Association between body mass index and female infertility in the United States: data from national health and nutrition examination survey 2013–2018

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Authors
Zhu, Lei
Zhou, Bin
Zhu, Xi
Cheng, Feng
Pan, Ying
Zhou, Yi
Wu, Yong
Xu, Qingna
Issue Date
2022-02-19
Type
Article
Language
en_US
Keywords
Female Infertility , Body Mass Index
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Abstract
Purpose: This study aimed to investigate the effects of body mass index (BMI) on infertility in women of childbearing age. Patients and Methods: We performed a cross-sectional study using data from 3624 participants from the National Health and Nutrition Examination Survey (NHANES). We used BMI and fertility status in the survey as independent and dependent variables, respectively. We evaluated their relationship and used smoothed curve fitting and multivariate logistic regression analysis as well as a generalized additive model (GAM) to determine the effect of BMI. Results: Logistic regression model analysis linked BMI and infertility after adjusting for potential confounders OR 1.03, 95%Cl: 1.02–1.05). There was a non-linear relationship between BMI and infertility, with each unit increase in BMI reducing the risk of infertility by 33% when BMI was <19.5 kg/m2. In contrast, when BMI ≥19.5 kg/m2, each unit increase in BMI predicted a 3% increase in the risk of infertility. Conclusion: The relationship between infertility and BMI presented a U-shaped curve. Therefore, a BMI that lay at the extremes of the spectrum tended to predict infertility. We believe that this study will support the maintenance of suitable BMI levels in women preparing for pregnancy.
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Zhu, L., Zhou, B., Zhu, X., Cheng, F., Pan, Y., Zhou, Y., Wu, Y., & Xu, Q. (2022). Association Between Body Mass Index and Female Infertility in the United States: Data from National Health and Nutrition Examination Survey 2013-2018. International journal of general medicine, 15, 1821–1831. https://doi.org/10.2147/IJGM.S349874
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International Journal of General Medicine
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