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石家庄市社区老年人跌倒危险因素分析 被引量:33

Risk factors of falls among community older people in Shijiazhuang city
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摘要 目的了解河北省石家庄市老年人跌倒流行状况及其危险因素,为老年人跌倒预防提供依据。方法采用随机抽样方法,在石家庄市2个基本条件相当的社区抽取1 609名≥60岁老年人进行跌倒危险因素调查。结果被调查的1 609名老年人中,180人在过去1年中发生跌倒,跌倒率为11.2%;多因素logistic回归分析结果表明,女性(OR=1.483)、高龄(OR=1.340)、静态平衡能力下降(OR=1.550)、动态平衡能力下降(OR=1.560)、有跌倒史(OR=10.461)、患有脑血管疾病(OR=2.298)、患有骨质增生(OR=1.996)、连续服药≥3个月(OR=1.604)、马桶旁没有扶手(OR=1.929)、骨质疏松高危人群(OR=1.903)、有骨折病史(OR=2.466)等是老年人跌倒的危险因素。结论石家庄市老年人跌倒是多种因素综合作用的结果,其中有跌倒史的老年人发生跌倒的危险性最高,应采取综合措施预防跌倒。 Objective To investigate the prevalence and risk factors of falls among community older people in Shijiazhuang city and to provide evidences for the prevention of falls. Methods Totally 1 609 older people aged 60 years and over in two communities were selected with random sampling and surveyed with a self-designed questionnaire, Osteoporosis Self-Assessment Tool for Asians(OSTA) and balance test. Results Among the 1 609 participants, 180 reported falls within one year and the incidence of fails was 11.2% ;the results of logistic regression showed that the risk factors for falls included female ( odds ratio E OR = 1. 483 ) , advanced age ( OR = 1. 340 ), decreased ability of statics balance ( OR = 1. 550), decreased ability of dynamic balance ( OR = 1. 560), with fall history ( OR = 10.461 ), suffering from cerebrovascular disease ( OR = 2. 298 ), suffering from hyperstosis ( OR = 1. 996 ), continuous medication for over three months ( OR = 1. 604 ), no handrails next to the toilet( OR = 1. 929 ), at a high risk of osteoporosis ( OR = 1. 903 ), and with the history of fracture ( OR = 2. 466). Conclusion Falls in older people is the outcome of combined effect of multifactors. The risk of falls was higher among persons with fall history. Comprehensive measure should be taken to prevent falls in the older peoole.
出处 《中国公共卫生》 CAS CSCD 北大核心 2014年第12期1589-1591,共3页 Chinese Journal of Public Health
基金 国家"十二五"科技支撑项目(2012BAI10B01) 石家庄市科学技术研究与发展指导计划课题(121461523)
关键词 跌倒 老年人 危险因素 LOGISTIC回归分析 falls the elderly risk factor logistic regression
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