Evidence map›Paper›PMID 41803381›Full record

ArticleInternational journal of obesity (2005)2026

Longitudinal associations between screen time and whole-body adiposity during the first decade of life: insights from the GUSTO cohort.

Chloé Vainqueur, Natarajan Padmapriya, Mya Thway Tint, Fabian Yap, Yung Seng Lee, Seang Mei Saw, Kok Hian Tan, Lynette P Shek, Yap Seng Chong, Keith M Godfrey and 6 more

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of obesity (2005), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Review
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

16 authors.

Chloé VainqueurCentre for Research in Epidemiology and Statistics (CRESS), Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, F-75004, Paris, France.
Natarajan PadmapriyaSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-6077-6316
Mya Thway TintInstitute for Human Development and Potential (IHDP), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.ORCID 0000-0002-9548-7186
Fabian YapKK Women's and Children's Hospital, Singapore, Singapore.ORCID 0000-0003-1083-7958
Yung Seng LeeInstitute for Human Development and Potential (IHDP), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.ORCID 0000-0002-1253-0557
Seang Mei SawSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Kok Hian TanKK Women's and Children's Hospital, Singapore, Singapore.
Lynette P ShekInstitute for Human Development and Potential (IHDP), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Yap Seng ChongDepartment of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Keith M GodfreyMedical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK.ORCID 0000-0002-4643-0618
Johan G ErikssonDepartment of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Sandrine LioretCentre for Research in Epidemiology and Statistics (CRESS), Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, F-75004, Paris, France.ORCID 0000-0002-2483-7820
Barbara HeudeCentre for Research in Epidemiology and Statistics (CRESS), Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, F-75004, Paris, France.ORCID 0000-0002-1565-1629
Falk Müller-RiemenschneiderSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Jonathan Y Bernard *Centre for Research in Epidemiology and Statistics (CRESS), Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, F-75004, Paris, France. jonathan.bernard@inserm.fr.ORCID 0000-0002-6418-983X
Lorraine Poncet *Centre for Research in Epidemiology and Statistics (CRESS), Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, F-75004, Paris, France.

Funding

British Heart Foundation RG/15/17/3174UK Medical Research Council MC_UU_12011/4
6 · The paper itself

Abstract

BACKGROUND/

objectivesChildhood obesity remains a pressing public health challenge worldwide. With screen viewing emerging as a major contributor to sedentary time, it is crucial to assess the extent to which screen viewing contributes to excessive body fat in children. The aim of this study was to examine the associations between screen time and subsequent adiposity in children from the Singapore GUSTO cohort. SUBJECTS/

methodsAt ages 2 and 3 years, parents reported their child's screen time, including television and handheld devices. Body fat was assessed repeatedly between ages 4 and 10 years using various methods, including body mass index (BMI), BMI z-score (zBMI), skinfold thicknesses, and whole-body body fat percentage using air displacement plethysmography (BOD POD

resultsThe average ( ± SD) screen time at 2-3 years was 2.5 ( ± 1.8) h/day. At 8 years, average body fat percentage measured by BOD POD

conclusionsGreater screen time, notably television time, was prospectively associated with greater adiposity among boys, but not in girls. Future studies should investigate the potential mediating mechanisms involved in this sex-specific relationship. STUDY REGISTRATION: This cohort study was registered on the 4

Indexed as

AdiposityPediatric ObesityScreen TimeBody Mass IndexChildChild, PreschoolFemaleHumansLongitudinal StudiesMaleMedia ExposureSedentary BehaviorSingaporeTelevision

Identifiers

What OpenQuestion holds

Textmetadata
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.