Hostname: page-component-78c5997874-dh8gc Total loading time: 0 Render date: 2024-11-13T01:25:58.889Z Has data issue: false hasContentIssue false
  • English
  • Français

Co-development of early adolescent alcohol use and depressive feelings: The role of the mu-opioid receptor A118G polymorphism

Published online by Cambridge University Press:  12 September 2014

Marloes Kleinjan ,
Mayke Rozing ,
Rutger C. M. E. Engels  and
Maaike Verhagen
Marloes Kleinjan*
Affiliation:
Radboud University Nijmegen Trimbos Institute
Mayke Rozing
Affiliation:
Radboud University Nijmegen
Rutger C. M. E. Engels
Affiliation:
Radboud University Nijmegen Trimbos Institute
Maaike Verhagen
Affiliation:
Radboud University Nijmegen
*
Address correspondence and reprint requests to: Marloes Kleinjan, Behavioural Science Institute, Radboud University Nijmegen, P.O. Box 9104 6500 HE, Nijmegen, The Netherlands; E-mail: m.kleinjan@pwo.ru.nl.
Get access Rights & Permissions [Opens in a new window]

Abstract

Alcohol use and depressive feelings are often related among early adolescents. However, the nature and underlying mechanisms of this association are not yet clear. The aim of this study was to investigate the co-development of alcohol use and depressive feelings over time and to examine the effects of the mu-opioid receptor (OPRM1) A118G genotype on such co-development. Data from a five-wave longitudinal, genetically informed survey study, with intervals of 4 months among a group of 739 normative early adolescents (12–13 years of age at baseline), were analyzed using a dual latent growth curve approach. OPRM1 status was evaluated from saliva-derived DNA samples. The results indicated a positive association between alcohol use and depressive feelings both at the initial levels and over time, indicating co-development in early adolescence. Compared to OPRM1 118G carriers, homozygous 118A carriers showed a greater increase in frequency of alcohol use and higher levels of depressive feelings over time. Evidence for co-development was only found within the group of homozygous 118A carriers, whereas in OPRM1 118G carriers the development of alcohol use and depressive feelings over time were not significantly associated. These results highlight the potential of OPRM1 as a common etiological factor for the development of alcohol use and depressive feelings in early adolescence.

Type
Regular Articles
Information
Development and Psychopathology , Volume 27 , Issue 3 , August 2015 , pp. 915 - 925
Copyright
Copyright © Cambridge University Press 2014 

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.)

References

Belendiuk, K. A., Molina, B. S., & Donovan, J. E. (2010). Concordance of adolescent reports of friend alcohol use, smoking, and deviant behavior as predicted by quality of relationship and demographic variables. Journal of Studies on Alcohol and Drugs, 711, 253–257.CrossRefGoogle Scholar
Berridge, K. C. (2003). Pleasures of the brain. Brain and Cognition, 52, 106–128.CrossRefGoogle ScholarPubMed
Bond, C., LaForge, K. S., Tian, M., Melia, D., Zhang, S., Borg, L., et al. (1998). Single-nucleotide polymorphism in the human mu-opioid receptor gene alters beta-endorphin binding and activity: Possible implications for opiate addiction. Proceedings of the National Academy of Sciences, 951, 9608–9613.CrossRefGoogle Scholar
Brady, K. T., & Sinha, R. (2005). Co-occuring mental and substance use disorders: The neurobiological effects of chronic stress. American Journal of Psychiatry, 1621, 1483–1493.CrossRefGoogle Scholar
Brener, N. D., Billy, J. O., & Grady, W. R. (2003). Assessment of factors affecting the validity of self-reported health-risk behavior among adolescents: Evidence from the scientific literature. Journal of Adolescent Health, 331, 436–457.CrossRefGoogle Scholar
Chong, R. Y., Oswald, L., Yang, X., Uhart, M., Lin, P. I., & Wand, G. S. (2006). The mu-opioid receptor polymorphism A118G predicts cortisol responses to naloxone and stress. Neuropsychopharmacology, 311, 204–211.CrossRefGoogle Scholar
Clark, D. B., & Bukstein, O. G. (1998). Psychopathology in adolescent alcohol abuse and dependence. Alcohol Health and Research World, 221, 117–121.Google Scholar
Conrod, P. J., Castellanos, N., & Mackie, C. (2008). Personality-targeted interventions delay the growth of adolescent drinking and binge drinking. Journal of Child Psychiatry, 491, 181–190.CrossRefGoogle Scholar
Conrod, P. J., Castellanos-Ryan, N., & Strang, J. (2010). Brief, personality-targeted coping skills interventions and survival as a non-drug user over a two-year period during adolescence. Archives of General Psychiatry, 671, 85–93.CrossRefGoogle Scholar
Conrod, P. J., Stewart, S. H., Comeau, N., & Maclean, A. M. (2006). Efficacy of cognitive-behavioral interventions targeting personality risk factors for youth alcohol misuse. Journal of Clinical Child and Adolescents Psychology, 351, 550–563.CrossRefGoogle Scholar
Costello, J., Mustillo, S., Erkanli, A., Keeler, G., & Angold, A. (2003). Prevalence and development of psychiatric disorders in childhood and adolescence. Archives of General Psychiatry, 601, 837–844.CrossRefGoogle Scholar
Crum, R. M., Storr, C. L., Ialongo, N., & Anthony, J. C. (2008). Is depressed mood in childhood associated with an increased risk for initiation of alcohol use during early adolescence? Addictive Behaviors, 331, 24–40.CrossRefGoogle Scholar
Diaz, A., Simantov, E., & Rickert, V. I. (2002). Effect of abuse on health: Results of a national survey. Archives of Pediatrics and Adolescent Medicine, 1561, 811–817.CrossRefGoogle Scholar
Edwards, A. C., Sihvola, E., Korhonen, T., Pukkinen, L., Moilanen, I., Kaprio, J., et al. (2011). Depressive symptoms and alcohol use are genetically and environmentally correlated across adolescence. Behaviors Genetics, 411, 476–488.CrossRefGoogle Scholar
Engels, R. C. M. E., & Knibbe, R. A. (2000). Alcohol use and intimate relationships in adolescence: When love comes to town. Addictive Behaviors, 251, 435–439.CrossRefGoogle Scholar
Engels, R. C. M. E., Van der Vorst, H., Deković, M., & Meeus, W. (2007). Correspondence in collateral and self-reports on alcohol consumption: A within family analysis. Addictive Behaviors, 321, 1016–1030.CrossRefGoogle Scholar
Fleming, C. B., Mason, W. A., Mazza, J. J., Abbott, R. D., & Catalano, R. F. (2008). Latent growth modeling of the relationship between depressive symptoms and substance use during adolescence. Psychology of Addictive Behaviors, 221, 186–197.CrossRefGoogle Scholar
Garriock, H. A., Tanowitz, M., Kraft, J. B., Dang, V. C., Peters, E. J., Jenkins, G. D., et al. (2010). Association of mu-opioid receptor variants and response to citalopram treatment in major depressive disorder. American Journal of Psychiatry, 1671, 565–573.CrossRefGoogle Scholar
Gau, S. S.Chong, M. Y., Yang, P., Yen, C. F., Liang, K. Y., & Cheng, A. T. (2007). Psychiatric and psychosocial predictors of substance use disorders among adolescents: Longitudinal study. British Journal of Psychiatry, 1901, 42–48.CrossRefGoogle Scholar
Gauderman, W. J., & Morrison, J. M. (2006). QUANTO 1.1: A computer program for power and sample size calculations for genetic-epidemiology studies. Retrieved from http://hydra.usc.edu/gxeGoogle Scholar
Gelernter, J., Kranzler, H., & Cubells, J. (1999). Genetics of two mu-opioid receptor gene (OPRM1) exon I polymorphisms: Population studies, and allele frequencies in alcohol- and drug-dependent subjects. Molecular Psychiatry, 41, 476–483.CrossRefGoogle Scholar
Guerry, J. D., & Hastings, P. D. (2011). In search of HPA axis dysregulation in child and adolescent depression. Clinical Child and Family Psychology Review, 141, 135–160.CrossRefGoogle Scholar
Hankin, B. L., Abramson, L. Y., Moffit, T. E., Silva, P. A., McGee, R., & Angell, K. E. (1998). Development of depression from preadolescence to young adulthood: Emerging gender differences in a 10-year longitudinal study. Journal of Abnormal Psychology, 1071, 128–140.CrossRefGoogle Scholar
Hankin, B. L., Badanes, L. S., Abela, J. R., & Watamura, S. E. (2010). Hypothalamic–pituitary–adrenal axis dysregulation in dysphoric children and adolescents: Cortisol reactivity to psychosocial stress from preschool through middle adolescence. Biological Psychiatry, 681, 484–490.CrossRefGoogle Scholar
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 61, 1–55.CrossRefGoogle Scholar
Johnston, L. D., O'Malley, P. M., & Bachman, J. G. (2001). Monitoring the Future national results on adolescent drug use: Overview of key findings, 20001 (NIH Publication No. 01-4923). Bethesda, MD: National Institute on Drug Abuse.Google Scholar
Kalin, N. H., Shelton, S., & Barksdale, C. (1988). Opiate modulation of separation-induced distress in non-human primates. Brain Research, 4401, 285–292.CrossRefGoogle Scholar
Kazdin, A. E. (1994). Informant variability in the assessment of childhood depression. In Reynolds, W. M. & Johnston, H. E. (Eds.), Handbook of depression in children and adolescents: Issues in clinical child psychology (pp. 249–274). New York: Plenum Press.CrossRefGoogle Scholar
Kennedy, S. E., Koeppe, R. A., Young, E. A., & Zubieta, J. K. (2006). Dysregulation of endogenous opioid emotion regulation circuitry in major depression in women. Archives of General Psychiatry, 631, 1199–1208.CrossRefGoogle Scholar
Kertes, D. A., Kalsi, G., Prescott, C. A., Kuo, P. H., Patterson, D. G., Walsh, D., et al. (2011). Neurotransmitter and neuromodulator genes associated with a history of depressive symptoms in individuals with alcohol dependence. Alcoholism: Clinical and Experimental Research, 351, 496–505.CrossRefGoogle Scholar
King, K. M., & Chassin, L. (2007). A prospective study of the effects of age of initiation of alcohol and drug use on young adult substance dependence. Journal of Studies on Alcohol and Drugs, 681, 256–265.CrossRefGoogle Scholar
Kleinjan, M., Poelen, E. A. P., Engels, R. C. M. E., & Verhagen, M. (2012). Dual growth of adolescent smoking and drinking: Evidence for an interaction between the mu-opioid receptor (OPRM1) A118G polymorphism and sex. Addiction Biology, 181, 1003–1012.Google Scholar
Kuntsche, E., Knibbe, R. A., Gmel, G., & Engels, R. C. M. E. (2005). Why do young people drink? A review of drinking motives. Clinical Psychology Review, 251, 841–861.CrossRefGoogle Scholar
Kuntsche, E., Knibbe, R. A., Gmel, G., & Engels, R. C. M. E. (2006). Who drinks and why? A review of socio-demographic, personality, and contextual issues behind the drinking motives in young people. Addictive Behaviors, 311, 1844–1857.CrossRefGoogle Scholar
Lerman, C., Wileyto, E. P., Patterson, F., Rukstalis, M., Audrain-Mcgovern, J., Restine, S., et al. (2004). The functional mu-opioid receptor (OPRM1) Asn40Asp variant predicts short-term response to nicotine replacement therapy in a clinical trial. Pharmacogenomics Journal, 41, 184–192.CrossRefGoogle Scholar
Lewinsohn, P. M., Roberts, R. E., Seeley, J. R., Rohde, P., Gotlib, I. H., & Hops, H. (1994). Adolescent psychopathology: II. Psychosocial risk factors for depression. Journal of Abnormal Psychology, 1031, 302–315.CrossRefGoogle Scholar
Lopez-Duran, N. L., Kovacs, M., & George, C. J. (2009). Hypothalamic-pituitary-adrenal axis dysregulation in depressed children and adolescents: A meta-analysis. Psychoneuroendocrinology, 341, 1272–1283.CrossRefGoogle Scholar
Marmorstein, N. R. (2009). Longitudinal associations between alcohol problems and depressive symptoms: Early adolescence through early adulthood. Alcoholism: Clinical and Experimental Research, 331, 49–59.CrossRefGoogle Scholar
McGee, R., Feehan, M., Williams, S., & Anderson, J. (1992). DSM-III disorders from age 11 to age 15 years. Journal of the American Academy of Child & Adolescent Psychiatry, 311, 50–59.CrossRefGoogle Scholar
Miller-Johnson, S., Lochman, J. E., Coie, J. D., Terry, R., & Hyman, C. (1998). Comorbidity of conduct and depressive disorders at sixth grade: Substance use outcomes across adolescence. Journal of Abnormal Child Psychology, 261, 221–232.CrossRefGoogle Scholar
Miranda, R., Ray, L., Justus, A., Meyerson, L. A., Knopik, V. S., McGeary, J., et al. (2010). Initial evidence of an association between OPRM1 and adolescent alcohol misuse. Alcoholism: Clinical and Experimental Research, 341, 112–122.CrossRefGoogle Scholar
Muthén, L. K., & Muthén, B. O. (1998–2007). Mplus: The comprehensive modeling program for applied researches. Los Angeles: Author.Google Scholar
Needham, B. L. (2007). Gender differences in trajectories of depressive symptomatology and substance use during the transition from adolescence to young adulthood. Social Science and Medicine, 651, 1166–1179.CrossRefGoogle Scholar
Oroszi, G., Anton, R. F., O'Malley, S., Swift, R., Pettinati, H., Couper, D., et al. (2009). OPRM1 Asn40Asp predicts response to naltrexone treatment: A haplotype-based approach. Alcoholism: Clinical and Experimental Research, 331, 383–393.CrossRefGoogle Scholar
Pagan, J. L., Rose, R. J., Viken, R. J., Pulkkinen, L., Kaprio, J., & Dick, D. M. (2006). Genetic and environmental influences on stages of alcohol use across adolescence and into young adulthood. Behavior Genetics, 361, 483–497.CrossRefGoogle Scholar
Pardini, D., White, H. R., & Stouthamer-Loeber, M. (2007). Early adolescent psychopathology as a predictor of alcohol use disorders by young adulthood. Drug and Alcohol Dependence, 881(Suppl. 1), S38–S49.CrossRefGoogle Scholar
Parker, K. J., Schatzberg, A. F., & Lyons, D. M. (2003). Neuroendocrine aspects of hypercortisolism in major depression. Hormones and Behavior, 431, 60–66.CrossRefGoogle Scholar
Perlis, R. H., Fijal, B., Dharia, S., Heinloth, A. N., & Houston, J. P. (2010). Failure to replicate genetic associations with antidepressant treatment response in duloxetine-treated patients. Biological Psychiatry, 671, 1110–1113.CrossRefGoogle Scholar
Pieters, S., van der Vorst, H., Burk, W. J., Schoenmakers, T. M., Van den Wildenberg, E., Smeets, H. J., et al. (2011). The effect of the OPRM1 and DRD4 polymorphisms on the relation between attentional bias and alcohol use. Developmental Cognitive Neuroscience, 11, 591–599.CrossRefGoogle Scholar
Pieters, S., Van Der Zwaluw, C. S., Van Der Vorst, H., Wiers, R. W., Smeets, H., Lambrichs, E., et al. (2012). The moderating effect of alcohol-specific parental rule-setting on the relation between the dopamine D2 receptor gene (DRD2), the mu-opioid receptor gene (OPRM1) and alcohol use in young adolescents. Alcohol and Alcoholism, 471, 663–670.CrossRefGoogle Scholar
Poelen, E. A. P., Derks, E. M., Engels, R. C. M. E., Van Leeuwe, J. F. J., Scholte, R. H. J., Willemsen, G., et al. (2008). The relative contribution of genes and environment to alcohol use in early adolescents: Are similar factors related to initiation of alcohol use and frequency of drinking? Alcoholism: Clinical and Experimental Research, 321, 975–982.CrossRefGoogle Scholar
Poelen, E. A. P., Scholte, R. H. J., Engels, R. C. M. E., Boomsma, D. I., & Willemsen, G. (2005). Prevalence and trends of alcohol use and misuse among adolescents and young adults in the Netherlands from 1993 to 2000. Drug and Alcohol Dependence, 791, 413–421.CrossRefGoogle Scholar
Radloff, L. S. (1977). The CES-D Scale: A self-report depression scale for research in the general. Applied Psychological Measurement, 11, 385–401.CrossRefGoogle Scholar
Ray, L. A., & Hutchison, K. E. (2004). A polymorphism of the mu-opioid receptor gene (OPRM1) and sensitivity to the effects of alcohol in humans. Alcoholism: Clinical and Experimental Research, 281, 1789–1795.CrossRefGoogle Scholar
Ray, L. A., Miranda, R. Jr., Tidey, J. W., McGeary, J. E., MacKillop, J., Gwaltney, C. J., et al. (2010). Polymorphisms of the mu-opioid receptor and dopamine D4 receptor genes and subjective responses to alcohol in the natural environment. Journal of Abnormal Psychology, 1191, 115–125.CrossRefGoogle Scholar
Robinson, T. E., & Berridge, K. C. (2000). The psychology and neurobiology of addiction: An incentive-sensitization view. Addiction, 951, 91–117.CrossRefGoogle Scholar
Sander, T., Gsheidel, N., Wendel, B., Samochowiec, J., Smolka, M., Rommelspacher, H., et al. (1998). Human mu-opioid receptor variation and alcohol dependence. Alcoholism: Clinical and Experimental Research, 221, 2108–2110.Google Scholar
Saraceno, L., Munafó, M., Heron, J., Craddock, N., & van den Bree, M. B. (2009). Genetic and non-genetic influences on the development of co-occurring alcohol problem use and internalizing symptomatology in adolescence: A review. Addiction, 1041, 1100–1121.CrossRefGoogle Scholar
Satorra, A., & Bentler, P. M. (2001). A scaled difference chi-square test statistic for moment structure analysis. Psychometrika, 661, 507–514.CrossRefGoogle Scholar
Schinka, J. A., Town, T., Abdullah, L., Crawford, F. C., Ordorica, P. I., Francis, E., et al. (2002). A functional polymorphism within the mu-opioid receptor gene and risk for abuse of alcohol and other substances. Molecular Psychiatry, 71, 224–228.CrossRefGoogle Scholar
Skitch, S. A., & Abela, J. R. (2008). Rumination in response to stress as a common vulnerability factor to depression and substance misuse in adolescence. Journal of Abnormal Child Psychology, 361, 1029–1045.CrossRefGoogle Scholar
Sullivan, P. F., Neale, M. C., & Kendler, K. S. (2000). Genetic epidemiology of major depression: Review and meta-analysis. American Journal of Psychiatry, 1571, 1552–1562.CrossRefGoogle Scholar
Tambs, K., Harris, J. R., & Magnus, P. (1997). Genetic and environmental contributions to the correlation between alcohol consumption and symptoms of anxiety and depression: Results from a bivariate analysis of Norwegian twin data. Behavior Genetics, 271, 241–250.CrossRefGoogle Scholar
Town, T., Abdullah, L., Crawford, F., Schinka, J., Ordorica, P. I., Francis, E., et al. (1999). Association of a functional mu-opioid receptor allele (+118A) with alcohol dependency. American Journal of Medical Genetics, 881, 458–461.3.0.CO;2-S>CrossRefGoogle Scholar
Van der Zwaluw, C. S., & Engels, R. C. M. E. (2009). Gene–environment interactions and alcohol use and dependence: Current status and future challenges. Addiction, 1041, 907–914.CrossRefGoogle Scholar
Van der Zwaluw, C. S., Otten, R., Kleinjan, M., & Engels, R. C. (2013). Different trajectories of adolescent alcohol use: Testing gene–environment interactions. Alcoholism: Clinical and Experimental Research, 381, 704–712.Google Scholar
Van Roekel, E., Engels, R. C. M. E., Verhagen, M., Goossens, L., & Scholte, R. H. (2011). Parental depressive feelings, parental support, and the serotonin transporter gene as predictors of adolescent depressive feelings: A latent growth curve analysis. Journal of Youth and Adolescence, 401, 453–462.CrossRefGoogle Scholar
Verdurmen, J., Monshouwer, K., van Dorsselaer, S., ter Bogt, T., & Vollebergh, W. (2005). Alcohol use and mental health in adolescents: Interactions with age and gender—Findings from the Dutch 2001 Health Behaviour in School-Aged Children Survey. Journal of Studies on Alcohol and Drugs, 661, 605–609.CrossRefGoogle Scholar
Zubieta, J. K., Ketter, T. A., Bueller, J. A., Xu, Y., Kilbourn, M. R., Young, E. A., et al. (2003). Regulation of human affective responses by anterior cingulate and limbic mu-opioid neurotransmission. Archives of General Psychiatry, 601, 1145–1153.CrossRefGoogle Scholar