Evidence map›Paper›PMID 38771798›Full record

ArticlePloS one2024

Determinants of tobacco use among pregnant women in sub-Saharan Africa. A multilevel mixed-effect logistic regression model.

Setognal Birara Aychiluhm, Kusse Urmale Mare, Betelhem Dagnew, Abubeker Alebachew Seid, Mequannent Sharew Melaku, Kebede Gemeda Sabo, Abay Woday Tadesse, Kedir Y Ahmed

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In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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

8 authors.

Setognal Birara AychiluhmDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.ORCID 0000-0001-7565-7515
Kusse Urmale MareDepartment of Nursing, College of Medicine and Health Sciences, Samara University, Samara, Ethiopia.ORCID 0000-0001-8522-1504
Betelhem DagnewCollege of Veterinary Medicine, Samara University, Samara, Ethiopia.
Abubeker Alebachew SeidDepartment of Nursing, College of Medicine and Health Sciences, Samara University, Samara, Ethiopia.
Mequannent Sharew MelakuDepartment of Health Informatics, Institute of Public Health, University of Gondar, Gondar, Ethiopia.
Kebede Gemeda SaboDepartment of Nursing, College of Medicine and Health Sciences, Samara University, Samara, Ethiopia.
Abay Woday TadesseCurtin School of Population Health, Curtin University, Bentley, Western Australia, Australia.ORCID 0000-0003-0499-4690
Kedir Y AhmedRural Health Research Institute, Charles Sturt University, Orange, New South Wales, Australia.ORCID 0000-0003-3797-5234

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAlthough it is known that maternal tobacco use during pregnancy substantially declined in higher-income countries, information on the magnitude and determinants of tobacco use among pregnant women in sub-Saharan Africa (SSA) remains limited. Establishing evidence on maternal tobacco during pregnancy is crucial for guiding targeted interventions in SSA. This study aimed to determine the overall prevalence of tobacco use and its determinants among pregnant women in SSA countries.

methodsThe study used data from Demographic and Health Surveys conducted in 33 countries across SSA from 2010 and 2021. Our analysis included a total weighted sample of 40,291 pregnant women. A multilevel logistic regression model was used to identify factors associated with maternal tobacco use during pregnancy. The measure of association between explanatory variables and the outcome was reported using adjusted odds ratios (AORs) with 95% confidence intervals (CIs).

resultsThe pooled prevalence of tobacco use among pregnant women in SSA was 1.76% (95% CI: 1.41, 2.12). Our findings showed that pregnant women in the age groups of 25-34 years (AOR 1.44; 95% CI: 1.14, 1.82) and 35+ years (AOR 2.18; 95% CI: 1.68, 2.83) had higher odds of tobacco use during pregnancy. Pregnant women who attained primary education (AOR 0.57; 95% CI: 0.46, 0.70) and secondary or higher education (AOR 0.39; 95% CI: 0.30, 0.53) were associated with lower odds of tobacco use. Similarly, pregnant women who resided in households with a high wealth index (AOR 0.36; 95% CI: 0.55 0.90) and those with media exposure (AOR 0.81; 95% CI: 0.67, 0.99) were less likely to use tobacco during pregnancy.

conclusionThis study revealed that the overall prevalence of maternal tobacco use during pregnancy was relatively low in SSA, but some countries exhibited higher estimates. To address this, it is crucial to implement targeted smoking prevention and cessation strategies, particularly for young pregnant women, those facing socioeconomic disadvantages, and those with lower educational status.

Indexed as

Tobacco UseAdolescentAdultAfrica South of the SaharaFemaleHealth SurveysHumansLogistic ModelsOdds RatioPregnancyPregnant PeoplePrevalenceSmokingSocioeconomic FactorsYoung Adult

Identifiers

PMID38771798
PMCPMC11108210

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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.