Correlation between cardiometabolic index and female infertility: a cross-sectional analysis.

IF 4.2 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM Reproductive Biology and Endocrinology Pub Date : 2024-11-14 DOI:10.1186/s12958-024-01312-9
Yiran Zhao, Weihui Shi, Yang Liu, Ningxin Qin, Hefeng Huang
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Abstract

Background: Obesity and adverse lipid profile leads to female infertility. The cardiometabolic index (CMI) is a promising indicator for predicting obesity-related diseases. The correlation between CMI and female infertility merits further investigation.

Methods: The data for this study were acquired from the 2013-2020 National Health and Nutrition Examination Survey (NHANES), with 2333 women enrolled. The cardiometabolic index (CMI) of each participant was calculated as the ratio of triglycerides and high-density lipoprotein cholesterol multiplied by waist-to-height ratio. Weighted multivariate logistic regression models were used to assess the independent correlation between the log-transformed CMI and infertility. Subgroup analyses were carried out to assess the reliability of the findings. Interaction tests were employed to determine whether variables affected infertility by interacting with log CMI.

Results: A total of 2333 participants aged 18-45 years were enrolled, 274 of whom were infertile. Log CMI of the infertility group was significantly higher than that of the non-infertility group (P < 0.001). After adjustment for potential confounders, women with higher CMI were at an increased risk of infertility (OR = 2.411, 95% CI: 1.416-4.112), and this correlation was still consistent in subgroups aged under 35 years (P < 0.001). Furthermore, restricted cubic spline analysis showed a positive non-linear relationship between log CMI and infertility.

Conclusions: Cardiometabolic index levels are positively correlated with increased risk of infertility in American females. Our study demonstrates the predictive capacity of CMI for female infertility.

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心脏代谢指数与女性不孕症的相关性:横断面分析。
背景:肥胖和不良血脂会导致女性不孕。心脏代谢指数(CMI)是预测肥胖相关疾病的一个有前途的指标。CMI 与女性不孕之间的相关性值得进一步研究:本研究的数据来自 2013-2020 年美国国家健康与营养调查(NHANES),共有 2333 名女性参与。每位参与者的心脏代谢指数(CMI)计算方法为甘油三酯和高密度脂蛋白胆固醇的比值乘以腰围与身高的比值。加权多变量逻辑回归模型用于评估对数变换后的 CMI 与不孕症之间的独立相关性。为评估研究结果的可靠性,还进行了分组分析。还采用了交互检验,以确定变量是否会通过与对数CMI交互作用而影响不孕症:共有 2333 名年龄在 18-45 岁之间的参与者参加了研究,其中 274 人不育。不孕不育组的对数 CMI 明显高于非不孕不育组(P 结论:不孕不育组的对数 CMI 明显高于非不孕不育组:美国女性的心脏代谢指数水平与不孕风险的增加呈正相关。我们的研究证明了 CMI 对女性不孕症的预测能力。
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来源期刊
Reproductive Biology and Endocrinology
Reproductive Biology and Endocrinology 医学-内分泌学与代谢
CiteScore
7.90
自引率
2.30%
发文量
161
审稿时长
4-8 weeks
期刊介绍: Reproductive Biology and Endocrinology publishes and disseminates high-quality results from excellent research in the reproductive sciences. The journal publishes on topics covering gametogenesis, fertilization, early embryonic development, embryo-uterus interaction, reproductive development, pregnancy, uterine biology, endocrinology of reproduction, control of reproduction, reproductive immunology, neuroendocrinology, and veterinary and human reproductive medicine, including all vertebrate species.
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