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Assessment of nutritional status using anthropometric index among older adult and elderly population in India
Malnutrition poses a significant risk to the older population globally, highlighting the critical role of nutrition in healthy aging. In this study, the aim is to estimate the prevalence of malnutrition among older adults aged 45–59 years and the elderly population aged 60 years and above based on t...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10415320/ https://www.ncbi.nlm.nih.gov/pubmed/37563173 http://dx.doi.org/10.1038/s41598-023-39167-6 |
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author | Khan, Junaid Chattopadhyay, Aparajita Shaw, Subhojit |
author_facet | Khan, Junaid Chattopadhyay, Aparajita Shaw, Subhojit |
author_sort | Khan, Junaid |
collection | PubMed |
description | Malnutrition poses a significant risk to the older population globally, highlighting the critical role of nutrition in healthy aging. In this study, the aim is to estimate the prevalence of malnutrition among older adults aged 45–59 years and the elderly population aged 60 years and above based on their socioeconomic and demographic characteristics. Furthermore, the study examines the risk factors within a multivariate framework. A sample of 59,073 individuals aged 45 years and above from the Longitudinal Aging Study in India (LASI), Wave 1 survey constitutes the study population. This study adopts a cross-sectional design. Bivariate cross-tabulation analysis and multivariate logistic regression analysis are employed to understand the prevalence and determinants of nutritional status. About 25% of males and 37% of females below the age of 60 years are overweight (including obese), while among those aged 60 years and above, 28% of males and 25% of females are underweight. The elderly male population carries a comparatively higher burden of underweight (28%) prevalence than the females (25%) in the same age group. Overall, the urban population is less likely to be underweight [AOR: 0.41, C.I 0.38–0.43] and more likely to be overweight [AOR: 2.41, C.I 2.32–2.52]. Older adults from low economic and social strata are more likely to be underweight. In terms of bio-physical factors, individuals aged 60 years and above with infections to endemic diseases [AOR: 1.24; p-value < 0.01] and those with edentulism [AOR: 1.29; p-value < 0.01] are more likely to be underweight. As evident from the study, nutritional status among older adults is a complicated manifestation of multiple risk factors and requires potential nutritional intervention. Initiating a routine screening program at the grassroots level can effectively identify older adults and the elderly in India, facilitating the provision of nutritional care. |
format | Online Article Text |
id | pubmed-10415320 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104153202023-08-12 Assessment of nutritional status using anthropometric index among older adult and elderly population in India Khan, Junaid Chattopadhyay, Aparajita Shaw, Subhojit Sci Rep Article Malnutrition poses a significant risk to the older population globally, highlighting the critical role of nutrition in healthy aging. In this study, the aim is to estimate the prevalence of malnutrition among older adults aged 45–59 years and the elderly population aged 60 years and above based on their socioeconomic and demographic characteristics. Furthermore, the study examines the risk factors within a multivariate framework. A sample of 59,073 individuals aged 45 years and above from the Longitudinal Aging Study in India (LASI), Wave 1 survey constitutes the study population. This study adopts a cross-sectional design. Bivariate cross-tabulation analysis and multivariate logistic regression analysis are employed to understand the prevalence and determinants of nutritional status. About 25% of males and 37% of females below the age of 60 years are overweight (including obese), while among those aged 60 years and above, 28% of males and 25% of females are underweight. The elderly male population carries a comparatively higher burden of underweight (28%) prevalence than the females (25%) in the same age group. Overall, the urban population is less likely to be underweight [AOR: 0.41, C.I 0.38–0.43] and more likely to be overweight [AOR: 2.41, C.I 2.32–2.52]. Older adults from low economic and social strata are more likely to be underweight. In terms of bio-physical factors, individuals aged 60 years and above with infections to endemic diseases [AOR: 1.24; p-value < 0.01] and those with edentulism [AOR: 1.29; p-value < 0.01] are more likely to be underweight. As evident from the study, nutritional status among older adults is a complicated manifestation of multiple risk factors and requires potential nutritional intervention. Initiating a routine screening program at the grassroots level can effectively identify older adults and the elderly in India, facilitating the provision of nutritional care. Nature Publishing Group UK 2023-08-10 /pmc/articles/PMC10415320/ /pubmed/37563173 http://dx.doi.org/10.1038/s41598-023-39167-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Khan, Junaid Chattopadhyay, Aparajita Shaw, Subhojit Assessment of nutritional status using anthropometric index among older adult and elderly population in India |
title | Assessment of nutritional status using anthropometric index among older adult and elderly population in India |
title_full | Assessment of nutritional status using anthropometric index among older adult and elderly population in India |
title_fullStr | Assessment of nutritional status using anthropometric index among older adult and elderly population in India |
title_full_unstemmed | Assessment of nutritional status using anthropometric index among older adult and elderly population in India |
title_short | Assessment of nutritional status using anthropometric index among older adult and elderly population in India |
title_sort | assessment of nutritional status using anthropometric index among older adult and elderly population in india |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10415320/ https://www.ncbi.nlm.nih.gov/pubmed/37563173 http://dx.doi.org/10.1038/s41598-023-39167-6 |
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