ArticleAddictive behaviors reports2026
From caffeine use motives to sleep disturbance: network and structural equation modeling of caffeine use disorder and depression among caffeine consumers.
Article in Addictive behaviors reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Caffeine consumption is universal among university students and may be linked with mental health and sleep problems. Yet evidence on the patterns of use, underlying motives, and their links with depression and sleep disturbance among Bangladeshi students is limited. Objective: This study aimed to investigate the prevalence of caffeine consumption, identify associates, and explore the relationship among caffeine use disorder (CUD), motives, depressive symptoms, and sleep problems. Method: A cross-sectional study using random sampling was conducted among 530 university students [ Results: Nearly 72% of students reported consuming caffeine. Consumption was significantly associated with monthly family expenditure, academic year, smoking habit, and having a loan or debt. Network analysis revealed strong connections among CUD symptoms, particularly impaired control, tolerance, withdrawal, and continued use despite harm. Craving and self-reward motives acted as key bridge nodes. Depressive symptoms and sleep problems were closely linked, with clinically relevant bridges involving suicidal ideation and concentration difficulties. SEM showed that CUD had a significant direct effect on sleep problems and an indirect effect through depressive symptoms, while motives did not directly affect sleep disturbance. Conclusion: Visible clusters among symptoms and CUD's direct and indirect effects through depression on sleep problems highlight the need for psychoeducation on healthy caffeine consumption and screening for mental health problems for better sleep quality.
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