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The socio-economic inequality in body mass index: a PERSIAN cohort-based cross-sectional study on 20,000 Iranian adults
INTRODUCTION: The aim of the present study was to explore and determine the association between BMI and socio-economic factors in Iran. METHODS: Adults aged 35 to 70 (n = 20,460) were included from Ardabil Non-Communicable Disease (ArNCD) cohort study. BMI was calculated as kg/m(2). Principal Compon...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287943/ https://www.ncbi.nlm.nih.gov/pubmed/35840953 http://dx.doi.org/10.1186/s12902-022-01096-2 |
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author | Pourfarzi, Farhad Rezaei, Satar Zahirian Moghadam, Telma Zandian, Hamed Dibazar, Foad |
author_facet | Pourfarzi, Farhad Rezaei, Satar Zahirian Moghadam, Telma Zandian, Hamed Dibazar, Foad |
author_sort | Pourfarzi, Farhad |
collection | PubMed |
description | INTRODUCTION: The aim of the present study was to explore and determine the association between BMI and socio-economic factors in Iran. METHODS: Adults aged 35 to 70 (n = 20,460) were included from Ardabil Non-Communicable Disease (ArNCD) cohort study. BMI was calculated as kg/m(2). Principal Component Analysis (PCA) was used to determine the socio-economic quintiles. Multivariate linear regression was performed to analyze the association of BMI as dependent variable with explanatory variables, Additionally, decomposition analyzing conducted to identify factors that explained wealth-related inequality in obesity. RESULTS: The prevalence of overweight and obese people was 83.7% (41.4% overweight and 42.5% obese) wherein the highest frequency of obese people belonged to the age group of 45 to 49 years old (19.9%) and to the illiterate people (33.1%). The results of multivariate linear regression model showed that age, being female, marriage, lower education level, having chronic disease, alcohol use, and higher socioeconomic level positively associated with obesity. The results of the decomposition model showed that the most important variables affecting socioeconomic inequality in higher BMI level were socioeconomic status (75.8%), being women (5.6%), education level (− 4.1%), and having chronic disease (2.4%). CONCLUSION: BMI showed significant association with socio-economic status, where richest people had significantly higher BMI than poorest group. Considering the direct role of high BMI in non-communicable diseases, new policies are needed to be developed and implemented by means of diet intervention and increased physical activity to control the BMI in the population of Iran. |
format | Online Article Text |
id | pubmed-9287943 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-92879432022-07-17 The socio-economic inequality in body mass index: a PERSIAN cohort-based cross-sectional study on 20,000 Iranian adults Pourfarzi, Farhad Rezaei, Satar Zahirian Moghadam, Telma Zandian, Hamed Dibazar, Foad BMC Endocr Disord Research INTRODUCTION: The aim of the present study was to explore and determine the association between BMI and socio-economic factors in Iran. METHODS: Adults aged 35 to 70 (n = 20,460) were included from Ardabil Non-Communicable Disease (ArNCD) cohort study. BMI was calculated as kg/m(2). Principal Component Analysis (PCA) was used to determine the socio-economic quintiles. Multivariate linear regression was performed to analyze the association of BMI as dependent variable with explanatory variables, Additionally, decomposition analyzing conducted to identify factors that explained wealth-related inequality in obesity. RESULTS: The prevalence of overweight and obese people was 83.7% (41.4% overweight and 42.5% obese) wherein the highest frequency of obese people belonged to the age group of 45 to 49 years old (19.9%) and to the illiterate people (33.1%). The results of multivariate linear regression model showed that age, being female, marriage, lower education level, having chronic disease, alcohol use, and higher socioeconomic level positively associated with obesity. The results of the decomposition model showed that the most important variables affecting socioeconomic inequality in higher BMI level were socioeconomic status (75.8%), being women (5.6%), education level (− 4.1%), and having chronic disease (2.4%). CONCLUSION: BMI showed significant association with socio-economic status, where richest people had significantly higher BMI than poorest group. Considering the direct role of high BMI in non-communicable diseases, new policies are needed to be developed and implemented by means of diet intervention and increased physical activity to control the BMI in the population of Iran. BioMed Central 2022-07-15 /pmc/articles/PMC9287943/ /pubmed/35840953 http://dx.doi.org/10.1186/s12902-022-01096-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Pourfarzi, Farhad Rezaei, Satar Zahirian Moghadam, Telma Zandian, Hamed Dibazar, Foad The socio-economic inequality in body mass index: a PERSIAN cohort-based cross-sectional study on 20,000 Iranian adults |
title | The socio-economic inequality in body mass index: a PERSIAN cohort-based cross-sectional study on 20,000 Iranian adults |
title_full | The socio-economic inequality in body mass index: a PERSIAN cohort-based cross-sectional study on 20,000 Iranian adults |
title_fullStr | The socio-economic inequality in body mass index: a PERSIAN cohort-based cross-sectional study on 20,000 Iranian adults |
title_full_unstemmed | The socio-economic inequality in body mass index: a PERSIAN cohort-based cross-sectional study on 20,000 Iranian adults |
title_short | The socio-economic inequality in body mass index: a PERSIAN cohort-based cross-sectional study on 20,000 Iranian adults |
title_sort | socio-economic inequality in body mass index: a persian cohort-based cross-sectional study on 20,000 iranian adults |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287943/ https://www.ncbi.nlm.nih.gov/pubmed/35840953 http://dx.doi.org/10.1186/s12902-022-01096-2 |
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