Evidence map›Paper›PMID 26508462›Full record

ArticleEuropean journal of clinical nutrition2016

Skipping breakfast in early childhood and its associations with maternal and child BMI: a study of 2-5-year-old Australian children.

N A Alsharairi, S M Somerset

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Article in European journal of clinical nutrition, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

2 authors.

N A AlsharairiGriffith Health Institute, Griffith University, Gold Coast, QLD, Australia.
S M SomersetSchool of Allied Health, Australian Catholic University, Brisbane, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesEvidence supporting the association between skipping breakfast and children's body mass index (BMI) has been widely reported, and some consideration has been given to children aged 2-5 years. However, no evidence has considered an association between children skipping breakfast and mother's BMI. This study therefore investigated associations between skipping breakfast, child's BMI and mother's BMI in a large cohort of Australian children. SUBJECTS/

methodsData were drawn from wave 2 (2-3 years, n=4601) and wave 3 (4-5 years, n=4381) of the Longitudinal Study of Australian Children. The primary outcome was skipping breakfast. Child's and mother's BMI was assessed by trained professionals.

resultsGirls at 4-5 years were significantly more likely to skip breakfast compared with boys (56.9% versus 43.1%; P=0.031). In cross-sectional data analysis, obese boys at 2-3 years (odds ratio (OR) 2.38; P=0.039) and at 4-5 years (OR 2.32; P=0.046), and also obese girls at 4-5 years (OR 2.26; P=0.018), were more likely to skip breakfast. Skipping breakfast was positively associated with boys at 2-3 years (OR 2.04; P=0.042) whose mothers were overweight and with girls at 4-5 years (OR 2.60; P=0.001) whose mothers were obese. In longitudinal cross-lagged analysis, boys at 2-3 years whose mothers were obese were more likely to skip breakfast 2 years later at age 4-5 years (OR 2.36; P=0.045).

conclusionsSkipping breakfast was associated with higher BMI in children and mothers. Future interventions should target obese mothers to promote breakfast intake among children. The interventions may involve changes to dietary and lifestyle habits and provision of education on the benefits of breakfast intake.

Indexed as

Body Mass IndexBreakfastFeeding BehaviorAdultAustraliaChild BehaviorChild, PreschoolCross-Sectional StudiesDietFemaleHealth BehaviorHumansLife StyleLogistic ModelsLongitudinal StudiesMale

Identifiers

PMID26508462

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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.