中国60~79岁老年人跌倒风险现状与相关因素分析:基于2024年全国横断面监测数据

Current Status and Correlated Factors of Fall Risk Among Chinese Elderly Aged 60-79:A 2024 Nationwide Cross-Sectional Analysis

  • 摘要:
    目的 探究中国老年人跌倒风险现况及其相关因素,揭示城乡、地域、个体体质健康水平与社会心理因素在中国老年人跌倒中的作用,从而为制定差异化跌倒预防策略提供科学依据。
    方法 基于2024年全国常态化国民体质监测数据,采用多阶段分层抽样法纳入中国社区60~79岁老年人。通过跌倒风险自评量表(self-rated fall risk questionnaire)中文版识别跌倒高风险人群,并通过问卷调查与客观测量获取人口学特征、体质水平及心理学指标。采用以省份为随机效应的广义线性混合模型(general liner mixed model, GLMM)分析跌倒风险的相关因素。
    结果 共入选符合纳入和排除标准的60~79岁老年人7000名,其中男性3095人(44.2%),女性3905人(55.8%);年龄为60~64岁组2124人(30.3%),65~69岁组2014人(28.8%),70~74岁组1660人(23.7%),75~79岁组1202人(17.2%);来自乡村地区4090人(58.4%),城镇地区2910人(41.6%)。检出跌倒高风险人群733人(10.5%,733/7000),其中女性(10.9%)、城镇(11.5%)及高龄组(75~79岁:12.4%)跌倒高风险人群检出率较高。GLMM随机截距逻辑回归显示,年龄增高(OR=1.14, 95% CI: 1.02~1.26)、居住地为城镇(OR=1.14, 95% CI: 1.03~1.27)、无伴侣共同生活(OR=1.97, 95% CI:1.43~2.73)、2 min原地高抬腿次数增加(OR=1.17, 95% CI: 1.06~1.30)与跌倒风险增加相关,睡眠质量改善(OR=0.75,95% CI: 0.67~0.82)、握力增加(OR=0.85, 95% CI: 0.73~0.98)、生活满意度改善(OR=0.69, 95% CI: 0.62~0.76)、锻炼频率增加(OR=0.92,95% CI:0.88~0.96)、规律参加闲暇高强度身体活动(OR=0.62,95% CI:0.45~0.84)与跌倒风险降低相关。
    结论 中国社区60~79岁老年人整体跌倒高风险检出率为10.5%,且跌倒风险与肌肉力量、运动模式、睡眠质量及社会支持等多种因素相关;增强握力、规律锻炼、参与高强度闲暇活动、改善睡眠质量、伴侣提供支持及提升生活满意度或可显著降低其跌倒风险。

     

    Abstract:
    Objective To investigate the prevalence and associated factors of fall risk among Chinese older adults, and to examine the roles of urban-rural differences, regional disparities, physical health status, and psychosocial factors in falls among this population, thereby providing evidence for tailored fall prevention strategies.
    Methods Using data from the 2024 National Routine Physical Fitness Surveillance, a multi-stage stratified sampling method was employed to recruit community-dwelling older adults aged 60-79 years across China. High fall-risk individuals were identified using the Chinese version of the self-rated fall risk questionnaire, while demographic, physical health, and psychological indicators were collected via questionnaires and objective measurements. A generalized linear mixed model (GLMM) with province as a random effect was used to analyze fall risk factors.
    Results Among 7000 eligible participants (male: 44.2%, female: 55.8%), the sample comprised 2124 (60-64 years), 2014 (65-69 years), 1660 (70-74 years), and 1202 (75-79 years) individuals, with 58.4% from rural and 41.6% from urban areas. A total of 733(10.5%) were identified as high fall-risk, with higher prevalence among females (10.9%), urban residents (11.5%), and the oldest age group (75-79 years: 12.4%). GLMM random-intercept logistic regression revealed that advanced age (OR=1.14, 95% CI: 1.02-1.26), urban residence (OR=1.14, 95% CI: 1.03-1.27), living without a partner (OR=1.97, 95% CI: 1.43-2.73), and increased 2-minute step test performance (OR=1.17, 95% CI: 1.06-1.30) were associated with elevated fall risk. Conversely, improved sleep quality (OR=0.75, 95% CI: 0.67-0.82), greater grip strength (OR=0.85, 95% CI: 0.73-0.98), higher life satisfaction (OR=0.69, 95% CI: 0.62-0.76), increased exercise frequency (OR=0.92, 95% CI: 0.88-0.96), and regular participation in high-intensity leisure-time physical activity (OR=0.62, 95% CI: 0.45-0.84) were protective factors.
    Conclusions The prevalence of high fall risk among Chinese community-dwelling older adults aged 60-79 years is 10.5%. Fall risk demonstrates significant associations with multiple factors including muscle strength, movement patterns, sleep quality, and social support. Strategies enhancing grip strength, promoting regular exercise and high-intensity leisure activities, improving sleep quality, fostering spousal support, and boosting life satisfaction may substantially reduce fall risk in this population.

     

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