基于LASSO回归的失能老年人社会隔离影响因素分析
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女,硕士在读,学生

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安徽省高校自然科学研究重大项目(2023AH040085);安徽医科大学护理学院科研培育项目(hlqm12023003);安徽医科大学护理学院科研培育项目(hlqm12023014)


Influencing factors of social isolation in disabled older adults based on LASSO regression
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    目的 分析失能老年人社会隔离现状及影响因素,为制订失能老年人社会隔离干预方案提供依据。方法 采用多阶段分层整群抽样法,抽取六安市2个社区483名失能老年人,使用Barthel指数评定量表、工具性日常生活能力量表、精简版社会网络量表进行调查,同时收集老年人的个体资料、行为因素及环境因素相关资料。使用LASSO回归筛选变量,对筛选出的变量进行多因素logistic回归分析。结果 失能老年人社会隔离发生率为48.86%。多因素logistic回归分析显示,性别、文化程度、睡眠效率、体力活动水平、居住地是失能老年人社会隔离的影响因素(均P<0.05)。结论 失能老年人社会隔离水平较高,社区护理人员应关注社会隔离风险较高的失能老年人,针对影响因素对失能老年人进行干预,以降低其社会隔离发生率。

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    Objective To analyse the current situation and influencing factors of social isolation in disabled older adults and to provide reference for constructing social isolation intervention of disabled older adults. Methods A total of 483 disabled older adults from two communities in Lu'an were selected by multistage stratified cluster sampling. The Barthel Index ,Instrumental Activities of Daily Living scale and the Lubben Social Network Scale were used to survey.Individual, behavioral and environmental factors of the disabled older adults were collected simultaneously.Variables were filtered by using LASSO regression.Multivariate logistic regression was used to analyse the filtered factors. Results The incidence rate of social isolation among disabled older adults was 48.86%. Multivariate logistic regression analysis showed that gender, education level, sleep efficiency, physical activity level, residence were factors affecting social isolation of disabled older adults (P<0.05 for all). Conclusion Social isolation of disabled older adults was at a higher level. Community nursing workers should pay attention to the disabled older adults with high risk of social isolation, and take intervention according to the influencing factors to reduce the incidence of social isolation in disabled older adults.

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马诗蓓,刘安诺,刘珍,刘开永,盛杰,王取南,王丽,张冬梅,陶芳标.基于LASSO回归的失能老年人社会隔离影响因素分析[J].护理学杂志,2024,39(20):11-15

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  • 收稿日期:2024-05-09
  • 最后修改日期:2024-07-24
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  • 在线发布日期: 2024-11-20