Salinas-Rodríguez Aarón, Rivera-Almaraz Ana, Scott Ashley, Manrique-Espinoza Betty
Center for Evaluation Research and Surveys, National Institute of Public Health, Cuernavaca, Mexico.
Division of Chronic Disease Prevention and Control, Boston Public Health Commission, Boston, MA, United States.
Front Med (Lausanne). 2020 Oct 15;7:562963. doi: 10.3389/fmed.2020.562963. eCollection 2020.
Recent studies suggest the importance of distinguishing the severity levels of disability in the older adult population. However, there is still no consensus regarding an optimal classification. Few studies have estimated the prevalence of severe disability, and the results have been confined to high-income countries. There is no evidence for low- and middle-income countries (LMICs). Therefore, the aim of this study was to provide estimates of the levels of severity associated with disability in older adult populations in LMICs and to examine their relationship with health and socioeconomic factors. We used data from the Study on global AGEing and adult health (SAGE), wave 1 (2007-2010). Nationally representative samples of adults over 50 years from China, Ghana, India, Mexico, Russian Federation, and South Africa were analyzed ( = 33,641). We measured disability using the World Health Organization Disability Assessment Instrument version 2.0 (WHODAS 2.0). Disability levels according to severity were identified through the use of latent class analysis. Socioeconomic and health factors associated with severe disability were estimated using ordinal logistic regression models. We identified four groups of older adult: (1) without disability, 43.4%; (2) mild disability, 33.3%; (3) moderate disability, 15.3%; and (4) severe disability, 8.0%. These results were heterogeneous for the six countries analyzed. Education and socioeconomic status were significantly associated with severe disability along with the following chronic conditions: angina, arthritis, asthma, cataracts, chronic obstructive pulmonary disease, depression, diabetes, and stroke. Severe disability was also associated with the frailty status, sarcopenia, and mild cognitive impairment. In this study, we estimated severity levels of disability for the older adult population in LMICs. Our results show that severe disability affects 8% of older adult, and that there are important socioeconomic and health factors associated with this condition. Measuring the severity of disability is a critical element to study the causes and consequences of aging. Moreover, the identification of older adult with severe disability is vital to design prevention programs, modify interventions, or develop enabling environments.
近期研究表明区分老年人群体中残疾严重程度的重要性。然而,关于最佳分类仍未达成共识。很少有研究估计重度残疾的患病率,且结果仅限于高收入国家。低收入和中等收入国家(LMICs)尚无相关证据。因此,本研究的目的是提供LMICs老年人群体中与残疾相关的严重程度估计,并研究其与健康和社会经济因素的关系。我们使用了全球老龄化与成人健康研究(SAGE)第一波(2007 - 2010年)的数据。对来自中国、加纳、印度、墨西哥、俄罗斯联邦和南非的50岁以上成年人的全国代表性样本进行了分析(n = 33,641)。我们使用世界卫生组织残疾评估工具2.0版(WHODAS 2.0)来测量残疾情况。通过潜在类别分析确定了根据严重程度划分的残疾水平。使用有序逻辑回归模型估计与重度残疾相关的社会经济和健康因素。我们确定了四类老年人群体:(1)无残疾,43.4%;(2)轻度残疾,33.3%;(3)中度残疾,15.3%;(4)重度残疾,8.0%。这些结果在分析的六个国家中存在差异。教育和社会经济地位与重度残疾显著相关,同时还与以下慢性疾病相关:心绞痛、关节炎、哮喘、白内障、慢性阻塞性肺疾病、抑郁症、糖尿病和中风。重度残疾还与虚弱状态、肌肉减少症和轻度认知障碍有关。在本研究中,我们估计了LMICs老年人群体的残疾严重程度。我们的结果表明,重度残疾影响8%的老年人,并且存在与这种情况相关的重要社会经济和健康因素。测量残疾严重程度是研究衰老原因和后果的关键要素。此外,识别重度残疾的老年人对于设计预防项目、调整干预措施或营造有利环境至关重要。