Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Department of Pathobiology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
J Womens Health (Larchmt). 2023 Jan;32(1):94-101. doi: 10.1089/jwh.2021.0502. Epub 2022 Nov 25.
Sleep disruptions are among the most common symptoms experienced during menopause and can be associated with depression, hot flashes, and fluctuating hormones. However, few studies have examined how such risk factors influence sleep in midlife women in a network-based approach that will establish the complex relationship between variables. We used a Bayesian network (BN) to examine the relationship between multiple factors known to influence sleep and depression in midlife women, including hormone concentrations, hot flashes, and menopause status among participants of the longitudinal Midlife Women's Health Study. In year 1, 762 women (45-54 years of age) answered questions regarding the frequency of insomnia, hot flashes, and depression; 389 of the same women answered similar questions at year 4. We measured serum hormones and calculated free estradiol index, free testosterone index, and ratios of estradiol:progesterone, and estradiol:testosterone. For our model, we calculated the change in frequency of insomnia, depression, and covariates (body mass index, menopause status, hot flashes at night, and present quality of life) from year 1 to 4. Using a BN, we found that self-reported hot flashes at night, and no other factors, were direct predictors of self-reported insomnia in year 1. Surprisingly, we did not identify an association between hormone concentrations and self-reported insomnia. Frequency of insomnia in year 4 was only predicted by frequency of insomnia in year 1, whereas frequency of depression in year 4 was predicted by year 4 insomnia and frequency of depression in year 1. No other factors were direct predictors of insomnia or depression in our model. Therefore, hot flashes at night, previous insomnia, and depression are stronger predictors of how women will self-report frequency of sleep disruptions and treatment may reduce menopausal sleep complaints.
睡眠障碍是绝经期最常见的症状之一,可与抑郁、潮热和激素波动有关。然而,很少有研究以网络为基础的方法来研究这些风险因素如何影响中年女性的睡眠,该方法将建立变量之间的复杂关系。
我们使用贝叶斯网络 (BN) 来研究已知影响中年女性睡眠和抑郁的多个因素之间的关系,包括激素浓度、潮热和参与者的绝经期状态。在第 1 年,762 名女性(45-54 岁)回答了关于失眠、潮热和抑郁频率的问题;其中 389 名女性在第 4 年回答了类似的问题。我们测量了血清激素并计算了游离雌二醇指数、游离睾酮指数以及雌二醇:孕酮和雌二醇:睾酮的比值。对于我们的模型,我们计算了从第 1 年到第 4 年失眠、抑郁和协变量(体重指数、绝经期状态、夜间潮热和当前生活质量)频率的变化。
使用 BN,我们发现夜间自我报告的潮热,而不是其他任何因素,是第 1 年自我报告失眠的直接预测因素。令人惊讶的是,我们没有发现激素浓度与自我报告的失眠之间存在关联。第 4 年的失眠频率仅由第 1 年的失眠频率预测,而第 4 年的抑郁频率则由第 4 年的失眠和第 1 年的抑郁频率预测。在我们的模型中,没有其他因素是失眠或抑郁的直接预测因素。
因此,夜间潮热、先前的失眠和抑郁是女性自我报告睡眠中断频率的更强预测因素,治疗可能会减轻更年期睡眠问题。