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Predictors of multimorbidity among the Kurdish population living in the Northwest of Iran

BACKGROUND: There is limited information about the predictors of multimorbidity (MM) among ethnic minority older adults in Iran. This study aimed to examine the impact of sociodemographic and lifestyle factors on the prevalence of MM, among older Kurdish people living in the Northwest of Iran. METHO...

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Autores principales: Aminisani, N., Rastgou, L., Shamshirgaran, S. M., Sarbakhsh, P., Ghaderi, S., Hyde, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7353723/
https://www.ncbi.nlm.nih.gov/pubmed/32652966
http://dx.doi.org/10.1186/s12889-020-09214-2
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author Aminisani, N.
Rastgou, L.
Shamshirgaran, S. M.
Sarbakhsh, P.
Ghaderi, S.
Hyde, M.
author_facet Aminisani, N.
Rastgou, L.
Shamshirgaran, S. M.
Sarbakhsh, P.
Ghaderi, S.
Hyde, M.
author_sort Aminisani, N.
collection PubMed
description BACKGROUND: There is limited information about the predictors of multimorbidity (MM) among ethnic minority older adults in Iran. This study aimed to examine the impact of sociodemographic and lifestyle factors on the prevalence of MM, among older Kurdish people living in the Northwest of Iran. METHODS: The current study was conducted in Bukan city located in West Azarbaijan province in the Northwest of Iran. The data for this study was based on the enrolment phase of a longitudinal study on ageing among the Kurdish population aged 50–94 yearswhich was designed according to the elderly component of the PERSIAN Cohort in Iran. Stratified random sampling was used to select people aged 50 + from eight health centres in Bukan from Oct 2017 to Dec 2018. Those who accepted the invitation and completed the baseline questionnaire were included in this study (N = 1493; Response rate 75%). A range of different factors,including sociodemographic and lifestyle factors as well as self-reported chronic conditions, was obtained by trained interviewers. MM was defined as “coexistence of two or more chronic conditions in the same person”. We included a list of 36 diseases/conditions in this analysis. Descriptive analysis and logistic regression were performed to compare the prevalence of MM according to different factors. RESULTS: Over a third of the participants (36.6%) had ≥2chronic conditionsand 15.7% had≥3 chronic conditions. Hypertension, diabetes, musculoskeletal conditions, fatty liver, and heart diseases were common chronic conditions. In a fully adjusted logistic regression model, older age (OR(adj) = 1.92, 95% CI: 1.48–2.48), being female (OR(adj) = 1.49, 95%CI: 1.14–1.94), living without aspouse (OR(adj) = 1.81, 95%CI: 1.34–2.44), and inadequate consumption of fruit and vegetables (OR(adj) = 1.33, 95%CI: 1.06–1.67) were associated with the higher prevalence of MM. CONCLUSION: This study found that the prevalence of MM is relatively high among older Kurdishadults. Sociodemographic differences in the prevalence of MM might be of interest tothe health care system,and the prevalence of common chronic conditions in this study may highlight the need forlifestyle modifications in this community.
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spelling pubmed-73537232020-07-15 Predictors of multimorbidity among the Kurdish population living in the Northwest of Iran Aminisani, N. Rastgou, L. Shamshirgaran, S. M. Sarbakhsh, P. Ghaderi, S. Hyde, M. BMC Public Health Research Article BACKGROUND: There is limited information about the predictors of multimorbidity (MM) among ethnic minority older adults in Iran. This study aimed to examine the impact of sociodemographic and lifestyle factors on the prevalence of MM, among older Kurdish people living in the Northwest of Iran. METHODS: The current study was conducted in Bukan city located in West Azarbaijan province in the Northwest of Iran. The data for this study was based on the enrolment phase of a longitudinal study on ageing among the Kurdish population aged 50–94 yearswhich was designed according to the elderly component of the PERSIAN Cohort in Iran. Stratified random sampling was used to select people aged 50 + from eight health centres in Bukan from Oct 2017 to Dec 2018. Those who accepted the invitation and completed the baseline questionnaire were included in this study (N = 1493; Response rate 75%). A range of different factors,including sociodemographic and lifestyle factors as well as self-reported chronic conditions, was obtained by trained interviewers. MM was defined as “coexistence of two or more chronic conditions in the same person”. We included a list of 36 diseases/conditions in this analysis. Descriptive analysis and logistic regression were performed to compare the prevalence of MM according to different factors. RESULTS: Over a third of the participants (36.6%) had ≥2chronic conditionsand 15.7% had≥3 chronic conditions. Hypertension, diabetes, musculoskeletal conditions, fatty liver, and heart diseases were common chronic conditions. In a fully adjusted logistic regression model, older age (OR(adj) = 1.92, 95% CI: 1.48–2.48), being female (OR(adj) = 1.49, 95%CI: 1.14–1.94), living without aspouse (OR(adj) = 1.81, 95%CI: 1.34–2.44), and inadequate consumption of fruit and vegetables (OR(adj) = 1.33, 95%CI: 1.06–1.67) were associated with the higher prevalence of MM. CONCLUSION: This study found that the prevalence of MM is relatively high among older Kurdishadults. Sociodemographic differences in the prevalence of MM might be of interest tothe health care system,and the prevalence of common chronic conditions in this study may highlight the need forlifestyle modifications in this community. BioMed Central 2020-07-11 /pmc/articles/PMC7353723/ /pubmed/32652966 http://dx.doi.org/10.1186/s12889-020-09214-2 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
Aminisani, N.
Rastgou, L.
Shamshirgaran, S. M.
Sarbakhsh, P.
Ghaderi, S.
Hyde, M.
Predictors of multimorbidity among the Kurdish population living in the Northwest of Iran
title Predictors of multimorbidity among the Kurdish population living in the Northwest of Iran
title_full Predictors of multimorbidity among the Kurdish population living in the Northwest of Iran
title_fullStr Predictors of multimorbidity among the Kurdish population living in the Northwest of Iran
title_full_unstemmed Predictors of multimorbidity among the Kurdish population living in the Northwest of Iran
title_short Predictors of multimorbidity among the Kurdish population living in the Northwest of Iran
title_sort predictors of multimorbidity among the kurdish population living in the northwest of iran
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7353723/
https://www.ncbi.nlm.nih.gov/pubmed/32652966
http://dx.doi.org/10.1186/s12889-020-09214-2
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