Cargando…
Effect of national culture on BMI: a multilevel analysis of 53 countries
BACKGROUND: To investigate the association between national culture and national BMI in 53 low-middle- and high-income countries. METHODS: Data from World Health Survey conducted in 2002–2004 in low-middle- and high-income countries were used. Participants aged 18 years and over were selected using...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6719355/ https://www.ncbi.nlm.nih.gov/pubmed/31481044 http://dx.doi.org/10.1186/s12889-019-7536-0 |
_version_ | 1783447915188977664 |
---|---|
author | Masood, Mohd Aggarwal, Akash Reidpath, Daniel D. |
author_facet | Masood, Mohd Aggarwal, Akash Reidpath, Daniel D. |
author_sort | Masood, Mohd |
collection | PubMed |
description | BACKGROUND: To investigate the association between national culture and national BMI in 53 low-middle- and high-income countries. METHODS: Data from World Health Survey conducted in 2002–2004 in low-middle- and high-income countries were used. Participants aged 18 years and over were selected using multistage, stratified cluster sampling. BMI was used as an outcome variable. Culture of the countries was measured using Hofstede’s cultural dimensions: Uncertainty avoidance, individualism, Power Distance and masculinity. The potential determinants of individual-level BMI were participants’ sex, age, marital status, education, occupation as well as household-wealth and location (rural/urban) at the individual-level. The country-level factors used were average national income (GNI-PPP), income inequality (Gini-index) and Hofstede’s cultural dimensions. A two-level random-intercepts and fixed-slopes model structure with individuals nested within countries were fitted, treating BMI as a continuous outcome variable. RESULTS: A sample of 156,192 people from 53 countries was included in this analysis. The design-based (weighted) mean BMI (SE) in these 53 countries was 23.95(0.08). Uncertainty avoidance (UAI) and individualism (IDV) were significantly associated with BMI, showing that people in more individualistic or high uncertainty avoidance countries had higher BMI than collectivist or low uncertainty avoidance ones. This model explained that one unit increase in UAI or IDV was associated with 0.03 unit increase in BMI. Power distance and masculinity were not associated with BMI of the people. National level Income was also significantly associated with individual-level BMI. CONCLUSION: National culture has a substantial association with BMI of the individuals in the country. This association is important for understanding the pattern of obesity or overweight across different cultures and countries. It is also important to recognise the importance of the association of culture and BMI in developing public health interventions to reduce obesity or overweight. |
format | Online Article Text |
id | pubmed-6719355 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-67193552019-09-06 Effect of national culture on BMI: a multilevel analysis of 53 countries Masood, Mohd Aggarwal, Akash Reidpath, Daniel D. BMC Public Health Research Article BACKGROUND: To investigate the association between national culture and national BMI in 53 low-middle- and high-income countries. METHODS: Data from World Health Survey conducted in 2002–2004 in low-middle- and high-income countries were used. Participants aged 18 years and over were selected using multistage, stratified cluster sampling. BMI was used as an outcome variable. Culture of the countries was measured using Hofstede’s cultural dimensions: Uncertainty avoidance, individualism, Power Distance and masculinity. The potential determinants of individual-level BMI were participants’ sex, age, marital status, education, occupation as well as household-wealth and location (rural/urban) at the individual-level. The country-level factors used were average national income (GNI-PPP), income inequality (Gini-index) and Hofstede’s cultural dimensions. A two-level random-intercepts and fixed-slopes model structure with individuals nested within countries were fitted, treating BMI as a continuous outcome variable. RESULTS: A sample of 156,192 people from 53 countries was included in this analysis. The design-based (weighted) mean BMI (SE) in these 53 countries was 23.95(0.08). Uncertainty avoidance (UAI) and individualism (IDV) were significantly associated with BMI, showing that people in more individualistic or high uncertainty avoidance countries had higher BMI than collectivist or low uncertainty avoidance ones. This model explained that one unit increase in UAI or IDV was associated with 0.03 unit increase in BMI. Power distance and masculinity were not associated with BMI of the people. National level Income was also significantly associated with individual-level BMI. CONCLUSION: National culture has a substantial association with BMI of the individuals in the country. This association is important for understanding the pattern of obesity or overweight across different cultures and countries. It is also important to recognise the importance of the association of culture and BMI in developing public health interventions to reduce obesity or overweight. BioMed Central 2019-09-03 /pmc/articles/PMC6719355/ /pubmed/31481044 http://dx.doi.org/10.1186/s12889-019-7536-0 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Research Article Masood, Mohd Aggarwal, Akash Reidpath, Daniel D. Effect of national culture on BMI: a multilevel analysis of 53 countries |
title | Effect of national culture on BMI: a multilevel analysis of 53 countries |
title_full | Effect of national culture on BMI: a multilevel analysis of 53 countries |
title_fullStr | Effect of national culture on BMI: a multilevel analysis of 53 countries |
title_full_unstemmed | Effect of national culture on BMI: a multilevel analysis of 53 countries |
title_short | Effect of national culture on BMI: a multilevel analysis of 53 countries |
title_sort | effect of national culture on bmi: a multilevel analysis of 53 countries |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6719355/ https://www.ncbi.nlm.nih.gov/pubmed/31481044 http://dx.doi.org/10.1186/s12889-019-7536-0 |
work_keys_str_mv | AT masoodmohd effectofnationalcultureonbmiamultilevelanalysisof53countries AT aggarwalakash effectofnationalcultureonbmiamultilevelanalysisof53countries AT reidpathdanield effectofnationalcultureonbmiamultilevelanalysisof53countries |