College of Nursing, Yonsei University, Seoul, Korea.
Mo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University, Seoul, Korea.
Nurs Open. 2021 Nov;8(6):2996-3005. doi: 10.1002/nop2.1011. Epub 2021 Aug 2.
This study aimed to evaluate the correlations among anti-Müllerian hormone levels, body mass index and lipid profile in female nurses of reproductive age.
This is a descriptive cross-sectional study that used data from the Korea Nurses' Health Study, based on Nurses' Health Study 3 in the United States.
Participants included 448 female nurses of reproductive age. They provided details about their work experience, shift work, body mass index and history of polycystic ovary syndrome. Serum anti-Müllerian hormone levels and lipid profile were measured using blood samples. Statistical analysis included quantile regression analysis using STATA 13.0. Data were collected between November 2016 and March 2017 from Module 5 of the Korean Nurses' Health Study.
Approximately 12% of the participants were underweight, and roughly one-tenth were either overweight or obese. Although linear regression showed no relationship between anti-Müllerian hormone levels and body mass index, quantile regression showed that body mass index, total cholesterol levels and low-density lipoprotein levels were negatively correlated with anti-Müllerian hormone levels at the lower tails of the dependent variable. Meanwhile, high-density lipoprotein levels were positively correlated with anti-Müllerian hormone at the higher percentiles of anti-Müllerian hormone levels.
These findings suggest the possibility that changes in the lipid profile may influence anti-Müllerian hormone levels in women with diminished ovarian function, rather than obesity itself.
本研究旨在评估抗苗勒管激素水平、体重指数和血脂谱在育龄期女护士中的相关性。
这是一项描述性的横断面研究,使用了基于美国护士健康研究 3 的韩国护士健康研究的数据。
参与者包括 448 名育龄期女护士。她们详细提供了工作经历、轮班工作、体重指数和多囊卵巢综合征病史等信息。使用血液样本测量血清抗苗勒管激素水平和血脂谱。使用 STATA 13.0 进行了分位数回归分析。数据于 2016 年 11 月至 2017 年 3 月间从韩国护士健康研究的第 5 模块收集。
约 12%的参与者体重过轻,约十分之一的人超重或肥胖。虽然线性回归显示抗苗勒管激素水平与体重指数之间没有关系,但分位数回归显示,体重指数、总胆固醇水平和低密度脂蛋白水平与抗苗勒管激素水平在因变量的较低尾部呈负相关。与此同时,高密度脂蛋白水平与抗苗勒管激素水平在较高百分位数呈正相关。
这些发现表明,脂质谱的变化可能会影响卵巢功能减退的女性的抗苗勒管激素水平,而不是肥胖本身。