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Nutrition assessment and geriatric associated conditions among community dwelling Iranian elderly people

BACKGROUND: Although malnutrition risk is well documented in elderly care institutions, few studies have been conducted to address concerns regarding community-dwelling elderly people. This study has been aimed to describe the nutritional status and its related socioeconomic and geriatric factors in...

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Autores principales: Bakhtiari, Afsaneh, pourali, Mahbobeh, Omidvar, Shabnam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7409695/
https://www.ncbi.nlm.nih.gov/pubmed/32762725
http://dx.doi.org/10.1186/s12877-020-01668-8
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author Bakhtiari, Afsaneh
pourali, Mahbobeh
Omidvar, Shabnam
author_facet Bakhtiari, Afsaneh
pourali, Mahbobeh
Omidvar, Shabnam
author_sort Bakhtiari, Afsaneh
collection PubMed
description BACKGROUND: Although malnutrition risk is well documented in elderly care institutions, few studies have been conducted to address concerns regarding community-dwelling elderly people. This study has been aimed to describe the nutritional status and its related socioeconomic and geriatric factors in community-dwelling elders with malnutrition. METHOD: For this study, a randomized sampling among people aged 60 has been done (n = 326). Information on nutrition status (full MNA) and health information, like cognitive status (MMSE), daily functional status (ADL and IADL scales) and frailty was obtained. Multiple logistic regression analyses have been carried out, in order to identify the association of demographical and clinical factors with malnutrition. RESULTS: 28.1% of the participants suffered from poor nutrition. In the binary analysis, low MNA scores were associated with increasing age, female gender, lower education level, financial dependence, solitary life, poor self-rated health, multiple physical disabilities and chronic disease, polypharmacy, smoking, functional and cognitive decrease and frailty. In the final model of the multivariate analysis, living alone (OR:1.249,CI:1.105–2.620), multiple physical disabilities (OR:2.183,CI:1.246 ± 3..250) and chronic disease (OR: 2.148,CI:1.167–2.879) were independently associated with malnutrition. Also financial independency (OR:0.625,CI:0.233–0.938), functional ability on ADL (OR:0.536,CI:0.327–0.976) and IADL (OR:0.319,CI:0.194–0.856), normal cognitive (OR:0.456,CI:0.293–0.934) and no frailty (OR:0.253,CI:0.117–0.729) independently were inversely associated with malnutrition. The model was adjusted for all socio- demographic and health variables that were significantly related in the previous models. CONCLUSIONS: Our results indicated a strong correlation between malnutrition and health status. Identifying predictive factors can potentially improve prevention and management strategies used for malnutrition in elderly.
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spelling pubmed-74096952020-08-10 Nutrition assessment and geriatric associated conditions among community dwelling Iranian elderly people Bakhtiari, Afsaneh pourali, Mahbobeh Omidvar, Shabnam BMC Geriatr Research Article BACKGROUND: Although malnutrition risk is well documented in elderly care institutions, few studies have been conducted to address concerns regarding community-dwelling elderly people. This study has been aimed to describe the nutritional status and its related socioeconomic and geriatric factors in community-dwelling elders with malnutrition. METHOD: For this study, a randomized sampling among people aged 60 has been done (n = 326). Information on nutrition status (full MNA) and health information, like cognitive status (MMSE), daily functional status (ADL and IADL scales) and frailty was obtained. Multiple logistic regression analyses have been carried out, in order to identify the association of demographical and clinical factors with malnutrition. RESULTS: 28.1% of the participants suffered from poor nutrition. In the binary analysis, low MNA scores were associated with increasing age, female gender, lower education level, financial dependence, solitary life, poor self-rated health, multiple physical disabilities and chronic disease, polypharmacy, smoking, functional and cognitive decrease and frailty. In the final model of the multivariate analysis, living alone (OR:1.249,CI:1.105–2.620), multiple physical disabilities (OR:2.183,CI:1.246 ± 3..250) and chronic disease (OR: 2.148,CI:1.167–2.879) were independently associated with malnutrition. Also financial independency (OR:0.625,CI:0.233–0.938), functional ability on ADL (OR:0.536,CI:0.327–0.976) and IADL (OR:0.319,CI:0.194–0.856), normal cognitive (OR:0.456,CI:0.293–0.934) and no frailty (OR:0.253,CI:0.117–0.729) independently were inversely associated with malnutrition. The model was adjusted for all socio- demographic and health variables that were significantly related in the previous models. CONCLUSIONS: Our results indicated a strong correlation between malnutrition and health status. Identifying predictive factors can potentially improve prevention and management strategies used for malnutrition in elderly. BioMed Central 2020-08-06 /pmc/articles/PMC7409695/ /pubmed/32762725 http://dx.doi.org/10.1186/s12877-020-01668-8 Text en © The Author(s). 2020 Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Bakhtiari, Afsaneh
pourali, Mahbobeh
Omidvar, Shabnam
Nutrition assessment and geriatric associated conditions among community dwelling Iranian elderly people
title Nutrition assessment and geriatric associated conditions among community dwelling Iranian elderly people
title_full Nutrition assessment and geriatric associated conditions among community dwelling Iranian elderly people
title_fullStr Nutrition assessment and geriatric associated conditions among community dwelling Iranian elderly people
title_full_unstemmed Nutrition assessment and geriatric associated conditions among community dwelling Iranian elderly people
title_short Nutrition assessment and geriatric associated conditions among community dwelling Iranian elderly people
title_sort nutrition assessment and geriatric associated conditions among community dwelling iranian elderly people
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7409695/
https://www.ncbi.nlm.nih.gov/pubmed/32762725
http://dx.doi.org/10.1186/s12877-020-01668-8
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