A developmental study of heavy episodic drinking among college students: the role of psychosocial and behavioral protective and risk factors.
Abstract
OBJECTIVE: A theory-based protection/risk model was applied to explain variation in college students' heavy episodic drinking. Key aims were (1) to establish that psychosocial and behavioral protective factors and risk factors can account for cross-sectional and developmental variation in heavy episodic drinking, and (2) to examine whether protection moderates the impact of risk on heavy episodic drinking. METHOD: Random- and fixed-effects maximum likelihood regression analyses were used to examine data from a three-wave longitudinal study. Data were collected in fall of 2002, spring of 2003, and spring of 2004 from college students (N=975; 548 men) who were first-semester freshmen at Wave 1. RESULTS: Psychosocial and behavioral protective and risk factors accounted for substantial variation in college-student heavy episodic drinking, and protection moderated the impact of risk. Findings held for both genders and were consistent across the three separate waves of data. Key predictors of heavy episodic drinking were social and individual controls protection (e.g., parental sanctions for transgression and attitudinal intolerance of deviance, respectively); models risk (peer models for substance use); behavioral protection (attendance at religious services); and behavioral risk (cigarette smoking and marijuana use). Changes in controls protection, models risk, and opportunity risk were associated with change in heavy episodic drinking. CONCLUSIONS: An explanatory model based on both psychosocial and behavioral protective and risk factors was effective in accounting for variation in college-student heavy episodic drinking. A useful heuristic was demonstrated through the articulation of models, controls, support, opportunity, and vulnerability to characterize the social context, and of controls, vulnerability, and other behaviors to characterize individuals.
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Other longitudinal findings demonstrated that religious coping, church attendance, high religiosity, and high or increasing RS in an inpatient population predict lower or decreasing substance use rates.
“Other longitudinal findings demonstrated that religious coping (Brechting & Giancola, 2007), church attendance (Jessor et al., 2006), high religiosity (White et al., 2006), and high or increasing RS in an inpatient population (Conner et al., 2009) predict lower or decreasing substance use rates.”
From Advancing our understanding of religion and spirituality in the context of behavioral medicine (2017) · cites this paper as Jessor et al., 2006
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- Authors
- Jessor, R., Costa, F. M., Krueger, P. M., & Turbin, M. S.
- Affiliations
- University of Colorado Boulder (US)
- Venue
- Journal of Studies on Alcohol
- Publisher
- Alcohol Research Documentation, Inc.
- Published
- 2006-01
- Volume
- 67
- Issue
- 1
- Pages
- 86-94
- ISSN
- 0096-882X (ISSN-L)
- 1934-2683
- OpenAlex
- W1981889915
- Cited by
- 93
- References
- 64
- Citations by year
- 2025: 4 · 2024: 2 · 2023: 6 · 2022: 2 · 2021: 1 · 2020: 4 · 2019: 2 · 2018: 4 · 2017: 8 · 2016: 5 · 2015: 5 · 2014: 7 · 2013: 5 · 2012: 4
- FWCI
- 4.13
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Studies on Alcohol (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Social Sciences › Sociology and Political Science › Crime Patterns and Interventions
- Health Sciences › Health Professions › General Health Professions › Health and Lifestyle Studies
- Keywords
- binge drinking, university students, protective factors, risk factors, psychosocial factors, behavioral factors, religious service attendance, cigarette smoking, cannabis use, moderation, developmental changes, gender differences
- MeSH terms
- Alcohol Drinking, Cross-Sectional Studies, Female, Follow-Up Studies, Humans, Male, Psychological Theory, Psychology, Surveys and Questionnaires, Risk Factors, Students, Time Factors, Universities, Incidence, Prevalence, Disease Progression
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