摘要
为了解中职学生抑郁、网络成瘾与早餐食用情况的关联性,为引导中职学生养成每天吃早餐的习惯提供参考,本文采用抑郁自评量表(SDS)和网络成瘾量表(IAT)对四川省一所中职学校891名学生进行问卷调查.结果发现,中职生健康吃早餐的有299人(33.5％),不健康吃早餐的有592人(66.5％),不同年级、留守经历、学习成绩、抑郁、网络成瘾学生之间不经常吃早餐的报告率差异均有统计意义(x2值分别为12.08、4.59、12.39、27.98、19.99,P均＜0.05),早餐与抑郁呈正相关(r=0.21,P＜0.01),早餐与网络成瘾呈正相关(r=0.20,P＜0.01),且抑郁与网络成瘾之间也呈正相关(r=0.38,P＜0.01),抑郁与网络成瘾对不健康吃早餐有正向预测作用(P值均＜0.05).抑郁、网络成瘾是早餐食用情况的影响因素,社会、学校、家庭应加强引导中职学生养成每天吃早餐的习惯,避免不吃早餐与抑郁、网络成瘾聚集出现.
Abstract
Objective To investigate the correlation between depression,Internet addiction and breakfast consumption among secondary vocational school students,and to provide reference for guiding secondary voca-tional school students to develop the habit of eating breakfast every day.Methods A questionnaire survey was conducted among 891 students from three grades in a secondary vocational school in Sichuan Province using the Self Rating Depression Scale(SDS)and the Internet Addiction Test(IAT).The results showed that 299(33.5％)of vocational school students ate breakfast healthily,and 592(66.5％)of them ate breakfast un-healthily.There were statistically significant differences in the reporting rate of not eating breakfast regularly a-mong students of different grades,staying experiences,academic performance,depression,and Internet ad-diction disorder(X2 values were 12.08,4.59,12.39,27.98,and 19.99,respectively,P＜0.05).Breakfast was positively correlated with depression(r=0.21,P＜0.01),and breakfast was positively correlated with In-ternet addiction disorder(r=0.20,P＜0.01),There was also a positive correlation between depression and Internet addiction disorder(r=0.38,P＜0.01).Depression and Internet addiction had a positive predictive effect on unhealthy breakfast eating(both P＜0.05).Depression and Internet addiction were the influencing factors of breakfast consumption.Society,schools,and family should strengthen guidance for secondary voca-tional school students to develop the habit of eating breakfast every day to avoid the occurrence of skipping breakfast and the aggregation of depression and Internet addiction.
维普
万方数据