Frontiers in endocrinology · 2026
Statistical mediation by sleep quality in the association between menopausal symptoms and depressive symptoms in peri- and postmenopausal women: a multicenter cross-sectional study.
СтатьяМногоцентровое исследованиеНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Guo Zhiling, Yang Dongjian, Wang Xiaoyi, Zuo Shenglan, Liu Danqi, Song Mengfan, Jin Furui
Аннотация
OBJECTIVE: This study aimed to examine the associations among menopausal symptoms, depressive symptoms, and sleep quality in peri- and postmenopausal women, with particular attention to the indirect statistical association through sleep quality.
METHODS: A multicenter cross-sectional study including 2,330 peri- and postmenopausal women was conducted. Menopausal symptoms were assessed using the Kupperman Menopausal Index (KMI), depressive symptoms using the Patient Health Questionnaire-9 (PHQ-9), and sleep quality using the Pittsburgh Sleep Quality Index (PSQI). Multivariable logistic regression and bootstrap-based statistical mediation models were applied to quantify associations and indirect effects.
RESULTS: Depressive symptoms (PHQ-9 ≥5) were observed in 34.0% of participants. Increasing severity of menopausal symptoms was significantly associated with both depressive symptoms and poor sleep quality (P<0.001). Poor sleep quality (PSQI >5) was strongly associated with depressive symptoms (odds ratio [OR]=4.48, 95% confidence interval [CI]: 3.72-5.40). Statistical mediation analysis indicated significant indirect associations through sleep quality, with proportions statistically mediated ranging from 17.08% to 63.39% and the largest proportion observed for hot flashes and sweating.
CONCLUSION: Sleep quality statistically accounted for part of the observed association between menopausal symptoms and depressive symptoms. These findings support incorporating sleep assessment into menopause care and provide a rationale for prospective studies evaluating temporal relationships and the potential value of sleep-focused interventions.
METHODS: A multicenter cross-sectional study including 2,330 peri- and postmenopausal women was conducted. Menopausal symptoms were assessed using the Kupperman Menopausal Index (KMI), depressive symptoms using the Patient Health Questionnaire-9 (PHQ-9), and sleep quality using the Pittsburgh Sleep Quality Index (PSQI). Multivariable logistic regression and bootstrap-based statistical mediation models were applied to quantify associations and indirect effects.
RESULTS: Depressive symptoms (PHQ-9 ≥5) were observed in 34.0% of participants. Increasing severity of menopausal symptoms was significantly associated with both depressive symptoms and poor sleep quality (P<0.001). Poor sleep quality (PSQI >5) was strongly associated with depressive symptoms (odds ratio [OR]=4.48, 95% confidence interval [CI]: 3.72-5.40). Statistical mediation analysis indicated significant indirect associations through sleep quality, with proportions statistically mediated ranging from 17.08% to 63.39% and the largest proportion observed for hot flashes and sweating.
CONCLUSION: Sleep quality statistically accounted for part of the observed association between menopausal symptoms and depressive symptoms. These findings support incorporating sleep assessment into menopause care and provide a rationale for prospective studies evaluating temporal relationships and the potential value of sleep-focused interventions.