Hosseinpoor Ahmad Reza, Bergen Nicole, Kostanjsek Nenad, Kowal Paul, Officer Alana, Chatterji Somnath
Department of Health Statistics and Information Systems, World Health Organization, 20, Avenue Appia, 1211, Geneva 27, Switzerland.
Department of Ageing and Life Course, World Health Organization, 20, Avenue Appia, 1211, Geneva 27, Switzerland.
Int J Public Health. 2016 Apr;61(3):337-45. doi: 10.1007/s00038-015-0742-3. Epub 2015 Nov 4.
Our objective was to quantify disability prevalence among older adults of low- and middle-income countries, and measure socio-demographic distribution of disability.
World Health Survey data included 53,447 adults aged 50 or older from 43 low- and middle-income countries. Disability was a binary classification, based on a composite score derived from self-reported functional difficulties. Socio-demographic variables included sex, age, marital status, area of residence, education level, and household economic status. A multivariate Poisson regression model with robust variance was used to assess associations between disability and socio-demographic variables.
Overall, 33.3 % (95 % CI 32.2-34.4 %) of older adults reported disability. Disability was 1.5 times more common in females, and was positively associated with increasing age. Divorced/separated/widowed respondents reported higher disability rates in all but one study country, and education and wealth levels were inversely associated with disability rates. Urban residence tended to be advantageous over rural. Country-level datasets showed disparate patterns.
Effective approaches aimed at disability prevention and improved disability management are warranted, including the inclusion of equity considerations in monitoring and evaluation activities.
我们的目的是量化低收入和中等收入国家老年人的残疾患病率,并衡量残疾的社会人口分布情况。
世界卫生调查数据包括来自43个低收入和中等收入国家的53447名50岁及以上的成年人。残疾是一种二元分类,基于自我报告的功能困难得出的综合评分。社会人口变量包括性别、年龄、婚姻状况、居住地区、教育水平和家庭经济状况。使用具有稳健方差的多元泊松回归模型来评估残疾与社会人口变量之间的关联。
总体而言,33.3%(95%置信区间32.2 - 34.4%)的老年人报告有残疾。残疾在女性中更为常见,是男性的1.5倍,并且与年龄增长呈正相关。除一个研究国家外,离婚/分居/丧偶的受访者在所有国家报告的残疾率都更高,教育和财富水平与残疾率呈负相关。城市居住往往比农村更具优势。国家层面的数据集显示出不同的模式。
有必要采取有效的残疾预防和改善残疾管理方法,包括在监测和评估活动中纳入公平性考量。