Top

Optie A:

Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
Optie B:

Deel de link per e-mail
Link delen

vorige artikel Early Life Socioeconomic Disparities in Childre...

volgende artikel Oxytocin Receptor Gene (OXTR) and Deviant Peer ...

Tip

Swipe om te navigeren naar een ander artikel

22-09-2018 | Empirical Research | Uitgave 1/2019

Developmental Change in Adolescent Delinquency: Modeling Time-Varying Effects of a Preventative Intervention and GABRA2 Halpotype Linked to Alcohol Use

Tijdschrift:: Journal of Youth and Adolescence > Uitgave 1/2019

Auteurs:: Gabriel L. Schlomer, H. Harrington Cleveland, Arielle R. Deutsch, David J. Vandenbergh, Mark E. Feinberg, Mark T. Greenberg, Richard L. Spoth, Cleve Redmond

» Toegang tot de volledige tekst krijgen

Abstract

Better integrating human developmental factors in genomic research is part of a set of next steps for testing gene-by-environment interaction hypotheses. This study adds to this work by extending prior research using time-varying effect modeling (TVEM) to evaluate the longitudinal associations between the PROSPER preventive intervention delivery system, a GABRA2 haplotype linked to alcohol use, and their interaction on adolescent delinquency. Logistic and Poisson analyses on eight waves of data spanning ages 11 to 19 (60% female, 90% Caucasian) showed the intervention reduced delinquency from ages 13 to 16. Moreover, interaction analysis revealed that the effect of the multicomponent intervention was significantly greater for T-allele carriers of the GABRA2 SNP rs279845, but only during the 13 to 16 age period. The results are discussed in terms of adolescent delinquency normativeness, implications for preventive intervention research, and the utility of incorporating development in GxE research.

Log in om toegang te krijgen

Hier inloggen

Met onderstaand(e) abonnement(en) heeft u direct toegang:

BSL Psychologie Totaal

Met BSL Psychologie Totaal blijf je als professional steeds op de hoogte van de nieuwste ontwikkelingen binnen jouw vak. Met het online abonnement heb je toegang tot een groot aantal boeken, protocollen, vaktijdschriften en e-learnings op het gebied van psychologie en psychiatrie. Zo kun je op je gemak en wanneer het jou het beste uitkomt verdiepen in jouw vakgebied.

Meer informatie

Albert, D., Belsky, D., Crowley, D. M., Latendresse, S. J., Aliev, F., Riley, B., Dick, D. M., & Dodge, K. (2015). Can genetics predict response to complex behavioral interventions? Evidence from a genetic analysis of the Fast Track randomized control trial. Journal of Policy Analysis and Management, 34, 497–518. CrossRefPubMedPubMedCentral

Bakermans-Kranenburg, M. J., & van IJzendoorn, M. H. (2015). The hidden efficacy of interventions: Gene x environment experiments from a differential susceptibility perspective. Annual Review of Psychology, 66, 11.1–11.29. https://doi.org/10.1146/annurev-psych-010814-015407. CrossRef

Belsky, J., Bakermans-Kranenburg, M. J., & van IJzendoorn, M. H. (2007). For better and for worse. Differential susceptibility to environmental influences. Current Directions in Psychological Science, 16, 300–304. CrossRef

Belsky, J., & Pluess, M. (2009). Beyond diathesis stress: differential susceptibility to environmental influences. Psychological Bulletin, 135, 885–908. https://doi.org/10.1037/a0017376. CrossRefPubMedPubMedCentral

Belsky, J., & van IJzendoorn, M. H. (2015). What works for whom? Genetic moderation of intervention efficacy. Development and Psychopathology, 27, 1–6. https://doi.org/10.1017/S0954579414001254. CrossRefPubMed

Bjorklund, D. F., Ellis, B. J., & Rosenberg, J. S. (2007). Evolved probabilistic cognitive mechanisms: An evolutionary approach to gene × environment × development interactions. In R. V. Kail (Ed.), Advances in child development and behavior: Vol. 35. Advances in child development and behavior (pp. 1-36). San Diego, CA, US: Elsevier Academic Press.

Bongers, I. L., Koot, H. M., van der Ende, J., & Verhulst, F. C. (2004). Developmental trajectories of externalizing behaviors in childhood and adolescence. Child Development, 75, 1523–1537. CrossRefPubMed

Botvin, G. J., & Griffin, K. W. (2014). Life skills training: preventing substance misuse by enhancing individual and social competence. New Directions for Youth Development, 141, 57–65. https://doi.org/10.1002/yd.20086. CrossRef

Botvin, G. J., & Kantor, L. W. (2000). Preventing alcohol and tobacco use through life skills training: theory, methods, and emperical findings. Alcohol Research & Health, 24, 250–257.

Botvin, G. J., Griffin, K. W., & Nichols, T. D. (2006). Preventing youth violence and delinquency through a universal school-based prevention approach. Prevention Science, 7, 403–408. https://doi.org/10.1007/s11121-006-0057-y. CrossRefPubMed

Boyce, W. T., & Ellis, B. J. (2005). Bioliogical sensitivity to context I: an evolutionary-developmental theory of the origins and functions of stress reactivity. Development and Psychopathology, 17, 271–301. https://doi.org/10.1017/s0945479405050145. CrossRefPubMed

Brody, G. H., Chen, Y., & Beach, S. R. H. (2013). Differential susceptibility to prevention: GABAergic, dopaminergic, and multilocus effects. The Journal of Child Psychology and Psychiatry, 54, 863–871. https://doi.org/10.1111/jcpp.12042. CrossRefPubMed

Brody, G. H., Beach, S. R. H., Hill, K. G., Howe, G. W., Prado, G., & Fullerton, S. M. (2013). Using genetically informed, randomized prevention trials to test etiological hypotheses about child and adolescent drug use and psychopathology. American Journal of Public Health, 103(Suppl), S19–S24. https://doi.org/10.2105/AJPH.2012.301080. CrossRefPubMedPubMedCentral

Brody, G. H., Beach, S. R. H., Philibert, R. A., Chen, Y., & Murry, V. M. (2009). Prevention effects moderate the association of 5-HTTLPR and youth risk behavior initiation: Gene x environment hypotheses tested via a randomized prevention design. Child Development, 80, 645–661. https://doi.org/10.1111/j.1467-8624.2009.01288.x. CrossRefPubMed

Burt, S. A. (2012). How do we optimally conceptualize the heterogeniety within antisocial behavior? An argument for aggressive versus non-aggressive behavioral dimensions. Clinical Psychology Review, 32, 263–279. https://doi.org/10.1016/j.cpr.2012.02.006. CrossRefPubMed

Burt, S. A., & Neiderhiser, J. M. (2009). Aggressive versus nonaggressive antisocial behavior: distinctive etiolgical moderation by age. Developmental Psychology, 45, 1164–1176. https://doi.org/10.1037/a0016130. CrossRefPubMedPubMedCentral

Cleveland, H. H., Schlomer, G. L., Vandenbergh, D. J., Wolf, P. S. A., Feinberg, M. E., Greenberg, M. T., Spoth, R. L., & Redmond, C. (2018). Associations between alcohol dehydrogenase genes and alcohol use across early- and mid-adolescence: moderation by preventative intervention. Development and Psychopathology, 30, 297–313. https://doi.org/10.1017/S0954579417000633. CrossRefPubMed

Cleveland, H. H., Schlomer, G. L., Vandenbergh, D. J., & Wiebe, R. P. (2016). Gene x intervention designs: a promising step toward understanding etiology and building better preventative interventions. Journal of Criminology and Public Policy, 15, 711–720. CrossRef

Culverhouse, R. C., Saccone, N. L., Horton, A. C., Ma, Y., Anstey, K. J., Banaschewski, T., & Bierut, L. J. (2018). Collaborative meta-analysis finds no evidence of a strong interaction between stress and 5-HTTLPR genotype contributing to the development of depression. Molecular Psychiatry, 23, 133–142. https://doi.org/10.1038/mp.2017.44. CrossRefPubMed

Dahl, R. E., & Conway, A. M. (2009). Self-regulation and the developoment of behavioral and emotional problems: toward an integrative conceptual and translational research agenda. In S. L. Olsen & A. J. Sameroff (Eds.), Biopsychosocial regulatory processes in the development of childhood behavior problems. New York, NY: Cambridge University Press.

de Vlaming, R., Okbay, A., Reitveld, C. A., Johannesson, M., Magnusson, P. K. E., Uitterlinden, A. G., & Koellinger, P. D. (2017). Meta-GWAS accuracy and power (MetaGAP) calculator shows that hiding heritibility is paritally due to imperfect genetic correlations across studies. PLoS Genetics, 13, 1–23. https://doi.org/10.1371/journal.pgen.1006495. CrossRef

Dick, D. M. (2013). Developmental considerations in gene identificiation efforts. In J. MacKillop & M. R. Munafò (Eds.), Genetic influences on addiction: an intermediate phenotype approach. Cambridge: The MIT Press.

Dick, D. M., Agrawal, A., Keller, M. C., Adkins, A., Aliev, F., Monroe, S., Hewitt, J. K., Kendler, K. S., & Sher, K. J. (2015). Candidate gene-environment interaction research: reflections and recommendations. Perspectives on Psychological Science, 10, 37–59. https://doi.org/10.1177/1745691614556682. CrossRefPubMedPubMedCentral

Dick, D. M., Bierut, L., Hinrichs, A., Fox, L., Bucholz, K. K., Kramer, J., & Foroud, T. (2006). The role of GABRA2 in risk for conduct disorder and alcohol and drug dependence across developmental stages. Behavior Genetics, 36, 577–590. CrossRefPubMed

Dick, D. M. & EDGE Laboratory (2017). Post-GWAS in psychiatric genetics: a developmental perspective on the “other” next steps. Genes, Brain, & Behavior. https://doi.org/10.1111/gbb.12447.

Dick, D. M., Latendresse, S. J., Lansford, J. E., Budde, J. P., Goate, A., Dodge, K. A., & Bates, J. E. (2009). Role of GABRA2 in trajectories of externalizing behavior across development and evidence of moderation by parental monitoring. Archives of General Psychiatry, 66, 649–658. CrossRefPubMedPubMedCentral

Edenberg, H. J., Dick, D. M., Xuei, X., Tian, H., Almasy, L., Bauer, L. O., & Kwon, J. (2004). Variations in GABRA2, encoding the α2 subunit of the GABA _A receptor, are associated with alcohol dependence and with brain oscillations. The American Journal of Human Genetics, 74, 705–714. CrossRefPubMed

Ellickson, P. L., McCaffrey, D. F., Ghosh-Dastidar, B., & Longshore, D. L. (2003). New inroads in preventing adolescent drug use: results from a large-scale trial of project ALERT in middle schools. American Journal of Public Health, 93(11), 1830–1836. CrossRefPubMedPubMedCentral

Ellis, B. J., Boyce, W. T., Belsky, J., Bakermans-Kranenburg, M. J., & van IJzendoorn, M. H. (2011). Differential susceptibility to the environment: an evolutionary-neurodevelopmental theory. Development and Psychopathology, 23, 7–28. https://doi.org/10.107/s09545794100000611. CrossRefPubMed

Forsyth, C. J., Dick, S. J., Chen, J., Biggar, R. W., Forsyth, Y. A., & Burstein, K. (2018). Social psychological risk factors, delinquency and age of onset. Criminal Justice Studies, 31, 178–191. https://doi.org/10.1080/1478601X.2018.1435618. CrossRef

Glenn, A. L., Lochman, J. E., Dishion, T., Powell, N. P., Boxmeyer, C., & Qu, L. (2018). Oxytocin receptor gene variant interacts with intervention delivery format in predicting intervention outcomes for youth with conduct problems. Prevention Science, 19, 38–48. https://doi.org/10.1007/s11121-017-0777-1.

Halder, I., Shriver, M., Thomas, M., Fernandez, J. R., & Frudakis, T. (2008). A panel of ancestry informative markers for estimating individual biogeographical ancestry and admixture from four contents: utility and applications. Human Mutation, 29, 648–658. CrossRefPubMed

Hale, D. R., Fitzgerald-Yau, N., & Viner, R. (2014). A systematic review of effetive interventions for reducing multiple health risk behaviors in adolescence. American Journal of Public Health, 104, e19–e41. https://doi.org/10.2105/AJPH.2014.301874. CrossRefPubMedPubMedCentral

Janssens, A., van den Noortgate, Goossens, L., Colpin, H., Verschueren, K., Claes, S., & van Leeuwen, K. (2017). Externalizing problem behavior in adolescence: parenting interacting with DAT1 and DRD4 genes. Journal of Research on Adolescence, 27, 278–297. https://doi.org/10.1111/jora.12271. CrossRefPubMed

Latendresse, S. J., Henry, D. B., Aggen, S. H., Byck, G. R., Ashbeck, A. W., Bolland, J. M., & Dick, D. M. (2017). Dimensionality and genetic correlates of problem behavior in low-income African American adolescents. Journal of Clinical Child & Adolescent Psychology, 46, 824–839. https://doi.org/10.1080/15374416.2015.1070353. CrossRef

Lind, P. A., MacGregor, S., Agrawal, A., Montgomery, G. W., Heath, A. C., Martin, N. G., & Whitfield, J. B. (2008). The role of GABRA2 in alcohol dependence, smoking, and illicit drug use in an Australian population sample. Alcoholism: Clinical and Experimental Research, 32, 1721–1731. CrossRef

McNeal, R. B., Hansen, W. B., Harrington, N. G., & Giles, S. M. (2004). How All Stars works: an examination of program effects on mediating variables. Health Education & Behavior, 31, 165–178. https://doi.org/10.1177/1090198103259852. CrossRef

Moffitt, T. E. (1993). Adolescence-limited and life-course-persistent antisocial behavior: a developmental taxonomy. Psychological Review, 100, 674–701. CrossRefPubMed

Moffitt, T. E., Caspi, A., Harrington, H., & Milne, B. J. (2002). Males on the life-course-persistent and adolescence-limited antisocial pathways: follow-up at age 26 years. Development and Psychopathology, 14, 179–207. CrossRefPubMed

Musci, R. & Schlomer, G. L. (2018). Incorporating genetics in prevention science: considering methodology and implications. Prevention Science, 19, 1–5. https://doi.org/10.1007/s11121-017-0836-6.

Open Science Collaboration. (2015). Estimating the reproducibility of psychological science. Science, 349, aac4716 https://doi.org/10.1126/science.aac4716. CrossRef

Purcell, S. M. & Chang, C. C. (2015). PLINK 1.9. https://www.cog-genomics.org/plink2.

Rodriguez, S., Gaunt, T. R., & Day, I. N. M. (2009). Hardy-Weinberg equilibrium testing of biological ascertainment for Mendelian randomization studies. American Journal of Epidemiolgy, 169, 505–514. https://doi.org/10.1093/aje/kwn359. CrossRef

Rose, R. J., & Dick, D. M. (2010). Commentary on Agrawal et al. (2010): social environments modulate alcohol use. Addiction, 105, 1854–1855. CrossRefPubMed

Russell, M. A., Schlomer, G. L., Cleveland, H. H., Feinberg, M., Greenberg, M., Spoth, R., & Vandenbergh, D. J. (2018). PROSPER intervention effects on adolescents’ alcohol misuse vary by GABRA2 genotype and age. Prevention Science, 19, 27–37. CrossRefPubMedPubMedCentral

SAS Institute Inc. 2011. SAS® 9.3 Statements: Reference. Cary, NC: SAS Institute Inc.

Schlomer, G. L., Cleveland, H. H., Vandenbergh, D. J., Feinberg, M. E., Neiderhiser, J. M., Greenberg, M. T., & Redmond, C. (2015). Developmental differences in early adolescent aggression: a gene × environment × intervention analysis. Journal of Youth and Adolescence, 44, 581–597. https://doi.org/10.1007/s10964-014-0198-4. CrossRefPubMed

Schlomer, G. L., Cleveland, H. H., Feinberg, M. E., Wolf, P. S. A., Greenberg, M. T., Spoth, R. L., Redmond, C., Tricou, E. P., & Vandenbergh, D. J. (2017). Extending previous cGxI findings on 5-HTTLPR’s moderation of intervention effects on adolescent substance misuse initiation. Child Development, 88, 2001–2012. https://doi.org/10.1111/cdev.12666. CrossRefPubMed

Sieghart, W. (2006). Structure, pharmacology, and function of GABA _A receptor subtypes. Advances in Pharmacology, 54, 251–263.

Simons, R. L., Chao, W., Conger, R. D., & Elder, G. H. (2001). Quality of parenting as mediator of the effect of childhood defiance on adolescent friendship choices and delinquency. A growth curve analysis. Journal of Marriage and Family, 63, 63–79. CrossRef

Simons, R. L., Simons, L. G., Lei, M., Beach, S. R. H., Brody, G. H., Gibbons, F. X., & Philibert, R. A. (2013). Genetic moderation of the impact of parenting on hostility toward romantic partners. Journal of Marriage and Family, 75, 325–341. https://doi.org/10.1111/jomf.12010. CrossRefPubMed

Spoth, R., Greenberg, M., Bierman, K., & Redmond, C. (2004). PROSPER community-university partnership model for public education systems: capacity-building for evidence-based, competence-building prevention. Prevention Science, 5, 31–39. CrossRefPubMed

Spoth, R., Redmond, C., Clair, S., Shin, C., Greenberg, M., & Feinberg, M. (2011). Preventing substance misuse through community–university partnerships: randomized controlled trial outcomes 4½ years past baseline. American Journal of Preventive Medicine, 40, 440–447. CrossRefPubMedPubMedCentral

Spoth, R., Redmond, C., Shin, C., Greenberg, M., Clair, S., & Feinberg, M. (2007). Substance-use outcomes at 18 months past baseline: the PROSPER community-university partnership trial. American Journal of Preventive Medicine, 32, 395–402. https://doi.org/10.1016/j.amepre.2007.01.014. CrossRefPubMedPubMedCentral

Spoth, R., Redmond, C., Shin, C., Greenberg, M., Feinberg, M., & Schainker, L. (2013). PROSPER community–university partnership delivery system effects on substance misuse through 6 1/2years past baseline from a cluster randomized controlled intervention trial. Preventive Medicine, 56, 190–196. https://doi.org/10.1016/j.ypmed.2012.12.013. CrossRefPubMed

Spoth, R., Redmond, C., Shin, C., Greenberg, M. T., Feinberg, M. E., & Trudeau, L. (2017). PROSPER delivery of universal preventtive interventions with young adolescence: long-term effects on emerging adult substance misuse and assocaited risk behviors. Psychological Medicine. https://doi.org/10.1017/S0033291717000691. CrossRefPubMedPubMedCentral

Spoth, R. L., Trudeau, L. S., Redmond, C., Shin, C., Greenberg, M. T., Feinberg, M. E., & Hyun, G. (2015). PROSPER partnership delivery system: effects on adolescent conduct problem behavior outcomes through 6.5 years past baseline. Journal of Adolescence, 45, 44–55. CrossRefPubMedPubMedCentral

Steinberg, L., & Monahan, K. C. (2007). Age differences in resistence to peer influence. Developmental Psychology, 43, 1531–1543. https://doi.org/10.1037/0012-1649.43.6.1531. CrossRefPubMedPubMedCentral

Tan, X., Shiyko, M. P., Li, R., Li, Y., & Dierker, L. (2012). A time-varying effect model for intensive longitudinal data. Psychological Methods, 17, 61–77. CrossRefPubMed

Tropf, F. C., Lee, S. H., Verweij, R. M., Stulp, G., van der Most, P. J., de Vlaming, R., & Mills, M. C. (2017). Hidden heritability due to heterogeneity across seven populations. Nature Human Behavior, 1, 757–765. https://doi.org/10.1038/s41562-017-0195-1. CrossRef

Trucco, E. M., Cope, L. M., Burmeister, M., Zucker, R. A., & Heitzeg, M. M. (2018). Pathways to youth behavior: the role of genetic, neural, & behavioral markers. Journal of Research on Adolescence, 28, 26–39. https://doi.org/10.1111/jora.12341. CrossRefPubMedPubMedCentral

Trucco, E. M., Schlomer, G. L., & Hicks, B. M. (2018). A developmental perspective on the genetic basis of alcohol use disorder. In H. E. Fitzgerald & L. I. Puttler (Eds.), Alcohol Use Disorders: A Developmental Science Approach to Etiology. New York, NY: Oxford University Press.

Trucco, E. M., Villafuerete, S., Heitzeg, M. M., Burmeister, M., & Zucker, R. A. (2016). Susceptibility effects of GABA receptor subunit alpha-2 ( GABRA2) variants and parental monitoring on externalizing behavior trajectories: risk and protection conveyed by the minor allele. Development and Psychopathology, 28, 15–26. https://doi.org/10.1017/S0954579415000255. CrossRefPubMed

Trucco, E. M., Villafuerete, S., Heitzeg, M. M., Burmeister, M., & Zucker, R. A. (2017). Beyond risk: prospective effects of GABA receptor subunit alpha-2 (GABRA2) x positive peer involvement on adolescent behavior. Development and Psychopathology, 29, 711–724. CrossRefPubMed

Trucco, E. M., Villafuerete, S., Heitzeg, M. M., Burmeister, M., & Zucker, R. A. (2014). Rule breaking mediates the developmental association between GABRA2 and adolescent substance use. Journal of Child Psychology and Psychiatry, 55, 1372–1379. CrossRefPubMed

Widaman, K. F., Helm, J. L., Castro-Schilo, L., Pluess, M., & Belsky, J. (2012). Distinguishing ordinal and disordinal interactions. Psychological Methods, 17, 615–622. https://doi.org/10.1037/a0030003. CrossRefPubMedPubMedCentral

Titel: Developmental Change in Adolescent Delinquency: Modeling Time-Varying Effects of a Preventative Intervention and GABRA2 Halpotype Linked to Alcohol Use
Auteurs:: Gabriel L. Schlomer
H. Harrington Cleveland
Arielle R. Deutsch
David J. Vandenbergh
Mark E. Feinberg
Mark T. Greenberg
Richard L. Spoth
Cleve Redmond
Publicatiedatum: 22-09-2018
DOI: https://doi.org/10.1007/s10964-018-0929-z
Uitgeverij: Springer US
Tijdschrift: Journal of Youth and Adolescence A Multidisciplinary Research Publication
Uitgave 1/2019
Print ISSN: 0047-2891
Elektronisch ISSN: 1573-6601

Bohn Stafleu van Loghum

Deel dit onderdeel of sectie (kopieer de link)

Tip

Swipe om te navigeren naar een ander artikel

Abstract

Log in om toegang te krijgen

Met onderstaand(e) abonnement(en) heeft u direct toegang:

BSL Psychologie Totaal

Andere artikelen Uitgave 1/2019

Youth Adversities Amplify the Association between Adult Stressors and Chronic Inflammation in a Domain Specific Manner: Nuancing the Early Life Sensitivity Model

The Consequences of Adolescent Delinquent Behavior for Adult Employment Outcomes

Risky Interactions: Relational and Developmental Moderators of Substance Use and Dating Aggression

Young Adult Unemployment and Later Depression and Anxiety: Does Childhood Neighborhood Matter?

Parent-Child Conflict during Elementary School as a Longitudinal Predictor of Sense of Purpose in Emerging Adulthood

Ethnic Identity in Diverse Schools: Preadolescents’ Private Regard and Introjection in relation to Classroom Norms and Composition