Cargando…
The odd man out in Sub-Saharan Africa: understanding the tobacco use prevalence in Madagascar
BACKGROUND: The tobacco industry has globalized and tobacco use continues to increase in low- and middle-income countries. Yet, the data and research to inform policy initiatives for addressing this phenomenon is sparse. This study aims to estimate the prevalence of adult tobacco use in 17 Sub-Sahar...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3848741/ https://www.ncbi.nlm.nih.gov/pubmed/24044737 http://dx.doi.org/10.1186/1471-2458-13-856 |
_version_ | 1782293811242729472 |
---|---|
author | Mamudu, Hadii M John, Rijo M Veeranki, Sreenivas P Ouma, Ahmed E Ogwell |
author_facet | Mamudu, Hadii M John, Rijo M Veeranki, Sreenivas P Ouma, Ahmed E Ogwell |
author_sort | Mamudu, Hadii M |
collection | PubMed |
description | BACKGROUND: The tobacco industry has globalized and tobacco use continues to increase in low- and middle-income countries. Yet, the data and research to inform policy initiatives for addressing this phenomenon is sparse. This study aims to estimate the prevalence of adult tobacco use in 17 Sub-Saharan Africa (SSA) countries, and to identify key factors associated with adult tobacco consumption choices (smoked, smokeless tobacco and dual use) in Madagascar. METHODS: We used Demographic Health Survey for estimating tobacco use prevalence among adults in SSA. A multinomial logistic regression model was used to identify key determinants of adult tobacco consumption choices in Madagascar. RESULTS: While differences in tobacco use exist in SSA, Madagascar has exceptionally higher prevalence rates (48.9% of males; 10.3% of females). The regression analyses showed complexity of tobacco use in Madagascar and identified age, education, wealth, employment, marriage, religion and place of residence as factors significantly associated with the choice of tobacco use among males, while age, wealth, and employment were significantly associated with that of females. The effects, however, differ across the three choices of tobacco use compared to non-use. CONCLUSIONS: Tobacco use in Madagascar was higher than the other 16 SSA countries. Although the government continues to enact policies to address the problem, there is a need for effective implementation and enforcement. There is also the need for health education to modify social norms and denormalize tobacco use. |
format | Online Article Text |
id | pubmed-3848741 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-38487412013-12-05 The odd man out in Sub-Saharan Africa: understanding the tobacco use prevalence in Madagascar Mamudu, Hadii M John, Rijo M Veeranki, Sreenivas P Ouma, Ahmed E Ogwell BMC Public Health Research Article BACKGROUND: The tobacco industry has globalized and tobacco use continues to increase in low- and middle-income countries. Yet, the data and research to inform policy initiatives for addressing this phenomenon is sparse. This study aims to estimate the prevalence of adult tobacco use in 17 Sub-Saharan Africa (SSA) countries, and to identify key factors associated with adult tobacco consumption choices (smoked, smokeless tobacco and dual use) in Madagascar. METHODS: We used Demographic Health Survey for estimating tobacco use prevalence among adults in SSA. A multinomial logistic regression model was used to identify key determinants of adult tobacco consumption choices in Madagascar. RESULTS: While differences in tobacco use exist in SSA, Madagascar has exceptionally higher prevalence rates (48.9% of males; 10.3% of females). The regression analyses showed complexity of tobacco use in Madagascar and identified age, education, wealth, employment, marriage, religion and place of residence as factors significantly associated with the choice of tobacco use among males, while age, wealth, and employment were significantly associated with that of females. The effects, however, differ across the three choices of tobacco use compared to non-use. CONCLUSIONS: Tobacco use in Madagascar was higher than the other 16 SSA countries. Although the government continues to enact policies to address the problem, there is a need for effective implementation and enforcement. There is also the need for health education to modify social norms and denormalize tobacco use. BioMed Central 2013-09-17 /pmc/articles/PMC3848741/ /pubmed/24044737 http://dx.doi.org/10.1186/1471-2458-13-856 Text en Copyright © 2013 Mamudu et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Mamudu, Hadii M John, Rijo M Veeranki, Sreenivas P Ouma, Ahmed E Ogwell The odd man out in Sub-Saharan Africa: understanding the tobacco use prevalence in Madagascar |
title | The odd man out in Sub-Saharan Africa: understanding the tobacco use prevalence in Madagascar |
title_full | The odd man out in Sub-Saharan Africa: understanding the tobacco use prevalence in Madagascar |
title_fullStr | The odd man out in Sub-Saharan Africa: understanding the tobacco use prevalence in Madagascar |
title_full_unstemmed | The odd man out in Sub-Saharan Africa: understanding the tobacco use prevalence in Madagascar |
title_short | The odd man out in Sub-Saharan Africa: understanding the tobacco use prevalence in Madagascar |
title_sort | odd man out in sub-saharan africa: understanding the tobacco use prevalence in madagascar |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3848741/ https://www.ncbi.nlm.nih.gov/pubmed/24044737 http://dx.doi.org/10.1186/1471-2458-13-856 |
work_keys_str_mv | AT mamuduhadiim theoddmanoutinsubsaharanafricaunderstandingthetobaccouseprevalenceinmadagascar AT johnrijom theoddmanoutinsubsaharanafricaunderstandingthetobaccouseprevalenceinmadagascar AT veerankisreenivasp theoddmanoutinsubsaharanafricaunderstandingthetobaccouseprevalenceinmadagascar AT oumaahmedeogwell theoddmanoutinsubsaharanafricaunderstandingthetobaccouseprevalenceinmadagascar AT mamuduhadiim oddmanoutinsubsaharanafricaunderstandingthetobaccouseprevalenceinmadagascar AT johnrijom oddmanoutinsubsaharanafricaunderstandingthetobaccouseprevalenceinmadagascar AT veerankisreenivasp oddmanoutinsubsaharanafricaunderstandingthetobaccouseprevalenceinmadagascar AT oumaahmedeogwell oddmanoutinsubsaharanafricaunderstandingthetobaccouseprevalenceinmadagascar |