Abstract
BACKGROUND: Sleep disturbance is common among college students. However, the prevalence and associated factors among Chinese college students require an updated synthesis. This study aimed to estimate the pooled prevalence of sleep disturbance in this population and to examine potential sources of between-study variation. METHODS: A systematic search was conducted in four Chinese databases (CNKI, Wanfang, VIP, and Sinomed) and five international databases (PubMed, EMBASE, Web of Science, Cochrane Library, and PsycINFO) from inception to December 22, 2025. The study protocol was pre-registered in PROSPERO (CRD420251270413). Cross-sectional studies reporting sleep disturbance among Chinese college students assessed using the Pittsburgh Sleep Quality Index were included, with no restrictions on cut-off thresholds. Recall timeframes included the past month, 1–2 weeks, or several months. Random-effects meta-analysis was used to pool prevalence estimates with 95% confidence intervals, and a 95% prediction interval was additionally reported for the overall pooled estimate to reflect between-study heterogeneity. Statistical heterogeneity was assessed using the I² statistic. Subgroup analyses were performed to explore methodological and population-level factors, and between-group differences were tested using chi-square statistics. RESULTS: A total of 232 studies involving 495,641 undergraduate students were included. The pooled prevalence of sleep disturbance was 26.4% (95% confidence interval: 24.6% to 28.3%, 95% prediction interval: 7.4% to 59.1%), with substantial heterogeneity (I² = 99.57%). Methodological factors were significantly associated with prevalence estimates, particularly the Pittsburgh Sleep Quality Index cut-off score and the recall timeframe (both P < 0.001). Prevalence was highest during the COVID-19 pandemic (33.5%), compared with the pre-pandemic period (24.1%) and the post-pandemic period (21.0%) (P = 0.001). Higher pooled estimates were observed in more recent publication periods, increasing from 22.9% in 2014 and earlier to 28.7% in 2020 and later (P = 0.018). No statistically significant differences were identified across gender, academic year, major, region, or only-child status. Higher prevalence was observed among smokers, drinkers, and students reporting poorer family economic status, although these differences did not reach statistical significance. CONCLUSIONS: Sleep disturbance, as defined by the Pittsburgh Sleep Quality Index, is prevalent among Chinese college students. Estimates should be interpreted cautiously because of extreme heterogeneity and reliance on self-reported, predominantly cross-sectional data. The findings underscore the public health relevance of sleep health on campuses and support continued monitoring and health promotion, as well as more standardized measurement in future studies. CLINICAL TRIAL NUMBER: Not applicable. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-026-07997-z.