Evidence map›Paper›PMID 29914455›Full record

ArticleBMC public health2018

Clustering and correlates of screen-time and eating behaviours among young children.

Natalie Pearson, Stuart J H Biddle, Paula Griffiths, Julie P Johnston, Emma Haycraft

Abstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 4 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

31 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Tracking and changes in the clustering of physical activity, sedentary behavior, diet, and sleep across childhood and adolescence: A systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Pooled it
  2. Pooled it
  3. The relationship between the home environment and child adiposity: a systematic review.The international journal of behavioral nutrition and physical activity · 2021
    Pooled it
  4. Unravelling the association between accelerometer-derived physical activity and adiposity among preschool children: A systematic review and meta-analyses.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2020
    Pooled it
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  12. Associations between parent-adolescent health-related conversations and mealtime media use among Hispanic families.Families, systems & health : the journal of collaborative family healthcare · 2024
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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

5 authors.

Natalie PearsonSchool of Sport, Exercise & Health Sciences, National Centre for Sport & Exercise Medicine, Loughborough University, Loughborough, Leicestershire, LE11 3TU, UK. n.l.pearson@lboro.ac.uk.ORCID 0000-0003-2060-5966
Stuart J H BiddleInstitute for Resilient Regions, University of Southern Queensland, Springfield, Australia.
Paula GriffithsSchool of Sport, Exercise & Health Sciences, National Centre for Sport & Exercise Medicine, Loughborough University, Loughborough, Leicestershire, LE11 3TU, UK.
Julie P JohnstonDepartment of Sport Science, School of Science and Technology, Nottingham Trent University, Nottingham, UK.
Emma HaycraftSchool of Sport, Exercise & Health Sciences, National Centre for Sport & Exercise Medicine, Loughborough University, Loughborough, Leicestershire, LE11 3TU, UK.

Funding

British Heart Foundation PG/12/70/29777British Heart Foundation (GB) PG/12/70/29777
6 · The paper itself

Abstract

backgroundScreen-time and unhealthy dietary behaviours are highly pervasive in young children and evidence suggests that these behaviours often co-occur and are associated. Identifying clusters of unhealthy behaviours, and their influences early in childhood, can assist in the development of targeted preventive interventions. The purpose of this study was to examine the sociodemographic, behavioural, and home physical environmental correlates of co-occurring screen-time and unhealthy eating behaviours and to assess the clustering of screen-time and unhealthy dietary behaviours in young children.

methodsParents of 126 children, from the UK, aged 5-6 years (49% boys) completed a questionnaire which assessed their child's screen-time (ST), fruit and vegetable (FV), and energy-dense (ED) snack consumption. Categories of health behaviours were created based on frequencies of children meeting recommendations for FV and ST and median splits of frequencies for ED snacks. Parents reported on their own behaviours (ST, FV, and ED snack consumption), how often they ate meals and watched TV with their child, and on the availability and accessibility of foods within the home. An observed over expected ratio (O/E) was used to assess behavioural clustering. Multivariable multinomial logistic regression was used to examine correlates of behaviour patterns.

resultsApproximately 25% of children had two or three health risk behaviours. Correlates consistently associated with clusters included parental income, eating meals at the TV, parental ST and ED snack food consumption, and home availability of ED snack foods. Observed over expected ratios were close to 1 and ranged from 0.78 to 1.43. The three-risk behaviour combination of insufficient FV consumption, high ED snack consumption, and excessive ST occurred more frequently than expected (1.23 (95% CI 0.89, 1.58)).

conclusionsST and unhealthy dietary behaviours cluster in children as young as 5 years of age and parents' own behaviours appear to be important influencing factors. Further research into the development of behavioural clustering in young children to identify and further understand the mechanisms underlying the synergy among health behaviours is needed. Feasibility interventions promoting reductions in both screen-time and unhealthy dietary behaviours reciprocally, while simultaneously focusing on changing parental behaviours, are warranted.

Indexed as

Screen TimeChildChild BehaviorChild, PreschoolCluster AnalysisDietEnergy IntakeFeeding BehaviorFemaleFruitHabitsHealth BehaviorHumansMaleMealsParentsChildrenClusteringCorrelatesEnergy-dense snacksFruitScreen-timeVegetables

Identifiers

PMID29914455
PMCPMC6006584

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.