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Tobacco use and its determinants in the 2015 Kenya WHO STEPS survey

BACKGROUND: According to the World Health Organization (WHO), in 2015, over 1.1 billion people smoked tobacco, which represents around 15% of the global population. In Africa, around one in five adults smoke tobacco. The 2014 Kenya Global Adult Tobacco Survey reported that 2.5 million adults use tob...

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Autores principales: Ngaruiya, Christine, Abubakar, Hussein, Kiptui, Dorcas, Kendagor, Ann, Ntakuka, Melau W, Nyakundi, Philip, Gathecha, Gladwell
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6219013/
https://www.ncbi.nlm.nih.gov/pubmed/30400915
http://dx.doi.org/10.1186/s12889-018-6058-5
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author Ngaruiya, Christine
Abubakar, Hussein
Kiptui, Dorcas
Kendagor, Ann
Ntakuka, Melau W
Nyakundi, Philip
Gathecha, Gladwell
author_facet Ngaruiya, Christine
Abubakar, Hussein
Kiptui, Dorcas
Kendagor, Ann
Ntakuka, Melau W
Nyakundi, Philip
Gathecha, Gladwell
author_sort Ngaruiya, Christine
collection PubMed
description BACKGROUND: According to the World Health Organization (WHO), in 2015, over 1.1 billion people smoked tobacco, which represents around 15% of the global population. In Africa, around one in five adults smoke tobacco. The 2014 Kenya Global Adult Tobacco Survey reported that 2.5 million adults use tobacco products. The objective of our study was to describe patterns and determinants of tobacco use from the 2015 Kenya STEPS survey, including use of “smokeless” tobacco products and the more novel e-cigarettes. METHODS: The WHO STEPwise approach to surveillance (STEPS) was completed in Kenya between April and June 2015. Logistic regression analyses was used to assess factors affecting prevalence and frequency of tobacco use. Sociodemographic variables associated with tobacco use were considered: age, sex, level of education, wealth quintile, and residence. The relationship with alcohol as an intervening risk factor was also assessed. Our main outcomes of interest were current tobacco use, daily tobacco use and use of smokeless tobacco products. RESULTS: Of 4484 respondents, 605 (13.5%) reported being current tobacco users. Most active tobacco users were male (n = 507/605, 83.8%). Three out of four tobacco users (n = 468/605, 77.4%) reported being less than 50 years old, with the average start age being 21 (20.6, 95% CI 19.3–21.8) and the average quit age 27 (27.2, 95% CI 25.8–28.6). Most tobacco users had only ever attended up to primary school (n = 434/605, 71.7%). Men had nearly seven times higher odds of being tobacco users as compared to women (OR 7.63, 95% CI 5.63–10.33). Alcohol use had a positive effect on tobacco use. Finally, less than ten respondents reported having used e-cigarettes. CONCLUSION: The 2015 Kenya WHO STEPS provided primary data on the status of tobacco use in the country and other leading NCD risk factors, such as alcohol, and associated diseases. Our findings highlight key target populations for tobacco cessation efforts: young people, men, those with lower levels of education, and alcohol consumers. Further data is needed on the use of smokeless tobacco, and its impact on smoked tobacco products, as well as on the novel use of e-cigarettes.
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spelling pubmed-62190132018-11-16 Tobacco use and its determinants in the 2015 Kenya WHO STEPS survey Ngaruiya, Christine Abubakar, Hussein Kiptui, Dorcas Kendagor, Ann Ntakuka, Melau W Nyakundi, Philip Gathecha, Gladwell BMC Public Health Research BACKGROUND: According to the World Health Organization (WHO), in 2015, over 1.1 billion people smoked tobacco, which represents around 15% of the global population. In Africa, around one in five adults smoke tobacco. The 2014 Kenya Global Adult Tobacco Survey reported that 2.5 million adults use tobacco products. The objective of our study was to describe patterns and determinants of tobacco use from the 2015 Kenya STEPS survey, including use of “smokeless” tobacco products and the more novel e-cigarettes. METHODS: The WHO STEPwise approach to surveillance (STEPS) was completed in Kenya between April and June 2015. Logistic regression analyses was used to assess factors affecting prevalence and frequency of tobacco use. Sociodemographic variables associated with tobacco use were considered: age, sex, level of education, wealth quintile, and residence. The relationship with alcohol as an intervening risk factor was also assessed. Our main outcomes of interest were current tobacco use, daily tobacco use and use of smokeless tobacco products. RESULTS: Of 4484 respondents, 605 (13.5%) reported being current tobacco users. Most active tobacco users were male (n = 507/605, 83.8%). Three out of four tobacco users (n = 468/605, 77.4%) reported being less than 50 years old, with the average start age being 21 (20.6, 95% CI 19.3–21.8) and the average quit age 27 (27.2, 95% CI 25.8–28.6). Most tobacco users had only ever attended up to primary school (n = 434/605, 71.7%). Men had nearly seven times higher odds of being tobacco users as compared to women (OR 7.63, 95% CI 5.63–10.33). Alcohol use had a positive effect on tobacco use. Finally, less than ten respondents reported having used e-cigarettes. CONCLUSION: The 2015 Kenya WHO STEPS provided primary data on the status of tobacco use in the country and other leading NCD risk factors, such as alcohol, and associated diseases. Our findings highlight key target populations for tobacco cessation efforts: young people, men, those with lower levels of education, and alcohol consumers. Further data is needed on the use of smokeless tobacco, and its impact on smoked tobacco products, as well as on the novel use of e-cigarettes. BioMed Central 2018-11-07 /pmc/articles/PMC6219013/ /pubmed/30400915 http://dx.doi.org/10.1186/s12889-018-6058-5 Text en © The Author(s). 2018 Open Access This 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
Ngaruiya, Christine
Abubakar, Hussein
Kiptui, Dorcas
Kendagor, Ann
Ntakuka, Melau W
Nyakundi, Philip
Gathecha, Gladwell
Tobacco use and its determinants in the 2015 Kenya WHO STEPS survey
title Tobacco use and its determinants in the 2015 Kenya WHO STEPS survey
title_full Tobacco use and its determinants in the 2015 Kenya WHO STEPS survey
title_fullStr Tobacco use and its determinants in the 2015 Kenya WHO STEPS survey
title_full_unstemmed Tobacco use and its determinants in the 2015 Kenya WHO STEPS survey
title_short Tobacco use and its determinants in the 2015 Kenya WHO STEPS survey
title_sort tobacco use and its determinants in the 2015 kenya who steps survey
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6219013/
https://www.ncbi.nlm.nih.gov/pubmed/30400915
http://dx.doi.org/10.1186/s12889-018-6058-5
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