文章摘要
夏玉宝,马 颖,胡 志,陈若陵,张冬梅.我国五省(市)老年人日常生活能力及影响因素分析[J].南京医科大学学报(社会科学版),2017,(2):102~105
我国五省(市)老年人日常生活能力及影响因素分析
Analysis on ability of daily living and its influencing factors among the elderly from five provinces in China
投稿时间:2016-10-20  
DOI:10.7655/NYDXBSS20170205
中文关键词: 老年人  日常生活能力  影响因素
英文关键词: the elderly  ability of daily living  influencing factors
基金项目:安徽省高校自然科学研究项目“被动吸烟与老年期痴呆症关系的巢式病例对照研究”(KJ2013A164)
作者单位
夏玉宝 安徽医科大学卫生管理学院安徽 合肥 230032 
马 颖 安徽医科大学卫生管理学院安徽 合肥 230032 
胡 志 安徽医科大学卫生管理学院安徽 合肥 230032 
陈若陵 安徽医科大学卫生管理学院安徽 合肥 230032 
张冬梅 安徽医科大学卫生管理学院安徽 合肥 230032 
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中文摘要:
      目的:了解我国五省(市)老年人日常生活能力(activity of daily living,ADL)的现状及影响因素。方法:采用整群抽样法,对我国五省(市)城乡社区≥60岁老年居民进行入户调查,使用χ2检验和二元Logistic回归对数据进行分析。结果:调查对象ADL的损害率为8.0%。居住在农村社区(OR=1.90,95%CI:1.51~2.41)、非在婚(OR=1.67,95%CI:1.30~2.13)、低收入(OR=1.77,95%CI:1.06~2.97)、非独居(OR=2.90,95%CI:1.85~4.56)、无兴趣爱好(OR=2.55,95%CI:2.03~3.21)、有负性生活事件(OR=2.23,95%CI:1.76~2.81)、有慢性病(OR=1.28,95%CI:1.02~1.61)、视力障碍(OR=1.54,95%CI:1.20~1.98)、对生活不满意(OR=3.85,95%CI:2.32~6.40)是老年人ADL损害的危险因素。结论:我国五省(市)老年人ADL损害受多种因素影响,政府部门应针对危险因素,制定有针对性的预防和干预措施。
英文摘要:
      Objective:To explore the status of ability of daily living (ADL) and its influencing factors among the elderly from five provinces (cities) in China. Methods:Cluster sampling method was used to choose elderly residents (≥60 years old) from five provinces (cities) in China. Chi-square test and binary logistic regression were used to analyze the data. Results:The damage rate of ADL was 8. 0%. The binary logistic regression indicated that living in rural communities (OR=1. 90,95%CI:1. 51~2. 41),not in marriage (OR=1. 67,95%CI:1. 30~2. 13),low income (OR=1. 77,95%CI:1. 06~2. 97),non-solitary (OR=2. 90,95%CI:1. 85~4. 56),no hobbies (OR=2. 55,95%CI:2. 03~3. 21),negative life events (OR=2. 23,95%CI:1. 76~2. 81),chronic disease (OR=1. 28,95%CI:1. 02~1. 61),visual impairment (OR=1. 54,95%CI:1. 20~1. 98),not satisfied with life (OR=3. 85,95%CI:2. 32~6. 40) were risk factors of ADL. Conclusion:The damage of ADL among the elderly from five provinces (cities) in China is influenced by many factors. Government should focus on the risk factors and provide references for making targeted prevention and intervention measures.
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