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Abstract：
BACKGROUND: Limited studies have investigated the relationship between Anti-Müllerian hormone (AMH) and metabolic syndrome (MetS), yielding inconclusive results. This study aimed to examine the relationship between AMH levels and MetS and its components in women from a general population.
METHODS: This prospective study recruited 769 women. Generalized Estimating Equation (GEE) models analyzed longitudinal trends of MetS components. Cox proportional hazard models evaluated effect of age-specific AMH tertiles on MetS occurrence, adjusting for confounders.
RESULTS: The GEE analysis indicated that women in the third tertile exhibited higher mean FPG compared to those in the first tertile of age-specific AMH (3 mg/dL; 95% CI: 0.40, 5.60; P = 0.024); however, this association became non-significant after adjustment. Notably, the second tertile showed a significant decrease in FPG mean changes over time (-0.69 mg/dL; 95% CI: -1.31, -0.07; P Interaction = 0.030). Women in the second and third tertiles of age-specific AMH demonstrated lower mean HDL-C compared to the first tertile (-2.96 mg/dL; 95% CI: -4.67, -1.26; P < 0.001 and -2.63 mg/dL; 95% CI: -4.31, -0.96; P = 0.002, respectively). The association between HDL-C changes and the second tertile remained significant after adjustment (-1.91 mg/dL; 95% CI: -3.68, -0.14; P = 0.034). No significant associations were observed between age-specific AMH tertiles and TG and SBP/DBP. Cox models revealed no significant differences in the hazard ratio of MetS between AMH tertiles after adjusting for confounders.
CONCLUSIONS: Despite minor variations in MetS components, AMH levels did not affect MetS risk in women from a general population.
METHODS: This prospective study recruited 769 women. Generalized Estimating Equation (GEE) models analyzed longitudinal trends of MetS components. Cox proportional hazard models evaluated effect of age-specific AMH tertiles on MetS occurrence, adjusting for confounders.
RESULTS: The GEE analysis indicated that women in the third tertile exhibited higher mean FPG compared to those in the first tertile of age-specific AMH (3 mg/dL; 95% CI: 0.40, 5.60; P = 0.024); however, this association became non-significant after adjustment. Notably, the second tertile showed a significant decrease in FPG mean changes over time (-0.69 mg/dL; 95% CI: -1.31, -0.07; P Interaction = 0.030). Women in the second and third tertiles of age-specific AMH demonstrated lower mean HDL-C compared to the first tertile (-2.96 mg/dL; 95% CI: -4.67, -1.26; P < 0.001 and -2.63 mg/dL; 95% CI: -4.31, -0.96; P = 0.002, respectively). The association between HDL-C changes and the second tertile remained significant after adjustment (-1.91 mg/dL; 95% CI: -3.68, -0.14; P = 0.034). No significant associations were observed between age-specific AMH tertiles and TG and SBP/DBP. Cox models revealed no significant differences in the hazard ratio of MetS between AMH tertiles after adjusting for confounders.
CONCLUSIONS: Despite minor variations in MetS components, AMH levels did not affect MetS risk in women from a general population.
摘要：
背景：有限的研究调查了抗苗勒管激素（AMH）与代谢综合征（MetS）之间的关系，产生不确定的结果。这项研究旨在研究普通人群中女性AMH水平与MetS及其组成部分之间的关系。
方法：这项前瞻性研究招募了769名女性。广义估计方程(GEE)模型分析了MetS分量的纵向趋势。Cox比例风险模型评估了年龄特异性AMH三元对MetS发生的影响，适应混杂因素。
结果：GEE分析表明，与年龄特异性AMH的第一三位数的女性相比，第三三位数的女性表现出更高的平均FPG（3mg/dL;95％CI：0.40，5.60;P=0.024）；但是，这种关联在调整后变得无显著性.值得注意的是,第二三分位数显示FPG平均变化随时间显著降低(-0.69mg/dL;95%CI:-1.31,-0.07;P交互作用=0.030).年龄特异性AMH的第二和第三三元组中的女性与第一三元组相比显示出更低的平均HDL-C(-2.96mg/dL;95%CI:-4.67,-1.26;P<0.001和-2.63mg/dL;95%CI:-4.31,-0.96;P=0.002,分别)。HDL-C变化与第二三分位数之间的相关性在调整后仍然显着（-1.91mg/dL;95％CI：-3.68，-0.14;P=0.034）。未观察到年龄特异性AMH三元组与TG和SBP/DBP之间的显著关联。Cox模型显示，在校正混杂因素后，AMH三元之间的MetS风险比没有显着差异。
结论：尽管MetS成分变化不大，AMH水平不影响一般人群女性的MetS风险。
方法：这项前瞻性研究招募了769名女性。广义估计方程(GEE)模型分析了MetS分量的纵向趋势。Cox比例风险模型评估了年龄特异性AMH三元对MetS发生的影响，适应混杂因素。
结果：GEE分析表明，与年龄特异性AMH的第一三位数的女性相比，第三三位数的女性表现出更高的平均FPG（3mg/dL;95％CI：0.40，5.60;P=0.024）；但是，这种关联在调整后变得无显著性.值得注意的是,第二三分位数显示FPG平均变化随时间显著降低(-0.69mg/dL;95%CI:-1.31,-0.07;P交互作用=0.030).年龄特异性AMH的第二和第三三元组中的女性与第一三元组相比显示出更低的平均HDL-C(-2.96mg/dL;95%CI:-4.67,-1.26;P<0.001和-2.63mg/dL;95%CI:-4.31,-0.96;P=0.002,分别)。HDL-C变化与第二三分位数之间的相关性在调整后仍然显着（-1.91mg/dL;95％CI：-3.68，-0.14;P=0.034）。未观察到年龄特异性AMH三元组与TG和SBP/DBP之间的显著关联。Cox模型显示，在校正混杂因素后，AMH三元之间的MetS风险比没有显着差异。
结论：尽管MetS成分变化不大，AMH水平不影响一般人群女性的MetS风险。
