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吉林省老年人跌倒发生情况及影响因素:一项2022年横断面调查

Incidence and influencing factors of falls among the elderly in Jilin province: a cross-sectional survey, 2022

  • 摘要:
    目的 了解吉林省老年人跌倒发生情况及其相关影响因素,为制定和实施老年人跌倒预防和控制策略提供科学依据和有效建议。
    方法 于2022年7—12月采用多阶段分层随机抽样方法在吉林省长春市南关区、辽源市西安区、延边州安图县和四平市梨树县4个区(县)中抽取800名≥60岁常住老年人进行问卷调查。并应用多因素非条件logistic回归模型分析该地区老年人跌倒发生的影响因素。
    结果 吉林省800名≥60岁老年人中,近1年内有166人发生跌倒,跌倒发生率为20.75%;多因素非条件logistic回归分析结果显示,吉林省老年人年龄≥80岁(OR=2.555,95%CI=1.390~4.695)、居住在农村(OR=1.685,95%CI=1.048~2.710)、患脑血管病(OR=1.947,95%CI=1.262~3.004)、患慢性阻塞性肺疾病(OR=1.815,95%CI=1.009~3.263)和患骨关节病(OR=1.783,95%CI=1.153~2.759)更易发生跌倒。吉林省老年人经常体育锻炼(OR=0.641,95%CI=0.423~0.970)、自评健康状况一般(OR=0.292,95%CI=0.184~0.464)和好的(OR=0.149,95%CI=0.080~0.276)不易发生跌倒。
    结论 吉林省老年人跌倒发生率较高,年龄、居住地、是否经常体育锻炼、自评健康状况以及是否患脑血管疾病、慢性阻塞性肺疾病、骨关节病是该地区老年人跌倒发生的主要影响因素。

     

    Abstract:
    Objective To investigate the incidence and influencing factors of falls in the elderly of Jilin province and provide a scientific basis for further prevention and control of falls among the elderly.
    Methods From July to December 2022, 800 permanent residents aged ≥ 60 years old were selected by multi-stage stratified random sampling from Nanguan district of Changchun city, Xi′an district of Liaoyuan city, Antu county of Yanbian prefecture, and Lishu county of Siping city in Jilin province. The main influencing factors of falls in the elderly in this area were analyzed by multivariate logistic regression.
    Results  Among the 800 permanent residents aged ≥ 60 years old in Jilin province, 166 fell in the past year, and thus the incidence of falls was 20.75%. The results of multivariate logistic regression showed that age ≥ 80 years old (OR = 2.555, 95%CI: 1.390–4.659), residence in rural areas (OR = 1.685, 95%CI: 1.048–2.710), cerebrovascular disease self-reported (OR = 1.947, 95%CI: 1.262–3.004), chronic obstructive pulmonary disease self-reported (OR = 1.815, 95%CI: 1.009–3.263) and osteoarthritis self-reported (OR = 1.783, 95%CI: 1.153–2.759) were more likely to fall. Those exercising regularly (OR = 0.641, 95%CI: 0.423–0.970), self-assessing general health condition (OR = 0.292, 95%CI: 0.184–0.464) or good health conditions (OR = 0.149, 95%CI: 0.080–0.276) were not likely to fall.
    Conclusion The incidence of falls is high among the elderly in Jilin province. Age, place of residence, regular physical exercise, self-assessment of health status, and whether suffering from cerebrovascular diseases, chronic obstructive pulmonary disease, or osteoarthritis are the main influencing factors of falls among the elderly in this area.

     

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