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Influence of contextual socioeconomic position on hypertension risk in low- and middle-income countries: disentangling context from composition

BACKGROUND: Hypertension has emerged as the single most significant modifiable risk factor for cardiovascular disease and death worldwide. Resource-limited settings are currently experiencing the epidemiological transition from infectious diseases to chronic non-communicable diseases, primarily due...

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Autores principales: Abba, Mustapha S., Nduka, Chidozie U., Anjorin, Seun, Mohamed, Shukri F., Agogo, Emmanuel, Uthman, Olalekan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8647420/
https://www.ncbi.nlm.nih.gov/pubmed/34872517
http://dx.doi.org/10.1186/s12889-021-12238-x
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author Abba, Mustapha S.
Nduka, Chidozie U.
Anjorin, Seun
Mohamed, Shukri F.
Agogo, Emmanuel
Uthman, Olalekan A.
author_facet Abba, Mustapha S.
Nduka, Chidozie U.
Anjorin, Seun
Mohamed, Shukri F.
Agogo, Emmanuel
Uthman, Olalekan A.
author_sort Abba, Mustapha S.
collection PubMed
description BACKGROUND: Hypertension has emerged as the single most significant modifiable risk factor for cardiovascular disease and death worldwide. Resource-limited settings are currently experiencing the epidemiological transition from infectious diseases to chronic non-communicable diseases, primarily due to modifications in diet and lifestyle behaviour. The objective of this study was to examine the influence of individual-, community- and country-level factors associated with hypertension in low- and middle-income countries (LMICs). METHODS: Multivariable multi-level logistic regression analysis was applied using 12 Demographic and Health Survey (DHS) datasets collected between 2011 and 2018 in LMICs. We included 888,925 respondents (Level 1) nested within 33,883 neighbourhoods (Level 2) from 12 LMICs (Level 3). RESULTS: The prevalence of hypertension ranged from 10.3% in the Kyrgyz Republic to 52.2% in Haiti. After adjusting for the individual-, neighbourhood- and country-level factors, we found respondents living in the least deprived areas were 14% more likely to have hypertension than those from the most deprived areas (OR = 1.14, 95% CI 1.10 to 1.17). We observed a significant variation in the odds of hypertension across the countries and the neighbourhoods. Approximately 26.3 and 47.6% of the variance in the odds of hypertension could be attributed to country- and neighbourhood-level factors, respectively. We also observed that respondents moving to a different neighbourhood or country with a higher risk of hypertension had an increased chance of developing hypertension, the median increase in their odds of hypertension was 2.83-fold (95% CI 2.62 to 3.07) and 4.04- fold (95% CI 3.98 to 4.08), respectively. CONCLUSIONS: This study revealed that individual compositional and contextual measures of socioeconomic status were independently associated with the risk of developing hypertension. Therefore, prevention strategies should be implemented at the individual level and the socioeconomic and contextual levels to reduce the burden of hypertension.
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spelling pubmed-86474202021-12-07 Influence of contextual socioeconomic position on hypertension risk in low- and middle-income countries: disentangling context from composition Abba, Mustapha S. Nduka, Chidozie U. Anjorin, Seun Mohamed, Shukri F. Agogo, Emmanuel Uthman, Olalekan A. BMC Public Health Research BACKGROUND: Hypertension has emerged as the single most significant modifiable risk factor for cardiovascular disease and death worldwide. Resource-limited settings are currently experiencing the epidemiological transition from infectious diseases to chronic non-communicable diseases, primarily due to modifications in diet and lifestyle behaviour. The objective of this study was to examine the influence of individual-, community- and country-level factors associated with hypertension in low- and middle-income countries (LMICs). METHODS: Multivariable multi-level logistic regression analysis was applied using 12 Demographic and Health Survey (DHS) datasets collected between 2011 and 2018 in LMICs. We included 888,925 respondents (Level 1) nested within 33,883 neighbourhoods (Level 2) from 12 LMICs (Level 3). RESULTS: The prevalence of hypertension ranged from 10.3% in the Kyrgyz Republic to 52.2% in Haiti. After adjusting for the individual-, neighbourhood- and country-level factors, we found respondents living in the least deprived areas were 14% more likely to have hypertension than those from the most deprived areas (OR = 1.14, 95% CI 1.10 to 1.17). We observed a significant variation in the odds of hypertension across the countries and the neighbourhoods. Approximately 26.3 and 47.6% of the variance in the odds of hypertension could be attributed to country- and neighbourhood-level factors, respectively. We also observed that respondents moving to a different neighbourhood or country with a higher risk of hypertension had an increased chance of developing hypertension, the median increase in their odds of hypertension was 2.83-fold (95% CI 2.62 to 3.07) and 4.04- fold (95% CI 3.98 to 4.08), respectively. CONCLUSIONS: This study revealed that individual compositional and contextual measures of socioeconomic status were independently associated with the risk of developing hypertension. Therefore, prevention strategies should be implemented at the individual level and the socioeconomic and contextual levels to reduce the burden of hypertension. BioMed Central 2021-12-06 /pmc/articles/PMC8647420/ /pubmed/34872517 http://dx.doi.org/10.1186/s12889-021-12238-x Text en © The Author(s) 2021 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
Abba, Mustapha S.
Nduka, Chidozie U.
Anjorin, Seun
Mohamed, Shukri F.
Agogo, Emmanuel
Uthman, Olalekan A.
Influence of contextual socioeconomic position on hypertension risk in low- and middle-income countries: disentangling context from composition
title Influence of contextual socioeconomic position on hypertension risk in low- and middle-income countries: disentangling context from composition
title_full Influence of contextual socioeconomic position on hypertension risk in low- and middle-income countries: disentangling context from composition
title_fullStr Influence of contextual socioeconomic position on hypertension risk in low- and middle-income countries: disentangling context from composition
title_full_unstemmed Influence of contextual socioeconomic position on hypertension risk in low- and middle-income countries: disentangling context from composition
title_short Influence of contextual socioeconomic position on hypertension risk in low- and middle-income countries: disentangling context from composition
title_sort influence of contextual socioeconomic position on hypertension risk in low- and middle-income countries: disentangling context from composition
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8647420/
https://www.ncbi.nlm.nih.gov/pubmed/34872517
http://dx.doi.org/10.1186/s12889-021-12238-x
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