医学
老年学
社会支持
社交网络(社会语言学)
腰围
萧条(经济学)
身体残疾
物理疗法
肥胖
心理学
宏观经济学
经济
法学
社会化媒体
心理治疗师
内科学
政治学
作者
Daniel Eduardo da Cunha Leme,Erika Valeska da Costa Alves,André Fattori
标识
DOI:10.1016/j.jamda.2020.02.005
摘要
Objective Frailty is a multifactorial syndrome characterized by social, physical, and psychological stressors. Network analysis is a graphical statistical technique that can contribute to the understanding of this complex, multifactorial phenomenon. The aim of this study was to investigate the relationships between social, physical, and psychological factors and frailty in older persons. Design A cross-sectional study. Settings and Participants A total of 2588 community-dwelling older persons from the FIBRA (Frailty in Brazilian Older Persons) 2008 to 2009 study. Measures Participants were assessed for sociodemographic variables, physical and mental health, and the frailty phenotype. Partial correlation network analysis with the Graphical Least Absolute Shrinkage and Selection Operator (glasso) estimator was performed to determine the relationships between social, physical, and psychological factors and frailty. Results Mean participant age was 72.31 years, 7.0% were frail, and 50.6% were prefrail. In the network structure, frailty correlated most strongly with physical and psychological factors such as diabetes and depression and exhibited greater proximity to physical factors such as disability, urinary incontinence, and cardiovascular risk as measured by waist-to-hip ratio. Conclusions and Implications The analytical strategy used can provide information for specific subpopulations of interest and here confirmed that frailty is not uniformly determined but associated with different psychological and physical health factors, thereby allowing better understanding and management of this condition.
科研通智能强力驱动
Strongly Powered by AbleSci AI