Although past research highlights a close relationship between alcohol and crime, its role as a static (i.e., stable) and dynamic (i.e., changing) risk factor of violent delinquency has been less studied. Cross-lagged dynamic panel models were employed to address this issue based on a longitudinal Korean adolescent sample. Despite the significant independent effects of baseline individual differences in alcohol use, its impact on violence was no longer statistically significant when accounting for within-individual changes in alcohol consumption. However, we also found interaction effects between baseline and within-individual changes in alcohol consumption; youth who consume more alcohol at earlier ages and engage in more alcohol use over time are more likely to engage in violence. Findings stress the importance of studying static and dynamic factors and their interaction to provide a greater understanding of violent delinquency. Limitations and implications for policy and practices are discussed.
AllisonP. D.WilliamsR.Moral-BenitoE. (2017). Maximum likelihood for cross-lagged panel models with fixed effects. Socius: Sociological Research for a Dynamic World, 3(1), 1–17. https://doi.org/10.1177/2378023117710578
2.
AndrewsD. A.BontaJ. (2010). The psychology of criminal conduct. Routledge.
3.
BeckK. H.BoyleJ. R.BoekelooB. O. (2004). Parental monitoring and adolescent drinking: Results of a 12-month follow-up. American Journal of Health Behavior, 28(3), 272–279. https://doi.org/10.5993/ajhb.28.3.8
4.
BeechA. R.WardT. (2004). The integration of etiology and risk in sexual offenders: A theoretical framework. Aggression and Violent Behavior, 10(1), 31–63. https://doi.org/10.1016/j.avb.2003.08.002
5.
BontaJ.AndrewsD. A. (2007). Risk-need-responsivity model for offender assessment and rehabilitation. Rehabilitation, 6(1), 1–22. https://doi.org/10.4324/9780203962176-9
6.
BontaJ. L.AndrewsD. A. (2017). The psychology of criminal conduct (6th ed.). Routledge.
7.
BrameR.BushwayS.PaternosterR. (1999). On the use of panel research designs and random effects models to investigate static and dynamic theories of criminal offending. Criminology, 37(3), 599–642. https://doi.org/10.1111/j.1745-9125.1999.tb00498.x
ClarkeM. C.Peterson-BadaliM.SkillingT. A. (2017). The relationship between changes in dynamic risk factors and the predictive validity of risk assessments among youth offenders. Criminal Justice and Behavior, 44(10), 1340–1355. https://doi.org/10.1177/0093854817719915
11.
DeutschA. R. (2021). Punch-drunk or drunken boxing? The etiology of alcohol-related physical violence through adolescence and young adulthood. Substance Use & Misuse, 56(5), 615–626. https://doi.org/10.1080/10826084.2021.1887244
12.
DoY. K.ShinE. (2017). Bidirectional relationship between time preference and adolescent smoking and alcohol use: Evidence from longitudinal data. Addictive Behaviors, 70, 42–48. https://doi.org/10.1016/j.addbeh.2017.01.037
13.
DouglasK. S.SkeemJ. L. (2005). Violence risk assessment: Getting specific about being dynamic. Psychology, Public Policy, and Law, 11(3), 347–383. https://doi.org/10.1037/1076-8971.11.3.347
14.
DukeA. A.SmithK. M.OberleitnerL.WestphalA.McKeeS. A. (2018). Alcohol, drugs, and violence: A meta-meta-analysis. Psychology of Violence, 8(2), 238. https://doi.org/10.1037/vio0000106
15.
EisenbergM. J.van HornJ. E.DekkerJ. M.AssinkM.van der PutC. E.HendriksJ.StamsG. J. J. (2019). Static and dynamic predictors of general and violent criminal offense recidivism in the forensic outpatient population: A meta-analysis. Criminal Justice and Behavior, 46(5), 732–750. https://doi.org/10.1177/0093854819826109
16.
ExumM. L. (2006). Alcohol and aggression: An integration of findings from experimental studies. Journal of Criminal Justice, 34(2), 131–145. https://doi.org/10.1016/j.jcrimjus.2006.01.008
FelsonR. B.SavolainenJ.BjarnasonT.AndersonA. L.ZohraI. T. (2011). The cultural context of adolescent drinking and violence in 30 European countries. Criminology, 49(3), 699–728. https://doi.org/10.1111/j.1745-9125.2011.00239.x
21.
FelsonR. D.SavolainenJ.AaltonenM.MoustgaardH. (2008). Is the association between alcohol use and delinquency causal or spurious?Criminology, 46(3), 785–808. https://doi.org/10.1111/j.1745-9125.2008.00120.x
ForrestW.HayC.WiddowsonA. O.RocqueM. (2019). Development of impulsivity and risk-seeking: Implications for the dimensionality and stability of self-control. Criminology, 57(3), 512–543. https://doi.org/10.1111/1745-9125.12214
24.
GiancolaP. R.JosephsR. A.ParrottD. J.DukeA. A. (2010). Alcohol myopia revisited: Clarifying aggression and other acts of disinhibition through a distorted lens. Perspectives on Psychological Science, 5(3), 265–278. https://doi.org/10.1177/1745691610369467
GottfredsonM. R.HirschiT. (1990). A general theory of crime. Stanford University Press.
27.
Haggård-GrannU.HallqvistJ.LångströmN.MöllerJ. (2006). The role of alcohol and drugs in triggering criminal violence: A case-crossover study. Addiction, 101(1), 100–108. https://doi.org/10.1111/j.1360-0443.2005.01293.x
28.
HammertonG.MahedyL.MurrayJ.MaughanB.EdwardsA. C.KendlerK. S.HickmanM.HeronJ. (2017). Effects of excessive alcohol use on antisocial behavior across adolescence and early adulthood. Journal of the American Academy of Child & Adolescent Psychiatry, 56(10), 857–865. https://doi.org/10.1016/j.jaac.2017.07.781
29.
HaynieD. L. (2001). Delinquent peers revisited: Does network structure matter?American Journal of Sociology, 106(4), 1013–1057. https://doi.org/10.1086/320298
30.
HeilbrunK. (1997). Prediction versus management models relevant to risk assessment: The importance of legal decision-making context. Law and Human Behavior, 21(4), 347–359. https://doi.org/10.1023/a:1024851017947
31.
HeoM. (2018). Regulation and intervention strategy of underage drinking. National Assembly Research Service.
32.
HoebenE. M.MeldrumR. C.WalkerD. A.YoungJ. T. (2016). The role of peer delinquency and unstructured socializing in explaining delinquency and substance use: A state-of-the-art review. Journal of Criminal Justice, 47, 108–122. https://doi.org/10.1016/j.jcrimjus.2016.08.001
33.
HoebenE. M.OsgoodD. W.SiennickS. E.WeermanF. M. (2021). Hanging out with the wrong crowd? The role of unstructured socializing in adolescents’ specialization in delinquency and substance use. Journal of Quantitative Criminology, 37(1), 141–177. https://doi.org/10.1007/s10940-019-09447-4
34.
HuangB.WhiteH. R.KostermanR.CatalanoR. F.HawkinsJ. C. (2001). Developmental associations between alcohol and interpersonal aggression during adolescence. Journal of Research in Crime and Delinquency, 38(1), 64–83. https://doi.org/10.1177/0022427801038001004
35.
JenningsW. G.PiqueroA. R.RocqueM.FarringtonD. P. (2015). The effects of binge and problem drinking on problem behavior and adjustment over the life course: Findings from the Cambridge Study in Delinquent Development. Journal of Criminal Justice, 43(6), 453–463. https://doi.org/10.1016/j.jcrimjus.2015.09.002
36.
JiangH.XiangX.HaoW.RoomR.ZhangX.WangX. (2018). Measuring and preventing alcohol use and related harm among young people in Asian countries: A thematic review. Global Health Research and Policy, 3(1), 1–14. https://doi.org/10.1186/s41256-018-0070-2
37.
KimJ.CardwellS. M.LeeY. (2023). Early onset delinquency and violent delinquency in adolescence: The role of abusive parents and delinquent peer associations. Crime and Delinquency, 69(6–7), 1183–1208. https://doi.org/10.1177/00111287211057861
38.
KimJ.LeeD. (1995). The development of Korean youth deviance scale. Korean Institute of Criminology.
39.
KimJ.LeeY. (2019). Does it take a school? Revisiting the influence of first arrest on subsequent delinquency and educational attainment in a tolerant educational background. Journal of Research in Crime and Delinquency, 56(2), 254–302. https://doi.org/10.1177/0022427818801053
40.
Korean Government Youth Commission. (2006). White paper on adolescence.
41.
Korean Government Youth Commission. (2007). White paper on adolescence.
42.
KrohnM. D.ThornberryT. P.GibsonC. L.BaldwinJ. M. (2010). The development and impact of self-report measures of crime and delinquency. Journal of Quantitative Criminology, 26, 509–525. https://doi.org/10.1007/s10940-010-9119-1
43.
KulisS. S.MarsigliaF. F.Nuño-GutiérrezB. L.Corona-LozanoM. D.Mendoza-MeléndezM. A.KiehneE.JagerJ.AyersS. L.HanS. (2019). Reciprocal effects of alcohol use and violence perpetration among early adolescents in Mexico: A gendered analysis. Journal of Youth and Adolescence, 48(8), 1519–1531. https://doi.org/10.1007/s10964-019-01014-1
44.
LeeJ. (2012). The influence of parent–adolescent relationship quality, parental monitoring, and peer substance use on substance use in South Korean high school students: Using latent growth curve modelling. Health Education Journal, 71, 505–515. https://doi.org/10.1177/0017896911409733
45.
LeeK. S.BaekH. J. (2007). Korea Youth Panel Survey (KYPS) III: A summary report. Korea Institute for Youth Development.
46.
LeeS. (2002). A study on causes and intervention of school violence. Korean Institute of Criminology.
47.
LeeY.KimJ. (2017a). Developmental patterns of substance use by gender and their relation to individual, parental, and peer factors. Criminal Justice and Behavior, 44(11), 1413–1443. https://doi.org/10.1177/0093854817717291
48.
LeeY.KimJ. (2017b). An examination of victimization trajectories among a sample of South Korean adolescents: Risk and protective factors. Crime and Delinquency, 63(11), 1434–1457. https://doi.org/10.1177/0011128716634103
49.
LeeY.KimJ.SongH. (2022). Do negative emotions matter? Paths from victimization to cyber and traditional bullying from a general strain theory perspective. Crime and Delinquency, 68(13–14), 2503–2528. https://doi.org/10.1177/00111287211052439
50.
LoeberR.FarringtonD. P. (Eds.). (1998). Serious & violent juvenile offenders: Risk factors and successful interventions. Sage.
51.
LofthouseR. E.TotsikaV.HastingsR. P.LindsayW. R.HogueT. E.TaylorJ. L. (2014). How do static and dynamic risk factors work together to predict violent behaviour among offenders with an intellectual disability?Journal of Intellectual Disability Research, 58(2), 125–133. https://doi.org/10.1111/j.1365-2788.2012.01645.x
52.
MacLeanS.MooreD. (2014). ‘Hyped up’: Assemblages of alcohol, excitement and violence for outer-suburban young adults in the inner-city at night. International Journal of Drug Policy, 25(3), 378–385. https://doi.org/10.1016/j.drugpo.2014.02.006
53.
MatsuedaR. (1986, July). The dynamics of belief and delinquency [Paper presentation]. Annual Meetings of the American Sociological Association, New York, NY, United States.
54.
McGrathA.ThompsonA. P. (2012). The relative predictive validity of the static and dynamic domain scores in risk-need assessment of juvenile offenders. Criminal Justice and Behavior, 39, 250–263. https://doi.org/10.1177/0093854811431917
55.
MeiselS. N.ColderC. R.BowkerJ. C.HussongA. M. (2018). A longitudinal examination of mediational pathways linking chronic victimization and exclusion to adolescent alcohol use. Developmental Psychology, 54(9), 1795–1807. https://doi.org/10.1037/dev0000569
56.
MoffittT. E. (1993). Adolescence-limited and life-course-persistent antisocial behavior: A developmental taxonomy. Psychological Review, 100(4), 674–701. https://doi.org/10.1037/0033-295x.100.4.674
PiqueroA. R.MonahanK. C.GlasheenC.SchubertC. A.MulveyE. P. (2012). Does time matter? Comparing trajectory concordance and covariate association using time-based and age-based assessments. Crime and Delinquency, 59(5), 738–763. https://doi.org/10.1177/0011128712459491
62.
ReskoS. M.WaltonM. A.BinghamC. R.ShopeJ. T.ZimmermanM.ChermackS. T.BlowF. D.CunninghamR. M. (2010). Alcohol availability and violence among inner-city adolescents: A multi-level analysis of the role of alcohol outlet density. American Journal of Community Psychology, 46(3), 253–262. https://doi.org/10.1007/s10464-010-9353-6
63.
Scholes-BalogK. E.HemphillS. A.KremerP.ToumbourouJ. W. (2013). A longitudinal study of the reciprocal effects of alcohol use and interpersonal violence among Australian young people. Journal of Youth and Adolescence, 42(12), 1811–1823. https://doi.org/10.1007/s10964-013-9910-z
64.
SchuckA. M.WidomC. S. (2001). Childhood victimization and alcohol symptoms in females: Causal inferences and hypothesized mediators. Child Abuse and Neglect, 25(8), 1069–1092. https://doi.org/10.1016/s0145-2134(01)00257-5
65.
SellersC. S. (1999). Self-control and intimate violence: An examination of the scope and specification of the general theory of crime. Criminology, 37(2), 375–404. https://doi.org/10.1111/j.1745-9125.1999.tb00490.x
66.
Simons-MortonB. G.FarhatT.Ter BogtT. F.HubletA.KuntscheE.Nic GabhainnS.KokkeviA. (2009). Gender specific trends in alcohol use: Cross-cultural comparisons from 1998 to 2006 in 24 countries and regions. International Journal of Public Health, 54(2), 199–208. https://doi.org/10.1007/s00038-009-5411-y
67.
SkeemJ.MulveyE. (2002). Monitoring the violence potential of mentally disordered offenders being treated in the community. In BuchananA.WoottonL. (Eds.), Care of the mentally disordered offender in the community (pp. 111–142). Oxford University Press.
VincentG. M.ChapmanJ.CookN. E. (2011). Risk-needs assessment in juvenile justice: Predictive validity of the SAVRY, racial differences and the contribution of needs factors. Criminal Justice and Behavior, 38, 42–62. https://doi.org/10.1177/0093854810386000
70.
VincentG. M.PerraultR. T.GuyL. S.GershensonB. G. (2012). Developmental issues in risk assessment: Implications for juvenile justice. Victims and Offenders, 7(4), 364–384. https://doi.org/10.1080/15564886.2012.713900
WeermanF. M.WilcoxP.SullivanC. J. (2018). The short-term dynamics of peers and delinquent behavior: An analysis of bi-weekly changes within a high school student network. Journal of Quantitative Criminology, 34(2), 431–463. https://doi.org/10.1007/s10940-017-9340-2
73.
WhiteH. R. (2015). A developmental approach to understanding the substance use-crime connection. In MorizotJ.KazemianL. (Eds.), The development of criminal and antisocial behavior (pp. 379–397). Springer.
74.
WhiteH. R.LeeC.MunE. Y.LoeberR. (2012). Developmental patterns of alcohol use in relation to the persistence and desistance of serious violent offending among African American and Caucasian young men. Criminology, 50(2), 391–426. https://doi.org/10.1111/j.1745-9125.2011.00263.x
75.
WhiteH. R.LoeberR.Stouthamer–LoeberM.FarringtonD. P. (1999). Developmental associations between substance use and violence. Development and Psychopathology, 11(4), 785–803. https://doi.org/10.1017/s0954579499002321
76.
WilliamsR.AllisonP. D.Moral-BenitoE. (2018). Linear dynamic panel-data estimation using maximum likelihood and structural equation modeling. Stata Journal, 18(2), 293–326. https://doi.org/10.1177/1536867x1801800201
77.
WojciechowskiT. W. (2019). Victimization recency, development of anger, and violent offending in early adulthood: A developmental test of general strain theory. Deviant Behavior, 40(7), 866–881. https://doi.org/10.1080/01639625.2018.1443766
78.
WuY.StantonB. F.GalbraithJ.KaljeeL.CottrellL.LiX.HarrisC. V.D’AlessandriD.BurnsJ. M. (2003). Sustaining and broadening intervention impact: A longitudinal randomized trial of 3 adolescent risk reduction approaches. Pediatrics, 111(1), e32–e38. https://doi.org/10.1542/peds.111.1.e32
79.
XueY.ZimmermanM. A.CunninghamR. (2009). Relationship between alcohol use and violent behavior among urban African American youths from adolescence to emerging adulthood: A longitudinal study. American Journal of Public Health, 99(11), 2041–2048. https://doi.org/10.2105/ajph.2008.147827
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