Department of Mathematical Demography and Statistics, International Institute for Population Sciences, Mumbai, Maharashtra, India.
Department of Public Health and Mortality Studies, International Institute for Population Sciences, Mumbai, Maharashtra, India.
BMJ Open. 2021 May 21;11(5):e050245. doi: 10.1136/bmjopen-2021-050245.
To explore the associations between obesity-related measures and multimorbidity among older Indian adults and the interactive effects of physical activity in those associations.
A cross-sectional study was conducted using large representative survey data.
The present study used data from the Longitudinal Aging Study in India (LASI) conducted during 2017-2018. Participants included 15 098 male and 16 366 female older adults aged 60 years and above in India.
The outcome variable was multimorbidity among older adults coded as no and yes. Descriptive statistics along with bivariate analysis are presented in the paper. Additionally, binary logistic regression analysis was used to fulfil the study objectives.
About 24% of older adults in the LASI cohort suffered from multimorbidity. Older adults who were overweight/obese (adjusted OR (AOR): 1.61, CI 1.48 to 1.74), had high-risk waist circumference (AOR: 1.66, CI 1.52 to 1.80) and had high-risk waist to hip ratio (AOR: 1.45, CI 1.33 to 1.59) were significantly more likely to suffer from multimorbidity compared with their counterparts. Older adults who were obese and physically inactive had significantly increased odds of suffering from multimorbidity compared with older adults who were obese and physically active. Similarly, older adults with high-risk waist circumference (AOR: 1.30, CI 1.11 to 1.53) and high-risk waist to hip ratio (AOR: 1.32, CI 1.20 to 1.46) along with being physically inactive had significantly higher odds of suffering from multimorbidity in comparison with older adults with high-risk waist circumference and waist to hip ratio along with being physically active.
While developing health strategies for older adults, physical activity needs to be recognised as a way of minimising comorbidities. Further, the study highlights the importance of using multiple obesity-related measures to predict chronic conditions in the older population.
探讨印度老年人群中与肥胖相关的指标与多种疾病之间的关联，以及身体活动在这些关联中的交互作用。
本研究使用大型代表性调查数据进行横断面研究。
本研究使用了印度纵向老龄化研究（LASI）在 2017-2018 年期间的数据。参与者包括印度 60 岁及以上的 15098 名男性和 16366 名女性老年人。
老年人的多种疾病是本研究的因变量，编码为“否”和“是”。论文中呈现了描述性统计数据和双变量分析。此外，还使用二元逻辑回归分析来实现研究目标。
LASI 队列中有 24%的老年人患有多种疾病。与体重正常的老年人相比，超重/肥胖的老年人（调整后的比值比（AOR）：1.61，95%置信区间[CI]：1.48 至 1.74）、腰围处于高风险水平的老年人（AOR：1.66，CI：1.52 至 1.80）和腰臀比处于高风险水平的老年人（AOR：1.45，CI：1.33 至 1.59）更有可能患有多种疾病。与肥胖且身体活跃的老年人相比，肥胖且身体不活跃的老年人患有多种疾病的几率显著增加。同样，与腰围和腰臀比处于高风险水平且身体活跃的老年人相比，腰围处于高风险水平（AOR：1.30，CI：1.11 至 1.53）和腰臀比处于高风险水平（AOR：1.32，CI：1.20 至 1.46）且身体不活跃的老年人患有多种疾病的几率显著更高。
在为老年人制定健康策略时，需要认识到身体活动是减少多种疾病的一种方式。此外，该研究强调了使用多种肥胖相关指标来预测老年人群慢性疾病的重要性。
