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COVID-19, body mass index and cholesterol: an ecological study using global data
BACKGROUND: Coronavirus disease 2019 (COVID-19) is now globally considered a serious economic, social and health threat. A wide range of health related factors including Body Mass Index (BMI) is reported to be associated with the disease. In the present study, we analyzed global databases to assess...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8453032/ https://www.ncbi.nlm.nih.gov/pubmed/34548066 http://dx.doi.org/10.1186/s12889-021-11715-7 |
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author | Sarmadi, Mohammad Ahmadi-Soleimani, S. Mohammad Fararouei, Mohammad Dianatinasab, Mostafa |
author_facet | Sarmadi, Mohammad Ahmadi-Soleimani, S. Mohammad Fararouei, Mohammad Dianatinasab, Mostafa |
author_sort | Sarmadi, Mohammad |
collection | PubMed |
description | BACKGROUND: Coronavirus disease 2019 (COVID-19) is now globally considered a serious economic, social and health threat. A wide range of health related factors including Body Mass Index (BMI) is reported to be associated with the disease. In the present study, we analyzed global databases to assess the correlation of BMI and cholesterol with the risk of COVID-19. METHODS: In this ecological study, we used age-standardized BMI and cholesterol levels as well as the incidence and mortality ratio of COVID-19 at the national-levels obtained from the publicly available databases such as the World Health Organization (WHO) and NCD Risk Factor Collaboration (NCD-RisC). Bivariate correlation analysis was applied to assess the correlations between the study variables. Mean differences (standard deviation: SD) of BMI and cholesterol levels of different groups were tested using independent sample t-test or Mann–Whitney rank test as appropriate. Multivariable linear regression analysis was performed to identify variables affecting the incidence and mortality ratio of COVID-19. RESULTS: Incidence and mortality ratio of COVID-19 were significantly higher in developed (29,639.85 ± 20,210.79 for cases and 503.24 ± 414.65 for deaths) rather than developing (8153.76 ± 11,626.36 for cases and 169.95 ± 265.78 for deaths) countries (P < 0.01). Results indicated that the correlations of BMI and cholesterol level with COVID-19 are stronger in countries with younger population. In general, the BMI and cholesterol level were positively correlated with COVID-19 incidence ratio (β = 2396.81 and β = 30,932.80, p < 0.01, respectively) and mortality ratio (β = 38.18 and β = 417.52, p < 0.05, respectively) after adjusting for socioeconomic and demographic factors. CONCLUSION: Countries with higher BMI or cholesterol at aggregate levels had a higher ratios of COVID-19 incidence and mortality. The aggregated level of cholesterol and BMI are important risk factors for COVID-19 major outcomes, especially in developing countries with younger populations. We recommend monitoring and promotion of health indicices to better prevent morbidity and mortality of COVID-19. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11715-7. |
format | Online Article Text |
id | pubmed-8453032 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84530322021-09-21 COVID-19, body mass index and cholesterol: an ecological study using global data Sarmadi, Mohammad Ahmadi-Soleimani, S. Mohammad Fararouei, Mohammad Dianatinasab, Mostafa BMC Public Health Research BACKGROUND: Coronavirus disease 2019 (COVID-19) is now globally considered a serious economic, social and health threat. A wide range of health related factors including Body Mass Index (BMI) is reported to be associated with the disease. In the present study, we analyzed global databases to assess the correlation of BMI and cholesterol with the risk of COVID-19. METHODS: In this ecological study, we used age-standardized BMI and cholesterol levels as well as the incidence and mortality ratio of COVID-19 at the national-levels obtained from the publicly available databases such as the World Health Organization (WHO) and NCD Risk Factor Collaboration (NCD-RisC). Bivariate correlation analysis was applied to assess the correlations between the study variables. Mean differences (standard deviation: SD) of BMI and cholesterol levels of different groups were tested using independent sample t-test or Mann–Whitney rank test as appropriate. Multivariable linear regression analysis was performed to identify variables affecting the incidence and mortality ratio of COVID-19. RESULTS: Incidence and mortality ratio of COVID-19 were significantly higher in developed (29,639.85 ± 20,210.79 for cases and 503.24 ± 414.65 for deaths) rather than developing (8153.76 ± 11,626.36 for cases and 169.95 ± 265.78 for deaths) countries (P < 0.01). Results indicated that the correlations of BMI and cholesterol level with COVID-19 are stronger in countries with younger population. In general, the BMI and cholesterol level were positively correlated with COVID-19 incidence ratio (β = 2396.81 and β = 30,932.80, p < 0.01, respectively) and mortality ratio (β = 38.18 and β = 417.52, p < 0.05, respectively) after adjusting for socioeconomic and demographic factors. CONCLUSION: Countries with higher BMI or cholesterol at aggregate levels had a higher ratios of COVID-19 incidence and mortality. The aggregated level of cholesterol and BMI are important risk factors for COVID-19 major outcomes, especially in developing countries with younger populations. We recommend monitoring and promotion of health indicices to better prevent morbidity and mortality of COVID-19. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11715-7. BioMed Central 2021-09-21 /pmc/articles/PMC8453032/ /pubmed/34548066 http://dx.doi.org/10.1186/s12889-021-11715-7 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 Sarmadi, Mohammad Ahmadi-Soleimani, S. Mohammad Fararouei, Mohammad Dianatinasab, Mostafa COVID-19, body mass index and cholesterol: an ecological study using global data |
title | COVID-19, body mass index and cholesterol: an ecological study using global data |
title_full | COVID-19, body mass index and cholesterol: an ecological study using global data |
title_fullStr | COVID-19, body mass index and cholesterol: an ecological study using global data |
title_full_unstemmed | COVID-19, body mass index and cholesterol: an ecological study using global data |
title_short | COVID-19, body mass index and cholesterol: an ecological study using global data |
title_sort | covid-19, body mass index and cholesterol: an ecological study using global data |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8453032/ https://www.ncbi.nlm.nih.gov/pubmed/34548066 http://dx.doi.org/10.1186/s12889-021-11715-7 |
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