Evidence map›Paper›PMID 29665291›Full record

ArticlePediatric obesity2018

Circannual variation in relative weight of children 5 to 16 years of age.

S Bhutani, L P Hanrahan, J Vanwormer, D A Schoeller

Abstract read
In one paragraph

Article in Pediatric obesity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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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

4 authors.

S BhutaniDepartment of Nutritional Sciences, University of Wisconsin - Madison, Madison, WI, USA.
L P HanrahanDepartment of Family Medicine and Community Health, University of Wisconsin - Madison, Madison, WI, USA.
J VanwormerCenter for Clinical Epidemiology and Population Health, Marshfield Clinic Research Institute, Marshfield, WI, USA.
D A SchoellerDepartment of Nutritional Sciences, University of Wisconsin - Madison, Madison, WI, USA.ORCID 0000-0002-5770-3853

Funding

TRAINING IN NUTRITIONT32DK007665 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI GUY E GROBLEWSKI, Chi- Liang Eric Yen · 1993 to 2026
$9.2M
NIDDK NIH HHS T32 DK007665
6 · The paper itself

Abstract

backgroundSummer weight gain in children has been reported; however, this is usually based on two time points. Our objective was to investigate monthly variation in weight status.

methodsCross-sectional, de-identified health records including height, weight and demographics, collected between 2007 and 2012 from South Central Wisconsin in 70 531 children age 5-16 years were analysed. The monthly averages in body mass index (BMI) z-score were analysed cross-sectionally followed by a paired analysis for a subset with one visit each during school and summer months.

resultsBMI z-scores during the summer months (June-August) were lower than values during the school year (September-May). Of note, there was a rapid decrease in BMI z-scores from May to June, with June BMI z-score values being 0.065 units less (95% CI 0.046-0.085) than those in May, little change from June to August and a rapid increase between the August and September BMI z-scores.

conclusionThe monthly pattern does not fully agree with previous two-point school-based studies. Results raise concern that the use of two time point measures of BMIs (early fall and late spring) is suboptimal for evaluation of circannual variation. We suggest that future evaluation of the effect of school-based or summer interventions utilizes additional measures in those periods so that a seasonal analysis can be performed.

Indexed as

Body WeightAdolescentBody Mass IndexChildChild, PreschoolCross-Sectional StudiesFemaleHumansMaleSeasonsWeight GainChildrenelectronic medical recordsevaluationobesityprevention

Identifiers

PMID29665291
PMCPMC6441331

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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.