Associations of self-neglect with quality of life in older people in rural China: a cross-sectional study

生活质量(医疗保健) 忽视 横断面研究 老年学 多级模型 社会支持 萧条(经济学) 中国 公共卫生 生活满意度 心理学 医学 日常生活活动 精神科 护理部 病理 机器学习 计算机科学 政治学 法学 经济 心理治疗师 宏观经济学
作者
Yuanyuan Zhao,Caiyun Hu,Fang Feng,Feng‐Feng Gong,Shanshan Lu,Zhenzhong Qian,Yehuan Sun
出处
期刊:International Psychogeriatrics [Cambridge University Press]
卷期号:29 (6): 1015-1026 被引量:34
标识
DOI:10.1017/s1041610217000229
摘要

Elder self-neglect (ESN) has become a public health issue globally. Limited studies have focused on ESN, as well as the relationship between ESN and quality of life (QoL) in developing countries. The study's objective is to explore the association between ESN and QoL among rural elderly in China.A cross-sectional study was conducted among 3,182 elder adults aged 60 years or older, using a cluster-sampling technique in one township in Dangtu, a county in Anhui province. All participants completed face-to-face interview in their household. QoL was assessed using a brief form of the World Health Organization's quality of life questionnaire (WHOQOL-BREF), and ESN was assessed using the Scale of the Elderly Self-neglect (SESN). Hierarchical linear regression models were used to analyze the associations between the ESN scores and QoL scores after adjusting for sociodemographic, social support, and physical and psychological variables.The scores of overall ESN and five domains were significantly correlated with the scores of four QoL domains (p < 0.001). After adjusting for sociodemographic characteristics, social support, and physical and psychological health characteristics, elders who reported higher overall self-neglect scores had significantly lower scores in the four QoL domains (p < 0.001). Education, economic level, physical health, ADL, depression, and cognitive function are consistent predictors across all QoL domains.ESN is an independent risk factor for poor QoL in elderly people in rural China. Understanding the role of ESN and its influence on QoL is important for the management of and intervention in ESN.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
清秀语儿发布了新的文献求助10
1秒前
自由白风发布了新的文献求助10
2秒前
CXH完成签到,获得积分10
6秒前
寻空完成签到,获得积分10
8秒前
CodeCraft应助多啦啦采纳,获得10
9秒前
WilliamYuan应助hnxxangel采纳,获得10
9秒前
Eric完成签到,获得积分10
9秒前
海蓝云天应助光华依旧采纳,获得10
14秒前
团团完成签到,获得积分10
14秒前
14秒前
14秒前
chemstation完成签到,获得积分10
15秒前
渡安完成签到 ,获得积分10
16秒前
脑壳疼完成签到,获得积分10
16秒前
康宁应助haha采纳,获得10
17秒前
19秒前
19秒前
WilliamYuan应助hnxxangel采纳,获得10
20秒前
zzz完成签到 ,获得积分10
20秒前
爆米花应助hnxxangel采纳,获得10
20秒前
大力的灵雁应助Shang采纳,获得60
20秒前
Czision应助Adelinelili采纳,获得10
21秒前
lchen发布了新的文献求助10
22秒前
22秒前
23秒前
25秒前
852应助嘟嘟图图采纳,获得10
25秒前
科研通AI2S应助仙女采纳,获得10
27秒前
ZZ完成签到,获得积分10
29秒前
ww发布了新的文献求助10
31秒前
31秒前
BAIBAI完成签到,获得积分10
32秒前
32秒前
传奇3应助光华依旧采纳,获得30
32秒前
34秒前
35秒前
七七完成签到,获得积分10
36秒前
WilliamYuan应助阿媛呐采纳,获得10
36秒前
自由白风完成签到,获得积分20
36秒前
37秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
信任代码:AI 时代的传播重构 450
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6357186
求助须知:如何正确求助?哪些是违规求助? 8171852
关于积分的说明 17206020
捐赠科研通 5412837
什么是DOI,文献DOI怎么找? 2864794
邀请新用户注册赠送积分活动 1842233
关于科研通互助平台的介绍 1690490