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应用衰弱指数探索上海市某中心城区50岁及以上社区人群衰弱影响因素

A study of influencing factors of frailty among community residents aged 50 and above in a central urban area of Shanghai city based on frailty index

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【作者】 纪云芳何丽华高淑娜裘凤黔郁橚爽陈博杜娟张艳王烨菁

【Author】 Ji Yunfang;He Lihua;Gao Shu’na;Qiu Fengqian;Yu Xiaoshuang;Chen Bo;Du Juan;Zhang Yan;Wang Yejing;The Centre for Disease Prevention and Control of Huangpu District;

【通讯作者】 高淑娜;

【机构】 上海市黄浦区疾病预防控制中心

【摘要】 目的 应用衰弱指数探索上海市中心城区50岁及以上社区人群的衰弱影响因素。方法 于2018年1—5月在黄浦区采用多阶段随机整群抽样的方法,对社区50岁及以上人群开展横断面调查,采用衰弱指数(frailty index, FI)描述人群衰弱情况,通过Logistic回归分析影响因素情况。结果 单因素Logistic回归结果:以年龄组50~59岁组为参照,除60~69岁组,其他年龄组为危险因素,以未受正规教育/小学未毕业为参照,除小学毕业组,其他各学历组为保护因素,以丧偶组为参照,其他婚姻状态组为保护因素,以睡眠时间正常组为参照,睡眠时间过短和过长均显著增加衰弱发生风险;多因素Logistic回归结果:年龄、学历、婚姻状态与单因素结果一致,但未发现睡眠时间过长是衰弱的影响因素。睡眠时间过短(0~6 h)是危险因素,静坐时间长是危险因素,以上P均<0.05。结论 年龄、学历、睡眠时间和静坐时间可能是影响衰弱的因素。在今后的工作中,在社区人群中有必要开展衰弱的评估,并可适时在特定的社区人群中开展衰弱的健康教育。

【Abstract】 Objective To explore the influencing factors of frailty among community residents aged 50 and above in a central urban area of Shanghai city based on frailty index(FI). Methods From January to May 2018, a multi-stage random whole-cluster sampling method was used to conduct a cross-sectional survey among the community residents aged 50 and above in Huangpu District. FI was used to describe the frailty condition of the residents. Logistics regression was used to analyze the influencing factors for frailty. Results Univariate logistic regression results: Taking the 50--59 years old group as a reference, except 60--69 years old group, other age groups were risk factors; taking the group without formal education/no graduation from primary school as a reference, except primary school graduation group, all other educational groups were protective factors; taking the widowed group as a reference, other marital status groups were protective factors; compared with the normal sleep time group, both shorter and longer sleep times significantly increased the risk of frailty. Multivariate logistic regression results: Age, educational level and marital status were consistent with the results of univariate factors, but longer sleep was not found to be a risk factor for frailty. Too short sleep time(0~ 6 h) was a risk factor, and long sedentary time was a risk factor(all P<0.05). Conclusion Age, education level, sleeping time and sedentary time may be factors that affect frailty. In future work, it is necessary to carry out frailty assessment in community populations, and health education on frailty in specific community populations should be carried out in due course.

【基金】 上海市黄浦区卫健委菁英人才培养项目(2021JY02);上海市黄浦区卫生健康系统专业人才梯队建设项目计划--拔尖人才培养(2023BJ06)
  • 【文献出处】 老年医学与保健 ,Geriatrics & Health Care , 编辑部邮箱 ,2024年05期
  • 【分类号】R592
  • 【下载频次】28
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