Evidence map›Paper›PMID 31401608›Full record

ArticleBMJ open2019

Spatial distribution and correlates of smoking in Zambia.

Herbert Tato Nyirenda, David Mulenga, Moono Silitongo, Herbert Bc Nyirenda, Tambulani Nyirenda

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Herbert Tato NyirendaPublic Health, Copperbelt University, Ndola, Zambia tatonyirenda@gmail.com.ORCID 0000-0001-8045-4384
David MulengaPublic Health, Copperbelt University, Ndola, Zambia.
Moono SilitongoBasic Science, Copperbelt University, Ndola, Copperbelt, Zambia.
Herbert Bc NyirendaAdult and Extension Studies, University of Zambia School of Education, Lusaka, Zambia.
Tambulani NyirendaPublic Administration, University of Zambia School of Humanities and Social Science, Lusaka, Zambia.
Copperbelt University · ZMUniversity of Zambia · ZM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective of the paper was to investigate the spatial distribution and correlates of tobacco smoking in various regions of Zambia.

methodsThis 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.

resultsThe 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.

conclusionTobacco smoking varies between and within regions as well as provinces. Therefore, interventions to curb

Indexed as

AdolescentAdultAge DistributionCross-Sectional StudiesEducational StatusEmploymentFamily CharacteristicsFemaleHumansLogistic ModelsMaleMiddle AgedPopulation SurveillanceRural PopulationSex DistributionSocioeconomic Factorscorrelatesrelative risk ratios (RRR)ruralsmokingspatial distributiontobaccourban

Identifiers

PMID31401608
PMCPMC6701582
OpenAlexW2967975569

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.