International Institute for Population Sciences, Mumbai, Maharashtra, 400088, India.
Centre for the Study of Regional Development (CSRD), School of Social Sciences-3 (SSS 3), Jawaharlal Nehru University (JNU), New Delhi, 110067, India.
BMC Geriatr. 2022 Mar 1;22(1):171. doi: 10.1186/s12877-022-02869-z.
Co-existence of multiple chronic diseases is increasingly becoming a norm among ageing population. The study aims to investigate the prevalence of multimorbidity and the association between anthropometric measures of obesity and multimorbidity among men and women aged 60 years and above in India.
The present study is based on the first wave of the Longitudinal Aging Study in India. The analytical sample size for the study was 28,050 older adults aged 60 years and above. Descriptive statistics and multivariable analysis using logistic regression models were conducted.
Body Mass Index (BMI) based-obesity is more prevalent among older women than men (26.3% vs. 17.6%). Similarly, higher proportion of older women was at high-risk waist circumference (37.1% vs 8.9%) and waist-hip ratio (78.5 vs 75.4%) than men respectively. In Model-I, after controlling for several covariates, older adults with overweight/obesity were 1.6 times more likely to have multi-morbidity than non-obese older adults (Adjusted OR = 1.61; 95% CI: 1.48-1.74). Similarly, older adults with high-risk waist circumference [Adjusted OR: 1.66; 95% CI: 1.52-1.80] and waist-hip ratio [Adjusted OR: 1.45; 95% CI: 1.33-1.59] also had higher odds of having multi-morbidity in reference to their counterparts. In model-3 it was found that females with high-risk waist-hip ratio had 14% lower odds of multimorbidity than males with high-risk waist-hip ratio [Adjusted OR: 0.86; 95%CI: 0.78-0.94].
The findings of the study show significant gender difference in the prevalence of multimorbidity, men being at increased risk in the multivariate analysis which is uncommon in the existing epidemiological research. Interactive effect of male gender with anthropometric measures on multimorbidity reported in our study probably due to increased unhealthy behaviours among men requires further research.
多种慢性疾病共存在老年人群体中日渐普遍。本研究旨在探讨印度 60 岁及以上人群中,多种疾病共存的流行情况以及肥胖的人体测量指标与多种疾病共存之间的关联。
本研究基于印度纵向老龄化研究的第一波数据。本研究的分析样本量为 28050 名 60 岁及以上的老年人。采用描述性统计和多变量逻辑回归模型进行分析。
与男性相比,肥胖的 BMI 指标在老年女性中更为常见(26.3%比 17.6%)。同样,与男性相比,更多的老年女性存在高风险的腰围(37.1%比 8.9%)和腰臀比(78.5%比 75.4%)。在模型 I 中,在控制了几个协变量后,超重/肥胖的老年人比非肥胖的老年人更容易患有多种疾病,患病风险是后者的 1.6 倍(调整后的 OR=1.61;95%可信区间:1.48-1.74)。同样,高风险腰围(调整后的 OR:1.66;95%可信区间:1.52-1.80)和腰臀比(调整后的 OR:1.45;95%可信区间:1.33-1.59)的老年人也更有可能患有多种疾病。在模型 3 中发现,高风险腰臀比的女性比高风险腰臀比的男性患有多种疾病的风险低 14%(调整后的 OR:0.86;95%可信区间:0.78-0.94)。
本研究结果表明,多种疾病共存的流行情况存在显著的性别差异,在多变量分析中男性的患病风险增加,这在现有的流行病学研究中并不常见。我们的研究报告了男性性别与人体测量指标对多种疾病共存的交互作用,这可能是由于男性不健康行为的增加,需要进一步研究。