Evidence map›Paper›PMID 36674176›Full record

ArticleInternational journal of environmental research and public health2023

The Association of Maternal BMI with Overweight among Children Aged 0-59 Months in Kenya: A Nationwide Cross-Sectional Study.

Amos Mulu, Subas Neupane

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 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
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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, 0 citations in OpenAlex.

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

2 authors at 1 institution in 1 country.

Amos MuluUnit of Health Sciences, Faculty of Social Sciences, Tampere University, 33100 Tampere, Finland.ORCID 0000-0002-7229-9289
Subas NeupaneUnit of Health Sciences, Faculty of Social Sciences, Tampere University, 33100 Tampere, Finland.ORCID 0000-0002-5868-0980
Tampere University · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Childhood overweight is a growing global public health challenge and is prevalent in many countries. We aimed at exploring the prevalence of childhood overweight and the association of maternal body mass index (BMI), maternal demographic factors, and child-related factors with childhood overweight among Kenyan children aged 0-59 months. This study utilized Kenya's 2014 demographic and health survey, which was based on national representative cross-sectional data. A total of 8316 children and their mothers' data were analyzed. Overweight in children and maternal BMI were defined using WHO standard criteria. Multivariate logistics regression models were used to study the association of maternal BMI and childhood overweight. Nationally 5% of Kenyan children aged 0-59 months are overweight (5.5% male vs. 3.8% female). The highest prevalence in overweight among children was found in Central region (6.9%) and lowest in North Eastern (3.1%) which could be explained by the various economic disparities. Maternal BMI with underweight was associated with lower odds (OR 0.30, 95% CI 0.14-0.64) whereas, overweight and obesity were associated with higher odds of overweight (OR for overweight 1.64, 95% CI 1.28-2.11 and OR for obesity 1.74, 95% CI 1.22-2.47) among their children compared to normal weight mothers. Overweight among children is of great concern and therefore initiatives to tackle both child and maternal health are urgently needed.

Indexed as

OverweightPediatric ObesityBody Mass IndexCross-Sectional StudiesFemaleHumansKenyaMaleMothersPrevalenceRisk Factorsbody mass index (BMI)childhooddemographic and health surveyKenyamaternal BMIobesityoverweight

Identifiers

PMID36674176
PMCPMC9859472
OpenAlexW4315797295

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.