老年学
医学
认知
人体测量学
虚弱指数
婚姻状况
队列
认知功能衰退
队列研究
疾病
痴呆
人口
精神科
环境卫生
病理
内科学
作者
Maryam Chehrehgosha,Ali Sharifi,Amir Mohammad Meftah,Hassan Maleki,Sayed Mahmoud Sajjadi‐Jazi,Hadi Baharifar,Kamyar Khoshnevisan,Farshad Sharifi
出处
期刊:Maturitas
[Elsevier]
日期:2024-03-01
卷期号:181: 107905-107905
被引量:1
标识
DOI:10.1016/j.maturitas.2023.107905
摘要
Complex interrelationships may exist among different types of frailty. This study aimed to evaluate the demographic and biological factors that influence the different types of frailty in community-dwelling older adults in Iran through a cross-sectional analysis of data obtained from the Birjand Longitudinal Aging Study. This study is an ongoing cohort study of people aged 60 years and over and employed a multistage stratified cluster random sampling. Anthropometric measures were obtained by nurses. The "Fried frailty phenotype" was defined as physical frailty. Cognitive frailty was assessed using the Mini-Mental State Examination. Social frailty was evaluated by some questions, and psychological frailty was assessed using a patient health questionnaire. Blood samples were taken after overnight fasting. All statistical analyses were performed using Stata12 (Texas, USA) and Python. Some type of frailty had been experienced by 62.27 % of the older adults. Cognitive frailty was the dominant type of frailty (55.69 %). Based on multivariate regression analysis, age, sex, education, and marital status were the influencing factors in all types of frailty. Network analysis revealed that physical, cognitive, psychological, and social frailty had synergistic effects on each other, and age and sex had dominant interactions with frailty types. Cognitive frailty was dominant compared with other types of frailty, indicating the need to detect cognitive frailty at the earliest stage and to implement an appropriate program to manage cognitive frailty in older adults.
科研通智能强力驱动
Strongly Powered by AbleSci AI