Evidence map›Paper›PMID 42271163›Full record

ArticleScientific reports2026

Genetic influences on accelerometer-measured physical activity and sedentary time in children: sex-specific patterns from a Swedish twin study.

Björg Helgadóttir, Rui Wang, Ralf Kuja-Halkola, Camilla A Wiklund, Örjan Ekblom, Maria M Ekblom

Abstract readTwin Study
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Björg HelgadóttirDepartment of Health Sciences, The Swedish School of Sport and Health Sciences, Lidingövägen 1, 114 33, Stockholm, Sweden. bjorg.helgadottir@gih.se.
Rui WangDepartment of Health Sciences, The Swedish School of Sport and Health Sciences, Lidingövägen 1, 114 33, Stockholm, Sweden.
Ralf Kuja-HalkolaDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Camilla A WiklundDepartment of Health Sciences, The Swedish School of Sport and Health Sciences, Lidingövägen 1, 114 33, Stockholm, Sweden.
Örjan EkblomDepartment of Health Sciences, The Swedish School of Sport and Health Sciences, Lidingövägen 1, 114 33, Stockholm, Sweden.
Maria M EkblomDepartment of Health Sciences, The Swedish School of Sport and Health Sciences, Lidingövägen 1, 114 33, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical activity (PA) plays a key role in children's health, yet it remains unclear why girls are often less active and more sedentary than boys. This study examined genetic and environmental (shared and non-shared) influences on device-measured PA and sedentary time (SED) across girls and boys. This cross-sectional study contained data on zygosity, sex, PA, and SED for 2046 9-year-old twins in Sweden. The accelerometer-measured PA was expressed as the proportion of time in SED, light (LPA), moderate (MPA) or vigorous PA (VPA). Structural equation modelling within a twin framework estimated the heritability of PA and SED, decomposing variance into additive genetic (A), shared environment (C), and non-shared environment (E). Quantitative sex differences were examined by allowing the variance components (A, C, E) to differ across sexes. In the total cohort, genetic contribution was highest in VPA (A

Indexed as

AccelerometryExerciseSedentary BehaviorChildCross-Sectional StudiesFemaleHumansMaleSex FactorsSwedenTwins, DizygoticAccelerometerEnvironmentFamiliar factorsHeritabilityTwin study

Identifiers

PMID42271163
PMCPMC13254399

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.