Researchers explore the hidden pathways linking problematic caffeine use to sleep loss

A recent study conducted in Bangladesh explored the connection between specific caffeine use disorder symptoms and sleep problems among university students. Published in Addictive Behaviors Reports, the research, led by Shekh Tanjina Islam Dola, revealed intriguing associations. The study involved 530 students from two public universities in Bangladesh, with an average age of 22 years.

Seventy-two percent of the participants reported regular caffeine consumption, ingesting an average of 1.9 cups of caffeinated beverages daily.

The researchers used statistical techniques to analyze the relationships between caffeine use motives, caffeine use disorder symptoms, depression, and sleep problems. They discovered that caffeine consumption was higher among smokers, those carrying debts, certain academic years, and those with lower monthly family expenditures. However, age, gender, residency, income, and several other factors did not impact caffeine intake levels.

Severe caffeine use disorder symptoms were directly linked to more severe sleep problems and heightened depressive symptoms. Moreover, depressive symptoms were found to mediate the relationship between caffeine use disorder and sleep disturbances, suggesting that depression partially explained the connection between the two. The study also pinpointed craving and withdrawal-related motives as crucial pathways linking caffeine use disorder to negative mental health and sleep outcomes.

The findings highlight a high prevalence of caffeine consumption among university students in Bangladesh and present essential psychological correlates, emphasizing the role of depression and sleep problems. The researchers concluded that certain features, particularly craving and withdrawal-related symptoms, play a key role in connecting caffeine use disorder with mental health and sleep-related issues.

The study contributes to the scientific understanding of caffeine consumption and mental health but acknowledges its limited generalizability due to its exclusive focus on university students. Additionally, the cross-sectional design of the study does not allow for causal inferences.