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手机依赖性使用与睡眠和饮食行为相关:基于2122名大学生问卷调查
引用本文:方乐琴,许晓珩,林晓敏,陈燚林,郑馥盈,贝燕柔,张璐,张斌.手机依赖性使用与睡眠和饮食行为相关:基于2122名大学生问卷调查[J].南方医科大学学报,2019,39(12):1500-1505.
作者姓名:方乐琴  许晓珩  林晓敏  陈燚林  郑馥盈  贝燕柔  张璐  张斌
作者单位:南方医科大学南方医院精神心理科,广东 广州,510515;南方医科大学,广东 广州,510515
基金项目:教学改革项目;广州市哲学社会科学发展十三五规划
摘    要:目的 调查广州市某医学院校大学生手机依赖性使用情况与睡眠和饮食行为的相关性。方法 使用手机依赖性量表(MPIQ)、匹兹堡睡眠质量指数(PSQI)及三因素饮食问卷R21(TFEQ-R21),对2122 名在校大学生进行问卷调查,对数据行t检 验、方差分析、两两相关分析及设置哑变量的多元线性回归分析。结果 年龄、身体质量指数(BMI)、PSQI总分、TFEQ-R21的3个因子分(非控制性进食、认知限制进食、情绪性进食)、睡前使用手机、手机使用时间与MPIQ总分均呈显著相关(P<0.001),多元线性回归方程提示最终模型的R2值为21.8%(调整后R2为21.5%)。结论 手机的依赖性使用与睡眠障碍和不良的饮食习惯均相关,学校应该对手机依赖性使用人群进行必要的宣教和干预。

关 键 词:大学生  手机依赖性使用  睡眠质量  饮食行为

Association of mobile phone overuse with sleep disorder and unhealthy eating behaviors in college students of a medical university in Guangzhou
Abstract:Objective To investigate the association of mobile phone use with sleep disorder and unhealthy eating behavior among college students of a medical university in Guangzhou. Methods Mobile Phone Involvement Questionnaire (MPIQ), Pittsburgh Sleep Quality Index (PSQI) and the Three Factor Eating Questionnaire Revised 21 Item (TFEQ-R21) were used to survey 2122 undergraduates of the medical university. One-sample t test, One-way ANOVA and multiple linear regression analysis were used to analyze the data. Results Age, body mass index (BMI), phone use before sleep, phone use frequency, sleep quality (assessed by total PSQI score) and the dimension scores of TFEQ-R21 for uncontrolled eating, cognitive restraint, and emotional eating were all significantly correlated with the total score of MPIQ (P<0.05). Phone use before sleep, high frequency of mobile phone use, poor sleep quality and emotional eating were associated with high MPIQ scores, while lower cognitive restraint and emotional eating tendency were correlated with lower scores of MPIQ. Bivariate analysis revealed that age (r=0.088, P<0.001), BMI (r=0.055, P<0.05), PSQI scores (r=0.204, P<0.001), TFEQ-UE scores (r=0.199, P<0.001), TFEQ-CR scores (r=-0.076, P<0.001), TFEQ-EE scores (r=0.170, P<0.001), phone use before sleep (r=0.429, P<0.001), and phone use frequency (r=0.316, P<0.001) were all significantly correlated with MPIQ scores; multiple linear regression analysis showed that model 4 incorporating the scores of TFEQ-UE, TFEQ-CR, and TFEQ-EE explained up to 21.8% of the main effect (adjusted R2= 21.5%). Conclusion Mobile phone overuse is associated with poor sleep quality and unhealthy eating behaviors, and education and interventions for mobile phone use is essential among college students.
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