Evidence map›Paper›PMID 31826887›Full record

ArticleBMJ open2019

Associations between socioeconomic position and changes in children's screen-viewing between ages 6 and 9: a longitudinal study.

Ruth E Salway, Lydia Emm-Collison, Simon Sebire, Janice L Thompson, Russ Jago

Abstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Sleep Duration and Sun Exposure in Portuguese Children: Associations With Obesity Indicators.American journal of human biology : the official journal of the Human Biology Council · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Article
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.

Ruth E SalwayCentre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK ruth.salway@bristol.ac.uk.ORCID 0000-0002-3242-3951
Lydia Emm-CollisonCentre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK.
Simon SebireCentre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK.
Janice L ThompsonSchool of Sport and Exercise Sciences, The University of Birmingham, Birmingham, UK.
Russ JagoCentre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK.ORCID 0000-0002-3394-0176

Funding

British Heart Foundation PG/11/51/28986British Heart Foundation SP 14/4/31123British Heart Foundation SP/14/4/31123
6 · The paper itself

Abstract

objectivesTo explore socioeconomic differences in screen-viewing at ages 6 and 9, and how these are related to different media uses.

designLongitudinal cohort study.

settingChildren recruited from 57 state-funded primary schools in Southwest England, UK.

participants1299 children at ages 5-6, 1223 children at ages 8-9, including 685 children at both time points. OUTCOME MEASURES: Children's total screen-viewing time (parent-reported) and time spent using multiple screen devices simultaneously (multiscreen viewing), for weekdays and weekends.

methodsNegative binomial regression was used to model associations between socioeconomic variables (highest household education and area deprivation) and total screen-viewing at age 6 and the change from age 6 to 9. We additionally adjusted for child characteristics, parental influences and media devices in the home. Multiscreen viewing was analysed separately.

resultsHousehold education was associated with children's screen-viewing at age 6 with lower screen-viewing in higher socioeconomic groups (21%-27% less in households with a Degree or Higher Degree, compared with General Certificate of Secondary Education: GCSE). These differences were explained by the presence of games consoles, parental limits on screen-viewing and average parent screen-viewing. Between ages 6 and 9, there were larger increases in screen-viewing for children from A level and Degree households (13% and 6%, respectively, in the week) and a decrease in Higher Degree households (16%), compared with GCSE households. Differences by household education remained when adjusting for media devices and parental factors.

conclusionsChildren's screen-viewing patterns differ by parental education with higher levels of viewing among children living in households with lower educational qualifications. These differences are already present at age 6, and continue at age 9. Strategies to manage child sedentary time, and particularly screen-viewing, may need to take account of the socioeconomic differences and target strategies to specific groups.

Indexed as

Child BehaviorEducational StatusParent-Child RelationsScreen TimeSocial ClassChildComputersEnglandFemaleHumansLongitudinal StudiesMaleParentingParentsSchoolsSedentary Behaviorcohortcomputer gamespaediatricsscreen-viewingTV

Identifiers

PMID31826887
PMCPMC6924727

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.