Hostname: page-component-cd9895bd7-p9bg8 Total loading time: 0 Render date: 2024-12-22T10:05:42.141Z Has data issue: false hasContentIssue false

A person-centered approach to studying associations between psychosocial vulnerability factors and adolescent depressive symptoms and suicidal ideation in a Canadian longitudinal sample

Published online by Cambridge University Press:  08 May 2020

Lalou Tisseyre
Affiliation:
Department of Psychology, Université du Québec à Montréal, QC, Canada Center for Research and Intervention on Suicide, Ethical Issues and End-of-Life Practices, Université du Québec à Montréal, QC, Canada
Eric Lacourse
Affiliation:
Department of Sociology, Université de Montréal, QC, Canada
Réal Labelle*
Affiliation:
Department of Psychology, Université du Québec à Montréal, QC, Canada Center for Research and Intervention on Suicide, Ethical Issues and End-of-Life Practices, Université du Québec à Montréal, QC, Canada Department of Psychiatry, Université de Montréal, QC, Canada Research Center, Institut universitaire en santé mentale de Montréal, QC, Canada
Stéphane Paquin
Affiliation:
Department of Sociology, Université de Montréal, QC, Canada Research Center, Institut universitaire en santé mentale de Montréal, QC, Canada
Catherine M. Herba
Affiliation:
Department of Psychology, Université du Québec à Montréal, QC, Canada Department of Psychiatry, Université de Montréal, QC, Canada Research Center of the Centre Hospitalier Universitaire Sainte-Justine, Montréal, QC, Canada
*
Author for correspondence: Réal Labelle, Department of Psychology, Université du Québec à Montréal, 100 Sherbrooke St. West, Montreal, QC, H3C 3P8, Canada; E-mail: labelle.real@uqam.ca.

Abstract

This study used a person-centered approach to identify subgroups of adolescents who are at risk for depression and suicidal ideation. Latent class analysis was first applied to 1,290 adolescents from a Canadian cohort study in order to identify latent vulnerability subtypes based on 18 psychosocial vulnerability factors. Logistic regression analyses were conducted to study the associations between class membership and depressive symptoms and suicidal ideation 2 years later. The moderating role of sex in the associations between latent classes and depressive symptoms was explored. Five latent classes were identified: Low Vulnerability (42%), Substance Use Only (13%), Moderate Vulnerability (28%), Conduct Problems (8%) and High Vulnerability (9%). Compared with the Low Vulnerability class, the probabilities of presenting depressive symptoms were higher for the Substance Use Only class, OR = 1.93, 95% CI [1.21, 3.06], the Moderate Vulnerability class, OR = 2.96, 95% CI [2.09, 4.20], the Conduct Problems class, OR = 3.03, 95% CI [1.84, 4.98], and the High Vulnerability class, OR = 5.4, 95% CI [3.42, 8.53]. Furthermore, interaction effects with sex were identified in relation to depressive symptoms only. The probability of presenting suicidal ideation was higher only for the High Vulnerability class, OR = 4.51, 95% CI [2.41, 8.43]. This study highlights the importance of a person-centered perspective that considers both vulnerability subtypes and sex because these associations are complex rather than linear or additive.

Type
Regular Articles
Copyright
Copyright © Cambridge University Press 2020

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

*

Second authorship is shared by Eric Lacourse and Réal Labelle. Eric Lacourse, Réal Labelle, and Catherine M. Herba were all senior investigators for this study. The analyses presented in this paper were conducted at the Quebec Interuniversity Centre for Social Statistics (QICSS), which is part of the Canadian Research Data Centre Network (CRDCN).

References

Achenbach, T. M. (1991). Manual for the Youth Self-Report and 1991 Profile. Burlington: Department of Psychiatry, University of Vermont.Google Scholar
Akaike, H. (1987). Factor analysis and AIC. Psychometrika, 52, 317332. doi:10.1007/bf02294359CrossRefGoogle Scholar
Balázs, J., Miklósi, M., Keresztény, Á., Hoven, C. W., Carli, V., Wasserman, C., … Wasserman, D. (2013). Adolescent subthreshold-depression and anxiety: Psychopathology, functional impairment and increased suicide risk. Journal of Child Psychology and Psychiatry, 54, 670677. doi:10.1111/jcpp.12016CrossRefGoogle ScholarPubMed
Balluerka, N., Aritzeta, A., Gorostiaga, A., Gartzia, L., & Soroa, G. (2013). Emotional intelligence and depressed mood in adolescence: A multilevel approach. International Journal of Clinical and Health Psychology, 13, 110117. doi:10.1016/s1697-2600(13)70014-0CrossRefGoogle Scholar
Bar-On, R., & Parker, J. D. A. (2000). Emotional Quotient Inventory: Youth Version (EQ-i:YV): Technical Manual. Toronto, Canada: Multi-Health Systems.Google Scholar
Benoit, A., Lacourse, E., & Claes, M. (2013). Pubertal timing and depressive symptoms in late adolescence: The moderating role of individual, peer, and parental factors. Development and Psychopathology, 25, 455471. doi: 10.1017/s0954579412001174CrossRefGoogle ScholarPubMed
Bertha, E. A., & Balázs, J. (2013). Subthreshold depression in adolescence: A systematic review. European Child & Adolescent Psychiatry, 22, 589603. doi:10.1007/s00787-013-0411-0CrossRefGoogle ScholarPubMed
Blum, R., Sudhinaraset, M., & Emerson, M. R. (2012). Youth at risk: Suicidal thoughts and attempts in Vietnam, China, and Taiwan. Journal of Adolescent Health, 50, S37S44. doi:10.1016/j.jadohealth.2011.12.006CrossRefGoogle ScholarPubMed
Bozdogan, H. (1987). Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions. Psychometrika, 52, 345370. doi:10.1007/bf02294361CrossRefGoogle Scholar
Bray, B. C., Lanza, S. T., & Tan, X. (2014). Eliminating bias in classify-analyze approaches for latent class analysis. Structural Equation Modeling: A Multidisciplinary Journal, 22, 111. doi:10.1080/10705511.2014.935265CrossRefGoogle Scholar
Breton, J. J., Labelle, R., Berthiaume, C., Royer, C., St-Georges, M., Ricard, D., … Guilé, J.M. (2015). Protective factors against depression and suicidal behavior in adolescence. Canadian Journal of Psychiatry. Revue Canadienne de Psychiatrie, 60, S5S15.Google Scholar
Breton, J. J., Labelle, R., Huynh, C., Berthiaume, C., St-Georges, M., & Guilé, J. M. (2012). Clinical characteristics of depressed youths in child psychiatry. Journal of the Canadian Academy of Child and Adolescent Psychiatry, 21, 1622. Retrieved from https://www.cacap-acpea.org/Google ScholarPubMed
Bridge, J. A., Goldstein, T. R., & Brent, D. A. (2006). Adolescent suicide and suicidal behavior. Journal of Child Psychology and Psychiatry, 47, 372394. doi:10.1111/j.1469-7610.2006.01615.xCrossRefGoogle ScholarPubMed
Buehler, C., & Gerard, J. M. (2013). Cumulative family risk predicts increases in adjustment difficulties across early adolescence. Journal of Youth and Adolescence, 42, 905920. doi:10.1007/s10964-012-9806-3CrossRefGoogle ScholarPubMed
Cairns, K. E., Yap, M. B. H., Pilkington, P. D., & Jorm, A. F. (2014). Risk and protective factors for depression that adolescents can modify: A systematic review and meta-analysis of longitudinal studies. Journal of Affective Disorders, 169, 6175. doi:10.1016/j.jad.2014.08.006CrossRefGoogle ScholarPubMed
Cicchetti, D. (2016). Development and psychopathology, Vol. 1: Theory and method (3rd ed.). Hoboken, NJ: John Wiley & Sons.CrossRefGoogle Scholar
Cohen, J. R., Spiro, C. N., Young, J. F., Gibb, B. E., Hankin, B. L., & Abela, J. R. (2015). Interpersonal risk profiles for youth depression: A person-centered, multi-wave, longitudinal study. Journal of Abnormal Child Psychology, 43, 14151426. doi:10.1007/s10802-015-0023-xCrossRefGoogle ScholarPubMed
Consoli, A., Cohen, D., Bodeau, N., Guile, J. M., Mirkovic, B., Knafo, A., … Breton, J. J. (2015). Risk and protective factors for suicidality at 6-month follow-up in adolescent inpatients who attempted suicide: An exploratory model. Canadian Journal of Psychiatry. Revue Canadienne de Psychiatrie, 60, S27S36. Retrieved from http://www.thecjp.ca/Google Scholar
Copeland, W., Shanahan, L., Costello, E. J., & Angold, A. (2009). Configurations of common childhood psychosocial risk factors. Journal of Child Psychology and Psychiatry, 50, 451459. doi:10.1111/j.1469-7610.2008.02005.xCrossRefGoogle ScholarPubMed
Dupéré, V., Lacourse, E., Willms, J. D., Vitaro, F., & Tremblay, R. E. (2007). Affiliation to youth gangs during adolescence: The interaction between childhood psychopathic tendencies and neighborhood disadvantage. Journal of Abnormal Child Psychology, 35, 10351045. doi:10.1007/s10802-007-9153-0CrossRefGoogle ScholarPubMed
Essau, C. A., Lewinsohn, P. M., Seeley, J. R., & Sasagawa, S. (2010). Gender differences in the developmental course of depression. Journal of Affective Disorders, 127, 185190. doi:10.1016/j.jad.2010.05.016CrossRefGoogle ScholarPubMed
Franklin, J. C., Ribeiro, J. D., Fox, K. R., Bentley, K. H., Kleiman, E. M., Huang, X., … Nock, M. K. (2017). Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research. Psychological Bulletin, 143, 187232. doi:10.1037/bul0000084CrossRefGoogle ScholarPubMed
Hawton, K., Saunders, K. E. A., & O'Connor, R. C. (2012). Self-harm and suicide in adolescents. Lancet, 379, 23732382. Retrieved from http://www.thelancet.com/CrossRefGoogle ScholarPubMed
Human Resources Development Canada & Statistics Canada (1996). Growing up in Canada: National Longitudinal Survey of Children and Youth. Ottawa, ON: Statistics Canada.Google Scholar
Hyde, J. S., Mezulis, A. H., & Abramson, L. Y. (2008). The ABCs of depression: Integrating affective, biological, and cognitive models to explain the emergence of the gender difference in depression. Psychological Review, 115, 291313. doi:10.1037/0033-295x.115.2.291CrossRefGoogle ScholarPubMed
Jaccard, J. (2001). Quantitative applications in the social sciences: Interaction effects in logistic regression. Thousand Oaks, CA: Sage Publications. doi: 10.4135/9781412984515CrossRefGoogle Scholar
Jobe-Shields, L., Andrews, A. R., Parra, G. R., & Williams, N. A. (2015). Person-centered approaches to understanding early family risk. Journal of Family Theory & Review, 7, 432451. doi:10.1111/jftr.12118CrossRefGoogle Scholar
Joiner, T. E. Jr, Conwell, Y., Fitzpatrick, K. K., Witte, T. K., Schmidt, N. B., Berlim, M. T., … Rudd, M. D. (2005). Four studies on how past and current suicidality relate even when “everything but the kitchen sink” is covaried. Journal of Abnormal Psychology, 114, 291303. doi:10.1037/0021-843x.114.2.291CrossRefGoogle Scholar
Kaess, M., Parzer, P., Haffner, J., Steen, R., Roos, J., Klett, M., … Resch, F. (2011). Explaining gender differences in non-fatal suicidal behavior among adolescents: A population-based study. BMC Public Health, 11, Article 597. doi:10.1186/1471-2458-11-597CrossRefGoogle ScholarPubMed
Klomek, A.B., Kleinman, M., Altschuler, E., Marrocco, F., Amakawa, L., & Gould, M.S. (2011). High school bullying as a risk for later depression and suicidality. Suicide and Life-Threatening Behavior, 41, 501516. doi:10.1111/j.1943-278x.2011.00046.xCrossRefGoogle ScholarPubMed
Lacourse, E., Baillargeon, R., Dupéré, V., Vitaro, F., Romano, E., & Tremblay, R. (2010). Two-year predictive validity of conduct disorder subtypes in early adolescence: A latent class analysis of a Canadian longitudinal sample. Journal of Child Psychology and Psychiatry, 51, 13861394. doi:10.1111/j.1469-7610.2010.02291.xCrossRefGoogle ScholarPubMed
Lacourse, E., Nagin, D., Tremblay, R. E., Vitaro, F., & Claes, M. (2003). Developmental trajectories of boys’ delinquent group membership and facilitation of violent behaviors during adolescence. Development and Psychopathology, 15, 183197. doi:10.1017/s0954579403000105CrossRefGoogle ScholarPubMed
Lacourse, E., Nagin, D. S., Vitaro, F., Côté, S., Arseneault, L., & Tremblay, R. E. (2006). Prediction of early-onset deviant peer group affiliation: A 12-year longitudinal study. Archives of General Psychiatry, 63, 562568. doi:10.1001/archpsyc.63.5.562CrossRefGoogle ScholarPubMed
Lanza, S. T., Dziak, J. J., Huang, L., Wagner, A., & Collins, L. M. (2015). PROC LCA & PROC LTA Users’ Guide (Version 1.3.2). University Park: The Methodology Center, Penn State. Retrieved from http://methodology.psu.edu/Google Scholar
Lempers, J. D., Clark-Lempers, D., & Simons, R. L. (1989). Economic hardship, parenting, and distress in adolescence. Child Development, 60, 2539. doi:10.2307/1131068CrossRefGoogle ScholarPubMed
Mabikwa, O. V., Greenwood, D. C., Baxter, P. D., & Fleming, S. J. (2017). Assessing the reporting of categorised quantitative variables in observational epidemiological studies. BMC Health Services Research, 17, Article 201. doi:10.1186/s12913-017-2137-zGoogle ScholarPubMed
Marsh, H. W., & Gouvernet, P. J. (1989). Multidimensional self-concepts and perceptions of control: Construct validation of responses by children. Journal of Educational Psychology, 81, 5769. doi:10.1037/0022-0663.81.1.57CrossRefGoogle Scholar
Mash, E. J., & Dozois, D. J. A. (2003). Child psychopathology: A developmental-systems perspective. In Mash, E. J. & Barkley, R. A. (Eds.), Child psychopathology (pp. 371). New York, NY: Guilford Press.Google Scholar
McCutcheon, A. L. (1987). Latent class analysis. Newbury Park, CA: Sage Publications. doi:10.4135/9781412984713CrossRefGoogle Scholar
McLoughlin, A. B., Gould, M. S., & Malone, K. M. (2015). Global trends in teenage suicide: 2003–2014. Quarterly Journal of Medicine, 108, 765780. doi:10.1093/qjmed/hcv026CrossRefGoogle ScholarPubMed
Mojtabai, R., Olfson, M., & Han, B. (2016). National trends in the prevalence and treatment of depression in adolescents and young adults. Pediatrics, 138, Article e20161878. doi:10.1542/peds.2016-1878CrossRefGoogle ScholarPubMed
Muthén, B., & Muthén, L. K. (2000). Integrating person-centered and variable-centered analyses: Growth mixture modeling with latent trajectory classes. Alcoholism: Clinical and Experimental Research, 24, 882891. doi:10.1097/00000374-200006000-00020CrossRefGoogle ScholarPubMed
Nock, M. K., Green, J. G., Hwang, I., McLaughlin, K. A., Sampson, N. A., Zaslavsky, A. M., & Kessler, R. C. (2013). Prevalence, correlates, and treatment of lifetime suicidal behavior among adolescents: Results from the National Comorbidity Survey Replication Adolescent Supplement. JAMA Psychiatry, 70, 300310. doi:10.1001/2013.jamapsychiatry.55CrossRefGoogle ScholarPubMed
Nylund-Gibson, K., & Choi, A. Y. (2018). Ten frequently asked questions about latent class analysis. Translational Issues in Psychological Science, 4, 440–461. doi:10.1037/tps0000176CrossRefGoogle Scholar
Olino, T. M., Klein, D. N., & Seeley, J. R. (2019). Profiles of psychosocial and clinical functioning in adolescence and risk for later depression and other outcomes. Psychological Medicine, 29, 19. 10.1017/s0033291719002186.Google Scholar
Olweus, D. (1994). Bullying at school. In Huesmann, L. R. (Ed.), Aggressive behavior (pp. 97130). Boston, MA: Springer.CrossRefGoogle Scholar
Parra, G. R., DuBois, D. L., & Sher, K. G. (2006). Investigation of profiles of risk factors for adolescent psychopathology: A person-centered approach. Journal of Clinical Child and Adolescent Psychology, 35, 386402. doi:10.1207/s15374424jccp3503_4CrossRefGoogle ScholarPubMed
Patten, S. B., Williams, J. V., Lavorato, D. H., Wang, J. L., McDonald, K., & Bulloch, A. G. (2015). Descriptive epidemiology of major depressive disorder in Canada in 2012. The Canadian Journal of Psychiatry, 60, 2330. doi:10.1177/070674371506000106CrossRefGoogle ScholarPubMed
Paykel, E. S., Myers, J. K., Lindenthal, J. J., & Tanner, J. (1974). Suicidal feelings in the general population: A prevalence study. The British Journal of Psychiatry, 124, 460469. doi:10.1192/bjp.124.5.460CrossRefGoogle ScholarPubMed
Poulin, C., Hand, D., & Boudreau, B. (2004). Validity of a 12-item version of the CES-D used in the National Longitudinal Study of Children and Youth. Chronic Diseases in Canada, 26, 6572.Google Scholar
PROC LCA & PROC LTA (Version 1.3.2) [Software]. (2015). University Park, PA: The Methodology Center, Penn State. Retrieved from http://methodology.psu.edu/Google Scholar
Radloff, L. S. (1977). The CES-D Scale: A self-report depression scale of research in the general population. Applied Psychological Measurement, 1, 385401. doi:10.1177/014662167700100306CrossRefGoogle Scholar
Resurrección, D. M., Salguero, J. M., & Ruiz-Aranda, D. (2014). Emotional intelligence and psychological maladjustment in adolescence: A systematic review. Journal of Adolescence, 37, 461472. doi:10.1016/j.adolescence.2014.03.012CrossRefGoogle ScholarPubMed
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, 4153. doi:10.1177/2167702612457599CrossRefGoogle ScholarPubMed
Sakamoto, Y., Ishiguro, M., & Kitagawa, G. (1986). Akaike information criterion statistics. Dordrecht, The Netherlands: Springer.Google Scholar
Schwarz, G. (1978). Estimating the dimension of a model. The Annals of Statistics, 6, 461464. doi:10.1214/aos/1176344136CrossRefGoogle Scholar
Skinner, R., & McFaull, S. (2012). Suicide among children and adolescents in Canada: Trends and sex differences, 1980–2008. Canadian Medical Association Journal, 184, 10291034. doi:10.1503/cmaj.111867CrossRefGoogle ScholarPubMed
Sowislo, J. F., & Orth, U. (2013). Does low self-esteem predict depression and anxiety? A meta-analysis of longitudinal studies. Psychological Bulletin, 139, 213240. doi:10.1037/a0028931CrossRefGoogle ScholarPubMed
Statistics Canada (2010a). Microdata User Guide, National Longitudinal Survey of Children and Youth, Cycle 7. Retrieved from http://www23.statcan.gc.ca/imdb-bmdi/document/4450_D4_T9_V7-eng.pdfGoogle Scholar
Statistics Canada (2010b). Microdata User Guide, National Longitudinal Survey of Children and Youth, Cycle 8. Retrieved from http://www23.statcan.gc.ca/imdb-bmdi/document/4450_D4_T9_V8-eng.pdfGoogle Scholar
St Clair, M. C., Croudace, T., Dunn, V. J., Jones, P. B., Herbert, J., & Goodyer, I. M. (2015). Childhood adversity subtypes and depressive symptoms in early and late adolescence. Development and Psychopathology, 27, 885899. doi:10.1017/s0954579414000625CrossRefGoogle ScholarPubMed
Turner, E. L., Dobson, J. E., & Pocock, S. J. (2010). Categorisation of continuous risk factors in epidemiological publications: A survey of current practice. Epidemiologic Perspectives & Innovations, 7, Article 9. doi:10.1186/1742-5573-7-9CrossRefGoogle ScholarPubMed
Valdez, C. R., Lambert, S. F., & Ialongo, N. S. (2011). Identifying patterns of early risk for mental health and academic problems in adolescence: A longitudinal study of urban youth. Child Psychiatry & Human Development, 42, 521538. doi:10.1007/s10578-011-0230-9CrossRefGoogle ScholarPubMed
Wadman, R., Hiller, R. M., & St Clair, M. C. (2019). The influence of early familial adversity on adolescent risk behaviors and mental health: Stability and transition in family adversity profiles in a cohort sample. Development and Psychopathology, 118. doi:10.1017/s0954579419000191Google Scholar
Weaver, S. R., & Kim, S. Y. (2008). A person-centered approach to studying the linkages among parent–child differences in cultural orientation, supportive parenting, and adolescent depressive symptoms in Chinese American families. Journal of Youth and Adolescence, 37, 3649. doi:10.1007/s10964-007-9221-3CrossRefGoogle ScholarPubMed
Weeks, M., Ploubidis, G. B., Cairney, J., Wild, T. C., Naicker, K., & Colman, I. (2016). Developmental pathways linking childhood and adolescent internalizing, externalizing, academic competence, and adolescent depression. Journal of Adolescence, 51, 3040. doi:10.1016/j.adolescence.2016.05.009CrossRefGoogle ScholarPubMed
Wesselhoeft, R., Sørensen, M. J., Heiervang, E. R., & Bilenberg, N. (2013). Subthreshold depression in children and adolescents–a systematic review. Journal of Affective Disorders, 151, 722. doi:10.1016/j.jad.2013.06.010CrossRefGoogle ScholarPubMed
Yap, M. B. H., Pilkington, P. D., Ryan, S. M., & Jorm, A. F. (2014). Parental factors associated with depression and anxiety in young people: A systematic review and meta-analysis. Journal of Affective Disorders, 156, 823. doi:10.1016/j.jad.2013.11.007CrossRefGoogle ScholarPubMed
Zeiders, K. H., Roosa, M. W., Knight, G. P., & Gonzales, N. A. (2013). Mexican American adolescents’ profiles of risk and mental health: A person-centered longitudinal approach. Journal of Adolescence, 36, 603612. doi:10.1016/j.adolescence.2013.03.014CrossRefGoogle ScholarPubMed
Supplementary material: File

Tisseyre et al. supplementary material

Tables S1-S2

Download Tisseyre et al. supplementary material(File)
File 23.8 KB