Evidence map›Paper›PMID 27793201›Full record

ArticleBMC public health2016

Identifying developmental trajectories of body mass index in childhood using latent class growth (mixture) modelling: associations with dietary, sedentary and physical activity behaviors: a longitudinal study.

Maaike Koning, Trynke Hoekstra, Elske de Jong, Tommy L S Visscher, Jacob C Seidell, Carry M Renders

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 3 pooled it
5.1field-weighted citation impact, top 4% 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

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

33 citing papers in PubMed, 3 syntheses or guidelines pooled it, 61 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

6 authors at 3 institutions in 1 country.

Maaike KoningResearch Centre Healthy Cities, Knowledge Centre for Health and Social work, Windesheim University of Applied Sciences, PO box 10090, 8000 GB, Zwolle, The Netherlands. m.koning@windesheim.nl.
Trynke HoekstraDepartment of Health Sciences and the EMGO Institute for Health and Care Research, VU University Amsterdam, Amsterdam, The Netherlands.
Elske de JongResearch Centre Healthy Cities, Knowledge Centre for Health and Social work, Windesheim University of Applied Sciences, PO box 10090, 8000 GB, Zwolle, The Netherlands.
Tommy L S VisscherResearch Centre Healthy Cities, Knowledge Centre for Health and Social work, Windesheim University of Applied Sciences, PO box 10090, 8000 GB, Zwolle, The Netherlands.
Jacob C SeidellResearch Centre Healthy Cities, Knowledge Centre for Health and Social work, Windesheim University of Applied Sciences, PO box 10090, 8000 GB, Zwolle, The Netherlands.
Carry M RendersResearch Centre Healthy Cities, Knowledge Centre for Health and Social work, Windesheim University of Applied Sciences, PO box 10090, 8000 GB, Zwolle, The Netherlands.
Windesheim University of Applied Sciences · NLAmsterdam UMC Location VUmc · NLEMGO Institute for Health and Care Research · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo date, many epidemiologic studies examining associations between obesity and dietary and sedentary/physical activity behaviors have focused on assessing Body Mass Index (BMI) at one point in time. Recent developments in statistical techniques make it possible to study the potential heterogeneity in the development of BMI during childhood by identifying distinct subpopulations characterized by distinct developmental trajectories. Using Latent Class Growth (Mixture) Modelling (LCGMM) techniques we aimed to identify BMI trajectories in childhood and to examine associations between these distinct trajectories and dietary, sedentary and physical activity behaviors.

methodsThis longitudinal study explored BMI standard deviation score (SDS) trajectories in a sample of 613 children from 4 to 12 years of age. In 2006, 2009 and 2012 information on children's health related behaviors was obtained by parental questionnaires, and children's height and weight were measured. Associations with behaviors were investigated with logistic regression models.

resultsWe identified two BMI SDS trajectories; a decreasing BMI SDS trajectory (n = 416; 68 %) and an increasing BMI SDS trajectory (n = 197; 32 %). The increasing BMI SDS trajectory consisted of more participants of lower socio-economic status (SES) and of non-western ethnicity. Maternal overweight status was associated with being in the increasing BMI SDS trajectory at both baseline and follow-up six years later (2006: Odds Ratio (OR), 2.9; 95 % confidence interval (CI) 1.9 to 4.3; 2012 OR, 1.8; 95 % CI 1.2 to 2.6). The increasing BMI SDS trajectory was associated with the following behaviors; drinking sugared drinks > 3 glasses per day, participation in organized sports < 1 h per week, and TV viewing > 2 h per day, though participation in organized sports at follow-up was the only significant result.

conclusionsOur results indicate the importance of healthy lifestyle behaviors at a young age, and indicate that maternal BMI is a very important risk factor for the development of childhood overweight. Comprehension of heterogeneity in the development of BMI and associations with modifiable health related behaviors is interesting for prevention by targeting high risk behaviors in early childhood, especially in low SES children, children of non-western ethnicity and children whose mother is overweight.

Indexed as

ExerciseBody Mass IndexChildChild BehaviorChild DevelopmentChild, PreschoolDietFemaleHumansLogistic ModelsLongitudinal StudiesMalePediatric ObesityRisk FactorsSurveys and QuestionnairesBody mass indexChildhood overweightDevelopmental trajectoryHealth related behaviorsLatent class growth (mixture) modelsLongitudinal study

Identifiers

PMID27793201
PMCPMC5086035
OpenAlexW2543801159

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.