Association of depression and sleep quality with frailty

A cross-sectional study in China

Dados Bibliográficos

ID22076190
AutoresYue Zhang (0000-0003-1198-882X, Jilin University), Ge Yu (0000-0002-0891-2501, Jilin University), Wei Bai (0000-0002-4456-4532, Jilin University), Songyu Wu (Jilin University), Xiaohan Geng (Jilin University), Wangyi Zhang (Jilin University), Yihang Liu (0000-0001-8122-832X, Jilin University), Yujiao Meng (0000-0002-7870-939X, Jilin University), Junling Gao (0000-0002-0694-2010, Fudan University), Wenjun Li (0000-0002-5612-8543, Jilin University, autor correspondente), Changgui Kou (0000-0001-9544-4066, Jilin University, autor correspondente)
Ano2024
Volume12
Páginas1361745-1361745
Data de publicação2024-04-05
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoFrontiers in Public Health (JOURNAL)
Identificadores do periódicoISSN: 2296-2565 • E-ISSN: 2296-2565
EditoraFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2024.1361745
PMID38645453
OpenAlexW4393986915
IdiomaEN
Citações recebidas3
Referências citadas75

Background With the rapid growth of global aging, frailty has become a serious public health burden, affecting the life quality of older adults. Depressive symptoms (depression hereafter) and sleep quality are associated with frailty, but the pathways in which sleep quality and depression affect frailty remain unclear. Method This cross-sectional study included 1866 community-dwelling older adults. Demographic characteristics and health-related data of them was collected, and we also assessed frailty, depression, and sleep quality. Descriptive statistics were carried out and ordinal logistic regression analysis was used to identify the factors correlated with frailty. Spearman correlation analysis and mediation analysis were employed to assess associations between sleep quality, depression and frailty. Two-sided p < 0.05 was considered as significant. Results The results showed that 4.1% older adults were frail and 31.0% were pre-frail. Ordinal logistic regression showed that age, consumptions of vegetables, exercise, sleep quality, depression, number of chronic diseases, chronic pain, and self-rated health were correlated with frailty. Spearman correlation analysis revealed that frailty was associated with depression and sleep quality. There was a mediation effect that sleep quality was a significant and positive predictor of frailty (total effect = 0.0545, 95% boot CI = 0.0449–0.0641), and depression was a mediator between sleep quality and frailty (mediation effect = 60.4%). Conclusion Depression and poor sleep quality may be early indicators of frailty in older adults. Improving the sleep quality and psychological state of older adults can improve frailty, which is beneficial for healthy aging

Cross-sectional study · Logistic regression · Mediation · Ordered logit · Aging and Gerontology Research · Aging, Health, and Disability · Frailty in Older Adults · Medicine · Psychology · Gerontology · Internal Medicine