Association between GLM7 glycolipid metabolism index and female infertility: A cross-sectional analysis of NHANES 2013–2020
Wenya Zhang, Liying Xie, Danyang Xia, Ailing Li, Abdureyimu Amanguli, Wenting Liu, Yanyan Zhang, Yan Kang, Xiaoling Ma, Yonghui Jiao
The glycolipid metabolism 7 factors (GLM7) index is a novel composite glycolipid index that includes age, triglycerides, fasting blood glucose, body mass index, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and insulin levels. It serves as a new indicator for predicting and diagnosing diseases. However, its relationship with infertility remains unclear. This study aims to investigate the association between the GLM7 index and female infertility. A cross-sectional study was conducted using data from National Health and Nutrition Examination Survey 2013–2020. Three logistic regression models were employed to assess the correlation between the GLM7 index (as a continuous variable and stratified by tertiles) and infertility. Additionally, threshold effect analysis was performed to verify the positive correlation between the 2. Finally, interaction and stratified analyses were conducted based on age, race, household income, marital status, education level, smoking status, drinking status, and chronic disease history. A total of 3792 women were included in the analysis. When the GLM7 index was treated as a continuous variable, each 1-unit increase in GLM7 was associated with a 29% higher risk of infertility (Model 3: odds ratio [OR] = 1.29, 95% confidence interval [CI]: 1.10–1.53,