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Demographic, contextual and behavioural predictors of cluster membership were determined through multiple discriminant function analysis. We performed cross-validation analyses using holdout samples.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      We identified five clusters (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      = 7083). The\n                      <jats:italic toggle=\"yes\">healthy<\/jats:italic>\n                      cluster (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      = 2855, 40.31%) reported positive mental health across indicators; the\n                      <jats:italic toggle=\"yes\">anxious<\/jats:italic>\n                      cluster (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      = 1994, 28.15%) reported high possible anxiety symptoms and otherwise generally positive results; the\n                      <jats:italic toggle=\"yes\">stressed and hurting<\/jats:italic>\n                      cluster (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      = 667, 9.42%) reported sub-clinical depression and possible anxiety symptoms and some self-harm; the\n                      <jats:italic toggle=\"yes\">distressed and ideating<\/jats:italic>\n                      cluster (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      = 1116, 15.76%) reported above-cutoff depression and possible anxiety symptoms and high suicide ideation; and the\n                      <jats:italic toggle=\"yes\">severe<\/jats:italic>\n                      cluster (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      = 451; 6.37%) reported the least positive mental health across indicators. Female, rainbow, M\u0101ori and Pacific students and those in higher deprivation areas were overrepresented in higher severity clusters. Factors including exposure to sexual harm and discrimination were associated with increasing cluster severity.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>We identified high prevalence of mental health challenges among adolescents, with distinct clusters of need. Youth mental health is not \u2018one size fits all\u2019. Future research should explore youth behaviour and preferences in accessing support and consider how to best support the mental health of each cluster.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/00048674241243262","type":"journal-article","created":{"date-parts":[[2024,4,11]],"date-time":"2024-04-11T00:32:00Z","timestamp":1712795520000},"page":"678-692","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":8,"title":["Distinct profiles of mental health need and high need overall among New Zealand adolescents \u2013 Cluster analysis of population survey data"],"prefix":"10.1177","volume":"58","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5658-2757","authenticated-orcid":false,"given":"Kylie","family":"Sutcliffe","sequence":"first","affiliation":[{"name":"School of Psychology, Faculty of Science, Te Herenga Waka \u2013 Victoria University of Wellington, Wellington, New Zealand"},{"name":"School of Health, Faculty of Health, Te Herenga Waka \u2013 Victoria University of Wellington, Wellington, New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3009-5229","authenticated-orcid":false,"given":"Marc","family":"Wilson","sequence":"additional","affiliation":[{"name":"School of Psychology, Faculty of Science, Te Herenga Waka \u2013 Victoria University of Wellington, Wellington, New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5499-5080","authenticated-orcid":false,"given":"Terryann C","family":"Clark","sequence":"additional","affiliation":[{"name":"(Ng\u0101puhi) School of Nursing, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sue","family":"Crengle","sequence":"additional","affiliation":[{"name":"(K\u0101i Tahu, K\u0101ti M\u0101moe, Waitaha) Ng\u0101i Tahu M\u0101ori Health Research Unit, Division of Health Sciences, University of Otago, Dunedin, New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5174-9359","authenticated-orcid":false,"given":"Terry (Theresa)","family":"Fleming","sequence":"additional","affiliation":[{"name":"School of Health, Faculty of Health, Te Herenga Waka \u2013 Victoria University of Wellington, Wellington, New Zealand"},{"name":"Department of Epidemiology and Biostatistics, University of Auckland, Auckland, New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2024,4,10]]},"reference":[{"key":"e_1_3_3_2_1","unstructured":"Atkinson J Salmond C Crampton P (2019) NZDep2018 index of deprivation users\u2019 manual. 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