Evidence map›Paper›PMID 31096946›Full record

ArticleBMC pediatrics2019

High sedentary time in children is not only due to screen media use: a cross-sectional study.

Belinda Hoffmann, Susanne Kobel, Olivia Wartha, Sarah Kettner, Jens Dreyhaupt, Jürgen M Steinacker

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 4 pooled it
6.7field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 4 syntheses or guidelines pooled it, 50 citations in OpenAlex.

  1. Pooled it
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  6. Article
  7. Screen time and pulmonary function in hospitalized children with cystic fibrosis.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2026
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  11. Longitudinal associations of screen time, physical activity, and sleep duration with body mass index in U.S. youth.The international journal of behavioral nutrition and physical activity · 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

6 authors at 2 institutions in 1 country.

Belinda HoffmannDivision of Sports- and Rehabilitation Medicine, Center of Medicine, Ulm University Hospital, Leimgrubenweg 14, 89075, Ulm, Germany. belinda.hoffmann@uni-ulm.de.ORCID 0000-0001-5956-5629
Susanne KobelDivision of Sports- and Rehabilitation Medicine, Center of Medicine, Ulm University Hospital, Leimgrubenweg 14, 89075, Ulm, Germany.
Olivia WarthaDivision of Sports- and Rehabilitation Medicine, Center of Medicine, Ulm University Hospital, Leimgrubenweg 14, 89075, Ulm, Germany.
Sarah KettnerDivision of Sports- and Rehabilitation Medicine, Center of Medicine, Ulm University Hospital, Leimgrubenweg 14, 89075, Ulm, Germany.
Jens DreyhauptInstitute of Epidemiology and Medical Biometry, Ulm University, Schwabstraße 13, 89075, Ulm, Germany.
Jürgen M SteinackerDivision of Sports- and Rehabilitation Medicine, Center of Medicine, Ulm University Hospital, Leimgrubenweg 14, 89075, Ulm, Germany.
University Hospital Ulm · DEUniversität Ulm · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSedentary behaviour has become a growing public health concern. Currently, it is a common belief that screen time (SCT) is a key factor in high overall sedentary time (ST) and is often used as a primary outcome. However, the evidence is lacking. Therefore, this study investigated the association of objectively assessed total ST with SCT among children. Further, SCT was investigated separately for sedentary level, weight status, gender, and migration background.

methodsFor 198 primary school children (7.1 ± 0.7 years, boys: 43.9%) ST was assessed objectively using a multi-sensor device (Actiheart®; CamNtech, Cambridge, UK). The sample was split into three groups (tertiles) to investigate SCT of children with low, medium and high ST. SCT and socio-demographic parameters, such as migration background, were assessed using a parental questionnaire; anthropometric data was collected at schools.

resultsAbsolut SCT did not differ significantly among the three sedentary groups: Daily average of SCT was 83.8 ± 55.0 min (27.4% of ST) for children with high ST, 82.8 ± 50.5 min (39.8% of ST) for children with medium ST, and 77.2 ± 59.4 min (71.3% of ST) for those with low ST. However, relatively the SCT percentage of total ST was significantly higher among children with low ST (p < 0.01). Significantly higher SCT was found in children with migration background (p < 0.01), while underweight children had significantly less SCT (p < 0.05). An association of total SCT and overall ST was found for the whole sample (B = 17.11, [2.75; 31.48], p = 0.02), but did not remain when analysis were separated for the groups, except for normal weight children (B = 15.97, [0.13; 31.81], p = 0.05).

conclusionsThe amount of SCT is the same among high, low and medium sedentary children, and high ST is largely independent of SCT. Therefore, SCT cannot be the key contributor to high ST and should not solely be used for predicting or changing children's sedentary behaviour. Moreover, children's weight status to classify activity levels and the role of possible compensation mechanisms should be considered in future research and when trying to intervene on ST.

trial registrationGerman Clinical Trials Register (DRKS), DRKS-ID: DRKS00000494 DATE: 25/08/2010.

Indexed as

Child BehaviorScreen TimeSedentary BehaviorChildComputersCross-Sectional StudiesFemaleGermanyHumansMalePediatric ObesityTelevisionPrimary schoolPublic healthScreen timeSedentary lifestyle

Identifiers

PMID31096946
PMCPMC6521402
OpenAlexW2947507859

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.