Gene-Environment Interplay Linking Peer Victimization With Adolescents’ Trajectories of Depressive Symptoms
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Objective This study examined to what extent genetic and environmental factors explain-either additively or interactively with peer victimization-different trajectories of adolescents' depressive symptoms and whether genetic factors related to distinct trajectories are correlated with peer victimization. Method Participants included 902 twins (52% girls) who self-reported peer victimization and depressive symptoms in grades 6, 7, 8, 9, and 11. Results Growth mixture modeling revealed 3 trajectories of depressive symptoms: low (69.2% of participants), increasing (19.5%), and high-decreasing-increasing (11.3%). Biometric modeling showed that, for both sexes, genetic factors explained roughly half (52.6%, 47.5%) of the probability of following either a low or an increasing trajectory. Genetic influences (41%) were also observed for the high-decreasing-increasing trajectory, albeit only for girls. Nonshared environmental influences explained the remaining variances, along with shared environmental influences (27%) on the high-decreasing-increasing trajectory. Only for the low and the increasing trajectories, nonshared environmental influences increased with more frequent peer victimization (b low = 0.206, 95% CI [0.094, 0.325]; b increasing = 0.246, 95% CI [0.143, 0.356]). Moreover, peer victimization was associated with a lower probability of a low trajectory and a higher probability of an increasing or high-decreasing-increasing trajectory, and these associations were mostly explained by common underlying genetic factors. Conclusion Youth expressing (partly inherited) depressive symptoms may be at risk of peer victimization. However, increasing depressive symptoms in victims may be mitigated by other environmental factors except for those who enter adolescence with already high levels of depressive symptoms.
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Cites
Moore, S. E., Norman, R. E., Suetani, S., Thomas, H. J., Sly, P. D., & Scott, J. G. (2017) · World Journal of Psychiatry · doi:10.5498/wjp.v7.i1.60 · Cited by 1,320 · see citing works
Variance Components Models for Gene–Environment Interaction in Twin Analysis
Purcell, S. (2002) · Twin Research · doi:10.1375/136905202762342026 · Cited by 924 · see citing works
Friedman, N. P., Miyake, A., Robinson, J. L., & Hewitt, J. K. (2011) · Developmental Psychology · doi:10.1037/a0023750 · Cited by 357 · see citing works
Pubertal timing and the development of psychopathology in adolescence and beyond
Graber, J. A. (2013) · Hormones and Behavior · doi:10.1016/j.yhbeh.2013.04.003 · Cited by 350 · see citing works
Flagged first, then by citations
Research works printed but not linked: 37
- Costello EJ, Mustillo S, Erkanli A, Keeler G, Angold A. Prevalence and development of psychiatric disorders in childhood and adolescence. Arch Gen Psychiatry. 2003;60: 837-844. https://doi.org/10.1001/archpsyc.60.8.837 · DOI · Paper page
- Shore L, Toumbourou JW, Lewis AJ, Kremer P. Review: Longitudinal trajectories of child and adolescent depressive symptoms and their predictors-a systematic review and meta-analysis. Child Adolesc Ment Health. 2018;23:107-120. https://doi.org/10.1111/ camh.12220 · DOI
- Nagin DS. Group-based trajectory modeling: An overview. In: Piquero AR, Weisburd D, eds. Handbook of Quantitative Criminology. New York, NY: Springer; 2010:53-67.
- Rice F. The genetics of depression in childhood and adolescence. Curr Psychiatry Rep. 2009;11:167-173. https://doi.org/10.1007/s11920-009-0026-9 · DOI
- Reijntjes A, Kamphuis JH, Prinzie P, Telch MJ. Peer victimization and internalizing problems in children: A meta-analysis of longitudinal studies. Child Abuse Negl. 2010; 34:244-252. https://doi.org/10.1016/j.chiabu.2009.07.009 · DOI
- Kendler KS, Eaves LJ, Loken EK, et al. The impact of environmental experiences on symptoms of anxiety and depression across the life span. Psychol Sci. 2011;22:1343- 1352. https://doi.org/10.1177/0956797611417255 · DOI
- Kendler KS, Gardner CO, Lichtenstein P. A developmental twin study of symptoms of anxiety and depression: Evidence for genetic innovation and attenuation. Psychol Med. 2008;38:1567-1575. https://doi.org/10.1017/S003329170800384X · DOI
- Nivard MG, Dolan CV, Kendler KS, et al. Stability in symptoms of anxiety and depression as a function of genotype and environment: a longitudinal twin study from ages 3 to 63 years. Psychol Med. 2015;45:1039-1049. https://doi.org/10.1017/ S003329171400213X · DOI · Paper page
- Kwong ASF, L opez-L opez JA, Hammerton G, et al. Genetic and environmental risk factors associated with trajectories of depression symptoms from adolescence to young adulthood. JAMA Netw Open. 2019;2:e196587. https://doi.org/10.1001/jama- networkopen.2019.6587 · DOI · Paper page
- Brendgen M, Ouellet-Morin I, Boivin M. Peer relations and psychosocial development: Perspectives from genetic approaches. In: Bukowski WM, Laursen B, Rubin KH, eds. Handbook of Peer Interactions, Relationships, and Groups. 2nd ed. New York, NY: Guilford Press; 2018:123-140.
- Connolly EJ, Beaver KM. Considering the genetic and environmental overlap between bullying victimization, delinquency, and symptoms of depression/anxiety. J Interpers Violence. 2016;31:1230-1256. https://doi.org/10.1177/0886260514564158 · DOI
- Kretschmer T, Tropf FC, Niezink NMD. Causality and pleiotropy in the association between bullying victimization in adolescence and depressive episodes in adulthood. Twin Res Hum Genet. 2018;21:33-41. https://doi.org/10.1017/thg.2017.71 · DOI
- Hammen C. Stress generation in depression: Reflections on origins, research, and future directions. J Clin Psychol. 2006;62:1065-1082. https://doi.org/10.1002/jclp.20293 · DOI · Paper page
- Bekkhus M, Staton S, Borge AIH, Thorpe K. Do twins differ from single-born children on rates of behavioral difficulty in early childhood? A study of sibling relationship risk factors. Twin Res Hum Genet. 2014;17:288-295. https://doi.org/10.1017/thg.2014.39 · DOI
- Boivin M, Brendgen M, Vitaro F, et al. Strong genetic contribution to peer relationship difficulties at school entry: Findings from a longitudinal twin study. Child Dev. 2013;84: 1098-1114. https://doi.org/10.1111/cdev.12019 · DOI
- Crick NR, Bigbee MA. Relational and overt forms of peer victimization: A multi- informant approach. J Consult Clin Psychol. 1998;66:337-347.
- Brendgen M, Girard A, Vitaro F, Dionne G, Boivin M. Personal and familial predictors of peer victimization trajectories from primary to secondary school. Dev Psychol. 2016; 52:1103-1114. https://doi.org/10.1037/dev0000107 · DOI
- Ouellet-Morin I, Cantave C, Paquin S, et al. Associations between developmental tra- jectories of peer victimization, hair cortisol, and depressive symptoms: A longitudinal study. J Child Psychol Psychiatry. 2021;62:19-27. https://doi.org/10.1111/jcpp.13228 · DOI
- Telzer EH, Miernicki ME, Rudolph KD. Chronic peer victimization heightens neural sensitivity to risk taking. Dev Psychopathol. 2018;30:13-26. https://doi.org/10.1017/ S0954579417000438 · DOI
- Rivera CL, Bernal G, Rossell o J. The Children Depression Inventory (CDI) and the Beck Depression Inventory (BDI): Their validity as screening measures for major depression in a group of Puerto Rican adolescents. Int J Clin Health Psychol. 2005;5:485-498. Accessed May 15, 2022. https://www.redalyc.org/articulo.oa?id¼33705305
- Asparouhov T, Muth en B. Auxiliary variables in mixture modeling: Three-step ap- proaches using Mplus. Structural Equation Modeling. 2014;21:329-341. https://doi.org/ 10.1080/10705511.2014.915181 · DOI
- Zheng Y, Brendgen M, Dionne G, Boivin M, Vitaro F. Genetic and environmental influences on developmental trajectories of adolescent alcohol use. Eur Child Adolesc Psychiatry. 2019;28:1203-1212. https://doi.org/10.1007/s00787-019-01284-x · DOI
- Zheng Y, Cleveland HH. Differential genetic and environmental influences on devel- opmental trajectories of antisocial behavior from adolescence to young adulthood. J Adolesc. 2015;45:204-213. https://doi.org/10.1007/s00787-019-01284-x · DOI
- Neale MC. OpenMx 2.0: Extended structural equation and statistical modeling. Psy- chometrika. 2016;81:535. https://doi.org/10.1007/s11336-014-9435-8 · DOI
- Fernandez Castelao C, Kr€ oner-Herwig B. Different trajectories of depressive symptoms in children and adolescents: Predictors and differences in girls and boys. J Youth Adolesc. 2013;42:1169-1182. https://doi.org/10.1007/s10964-012-9858-4 · DOI
- Scourfield J, Rice F, Thapar A, Harold GT, Martin N, McGuffin P. Depressive symptoms in children and adolescents: Changing aetiological influences with development. J Child Psychol Psychiatry. 2003;44:968-976. https://doi.org/10.1111/1469-7610.00181 · DOI
- Boomsma DI, Van Beijsterveldt C, Bartels M, Hudziak JJ. Genetic and environmental influences on anxious/depression: a longitudinal study in 3 to 12 year old children. In: Hudziak JJ, ed. Developmental Psychopathology and Wellness: Genetic and Environ- mental Influences. Arlington, VA: American Psychiatric Association; 2009:161-190.
- Shih JH, Eberhart NK, Hammen CL, Brennan PA. Differential exposure and reactivity to interpersonal stress predict sex differences in adolescent depression. J Clin Child Adolesc Psychol. 2006;35:103-115. https://doi.org/10.1207/s15374424jccp3501_9 · DOI
- Sund AM, Larsson B, Wichstrom L. Psychosocial correlates of depressive symptoms among 12-14-year-old norwegian adolescents. J Child Psychol Psychiatry. 2003;44: 588-597. https://doi.org/10.1111/1469-7610.00147 · DOI
- Zhu J, Kusa TO, Chan YM. Genetics of pubertal timing. Curr Opin Pediatr. 2018;30: 532-540. https://doi.org/10.1097/MOP.0000000000000642 · DOI
- Galvao TF, Silva MT, Zimmermann IR, Souza KM, Martins SS, Pereira MG. Pubertal timing in girls and depression: A systematic review. J Affect Disord. 2014;155:13-19. https://doi.org/10.1016/j.jad.2013.10.034 · DOI
- Mendle J, Harden KP, Brooks-Gunn J, Graber JA. Development's tortoise and hare: Pubertal timing, pubertal tempo, and depressive symptoms in boys and girls. Dev Psy- chol. 2010;46:1341-1353. https://doi.org/10.1037/a0020205 · DOI
- Negriff S, Susman EJ. Pubertal timing, depression, and externalizing problems: A framework, review, and examination of gender differences. J Res Adolesc. 2011;21: 717-746. https://doi.org/10.1111/j.1532-7795.2010.00708.x · DOI · Paper page
- Pryor L, Brendgen M, Boivin M, et al. Overweight during childhood and internalizing symptoms in early adolescence: The mediating role of peer victimization and the desire to be thinner. J Affect Disord. 2016;202:203-209. https://doi.org/10.1016/j.jad.2016. 05.022 · DOI
- Guimond FA, Brendgen M, Vitaro F, Dionne G, Boivin M. Peer victimization and anxiety in genetically vulnerable youth: The protective roles of teachers' self-efficacy and anti-bullying classroom rules. J Abnorm Child Psychol. 2015;43:1095-1106. https://doi. org/10.1007/s10802-015-0001-3 · DOI
- Cole DA, Maxwell MA, Dukewich TL, Yosick R. Targeted peer victimization and the construction of positive and negative self-cognitions: Connections to depressive symp- toms in children. J Clin Child Adolesc Psychol. 2010;39:421-435. https://doi.org/10. 1080/15374411003691776 · DOI
- Fuentes Cabrera A, Moreno Guerrero AJ, Pozo S anchez JS, Rodr ıguez-Garc ıa AM. Bullying among teens: Are ethnicity and race risk factors for victimization? A bibliometric research. Educ Sci. 2019;9(3). https://doi.org/10.3390/educsci9030220 · DOI
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Morneau‐Vaillancourt, G., Oginni, O., Assary, E., Krebs, G., Thompson, E. J., Palaiologou, E., Lockhart, C., Arseneault, L., & Eley, T. C. (2023) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13847 · Cited by 26 · see citing works
“…suggests a genetic overlap between emotional symptoms and negative peer experiences, meaning that a genetic disposition for emotional symptoms enhances the risk of being exposed to negative social experiences via gene – environment correlations (Brendgen, Zheng, Vitaro, Dionne, & Boivin, 2022).”
BackgroundResult
- Authors
- Brendgen, M., Zheng, Y., Vitaro, F., Dionne, G., & Boivin, M.
- Affiliations
- Université du Québec à Montréal (CA)
- University of Alberta (CA)
- CHU Sainte-Justine Research Center (CA)
- Université Laval (CA)
- Corresponding author
- Brendgen, Mara
- Venue
- Journal of the American Academy of Child & Adolescent Psychiatry
- Publisher
- Elsevier BV
- Published
- 2023-02
- Volume
- 62
- Issue
- 2
- Pages
- 261-271
- ISSN
- 0890-8567 (ISSN-L)
- OpenAlex
- W4296123400
- Cited by
- 4
- References
- 4
- Citations by year
- 2025: 2 · 2023: 2
- FWCI
- 0.95
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of the American Academy of Child & Adolescent Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Social Sciences and Humanities Research Council of Canada (435-2014-1536)
- Canada Research Chairs
- Canadian Institutes of Health Research
- Topics
- Social Sciences › Psychology › Social Psychology › Bullying, Victimization, and Aggression
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Social Sciences › Psychology › Clinical Psychology › Child Abuse and Trauma
- Keywords
- peer victimization, depressive symptoms, adolescents, gene-environment interaction, genetic factors, nonshared environment, shared environment, developmental trajectories, twin studies, sex differences
- MeSH terms
- Adolescent, Depression, Female, Humans, Longitudinal Studies, Male, Peer Group, Twins, Crime Victims, Self Report, Bullying
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