海口市社区老年人的衰弱现状与其影响因素
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(海南医学院国际护理学院, 海口 571199)

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R473

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海南省基础与应用基础研究计划(821RC560);海南省卫生计生行业科研项目(20A200279);海南医学院大学生创新创业基金(X201911810072)


Frailty of the elderly in the communities of Haikou municipality and its influencing factors
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(International Nursing College, Hainan Medical University, Haikou 571199, China)

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    摘要:

    目的 明确海口市老年人衰弱的现状与影响因素,并探讨干预对策。方法 采取方便抽样方法,选取海口市10个社区700例老年人为研究对象,采用基本情况调查表和Fried衰弱表型(FP)进行衰弱筛查,回收有效问卷600份。通过FP将其分为衰弱期及非衰弱期患者。采用SPSS 22.0进行数据分析。组间比较分别采用t检验、Mann-Whitney U检验及 Kruskal-Wallis H检验。采用单因素分析和logistic回归分析衰弱的影响因素。结果 衰弱期患者215例(35.8%),年龄(75.28±6.92)岁,FP(3.48±0.63)分;非衰弱期患者385例(64.2%),年龄(71.99±7.11)岁,FP(1.39±0.70) 分。单因素分析结果显示年龄、婚姻状况、文化程度、家务处理、家庭收入、子女个数、居住状态、就医陪同、辅助工具使用、疾病总数及服药种类是衰弱的影响因素(P<0.05);logistic回归分析显示,除家庭收入外,上述其余因素均为衰弱的影响因素(P<0.05)。结论 海口这一热带城市社区老年人衰弱发生率较高,社区医护工作者应加强衰弱的早期筛查,给予针对性的干预。

    Abstract:

    Objective To investigate the status quo of the frailty of the elderly in Haikou municipality and its influencing factors, and to explore the intervention strategies. Methods By convenient sampling, 700 elderly were selected from 10 communities in Haikou Municipality. The general information questionnaire and the Fried Phenotype (FP) were used for frailty screening, and 600 valid responses were collected. Based on the FP results, the respondents were divided into frail group and non-frail group. SPSS statistics 22.0 was used for statistical analyses. Data comparison between two groups was perfomed using t test, Mann-Whitney U test or Kruskal-Wallis H test depending on date type. Univariate analysis and logistic regression analysis were used to analyze the influencing factors of frailty. Results Of all the respondents, there were 215 cases (35.8%) in frailty group, who were (75.28±6.92) years old, and had FP of (3.48±0.63) points;there were 385 cases (64.2%) in non-frailty group, who were (71.99±7.11) years old, and had FP of (1.39±0.70) points. Univariate analysis showed that age, marital status, educational level, housework, family income, number of children, dwelling state, accompani ment during medical care, use of auxiliary tools, total number of diseases, and types of medication were the influencing factors of frailty(P<0.05). Logistic regression analysis showed that, except the factor of family income, the other factors mentioned above were the influencing factors of frailty(P<0.05). Conclusion Haikou municipality, a tropical city, has a high incidence of frailty among the elderly. Community medical workers should strengthen early screening for frailty and provide targeted interventions.

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黎秀春,毛延芳,潘阿秀,周琳,符秋梦,周文杰,阳晓丽.海口市社区老年人的衰弱现状与其影响因素[J].中华老年多器官疾病杂志,2021,20(11):829~833

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  • 收稿日期:2021-02-28
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  • 在线发布日期: 2021-11-29
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