Correlation between beverage dependence and sleep quality among college students
10.16835/j.cnki.1000-9817.2025250
- VernacularTitle:大学生饮料依赖与睡眠质量的相关性
- Author:
SHEN Jing, CHEN Junjun, LU Hongchun, XU Peipei, LI Guolian, NI Lin, DENG Zilong, WANG Fang，ZHAI Jinxia
1
Author Information
1. School of Public Health, Anhui Medical University, Hefei 230032, Anhui Province，China
- Publication Type:Journal Article
- Keywords:
Beverages;
Behavior,addictive;
Sleep;
Mental health;
Regression analysis;
Students
- From:
Chinese Journal of School Health
2025;46(8):1125-1129
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the relationship between beverage dependence and sleep quality among college students, providing empirical evidence for improving their sleep quality.
Methods:From December 2024 to January 2025, a convenience sampling method was used to conduct a questionnaire survey among 3 974 college students from four universities in Anhui Province. The Beverage Addiction Scale for College Students (BASCS) was used to assess beverage dependence, and the Self rating Scale of Sleep(SRSS) was used to evaluate sleep quality. A multivariate Logistic regression model was employed to analyze the relationship between beverage dependence and sleep quality, and a restricted cubic spline model was used to examine the dose response relationship between the two.
Results:The positive rate of beverage dependence symptoms among college students was 7.6%, with positive rates of 9.6%, 13.8%, and 7.4% for the withdrawal symptoms, health effects, and dependence symptoms dimensions, respectively. The detection rate of sleep disorders was 23.6%. Multivariate Logistic regression analysis showed that after adjusting for covariates such as grade, gender, and body mass index, compared with the no beverage dependence group, students with positive beverage dependence symptoms had a higher risk of sleep disorders( OR =3.71, 95% CI =2.87-4.80, P <0.01). The OR (95% CI ) for sleep disorders among students with positive symptoms in the withdrawal symptoms, health effects, and dependence symptoms dimensions were 2.80(2.22-3.53), 2.38(1.95-2.91), and 2.45(1.89-3.18)(all P <0.01). Further analysis using a restricted cubic spline model revealed that the overall beverage dependence score and its three dimensional scores were approximately linearly related to the risk of sleep disorders among college students (all nonlinear P >0.05).
Conclusions:Beverage dependence is associated with sleep quality among college students. Schools should take multiple approaches, such as health education on beverage awareness, to improve students sleep quality.
