The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Randomized Controlled Trial of Proactive Web-Based Alcohol Screening and Brief Intervention for University Students
Open accessAbstract
BACKGROUND: University students drink more heavily than their nonstudent peers and are often unaware that their drinking is risky and exceeds normative levels. We tested the efficacy of a proactive Web-based alcohol screening and brief intervention program. METHODS: A randomized controlled trial was conducted at an Australian university in 2007. Invitations were sent to 13 000 undergraduates (age range, 17-24 years) to complete a Web-based Alcohol Use Disorders Identification Test. Of 7237 students who responded, 2435 scored in the hazardous/harmful range (> or =8) and were randomized, and 2050 (84%) completed at least 1 follow-up assessment. Intervention was 10 minutes of Web-based motivational assessment and personalized feedback. Controls received only screening. Follow-up assessments were conducted at 1 and 6 months with observers and participants blinded to allocation. Outcome measures were drinking frequency, typical occasion quantity, overall volume, number of personal problems, an academic problems score, prevalence of binge drinking, and prevalence of heavy drinking. RESULTS: Mean (SD) baseline Alcohol Use Disorders Identification Test scores for control and intervention groups were 14.3 (5.1) and 14.2 (5.1), respectively. After 1 month, participants receiving intervention drank less often (rate ratio [RR], 0.89; 95% confidence interval [CI], 0.83-0.94), smaller quantities per occasion (RR, 0.93; 95% CI, 0.88-0.98), and less alcohol overall (RR, 0.83; 95% CI, 0.78-0.90) than did controls. Differences in alcohol-related harms were nonsignificant. At 6 months, intervention effects persisted for drinking frequency (RR, 0.91; 95% CI, 0.85-0.97) and overall volume (RR, 0.89; 95% CI, 0.82-0.96) but not for other variables. CONCLUSION: Proactive Web-based screening and intervention reduces drinking in undergraduates, and such a program could be implemented widely.
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“International studies have shown a significant reduction in the practice of BD in university students after six months of personalized normative feedback via the Internet 18 , 19 .”
From Efetividade de uma intervenção digital na diminuição da prática de binge drinking entre frequentadores de baladas (2018) · cites this paper as [19]
Citations
Cites
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Effectiveness of brief alcohol interventions in primary care populations
Kaner, E. F., Beyer, F. R., Muirhead, C., Campbell, F., Pienaar, E. D., Bertholet, N., Daeppen, J. B., Saunders, J. B., & Burnand, B. (2018) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd004148.pub4 · Cited by 1,665
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Brief alcohol interventions for adolescents and young adults: A systematic review and meta-analysis
Tanner-Smith, E. E., & Lipsey, M. W. (2015) · Journal of Substance Abuse Treatment · doi:10.1016/j.jsat.2014.09.001 · Cited by 468
Kaner, E. F., Beyer, F. R., Garnett, C., Crane, D., Brown, J., Muirhead, C., Redmore, J., O'Donnell, A., Newham, J. J., de Vocht, F., et al. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd011479.pub2 · Cited by 308
Jones, A., Lemma, L. C. G. D., Robinson, E., Christiansen, P., Nevitt, S. J., Smith, C. T., & Field, M. (2015) · Appetite · doi:10.1016/j.appet.2015.11.013 · Cited by 343
“Two studies (reported in one paper) compared ICT to one session of implementation intentions (Gollwitzer& Sheeran, 2006), one study compared ICT to cue avoidance training (Wiers, Eberl, Rinck, Becker, & Lindenmeyer, 2011), and another study compared ICT to a brief intervention for heavy drinkers (Kypri et al., 2009).”
BackgroundResultInfluentialOnline Alcohol Interventions: A Systematic Review
White, A., Kavanagh, D., Stallman, H., Klein, B., Kay-Lambkin, F., Proudfoot, J., Drennan, J., Connor, J., Baker, A., Hines, E., et al. (2010) · Journal of Medical Internet Research · doi:10.2196/jmir.1479 · Cited by 305
“5 | e62 | p. 5http://www.jmir.org/2010/5/e62/ (page number not for citation purposes) XSL•FO RenderX Percent Female Gender Age Reported Mean (SD) and/or Range (Years) Description and Size of Control Group Description and Size of Intervention Group Recruitment PoolAuthor 52Mean 20.1 (SD 2.2), 17 to 29 Information pamph…”
BackgroundInfluentialDempsey, R. C., McAlaney, J., & Bewick, B. M. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.02180 · Cited by 266
Metadata
- Authors
- Kypri, K.
- Affiliations
- University of Newcastle Australia (AU)
- Corresponding author
- Kypri, Kypros
- ORCID
- Kypri, Kypros
- Venue
- Archives of Internal Medicine
- Publisher
- American Medical Association (AMA)
- Published
- 2009-09-12
- Volume
- 169
- Issue
- 16
- Pages
- 1508
- ISSN
- 0003-9926 (ISSN-L)
- OpenAlex
- W2151235672
- Cited by
- 170
- References
- 34
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 6 · 2023: 4 · 2022: 5 · 2021: 7 · 2020: 2 · 2019: 5 · 2018: 13 · 2017: 12 · 2016: 15 · 2015: 17 · 2014: 18 · 2013: 20 · 2012: 18
- FWCI
- 9.57
- Type
- journal article
- Language
- en
- Open access
- green
- figshare.com
- Licence
- cc-by
- Locations
- Archives of Internal Medicine (publishedVersion)
- PubMed (publishedVersion)
- eSpace (Curtin University) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Swinburne figshare (Swinburne University of Technology) (submittedVersion)
- Funders
- Healthway (15166)
- Topics
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Health Sciences › Medicine › Pathology and Forensic Medicine › Alcohol Consumption and Health Effects
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Keywords
- alcohol screening, brief intervention, online intervention, university students, binge drinking, heavy drinking, alcoholism, personalized feedback, alcohol-related harm
- MeSH terms
- Adolescent, Alcohol Drinking, Female, Humans, Male, Mass Screening, Random Allocation, Students, Universities, Western Australia, Internet, Young Adult
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