Evidence map›Paper›PMID 42293610›Full record

ArticleFrontiers in public health2026

Physical activity for insomnia: a scoping review within the Nursing Science Precision Health model.

Xiaotu Zhang, Zihan Qu, Xuefeng Sun, Jiawei Yin, Jingyi Chen, Hongshi Zhang

Abstract readScoping Review
In one paragraph

Article in Frontiers in public health, 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.

Xiaotu ZhangSchool of Nursing, Changchun University of Chinese Medicine, Changchun, China.
Zihan QuSchool of Nursing, Changchun University of Chinese Medicine, Changchun, China.
Xuefeng SunSchool of Nursing, Changchun University of Chinese Medicine, Changchun, China.
Jiawei YinSchool of Nursing, Changchun University of Chinese Medicine, Changchun, China.
Jingyi ChenSchool of Nursing, Changchun University of Chinese Medicine, Changchun, China.
Hongshi ZhangSchool of Nursing, Changchun University of Chinese Medicine, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Physical activity (PA) is an established non-pharmacological intervention for insomnia; however, its clinical application remains largely non-personalized. The Nursing Science Precision Health (NSPH) model provides a structured framework to link symptom patterns, phenotypes, and biological mechanisms with tailored interventions. Objective: To map and synthesize evidence on PA interventions for insomnia within the NSPH model, and to identify key gaps limiting precision-based care. Methods: A scoping review was conducted in accordance with JBI guidance and PRISMA-ScR standards. Eight databases were searched for randomized controlled trials published in the past decade that examined PA interventions for insomnia. Evidence was mapped to the four NSPH domains and synthesized narratively. Results: Thirty-two studies were included. Across the NSPH domains, three key gaps were identified. First, symptom assessment relied on heterogeneous tools, with no standardized measurement framework. Second, phenotypic characterization focused primarily on psychological and functional outcomes, with limited consideration of lifestyle and environmental factors. Third, although PA demonstrated beneficial effects on sleep quality and related physiological processes, including circadian regulation and inflammatory pathways, biomarker use remained indirect and inconsistently integrated into intervention design. PA interventions, including aerobic, strength, flexibility, and multimodal exercise, generally improved sleep outcomes, but were rarely tailored to individual profiles. Conclusion: This review highlights the potential of PA interventions for insomnia but emphasizes the need for precision in tailoring treatments to individual patients. Future research should focus on standardizing outcome measures, matching PA modalities to insomnia phenotypes, and incorporating biomarkers to refine and personalize interventions for better patient outcomes. Systematic review registration: https://doi.org/10.17605/OSF.IO/P4TW6, identifier: P4TW6.

Indexed as

ExerciseModels, NursingPrecision MedicineSleep Initiation and Maintenance DisordersHumansexerciseinsomniaNursing Science Precision Health modelphysical activityscoping review

Identifiers

PMID42293610
PMCPMC13253286

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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.