International Institute for Population Sciences, Mumbai, Maharashtra, India.
International Institute for Population Sciences, Mumbai, Maharashtra, India
BMJ Open. 2022 Mar 28;12(3):e053953. doi: 10.1136/bmjopen-2021-053953.
This study examines the prevalence, patterns and factors of chronic disease-related multimorbidity. Also, this study examines the inequality in the prevalence of multimorbidity among older adults in India.
Cross-sectional study; large nationally representative survey data.
We have used the first wave of a Longitudinal Ageing Study in India conducted in 2017-2018 across all the 35 states (excluded Sikkim) and union territories in India. This study used information from 31 373 older people aged 60+years in India.
The outcome variable for this study is multimorbidity. The study used multinomial logistic regression to examine the risk factors for multimorbidity among older adults. To measure the inequality in multimorbidity, the slope of index inequality and relative index of inequality have been used to understand the ranked-based inequality.
Almost one-fourth (24.1%) reported multimorbidity. The relative risk ratio (RRR) of multimorbidity (RRR=2.12; 95% CI=1.49 to 3.04) was higher among higher educated older adults than uneducated older adults. Furthermore, the RRR of multimorbidity (RRR=2.35; 95% CI=2.02 to 2.74) was higher among urban older adults than their rural counterparts. Older adults in the richest wealth quintile were more likely to report multimorbidities (RRR=2.86; 95% CI=2.29 to 3.55) than the poorest older adults. Good self-rated health and no activities of daily living disability were associated with a lower risk of multimorbidities.
This study contributes to the comprehensive knowledge of the prevalence, factors and inequality of the chronic disease-related multimorbidity among older adults in India. Considering India's ageing population and high prevalence of multimorbidity, the older adults must be preferred in disease prevention and health programmes, however, without compromising other subpopulations in the country. There is a need to develop geriatric healthcare services in India. Additionally, there is a need to disseminate awareness and management of multimorbidity among urban and highly educated older adults.
本研究旨在调查与慢性病相关的多种疾病的流行情况、模式和影响因素。此外,本研究还调查了印度老年人中多种疾病流行的不平等现象。
横断面研究;大型全国代表性调查数据。
我们使用了 2017-2018 年在印度各地(不包括锡金邦)进行的印度纵向老龄化研究的第一波数据,调查对象为 31373 名 60 岁以上的老年人。
本研究的结果变量为多种疾病。研究采用多变量逻辑回归分析方法,调查了老年人多种疾病的风险因素。为了衡量多种疾病的不平等程度,本研究采用斜率不平等指数和相对不平等指数来衡量基于排名的不平等程度。
近四分之一(24.1%)的老年人报告患有多种疾病。与未受教育的老年人相比,受过高等教育的老年人患多种疾病的相对风险比(RRR)更高(RRR=2.12;95%可信区间[CI]:1.49 至 3.04)。此外,与农村老年人相比,城市老年人患多种疾病的 RRR 更高(RRR=2.35;95%CI:2.02 至 2.74)。最富裕的五分之一老年人比最贫穷的老年人更有可能报告患有多种疾病(RRR=2.86;95%CI:2.29 至 3.55)。自我报告的健康状况良好且没有日常生活活动障碍与较低的多种疾病风险相关。
本研究有助于全面了解印度老年人与慢性病相关的多种疾病的流行情况、影响因素和不平等现象。考虑到印度人口老龄化和多种疾病的高患病率,必须在疾病预防和健康计划中优先考虑老年人,但不能损害该国其他亚群的利益。印度需要发展老年保健服务。此外,需要在城市和受过高等教育的老年人中普及多种疾病的认识和管理。