Estimates of malnutrition and risk of malnutrition among the elderly (≥60 years) in India: A systematic review and meta-analysis

Kushwaha, Savitesh; Khanna, Poonam; Srivastava, R. N.; Jain, Rachita; Singh, Tarundeep; Kiran, Tanvi

doi:10.1016/j.arr.2020.101137

Cited by 36 publications

(29 citation statements)

References 54 publications

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“…Sociodemographic characteristics are well-known predictors of such indirect factors, thus, some sociodemographic characteristics can predict malnutrition in older adults (Krzyminska-Siemaszko et al, 2021 ). A recent systematic review and meta analysis of 40 studies from various countries (Besora-Moreno et al, 2020 ) and 45 studies on Indian population (Kushwaha et al, 2020 ) assessing the risk of malnutrition in various older adult populations confirmed a strong relation between several socioeconomic factors (such as age, sex, educational level, marital status, income level, occupational level, place of residence, and region) and malnutrition or risk of malnutrition in older adults aged above 60. The studies found a mixed association between socioeconomic variables and malnutrition or risk of malnutrition.…”

Section: Introductionmentioning

confidence: 99%

“…For example, of the 31 studies that evaluated educational level, 15 established significant relationships with regard to malnutrition or malnutrition risk, of which 11 studies showed a negative association, and the other four had a contrary result (Besora-Moreno et al, 2020 ). In the Indian context, age, sex, educational level, working status, marital status, place of residence, economic status, and caste significantly impacts indirect factors that can be associated with malnutrition (Arlappa et al, 2006 ; Sengupta et al, 2015 ; Konda et al, 2018 ; Kushwaha et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

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Food Insecurity and Malnutrition among Indian Older Adults: Findings from Longitudinal Ageing Study in India, 2017-18

Kandapan

Pradhan

2022

Population Ageing

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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.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Food Insecurity and Malnutrition among Indian Older Adults: Findings from Longitudinal Ageing Study in India, 2017-18

Kandapan

Pradhan

2022

Population Ageing

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“…This figure was comparatively lower than the other studies, particularly regarding malnourishment [25], [26]. The prevalence of malnutrition and risk of malnutrition in the elderly was 18.29% and 48.17% respectively in a systematic review and meta-analysis recently conducted in India [27]. However, malnutrition trends in NFHS surveys from 1992-1993 to 2019-21 show a significant decline in stunting and underweight, but wasting rates have remained stable [28].…”

Section: Resultsmentioning

confidence: 91%

The burden of depression and malnutrition in the elderly population of Western Rajasthan

Upadhyay

Mantri

Joshi

et al. 2022

IJPHS

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<p>With changing demography, developing countries will be outnumbered by the elderly and their associated chronic diseases. The geriatric population is at increased risk of malnutrition with multiple factors, especially depression. This study explored potential linkages between malnutrition and depression in the geriatric population. A cross-sectional study was conducted at tertiary healthcare facilities at Western Rajasthan, India from April to June 2018. After consent from 310 elderly patients attending out patient department, a pre-tested questionnaire was used to collect data. Assessment of malnutrition status using mini nutritional assessment (MNA), depression using geriatric depression scale (GDS), physical frailty using activities of daily living (ADL), and instrumental activities of daily living (IADL) was done. Chi-square, Fischer test, and unpaired t-test were employed for inferential statistics. Multiple logistic regression was used to compute the adjusted odds ratio. Out of 310 elderlies, 192 (61.9%) participants were categorized as having poor nutrition and 99 (31.9%) were likely to suffer from depression. The elderly at risk of malnutrition among depressed was 75.8% (n=99) with a preponderance for females, and minor disabilities. Multivariate analysis suggested higher odds of malnutrition in the elderly with lower socioeconomic status and rural residence. Depression and malnutrition are linked in a destructive cycle but the causality remains elusive.</p>

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“…Due to their strong relation to fat-free mass, basal energy requirements are also in uenced by gender and by nutritional status; REE/kg BW is higher for men than for women and increases with decreasing body mass index (BMI) (33).In contrast to the results of the current study, a study conducted in Italy aimed to asses Social and economic determinants of undernutrition found that a high prevalence of undernutrition was found out in both genders: 26% of females and 16.3% of males were classi ed as being malnourished (34). Similarly, a systematic review and meta-analysis of undernutrition and risk of undernutrition among the older adults (≥60 years) in India reported that the prevalence of undernutrition was higher among females (16.67%), (35). The multidimensional background of undernutrition among rural older individuals in Bangladesh investigated that, female gender (P < 0•05was independently associated with poor nutritional status (36).…”

Section: Discussionmentioning

confidence: 99%

Undernutrition and associated factors of among older adults in Ethiopia: Systematic review and meta-analysis

Yisak¹

2022

Preprint

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Introduction: In older adults, undernutrition is a common and dangerous condition. Undernutrition contributes significantly to morbidity and mortality in older adults today, without a doubt. Undernutrition and accidental weight loss contribute to health decline, decreased physical and cognitive functional status, higher healthcare consumption, premature institutionalization, and increased mortality. Undernutrition in older adults may be reduced if the overall prevalence and determinant factors were addressed. So, the goal of this study was to determine the pooled prevalence and factors associated with undernutrition among the older adults in Ethiopia.Method: The protocol in this study was registered in the International Prospective Register of Systematic Reviews (PROSPERO) database and can be accessed with the protocol number CRD42021254805.A selection of publications, data extraction, and reported results for the review was designed according to the preferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines. The quality of individual studies included in this meta-analysis was assessed using the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) checklist. A total of 8 independent studies were eligible and enrolled for final analysis. The heterogeneity among studies used for this meta-analysis was assessed using the I2 test. Thus, a fixed-effect model at 95% CI was used for estimating the overall effect. The meta-analysis was conducted using Stata software (version 14, STATA Corp College Station, TX), where p < 0.05 was considered statistically significant.Results: In the estimation of the pooled prevalence of undernutrition, a total of 4,628 older adults from eight studies were included. the pooled prevalence of undernutrition among older adults in Ethiopia was 20.53% (95% CI: 17.39%, 23.67%). The study revealed that males had higher odds of being undernutrition as compared to females with AOR 5.88 (95% CI: 5.00, 6.66). Older adults in the age range of 65-74 (young-old) were less likely to be undernourished as compared to those whose age was above 85 (old-old) with AOR 022(95%CI:0.22, 0.25). Older adults who were depressed had higher odds of undernutrition as compared to their counterparts with AOR 1.27 (95%CI:1.19, 1.37). On the other hand, older adults from households with poor wealth index were two (AOR=1.90; 95% CI: 1.08, 3.32) times more likely to be undernourished as compared to those who were from rich households.Conclusion: The burden of undernutrition in Ethiopia is still significant, according to this report. As a result, different intervention measures to minimize the prevalence of undernutrition among Ethiopia's older adults are urgently needed

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Estimates of malnutrition and risk of malnutrition among the elderly (≥60 years) in India: A systematic review and meta-analysis

Cited by 36 publications

References 54 publications

Food Insecurity and Malnutrition among Indian Older Adults: Findings from Longitudinal Ageing Study in India, 2017-18

Food Insecurity and Malnutrition among Indian Older Adults: Findings from Longitudinal Ageing Study in India, 2017-18

The burden of depression and malnutrition in the elderly population of Western Rajasthan

Undernutrition and associated factors of among older adults in Ethiopia: Systematic review and meta-analysis

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Estimates of malnutrition and risk of malnutrition among the elderly (≥60 years) in India: A systematic review and meta-analysis

Cited by 36 publications

References 54 publications

Food Insecurity and Malnutrition among Indian Older Adults: Findings from Longitudinal Ageing Study in India, 2017-18

Food Insecurity and Malnutrition among Indian Older Adults: Findings from Longitudinal Ageing Study in India, 2017-18

The burden of depression and malnutrition in the elderly population of Western Rajasthan

﻿Undernutrition and associated factors of among older adults in Ethiopia: Systematic review and meta-analysis

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Undernutrition and associated factors of among older adults in Ethiopia: Systematic review and meta-analysis