Evidence Hub

Shift work and risk of sleep disturbances in occupational populations: a systematic review and meta-analysis

Wang Y, Wang PC, Wang XN, Yi L, Diao DL, Yan B

BMC public health, 2026

21,677 participants · 2 citations

Abstract

Background: Shift work is common worldwide and disrupts circadian rhythms, which is associated with sleep disturbances. Previous studies have often focused on single occupations or countries, limiting the generalizability of findings. A comprehensive synthesis of the association between shift work and sleep disturbances across diverse populations is lacking.

Methods: We conducted a systematic search of major electronic databases up to August 15, 2025, for observational studies examining the association between shift work and sleep disturbances, using odds ratios (ORs) with 95% confidence intervals (CIs). Study quality was assessed using appropriate tools, and evidence certainty was evaluated with the GRADE framework. Heterogeneity was assessed, and pooled ORs were calculated using fixed- or random-effects models based on the level of heterogeneity. Subgroup analyses were performed by sleep disturbance type, shift type, night-shift duration, occupation, country, region, diagnostic method, and adjustment status. Publication bias was also assessed.

Results: Twenty-two cross-sectional studies involving 21,677 participants from eight countries contributed 24 estimates. Shift work was associated with higher odds of sleep disturbances (OR = 1.42, 95% CI: 1.24-1.62), with comparable estimates observed after covariate adjustment (OR = 1.41, 95% CI: 1.18-1.68). Rotating shift (OR = 1.48, 95% CI: 1.23-1.77) and night shift of ≤ 8 hours (OR = 1.77, 95% CI: 1.11-2.81) were associated…

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. Reported size: 21,677 participants or records.

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