Evidence map›Paper›PMID 38020266›Full record

ArticleJournal of public health in Africa2023

Knowledge of pregnant women regarding tobacco and alcohol use in pregnancy at Mariental clinic, Hardap region: a quantitative study.

Selma Hamutenya, Emma Maano Nghitanwa, Marian Sankombo

Abstract read
In one paragraph

Article in Journal of public health in Africa, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Selma HamutenyaSchool of Nursing and Public Health, University of Namibia, Namibia.
Emma Maano NghitanwaSchool of Nursing and Public Health, University of Namibia, Namibia.
Marian SankomboSchool of Nursing and Public Health, University of Namibia, Namibia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally, alcohol and tobacco use during pregnancy is a challenge and linked to negative effects on health and wellbeing on both mother and the fetus. To investigate the knowledge of pregnant women attending antenatal care at Mariental clinic regarding the use of tobacco and alcohol in pregnancy. A quantitative approach with descriptive, cross-sectional, analytical design was used. The population were all pregnant women attending antenatal care at Mariental clinic. Systematic sampling method was used to select the sample of 224 pregnant women. Data was collected using a self-administered questionnaire that collected information on sociodemographic data and knowledge on tobacco and alcohol use. Data was analysed using Statistical Package of the Social Sciences (SPSS) version 27. Descriptive statistics was utilized to generatee frequencies and percentages. Fisher's Exact test at 0.05 alpha level was used to determine the association between variables. The mean age was 28.8 with a standard deviation of 6.9 years. Most participants, 43.6% were aged between 18 and 24 years. Majority, 88.15% were in third trimester of pregnancy, 73% were single, and unemployed. Most participants 78.7% have a high level of knowledge regarding the use of alcohol during pregnancy and 70.1% have higher level of knowledge regarding tobacco use during pregnancy. No association was found on the level of knowledge on alcohol and tobacco use during pregnancy and socio demographic characteristics as all variables show a P-value of more than 0.05. Participants have higher knowledge on alcohol and tobacco use during pregnancy.

Indexed as

alcoholknowledgepregnancypregnant womentobacco

Identifiers

PMID38020266
PMCPMC10658466

What OpenQuestion holds

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Registered trials

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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.