Integrating basic research with prevention/intervention to reduce risky substance use among college students.
paper
Cited
Public
- Authors
- Dick, Danielle M; Hancock, Linda C
- Year
- 2015
- Journal
- Frontiers in psychology
- PMID
- 25999878
- DOI
- 10.3389/fpsyg.2015.00544
- PMCID
- PMC4423347
Too often basic research on etiological processes that contribute to substance use outcomes is disconnected from efforts to develop prevention and intervention programming. Substance use on college campuses is an area of concern where translational efforts that bring together basic scientists and prevention/intervention practitioners have potential for high impact. We describe an effort at a large, public, urban university in the United States to bring together researchers across the campus with expertise in college behavioral health with university administration and health/wellness practitioners to address college student substance use and mental health. The project "Spit for Science" examines how genetic and environmental influences contribute to behavioral health outcomes across the college years. We argue that findings coming out of basic research can be used to develop more tailored prevention and intervention programming that incorporates both biologically and psychosocially influenced risk factors. Examples of personalized programming suggest this may be a fruitful way to advance the field and reduce risky substance use.
No figures extracted from this document.
1–20 of 28
Next →
| Name | Type |
|---|---|
| academic performance | phenotype |
| adolescents | cohort |
| Adult alcohol use outcomes local | phenotype |
| alcohol | phenotype |
| alcohol dependence | phenotype |
| alcoholism | phenotype |
| Alcohol Problems | phenotype |
| alcohol-related outcomes | phenotype |
| alcohol-related problems | phenotype |
| alcohol sensitivity | phenotype |
| Alcohol-tobacco-cannabis users local | phenotype |
| Alcohol Use | phenotype |
| Alcohol Use Disorder | phenotype |
| Antisocial/externalizing traits local | phenotype |
| antisocial personality disorder | phenotype |
| anxiety | phenotype |
| anxious local | phenotype |
| Anxious/depressive comorbid features local | phenotype |
| applied researchers local | cohort |
| basic researchers local | cohort |
| behavioral disinhibition | phenotype |
| Behavioral health local | phenotype |
| Behavioral undercontrol | phenotype |
| binge drinking | phenotype |
| cannabis use | phenotype |
| Career goals local | phenotype |
| children | cohort |
| college students | cohort |
| college student substance use local | phenotype |
| conduct disorder | phenotype |
| death | phenotype |
| Decreased alcohol use local | phenotype |
| depression | phenotype |
| DNA | drug |
| DNA Component local | cohort |
| Early childhood temperamental factors local | phenotype |
| eating disorders | phenotype |
| Emotional and conduct problems local | phenotype |
| excessive alcohol consumption | phenotype |
| externalizing disorders | phenotype |
| externalizing pathway | phenotype |
| family history positive | phenotype |
| Genotypic risk local | phenotype |
| Graduation rates local | phenotype |
| Heavy drinking (first semester) local | phenotype |
| Heavy drinking (pre-college) local | phenotype |
| height | phenotype |
| High level of response local | phenotype |
| high responder | phenotype |
| High risk drinking practices local | phenotype |
| High-risk users local | cohort |
| hopelessness | phenotype |
| illicit drugs | phenotype |
| illicit drug use | phenotype |
| impulsivity | phenotype |
| Incoming Freshmen local | cohort |
| internalizing characteristics | phenotype |
| internalizing disorders | phenotype |
| internalizing pathway | phenotype |
| Legal consequences local | phenotype |
| Level of response prevention program local | cohort |
| Longitudinal birth cohort (>12,000) local | cohort |
| low level of response | phenotype |
| low responder local | phenotype |
| Low substance users local | cohort |
| Low substance users local | phenotype |
| mandated students | cohort |
| marijuana | phenotype |
| marijuana use disorder | phenotype |
| Maximum number of drinks in a day local | phenotype |
| Monitoring the Future local | cohort |
| mood disorders | phenotype |
| nicotine use | phenotype |
| Noise complaints local | phenotype |
| Non-tailored program local | cohort |
| novelty seeking | phenotype |
| other drug use | phenotype |
| parenting | phenotype |
| Peer relationships | phenotype |
| physical abuse | phenotype |
| Physical exercise local | phenotype |
| Polysubstance users local | phenotype |
| practitioners local | cohort |
| Prevention programming local | cohort |
| Property damage local | phenotype |
| Registry local | cohort |
| relationship status | phenotype |
| Risk information local | phenotype |
| risky drinking | phenotype |
| saliva | drug |
| sexual violence | phenotype |
| sleep | phenotype |
| Sleep disturbance | phenotype |
| Sociable temperament local | phenotype |
| Spit for Science | cohort |
| Spit for Science survey local | cohort |
| Student success local | phenotype |
| study cohort | cohort |
| Study disruption local | phenotype |
| substance use | phenotype |
| suicide | phenotype |
| tobacco use | phenotype |
| trauma | phenotype |
| type 1 diabetes | phenotype |
| Unwanted sexual encounters local | phenotype |
| Verbal violence local | phenotype |
| young adults | cohort |
No uploaded files.
Not in any collection.
| Citation | PMID | DOI | Status |
|---|---|---|---|
| AlievF.WetherillL.BierutL.BucholzK.EdenbergH.ForoudT. (2015). Genes associated with alcohol outcomes show enrichment of effects with broad externalizing and impulsivity phenotypes in an independent sample. J. Stud. Alcohol. Drugs 76, 38–46. 10.15288/jsad.2015.76.3825486392PMC4263779 | — | — | — |
| ArriaA. M.WilcoxH. C.CaldeiraK. M.VincentK. B.Garnier-KykstraL. M.O’gradyK. E. (2013). Dispelling the myth of “smart drugs”: cannabis and alcohol use problems predict nonmedical use of prescription stimulants for studying. Addict. Behav. 38, 1643–1650. 10.1016/j.addbeh.2012.10.00223254212PMC3558594 | — | — | — |
| BaborT. F.HofmannM.DelbocaF. K.HesselbrockV.MeyerR. E.DolinskyZ. S. (1992). Types of alcoholics, I. Evidence for an empirically derived typology based on indicators of vulnerability and severity. Arch. Gen. Psychiatry 49, 599. 10.1001/archpsyc.1992.018200800070021637250 | — | — | — |
| BarnettN. P.TevyawT. O.FrommeK.BosariB.CareyK. B.CorbinW. R. (2004). Brief alcohol interventions with mandated or adjudicated college students. Alcohol. Clin. Exp. Res. 28, 966–975. 10.1097/01.ALC.0000128231.97817.C715218881PMC2726616 | — | — | — |
| BosariB.CareyK. B. (2005). Two brief alcohol interventions for mandated college students. Psychol. Addict. Behav. 19, 296–302. 10.1037/0893-164X.19.3.29616187809PMC2663045 | — | — | — |
| BrodyG. H.BeachS. R. H.PhilibertR. A.ChenY. C.MurryV. M. (2009). Prevention effects moderate the association of the 5HTTLPR and youth risk behavior initiation: gene × environment hypotheses tested via randomized prevention design. Child Dev. 80, 645–661. 10.1111/j.1467-8624.2009.01288.x19489894 | — | — | — |
| ButlerD. (2008). Translational research: crossing the valley of death. Nature 453, 840–842. 10.1038/453840a18548043 | — | — | — |
| CaldieraK.KasperskiS. J.SharmaE.VincentK. B.O’gradyK. E.WishE. D. (2009). College students rarely seek help despire serious substance use problems. J. Subst. Abuse Treat. 37, 368–378. 10.1016/j.jsat.2009.04.00519553064PMC2783958 | — | — | — |
| CareyK. B.HensonJ. M.CareyM. P.MaistoS. A. (2009). Computer versus in-person intervention for students violating campus alcohol policy. J. Consult. Clin. Psychol. 77, 74–87. 10.1037/a001428119170455PMC2657221 | — | — | — |
| ChiauzziE.GreenT. C.LordS.ThumC.GoldsteinM. (2005). My student body: a high-risk drinking prevention web site for college students. J. Am. Coll. Health 53, 263–274. 10.3200/JACH.53.6.263-27415900990PMC1885481 | — | — | — |
| CloningerC. R.BohmanM.SigvardssonS. (1981). Inheritance of alcohol abuse. Cross-fostering analysis of adopted men. Arch. Gen. Psychiatry 38, 861. 10.1001/archpsyc.1981.017803300190017259422 | — | — | — |
| ConrodP. J.O’leary-BarrettM.NewtonN. C.TopperL.Castellanos-RyanN.MackieC. (2013). Effectiveness of a selective, personality-targeted prevention program for adolescent alcohol use and misuse. JAMA Psychiatry 70, 334–342. 10.1001/jamapsychiatry.2013.65123344135 | — | — | — |
| DickD. M.AlievF.LatendresseS. J.HickmanM.HeronJ.MacleodJ. (2013). Adolescent alcohol use is predicted by childhood temperament factors before age 5, with mediation through personality and peers. Alcohol. Clin. Exp. Res. 37, 2108–2117. 10.1111/acer.1220623841856PMC3823677 | — | — | — |
| DickD. M.LatendresseS. J.LansfordJ. E.BuddeJ. P.GoateA.DodgeK. A. (2009). Role of GABRA2 in trajectories of externalizing behavior across development and evidence of moderation by parental monitoring. Arch. Gen. Psychiatry 66, 649–657. 10.1001/archgenpsychiatry.2009.4819487630PMC2750080 | — | — | — |
| DickD. M.NasimA.EdwardsA. C.SalvatoreJ. E.ChoS. B.AdkinsA. (2014). Spit for science: launching a longitudinal study of genetic and environmental influences on substance use and emotional health at a large US university. Front. Genet. 5:47. 10.3389/fgene.2014.0004724639683PMC3944794 | — | — | — |
| GruberJ. (n.d.). UC Berkeley Adopts Controversial Genetic Testing Program. Genewatch [Online] Available at: http://www.councilforresponsiblegenetics.org/genewatch/GeneWatchPage.aspx?pageId=269 [accessed March 9, 2015]. | — | — | — |
| HeinzA.LberS.GeorgiA.WraseJ.HermannD.ReyE.-R. (2003). Reward craving and withdrawal relief craving: assessment of different motivational pathways to alcohol intake. Alcohol. Alcohol. 38, 35–39. 10.1093/alcalc/agg00512554605 | — | — | — |
| HingsonR. W.ZhaW.WeitzmanE. R. (2009). Magnitude of and trends in alcohol-related mortality and morbidity among U.S. college students ages 18–24, 1998–2005. J. Stud. Alcohol. Drugs Suppl. 16, 12–20. 10.15288/jsads.2009.s16.1219538908PMC2701090 | — | — | — |
| HuntJ.EisenergD. (2010). Mental health problems and help-seeking behavior among college students. J. Adolesc. Health 46, 3–10. 10.1016/j.jadohealth.2009.08.00820123251 | — | — | — |
| HussongA. M.JonesD. J.SteinG. L.BaucomD. H.BoedingS. (2011). An internalizing pathway to alcohol use and disorder. Psychol. Addict. Behav. 25, 390–404. 10.1037/a002451921823762PMC3178003 | — | — | — |
| HustadJ.BarnettN. P.BorsariB.JacksonK. M. (2010). Web-based alcohol prevention for incoming college students: a randomized controlled trial. Addict. Behav. 35, 183–189. 10.1016/j.addbeh.2009.10.01219900763PMC2815230 | — | — | — |
| JohnstonL. D.BachmanJ. G.O’malleyP. M. (2010). Monitoring the Future: Questionnaire Responses From the Nation’s High School Seniors, 2009. Ann Arbor, MI: Institute for social research. | — | — | — |
| KilmerJ. R.GeisnerI. M. (2013). “Substance use and mental health issues on the college campus,” in Principles of Addiction: Comprehensive Addictive Behaviors and Disorders, ed. MillerP. (London: Academic Press), 597–604. | — | — | — |
| KitzrowM. A. (2003). The mental health needs of today’s college students: challenges and recommendations. NASPA 41, 167–181 10.2202/1949-6605.1310 | — | — | — |
| KruegerR. F.HicksB. M.PatrickC. J.CarlsonS. R.IaconoW. G.McgueM. (2002). Etiologic connections among substance dependence, antisocial behavior, and personality: modeling the externalizing spectrum. J. Abnorm. Psychol. 111, 411–424. 10.1037/0021-843X.111.3.41112150417 | — | — | — |
| Lango AllenH.EstradaK.LettreG.BerndtS. I.WeedonM. N.RivadeneiraF. (2010). Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467, 832–838. 10.1038/nature0941020881960PMC2955183 | — | — | — |
| LarimerM. E.CronceJ. M. (2002). Identification, prevention and treatment: a review of individual-focuses strategies to reduce problematic alcohol consumption by college students. J. Stud. Alcohol. 32, 148–163. 10.15288/jsas.2002.s14.14812022721 | — | — | — |
| LeeC. M.NeighborsC.KilmerJ. R.LarimerM. E. (2010). A brief, web-based personalized feedback selective intervention for college student marijuana use: a randomized clinical trial. Psychol. Addict. Behav. 24, 265–273. 10.1037/a001885920565152PMC2891541 | — | — | — |
| MartinezJ. A.SherK.WoodP. K. (2008). Is heavy drinking really associated with attrition from college? The alcohol-attrition paradox. Psychol. Addict. Behav. 22, 450–456. 10.1037/0893-164X.22.3.45018778140PMC2673793 | — | — | — |
| NelsonT. F.ToomeyT.LenkK.EricksonD.WintersK. C. (2010). Implementation of NIAAA college drinking task force recommendations: how are colleges doing 6 years later? Alcohol. Clin. Exp. Res. 34, 1687–1693. 10.1111/j.1530-0277.2010.01268.x20626728 | — | — | — |
| O’Leary-BarretM.TopperL.Al-KhudhairyN.PihlR. O.Castellanos-RyanN.MackieC. (2013). Two-year impact of personality-targeted, teacher-delivered interventions on youth internalizing and externalizing problems: a cluster-randomized trial. J. Am. Acad. Child Adolesc. Psychiatry 52, 911–920. 10.1016/j.jaac.2013.05.02023972693 | — | — | — |
| RookeS.ThorsteinssonE.KarpinA.CopelandJ.AllsopD. (2010). Computer-delivered interventions for alcohol and tobacco use: a meta-analysis. Addiction 105, 1381–1390. 10.1111/j.1360-0443.2010.02975.x20528806 | — | — | — |
| SalvatoreJ.AlievF.EdwardsA.EvansD.MacleodJ.HickmanM. (2014). Polygenic scores predict alcohol problems in an independent sample and show moderation by the environment. Genes 5, 330–346. 10.3390/genes502033024727307PMC4094936 | — | — | — |
| SchuckitM. A.SmithT. L.DankoG. P.TrimR.BucholzK. K.EdenbergH. J. (2009). An evaluation of the full level of response to alcohol model of heavy drinking and problems in COGA offspring. J. Stud. Alcohol. Drugs 70, 436–445. 10.15288/jsad.2009.70.43619371495PMC2670749 | — | — | — |
| SchuckitM.KalmijnJ. A.SmithT. L.SaundersG.FrommeK. (2012). Structuring a college alcohol prevention program on the low level of response to alcohol model: a pilot study. Alcohol. Clin. Exp. Res. 36, 1244–1252. 10.1111/j.1530-0277.2011.01723.x22309202 | — | — | — |
| SherK.RutledgeP. C. (2007). Heavy drinking across the transition to college: predicting first-semester heavy drinking from precollege variables. Addict. Behav. 32, 819–335. 10.1016/j.addbeh.2006.06.02416860940PMC2674234 | — | — | — |
| Substance Abuse and Mental Health Services Administration. (2012). “Results from the 2011 National Survey on Drug Use and Health: Summary of National Findings,” in NSDUH Series H-44, HHS Publication No. (SMA) 12-4713, (Rockville, MD: Substance Abuse and Mental Health Services Administration). | — | — | — |
| TimberlakeD.HopferC. J.RheeS. H.FriedmanN. P.HaberstickB.LessemJ. M. (2007). College attendance and its effect on drinking behaviors in a longitudinal study of adolescents. Alcohol. Clin. Exp. Res. 31, 1020–1030. 10.1111/j.1530-0277.2007.00383.x17403064 | — | — | — |
| U.S. Food and Drug Administration. (2013). Inspections, Compliance, Enforcement, and Criminal Investigations. U.S. Department of Health and Human Services [Online] Available at: http://www.fda.gov/ICECI/EnforcementActions/WarningLetters/2013/ucm376296.htm [accessed March 9, 2015]. | — | — | — |
| VerhulstB.NealeM. C.KendlerK. S. (2015). The heritability of alcohol use disorders: a meta-analysis of twin and adoption studies. Psychol. Med. 45, 1061–1072. 10.1017/S003329171400216525171596PMC4345133 | — | — | — |
| VisscherP. M.BrownM. A.MccarthyM. I.YangJ. (2012). Five years of GWAS discovery. Am. J. Hum. Genet. 90, 7–24. 10.1016/j.ajhg.2011.11.02922243964PMC3257326 | — | — | — |
| WaltersS. T.NeighborsC. (2005). Feedback interventions for college alcohol misuse: what, why and for whom? Addict. Behav. 30, 1168–1182. 10.1016/j.addbeh.2004.12.00515925126PMC2459313 | — | — | — |
| WechslerH.LeeJ. E.KuoM.SeibringM.NelsonT. F.LeeH. (2002). Trends in college binge drinking during a period of increased prevention efforts: findings form 4 Harvard School of Public Health College Alcohol Study surveys: 1993-2001. J. Am. Coll. Health 50, 203–217. 10.1080/0744848020959571311990979 | — | — | — |
| WechslerH.NelsonT. (2008). What we have learned from the Harvard School of Public Health College Alcohol Study: focusing attention on college student alcohol consumption and the environmental conditions that promote it. J. Stud. Alcohol. Drugs 69, 481–490. 10.15288/jsad.2008.69.48118612562 | — | — | — |
| WhiteA. M.KrausC. L.SwartzwelderH. S. (2006). Many college freshmen drink at levels far beyond the binge threshold. Alcohol. Clin. Exp. Res. 30, 1006–1010. 10.1111/j.1530-0277.2006.00122.x16737459 | — | — | — |
| WintersK. C.ToomeyT.NelsonT. F.EricksonD.LenkK.MiazgaM. (2011). Screening for alcohol problems among 4-year colleges and universities. J. Am. Coll. Health 59, 350–357. 10.1080/07448481.2010.50938021500052PMC3086775 | — | — | — |
| YanJ.AlievF.WebbB. T.KendlerK. S.EdenbergH. J.AgrawalA. (2013). Using genetic information from candidate gene and genome wide association studies in risk prediction for alcohol dependence. Addict. Biol. 18, 708–721. 10.1111/adb.1203523362995PMC3664249 | — | — | — |
| YoungS. E.StallingsM. C.CorleyR. P.KrauterK. S.HewittJ. K. (2000). Genetic and environmental influences on behavioral disinhibition. Am. J. Med. Genet. 96, 684–695. 10.1002/1096-8628(20001009)96:5<684::AID-AJMG16>3.0.CO;2-G11054778 | — | — | — |
| ZuckerR. A. (2008). Anticipating problem alcohol use developmentally from childhood into middle adulthood: what have we learned. Addiction 103, 100–108. 10.1111/j.1360-0443.2008.02179.x18426543PMC2593849 | — | — | — |
In this knowledge base
| Title | Year | PMID |
|---|---|---|
| Post-GWAS in Psychiatric Genetics: A Developmental Perspective on the "Other" Next Steps. | 2018 | 29227573 |
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| College Students' Intentions to Seek Help for Alcohol Use: A Network-Informed Reasoned Action Approach. | Flores SA et al. | — | 2026 | → |
| College students mandated to substance use courses: Age-of-onset as a predictor of contemporary polysubstance use. | Montemayor BN et al. | — | 2024 | → |
| Genetically influenced externalizing and internalizing risk pathways as novel prevention targets. | Dick DM et al. | — | 2022 | → |
| E-cigarette use among young adults: A latent class analysis examining co-use and correlates of nicotine vaping. | Lanza HI et al. | — | 2020 | → |
| Unpacking Genetic Risk Pathways for College Student Alcohol Consumption: The Mediating Role of Impulsivity. | Ksinan AJ et al. | — | 2019 | → |
| A Genomically Informed Education System? Challenges for Behavioral Genetics. | Sabatello M | — | 2018 | → |
| Post-GWAS in Psychiatric Genetics: A Developmental Perspective on the "Other" Next Steps. | Dick DM et al. | — | 2018 | → |
| Alcohol-Impaired Driving: The Influence of Adverse Rearing Environments, Alcohol, Cannabis Use, and the Moderating Role of Anxiety. | Oshri A et al. | — | 2017 | → |
| Risk Factors for School Dropout in a Sample of Juvenile Offenders. | Fernández-Suárez A et al. | — | 2016 | → |
| The Genetics of Addiction: Where Do We Go From Here? | Dick DM | — | 2016 | → |