Evidence map›Paper›PMID 37237281›Full record

ArticleBMC public health2023

Sugar-sweetened beverage consumption among pregnant women attending general and teaching hospitals in Ibadan, Nigeria : SSB consumption during pregnancy.

Ikeola Adeoye

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

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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

5 citing papers in PubMed, 6 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

1 author at 1 institution in 2 countries.

Ikeola AdeoyeDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria. adeoyeikeola@yahoo.com.ORCID 0000-0003-3085-0965
University of Ibadan · NG

Funding

Wellcome Trust 107768/Z/15/Z
6 · The paper itself

Abstract

backgroundSugar-sweetened beverages (SSBs) have become a global health concern because of their adverse health effects and their association with the obesity pandemic. It has not received much attention in sub-Saharan Africa, including Nigeria, especially among pregnant women. The pattern, frequency and factors associated with SSBs among pregnant women in Ibadan, Nigeria, were investigated.

designData were from the Ibadan Pregnancy Cohort Study - a prospective cohort study investigating 1745 pregnant women from four comprehensive obstetric facilities in Ibadan. A qualitative food frequency questionnaire (FFQ) was used to assess the pregnant women's intake of food and drinks over the previous months. Sugar-sweetened beverage variable and scores were also generated using the principal component analysis with varimax rotation. Factors associated with high SSB scores were examined using multivariate logistics regression analyses at a 5% significance level.

resultsThe most commonly consumed SSBs were cocoa-sweetened beverages, soft drinks, malt drinks, and fruit juice. A quarter of the women (75th percentile) consumed SSB more than once weekly. The factors associated with high SSB on multivariate analysis were; being employed (AOR: 1.52, 95% CI 1.02-2.26), maternal obesity (AOR: 0.065, 95% CI 0.47-0.89), high fruit intake (AOR:3.62, 95% CI 2.62-4.99), high green vegetable consumption (AOR:1.99, 95% CI 1.06-3.74), high milk intake (AOR: 2.13, 95% CI 1.65- 2.74), frequent fast food outlet visit (AOR: 2.19, 95% CI 1.53-1.70), all of these remained significant after adjusting for confounding variables.

conclusionSSBs were common among our study population. Factors associated with high SSBs intake are crucial for implementing locally relevant public health interventions.

Indexed as

Sugar-Sweetened BeveragesBeveragesCohort StudiesFemaleHospitals, TeachingHumansNigeriaPregnancyPregnant PeopleProspective StudiesFactorsFrequencyIbadanPregnancySugar sweetened beverages

Identifiers

PMID37237281
PMCPMC10224601
OpenAlexW4378470377

What OpenQuestion holds

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LicenceCC BY
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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.