Abstract
A better understanding of variability in the strengths of youth with psychiatric disorders is critical as a strength-based approach can lead to recovery. This study aimed to identify subgroups of strengths among youth with mental disorders and determine whether subgroups changes were associated with mental health recovery. Youth with mental disorders (N = 2228) from a statewide database were identified in the state fiscal year of 2019. Using the latent profile analysis and latent transition analysis, we identified three strength profiles (i.e., essential, usable, and buildable). Over 90% of youth sustained or developed strengths over time. Positive transitions were associated with mental health recovery, symptom reduction, and personal recovery. Buildable strengths supported youth’s personal recovery independent of improving mental health needs. The findings suggest that subgroups of strengths may be a promising source for planning and tracking youth’s progress and guiding clinicians to more efficiently allocate community-based resources.
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References
Kieling C, Baker-Henningham H, Belfer M, Conti G, Ertem I, Omigbodun O et al (2011) Child and adolescent mental health worldwide: Evidence for action. Lancet 378:1515–1525
Green H, McGinnity Á, Meltzer H, Ford T, Goodman R (2005) Mental health of children and young people in Great Britain, 2004: Palgrave Macmillan Basingstoke
Burstein B, Agostino H, Greenfield B (2019) Suicidal atempts and ideation among children and adolescents in US emergency departments, 2007–2015, 2007–2015. JAMA Pediatr 173:598–600
Naghavi M (2019) Global burden of disease self-harm C: global, regional, and national burden of suicide mortality 1990 to 2016: systematic analysis for the global burden of disease study 2016. BMJ 364:l94
Davis KE (2014) Expenditures for Treatment of Mental Health Disorders among Children, Ages 5–17, 2009–2011: Estimates for the U.S. Civilian Noninstitutionalized Population; in Statistical Brief (Medical Expenditure Panel Survey (US)). Rockville (MD)
Birmaher B, Williamson DE, Dahl RE, Axelson DA, Kaufman J, Dorn LD, Ryan ND (2004) Clinical presentation and course of depression in youth: does onset in childhood differ from onset in adolescence? J Am Acad Child Adolesc Psychiatry 43:63–70
Collishaw S (2015) Annual research review: secular trends in child and adolescent mental health. J Child Psychol Psychiatry 56:370–393
Kim-Cohen J, Caspi A, Moffitt TE, Harrington H, Milne BJ, Pouulton R (2003) Prior juvenile diagnoses in adults with mental disorder: developmental follow-back of a prospective-longitudinal cohort. Arch Gen Psychiatry 60:709–717
Hammond W, Zimmerman R (2012) A strengths-based perspective. A report for resiliency initiatives:1–18
Ladis BA, Macgowan M, Thomlison B, Fava NM, Huang H, Trucco EM et al (2019) Parent-focused preventive interventions for youth substance use and problem behaviors: a systematic review. Research on Social Work Practice 29:420–442
McCaskey W (2008) The Strengths Approach: Victoria. St. Luke’s Innovative Resources
Keyes CL, Lopez SJ (2009) Toward a science of mental health. Oxford handbook of positive psychology:89–95
Cox K (2008) Tools for Building on Youth Strengths. Reclaiming Children & Youth 16
Weick A, Chamberlain R (2002) Putting problems in their place: Further explorations in the strengths perspective. Streng Perspec Soc Work Prac 1:95–105
Tse S, Tsoi EW, Hamilton B, O’Hagan M, Shepherd G, Slade M et al (2016) Uses of strength-based interventions for people with serious mental illness: A critical review. Int J Soc Psychiatry 62:281–291
Hui CL, Lee EH, Chang WC, Chen EY (2016) Letter to the Editor: Comparing delusional disorder and schizophrenia: a comment on Hui et al. (2015)-a reply. Psychol Med 46:1561–2
Rapp CA, Sullivan WP (2014) The strengths model: birth to toddlerhood. Advances in Social Work 15:129–142
Aldam SFS, Keliat BA, Wardani IY, Sulistiowati NMD, Florensa MVA (2019) Risk factors of mental health in adolescents: emotional, behavioral, family, and peer relationship problems. Compr Child Adolesc Nurs 42:284–290
Segrin C (2019) Indirect effects of social skills on health through stress and loneliness. Health Commun 34:118–124
Chen Y, Su J, Ren Z, Huo Y (2019) Optimism and mental health of minority students: moderating effects of cultural adaptability. Front Psychol 10:2545
Yamada A-M, Lukoff D, Lim CS, Manuucuso LL (2020) Integrating spirituality and mental health: perspectives of adults receiving public mental health services in California. Psychology of Religion Spirituality 12:276
Lee K (2020) Social support and self-esteem on the association between stressful life events and mental health outcomes among college students. Soc Work Health Care 59:387–407
Rose T, Lindsey MA, Xiao Y, Finigan-Carr N, Joe S (2017) Mental health and educational experiences among black youth: a latent class analysis. J Youth Adolesc 46:2321–2340
Lyons JS, Uziel-Miller ND, Reyes F, Sokol PT (2000) Strengths of children and adolescents in residential settings: prevalence and associations with psychopathology and discharge placement. J Am Acad Child Adolesc Psychiatry 39:176–181
Luthar SS, Cicchetti D, Becker B (2000) The construct of resilience: a critical evaluation and guidelines for future work. Child development 71:543–562
Masten AS (2014) Global perspectives on resilience in children and youth. Child development 85:6–20
Werner EE, Smith RS (1989) Vulnerable, but invincible: a longitudinal study of resilient children and youth. Adams, Bannister, Cox, New York
Ungar M (2011) The social ecology of resilience: addressing contextual and cultural ambiguity of a nascent construct. Am J Orthopsychiatry 81:1–17
Leon SC, Dickson DA (2019) The impact of kinship networks on foster care children’s outcomes. Fam Relat 68:169–184
Scotto Rosato N, Baer JC (2012) Latent class analysis: a method for capturing heterogeneity. Social Work Research 36:61–69
Hays K, Gilreath T (2017) Profiles of depression help seeking among black americans: a latent class approach. J Nerv Ment Dis 205:627–633
Rusch N, Muller M, Ajdacic-Gross V, Rodgers S, Corrigan PW, Rossler W (2014) Shame, perceived knowledge and satisfaction associated with mental health as predictors of attitude patterns towards help-seeking. Epidemiol Psychiatr Sci 23:177–187
von Elm E, Altman DG, Egger M, Pocock SJ, Gotzsche PC, Vandenbrouucke JP (2007) The strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. Epidemiology 18:800–804
Lyons JS (2009) Communimetrics: A communication theory of measurement in human service settings. Springer Science & Business Media
Anderson RL, Lyons JS, Giles DM, Price JA, Estle G (2003) Reliability of the child and adolescent needs and strengths-mental health (CANS-MH) scale. J Child Fam Stud 12:279–289
Cordell KD, Snowden LR, Hosier L (2016) Patterns and priorities of service need identified through the Child and Adolescent Needs and Strengths (CANS) assessment. Child Youth Serv Rev 60:129–135
Walton BA, Kim H-W (2018) Validating a behavioral health instrument for adults: exploratory factor analysis. J Soc Serv Res 44:249–265
Akaike H (1987) Factor analysis and AIC; in Selected papers of hirotugu akaike. Springer
Schwarz G (1978) Estimating the dimension of a model. Ann Stat 6:461–464
Sclove SL (1987) Application of model-selection criteria to some problems in multivariate analysis. Psychometrika 52:333–343
Lo Y, Mendell NR, Rubin DB (2001) Testing the number of components in a normal mixture. Biometrika 88:767–778
Lind C, Walsh C, Mccaffrey G, Wardle M-L, Johansson B, Juuuby B (2019) Youth strengths arise from the ashes of adversity. International Journal of Adolescence Youth 24:274–281
Slesnick N, Zhang J, Brakenhoff B (2017) Personal control and service connection as paths to improved mental health and exiting homelessness among severely marginalized homeless youth. Children youth services review 73:121–127
Conger R, Ge X (1999) Conflict and cohesion in families: Causes and consequences: Mahwah. Lawrence Erbaum Associates Publisher
Kim KJ, Conger RD, Lorenz FO (2001) Parent–adolescent reciprocity in negative affect and its relation to early adult social development. Dev Psychol 37:775
Pelham WE, Lang AR, Atkeson B, Murphy DA, Gnagy EM, Greiner AR et al (1997) Effects of deviant child behavior on parental distress and alcohol consumption in laboratory interactions. J Abnorm Child Psychol 25:413–424
Bronfenbrenner U (1994) Ecological models of human development. Readings on the development of children. Elsevier, Oxford
Funding
Division of Mental Health and Addiction, Indiana Family & Social Service Administration (A55-5-49-15-UE-0203). The funding agency had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript, and decision to submit the manuscript for publication.
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Study concept and design: Hong; Data acquisition and statistical analyses: Hong; Interpretation of data: All authors; Drafting of the manuscript: Hong and Rhee; Critical revision of the manuscript for important intellectual content: All authors. Hong had full access to all of the data in this study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
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Hong, S., Walton, B., Kim, HW. et al. Longitudinal Patterns of Strengths Among Youth with Psychiatric Disorders: A Latent Profile Transition Analysis. Child Psychiatry Hum Dev 54, 1–8 (2023). https://doi.org/10.1007/s10578-021-01217-3
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DOI: https://doi.org/10.1007/s10578-021-01217-3