Aims: Obesity is detrimental to infertility. The association between weight-adjusted-waist index (WWI, a recently developed adiposity indicator) and infertility has not previously been confirmed.
Methods: The data for this study were obtained from the National Health and Nutrition Examination Survey (NHANES) 2013-2018. Each participant's WWI was calculated as their waist circumference in centimeters by the square root of weight in kilograms. Multivariable logistic regression and generalized additive model were utilized to investigate the relationship between WWI with infertility. We used smoothed curve fitting to explore the non-linear relationship. Subgroup analysis and interaction tests were also conducted.
Results: A total of 3,526 participants with ages from18 to 45 were enrolled, 364 of whom were infertile. With the higher WWI, infertility was more prevalent (OR = 1.42, 95% CI: 1.22-1.65), and this association was still consistent in subgroups (all P for interaction> 0.05). Smoothed curve fitting showed a positive non-linear relationship between WWI and infertility. Furthermore, we discovered that WWI had a stronger connection with the risk of infertility than other markers of obesity including WC, body mass index (BMI) and a body shape index (ABSI).
Conclusions: Weight-adjusted-waist index levels were positively linked to an increased risk of infertility in American females and showed a stronger association than other markers of obesity. Our research indicated WWI could help identify women with infertility, and managing obesity as determined by WWI may help to reduce the risk of infertility.
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http://dx.doi.org/10.3389/fendo.2023.1175394 | DOI Listing |
BMC Endocr Disord
December 2024
Department of Oncology Surgery, Fuzhou Hospital of Traditional Chinese Medicine Affiliated to Fujian University of Traditional Chinese Medicine, No.102 Gudong Road, Gulou District, Fuzhou City, Fujian Province, 350001, China.
Objective: Infertility is associated with obesity. The Body Roundness Index (BRI) is a body measurement index related to obesity that more accurately assesses body and visceral fat levels. However, the relationship between BRI and infertility remains unclear.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
March 2024
Department of Nursing, Wuxi Maternity and Child Health Care Hospital, Wuxi, China.
Background: Obesity and psychological factors were identified as risk factors for female infertility. The study investigated the correlation between WWI, depression, and secondary infertility, focusing on the potential mediating role of depression.
Methods: According to the data from NHANES, this cross-sectional study used multiple regression analysis, subgroup analysis, and smooth curve fitting to explore the relationship between WWI, depression, and secondary infertility.
Medicine (Baltimore)
December 2023
Gynecology Department, Linping Campus, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Female infertility is a significant problem for women of reproductive age worldwide. Obesity has been proven to pose a danger for infertility in women. Weight-adjusted waist circumference index (WWI) is a recently created biomarker of obesity, and this research aims to explore the relationship between female infertility and WWI.
View Article and Find Full Text PDFJ Obstet Gynaecol Res
December 2023
Department of Obstetrics and Gynecology, Nanjing Pukou District Hospital of Traditional Chinese Medicine, Nanjing, Jiangsu, China.
Aim: This study aimed to determine whether the weight-adjusted-waist index (WWI) affected infertility in women of childbearing age in the United States.
Methods: In this study, a database from the 2013 to 2018 National Health and Nutrition Examination Survey (NHANES) was used. We analyzed 3374 participants' data cross-sectionally.
Front Endocrinol (Lausanne)
August 2023
Department of Pharmacy, Heyuan People's Hospital, Heyuan, China.
Aims: Obesity is detrimental to infertility. The association between weight-adjusted-waist index (WWI, a recently developed adiposity indicator) and infertility has not previously been confirmed.
Methods: The data for this study were obtained from the National Health and Nutrition Examination Survey (NHANES) 2013-2018.
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