Skip to main content

Advertisement

Log in

Determinants of Female Adolescents’ Quality of Life Before, during and after Detention: a Four-Wave Follow-Up Study Examining a Theory of Individual Quality of Life

  • Published:
Applied Research in Quality of Life Aims and scope Submit manuscript

Abstract

Quality of Life (QoL) has become an important indicator of health care needs and treatment outcomes. Yet studies on this topic among detained girls are still very scarce. This study aimed to fill this void by examining a theory of individual QoL, focussing on determinants of detained girls’ QoL over time. A four-wave follow-up study was conducted among 147 detained girls (Mage = 16.20). Participants rated their self-perceived QoL (i.e., physical health, psychological health, social relationships, and environment) before, during, and after detention. At baseline (i.e., shortly after admission), personal and environmental determinants of QoL were measured through self-report and file-information, including psychiatric disorders, reason for detention and trauma exposure. Multilevel growth curve analyses indicated that girls’ QoL decreased after admission, remained stable during detention, but increased after discharge, supporting the hypothesized dynamic nature of QoL. However, findings differed depending upon the QoL domain and baseline level. None of the three hypothesized determinants had significant main/interaction effects on QoL, at least not when controlling for baseline QoL and covariates. Yet, one covariate (i.e., school attendance) displayed significant main/interaction effects. These findings indicate that the influence of a particular determinant dependents upon a complex interplay of other personal/environmental factors. To conclude, we highlight the need for critical reflections upon the restricting and segregating nature of detention facilities and suggest there is a need to implement QoL enhancement strategies to create a more supportive climate for change. Moreover, we formulate recommendations for future research in order to further stimulate QoL theory evaluation and development.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Abbreviations

ADHD:

attention-deficit/hyperactivity disorder

CD:

conduct disorder

DISC-IV:

Diagnostic Interview Schedule for Children-IV

MDD:

major depressive disorder

ODD:

oppositional defiant disorder

PTSD:

post-traumatic stress disorder

QoL:

quality of life

SAD:

separation anxiety disorder

SES:

socioeconomic status

WHO:

World Health Organization

WHOQOL-BREF:

an abbreviated version of the WHOQOL-100 (i.e., the Quality of Life instrument of the World Health Organization)

YDC:

youth detention center

References

  • Aalsma, M. C., Brown, J. R., Holloway, E. D., & Ott, M. A. (2014). Connection to mental health care upon community reentry for detained youth: a qualitative study. BMC Public Health, https://doi.org/10.1186/1471-2458-14-117.

  • Abrantes, A. M., Hoffmann, N. G., & Anton, R. (2005). Prevalence of co-occurring disorders among juveniles committed to detention centers. International Journal of Offender Therapy and Comparative Criminology, 49(2), 179–193. https://doi.org/10.1177/0306624x04269673.

    Article  Google Scholar 

  • Agentschap Jongerenwelzijn. (2011). Differentiatie van het aanbod in de gemeenschapsinstellingen. Brussel: Vlaamse Overheid.

    Google Scholar 

  • Agentschap Jongerenwelzijn. (2012). Jaarverslag 2012. Brussel: Vlaamse Overheid.

    Google Scholar 

  • Agentschap Jongerenwelzijn. (2014). Tabel: evolutie van het aantal begeleide jongeren naar begeleidingsjaar en uitbatingsplaats van een gemeenschapsinstelling (absolute aantallen en percentages). Brussel: Vlaamse Overheid.

    Google Scholar 

  • Agnihotri, K., Awasthi, S., Singh, U., Chandra, H., & Thakur, S. (2010). A study of concordance between adolescent self-report and parent-proxy report of health-related quality of life in school-going adolescents. Journal of Psychosomatic Research, 69(6), 525–532.

    Google Scholar 

  • Al-Fayez, G. A., & Ohaeri, J. U. (2011). Profile of subjective quality of life and its correlates in a nation-wide sample of high school students in an Arab setting using the WHOQOL-Bref. BMC Psychiatry, 11, Artn 71. https://doi.org/10.1186/1471-244x-11-71.

    Article  Google Scholar 

  • Al-Fayez, G. A., Ohaeri, J. U., & Gado, O. M. (2012). Prevalence of physical, psychological, and sexual abuse among a nationwide sample of Arab high school students: association with family characteristics, anxiety, depression, self-esteem, and quality of life. Social Psychiatry and Psychiatric Epidemiology, 47(1), 53–66.

    Google Scholar 

  • Ashkar, P. J., & Kenny, D. T. (2008). Views from the inside - Young offenders' subjective experiences of incarceration. International Journal of Offender Therapy and Comparative Criminology, 52(5), 584–597. https://doi.org/10.1177/0306624x08314181.

    Article  Google Scholar 

  • Awasthi, S., Agnihotri, K., Singh, U., Thakur, S., & Chandra, H. (2011). Determinants of Health Related Quality of Life in School-Going Adolescents in Northern India. Indian Journal of Pediatrics, 78(5), 555–561. https://doi.org/10.1007/s12098-010-0305-9.

    Article  Google Scholar 

  • Barendregt, C. S., van der Laan, A. M., Bongers, I. L., & van Nieuwenhuizen, C. (2012). Explaining reoffending and psychiatric relapse in youth forensic psychiatry from a Good Lives Model perspective. In M. Groenhuijsen, & T. I. Oei (Eds.), Progression in Forensic Psychiatry: About boundaries (pp. 415–434). Deventer: Kluwer BV.

  • Barendregt, C. S., Van der Laan, A. M., Bongers, I. L., & Van Nieuwenhuizen, C. (2015). Stability and change in subjective quality of life of adolescents in secure residential care. Journal of Forensic Psychiatry & Psychology, 26(4), 493–509. https://doi.org/10.1080/14789949.2015.1034751.

    Article  Google Scholar 

  • Becker, S. J., Curry, J. F., & Yang, C. M. (2009). Longitudinal Association Between Frequency of Substance Use and Quality of Life Among Adolescents Receiving a Brief Outpatient Intervention. Psychology of Addictive Behaviors, 23(3), 482–490.

    Google Scholar 

  • Black, D. W., Gunter, T., Loveless, P., Allen, J., & Sieleni, B. (2010). Antisocial personality disorder in incarcerated offenders: Psychiatric comorbidity and quality of life. Annals of Clinical Psychiatry, 22(2), 113–120.

    Google Scholar 

  • Bonta, J., & Andrews, D. A. (2016). The psychology of criminal conduct (6th ed.): Routlegde.

  • Buunk, A. P., Peiro, J. M., Rocabert, E., & Dijkstra, P. (2016). Life satisfaction and status among adolescent law offenders. Criminal Behaviour and Mental Health, 26(2), 94–100. https://doi.org/10.1002/cbm.1971.

    Article  Google Scholar 

  • Chan, K. L. (2013). Victimization and poly-victimization among school-aged Chinese adolescents: Prevalence and associations with health. Preventive Medicine, 56(3–4), 207–210. https://doi.org/10.1016/j.ypmed.2012.12.018.

    Article  Google Scholar 

  • Chen, H. N., Cohen, P., Kasen, S., Johnson, J. G., Berenson, K., & Gordon, K. (2006). Impact of adolescent mental disorders and physical illnesses on quality of life 17 years later. Archives of Pediatrics and Adolescent Medicine, 160(1), 93–99.

    Google Scholar 

  • Chipuer, H. M., Bramston, P., & Pretty, G. (2003). Determinants of subjective quality of life among rural adolescents: A developmental perspective. Social Indicators Research, 61(1), 79–95.

    Google Scholar 

  • Colins, O. F. (2009). Psychiatric disorders and psychopathy in detained male adolescents. Ghent: Ghent University.

    Google Scholar 

  • Colins, O. F., Vermeiren, R., Schuyten, G., & Broekaert, E. (2009a). Psychiatric Disorders in Property, Violent, and Versatile Offending Detained Male Adolescents. American Journal of Orthopsychiatry, 79(1), 31–38. https://doi.org/10.1037/A0015337.

    Article  Google Scholar 

  • Colins, O. F., Vermeiren, R., Vreugdenhil, C., Schuyten, G., Broekaert, E., & Krabbendam, A. (2009b). Are psychotic experiences among detained juvenile offenders explained by trauma and substance use? [Comparative Study Research Support, Non-U.S. Gov't]. (2007). Drug and Alcohol Dependence, 100(1–2), 39–46. https://doi.org/10.1016/j.drugalcdep.2008.08.013.

  • Colins, O. F., Vermeiren, R., Vreugdenhil, C., van den Brink, W., Doreleijers, T., & Broekaert, E. (2010). Psychiatric Disorders in Detained Male Adolescents: A Systematic Literature Review. Canadian Journal of Psychiatry. Revue Canadienne de Psychiatrie, 55(4), 255–263.

    Google Scholar 

  • Damnjanovic, M., Lakic, A., Stevanovic, D., & Jovanovic, A. (2011). Effects of mental health on quality of life in children and adolescents living in residential and foster care: a cross-sectional study. Epidemiology and Psychiatric Sciences, 20(3), 257–262.

    Google Scholar 

  • De Clercq, B., Rettew, D., Althoff, R. R., & De Bolle, M. (2012). Childhood personality types: vulnerability and adaptation over time. Journal of Child Psychology and Psychiatry, 53(6), 716–722. https://doi.org/10.1111/j.1469-7610.2011.02512.x.

    Article  Google Scholar 

  • De Maeyer, J., Vanderplasschen, W., Lammertyn, J., van Nieuwenhuizen, C., Sabbe, B., & Broekaert, E. (2011). Current quality of life and its determinants among opiate-dependent individuals five years after starting methadone treatment. [Comparative Study]. Quality of Life Research, 20(1), 139–150. https://doi.org/10.1007/s11136-010-9732-3.

    Article  Google Scholar 

  • Dmitrieva, J., Monahan, K. C., Cauffman, E., & Steinberg, L. (2012). Arrested development: The effects of incarceration on the development of psychosocial maturity. Development and Psychopathology, 24(3), 1073–1090. https://doi.org/10.1017/S0954579412000545.

    Article  Google Scholar 

  • Dong, M., Anda, R. F., Dube, S. R., Giles, W. H., & Felitti, V. J. (2003). The relationship of exposure to childhood sexual abuse to other forms of abuse, neglect, and household dysfunction during childhood. Child Abuse & Neglect, 27(6), 625–639. https://doi.org/10.1016/S0145-2134(03)00105-4.

    Article  Google Scholar 

  • Dube, S. R., Anda, R. F., Felitti, V. J., Chapman, D. P., Williamson, D. F., & Giles, W. H. (2001). Childhood abuse, household dysfunction, and the risk of attempted suicide throughout the life span. Findings from the adverse childhood experiences study. The Journal of the American Medical Association, 286(24), 3089–3096.

    Google Scholar 

  • Edwards, J. R. (2001). Ten difference score myths. Organizational Research Methods, 4(3), 265–287. https://doi.org/10.1177/109442810143005.

    Article  Google Scholar 

  • Ferdinand, R., & Van der Ende, J. (2002). Diagnostic Interview Schedule for Children. Authorized Dutch translation of the NIMH DISC-IV (Shaffer D, Fisher P, Lucas C and the NIMH editorial board). Rotterdam: Erasmus University, Department of Child and Adolescent Psychiatry, Sophia Children's Hospital.

  • Field, A. (2009). Discovering statistics using SPSS (Third ed.). London, England: Sage.

    Google Scholar 

  • Fisher, D., Morgan, J., Print, B., & Leeson, S. (2010). Working with juveniles with sexually abusive behaviour in the UK: The G-Map approach. In R. E. Longo, D. S. Prescott, J. Bergman, & K. Creeden (Eds.), Current perspectives and applications in neurobiology: Working with young persons who are victims and perpetrators of sexual abuse (pp. 185–198). Holyoke: NEARI Press.

    Google Scholar 

  • Flynn, P. O., Regan, R. O., Reilly, K. O., & Kennedy, H. G. (2018). Predictors of quality of life among inpatients in forensic mental health: implications for occupational therapists. BMC Psychiatry, 18, ARTN 16. https://doi.org/10.1186/s12888-018-1605-2.

  • Gaspar, T., Matos, M. G., Pais, R., Jose, L., Leal, I., & Ferreira, A. (2009). Health-Related Quality of Life in Children and Adolescents and Associated Factors. Journal of Cognitive and Behavioral Psychotherapies, 9(1), 33–48.

    Google Scholar 

  • Gomez, L. E., Pena, E., Arias, B., & Verdugo, M. A. (2016). Impact of Individual and Organizational Variables on Quality of Life. Social Indicators Research, 125(2), 649–664. https://doi.org/10.1007/s11205-014-0857-6.

    Article  Google Scholar 

  • Gretton, H. M., & Clift, R. J. W. (2011). The mental health needs of incarcerated youth in British Columbia, Canada. International Journal of Law and Psychiatry, 34(2), 109–115.

    Google Scholar 

  • Gurka, M. J., Edwards, L. J., & Muller, K. E. (2011). Avoiding bias in mixed model inference for fixed effects. Statistics in Medicine, 30(22), 2696–2707. https://doi.org/10.1002/sim.4293.

    Article  Google Scholar 

  • Haraldstad, K., Christophersen, K. A., Eide, H., Nativg, G. K., & Helseth, S. (2011). Predictors of health-related quality of life in a sample of children and adolescents: a school survey. Journal of Clinical Nursing, 20(21–22), 3048–3056. https://doi.org/10.1111/j.1365-2702.2010.03693.x.

    Article  Google Scholar 

  • Harder, A. T., Knorth, E. J., & Kalverboer, M. E. (2011). Transition secured? A follow-up study of adolescents who have left secure residential care. Children and Youth Services Review, 33(12), 2482–2488. https://doi.org/10.1016/j.childyouth.2011.08.022.

    Article  Google Scholar 

  • Heck, R. H., Thomas, S. L., & Tabata, L. N. (2013). Multilevel and Longitudinal Modeling with IBM SPSS (2nd ed.). New York: Routledge.

    Google Scholar 

  • Higuita-Gutierrez, L. F., & Cardona-Arias, J. A. (2016). Predictive Modeling of Quality of Life, Family Dynamics, and School Violence in Adolescent Students from Medellin, Colombia, 2014. School Mental Health, 8(3), 399–410. https://doi.org/10.1007/s12310-016-9190-3.

    Article  Google Scholar 

  • Infante, M., Slattery, M. J., Klein, M. H., & Essex, M. J. (2007). Association of internalizing disorders and allergies in a child and adolescent psychiatry clinical sample. Journal of Clinical Psychiatry, 68(9), 1419–1425. https://doi.org/10.4088/JCP.v68n0915.

    Article  Google Scholar 

  • Jamieson, J. (2007). Difference score. In N. J. Salkind (Ed.), Encyclopedia of measurement and statistics (pp. 259–260). Thousand Oaks: Sage.

    Google Scholar 

  • Jud, A., Landolt, M. A., Tatalias, A., Lach, L. M., & Lips, U. (2013). Health-related quality of life in the aftermath of child maltreatment: follow-up study of a hospital sample. Quality of Life Research, 22(6), 1361–1369. https://doi.org/10.1007/s11136-012-0262-z.

    Article  Google Scholar 

  • Jung, T., & Wickrama, K. A. S. (2008). An introduction to latent class growth analysis and growth mixture modeling. Social and Personality Psychology Compass, 2(1), 302–317. https://doi.org/10.1111/j.1751-9004.2007.00054.x.

    Article  Google Scholar 

  • Karnik, N. S., Soller, M., Redlich, A., Silverman, M., Kraemer, H. C., Haapanen, R., et al. (2009). Prevalence of and Gender Differences in Psychiatric Disorders Among Juvenile Delinquents Incarcerated for Nine Months. Psychiatric Services, 60(6), 838–841.

    Google Scholar 

  • Kerig, P. K., & Schindler, S. R. (2013). Engendering the evidence base: A critical review of the conceptual and empirical foundations of gender-responsive interventions for girls’ delinquency. Laws, 2, 244–282. https://doi.org/10.3390/laws2030244.

    Article  Google Scholar 

  • Krabbendam, A. A., Colins, O. F., Doreleijers, T. A. H., van der Molen, E., Beekman, A. T. F., & Vermeiren, R. R. J. M. (2015). Personality Disorders in Previously Detained Adolescent Females: A Prospective Study. American Journal of Orthopsychiatry, 85(1), 63–71. https://doi.org/10.1037/Ort0000032.

    Article  Google Scholar 

  • LeBeau, B. (2013). Misspecification of the covariance matrix in the linear mixed model: A monte carlo simulation. Minnesota: The Faculty of the Graduate School of the University of Minnesota.

    Google Scholar 

  • Lederman, C. S., Dakof, G. A., Larrea, M. A., & Li, H. (2004). Characteristics of adolescent females in juvenile detention. [Research Support, Non-U.S. Gov't]. International Journal of Law and Psychiatry, 27(4), 321–337. https://doi.org/10.1016/j.ijlp.2004.03.009.

    Article  Google Scholar 

  • Lenssen, S. A. M., Doreleijers, T. A. H., van Dijk, M. E., & Hartman, C. A. (2000). Girls in detention: what are their characteristics? A project to explore and document the character of this target group and the significant ways in which it differs from one consisting of boys. Journal of Adolescence, 23(3), 287–303.

    Google Scholar 

  • Lyon, J., Dennison, C., & Wilson, A. (2000). ‘Tell Them So They Listen’: Messages from Young People in Custody. London: The Research, Development and Statistics Directorate.

    Google Scholar 

  • Matthews, B., & Hubbard, D. J. (2008). Moving ahead: Five essential elements for working effectively with girls. Journal of Criminal Justice, 36(6), 494–502. https://doi.org/10.1016/j.jcrimjus.2008.09.011.

    Article  Google Scholar 

  • McCabe, K. M., Lansing, A. E., Garland, A., & Hough, R. (2002). Gender differences in psychopathology, functional impairment, and familial risk factors among adjudicated delinquents. Journal of the American Academy of Child and Adolescent Psychiatry, 41(7). https://doi.org/10.1097/00004583-200207000-00020.

  • Ng, T. P., Lim, L. C. C., Jin, A. Z., & Shinfuku, N. (2005). Ethnic differences in quality of life in adolescents among Chinese, Malay and Indians in Singapore. Quality of Life Research, 14(7), 1755–1768. https://doi.org/10.1007/s11136-005-1741-2.

    Article  Google Scholar 

  • Pham, T., & Saloppe, X. (2013). Influence of psychopathy on self-perceived quality of life in forensic patients: a cohort study in Belgium. Journal of Forensic Psychiatry & Psychology, 24(1), 31–47. https://doi.org/10.1080/14789949.2012.747105.

    Article  Google Scholar 

  • Plattner, B., Steiner, H., The, S. S., Kraemer, H. C., Bauer, S. M., Kindler, J., et al. (2009). Sex-specific predictors of criminal recidivism in a representative sample of incarcerated youth. [Research Support, Non-U.S. Gov't]. Comprehensive Psychiatry, 50(5), 400–407. https://doi.org/10.1016/j.comppsych.2008.09.014.

    Article  Google Scholar 

  • Robertson, P., Barnao, M., & Ward, T. (2011). Rehabilitation frameworks in forensic mental health. Aggression and Violent Behavior, 16(6), 472–484. https://doi.org/10.1016/j.avb.2011.03.003.

  • Purvis, M., Ward, T., & Willis, G. (2011). The Good Lives Model in practice: Offence pathways and case management. European Journal of Probation, 3(2), 4–28.

    Google Scholar 

  • Sawatzky, R., Ratner, P. A., Johnson, J. L., Kopec, J. A., & Zumbo, B. D. (2010). Self-reported physical and mental health status and quality of life in adolescents: a latent variable mediation model. Health and Quality of Life Outcomes, 8(17), 1–11. https://doi.org/10.1186/1477-7525-8-17.

    Article  Google Scholar 

  • Sawyer, M. G., Guidolin, M., Schulz, K. L., McGinnes, B., Zubrick, S. R., & Baghurst, P. A. (2010). Mental health and wellbeing of adolescents on remand in Australia. Australian & New Zealand Journal of Psychiatry, 44(6), 551–559.

    Google Scholar 

  • Schalock, R. L. (2004). The concept of quality of life: what we know and do not know. Journal of Intellectual Disability Research, 48, 203–216. https://doi.org/10.1111/j.1365-2788.2003.00558.x.

    Article  Google Scholar 

  • Schalock, R. L. (2005). Introduction and overview. Journal of Intellectual Disability Research, 49, 695–698.

    Google Scholar 

  • Schalock, R. L., & Verdugo, M. A. (2002). Handbook on Quality of Life for human service practitioners. Washington DC: American Association on Mental Retardation.

    Google Scholar 

  • Schalock, R. L., Brown, I., Brown, R., Cummins, R. A., Felce, D., Matikka, L., et al. (2002). Conceptualization, measurement, and application of quality of life for persons with intellectual disabilities: Report of an International Panel of Experts. Mental Retardation, 40(6), 457–470. https://doi.org/10.1352/0047-6765(2002)040<0457:Cmaaoq>2.0.Co;2.

    Article  Google Scholar 

  • Schalock, R. L., Bonham, G. S., & Verdugo, M. A. (2008). The conceptualization and measurement of quality of life: Implications for program planning and evaluation in the field of intellectual disabilities. Evaluation and Program Planning, 31(2), 181–190. https://doi.org/10.1016/j.evalprogplan.2008.02.001.

    Article  Google Scholar 

  • Schalock, R. L., Verdugo, M. A., Gomez, L. E., & Reinders, H. S. (2016). Moving Us Toward a Theory of Individual Quality of Life. Ajidd-American Journal on Intellectual and Developmental Disabilities, 121(1), 1–12. https://doi.org/10.1352/1944-7558-121.1.1.

    Article  Google Scholar 

  • Schalock, R. L., Baker, A., Claes, C., Gonzalez, J., Malatest, R., van Loon, J., et al. (2018). The Use of Quality of Life Scores for Monitoring and Reporting, Quality Improvement, and Research. Journal of Policy and Practice in Intellectual Disabilities, 15(3), 176–182. https://doi.org/10.1111/jppi.12250.

    Article  Google Scholar 

  • Schubert, C. A., Mulvey, E. P., Loughran, T. A., & Losoya, S. H. (2012). Perceptions of Institutional Experience and Community Outcomes for Serious Adolescent Offenders. Criminal Justice and Behavior, 39(1), 71–93. https://doi.org/10.1177/0093854811426710.

    Article  Google Scholar 

  • Shaffer, D., Fisher, P., Lucas, C. P., Dulcan, M. K., & Schwab-Stone, M. E. (2000). NIMH Diagnostic Interview Schedule for Children Version IV (NIMH DISC-IV): Description, differences from previous versions, and reliability of some common diagnoses. Journal of the American Academy of Child and Adolescent Psychiatry, 39(1), 28–38.

    Google Scholar 

  • Sheahan, F. (2014). Neglected needs. Girls in the criminal justice system. London: Penal Reform International.

    Google Scholar 

  • Shek, D. T. L. (2005). Economic stress, emotional quality of life, and problem behavior in Chinese adolescents with and without economic disadvantage. Social Indicators Research, 71(1–3), 363–383.

    Google Scholar 

  • Skarupski, K. A., Parisi, J. M., Thorpe, R., Tanner, E., & Gross, D. (2016). The association of adverse childhood experiences with mid-life depressive symptoms and quality of life among incarcerated males: exploring multiple mediation. Aging & Mental Health, 20(6), 655–666. https://doi.org/10.1080/13607863.2015.1033681.

    Article  Google Scholar 

  • Sun, R. C. F., & Shek, D. T. L. (2010). Life Satisfaction, Positive Youth Development, and Problem Behaviour Among Chinese Adolescents in Hong Kong. Social Indicators Research, 95(3), 455–474. https://doi.org/10.1007/s11205-009-9531-9.

    Article  Google Scholar 

  • Teplin, L. A., Abram, K. M., McClelland, G. M., Dulcan, M. K., & Mericle, A. A. (2002). Psychiatric disorders in youth in juvenile detention. Archives of General Psychiatry, 59(12), 1133–1143. https://doi.org/10.1001/archpsyc.59.12.1133.

    Article  Google Scholar 

  • Thakker, J., Ward, T., & Tidmarsh, P. (2006). A reevaluation of relapse prevention with adolescents who sexually offend : a Good-Lives Model. In H. E. Barbaree & W. L. Marshall (Eds.), The Juvenile Sex Offender (pp. 313–335). New York: Guilford.

    Google Scholar 

  • The WHOQOL Group. (1998). Development of the World Health Organization WHOQOL-BREF quality of life assessment. Psychological Medicine, 28(3), 551–558.

    Google Scholar 

  • Todis, B., Bullis, M., Waintrup, M., Schultz, R., & D'Ambrosio, R. (2001). Overcoming the odds: Qualitative examination of resilience among formerly incarcerated adolescents. Exceptional Children, 68(1), 119–139.

    Google Scholar 

  • Togas, C., Raikou, M., & Niakas, D. (2014). An Assessment of Health Related Quality of Life in a Male Prison Population in Greece Associations with Health Related Characteristics and Characteristics of Detention. Biomed Research International, Artn 274804 https://doi.org/10.1155/2014/274804.

  • Trompenaars, F. J., Masthoff, E. D., Van Heck, G. L., Hodiamont, P. P., & De Vries, J. (2005). Content validity, construct validity, and reliability of the WHOQOL-Bref in a population of Dutch adult psychiatric outpatients. Quality of Life Research, 14, 151–160.

    Google Scholar 

  • Unruh, D. K., Gau, J. M., & Waintrup, M. G. (2009). An Exploration of Factors Reducing Recidivism Rates of Formerly Incarcerated Youth with Disabilities Participating in a Re-Entry Intervention. Journal of Child and Family Studies, 18(3), 284–293. https://doi.org/10.1007/s10826-008-9228-8.

    Article  Google Scholar 

  • Vahl, P., Van Damme, L., Doreleijers, T., Vermeiren, R., & Colins, O. F. (2016). The unique relation of childhood emotional maltreatment with mental health problems among detained male and female adolescents. Child Abuse and Neglect, 62, 142–150.

    Google Scholar 

  • Van Damme, L., Colins, O., & Vanderplasschen, W. (2014). Gender differences in psychiatric disorders and clusters of self-esteem among detained adolescents. Psychiatry Research, 220(3), 991–997. https://doi.org/10.1016/j.psychres.2014.10.012.

    Article  Google Scholar 

  • Van Damme, L., Colins, O. F., De Maeyer, J., Vermeiren, R., & Vanderplasschen, W. (2015). Girls' quality of life prior to detention in relation to psychiatric disorders, trauma exposure and socioeconomic status. Quality of Life Research, 24(6), 1419–1429. https://doi.org/10.1007/s11136-014-0878-2.

    Article  Google Scholar 

  • Van Damme, L., Grisso, T., Vermeiren, R., Guy, L., Verbeke, L., De Clercq, B., et al. (2016a). Massachusetts Youth Screening Instrument for mental health needs of youths in residenial welfare/justice institutions: Identifying gender differences across countries and settings. Journal of Forensic Psychiatry & Psychology, 27(5), 645–664. https://doi.org/10.1080/14789949.2016.1183034.

    Article  Google Scholar 

  • Van Damme, L., Hoeve, M., Vermeiren, R., Vanderplasschen, W., & Colins, O. F. (2016b). Quality of Life in Relation to Future Mental Health Problems and Offending: Testing the Good Lives Model among Detained Girls. Law and Human Behavior, 40(3), 285–294. https://doi.org/10.1037/lhb0000177.

    Article  Google Scholar 

  • van de Schoot, R., & Wong, T. M. L. (2012). Do delinquent young adults have a high or a low level of self-concept? Self and Identity, 11, 148–169.

    Google Scholar 

  • van der Helm, P., Beunk, L., Stams, G. J., & van der Laan, P. (2014). The Relationship Between Detention Length, Living Group Climate, Coping, and Treatment Motivation Among Juvenile Delinquents in a Youth Correctional Facility. Prison Journal, 94(2), 260–275. https://doi.org/10.1177/0032885514524884.

    Article  Google Scholar 

  • van der Helm, P., Kuiper, C. H. Z., & Stams, G. J. J. M. (2018). Group climate and treamtent motivation in secure residential and forensic youth care from the perspective of the self determination theory. Children and Youth Services Review, 93, 339–344.

    Google Scholar 

  • van der Laan, A. M., & Blom, M. (2005). Jeugddelinquentie: risico’s en bescherming: Bevindingen uit de WODC monitor zelfgerapporteerde jeugdcriminaliteit 2005. Den Haag: Boom Juridische Uitgevers.

    Google Scholar 

  • van der Molen, E., Vermeiren, R. R., Krabbendam, A. A., Beekman, A. T. F., Doreleijers, T. A. H., & Jansen, L. M. C. (2013). Detained adolescent females’ multiple mental health and adjustment problem outcomes in young adulthood. The Journal of Child Psychology and Psychiatry, 54(9), 950–957.

    Google Scholar 

  • Van Hecke, N., Claes, C., Vanderplasschen, W., De Maeyer, J., De Witte, N., & Vandevelde, S. (2018). Conceptualisation and measurement of quality of life based on Schalock & Verdugo's model: A cross-discplinary review of the literature. Social Indicators Research, 137(1), 335–351.

    Google Scholar 

  • Vandevelde, S., Vander Laenen, F., Van Damme, L., Vanderplasschen, W., Audenaert, K., Broekaert, E., et al. (2017). Dilemmas in applying strengths-based approaches in working with offenders with mental illness: A critical multidisciplinary review. Aggression and Violent Behavior, 32, 71–79. https://doi.org/10.1016/j.avb.2016.11.008.

    Article  Google Scholar 

  • von Rueden, U., Gosch, A., Rajmil, L., Bisegger, C., & Ravens-Sieberer, U. (2006). Socioeconomic determinants of health related quality of life in childhood and adolescence: results from a European study. Journal of Epidemiology and Community Health, 60(2), 130–135. https://doi.org/10.1136/jech.2005.039792.

    Article  Google Scholar 

  • Ward, T. (2002). Good lives and the rehabilitation of offenders - Promises and problems. Aggression and Violent Behavior, 7(5), 513–528. https://doi.org/10.1016/S1359-1789(01)00076-3.

    Article  Google Scholar 

  • Wilson, A., & Tully, P. (2009). Reintegrating young offenders into the community through discharge planning: a review of interventions and needs of youth in secure care. Australian Journal of Primary Health, 15(2), 166–172. https://doi.org/10.1071/Py08063.

    Article  Google Scholar 

  • Wylie, L. A., & Griffin, H. L. (2013). G-map's application of the Good Lives Model to adolescent males who sexually harm: A case study. Journal of Sexual Aggression, 19(3), 345–356.

    Google Scholar 

  • Zorginspectie. (2012). Rapport: Gemeenschapsinstellingen en De Grubbe: Inspecties april-mei 2012. Brussel: Vlaamse Overheid.

    Google Scholar 

Download references

Acknowledgments

We would like to thank Gregory Verleysen, statistical consultant from the Research Support Office at the Faculty of Psychology and Educational Sciences at Ghent University, for his statistical support.

Funding

This study is funded by the Special Research Fund from Ghent University and the Research Foundation – Flanders (FWO). None of these funding bodies were involved in the design of the study, nor in the collection, analysis, and interpretation of data or in writing the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lore Van Damme.

Ethics declarations

Conflict of Interest

The authors declare that they have no conflict of interest.

Ethics Approval and Consent to Participate

This study was approved by the Ethical Commission of the Faculty of Psychology and Educational Sciences at Ghent University (2011/59) and by the Board of the YDC. The detained girls provided written active informed consent before starting the assessment. At the moment the female adolescents entered the YDC, their parents also received a letter including information about the aims and practical aspects of the study and could refuse participation (i.e. passive informed consent).

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Van Damme, L., Vanderplasschen, W., Fortune, CA. et al. Determinants of Female Adolescents’ Quality of Life Before, during and after Detention: a Four-Wave Follow-Up Study Examining a Theory of Individual Quality of Life. Applied Research Quality Life 16, 401–434 (2021). https://doi.org/10.1007/s11482-019-09775-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11482-019-09775-4

Keywords

Navigation