Behavioral Profiles of Exam Stress: Mapping Student Diet, Sleep, and Substance Use
TL;DR
The study aimed to explore the interplay between habitual eating behaviors, sleep quality, and self-reported stimulant use and coping adaptations specifically during examination periods among healthcare university students, emphasizing the need for targeted institutional interventions that support healthy behavioral adaptations and stress management during academic challenges.
Abstract
Background: Academic pressure during examination periods is frequently reported alongside irregular lifestyle behaviors. The study aimed to explore the interplay between habitual eating behaviors, sleep quality, and self-reported stimulant use and coping adaptations specifically during examination periods among healthcare university students. Methods: This cross-sectional study included 265 university students (Mage = 22.00, SD = 4.46). Dietary behaviors and sleep quality were assessed using the Three-Factor Eating Questionnaire (TFEQ-R21) and the Pittsburgh Sleep Quality Index (PSQI), respectively. Behavioral profiles, substance-use patterns, and attitudes toward academic pressure were examined using bivariate analyses, multivariate logistic regression, and TwoStep cluster analysis. Statistical analyses were performed using IBM SPSS Statistics version 26.0. Results: A high prevalence of poor sleep quality was observed, with 72.8% (n = 193) of participants meeting the clinical criterion for poor sleep (PSQI > 5.0; M = 7.79 ± 3.53), and high sleep disturbances were significantly associated with smoking, energy drink use, coffee escalation, general dietary supplement utilization, and smart-drug use. Multivariate analysis revealed that poor sleep quality (OR = 1.118, 95% CI [1.022, 1.222]) and younger age (OR = 0.843, 95% CI [0.735, 0.967]) were independently associated with higher odds of energy drink use. A distinct cognitive disconnect was observed in tobacco usage: conventional smoking was negatively associated with self-perceived health (OR = 0.401, 95% CI [0.182, 0.884]), whereas electronic cigarette use showed no significant association. TwoStep cluster analysis identified three distinct student typologies during exams: non-users (32.6%), poly-substance users (34.5%), and OTC supplement/caffeine users (33.0%), with active substance-utilizing profiles displaying significantly worse sleep quality and higher emotional eating. Conclusions: These findings highlight distinct cross-sectional lifestyle and coping patterns among healthcare students, emphasizing the need for targeted institutional interventions that support healthy behavioral adaptations and stress management during academic challenges.