine, Wuhan University of Science and Technology, Wuhan, ChinaBackgroundA major problem that affects women of reproductive age globally is sterility. A new statistic called Relative Fat Mass (RFM) provides an accurate representation of the percentage of total body fat in people. This study aims to investigate the relationship between RFM and sterility in fertility-age American women.MethodsThis study employed a cross-sectional design using data collected from NHANES between 2013 and 2018. The association between RFM and sterility was investigated using logistic regression analysis, controlling for a number of variables. The results were more resilient when RFM was transformed into a four-category variable in order to further examine the patterns of the association between different RFM levels and sterility. The dose-response association between RFM and sterility was illustrated using restricted cubic spline (RCS) analysis. Sensitivity and subgroup analyses were also conducted to assess the robustness and consistency of the results.ResultsThis study included 3,197 women aged 18–45, consisting of 2,854 non-sterile participants and 343 sterile participants. First, in the fully adjusted model, RFM and the prevalence of sterility had a positive correlation (OR = 1.05, 95% CI = 1.01–1.09). When converting RFM from a continuous to a categorical variable, the prevalence of sterility was significantly greater in the highest quartile than in the lowest quartile (OR = 2.59, 95% CI = 1.40–4.82). Furthermore, RFM and sterility prevalence were found to be positively linearly correlated by RCS analysis, with sterility rates sharply increasing as RFM levels rose. The positive correlation between RFM and the frequency of sterility was shown to be constant throughout various populations, according to subgroup analysis across stratified parameters. Finally, sensitivity analysis further confirmed the reliability and consistency of the study’s findings.ConclusionA representative sample of American women of reproductive age showed a positively correlation between RFM and the prevalence of sterility. RFM may help identify women at risk for sterility, and waist circumference management could potentially help lower the risk of sterility.https://www.frontiersin.org/articles/10.3389/fendo.2025.1521247/fullrelative fat masssterilitywaist circumferencecross-sectional studyNHANES
spellingShingle Mengmeng Sun
Mengmeng Sun
Yuxing Lu
Yuxing Lu
Xi Yang
Xiaogang Mao
Xiaogang Mao
Association between relative fat mass and sterility in women of reproductive age in the United States: results from the 2013–2018 NHANES
Frontiers in Endocrinology
relative fat mass
sterility
waist circumference
cross-sectional study
NHANES
title Association between relative fat mass and sterility in women of reproductive age in the United States: results from the 2013–2018 NHANES
title_full Association between relative fat mass and sterility in women of reproductive age in the United States: results from the 2013–2018 NHANES
title_fullStr Association between relative fat mass and sterility in women of reproductive age in the United States: results from the 2013–2018 NHANES
title_full_unstemmed Association between relative fat mass and sterility in women of reproductive age in the United States: results from the 2013–2018 NHANES
title_short Association between relative fat mass and sterility in women of reproductive age in the United States: results from the 2013–2018 NHANES
title_sort association between relative fat mass and sterility in women of reproductive age in the united states results from the 2013 2018 nhanes
topic relative fat mass
sterility
waist circumference
cross-sectional study
NHANES
url https://www.frontiersin.org/articles/10.3389/fendo.2025.1521247/full
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