Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, People's Republic of China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.
Health Promotion Centre for Primary and Secondary Schools of Guangzhou Municipality, Guangzhou, 510080, China.
J Affect Disord. 2021 May 15;287:214-221. doi: 10.1016/j.jad.2021.03.050. Epub 2021 Mar 23.
To investigate the independent association between different types of emotional and behavioral problems and Internet use (i.e., Internet use time and problematic Internet use [PIU]) among Chinese young adults, and to test whether these associations vary by academic performance.
Data was drawn from the 2019 National School-based Chinese Adolescents Health Survey, and 30,581 undergraduates (mean age: 19.9 [SD: 1.6] years) completed standard questionnaires qualifiedly. Daily hours of Internet use, PIU, emotional and behavioral problems, and academic performance were measured.
After adjusting for control variables and academic performance, students who reported having emotional problems (daily hours: adjusted unstandardized β estimate=0.14, 95% CI=0.120.15; PIU: adjusted unstandardized β estimate=1.82, 95% CI=1.771.89), conduct problems (daily hours: adjusted unstandardized β estimate=0.12, 95% CI=0.090.15; PIU: adjusted unstandardized β estimate=1.76, 95% CI=1.671.84), hyperactivity (daily hours: adjusted unstandardized β estimate=0.08, 95% CI=0.060.12; PIU: adjusted unstandardized β estimate=1.46, 95% CI=1.381.54), and peer problems (daily hours: adjusted unstandardized β estimate=0.03, 95% CI=0.0020.05; PIU: adjusted unstandardized β estimate=0.53, 95% CI=0.440.62) were more likely to engaged in prolonged daily Internet use and PIU. In contrast, prosocial behavior was negatively associated with Internet use time and PIU. Stratified analyses showed that some of the associations in poor academic performers were stronger than in students with good and average academic performance.
The cross-sectional design limited the ability to make causal inferences.
The findings suggest that the efforts to prevent abnormal Internet use should be focused on students with emotional and behavioral problems or poor academic performance.
为了探究不同类型的情绪和行为问题与中国青年大学生互联网使用(即上网时间和问题性互联网使用[PIU])之间的独立关联,并检验这些关联是否因学业表现而有所不同。
数据来自 2019 年全国学校青少年健康调查,共有 30581 名大学生(平均年龄:19.9[SD:1.6]岁)合格完成了标准问卷。测量了每日上网时间、PIU、情绪和行为问题以及学业表现。
在调整了控制变量和学业表现后,报告存在情绪问题的学生(上网时间:调整后的未标准化β估计值=0.14,95%CI=0.120.15;PIU:调整后的未标准化β估计值=1.82,95%CI=1.771.89)、品行问题(上网时间:调整后的未标准化β估计值=0.12,95%CI=0.090.15;PIU:调整后的未标准化β估计值=1.76,95%CI=1.671.84)、多动(上网时间:调整后的未标准化β估计值=0.08,95%CI=0.060.12;PIU:调整后的未标准化β估计值=1.46,95%CI=1.381.54)和同伴问题(上网时间:调整后的未标准化β估计值=0.03,95%CI=0.0020.05;PIU:调整后的未标准化β估计值=0.53,95%CI=0.440.62)更有可能长时间上网和出现 PIU。相比之下,亲社会行为与上网时间和 PIU 呈负相关。分层分析表明,在学业表现较差的学生中,一些关联比学业表现较好和中等的学生更强。
横断面设计限制了做出因果推断的能力。
研究结果表明,预防异常互联网使用的努力应针对存在情绪和行为问题或学业表现较差的学生。