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The association of female reproductive factors with risk of metabolic syndrome in women from NHANES 1999–2018

BACKGROUND: Female reproductive factors such as age at first birth (AFB), age at last birth (ALB), number of pregnancies and live births play an essential role in women’s health. However, few epidemiological studies have evaluated the association between female reproductive factors and metabolic syn...

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Autores principales: Zuo, Ronghua, Ge, Yiting, Xu, Jingbo, He, Lin, Liu, Tao, Wang, Bing, Sun, Lifang, Wang, Shasha, Zhu, Zhijian, Wang, Yuefei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10664376/
https://www.ncbi.nlm.nih.gov/pubmed/37990201
http://dx.doi.org/10.1186/s12889-023-17207-0
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author Zuo, Ronghua
Ge, Yiting
Xu, Jingbo
He, Lin
Liu, Tao
Wang, Bing
Sun, Lifang
Wang, Shasha
Zhu, Zhijian
Wang, Yuefei
author_facet Zuo, Ronghua
Ge, Yiting
Xu, Jingbo
He, Lin
Liu, Tao
Wang, Bing
Sun, Lifang
Wang, Shasha
Zhu, Zhijian
Wang, Yuefei
author_sort Zuo, Ronghua
collection PubMed
description BACKGROUND: Female reproductive factors such as age at first birth (AFB), age at last birth (ALB), number of pregnancies and live births play an essential role in women’s health. However, few epidemiological studies have evaluated the association between female reproductive factors and metabolic syndrome (MetS). We therefore conducted a cross-sectional study to investigate the association between MetS risk and female reproductive factors. METHODS: We investigated the relationship between AFB, ALB, number of pregnancies and live births and the incidence of MetS using publicly available data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018. Weighted multivariable logistic regression analysis, restricted cubic spline (RCS) model, and subgroup analysis were used to evaluate the association between AFB and ALB and the risk of MetS in women. In addition, the relationship between the number of pregnancies, live births and MetS risk was also explored. RESULTS: A total of 15,404 women were included in the study, and 5,983 (38.8%) had MetS. RCS models showed an N-shaped relationship between AFB and MetS risk, whereas ALB, number of pregnancies, and live births were linearly associated with MetS. Weighted multivariable logistic regression analysis showed that the number of live births was associated with MetS risk, with ORs of 1.18 (95% CI: 1.04, 1.35) for women with ≥ 5 deliveries compared to women with ≤ 2 births. CONCLUSIONS: AFB was associated with the risk of MetS in an N-shaped curve in women. In addition, women with high live births have a higher incidence of MetS.
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spelling pubmed-106643762023-11-21 The association of female reproductive factors with risk of metabolic syndrome in women from NHANES 1999–2018 Zuo, Ronghua Ge, Yiting Xu, Jingbo He, Lin Liu, Tao Wang, Bing Sun, Lifang Wang, Shasha Zhu, Zhijian Wang, Yuefei BMC Public Health Research BACKGROUND: Female reproductive factors such as age at first birth (AFB), age at last birth (ALB), number of pregnancies and live births play an essential role in women’s health. However, few epidemiological studies have evaluated the association between female reproductive factors and metabolic syndrome (MetS). We therefore conducted a cross-sectional study to investigate the association between MetS risk and female reproductive factors. METHODS: We investigated the relationship between AFB, ALB, number of pregnancies and live births and the incidence of MetS using publicly available data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018. Weighted multivariable logistic regression analysis, restricted cubic spline (RCS) model, and subgroup analysis were used to evaluate the association between AFB and ALB and the risk of MetS in women. In addition, the relationship between the number of pregnancies, live births and MetS risk was also explored. RESULTS: A total of 15,404 women were included in the study, and 5,983 (38.8%) had MetS. RCS models showed an N-shaped relationship between AFB and MetS risk, whereas ALB, number of pregnancies, and live births were linearly associated with MetS. Weighted multivariable logistic regression analysis showed that the number of live births was associated with MetS risk, with ORs of 1.18 (95% CI: 1.04, 1.35) for women with ≥ 5 deliveries compared to women with ≤ 2 births. CONCLUSIONS: AFB was associated with the risk of MetS in an N-shaped curve in women. In addition, women with high live births have a higher incidence of MetS. BioMed Central 2023-11-21 /pmc/articles/PMC10664376/ /pubmed/37990201 http://dx.doi.org/10.1186/s12889-023-17207-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zuo, Ronghua
Ge, Yiting
Xu, Jingbo
He, Lin
Liu, Tao
Wang, Bing
Sun, Lifang
Wang, Shasha
Zhu, Zhijian
Wang, Yuefei
The association of female reproductive factors with risk of metabolic syndrome in women from NHANES 1999–2018
title The association of female reproductive factors with risk of metabolic syndrome in women from NHANES 1999–2018
title_full The association of female reproductive factors with risk of metabolic syndrome in women from NHANES 1999–2018
title_fullStr The association of female reproductive factors with risk of metabolic syndrome in women from NHANES 1999–2018
title_full_unstemmed The association of female reproductive factors with risk of metabolic syndrome in women from NHANES 1999–2018
title_short The association of female reproductive factors with risk of metabolic syndrome in women from NHANES 1999–2018
title_sort association of female reproductive factors with risk of metabolic syndrome in women from nhanes 1999–2018
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10664376/
https://www.ncbi.nlm.nih.gov/pubmed/37990201
http://dx.doi.org/10.1186/s12889-023-17207-0
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