Increased Global PSQI Score Is Associated with Depressive Symptoms in an Adult Population from the United States

التفاصيل البيبلوغرافية
العنوان: Increased Global PSQI Score Is Associated with Depressive Symptoms in an Adult Population from the United States
المؤلفون: Ying Huang, Meilan Zhu
المصدر: Nature and Science of Sleep. 12:487-495
بيانات النشر: Informa UK Limited, 2020.
سنة النشر: 2020
مصطلحات موضوعية: business.industry, Cross-sectional study, Adult population, Logistic regression, humanities, Stratified analysis, Pittsburgh Sleep Quality Index, 03 medical and health sciences, Behavioral Neuroscience, 0302 clinical medicine, 030228 respiratory system, Linear regression, Medicine, business, 030217 neurology & neurosurgery, Applied Psychology, Depression (differential diagnoses), Depressive symptoms, Demography
الوصف: Background Although sleep problems are associated with a wide range of mental problems, it remains uncertain whether the global Pittsburgh Sleep Quality Index (PSQI) score is related to depressive symptoms in an adult population. Patients and Methods Data from the Midlife in the United States (MIDUS) study, including a general adult population, were obtained. A total of 1002 individuals (aged 34-84 years) were included in this study. Linear regression and logistic regression analyses were performed to investigate the association between sleep parameters from the PSQI score and depressive symptoms. Results The median age of all participants was 53.0 years old, and 45.2% of them were male. After adjustments were made for sociodemographic characteristics, lifestyle factors, currently diagnosed diseases and inflammatory markers, global PSQI score was significantly associated with depression score in the linear regression model (0.298 [0.207-0.389], P
تدمد: 1179-1608
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::10c686c9fd2f1f9b2ce0861249a1460b
https://doi.org/10.2147/nss.s256625
حقوق: OPEN
رقم الأكسشن: edsair.doi...........10c686c9fd2f1f9b2ce0861249a1460b
قاعدة البيانات: OpenAIRE