Evidence Hub

Global prevalence of insomnia symptoms in undergraduate university students: a systematic review and meta-analysis

Spyros Spyridonidis, Dhillon Lad, H. Peters, J. Ellis, Lucy J Robinson

SLEEP Advances, 2025

24 citations

Abstract

Abstract Insomnia is increasingly recognized as a public health concern; however, undergraduate university students remain relatively understudied. This study aimed to estimate the overall pooled prevalence of insomnia symptoms in this population to inform the need for targeted care. For this systematic review and meta-analysis, we searched five databases to identify papers published between January 1, 1993, and January 17, 2025, which investigated the prevalence or proportion of insomnia in undergraduate university students using validated measures. Studies with biased samples were excluded. Study quality was assessed using the Joanna Briggs Institute Critical Appraisal Tool. Data were synthesized using random-effects meta-analysis and meta-regression. Subgroup analyses were conducted based on continent, screening instrument, field of study, and sampling method. The review was registered on PROSPERO (CRD42025617914). The search yielded 2379 non-duplicate citations, of which 48 met the inclusion criteria, contributing 55 prevalence estimates based on data from 95 938 students. The pooled prevalence of insomnia in undergraduate university students was 46.9% (95% CI = 40.1% to 53.6%). Heterogeneity was high (I2 = 99.8%). Meta-regression indicated that rates varied by continent and screening instrument. Findings suggest that nearly half of undergraduate students experience insomnia symptoms, highlighting the need for university-level responses that combine universal sleep…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free