Cargando…

Spatial distribution and correlates of smoking in Zambia

OBJECTIVE: The objective of the paper was to investigate the spatial distribution and correlates of tobacco smoking in various regions of Zambia. METHODS: This paper adopts a cross-sectional study design. The study used data from the 2013/2014 Zambia Demographic Health Survey which is a nationwide h...

Descripción completa

Detalles Bibliográficos
Autores principales: Nyirenda, Herbert Tato, Mulenga, David, Silitongo, Moono, Nyirenda, Herbert BC, Nyirenda, Tambulani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6701582/
https://www.ncbi.nlm.nih.gov/pubmed/31401608
http://dx.doi.org/10.1136/bmjopen-2019-030044
_version_ 1783445073394925568
author Nyirenda, Herbert Tato
Mulenga, David
Silitongo, Moono
Nyirenda, Herbert BC
Nyirenda, Tambulani
author_facet Nyirenda, Herbert Tato
Mulenga, David
Silitongo, Moono
Nyirenda, Herbert BC
Nyirenda, Tambulani
author_sort Nyirenda, Herbert Tato
collection PubMed
description OBJECTIVE: The objective of the paper was to investigate the spatial distribution and correlates of tobacco smoking in various regions of Zambia. METHODS: This paper adopts a cross-sectional study design. The study used data from the 2013/2014 Zambia Demographic Health Survey which is a nationwide health survey conducted in all the 10 provinces. A random sample of men and women from 15 920 households was successfully selected and interviewed. All women aged 15–49 and men aged 15–59 who were either permanent residents of the households or visitors present in the households on the night before the survey were eligible to be interviewed. RESULTS: The results show that 8.2% and 11% of Zambians in urban and rural areas smoke, respectively. In urban areas, the risk of being a cigarette smoker was 2.31 (CI: 1.69 to 3.16) and 2.03 (CI: 1.36 to 3.02) times higher for the divorced and separated. However, the risk of being a cigarette smoker was lower for those with some formal education. In rural areas, the risk of being a cigarette smoker was lower for the married (relative risk ratios (RRR): 0.69, CI: 0.55 to 0.86) and those with a formal education. Nevertheless, in rural areas, the risk of being a pipe and other smoker was higher for those who were self-employed (RRR: 8.46, CI: 2.95 to 24.20) and with an occupation (RRR: 2.37, CI: 1.39 to 4.02) but was lower among women. CONCLUSION: Tobacco smoking varies between and within regions as well as provinces. Therefore, interventions to curb smoking should target specific demographic, socioeconomic and cultural factors and how they are spatially distributed.
format Online
Article
Text
id pubmed-6701582
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-67015822019-09-02 Spatial distribution and correlates of smoking in Zambia Nyirenda, Herbert Tato Mulenga, David Silitongo, Moono Nyirenda, Herbert BC Nyirenda, Tambulani BMJ Open Public Health OBJECTIVE: The objective of the paper was to investigate the spatial distribution and correlates of tobacco smoking in various regions of Zambia. METHODS: This paper adopts a cross-sectional study design. The study used data from the 2013/2014 Zambia Demographic Health Survey which is a nationwide health survey conducted in all the 10 provinces. A random sample of men and women from 15 920 households was successfully selected and interviewed. All women aged 15–49 and men aged 15–59 who were either permanent residents of the households or visitors present in the households on the night before the survey were eligible to be interviewed. RESULTS: The results show that 8.2% and 11% of Zambians in urban and rural areas smoke, respectively. In urban areas, the risk of being a cigarette smoker was 2.31 (CI: 1.69 to 3.16) and 2.03 (CI: 1.36 to 3.02) times higher for the divorced and separated. However, the risk of being a cigarette smoker was lower for those with some formal education. In rural areas, the risk of being a cigarette smoker was lower for the married (relative risk ratios (RRR): 0.69, CI: 0.55 to 0.86) and those with a formal education. Nevertheless, in rural areas, the risk of being a pipe and other smoker was higher for those who were self-employed (RRR: 8.46, CI: 2.95 to 24.20) and with an occupation (RRR: 2.37, CI: 1.39 to 4.02) but was lower among women. CONCLUSION: Tobacco smoking varies between and within regions as well as provinces. Therefore, interventions to curb smoking should target specific demographic, socioeconomic and cultural factors and how they are spatially distributed. BMJ Publishing Group 2019-08-10 /pmc/articles/PMC6701582/ /pubmed/31401608 http://dx.doi.org/10.1136/bmjopen-2019-030044 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Public Health
Nyirenda, Herbert Tato
Mulenga, David
Silitongo, Moono
Nyirenda, Herbert BC
Nyirenda, Tambulani
Spatial distribution and correlates of smoking in Zambia
title Spatial distribution and correlates of smoking in Zambia
title_full Spatial distribution and correlates of smoking in Zambia
title_fullStr Spatial distribution and correlates of smoking in Zambia
title_full_unstemmed Spatial distribution and correlates of smoking in Zambia
title_short Spatial distribution and correlates of smoking in Zambia
title_sort spatial distribution and correlates of smoking in zambia
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6701582/
https://www.ncbi.nlm.nih.gov/pubmed/31401608
http://dx.doi.org/10.1136/bmjopen-2019-030044
work_keys_str_mv AT nyirendaherberttato spatialdistributionandcorrelatesofsmokinginzambia
AT mulengadavid spatialdistributionandcorrelatesofsmokinginzambia
AT silitongomoono spatialdistributionandcorrelatesofsmokinginzambia
AT nyirendaherbertbc spatialdistributionandcorrelatesofsmokinginzambia
AT nyirendatambulani spatialdistributionandcorrelatesofsmokinginzambia