Efficacy of a Web-Based, Tailored, Alcohol Prevention/Intervention Program for College Students: Initial Findings

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

doi:10.1080/07448480903501178

Cited by 51 publications

(55 citation statements)

References 33 publications

(22 reference statements)

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“…Females were more likely to participate in this study (62.1%), however this is similar to other studies [38] and the disparity is not as large as another Australian university study targeting this age group (females 71%) [3]. Selective non-response may have biased these results however levels of alcohol consumption were similar to other studies of this cohort [3] [23] The response rate for this study was low (32.2%) however in their cross sectional study Rickwood and colleagues [3] reported a response rate of 12.9%.…”

Section: Limitationssupporting

confidence: 37%

Consequences of Low Risk and Hazardous Alcohol Consumption among University Students in Australia and Implications for Health Promotion Interventions

Burns

Crawford²,

Hallett³

et al. 2015

OJPM

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Background: Hazardous alcohol consumption and associated harms are high among young university students. The university environment is conducive to excessive alcohol consumption with studies finding young university students to drink alcohol at higher levels than their non-university peers. Methods: A random sample of 18 -24-year-old undergraduate, internal university students completed a survey (n = 2465) to investigate differences in self-reported personal, secondhand and witnessed alcohol-related harms, alcohol expectancies, pre-loading, and friends' alcohol consumption between low risk and hazardous drinkers. Univariate and multivariate analyses are reported. Results: Almost 40% of students who had consumed alcohol in the past year reported drinking at hazardous levels. Univariate analyses found students who reported hazardous drinking reported significantly higher scores relating to experienced, second-hand, witnessed and academic problems compared to low risk drinkers. Hazardous drinkers were also more likely to pre-load, to drink at higher levels when pre-loading, have more friends who drank alcohol, have more friends who drank at hazardous levels and to score higher on alcohol expectancies. However both low risk and hazardous drinkers experienced a range of harms due to their own drinking including hangover (71.2%), unprotected sex (19.3%), regretted sex (16.8%) and drink-driving (17%). Looking after an intoxicated student (34.3%) and witnessing someone pass out (37.5%) were issues for all drinkers. Experienced alcohol related harms, academic problems, alcohol expectancies, close friends' level of alcohol consumption, pre-loading in the last four weeks and level of consumption when pre-loading were predictors of hazardous drinking (p < S. Burns et al.2 0.001). Conclusion: Young undergraduate university students are at risk of a range of academic, social, emotional and physical harms associated with their own and other students' alcohol consumption. There is a need for integrated programs to address university drinking culture and effect positive changes.

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Section: Limitationssupporting

confidence: 37%

Consequences of Low Risk and Hazardous Alcohol Consumption among University Students in Australia and Implications for Health Promotion Interventions

Burns

Crawford²,

Hallett³

et al. 2015

OJPM

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“…Of the 100 included studies there were 62 (62%) randomized controlled trials [51–57, 59, 62–73, 75, 77, 78, 82, 84–86, 90, 92, 93, 96, 103, 105, 108, 109, 112, 113, 116, 118–120, 123–125, 127–131, 133–135, 138–140, 143–149], 16 (16%) case series [57, 60, 61, 74, 76, 80, 91, 94, 99–101, 110, 115, 117, 121, 136], 9 (9%) non-randomized controlled trials [87, 95, 98, 102, 104, 107, 122, 137, 141], 7 (7%) cluster randomized controlled trials [79, 81, 83, 111, 126, 132, 142], 4 (4%) cluster controlled studies [45, 88, 97, 114] and 2 (2%) interrupted time series [89, 106]. The number of papers for each study design and reported risk behaviour is provided in Table 3.…”

Section: Resultsmentioning

confidence: 99%

“…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%

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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“…14 In college populations, tailored interventions delivered via online platforms have been effective at improving health knowledge and behavior in other research areas. 15,16 Because an online intervention could potentially reach many women who otherwise may not receive health messaging related to HPV vaccination, in 2010 our team began developing a novel, online, highly tailored educational intervention for unvaccinated female college students.…”

Section: Introductionmentioning

confidence: 99%

Human Papillomavirus Vaccine Uptake After a Tailored, Online Educational Intervention for Female University Students: A Randomized Controlled Trial

Bennett

Patel

Carlos

et al. 2015

Journal of Women's Health

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Efficacy of a Web-Based, Tailored, Alcohol Prevention/Intervention Program for College Students: Initial Findings

Abstract: Web-based programs may be useful in reducing alcohol-related risk among college students. Further evaluation is needed.

Cited by 51 publications

References 33 publications

Consequences of Low Risk and Hazardous Alcohol Consumption among University Students in Australia and Implications for Health Promotion Interventions

Consequences of Low Risk and Hazardous Alcohol Consumption among University Students in Australia and Implications for Health Promotion Interventions

A scoping review of risk behaviour interventions in young men

Human Papillomavirus Vaccine Uptake After a Tailored, Online Educational Intervention for Female University Students: A Randomized Controlled Trial

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