Nutritional status of older adults in a community in Pathanamthitta district of Kerala

Abraham, Jacob; Navaneetha, N; Johns, Felix; Aiyappan, Rajalakshmy; Mili, Meriem; Shibu, Priyanka; Bahar, Zühal

doi:10.18203/2320-6012.ijrms20175721

Cited by 9 publications

(8 citation statements)

References 9 publications

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“…Deprived nutritional status as indicated by lower calf circumference is another problem among rural older adults with lower SES. Poor transportation facilities in the rural area is one of the barriers for access to food items, thus increasing dependency on locally available resources for their daily intake to save cost [42]. Progressive decline in muscle mass or lean tissue may lead sarcopenia and further deterioration in physical health [43].…”

Section: Discussionmentioning

confidence: 99%

Factors associated with poor socioeconomic status among Malaysian older adults: an analysis according to urban and rural settings

et al. 2019

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Background Poverty at old age is associated with poor dietary habit, nutritional status and higher rates of chronic diseases and psychosocial problems. However, there is limited information about this matter according to urban and rural settings. The aim of this study was to identify dietary, nutritional, physical and cognitive factors associated with poor socioeconomic status (SES) among older adults according to urban and rural settings in Malaysia. Methods An analysis was conducted among 2237 older adults who participated in a longitudinal study on aging (LRGS TUA). This study involved four states in Malaysia, with 49.4% from urban areas. Respondents were divided into three categories of SES based on percentile, stratified according to urban and rural settings. SES was measured using household income. Results The prevalence of low SES was higher among older adults in the rural area (50.6%) as compared to the urban area (49.4%). Factors associated with low SES among older adults in an urban setting were low dietary fibre intake (Adj OR:0.91),longer time for the Timed up and Go Test (Adj OR:1.09), greater disability (Adj OR:1.02), less frequent practice of caloric restriction (Adj OR:1.65), lower cognitive processing speed score (Adj OR:0.94) and lower protein intake (Adj OR:0.94). Whilst, among respondents from rural area, the factors associated with low SES were lack of dietary fibre intake (Adj OR:0.79), lower calf circumference (Adj OR: 0.91), lesser fresh fruits intake (Adj OR:0.91), greater disability (Adj OR:1.02) and having lower score in instrumental activities of daily living (Adj OR: 0.92). Conclusion Lower SES ismore prevalent in rural areas. Poor dietary intake, lower fitness and disability were common factors associated with low in SES, regardless of settings. Factors associated with low SES identifiedin both the urban and rural areas in our study may be useful inplanning strategies to combat low SES and its related problems among older adults.

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Section: Discussionmentioning

confidence: 99%

Factors associated with poor socioeconomic status among Malaysian older adults: an analysis according to urban and rural settings

et al. 2019

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“…13,32 Total rural sample was 3500 with ranging from 80 to 545. 9,30 The overall prevalence of malnutrition among the rural elderly was found by meta-analysis was 21.67% (95% CI: 16.44-27.40).…”

Section: Resultsmentioning

confidence: 99%

“…Most of the studies indicated educational status was a crucial risk factor for malnutrition. 9,12,16,20,[23][24][25][26]31 Illiteracy is extremely related to elderly malnutrition and supported by study of Baweja et al 50 Lack of education diminishes the consideration in regards to sound way of life, optimum diet which can attribute to individual nutritional status. Elderly having higher education, owing to their exposure to the outside world, are more aware of personal hygiene, curative health care than that of less educated elderly.…”

Section: Discussionmentioning

confidence: 99%

“…Poor socioeconomic status or less family income was found to be independently related to malnutrition reported by many studies. 9,10,14,16,20,25,26,31 This may be attributed to the undeniable reality that poor financial conditions have impact on dietary decisions of eating choices and eating patterns which ultimately affect the nutritional status of the elderly.…”

Section: Discussionmentioning

confidence: 99%

“…21,36 Overall urban sample size was 3874 with ranging from 49 to 500. 9,26 Moreover, the overall prevalence of malnutrition among the urban elderly was 14.23% (95% CI: 10.02-19.05). It was observed that the rural elderly people were significantly 1.8 times more chance to be developed malnutrition than the urban elderly (OR: 1.76; CI: 1.56 to 1.99).…”

Section: Figure 4: Forest Plot Of Malnutrition By Mna Among the Ruralmentioning

confidence: 99%

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Malnutrition assessed by mini nutritional assessment tool among Indian elderly: a systematic review and meta-analysis

Bisai

Dey²

2020

Int J Community Med Public Health

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Overall health and nutritional status of elderly population of India is not satisfactory. Therefore, present systematic review was conducted to determine the overall occurrence of malnutrition of Indian elderly and furthermore attempted to find out the underlying causes of malnutrition. Present review considered published article reported malnutrition of elderly as assessed by mini nutritional assessment (MNA) tool. Thus, literature searching, screening and data synthesis was made and recorded following preferred reporting items for systematic reviews and meta-analyses (PRISMA) protocol. All published literature looked through utilizing the accompanying keywords. The MedCalc software was applied to estimate the overall prevalence of malnutrition by using meta-analysis statistical method. Thirty of 147 articles were included in this analysis. Overall mean MNA scores was 19.47±4.17. Study found overall prevalence of malnutrition among elderly was 17.93% (95% CI: 14.23-21.84). The prevalence of malnutrition was significantly higher in rural elderly (21.67%, 95% CI: 16.44-27.40) than urban (14.23%, 95% CI: 10.02-19.05) elderly of India. Rural elderly more likely to be 1.8 (OR: 1.76; CI: 1.56-1.99) times greater chance to be developed malnutrition than the urban elderly. Moreover, present study estimated that about 18.6 million Indian elderly population was malnourished and expected to be 22 million by 2021 due to elderly population growth, morbidity, poverty and joblessness by COVID-19 pandemic. Given the expansion of elderly malnutrition in future, there is felt need a special nutrition intervention programme for the rural elderly population. Thus, a dedicated geriatric friendly nutrition rehabilitation center (GFNRC) may be setup at every community development block of India.

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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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Nutritional status of older adults in a community in Pathanamthitta district of Kerala

Cited by 9 publications

References 9 publications

Factors associated with poor socioeconomic status among Malaysian older adults: an analysis according to urban and rural settings

Factors associated with poor socioeconomic status among Malaysian older adults: an analysis according to urban and rural settings

Malnutrition assessed by mini nutritional assessment tool among Indian elderly: a systematic review and meta-analysis

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

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