Kandapan Binayak, Pradhan Itishree, Pradhan Jalandhar
Department of Humanities and Social Sciences, National Institute of Technology (NIT), 769008 Rourkela, Odisha India.
J Popul Ageing. 2022 Aug 3:1-21. doi: 10.1007/s12062-022-09378-2.
The study aims to assess the prevalence of food insecurity and malnutrition and to investigate the association between food insecurity, sociodemographic characteristics, and malnutrition among Indian older adults. Data for 28,004 older adults (60 + years) was extracted from Wave-1 of the Longitudinal Aging Study in India, 2017-18. Bivariate analysis was used for prevalence estimates. Multinomial logistic regression provided relative risk ratios (RRR) to determine the association. About 45% of older adults were food insecure and nearly half were malnourished (underweight - 26.7%, overweight - 22.2%). Overweight was widespread in southern, western, and northern India, while underweight and food insecurity were widespread in central, eastern, and north-eastern India. Food insecure older adults were significantly more likely to be underweight (mild: RRR = 1.105, 95% CI = 1.038-1.176; severe: RRR = 1.327, 95% CI = 1.186-1.485). Rather than severe food insecurity, those with moderate food insecurity have the least likelihood of being overweight. Being the oldest, male, widowed, divorced/separated/deserted, having fewer years of schooling, living in a ST or SC household, and in rural areawere associated with higher risk of being underweight; while their other counterparts were of being overweight. No association was found between working status and underweight, meanwhile the non-working older adults were less likely to be overweight (RRR = 0.804, 95% CI = 0.744-0.868). Underweight is strongly linked to food insecurity. In terms of food insecurity and malnutrition, the most vulnerable categories identified include oldest old, widowed, divorced/separated/deserted, SC, ST, economically weaker, and persons without or with only a few years of formal education.
该研究旨在评估粮食不安全和营养不良的患病率,并调查印度老年人中粮食不安全、社会人口学特征与营养不良之间的关联。从2017 - 2018年印度纵向老龄化研究的第一波数据中提取了28004名老年人(60岁及以上)的数据。采用双变量分析进行患病率估计。多项逻辑回归提供相对风险比(RRR)以确定关联。约45%的老年人粮食不安全,近一半营养不良(体重过轻 - 26.7%,超重 - 22.2%)。超重现象在印度南部、西部和北部普遍存在,而体重过轻和粮食不安全在印度中部、东部和东北部普遍存在。粮食不安全的老年人明显更有可能体重过轻(轻度:RRR = 1.105,95%置信区间 = 1.038 - 1.176;重度:RRR = 1.327,95%置信区间 = 1.186 - 1.485)。与严重粮食不安全相比,中度粮食不安全的人超重的可能性最小。年龄最大、男性、丧偶、离婚/分居/被遗弃、受教育年限较少、生活在在册种姓或在册部落家庭以及农村地区的人,体重过轻的风险较高;而其他情况的人超重风险较高。工作状态与体重过轻之间未发现关联,与此同时,不工作的老年人超重的可能性较小(RRR = 0.804,95%置信区间 = 0.744 - 0.868)。体重过轻与粮食不安全密切相关。在粮食不安全和营养不良方面,确定的最脆弱群体包括高龄老人、丧偶、离婚/分居/被遗弃、在册种姓、在册部落、经济较弱以及未受过或仅受过几年正规教育的人。