[Incidence, risk factors, and outcomes of falls among elderly in Beijing communities]

Zhonghua Liu Xing Bing Xue Za Zhi. 2025 Jun 10;46(6):994-1002. doi: 10.3760/cma.j.cn112338-20241125-00750.
[Article in Chinese]

Abstract

Objective: To investigate the incidence, risk factors, and outcomes of falls among the elderly community population in Beijing. Methods: A cross-sectional survey was conducted using stratified multistage random sampling to select urban and rural residents aged 65 years and older in Beijing. Mortality data was collected after the baseline survey for 5 years. The incidence of falls was weighted based on the composition ratios of age and gender from the 2010 Nation-wide Population Census of Beijing. A logistic regression model was used to analyze the impacts of demographic sociology of common chronic diseases on fall occurrence. The Cox proportional hazards regression model was used to analyze the fall and 5-year survival association. Results: A total of 2 968 participants completed the questionnaire, at cross-sectional survey, with an average age of (73.2±6.0) years, and 1 581 (53.8%) participants were female. Three hundred and sixty-one individuals experienced a fall within the past year. Among those who fell, 64 (17.7%) fell twice, and 95 (26.6%) fell three or more times. Of them, 14.4% (52) had post-fall fractures, with the wrist, knee, and hip being the most common fracture sites, accounting for 25.0%, 17.3%, and 15.4%, respectively. The weighted fall incidence was 12.4% (95%CI: 11.2%-13.5%). Aging, being female, and living in rural areas were more likely to fall. Logistic regression analysis showed that after adjusting for age, gender, and urban-rural status, the risk of falls for those living alone (OR=1.48, 95%CI: 1.08-2.04) or living with children/grandchildren (OR=1.51, 95%CI: 1.15-1.97) were significantly higher than those living with their spouse. In addition, the risk of falls was elevated significantly among the elderly with hypertension, diabetes, stroke, dementia, depression status, urinary incontinence, arthritis, insomnia, vision, and hearing loss, dependence on activities of daily living (ADL), general and poor self-rated health (SRH). The Cox proportional hazard regression model revealed that the 5-year risk of death increased by 65% (HR=1.65, 95%CI: 1.29-2.11) for those who experienced a fall, which increased with fall frequency. This elevated risk persisted after adjusting for chronic conditions, ADL, and SRH. Conclusions: Ageing, female, living in rural regions, having common chronic diseases, dependence on ADL, general and poor SRH, living alone or living with children/grandchildren were associated with the elevated fall risk. The occurrence of fall was seasonal. The most common short-term adverse consequence after a fall was fractures, while the long-term effect was an increased risk of death.

目的: 分析北京市社区老年人群跌倒的发生情况、影响因素及结局。 方法: 采用多阶段分层随机抽样方法抽取北京市城乡≥65岁社区老年人进行横断面调查,并于该调查后5年随访死亡情况。根据2010年全国人口普查北京市人口的年龄、性别构成比计算加权后跌倒发生率;采用logistic回归模型分析社会人口学、常见老年慢性疾病对跌倒发生的影响。采用Cox比例风险回归模型分析跌倒与5年生存的关联。 结果: 基线共2 968名老年人完成跌倒及相关因素的问卷调查,年龄为(73.2±6.0)岁,女性1 581名(53.8%)。共361名老年人于调查时的既往1年内发生过跌倒,其中64名(17.7%)和95名(26.6%)发生过2次和≥3次跌倒;52名(14.4%)跌倒后发生骨折,骨折部位以腕关节、膝关节和髋关节最为常见,分别占25.0%、17.3%和15.4%。加权后跌倒发生率为12.4%(95%CI:11.2%~13.5%),跌倒发生率随年龄增长而升高,女性高于男性,农村高于城市。Logistic回归模型分析显示,与配偶同住相比,独居(OR=1.48,95%CI:1.08~2.04)或与子女/孙辈居住(OR=1.51,95%CI:1.15~1.97)是老年人跌倒发生的危险因素;高血压、糖尿病、脑卒中、痴呆、抑郁、尿失禁、关节炎、失眠、日常生活自理能力(ADL)依赖、耳聋/听力减退、视力减退、健康自评一般、差/很差均与跌倒风险增加有关,且独立于年龄、性别和城乡。Cox比例风险回归模型分析显示,基线发生跌倒的老年人5年死亡风险增加65%(HR=1.65,95%CI:1.29~2.11),调整混杂因素后,老年人跌倒后死亡风险依然显著增加,且与跌倒发生的次数呈正相关。 结论: 增龄、女性、居住在农村、患常见老年慢性疾病、ADL依赖、健康自评不佳、独居及与子女/孙辈居住是跌倒的危险因素;跌倒后最常见的近期不良后果是骨折,长期影响为死亡风险的增加。.

Publication types

  • English Abstract

MeSH terms

  • Accidental Falls* / statistics & numerical data
  • Aged
  • Aged, 80 and over
  • Beijing / epidemiology
  • China / epidemiology
  • Cross-Sectional Studies
  • Female
  • Humans
  • Incidence
  • Logistic Models
  • Male
  • Proportional Hazards Models
  • Risk Factors
  • Rural Population
  • Surveys and Questionnaires
  • Urban Population