Butter Sarah, Shevlin Mark, Gibson-Miller Jilly, McBride Orla, Hartman Todd K, Bentall Richard P, Bennett Kate, Murphy Jamie, Mason Liam, Martinez Anton P, Levita Liat
School of Psychology, Ulster University, Cromore Road, Coleraine, BT52 1SA, Northern Ireland.
School of Education, University of Sheffield, Sheffield, England.
Discov Ment Health. 2024 May 23;4(1):16. doi: 10.1007/s44192-024-00071-8.
There has been concern about adolescent mental health during the pandemic. The current study examined adolescent mental health during the initial phase of the COVID-19 pandemic in the UK. Using indicator of psychological distress, wellbeing and resilience, latent profile analysis was used to identify homogeneous mental health groups among young people aged 13-24 (N = 1971). Multinomial logistic regression was then used to examine which sociodemographic and psychosocial variables predicted latent class membership. Four classes were found. The largest class (Class 1, 37.2%) was characterised by moderate symptomology and moderate wellbeing. Class 2 (34.2%) was characterised by low symptomology and high wellbeing, while Class 3 (25.4%) was characterised by moderate symptomology and high wellbeing. Finally, Class 4 was the smallest (3.2%) and was characterised by high symptomology and low wellbeing. Compared to the low symptomology, high wellbeing class, all other classes were associated with less social engagement with friends, poorer family functioning, greater somatic symptoms, and a less positive model of self. A number of unique associations between the classes and predictor variables were identified. Although around two-thirds of adolescents reported moderate-to-high symptomology, most of these individuals also reported concurrent moderate-to-high levels of wellbeing, reflecting resilience. Furthermore, these findings demonstrate how a more comprehensive picture of mental health can be gained through adopting a dual-continua conceptualisation of mental health that incorporates both pathology and well-being. In this way, at-risk youth can be identified and interventions and resources targeted appropriately.
在疫情期间，青少年心理健康问题备受关注。当前研究调查了英国新冠疫情初始阶段青少年的心理健康状况。利用心理困扰、幸福感和恢复力指标，采用潜在剖面分析来识别13至24岁年轻人（N = 1971）中的同质心理健康群体。然后使用多项逻辑回归来检验哪些社会人口统计学和心理社会变量可预测潜在类别归属。研究发现了四个类别。最大的类别（类别1，37.2%）的特征是症状中等且幸福感中等。类别2（34.2%）的特征是症状轻微且幸福感高，而类别3（25.4%）的特征是症状中等且幸福感高。最后，类别4最小（3.2%），其特征是症状严重且幸福感低。与症状轻微、幸福感高的类别相比，所有其他类别都与较少的朋友社交互动、较差的家庭功能、更多的躯体症状以及较不积极的自我认知模式相关。研究还确定了各类别与预测变量之间的一些独特关联。尽管约三分之二的青少年报告有中度至高度症状，但这些个体中的大多数也报告同时存在中度至高度的幸福感，这反映了他们的恢复力。此外，这些研究结果表明，通过采用包含病理学和幸福感的心理健康双连续体概念化方法，可以更全面地了解心理健康状况。这样一来，就可以识别出有风险的青少年，并针对性地提供干预措施和资源。
