Evidence map›Paper›PMID 41183377›Full record

SynthesisJournal of medical Internet research2025

Adherence to Actigraphic Devices in Elementary School-Aged Children: Systematic Review and Meta-Analysis.

Anna C Morris, Asilay Seker, Laurence Telesia, Alice Wickersham, Brian Cf Ching, Rahul Roy, Sophie Epstein, Faith Matcham, Edmund Sonuga-Barke, Johnny Downs

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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

10 authors.

Anna C MorrisCAMHS Digital Lab, King's Maudsley Partnership, IOPPN, King's College London and South London and Maudsley NHS Foundation Trust, 16 De Crespigny Park, London, SE5 8AB, United Kingdom.ORCID http://orcid.org/0000-0002-8691-9653
Asilay SekerCAMHS Digital Lab, King's Maudsley Partnership, IOPPN, King's College London and South London and Maudsley NHS Foundation Trust, 16 De Crespigny Park, London, SE5 8AB, United Kingdom.ORCID http://orcid.org/0000-0002-6229-3924
Laurence TelesiaCAMHS Digital Lab, King's Maudsley Partnership, IOPPN, King's College London and South London and Maudsley NHS Foundation Trust, 16 De Crespigny Park, London, SE5 8AB, United Kingdom.ORCID http://orcid.org/0000-0002-4670-4391
Alice WickershamCAMHS Digital Lab, King's Maudsley Partnership, IOPPN, King's College London and South London and Maudsley NHS Foundation Trust, 16 De Crespigny Park, London, SE5 8AB, United Kingdom.ORCID http://orcid.org/0000-0002-7402-7690
Brian Cf ChingCAMHS Digital Lab, King's Maudsley Partnership, IOPPN, King's College London and South London and Maudsley NHS Foundation Trust, 16 De Crespigny Park, London, SE5 8AB, United Kingdom.ORCID http://orcid.org/0000-0002-2179-9793
Rahul RoyCAMHS Digital Lab, King's Maudsley Partnership, IOPPN, King's College London and South London and Maudsley NHS Foundation Trust, 16 De Crespigny Park, London, SE5 8AB, United Kingdom.ORCID http://orcid.org/0009-0009-6032-4780
Sophie EpsteinCAMHS Digital Lab, King's Maudsley Partnership, IOPPN, King's College London and South London and Maudsley NHS Foundation Trust, 16 De Crespigny Park, London, SE5 8AB, United Kingdom.ORCID http://orcid.org/0000-0002-2118-908X
Faith MatchamSchool of Psychology, University of Sussex, Brighton and Hove, United Kingdom.ORCID http://orcid.org/0000-0002-4055-904X
Edmund Sonuga-BarkeDepartment of Child and Adolescent Psychiatry, IOPPN, King's College London, London, United Kingdom.ORCID http://orcid.org/0000-0002-6996-3935
Johnny DownsCAMHS Digital Lab, King's Maudsley Partnership, IOPPN, King's College London and South London and Maudsley NHS Foundation Trust, 16 De Crespigny Park, London, SE5 8AB, United Kingdom.ORCID http://orcid.org/0000-0002-8061-295X

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: Consistent wear is essential for valid and reliable actigraphy data. Adherence to actigraphy may be challenging in primary school children due to developmental and design considerations, yet no quantitative synthesis of adherence in this age group exists. Objective: The aim of this study was to provide the first pooled estimate of actigraphy adherence in primary school-aged children and examine the impact of individual, device, and study-specific factors on adherence. Methods: We searched seven electronic databases for studies reporting adherence to actigraphy in primary school-aged children. Searches were conducted in Embase, MEDLINE, PsycINFO, Social Policy and Practice via OVID, Education Resources Information Center, British Education Index, and CINAHL via EBSCO using database-specific search strategies conducted between January 2018 and January 24, 2023. Forward and backward citation searches were completed on the Web of Science Core Collection and Google Scholar. Gray literature searches were undertaken in PsycEXTRA and Healthcare Management Information Consortium. Empirical studies reporting quantitative data on adherence to community-based actigraphy in children aged 5-11 years (or if ≥50% of the average age fell within this range) were included. Eligible studies were written in English and could be published or unpublished. Risk of bias was assessed using an 8-item checklist adapted from Berger et al's actigraphy reporting standards. All included studies were narratively synthesized, and adherence data were pooled in a proportional meta-analysis. Adherence was calculated as the proportion of children meeting wear-time criteria to be included in the analysis compared to the number of children invited to use the device at baseline. Meta-regression was used to examine the impact of individual, device, and study-specific factors on adherence. Prediction intervals were calculated to estimate the range of adherence expected across future studies. Results: Data were extracted from 235 studies (N=148,161); of these, 135 studies (n=64,541) provided adherence data for proportional meta-analysis. Pooled adherence, measured across 1-140 days, was 81.6% (95% CI 78.7%-84.4%; I2=98.8%). The prediction intervals (42.8%-100%) indicated substantial variability in adherence estimates across studies. Meta-regression suggested that individual characteristics contributed to observed heterogeneity as children with a physical health diagnosis (b=0.236, 95% CI 0.009-0.464; P=.04) and those with neurodevelopmental or mental health diagnosis (b=0.395, 95% CI 0.125-0.665; P=.004) demonstrated higher adherence than undiagnosed children, though these effects were of modest magnitude. No significant effects were found for age, placement, protocol length, protocol deviation, or incentivization. Reporting quality was poor, with only 3.4% of studies satisfying all criteria. Conclusions: This review demonstrates generally high actigraphy adherence in primary school-aged children, particularly those with health conditions. However, observed variability indicates that adherence was much lower in some contexts, underscoring that the reported pooled adherence cannot be assumed across future actigraphy applications within this age group. Future research should use standardized adherence reporting and should plan for adherence variability.

Indexed as

ActigraphyPatient ComplianceChildChild, PreschoolFemaleHumansMaleSchoolsactigraphyadherenceambulatory monitoringchildrenfitness trackersmotor activitysleeptelemedicine

Identifiers

PMID41183377
PMCPMC12582557

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.