Evidence map›Paper›PMID 30744602›Full record

ArticleBMC pediatrics2019

Cross-sectional associations of objectively assessed sleep duration with physical activity, BMI and television viewing in German primary school children.

Susanne Kobel, Olivia Wartha, Jens Dreyhaupt, Sarah Kettner, 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 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
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  5. Socioeconomic status and sleep health: a narrative synthesis of 3 decades of empirical research.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2023
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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 at 1 institution in 1 country.

Susanne KobelDivision of Sports and Rehabilitation Medicine, Department of Internal Medicine II, Ulm University Medical Centre, Frauensteige 6, Haus 58/33, D-89075, Ulm, Germany. susanne.kobel@uni-ulm.de.ORCID 0000-0002-0545-1500
Olivia WarthaDivision of Sports and Rehabilitation Medicine, Department of Internal Medicine II, Ulm University Medical Centre, Frauensteige 6, Haus 58/33, D-89075, Ulm, Germany.
Jens DreyhauptInstitute of Epidemiology and Medical Biometry, Ulm University, Schwabstr. 13, D-89075, Ulm, Germany.
Sarah KettnerDivision of Sports and Rehabilitation Medicine, Department of Internal Medicine II, Ulm University Medical Centre, Frauensteige 6, Haus 58/33, D-89075, Ulm, Germany.
Jürgen M SteinackerDivision of Sports and Rehabilitation Medicine, Department of Internal Medicine II, Ulm University Medical Centre, Leimgrubenweg 14, D-89075, Ulm, Germany.
Universität Ulm · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe global incidence of overweight and obesity has increased dramatically among children and adolescents over the past decades. Insufficient sleep duration and physical inactivity are known risk factors for overweight and obesity in children. To engage children in a healthier lifestyle knowledge about associations of sleep duration and behavioural aspects in children are vital. Therefore, this study investigated the mentioned associations in German primary school children.

methodsData of 308 first and second graders (7.1 ± 0.6 years) was used; children's anthropometric data were taken during a school visit. Children's physical activity (PA) and sleep duration were assessed objectively (Actiheart©, CamNtech Ltd., Cambridge, UK); children's daily television time and socio-demographic data were collected via parental questionnaire. Linear mixed-effects regression models as well as logistic regressions were used to determine associations of PA, television viewing, age, gender, BMI z-scores and socio-economic variables on sleep duration.

resultsIn linear regression models young age and not having a migration background were significantly associated with long sleep duration (p < 0.001). In logistic regressions, long night time sleep (≥10:08 h; compared to medium and short sleep duration) was significantly associated with not reaching the PA guideline (OR 0.60 [0.36;0.99]), daily television viewing of less than one hour (OR 0.44 [0.24;0.80]), young age (OR 0.38 [0.21;067]), a high parental education level (OR 0.52 [0.27;0.99]) and the lack of migration background (OR 0.21 [0.10;0.48]). However, if controlling for age, gender, parental education level and migration background, reaching the PA guideline stayed no longer significantly associated with a tertiary sleep level.

conclusionsChildren in the highest sleep category showed a negative association with reaching the PA guideline and a positive association with daily television viewing. This therefore adds to previously primarily subjectively assessed associations of sleep and risk factors for obesity (related behaviours) with a detailed insight based on objective data. Hence, interventions trying to decrease children's BMI and television viewing should also aim at extending children's night-time sleep and inform parents about the importance of sufficient sleep during childhood.

trial registrationDRKS-ID: DRKS00000494 .

Indexed as

Body Mass IndexExerciseTelevisionChildCross-Sectional StudiesEducational StatusEmigration and ImmigrationFemaleGermanyHumansMaleParentsPediatric ObesityRegression AnalysisRisk FactorsSedentary BehaviorAccelerometerBody compositionMigrationMVPATV watching

Identifiers

PMID30744602
PMCPMC6369549
OpenAlexW2921150399

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.