Evidence map›Paper›PMID 39909735›Full record

SynthesisSleep2025

A systematic review and meta-analysis of group-based trajectory modeling of sleep duration across age groups and in relation to health outcomes.

Wei Wang, Sing-Hang Cheung, Shu Fai Cheung, Rong Wei Sun, C Harry Hui, Ho Yin Derek Ma, Esther Yuet Ying Lau

Erratum issuedAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Sleep, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Wei WangDepartment of Psychology, The Education University of Hong Kong, Tai Po, New Territories, Hong Kong SAR, China.ORCID 0009-0004-2421-9733
Sing-Hang CheungDepartment of Psychology, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.ORCID 0000-0001-5182-0752
Shu Fai CheungDepartment of Psychology, University of Macau, Taipa, Macau SAR, China.ORCID 0000-0002-9871-9448
Rong Wei SunSchool of Arts and Humanities, Tung Wah College, Mong Kok, Kowloon, Hong Kong SAR, China.ORCID 0000-0003-0034-1422
C Harry HuiDepartment of Psychology, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.ORCID 0000-0001-9606-5164
Ho Yin Derek MaDepartment of Psychology, The Education University of Hong Kong, Tai Po, New Territories, Hong Kong SAR, China.ORCID 0009-0008-1257-3611
Esther Yuet Ying LauDepartment of Psychology, The Education University of Hong Kong, Tai Po, New Territories, Hong Kong SAR, China.ORCID 0000-0003-0324-891X

Funding

Hong Kong Special Administrative Region, China EdUHK#18611419
6 · The paper itself

Abstract

STUDY

objectivesTo shed light on understanding sleep duration trajectories (SDTs) using different classification methods and their outcomes, this study aimed to (1) identify common SDTs among different age groups, (2) investigate the alignment versus differences between SDTs identification by group-based trajectory modeling (GBTM) and clinical standards, and (3) examine the impacts of SDTs on health outcomes.

methodsA systematic literature search from four databases yielded 34 longitudinal SDT studies with GBTM analyses spanning three or more data waves. Apart from the proportion meta-analysis, a three-level meta-analysis was conducted with 14 of the studies that examined the association between SDT groups and health outcomes. Assessment of study quality was performed using the Guidelines for Reporting on Latent Trajectory Studies checklist.

resultsQualitative analysis identified four age-related SDT classes based on longitudinal trends: "persistent sleepers," "increase sleepers," "decrease sleepers," and "variable sleepers." Meta-analysis also showed differential proportions of "GBTM-defined shortest sleepers" across age groups and sample regions, as well as significant discrepancies in the prevalence of short sleep identified by clinical standards (=50% vs. 15% per GBTM). Overall, SDTs predicted emotional and behavioral outcomes, neurocognitive problems, and physical health (OR = 1.538, p < 0.001), in GBTM-defined "short," "fluctuating," "long," and "decreasing" sleepers as compared to the "adequate" group. The effects were stronger in adolescents and in datasets with more waves.

conclusionsThe identification of the GBTM-defined "short," "fluctuating," "long," and "decreasing" SDT groups and their associations with various health outcomes supported longitudinal investigations, as well as the development of interventions focusing on both the length and stability of sleep durations, especially in younger populations. Study registration: PROSPERO registration number CRD42023412201.

Indexed as

SleepAge FactorsHumansLongitudinal StudiesSleep DurationTime Factorsgroup-based trajectory modelingproportion of short sleeperssleep duration trajectorythree-level meta-analysis

Identifiers

PMID39909735
PMCPMC11985401

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.