A simple risk score based on sleep quality for predicting depressive symptoms in menopausal women: a multicenter...

We aim to establish a simple risk score based on sleep quality for predicting depressive symptoms in menopausal women through a cross-sectional investigation.

A total of 705 Chinese women aged 40-60 years were included in this cross-sectional investigation of a self-report questionnaire from the Physical Examination Center at Shanghai Jiao Tong University Affiliated Sixth People's Hospital. Depressive symptoms and sleep quality were evaluated using self-rating depressive symptom scale (SDS)and the Pittsburgh Sleep Quality Index (PSQI), respectively. After setting up a logistic regression model and computing the odds ratio value, we further calculated and predicted the risk score for depressive symptoms and then established a risk score system. Finally, we validated the risk score in two investigations (Validation 1 and Validation 2).

The risk scoring system for predicting depressive symptoms included a history of cancer, subjective sleep quality, sleep disorder and daytime dysfunction, with total scores ranging from 0-35 points. The receiver operating characteristic (ROC) sample curve was 0.801 (95% CI 0.753-0.848). The Area Under the Curve (AUC) was 0.832 (95% CI 0.738-0.925) in Validation 1 and 0.799 (95%CI 0.667-0.930) in Validation 2. The best cutoff point for depressive symptoms in the sample population was ≥8 points, and the sensitivity and specificity were 0.698 and 0.824, respectively. The sensitivity was 0.775 and 0.667 in Validation 1 and Validation 2, respectively.

The risk score for predicting depressive symptoms in menopausal women based on sleep is convenient. Because there is no complex assessment of multiple scales requiredIt may be a preliminary screening tool for depressive symptoms in menopausal women.