Cited by 72Gambling Behavior and TreatmentsSubstance Abuse Treatment and OutcomesCrime Patterns and Interventions

Childhood impulsive behavior and problem gambling by adulthood: A 30-year prospective community-based study

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Shenassa, Edmond D., Paradis, Angela D., Dolan, Sara L., Wilhelm, Charlotte S., Buka, Stephen L.·2012·Addiction

Abstract

AIMS: Problem gambling can create major financial, emotional and sometimes criminal problems for an individual. This study prospectively investigated the association between impulsive behavior at age 7 and the development of life-time problem gambling by adulthood. We also examined the specificity of any observed association between impulsive behaviors and problem gambling by conducting parallel analyses examining the link between respondents' shy/depressed behavior in childhood and later problem gambling. DESIGN, SETTING AND PARTICIPANTS: Cohort study of 958 offspring of mothers enrolled in the Collaborative Perinatal Project who participated in an adult follow-up study at a mean age of 39.2 years. MEASUREMENTS: Multivariable logistic regression models were fitted to determine associations between psychologist-rated impulsive and shy/depressed behaviors at age 7 and life-time self-reported gambling as measured by the South Oaks Gambling Screen administered during the adult follow-up study. FINDINGS: Children who exhibited impulsive behaviors at age 7, compared to their non-impulsive counterparts, were 3.09 (95% confidence interval: 1.40-6.82) times as likely to report problem gambling years later. In contrast, we did not find a significant association between childhood shy/depressed behavior and problem gambling by adulthood in adjusted analyses. CONCLUSIONS: Impulsive behaviors at age 7 are a specific and significant risk factor for later problem gambling.

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Crossref · 10.1111/j.1360-0443.2011.03571.x

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  • The similarity in risk factors between problem behaviours highlights the need for global prevention efforts that target multiple problem behaviours, not just problem gambling.

    “Regardless of their mechanisms, the similarity in risk factors between these problem behaviours highlight the need for global prevention efforts that target multiple problem behaviours, not just problem gambling (Scholes-Balog et al., 2014;Shenassa et al., 2012;Vitaro et al., 2001;Winters et al., 1995;Winters et al., 2002).”

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Authors
Shenassa, E. D., Paradis, A. D., Dolan, S. L., Wilhelm, C. S., & Buka, S. L.
Affiliations
  • Brown University (US)
  • Harvard University (US)
  • Baylor University (US)
Corresponding author
Shenassa, Edmond D.
Venue
Addiction
Publisher
Wiley
Published
2011-10-12
Volume
107
Issue
1
Pages
160-168
ISSN
  • 0965-2140 (ISSN-L)
  • 1360-0443
OpenAlex
W1594825191
Cited by
72
References
49
Citations by year
2025: 3 · 2024: 1 · 2023: 2 · 2022: 1 · 2021: 13 · 2020: 4 · 2019: 2 · 2018: 9 · 2017: 6 · 2016: 6 · 2015: 13 · 2014: 6 · 2013: 2 · 2012: 3
FWCI
3.80
Type
journal article
Language
en
Open access
Locations
  • Addiction (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
Funders
  • Robert Wood Johnson Foundation
  • National Institutes of Health
  • U.S. Public Health Service (R40 MC03600)
  • National Institute of Mental Health (T32 MH 17119, T32MH017119)
  • National Institute on Drug Abuse
  • National Cancer Institute (P50CA084719)
  • Maternal and Child Health Bureau
Topics
  • Social Sciences › Psychology › Clinical Psychology › Gambling Behavior and Treatments
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
  • Social Sciences › Sociology and Political Science › Crime Patterns and Interventions
Keywords
problem gambling, impulsive behavior, early childhood behavior, Collaborative Perinatal Project, South Oaks Gambling Screen
MeSH terms
Adolescent, Adult, Child, Child Behavior, Child, Preschool, Data Interpretation, Statistical, Depression, Female, Gambling, Humans, Impulsive Behavior, Male, New England, Personality, Pregnancy, Risk Factors, Shyness, Socioeconomic Factors, Cohort Studies, Logistic Models, Young Adult

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