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Malnutrition among the Elderly in Malaysia and Its Associated Factors: Findings from the National Health and Morbidity Survey 2018

BACKGROUND: Malaysia is predicted to become an ageing population by 2035. Malnutrition among the elderly is one of growing concern. This study aims to identify the prevalence of malnutrition and its associated factors among the elderly in Malaysia. METHODS: Data from the National Health and Morbidit...

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Autores principales: Ahmad, Mohamad Hasnan, Salleh, Ruhaya, Siew Man, Cheong, Pardi, Munawara, Che Abdul Rahim, Norsyamlina, Shahril, Norhafizah, Abdul Mutalib, Mohd Hatta, Shahar, Suzana, Ahmad, Noor Ani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8057910/
https://www.ncbi.nlm.nih.gov/pubmed/33953978
http://dx.doi.org/10.1155/2021/6639935
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author Ahmad, Mohamad Hasnan
Salleh, Ruhaya
Siew Man, Cheong
Pardi, Munawara
Che Abdul Rahim, Norsyamlina
Shahril, Norhafizah
Abdul Mutalib, Mohd Hatta
Shahar, Suzana
Ahmad, Noor Ani
author_facet Ahmad, Mohamad Hasnan
Salleh, Ruhaya
Siew Man, Cheong
Pardi, Munawara
Che Abdul Rahim, Norsyamlina
Shahril, Norhafizah
Abdul Mutalib, Mohd Hatta
Shahar, Suzana
Ahmad, Noor Ani
author_sort Ahmad, Mohamad Hasnan
collection PubMed
description BACKGROUND: Malaysia is predicted to become an ageing population by 2035. Malnutrition among the elderly is one of growing concern. This study aims to identify the prevalence of malnutrition and its associated factors among the elderly in Malaysia. METHODS: Data from the National Health and Morbidity Survey (NHMS) 2018 was analysed. This survey applied a multistage stratified cluster sampling design to ensure national representativeness. Malnutrition was identified using a validated Mini Nutrition Assessment-Short Form (MNA-SF). Variables on sociodemographic, health status, and dietary practices were also obtained. The complex sampling analysis was used to determine the prevalence and associated factors of at-risk or malnutrition among the elderly. RESULT: A total of 3,977 elderly completed the MNA-SF. The prevalence of malnutrition and at-risk of malnutrition was 7.3% and 23.5%, respectively. Complex sample multiple logistic regression found that the elderly who lived in a rural area, with no formal or primary level of education, had depression, Instrumental Activity of Daily Living (IADL) dependency, and low quality of life (QoL), were underweight, and had food insecurity and inadequate plain water intake were at a significant risk of malnutrition (malnutrition and at-risk), while Chinese, Bumiputra Sarawak, and BMI more than 25 kgm(−2) were found to be protective. CONCLUSIONS: Currently, three out of ten elderly in Malaysia were at-risk or malnutrition. The elderly in a rural area, low education level, depression, IADL dependency, low QoL, underweight, food insecurity, and inadequate plain water intake were at risk of malnutrition in Malaysia. The multiagency approach is needed to tackle the issue of malnutrition among the elderly by considering all predictors identified from this study.
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spelling pubmed-80579102021-05-04 Malnutrition among the Elderly in Malaysia and Its Associated Factors: Findings from the National Health and Morbidity Survey 2018 Ahmad, Mohamad Hasnan Salleh, Ruhaya Siew Man, Cheong Pardi, Munawara Che Abdul Rahim, Norsyamlina Shahril, Norhafizah Abdul Mutalib, Mohd Hatta Shahar, Suzana Ahmad, Noor Ani J Nutr Metab Research Article BACKGROUND: Malaysia is predicted to become an ageing population by 2035. Malnutrition among the elderly is one of growing concern. This study aims to identify the prevalence of malnutrition and its associated factors among the elderly in Malaysia. METHODS: Data from the National Health and Morbidity Survey (NHMS) 2018 was analysed. This survey applied a multistage stratified cluster sampling design to ensure national representativeness. Malnutrition was identified using a validated Mini Nutrition Assessment-Short Form (MNA-SF). Variables on sociodemographic, health status, and dietary practices were also obtained. The complex sampling analysis was used to determine the prevalence and associated factors of at-risk or malnutrition among the elderly. RESULT: A total of 3,977 elderly completed the MNA-SF. The prevalence of malnutrition and at-risk of malnutrition was 7.3% and 23.5%, respectively. Complex sample multiple logistic regression found that the elderly who lived in a rural area, with no formal or primary level of education, had depression, Instrumental Activity of Daily Living (IADL) dependency, and low quality of life (QoL), were underweight, and had food insecurity and inadequate plain water intake were at a significant risk of malnutrition (malnutrition and at-risk), while Chinese, Bumiputra Sarawak, and BMI more than 25 kgm(−2) were found to be protective. CONCLUSIONS: Currently, three out of ten elderly in Malaysia were at-risk or malnutrition. The elderly in a rural area, low education level, depression, IADL dependency, low QoL, underweight, food insecurity, and inadequate plain water intake were at risk of malnutrition in Malaysia. The multiagency approach is needed to tackle the issue of malnutrition among the elderly by considering all predictors identified from this study. Hindawi 2021-04-12 /pmc/articles/PMC8057910/ /pubmed/33953978 http://dx.doi.org/10.1155/2021/6639935 Text en Copyright © 2021 Mohamad Hasnan Ahmad et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ahmad, Mohamad Hasnan
Salleh, Ruhaya
Siew Man, Cheong
Pardi, Munawara
Che Abdul Rahim, Norsyamlina
Shahril, Norhafizah
Abdul Mutalib, Mohd Hatta
Shahar, Suzana
Ahmad, Noor Ani
Malnutrition among the Elderly in Malaysia and Its Associated Factors: Findings from the National Health and Morbidity Survey 2018
title Malnutrition among the Elderly in Malaysia and Its Associated Factors: Findings from the National Health and Morbidity Survey 2018
title_full Malnutrition among the Elderly in Malaysia and Its Associated Factors: Findings from the National Health and Morbidity Survey 2018
title_fullStr Malnutrition among the Elderly in Malaysia and Its Associated Factors: Findings from the National Health and Morbidity Survey 2018
title_full_unstemmed Malnutrition among the Elderly in Malaysia and Its Associated Factors: Findings from the National Health and Morbidity Survey 2018
title_short Malnutrition among the Elderly in Malaysia and Its Associated Factors: Findings from the National Health and Morbidity Survey 2018
title_sort malnutrition among the elderly in malaysia and its associated factors: findings from the national health and morbidity survey 2018
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8057910/
https://www.ncbi.nlm.nih.gov/pubmed/33953978
http://dx.doi.org/10.1155/2021/6639935
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