Kalula Sebastiana Zimba, Ferreira Monica, Swingler George H, Badri Motasim
Division of Geriatric Medicine, The Albertina and Walter Sisulu Institute of Ageing in Africa, University of Cape Town, Cape Town, South Africa.
International Longevity Centre South Africa, Institute of Ageing in Africa, Department of Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
BMC Geriatr. 2016 Feb 24;16:51. doi: 10.1186/s12877-016-0212-7.
Studies on falls in older adults have mainly been conducted in high income countries. Scant, if any, information exists on risk factors for falls in the older population of sub-Saharan African countries.
A cross-sectional survey and a 12-month follow-up study were conducted to determine risk factors for falls in a representative multi-ethnic sample of 837 randomly selected ambulant community-dwelling subjects aged ≥65 years in three suburbs of Cape Town, South Africa. Logistic regression models were fitted to determine the association between (1) falls and (2) recurrent falls occurring during follow-up and their potential socio-demographic, self-reported medical conditions and physical assessment predictors.
Prevalence rates of 26.4 % for falls and 11 % for recurrent falls at baseline and 21.9 % for falls and 6.3 % for recurrent falls during follow-up. In both prospective analyses of falls and recurrent falls, history of previous falls, dizziness/vertigo, ethnicity (white or mixed ancestry vs black African) were significant predictors. However, poor cognitive score was a significant predictor in the falls analysis, and marital status (unmarried vs married) and increased time to perform the timed Up and Go test in the recurrent fall analysis but not in both. Other than the timed Up and Go test in recurrent falls analysis, physical assessment test outcomes were not significant predictors of falls.
Our study provides simple criteria based on demographic characteristics, medical and physical assessments to identify older persons at increased risk of falls. History taking remains an important part of medical practice in the determination of a risk of falls in older patients. Physical assessment using tools validated in developed country populations may not produce results needed to predict a risk of falls in a different setting.
关于老年人跌倒的研究主要在高收入国家开展。撒哈拉以南非洲国家老年人口跌倒风险因素的信息即便有也极为稀少。
开展了一项横断面调查和一项为期12个月的随访研究,以确定南非开普敦三个郊区837名年龄≥65岁、随机选取的能独立行走的社区居住者组成的具有代表性的多民族样本中跌倒的风险因素。采用逻辑回归模型来确定(1)跌倒与(2)随访期间发生的反复跌倒与潜在社会人口统计学、自我报告的医疗状况及身体评估预测因素之间的关联。
基线时跌倒患病率为26.4%,反复跌倒患病率为11%;随访期间跌倒患病率为21.9%,反复跌倒患病率为6.3%。在对跌倒和反复跌倒的前瞻性分析中,既往跌倒史、头晕/眩晕、种族(白人或混血血统与非洲黑人)均为显著预测因素。然而,认知评分低在跌倒分析中是显著预测因素,婚姻状况(未婚与已婚)以及在反复跌倒分析中完成计时起立行走测试时间增加是显著预测因素,但并非在两种分析中均如此。除了反复跌倒分析中的计时起立行走测试外,身体评估测试结果并非跌倒的显著预测因素。
我们的研究基于人口统计学特征、医疗和身体评估提供了简单标准,以识别跌倒风险增加的老年人。在确定老年患者跌倒风险时,病史采集仍是医疗实践的重要组成部分。使用在发达国家人群中验证过的工具进行身体评估,可能无法得出在不同环境中预测跌倒风险所需的结果。