Prevention of risky drinking among university students. A study of the effectiveness of a mail-based computerized screening and personalised feedback in three universities in Sweden ? the AMADEUS 2 study

2013 ◽  
Author(s):  
Preben Bendtsen
10.2196/14419 ◽  
2019 ◽  
Vol 21 (11) ◽  
pp. e14419 ◽  
Author(s):  
Marcus Bendtsen

Background Almost a decade ago, Sweden became the first country to implement a national system enabling student health care centers across all universities to routinely administer (via email) an electronic alcohol screening and brief intervention to their students. The Alcohol email assessment and feedback study dismantling effectiveness for university students (AMADEUS-1) trial aimed to assess the effect of the student health care centers’ routine practices by exploiting the lack of any standard timing for the email invitation and by masking trial participation from students. The original analyses adopted the conventional null hypothesis framework, and the results were consistently in the expected direction. However, since for some tests the P values did not pass the conventional .05 threshold, some of the analyses were necessarily inconclusive. Objective The outcomes of the AMADEUS-1 trial were derived from the first 3 items of the Alcohol Use Disorders Identification Test (AUDIT-C). The aim of this paper was to reanalyze the two primary outcomes of the AMADEUS-1 trial (AUDIT-C scores and prevalence of risky drinking), using the same models used in the original publication but applying a Bayesian inference framework and interpretation. Methods The same regression models used in the original analysis were employed in this reanalysis (linear and logistic regression). Model parameters were given uniform priors. Markov chain Monte Carlo was used for Bayesian inference, and posterior probabilities were calculated for prespecified thresholds of interest. Results Where the null hypothesis tests showed inconclusive results, the Bayesian analysis showed that offering an intervention at baseline was preferable compared to offering nothing. At follow-up, the probability of a lower AUDIT-C score among those who had been offered an intervention at baseline was greater than 95%, as was the case when comparing the prevalence of risky drinking. Conclusions The Bayesian analysis allows for a more consistent perspective of the data collected in the trial, since dichotomization of evidence is not looked for at some arbitrary threshold. Results are presented that represent the data collected in the trial rather than trying to make conclusions about the existence of a population effect. Thus, policy makers can think about the value of keeping the national system without having to navigate the treacherous landscape of statistical significance. Trial Registration ISRCTN Registry ISRCTN28328154; http://www.isrctn.com/ISRCTN28328154


2016 ◽  
Vol 3 (2) ◽  
pp. 166-174 ◽  
Author(s):  
Anne H. Berman ◽  
Mikael Gajecki ◽  
Kristina Sinadinovic ◽  
Claes Andersson

2011 ◽  
Vol 36 (6) ◽  
pp. 654-659 ◽  
Author(s):  
Diana Stark Ekman ◽  
Agneta Andersson ◽  
Per Nilsen ◽  
Henriettae Ståhlbrandt ◽  
Anne Lie Johansson ◽  
...  

2021 ◽  
Author(s):  
Genevieve Dingle

This is a summary report of survey data from two cohorts of first year university students at a metropolitan university in Australia: 2019 (i.e., pre-COVID-19) and in 2020 (during the first wave of COVID-19). The results show clear detrimental impact of COVID-19 on multiple measures of stress, mental health and wellbeing, loneliness. The only measure that did not worsen was risky drinking. A sense of belonging to the university and the use of coping strategies were associated with better mental health.


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