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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\u201324 (<jats:italic>N<\/jats:italic>\u2009=\u20091971). 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 <jats:italic>moderate symptomology and moderate wellbeing<\/jats:italic>. Class 2 (34.2%) was characterised by <jats:italic>low symptomology and high wellbeing,<\/jats:italic> while Class 3 (25.4%) was characterised by <jats:italic>moderate symptomology and high wellbeing.<\/jats:italic> Finally, Class 4 was the smallest (3.2%) and was characterised by <jats:italic>high symptomology and low wellbeing.<\/jats:italic> Compared to the <jats:italic>low symptomology, high wellbeing<\/jats:italic> 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.<\/jats:p>","DOI":"10.1007\/s44192-024-00071-8","type":"journal-article","created":{"date-parts":[[2024,5,23]],"date-time":"2024-05-23T13:02:05Z","timestamp":1716469325000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Psychological distress, wellbeing and resilience: modelling adolescent mental health profiles during the COVID-19 pandemic"],"prefix":"10.1007","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9735-9156","authenticated-orcid":false,"given":"Sarah","family":"Butter","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mark","family":"Shevlin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jilly","family":"Gibson-Miller","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Orla","family":"McBride","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Todd K.","family":"Hartman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Richard P.","family":"Bentall","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kate","family":"Bennett","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jamie","family":"Murphy","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liam","family":"Mason","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anton P.","family":"Martinez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liat","family":"Levita","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,5,23]]},"reference":[{"key":"71_CR1","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyt.2019.00355","author":"P Fusar-Poli","year":"2019","unstructured":"Fusar-Poli P. 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