Tang Sandra, Patrick Megan E
Institute for Social Research, University of Michigan, Ann Arbor, Michigan.
Institute for Translational Research in Children's Mental Health, University of Minnesota, Minneapolis, Minnesota.
Hum Behav Emerg Technol. 2020 Jan;2(1):50-60. doi: 10.1002/hbe2.154. Epub 2019 Jun 21.
Latent class analysis was used to identify patterns of technology and social media use among adolescents in a national study ( = 26,348). Multinomial logistic regression was used to examine associations between latent classes and academics and substance use. Results demonstrated four classes: (55%), (21%), (14%), and (10%). Compared to , and had lower grades and higher alcohol and marijuana use. had lower grades and participated in fewer extracurricular activities compared to , but there were no differences on substance use. Results show that adolescents with the most media-intensive profiles were also at greater risk for poor academic outcomes and substance use.
在一项全国性研究（n = 26,348）中，采用潜在类别分析来识别青少年使用技术和社交媒体的模式。使用多项逻辑回归来检验潜在类别与学业及物质使用之间的关联。结果显示出四类：（55%）、（21%）、（14%）和（10%）。与相比，和的成绩较低，酒精和大麻使用量较高。与相比，的成绩较低，参加的课外活动较少，但在物质使用方面没有差异。结果表明，媒体使用最为密集的青少年出现学业不良和物质使用问题的风险也更高。
