SynthesisFrontiers in public health2026
Effects of exercise interventions on sleep quality in university students: a systematic review and meta-analysis.
Synthesis 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.
What it found
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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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sleep disturbance affects up to 70% of university students globally, yet the comparative effectiveness of different exercise modalities remains poorly understood as existing reviews are limited to single exercise categories or English-only databases. We conducted a systematic review and meta-analysis of randomized controlled trials (RCTs) identified by searching PubMed, Web of Science, and CNKI from inception to June 2026. Eligible studies examined structured exercise ≥2 weeks versus non-exercise controls in university students, with the Pittsburgh Sleep Quality Index (PSQI) as the primary outcome. Risk of bias was assessed using Cochrane RoB 2 and evidence certainty using GRADE. Twenty-two RCTs ( Systematic review registration: PROSPERO: CRD420261416062.
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Registered trials
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.