Evidence map›Paper›PMID 41374653›Full record

SynthesisSensors (Basel, Switzerland)2025

Wearable-Sensor-Based Physical Activity and Sleep in Children with Down Syndrome Aged 0-5 Years: A Systematic Review.

Gilson Borges, Vanessa Moreira, Fabio Bertapelli

Abstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2025. 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

3 authors.

Gilson BorgesDepartment of Human Movement Sciences, Federal University of São Paulo, Santos 11015-020, Brazil.ORCID 0009-0001-3302-0513
Vanessa MoreiraDepartment of Human Movement Sciences, Federal University of São Paulo, Santos 11015-020, Brazil.ORCID 0009-0009-7658-1562
Fabio BertapelliDepartment of Human Movement Sciences, Federal University of São Paulo, Santos 11015-020, Brazil.ORCID 0000-0003-2238-3842

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo 2022/12022-8
6 · The paper itself

Abstract

Wearables enable objective measurement of physical activity (PA) and sleep. Studies that have examined PA and sleep in children with Down syndrome (DS) have not been systematically reviewed. The objectives of this systematic review (PROSPERO: CRD420251036478) were to: (1) describe patterns of PA and sleep in children with DS; (2) compare PA and sleep between DS and non-DS; and (3) evaluate sensor data collection procedures. Searches were conducted in PubMed, Scopus, Web of Science, Embase, and SPORTDiscus, with the last search on 7 October 2025. Risk of bias was assessed with the Joanna Briggs Institute tools. From 203 records, 9 original studies were included. Children with DS (n = 8-66 participants; 1-67 months) showed small changes in movement rates over time and greater upper- than lower-limb movements. Segment-specific counts and time spent on high-intensity activity were lower in DS than non-DS. Overall, children with DS exhibited poor sleep quality, sleeping approximately one hour less than controls and 3-7 h below global recommendations. Sensor data collection protocols varied in epoch length (15-30 s), attachment site (wrist, ankle, and hip), and device model. Population-based research employing standardized sensor procedures is warranted to better establish PA levels and sleep quality in children with DS.

Indexed as

Down SyndromeExerciseSleepWearable Electronic DevicesChild, PreschoolFemaleHumansInfantInfant, NewbornMaleaccelerometryDown syndromephysical activitysleepsystematic reviewwearable device

Identifiers

PMID41374653
PMCPMC12694535

What OpenQuestion holds

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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.