回归正常?利用长短时记忆网络研究 COVID-19 不同阶段青少年社交互动与抑郁症状之间的关联。

IF 2.9 2区 心理学 Q1 PSYCHOLOGY, CLINICAL
Reuma Gadassi Polack, Adam Zhang, Hedy Kober, Jutta Joormann, Hadas Benisty
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引用次数: 0

摘要

青少年时期是一个社会交往对心理健康至关重要的发育时期。虽然 COVID-19 的爆发极大地破坏了青少年的社会环境和心理健康,但青少年如何适应疫情的后期阶段仍不清楚。我们利用基于梯度特征重要性的长短期记忆递归网络(LSTM)机器学习架构,对大流行病三个阶段中日常社交互动与抑郁症状之间的关联进行建模。在 COVID-19 前一年,148 名青少年报告了 21 天内每天的社交互动和抑郁症状。其中 116 名青少年在学校因 COVID-19 而关闭后完成了为期 28 天的日记。其中 79 名青少年和另外 116 名新参与者在大流行大约一年后完成了 28 天的日记。我们的研究结果表明,LSTM 在所有三个波次中都成功预测了至少一周社交互动的抑郁症状(r2 > .70)。我们的研究表明,使用分析方法可以确定社会交往可能带来抑郁风险的时间和非线性途径。我们对输入特征重要性的独特分析使我们能够解释社会交往与抑郁症状之间的关联。总之,我们观察到,在大流行一年后,大流行前的模式有所恢复,在大流行关闭期间,性别和年龄差异有所减少。这种模式表明,青少年时期的社会影响系统受到了 COVID-19 的影响,而这种影响在大流行的慢性阶段有所减弱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Back to Normal? Harnessing Long Short-term Memory Network to Examine the Associations Between Adolescent Social Interactions and Depressive Symptoms During Different Stages of COVID-19.

Back to Normal? Harnessing Long Short-term Memory Network to Examine the Associations Between Adolescent Social Interactions and Depressive Symptoms During Different Stages of COVID-19.

Adolescence is a developmental period in which social interactions are critical for mental health. While the onset of COVID-19 significantly disrupted adolescents' social environments and mental health, it remains unclear how adolescents have adapted to later stages of the pandemic. We harnessed a machine learning architecture of Long Short-Term Memory recurrent networks (LSTM) with gradient-based feature importance, to model the association among daily social interactions and depressive symptoms during three stages of the pandemic. A year before COVID-19, 148 adolescents reported social interactions and depressive symptoms, every day for 21 days. One hundred sixteen of these youths completed a 28-day diary after schools closed due to COVID-19. Seventy-nine of these youths and additional 116 new participants completed a 28-day diary approximately a year into the pandemic. Our results show that LSTM successfully predicted depressive symptoms from at least a week of social interactions for all three waves (r2 > .70). Our study shows the utility of using an analytic approach that can identify temporal and nonlinear pathways through which social interactions may confer risk for depression. Our unique analysis of the importance of input features enabled us to interpret the association between social interactions and depressive symptoms. Collectively, we observed a return to pre-pandemic patterns a year into the pandemic, with reduced gender and age differences during the pandemic closures. This pattern suggests that the system of social influences in adolescence was affected by COVID-19, and that this effect was attenuated in more chronic stages of the pandemic.

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来源期刊
Research on Child and Adolescent Psychopathology
Research on Child and Adolescent Psychopathology Psychology-Developmental and Educational Psychology
CiteScore
5.00
自引率
4.00%
发文量
107
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