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A developmental model for alcohol use disorders in Swedish men

Published online by Cambridge University Press:  22 July 2016

K. S. Kendler ,
H. Ohlsson ,
A. C. Edwards ,
J. Sundquist  and
K. Sundquist
K. S. Kendler*
Affiliation:
Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA
H. Ohlsson
Affiliation:
Center for Primary Health Care Research, Lund University, Malmö, Sweden
A. C. Edwards
Affiliation:
Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
J. Sundquist
Affiliation:
Center for Primary Health Care Research, Lund University, Malmö, Sweden
K. Sundquist
Affiliation:
Center for Primary Health Care Research, Lund University, Malmö, Sweden
*
*Address for correspondence: K. S. Kendler, M.D., Virginia Institute for Psychiatric and Behavioral Genetics of VCU, Box 980126, Richmond, VA 23298-0126, USA. (Email: [email protected])
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Abstract

Background

Alcohol use disorder (AUD) is a classic multifactorial syndrome and it is critical to understand the diversity of the relevant risk factors and how they inter-relate over development.

Method

We examined 21 risk factors for AUD in four developmental tiers reflecting (i) birth, (ii) childhood and early adolescence, (iii) late adolescence, and (iv) early adulthood in 47 414 Swedish men of whom 3907 (8.2%) were registered for AUD at or after age 25 with a mean length of follow-up of 33.9 (6.6) years. Structural equational model fitting was performed using Mplus.

Results

The best-fitting model provided a good fit to the data and explained 23.4% of the variance in AUD. The five strongest predictors were: externalizing behaviors, criminal behavior, father's alcohol consumption, genetic risk, and low educational attainment. Two developmentally early familial/genetic risk factors had substantial direct paths to AUD: father's alcohol consumption and genetic liability. Other broad developmental pathways to risk for AUD were evident: externalizing, psychosocial and internalizing. Overall, the externalizing pathway to AUD was the strongest. However, these pathways were substantially interwoven over time such that risk factors from one domain were commonly predicted by and/or predicted risk factors from the other broad domains of risk.

Conclusion

AUD in men is an etiologically complex syndrome influenced by familial-genetic, psychosocial, internalizing, and especially externalizing risk factors that act and interact over development and have complicated mediational pathways.

Keywords

Alcohol use disorderdevelopmentenvironmentpersonalitypath models
Type
Original Articles
Information
Psychological Medicine , Volume 46 , Issue 13 , October 2016 , pp. 2759 - 2770
Copyright
Copyright © Cambridge University Press 2016 

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References

APA (1994). Diagnostic and Statistical Manual of Mental Disorders, 4th edn. American Psychiatric Association: Washington, DC.Google Scholar
Caspi, A, Moffitt, TE, Newman, DL, Silva, PA (1996). Behavioral observations at age 3 years predict adult psychiatric disorders. Longitudinal evidence from a birth cohort. Archives of General Psychiatry 53, 1033–1039.CrossRefGoogle ScholarPubMed
Cloninger, CR, Sigvardsson, S, Bohman, M (1996). Type I and type II alcoholism: an update. Alcohol Health and Research World 20, 18–23.Google Scholar
Coie, JD, Miller-Johnson, S (2001). Peer factors and interventions. In Child Delinquents: Development, Intervention, and Service Needs (ed. Loeber, R. and Farrington, D. P.), pp. 191–209. Sage Publications, Inc.: London.CrossRefGoogle Scholar
Cooper, ML (1994). Motivations for alcohol use among adolescents: development and validation of a four-factor model. Psychological Assessment 6, 117–128.Google Scholar
Dielman, TE, Butchart, AT, Shope, JT, Miller, M (1990). Environmental correlates of adolescent substance use and misuse: implications for prevention programs. International Journal of Addiction 25, 855–880.Google Scholar
Dubow, EF, Boxer, P, Huesmann, LR (2008). Childhood and adolescent predictors of early and middle adulthood alcohol use and problem drinking: the Columbia County Longitudinal Study. Addiction 103 (Suppl. 1), 36–47.Google Scholar
Eaton, WW, Neufeld, K, Chen, LS, Cai, G (2000). A comparison of self-report and clinical diagnostic interviews for depression: diagnostic interview schedule and schedules for clinical assessment in neuropsychiatry in the Baltimore epidemiologic catchment area follow-up. Archives of General Psychiatry 57, 217–222.Google Scholar
Edwards, AC, Gardner, CO, Hickman, M, Kendler, KS (2015). A prospective longitudinal model predicting early adult alcohol problems: evidence for a robust externalizing pathway. Psychological Medicine 45, 957–968.Google Scholar
Engel, GL (1977). The need for a new medical model: a challenge for biomedicine. Science 196, 129–136.Google Scholar
Englund, MM, Egeland, B, Oliva, EM, Collins, WA (2008). Childhood and adolescent predictors of heavy drinking and alcohol use disorders in early adulthood: a longitudinal developmental analysis. Addiction 103 (Suppl. 1), 23–35.CrossRefGoogle ScholarPubMed
Farrington, D (2005). Childhood origins of antisocial behavior. Clinical Psychology and Psychotherapy 12, 177–190.Google Scholar
Feingold, A, Capaldi, DM, Owen, LD (2015). Proximal vs. distal predictors of alcohol use disorders and treatment utilization in at-risk men in early middle age. Comprehensive Psychiatry 61, 64–71.Google Scholar
Fergusson, DM, Horwood, LJ, Lynskey, MT (1995). The prevalence and risk factors associated with abusive or hazardous alcohol consumption in 16-year-olds. Addiction 90, 935–946.CrossRefGoogle ScholarPubMed
Fergusson, DM, Mullen, PE (1999). Childhood Sexual Abuse: an Evidence Based Perspective. Sage Publications, Inc: Thousand Oaks, CA.CrossRefGoogle Scholar
Finn, PR, Hall, J (2004). Cognitive ability and risk for alcoholism: short-term memory capacity and intelligence moderate personality risk for alcohol problems. Journal of Abnormal Psychology 113, 569–581.Google Scholar
Fletcher, A, Darling, N, Steinberg, L (1995). Parental monitoring and peer influences on adolescent substance use. In Coercion and Punishment in Long-Term Perspectives (ed. McCord, J.), pp. 259–271. Cambridge University Press: Cambridge, New York, Melbourne.Google Scholar
Grant, BF, Goldstein, RB, Saha, TD, Chou, SP, Jung, J, Zhang, H, Pickering, RP, Ruan, WJ, Smith, SM, Huang, B, Hasin, DS (2015). Epidemiology of DSM-5 alcohol use disorder: results from the national epidemiologic survey on alcohol and related conditions III. JAMA Psychiatry 72, 757–766.Google Scholar
Grucza, RA, Robert, CC, Bucholz, KK, Constantino, JN, Schuckit, MI, Dick, DM, Bierut, LJ (2006). Novelty seeking as a moderator of familial risk for alcohol dependence. Alcohol Clinical and Experimental Research 30, 1176–1183.Google Scholar
Guo, J, Hawkins, JD, Hill, KG, Abbott, RD (2001). Childhood and adolescent predictors of alcohol abuse and dependence in young adulthood. Journal of Studies on Alcohol 62, 754–762.Google Scholar
Hawkins, JD, Catalano, RF, Miller, JY (1992). Risk and protective factors for alcohol and other drug problems in adolescence and early adulthood: implications for substance abuse prevention. Psychological Bulletin 112, 64–105.Google Scholar
Hawkins, JD, Herrenkohl, T, Farrington, DP, Brewer, D, Catalano, RF, Harachi, TW (1998). A review of predictors of youth violence. In Serious & Violent Juvenile Offenders: Risk Factors and Successful Interventions (ed. Loeber, R. and Farrington, D. P.), pp. 106–146. Sage Publications, Inc.: London.Google Scholar
Kandel, D (1975). Stages in adolescent involvement in drug use. Science 190, 912–914.Google Scholar
Kendler, KS (2005). Toward a philosophical structure for psychiatry. American Journal of Psychiatry 163, 433–440.Google Scholar
Kendler, KS, Bulik, CM, Silberg, J, Hettema, JM, Myers, J, Prescott, CA (2000). Childhood sexual abuse and adult psychiatric and substance use disorders in women: an epidemiological and cotwin control analysis. Archives of General Psychiatry 57, 953–959.Google Scholar
Kendler, KS, Gardner, C, Dick, DM (2011 a). Predicting alcohol consumption in adolescence from alcohol-specific and general externalizing genetic risk factors, key environmental exposures and their interaction. Psychological Medicine 41, 1507–1516.Google Scholar
Kendler, KS, Gardner, CO, Prescott, CA (2006). Toward a comprehensive developmental model for major depression in men. American Journal of Psychiatry 163, 115–124.Google Scholar
Kendler, KS, Gardner, CO, Prescott, CA (2011 b). Toward a comprehensive developmental model for alcohol use disorders in men. Twin Research and Human Genetics 14, 1–15.Google Scholar
Kendler, KS, Heath, AC, Neale, MC, Kessler, RC, Eaves, LJ (1993). Alcoholism and major depression in women. A twin study of the causes of comorbidity. Archives of General Psychiatry 50, 690–698.Google Scholar
Kendler, KS, Ji, J, Edwards, AC, Ohlsson, H, Sundquist, J, Sundquist, K (2015). An extended Swedish National Adoption Study of alcohol use disorder. JAMA Psychiatry 72, 211–218.Google Scholar
Kendler, KS, Lonn, SL, Maes, HH, Lichtenstein, P, Sundquist, J, Sundquist, K (2016). A Swedish population-based multivariate twin study of externalizing disorders. Behavior Genetics 46, 183–192.Google Scholar
Kendler, KS, Neale, MC, Prescott, CA, Kessler, RC, Heath, AC, Corey, LA, Eaves, LJ (1996). Childhood parental loss and alcoholism in women: a causal analysis using a twin-family design. Psychological Medicine 26, 79–95.Google Scholar
Kendler, KS, Prescott, CA, Myers, J, Neale, MC (2003). The structure of genetic and environmental risk factors for common psychiatric and substance use disorders in men and women. Archives of General Psychiatry 60, 929–937.Google Scholar
Kessler, RC, Crum, RM, Warner, LA, Nelson, CB, Schulenberg, J, Anthony, JC (1997). Lifetime co-occurrence of DSM-III-R alcohol abuse and dependence with other psychiatric disorders in the National Comorbidity Survey. Archives of General Psychiatry 54, 313–321.Google Scholar
Kessler, RC, McGonagle, KA, Zhao, S, Nelson, CB, Hughes, M, Eshleman, S, Wittchen, HU, Kendler, KS (1994). Lifetime and 12-month prevalence of DSM-III-R psychiatric disorders in the United States. Results from the National Comorbidity Survey. Archives of General Psychiatry 51, 8–19.Google Scholar
Kringlen, E, Torgersen, S, Cramer, V (2001). A Norwegian psychiatric epidemiological study. American Journal of Psychiatry 158, 1091–1098.Google Scholar
Leifman, H (2002). A comparative analysis of drinking patterns in six EU countries in the year 2000. Contemporary Drug Problems 29, 501–548.Google Scholar
Maggs, JL, Patrick, ME, Feinstein, L (2008). Childhood and adolescent predictors of alcohol use and problems in adolescence and adulthood in the National Child Development Study. Addiction 103 (Suppl. 1), 7–22.CrossRefGoogle ScholarPubMed
Manzardo, AM, Penick, EC, Knop, J, Nickel, EJ, Hall, S, Jensen, P, Gabrielli, WF Jr. (2005). Developmental differences in childhood motor coordination predict adult alcohol dependence: proposed role for the cerebellum in alcoholism. Alcohol Clinical Experimental Research 29, 353–357.Google Scholar
McGue, M, Iacono, WG (2008). The adolescent origins of substance use disorders. International Journal Methods Psychiatric Research 17, S30–S38.Google Scholar
Miller-Tutzauer, C, Leonard, KE, Windle, M (1991). Marriage and alcohol use: a longitudinal study of ‘maturing out’. Journal of Studies on Alcohol 52, 434–440.Google Scholar
Mossakowski, KN (2008). Is the duration of poverty and unemployment a risk factor for heavy drinking? Social and Scientific Medicine 67, 947–955.Google Scholar
Muthén, LK, Muthén, BO (2015). Mplus User's Guide: 1998–2015, 7th edn. Muthén & Muthén: Los Angeles, CA.Google Scholar
Nigg, JT, Glass, JM, Wong, MM, Poon, E, Jester, JM, Fitzgerald, HE, Puttler, LI, Adams, KM, Zucker, RA (2004). Neuropsychological executive functioning in children at elevated risk for alcoholism: findings in early adolescence. Journal of Abnormal Psychology 113, 302–314.Google Scholar
Ohannessian, CM, Hesselbrock, VM (2008). A comparison of three vulnerability models for the onset of substance use in a high-risk sample. Journal of Studies on Alcohol and Drugs 69, 75–84.Google Scholar
Patterson, GR, Dishion, TJ, Yoerger, K (2000). Adolescent growth in new forms of problem behavior: macro- and micro-peer dynamics. Previews of Science 1, 3–13.Google Scholar
Pitkanen, T, Kokko, K, Lyyra, AL, Pulkkinen, L (2008). A developmental approach to alcohol drinking behaviour in adulthood: a follow-up study from age 8 to age 42. Addiction 103 (Suppl. 1), 48–68.Google Scholar
Prescott, CA, Cross, RJ, Kuhn, JW, Horn, JL, Kendler, KS (2004). Is risk for alcoholism mediated by individual differences in drinking motivations? Alcohol Clinical and Experimental Research 28, 29–39.Google Scholar
Saunders, JB, Aasland, OG, Babor, TF, dela Fuente, JR, Grant, M (1993). Development of the alcohol use disorders identification test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption – II. Addiction 88, 791–804.Google Scholar
Schaffner, KF (1994). Psychiatry and Molecular Biology: Reductionistic Approaches to Schizophrenia in Philosophical Perspectives on Psychiatric Diagnostic Classification. Johns Hopkins University Press: Baltimore.Google Scholar
Sher, KJ, Grekin, ER, Williams, NA (2005). The development of alcohol use disorders. Annual Review of Clinical Psychology 1, 493–523.Google Scholar
Slutske, WS, Heath, AC, Madden, PA, Bucholz, KK, Statham, DJ, Martin, NG (2002). Personality and the genetic risk for alcohol dependence. Journal of Abnormal Psychology 111, 124–133.Google Scholar
Spear, NE, Molina, JC (2005). Fetal or infantile exposure to ethanol promotes ethanol ingestion in adolescence and adulthood: a theoretical review. Alcohol and Clinical Experimental Research 29, 909–929.CrossRefGoogle ScholarPubMed
Steinberg, L, Fletcher, A, Darling, N (1994). Parental monitoring and peer influences on adolescent substance use. Pediatrics 93, 1060–1064.Google Scholar
Tanzi, RE, Gusella, JF, Watkins, PC, Bruns, GA, George-Hyslop, P, Van Keuren, ML, Patterson, D, Pagan, S, Kurnit, DM, Neve, RL (1987). Amyloid beta protein gene: cDNA, mRNA distribution, and genetic linkage near the Alzheimer locus. Science 235, 880–884.Google Scholar
Tucker, JS, Ellickson, PL, Klein, DJ (2008). Growing up in a permissive household: what deters at-risk adolescents from heavy drinking? Journal of Studies on Alcohol and Drugs 69, 528–534.Google Scholar
Verdejo-Garcia, A, Lawrence, AJ, Clark, L (2008). Impulsivity as a vulnerability marker for substance-use disorders: review of findings from high-risk research, problem gamblers and genetic association studies. Neuroscience and Biobehavioral Reviews 32, 777–810.Google Scholar
Verhulst, B, Neale, MC, Kendler, KS (2015). The heritability of alcohol use disorders: a meta-analysis of twin and adoption studies. Psychological Medicine 45, 1061–1072.Google Scholar
Volk, DW, Lewis, DA (2010). Prefrontal cortical circuits in schizophrenia. Current Topics in Behavioral Neurosciences 4, 485–508.Google Scholar
Windle, M (1999). Alcohol Use Among Adolescents (Developmental Clinical Psychology and Psychiatry), 1st edn. Sage Publications Inc.: London, UK.Google Scholar
Zucker, RA (2006). Alcohol use and the alcohol use disorders: a developmental-biopsychosocial systems formulation covering the life course. In Developmental Psychopathology, Vol. 3: Risk, Disorder, and Adaptation, 2nd edn, vol. 3 (ed. Cicchetti, D. and Cohen, D. J.), pp. 620–656. John Wiley & Sons Inc: Hoboken, NJ.Google Scholar
Zucker, RA (2008). Anticipating problem alcohol use developmentally from childhood into middle adulthood: what have we learned? Addiction 103 (Suppl. 1), 100–108.Google Scholar
Zuckerman, M (1972). Drug use as one manifestation of a ‘sensation-seeking trait’. In Drug Abuse: Current Concepts and Research (ed. Keup, W.), pp. 154–163. Charles C. Thomas: Springfield, IL.Google Scholar
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