McNeilly Elizabeth A, Mills Kathryn L, Kahn Lauren E, Crowley Ryann, Pfeifer Jennifer H, Allen Nicholas B
Department of Psychology, University of Oregon, Eugene, USA.
PROMENTA Research Center, Department of Psychology, University of Oslo, Norway.
Clin Psychol Sci. 2023 Nov;11(6):1090-1107. doi: 10.1177/21677026221125180. Epub 2023 Jan 7.
The increasing use of smartphone technology by adolescents has led to unprecedented opportunities to identify early indicators of shifting mental health. This intensive longitudinal study examined the extent to which differences in mental health and daily mood are associated with digital social communication in adolescence. In a sample of 30 adolescents (ages 11-15 years), we analyzed 22,152 messages from social media, email, and texting across one month. Lower daily mood was associated with linguistic features reflecting self-focus and reduced temporal distance. Adolescents with lower daily mood tended to send fewer positive emotion words on a daily basis, and more total words on low mood days. Adolescents with lower daily mood and higher depression symptoms tended to use more future focus words. Dynamic linguistic features of digital social communication that relate to changes in mental states may represent a novel target for passive detection of risk and early intervention in adolescence.
青少年对智能手机技术的使用日益增加，这带来了前所未有的机会来识别心理健康变化的早期指标。这项深入的纵向研究考察了青少年心理健康和日常情绪差异与数字社交沟通之间的关联程度。在一个由30名青少年（年龄在11至15岁之间）组成的样本中，我们分析了一个月内来自社交媒体、电子邮件和短信的22152条信息。较低的日常情绪与反映自我关注和时间距离缩短的语言特征相关。日常情绪较低的青少年每天发送的积极情绪词汇较少，而在情绪低落的日子里发送的总词汇量更多。日常情绪较低且抑郁症状较高的青少年倾向于使用更多与未来相关的词汇。与心理状态变化相关的数字社交沟通的动态语言特征可能代表了一种用于被动检测青少年风险和早期干预的新目标。
