Efficacy of a Web-Based, Tailored, Alcohol Prevention/Intervention Program for College Students: 3-Month Follow-up

Bingham, C. Raymond; Barretto, Andrea Ippel; Walton, Maureen A.; Bryant, Christopher M.; Shope, Jean T.; Raghunathan, Trivellore E.

doi:10.2190/de.41.4.e

Cited by 31 publications

(23 citation statements)

References 46 publications

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“…Other prevalent settings included military/army (n = 11, 11%) [52, 60, 61, 69, 71, 72, 104, 110, 119, 127, 128] and internet (n = 8, 8%) [45, 85, 92, 113, 132, 139, 148, 149]. Five studies (5%) were delivered in multiple settings [83, 111, 120, 122, 145].…”

Section: Resultsmentioning

confidence: 99%

“…Other modes included online (n = 8, 8%) [45, 52, 85, 113, 132, 139, 148, 149], paper (n = 5, 5%) [137, 138, 140, 142, 143], TV/video/DVD (n = 2, 2%) [92, 93] and a social marketing campaign (n = 1, 1%) [106]. Many studies (n = 13, 13%) implemented multi-faceted intervention modes [59, 83, 95, 111, 115, 116, 118–120, 122, 131, 141, 145].…”

Section: Resultsmentioning

confidence: 99%

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A scoping review of risk behaviour interventions in young men

et al. 2014

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BackgroundYoung adult males commonly engage in risky behaviours placing them at risk of acute and chronic health conditions. The purpose of this scoping review was to provide an overview of existing literature, describing the interventions targeting risk behaviours in young adult males.MethodsA search of seven electronic databases, grey literature and relevant journals reported in English language until May 2013 was conducted. All interventions that promoted healthy behaviours or reductions in risky behaviours to treat or prevent an associated health issue(s) in young adult males (17-35 years) in upper-middle and high-income countries were included. For inclusion the appropriate age range had to be reported and the sample had to be young adult male participants only or the outcomes reported with stratification by age and/or sex to include young adult males. Risk behaviours included: physical inactivity, poor diet, alcohol use, tobacco smoking, recreational drug use, unsafe sexual behaviours, tanning/sun exposure, violence, unsafe vehicle driving, gambling and self-harm.ResultsThe search strategy identified 16,739 unique citations and the full-text of 1149 studies were retrieved and screened with 100 included studies focussed on: physical inactivity (27%), alcohol use (25%), unsafe sexual behaviour (21%), poor diet (5%), unsafe vehicle driving (5%), tobacco smoking (4%), recreational drug use (2%), and tanning/sun exposure (1%) with no relevant studies targeting violence, gambling or self-harm. Also 10% of the studies targeted multiple risk behaviours. The most common study design was randomized controlled trials (62%). Face-to-face was the most common form of intervention delivery (71%) and the majority were conducted in university/college settings (46%). There were 46 studies (46%) that included young adult male participants only, the remaining studies reported outcomes stratified by age and/or sex.ConclusionRisk behaviours in young men have been targeted to some extent, but the amount of research varies across risk behaviours. There is a need for more targeted and tailored interventions that seek to promote healthy behaviours or decrease risky behaviours in young men.Electronic supplementary materialThe online version of this article (doi:10.1186/1471-2458-14-957) contains supplementary material, which is available to authorized users.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

A scoping review of risk behaviour interventions in young men

et al. 2014

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“…25 Conclusions regarding BIs efficacy vary based on substance, problem severity, setting, and delivery mechanism. For example, a universal prevention focused, computerized, alcohol BI among college freshman showed greater effects for non-drinkers than low risk drinkers; 30 however, other studies have found greater effects for selective or indicated prevention samples (substance users) than universal prevention samples. 43 Further, a recent review concluded TBIs were more effective than CBIs among college students who misused alcohol.…”

Section: Discussionmentioning

confidence: 96%

“…Although such studies are lacking among adolescents in primary care, among adolescents in the ED 29 and college students, 30,31 universal prevention focused, computer delivered alcohol BIs are effective in the short term and/or with at-risk subgroups of participants. A prior manuscript from the study described in this paper examining cannabis users showed that a selective computer BI decreased other drug use and cannabis-related consequences but not cannabis use.…”

Section: Introductionmentioning

confidence: 99%

A randomized controlled trial testing the efficacy of a brief cannabis universal prevention program among adolescents in primary care

et al. 2014

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Aims To examine the efficacy of a brief intervention delivered by a therapist (TBI) or a computer (CBI), in preventing cannabis use among adolescents in urban primary care clinics. Design A randomized controlled trial comparing: CBI and TBI versus control. Setting Urban primary care clinics in the United States. Participants Research staff recruited 714 adolescents (ages 12-18) who reported no lifetime cannabis use on a screening survey for this study, which included a baseline survey, randomization (stratified by gender and grade) to conditions (control; CBI; TBI), and 3, 6, and 12 month assessments. Measurements Using an intent to treat approach, primary outcomes were cannabis use (any, frequency); secondary outcomes included frequency of other drug use, severity of alcohol use, and frequency of delinquency (among 85% completing follow-ups). Findings Compared with controls, CBI participants had significantly lower rates of any cannabis use over 12 months (24.2%, 16.8%, respectively, p<.05), frequency of cannabis use at 3 and 6 months (p<.05) and other drug use at 3 months (p<.01). Compared with controls, TBI participants did not differ in cannabis use or frequency, but had significantly less other drug use at 3 months (p<.05), alcohol use at 6 months (p<.01), and delinquency at 3 months (p<.01). Conclusions Among adolescents in urban primary care in the United States, a computer brief intervention appeared to prevent and reduce cannabis use. Both computer and therapist delivered brief interventions appeared to have small effects in reducing other risk behaviors, but these dissipated over time.

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“…Most provide information to improve knowledge about substance use as well as interactive activities or videos that provide opportunities for participants to practice skills. In general, Web-based prevention programs were found to be more effective with youth at higher risk for alcohol abuse (Bingham et al 2011;Moore et al 2005;Doumas and Andersen 2009;Neighbors et al 2010).…”

Section: Web-based and Web-enhanced Technologiesmentioning

confidence: 99%

E-Therapy for Substance Abuse and Co-Morbidity

Wodarski¹,

Curtis²

2015

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Efficacy of a Web-Based, Tailored, Alcohol Prevention/Intervention Program for College Students: 3-Month Follow-up

Cited by 31 publications

References 46 publications

A scoping review of risk behaviour interventions in young men

A scoping review of risk behaviour interventions in young men

A randomized controlled trial testing the efficacy of a brief cannabis universal prevention program among adolescents in primary care

E-Therapy for Substance Abuse and Co-Morbidity

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