Cargando…
The social patterning of risk factors for noncommunicable diseases in five countries: evidence from the modeling the epidemiologic transition study (METS)
BACKGROUND: Associations between socioeconomic status (SES) and risk factors for noncommunicable diseases (NCD-RFs) may differ in populations at different stages of the epidemiological transition. We assessed the social patterning of NCD-RFs in a study including populations with different levels of...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5017030/ https://www.ncbi.nlm.nih.gov/pubmed/27612934 http://dx.doi.org/10.1186/s12889-016-3589-5 |
_version_ | 1782452667138703360 |
---|---|
author | Stringhini, Silvia Forrester, Terrence E. Plange-Rhule, Jacob Lambert, Estelle V. Viswanathan, Bharathi Riesen, Walter Korte, Wolfgang Levitt, Naomi Tong, Liping Dugas, Lara R. Shoham, David Durazo-Arvizu, Ramon A. Luke, Amy Bovet, Pascal |
author_facet | Stringhini, Silvia Forrester, Terrence E. Plange-Rhule, Jacob Lambert, Estelle V. Viswanathan, Bharathi Riesen, Walter Korte, Wolfgang Levitt, Naomi Tong, Liping Dugas, Lara R. Shoham, David Durazo-Arvizu, Ramon A. Luke, Amy Bovet, Pascal |
author_sort | Stringhini, Silvia |
collection | PubMed |
description | BACKGROUND: Associations between socioeconomic status (SES) and risk factors for noncommunicable diseases (NCD-RFs) may differ in populations at different stages of the epidemiological transition. We assessed the social patterning of NCD-RFs in a study including populations with different levels of socioeconomic development. METHODS: Data on SES, smoking, physical activity, body mass index, blood pressure, cholesterol and glucose were available from the Modeling the Epidemiologic Transition Study (METS), with about 500 participants aged 25–45 in each of five sites (Ghana, South Africa, Jamaica, Seychelles, United States). RESULTS: The prevalence of NCD-RFs differed between these populations from five countries (e.g., lower prevalence of smoking, obesity and hypertension in rural Ghana) and by sex (e.g., higher prevalence of smoking and physical activity in men and of obesity in women in most populations). Smoking and physical activity were associated with low SES in most populations. The associations of SES with obesity, hypertension, cholesterol and elevated blood glucose differed by population, sex, and SES indicator. For example, the prevalence of elevated blood glucose tended to be associated with low education, but not with wealth, in Seychelles and USA. The association of SES with obesity and cholesterol was direct in some populations but inverse in others. CONCLUSIONS: In conclusion, the distribution of NCD-RFs was socially patterned in these populations at different stages of the epidemiological transition, but associations between SES and NCD-RFs differed substantially according to risk factor, population, sex, and SES indicator. These findings emphasize the need to assess and integrate the social patterning of NCD-RFs in NCD prevention and control programs in LMICs. |
format | Online Article Text |
id | pubmed-5017030 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-50170302016-09-10 The social patterning of risk factors for noncommunicable diseases in five countries: evidence from the modeling the epidemiologic transition study (METS) Stringhini, Silvia Forrester, Terrence E. Plange-Rhule, Jacob Lambert, Estelle V. Viswanathan, Bharathi Riesen, Walter Korte, Wolfgang Levitt, Naomi Tong, Liping Dugas, Lara R. Shoham, David Durazo-Arvizu, Ramon A. Luke, Amy Bovet, Pascal BMC Public Health Research Article BACKGROUND: Associations between socioeconomic status (SES) and risk factors for noncommunicable diseases (NCD-RFs) may differ in populations at different stages of the epidemiological transition. We assessed the social patterning of NCD-RFs in a study including populations with different levels of socioeconomic development. METHODS: Data on SES, smoking, physical activity, body mass index, blood pressure, cholesterol and glucose were available from the Modeling the Epidemiologic Transition Study (METS), with about 500 participants aged 25–45 in each of five sites (Ghana, South Africa, Jamaica, Seychelles, United States). RESULTS: The prevalence of NCD-RFs differed between these populations from five countries (e.g., lower prevalence of smoking, obesity and hypertension in rural Ghana) and by sex (e.g., higher prevalence of smoking and physical activity in men and of obesity in women in most populations). Smoking and physical activity were associated with low SES in most populations. The associations of SES with obesity, hypertension, cholesterol and elevated blood glucose differed by population, sex, and SES indicator. For example, the prevalence of elevated blood glucose tended to be associated with low education, but not with wealth, in Seychelles and USA. The association of SES with obesity and cholesterol was direct in some populations but inverse in others. CONCLUSIONS: In conclusion, the distribution of NCD-RFs was socially patterned in these populations at different stages of the epidemiological transition, but associations between SES and NCD-RFs differed substantially according to risk factor, population, sex, and SES indicator. These findings emphasize the need to assess and integrate the social patterning of NCD-RFs in NCD prevention and control programs in LMICs. BioMed Central 2016-09-09 /pmc/articles/PMC5017030/ /pubmed/27612934 http://dx.doi.org/10.1186/s12889-016-3589-5 Text en © The Author(s). 2016 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 Stringhini, Silvia Forrester, Terrence E. Plange-Rhule, Jacob Lambert, Estelle V. Viswanathan, Bharathi Riesen, Walter Korte, Wolfgang Levitt, Naomi Tong, Liping Dugas, Lara R. Shoham, David Durazo-Arvizu, Ramon A. Luke, Amy Bovet, Pascal The social patterning of risk factors for noncommunicable diseases in five countries: evidence from the modeling the epidemiologic transition study (METS) |
title | The social patterning of risk factors for noncommunicable diseases in five countries: evidence from the modeling the epidemiologic transition study (METS) |
title_full | The social patterning of risk factors for noncommunicable diseases in five countries: evidence from the modeling the epidemiologic transition study (METS) |
title_fullStr | The social patterning of risk factors for noncommunicable diseases in five countries: evidence from the modeling the epidemiologic transition study (METS) |
title_full_unstemmed | The social patterning of risk factors for noncommunicable diseases in five countries: evidence from the modeling the epidemiologic transition study (METS) |
title_short | The social patterning of risk factors for noncommunicable diseases in five countries: evidence from the modeling the epidemiologic transition study (METS) |
title_sort | social patterning of risk factors for noncommunicable diseases in five countries: evidence from the modeling the epidemiologic transition study (mets) |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5017030/ https://www.ncbi.nlm.nih.gov/pubmed/27612934 http://dx.doi.org/10.1186/s12889-016-3589-5 |
work_keys_str_mv | AT stringhinisilvia thesocialpatterningofriskfactorsfornoncommunicablediseasesinfivecountriesevidencefromthemodelingtheepidemiologictransitionstudymets AT forresterterrencee thesocialpatterningofriskfactorsfornoncommunicablediseasesinfivecountriesevidencefromthemodelingtheepidemiologictransitionstudymets AT plangerhulejacob thesocialpatterningofriskfactorsfornoncommunicablediseasesinfivecountriesevidencefromthemodelingtheepidemiologictransitionstudymets AT lambertestellev thesocialpatterningofriskfactorsfornoncommunicablediseasesinfivecountriesevidencefromthemodelingtheepidemiologictransitionstudymets AT viswanathanbharathi thesocialpatterningofriskfactorsfornoncommunicablediseasesinfivecountriesevidencefromthemodelingtheepidemiologictransitionstudymets AT riesenwalter thesocialpatterningofriskfactorsfornoncommunicablediseasesinfivecountriesevidencefromthemodelingtheepidemiologictransitionstudymets AT kortewolfgang thesocialpatterningofriskfactorsfornoncommunicablediseasesinfivecountriesevidencefromthemodelingtheepidemiologictransitionstudymets AT levittnaomi thesocialpatterningofriskfactorsfornoncommunicablediseasesinfivecountriesevidencefromthemodelingtheepidemiologictransitionstudymets AT tongliping thesocialpatterningofriskfactorsfornoncommunicablediseasesinfivecountriesevidencefromthemodelingtheepidemiologictransitionstudymets AT dugaslarar thesocialpatterningofriskfactorsfornoncommunicablediseasesinfivecountriesevidencefromthemodelingtheepidemiologictransitionstudymets AT shohamdavid thesocialpatterningofriskfactorsfornoncommunicablediseasesinfivecountriesevidencefromthemodelingtheepidemiologictransitionstudymets AT durazoarvizuramona thesocialpatterningofriskfactorsfornoncommunicablediseasesinfivecountriesevidencefromthemodelingtheepidemiologictransitionstudymets AT lukeamy thesocialpatterningofriskfactorsfornoncommunicablediseasesinfivecountriesevidencefromthemodelingtheepidemiologictransitionstudymets AT bovetpascal thesocialpatterningofriskfactorsfornoncommunicablediseasesinfivecountriesevidencefromthemodelingtheepidemiologictransitionstudymets AT stringhinisilvia socialpatterningofriskfactorsfornoncommunicablediseasesinfivecountriesevidencefromthemodelingtheepidemiologictransitionstudymets AT forresterterrencee socialpatterningofriskfactorsfornoncommunicablediseasesinfivecountriesevidencefromthemodelingtheepidemiologictransitionstudymets AT plangerhulejacob socialpatterningofriskfactorsfornoncommunicablediseasesinfivecountriesevidencefromthemodelingtheepidemiologictransitionstudymets AT lambertestellev socialpatterningofriskfactorsfornoncommunicablediseasesinfivecountriesevidencefromthemodelingtheepidemiologictransitionstudymets AT viswanathanbharathi socialpatterningofriskfactorsfornoncommunicablediseasesinfivecountriesevidencefromthemodelingtheepidemiologictransitionstudymets AT riesenwalter socialpatterningofriskfactorsfornoncommunicablediseasesinfivecountriesevidencefromthemodelingtheepidemiologictransitionstudymets AT kortewolfgang socialpatterningofriskfactorsfornoncommunicablediseasesinfivecountriesevidencefromthemodelingtheepidemiologictransitionstudymets AT levittnaomi socialpatterningofriskfactorsfornoncommunicablediseasesinfivecountriesevidencefromthemodelingtheepidemiologictransitionstudymets AT tongliping socialpatterningofriskfactorsfornoncommunicablediseasesinfivecountriesevidencefromthemodelingtheepidemiologictransitionstudymets AT dugaslarar socialpatterningofriskfactorsfornoncommunicablediseasesinfivecountriesevidencefromthemodelingtheepidemiologictransitionstudymets AT shohamdavid socialpatterningofriskfactorsfornoncommunicablediseasesinfivecountriesevidencefromthemodelingtheepidemiologictransitionstudymets AT durazoarvizuramona socialpatterningofriskfactorsfornoncommunicablediseasesinfivecountriesevidencefromthemodelingtheepidemiologictransitionstudymets AT lukeamy socialpatterningofriskfactorsfornoncommunicablediseasesinfivecountriesevidencefromthemodelingtheepidemiologictransitionstudymets AT bovetpascal socialpatterningofriskfactorsfornoncommunicablediseasesinfivecountriesevidencefromthemodelingtheepidemiologictransitionstudymets |