Skip to main content
Top
Gepubliceerd in: Journal of Child and Family Studies 2/2020

09-09-2019 | Original Paper

An Accelerated Latent Class Growth Curve Analysis of Adolescent Bonds and Trajectories of Depressive Symptoms

Gepubliceerd in: Journal of Child and Family Studies | Uitgave 2/2020

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail

Abstract

Objectives

Relationships during adolescence are relevant predictors of depressive symptoms. This project studied how adolescent bonds and connectedness predict the likelihood of latent class membership on various depressive symptoms trajectories.

Method

From the restricted use National Longitudinal Study of Adolescent to Adult Health dataset (N = 7196), this study examined a nationally representative sample ranging from ages 11–31 (50.5% female, 42.2% non-white), using a latent class growth analysis with an accelerated design. Measures included the CES-D for tracking depressive symptoms longitudinally, “parent-child bond questions” from the Relations with Parents scale, and “school connectedness” questions and “time spent with friends” questions created by Add Health.

Results

Findings show two trajectories of depressive symptoms: one characterized (83%) relatively low, stable depressive symptoms over time, and the other (17%), moderate, fluctuating symptoms. Higher parent-child bond and higher school connectedness were related to a greater likelihood of being on the low-level stable trajectory. Time spent with friends was not significantly related to the likelihood of being on either trajectory.

Conclusions

Clinical implications include the necessity of targeting adolescent bond relationships that could affect the trajectory of depression over time. Specifically, capitalizing on adolescents’ school connectedness and parent-child bond is essential for both short-term and long-term mood health. Implications for research indicate a need for longitudinal data collection to target the level of connectedness adolescents feel with their friends to examine whether the strength of the relationship influences depressive symptoms trajectories where time spent with friends did not.
Literatuur
go back to reference Allen, J. P. (2008). The attachment system in adolescence. In J. Cassidy & P. R. Shaver (Eds.), Handbook of attachment: theory, research, and clinical applications. 2nd ed. (pp. 419–431). New York, NY: The Guilford Press. Allen, J. P. (2008). The attachment system in adolescence. In J. Cassidy & P. R. Shaver (Eds.), Handbook of attachment: theory, research, and clinical applications. 2nd ed. (pp. 419–431). New York, NY: The Guilford Press.
go back to reference Allen, J. P., & Land, D. (1999). Attachment in adolescence. In J. Cassidy & P. Shaver (Eds.), Handbook of attachment: theory, research, and clinical applications (pp. 319–333). New York, NY: Guilford Press. Allen, J. P., & Land, D. (1999). Attachment in adolescence. In J. Cassidy & P. Shaver (Eds.), Handbook of attachment: theory, research, and clinical applications (pp. 319–333). New York, NY: Guilford Press.
go back to reference American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (DSM-5®). Washington, D.C.: American Psychiatric Pub. American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (DSM-5®). Washington, D.C.: American Psychiatric Pub.
go back to reference Beach, S. R., Brody, G. H., Lei, M. K., Gibbons, F. X., Gerrard, M., Simons, R. L., & Philibert, R. A. (2013). Impact of child sex abuse on adult psychopathology: a genetically and epigenetically informed investigation. Journal of Family Psychology, 27(1), 3–19.CrossRefPubMed Beach, S. R., Brody, G. H., Lei, M. K., Gibbons, F. X., Gerrard, M., Simons, R. L., & Philibert, R. A. (2013). Impact of child sex abuse on adult psychopathology: a genetically and epigenetically informed investigation. Journal of Family Psychology, 27(1), 3–19.CrossRefPubMed
go back to reference Beach, S. R., & Whisman, M. (2012). Relationship distress: Impact on mental illness, physical health, children, and family economics. In H. Foran, S. Beach & A. Smith (Eds.), Family problems and family violence: reliable assessment and the ICD-11 (pp. 91–100). New York, NY: Springer Publishing Company. Beach, S. R., & Whisman, M. (2012). Relationship distress: Impact on mental illness, physical health, children, and family economics. In H. Foran, S. Beach & A. Smith (Eds.), Family problems and family violence: reliable assessment and the ICD-11 (pp. 91–100). New York, NY: Springer Publishing Company.
go back to reference Chantala, K. (2006). Guidelines for analyzing add health data. Chapel Hill, NC: Carolina. Population Center. Chantala, K. (2006). Guidelines for analyzing add health data. Chapel Hill, NC: Carolina. Population Center.
go back to reference del Barrio, V., & Carrasco, M. Á. (2016). Problemas conductuales y emocionales en la infancia y la adolescencia. Padres y Maestros/Journal of Parents and Teachers, 365, 55–61.CrossRef del Barrio, V., & Carrasco, M. Á. (2016). Problemas conductuales y emocionales en la infancia y la adolescencia. Padres y Maestros/Journal of Parents and Teachers, 365, 55–61.CrossRef
go back to reference Diamond, G. S., Diamond, G. M., & Levy, S. A. (2014). Attachment-based family therapy for depressed adolescents. Washington, D.C.: American Psychological Association.CrossRef Diamond, G. S., Diamond, G. M., & Levy, S. A. (2014). Attachment-based family therapy for depressed adolescents. Washington, D.C.: American Psychological Association.CrossRef
go back to reference Duncan, T. E., Duncan, S. C., & Strycker, L. A. (2006). An introduction to latent growth curve modeling: concepts, issues, and application. 2nd ed. Mahwah, NJ: Lawrence Eribaum Associates. Duncan, T. E., Duncan, S. C., & Strycker, L. A. (2006). An introduction to latent growth curve modeling: concepts, issues, and application. 2nd ed. Mahwah, NJ: Lawrence Eribaum Associates.
go back to reference Duke, N. N., Skay, C. L., Pettingell, S. L., & Borowsky, I. W. (2009). From adolescent connections to social capital: Predictors of civic engagement in young adulthood. Journal of Adolescent Health, 44(2), 161–168.CrossRef Duke, N. N., Skay, C. L., Pettingell, S. L., & Borowsky, I. W. (2009). From adolescent connections to social capital: Predictors of civic engagement in young adulthood. Journal of Adolescent Health, 44(2), 161–168.CrossRef
go back to reference Dyer, W. J., & Day, R. D. (2015). Investigating family shared realities with factor mixture modeling. Journal of Marriage and Family, 77, 191–208.CrossRef Dyer, W. J., & Day, R. D. (2015). Investigating family shared realities with factor mixture modeling. Journal of Marriage and Family, 77, 191–208.CrossRef
go back to reference Furrow, J., Palmer, G., Johnson, S., Faller, G., & Olsen, L. P. (2017). Emotionally focused family therapy: restoring connection and promoting resilience. New York, NY: Taylor & Francis. Furrow, J., Palmer, G., Johnson, S., Faller, G., & Olsen, L. P. (2017). Emotionally focused family therapy: restoring connection and promoting resilience. New York, NY: Taylor & Francis.
go back to reference Grimm, K. J., Ram, N., & Estabrook, R. (2010). Nonlinear structured growth mixture models in Mplus and OpenMx. Multivariate Behavioral Research, 45, 887–909.CrossRefPubMedPubMedCentral Grimm, K. J., Ram, N., & Estabrook, R. (2010). Nonlinear structured growth mixture models in Mplus and OpenMx. Multivariate Behavioral Research, 45, 887–909.CrossRefPubMedPubMedCentral
go back to reference Hazan, C., & Zeifman, D. (1994) Sex and the psychological tether. In K. Bartholomew & D. Perlman (Eds.). Advances in personal relationships: attachment relationships in adulthood. (Vol. 5. 151–177). London: Jessica Kingsley. Hazan, C., & Zeifman, D. (1994) Sex and the psychological tether. In K. Bartholomew & D. Perlman (Eds.). Advances in personal relationships: attachment relationships in adulthood. (Vol. 5. 151–177). London: Jessica Kingsley.
go back to reference Jung, T., & Wickrama, K. A. A. (2008). An introduction to latent class growth analysis and growth mixture modeling. Social and Personality Psychology Compass, 2(1), 302–317.CrossRef Jung, T., & Wickrama, K. A. A. (2008). An introduction to latent class growth analysis and growth mixture modeling. Social and Personality Psychology Compass, 2(1), 302–317.CrossRef
go back to reference Kendler, K. S., Karkowski, L. M., & Prescott, C. A. (1999). Causal relationship between stressful life events and the onset of major depression. American Journal of Psychiatry, 156(6), 837–841.CrossRefPubMed Kendler, K. S., Karkowski, L. M., & Prescott, C. A. (1999). Causal relationship between stressful life events and the onset of major depression. American Journal of Psychiatry, 156(6), 837–841.CrossRefPubMed
go back to reference Kessler, R. C., Berglund, P., Demler, O., Jin, R., Merikangas, K. R., & Walters, E. E. (2005). Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry, 62(6), 593–602.CrossRefPubMed Kessler, R. C., Berglund, P., Demler, O., Jin, R., Merikangas, K. R., & Walters, E. E. (2005). Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry, 62(6), 593–602.CrossRefPubMed
go back to reference Kessler, R. C., Angermeyer, M., Anthony, J. C., De Graaf, R., Demyttenaere, K., & Gasquet, I., on behalf of For The WHO World Mental Health Survey Consortium. (2007). Lifetime prevalence and age-of-onset distributions of mental disorders in the World Health Organization’s World Mental Health Survey Initiative. World Psychiatry, 6(3), 168–176.PubMedPubMedCentral Kessler, R. C., Angermeyer, M., Anthony, J. C., De Graaf, R., Demyttenaere, K., & Gasquet, I., on behalf of For The WHO World Mental Health Survey Consortium. (2007). Lifetime prevalence and age-of-onset distributions of mental disorders in the World Health Organization’s World Mental Health Survey Initiative. World Psychiatry, 6(3), 168–176.PubMedPubMedCentral
go back to reference Kelley, M. S., & Sokol-Katz, J. (2011). Examining participation in school sports and patterns of delinquency using the National Longitudinal Study of Adolescent Health. Sociological Focus, 44(2), 81–101.CrossRef Kelley, M. S., & Sokol-Katz, J. (2011). Examining participation in school sports and patterns of delinquency using the National Longitudinal Study of Adolescent Health. Sociological Focus, 44(2), 81–101.CrossRef
go back to reference Libbey, H. P. (2004). Measuring student relationships to school: Attachment, bonding, connectedness, and engagement. Journal of School Health, 74(7), 274–283.CrossRefPubMed Libbey, H. P. (2004). Measuring student relationships to school: Attachment, bonding, connectedness, and engagement. Journal of School Health, 74(7), 274–283.CrossRefPubMed
go back to reference Little, T. D. (2013). Longitudinal structural equation modeling. New York, NY: The Guildford Press. Little, T. D. (2013). Longitudinal structural equation modeling. New York, NY: The Guildford Press.
go back to reference Lo, Y., Mendell, N. R., & Rubin, D. B. (2001). Testing the number of components in a normal mixture. Biometrika, 88, 767–778.CrossRef Lo, Y., Mendell, N. R., & Rubin, D. B. (2001). Testing the number of components in a normal mixture. Biometrika, 88, 767–778.CrossRef
go back to reference McGoldrick, M., Carter, E. A., & Garcia-Preto, N. (2011). Overview: the life cycle in its changing contexts: individual, family, and social perspectives. In M. McGoldrick, E. A. Carter & N. Garcia-Preto (Eds.), The expanded family life cycle: individual, family and social perspectives. 4th ed. (pp. 1–19). Boston: Allyn & Bacon. McGoldrick, M., Carter, E. A., & Garcia-Preto, N. (2011). Overview: the life cycle in its changing contexts: individual, family, and social perspectives. In M. McGoldrick, E. A. Carter & N. Garcia-Preto (Eds.), The expanded family life cycle: individual, family and social perspectives. 4th ed. (pp. 1–19). Boston: Allyn & Bacon.
go back to reference Moody, J., & Bearman, P. S. (1998). Shaping school climate: school context, adolescent social networks, and attachment to school. Unpublished manuscript. Moody, J., & Bearman, P. S. (1998). Shaping school climate: school context, adolescent social networks, and attachment to school. Unpublished manuscript.
go back to reference Muthén, B. O. (2004). Latent variable analysis: growth mixture modeling and related techniques for longitudinal data. In D. Kaplan (Ed.), The Sage handbook of quantitative methodology for the social sciences (pp. 345–368). Thousand Oaks, CA: Sage. Muthén, B. O. (2004). Latent variable analysis: growth mixture modeling and related techniques for longitudinal data. In D. Kaplan (Ed.), The Sage handbook of quantitative methodology for the social sciences (pp. 345–368). Thousand Oaks, CA: Sage.
go back to reference Muthén, L. K., & Muthén, B. O. (1998). Mplus user’s guide. 8th ed. Los Angeles, CA: Muthén & Muthén. 2012. Muthén, L. K., & Muthén, B. O. (1998). Mplus user’s guide. 8th ed. Los Angeles, CA: Muthén & Muthén. 2012.
go back to reference Ram, N., & Grimm, K. J. (2009). Growth mixture modeling: a method for identifying differences in longitudinal change among unobserved groups. International Journal of Behavioral Development, 33(6), 565–576.CrossRefPubMedPubMedCentral Ram, N., & Grimm, K. J. (2009). Growth mixture modeling: a method for identifying differences in longitudinal change among unobserved groups. International Journal of Behavioral Development, 33(6), 565–576.CrossRefPubMedPubMedCentral
go back to reference Resnick, M. D., Bearman, P. S., Blum, R. W., Bauman, K. E., Harris, K. M., Jones, J..., & Ireland, M. (1997). Protecting adolescents from harm: findings from the national longitudinal study on adolescent health. Journal of the American Medical Association, 278(10), 823–832. Resnick, M. D., Bearman, P. S., Blum, R. W., Bauman, K. E., Harris, K. M., Jones, J..., & Ireland, M. (1997). Protecting adolescents from harm: findings from the national longitudinal study on adolescent health. Journal of the American Medical Association, 278(10), 823–832.
go back to reference Rohde, P., Lewinsohn, P. M., Klein, D. N., Seeley, J. R., & Gau, J. M. (2013). Key characteristics of major depressive disorder occurring in childhood, adolescence, emerging adulthood, and adulthood. Clinical Psychological Science, 1(1), 41–53.CrossRef Rohde, P., Lewinsohn, P. M., Klein, D. N., Seeley, J. R., & Gau, J. M. (2013). Key characteristics of major depressive disorder occurring in childhood, adolescence, emerging adulthood, and adulthood. Clinical Psychological Science, 1(1), 41–53.CrossRef
go back to reference Settle, J. E., Bond, R., & Levitt, J. (2011). The social origins of adult political behavior. American Politics Research, 39(2), 239–263.CrossRef Settle, J. E., Bond, R., & Levitt, J. (2011). The social origins of adult political behavior. American Politics Research, 39(2), 239–263.CrossRef
go back to reference Siddaway, A. P., Wood, A. M., & Taylor, P. J. (2017). The Center for Epidemiologic Studies-Depression (CES-D) scale measures a continuum from well-being to depression: testing two key predictions of positive clinical psychology. Journal of Affective Disorders, 213, 180–186.CrossRefPubMedPubMedCentral Siddaway, A. P., Wood, A. M., & Taylor, P. J. (2017). The Center for Epidemiologic Studies-Depression (CES-D) scale measures a continuum from well-being to depression: testing two key predictions of positive clinical psychology. Journal of Affective Disorders, 213, 180–186.CrossRefPubMedPubMedCentral
go back to reference Shochet, I. M., Dadds, M. R., Ham, D., & Montague, R. (2006). School connectedness is an underemphasized parameter in adolescent mental health: results of a community prediction study. Journal of Clinical Child & Adolescent Psychology, 35(2), 170–179.CrossRef Shochet, I. M., Dadds, M. R., Ham, D., & Montague, R. (2006). School connectedness is an underemphasized parameter in adolescent mental health: results of a community prediction study. Journal of Clinical Child & Adolescent Psychology, 35(2), 170–179.CrossRef
go back to reference Twenge, J., & Nolen-Hoeksema, S. (2002). Age, gender, race, socioeconomic status, and birth cohort differences on the children’s depression inventory: a meta-analysis. Journal of Abnormal Psychology, 111(4), 578–588.CrossRefPubMed Twenge, J., & Nolen-Hoeksema, S. (2002). Age, gender, race, socioeconomic status, and birth cohort differences on the children’s depression inventory: a meta-analysis. Journal of Abnormal Psychology, 111(4), 578–588.CrossRefPubMed
go back to reference Vermunt, J. K. (2010). Latent class modeling with covariates: two improved three-step approaches. Society for Political Methodology, 18(4), 450–469. Vermunt, J. K. (2010). Latent class modeling with covariates: two improved three-step approaches. Society for Political Methodology, 18(4), 450–469.
Metagegevens
Titel
An Accelerated Latent Class Growth Curve Analysis of Adolescent Bonds and Trajectories of Depressive Symptoms
Publicatiedatum
09-09-2019
Gepubliceerd in
Journal of Child and Family Studies / Uitgave 2/2020
Print ISSN: 1062-1024
Elektronisch ISSN: 1573-2843
DOI
https://doi.org/10.1007/s10826-019-01542-1

Andere artikelen Uitgave 2/2020

Journal of Child and Family Studies 2/2020 Naar de uitgave