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Factors associated with active aging in Chinese elderly in rural areas of Xiangtan County,China

Factors associated with active aging in Chinese elderly in rural areas of Xiangtan County, China

作     者:Xue-Lian Fu Jian-Guang Li Yin-Li Su Hong-Hong Wang Yang Guo Li-Qiong Liu Chun-Yan Zeng Xue-Lian Fu;Jian-Guang Li;Yin-Li Su;Hong-Hong Wang;Yang Guo;Li-Qiong Liu;Chun-Yan Zeng

作者机构:Xiangtan Medicine and Health Vocational CollegeXiangtanHunan 411104China School of NursingCentral South UniversityChangshaHunan 410013China 

出 版 物:《Frontiers of Nursing》 (护理前沿(英文))

年 卷 期:2021年第8卷第4期

页      面:407-417页

学科分类:1004[医学-公共卫生与预防医学(可授医学、理学学位)] 100401[医学-流行病与卫生统计学] 10[医学] 

基  金:Hunan Social and Social Science Achievement Review Committee(No.XSP19YBC050) Hunan Provincial Health Commission(No.20200094). 

主  题:elderly active aging rural area 

摘      要:Objectives:To explore the level of active aging and correlates among rural elderly in Xiangtan County,China.Methods:A cross-sectional survey was conducted from July to November 2019.A total of 945 rural elderly from 3 towns in Xiangtan County,China,were investigated by using the positive aging evaluation questionnaire(PAEQ),the activity of daily living scale(ADL),and the depression in old-age scale(DIA-S).Results:The average score in the PAEQ among the rural elderly of Xiangtan County was 72.81(range=21-105).A moderate negative correlation was found between the score in the PAEQ and those in the ADL(r=−0.361)and DIA-S(r=−0.495).Symptoms of depression(β:−0.321,P=0.001),number of chronic diseases(β:−0.281,P=0.001),subjective economic status(β:0.239,P=0.001),ADL(β:−0.196,P=0.001),education(β:0.126,P=0.001),number of children(β:0.097,P=0.001),and marital status(β:−0.060,P=0.001)were significantly associated with levels of active aging in rural elderly,whereas gender and age were not independently related to active aging.Conclusions:The level of active aging is at a moderately high level in the Chinese elderly in rural areas in Xiangtan County.The focus group of active aging in rural areas should be elderly people suffering from chronic diseases,physical decline,poor education and economic conditions,childlessness,and those without partners.

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