1. Estimates of malnutrition and risk of malnutrition among the elderly (≥60 years) in India: A systematic review and meta-analysis
- Author
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Rachana Srivastava, Tanvi Kiran, Tarundeep Singh, Poonam Khanna, Savitesh Kushwaha, and Rachita Jain
- Subjects
0301 basic medicine ,Aging ,India ,Nutritional Status ,Subgroup analysis ,Biochemistry ,03 medical and health sciences ,0302 clinical medicine ,Environmental health ,Health care ,Prevalence ,Humans ,Medicine ,Geriatric Assessment ,Molecular Biology ,Aged ,business.industry ,Malnutrition ,Standard methods ,Random effects model ,medicine.disease ,Intervention studies ,Nutrition Assessment ,030104 developmental biology ,Neurology ,Meta-analysis ,Female ,Healthy ageing ,business ,030217 neurology & neurosurgery ,Biotechnology - Abstract
Background Death is inevitable, but healthy ageing is possible with proper nutrition and health care. This systematic review and meta-analysis conducted to estimate the nation-wide prevalence and malnutrition and risk of malnutrition among the elderly in India. Methods PubMed, EMBASE, Web of Science, Cochrane`s library, Google Scholar were searched for the articles reporting the prevalence of malnutrition among the elderly using MNA or MNA-SF tools. The study published between the year 2010–2019 were included. Sensitivity analysis, quality assessment was done using standard methods. The publication biasness was also determined using Doi plot and LFK index. The pooled prevalence was reported with effect size and considering the random effect model and quality effect model. The subgroup analysis was also conducted for gender, study setting, study area and study regions. Results The prevalence of malnutrition and risk of malnutrition among the elderly was 18.29% and 48.17% respectively. The prevalence of malnutrition was higher among female (16.67%), clinic setting (28.87%), urban areas (19.29%) and northern region (27.37%) of India. This trend differs with the prevalence of risk of malnutrition. Meta-regression analysis shows a region-based prediction of malnutrition and setting based prediction of risk of malnutrition. Conclusion The prevalence of malnutrition was not considerably higher among the elderly population but about half of the elderly population were at risk of malnutrition. This trend differs with the gender, study setting, study area and study region. Additional study using other nutritional assessment tools were needed. Intervention studies among the elderly were recommended.
- Published
- 2020