Evidence map›Paper›PMID 34717589›Full record

ArticleBMC public health2021

Sociodemographic factors and social media use in 9-year-old children: the Generation R Study.

Yueyue You, Junwen Yang-Huang, Hein Raat, Amy van Grieken

Abstract read
In one paragraph

Article in BMC public health, 2021. 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

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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. Observational
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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.

Yueyue YouThe Generation R Study Group, Erasmus Medical Center, Rotterdam, The Netherlands.
Junwen Yang-HuangThe Generation R Study Group, Erasmus Medical Center, Rotterdam, The Netherlands.
Hein RaatDepartment of Public Health, Erasmus Medical Center, P.O. box 2040, 3000, CA, Rotterdam, The Netherlands.
Amy van GriekenDepartment of Public Health, Erasmus Medical Center, P.O. box 2040, 3000, CA, Rotterdam, The Netherlands. a.vangrieken@erasmusmc.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to investigate the associations between sociodemographic factors and instant messaging and social network site exposure among 9-year-old children.

methodsData of 4568 children from the Generation R study, a population-based cohort study performed in Rotterdam, the Netherlands, were analyzed. Instant messaging exposure was defined as using online chat applications such as MSN, chat boxes, WhatsApp, and Ping. Social network site exposure was defined as using Hyves or Facebook. A series of multiple logistic regression analyses were performed, adjusting for covariates.

resultsChildren of low educated mothers had a higher odds ratio (OR) for instant messaging (OR: 1.44, 95% CI: 1.12, 1.86) and social network site exposure (OR: 1.73, 95% CI: 1.13, 2.66) than their counterparts. Being a child from a single-parent family was associated with instant messaging (OR: 1.48, 95% CI: 1.16, 1.88) and social network site exposure (OR: 1.34, 95% CI: 1.01, 1.78) more often than their counterparts. Children of low educated fathers (OR: 1.48, 95% CI: 1.12, 1.95) or from families with financial difficulties (OR: 1.28, 95% CI: 1.04, 1.59) were associated with a higher OR of social network site exposure than their counterparts.

conclusionThe findings suggest that several indicators of lower social position are associated with higher social network site and instant messaging exposure among 9-year-old children. More research is needed in younger children to understand the determinants and impact of social media use.

Indexed as

Social MediaChildCohort StudiesHumansNetherlandsSociodemographic FactorsHealthy social media use;Instant messagingSocial network siteSociodemographic inequalityYoung children

Identifiers

PMID34717589
PMCPMC8557565

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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.