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Background and aims: Unhealthy alcohol use is common and causes tremendous harm. Most people with unhealthy alcohol use will never seek formal alcohol treatment. As an alternative, smartphone apps have been developed as one means to provide help to people concerned about their alcohol use. The aim of this study was to test the efficacy of a smartphone app targeting unhealthy alcohol consumption in a general population sample. Methods: Participants were recruited from across Canada using online advertisements. Eligible participants who consented to the trial were asked to download a research-specific version of the app and were provided with a code that unlocked it (a different code for each participant to prevent sharing). Those who entered the code were randomized to one of two different versions of the app: 1) the Full app containing all intervention modules; or 2) the Educational only app, containing only the educational content of the app. Participants were followed-up at 6 months. The primary outcome variable was number of standard drinks in a typical week. Secondary outcome variables were frequency of heavy drinking days and experience of alcohol-related problems. Results: A total of 761 participants were randomized to a condition. The follow-up rate was 81 %. A generalized linear mixed model revealed that participants receiving the full app reduced their typical weekly alcohol consumption to a greater extent than participants receiving the educational only app (incidence rate ratio 0.89; 95 % confidence interval 0.80 to 0.98). No significant differences were observed in the secondary outcome variables (p > .05). Discussion and conclusion: The results of this trial provide some supportive evidence that smartphone apps can reduce unhealthy alcohol consumption. As this is the second randomized controlled trial demonstrating an impact of this same app (the first one targeted unhealthy alcohol use in university students), increased confidence is placed on the potential effectiveness of the smartphone app employed in the current trial.ClinicalTrials.org number: NCT04745325

Introduction: This study examines normative misperceptions in a sample of participants recruited for a brief intervention trial targeting risky cannabis use. Methods: Participants who were concerned about their own risky cannabis use were recruited to help develop and evaluate intervention materials. At baseline, participants reported on their own cannabis use and provided estimates of how often others their gender and age used cannabis in the past 3 months. Comparisons were made between participants estimates of others cannabis use with reports of cannabis use obtained from a general population survey conducted during a similar time period. Results: Participants (N = 744, mean age = 35.8, 56.2% identified as female) largely reported daily or almost daily cannabis use (82.4%). Roughly half (55.3%) of participants estimated that others their age and gender used cannabis weekly or more often in the past 3 months, whereas the majority of people in the general population reported not using cannabis at all. Conclusions: Normative misperceptions about cannabis use were common in this sample of people with risky cannabis use. Limitations and possible future directions of this research are discussed, as well as the potential for targeting these misperceptions in interventions designed to motivate reductions in cannabis use. ClinicalTrials.org number: NCT04060602

BackgroundDespite considerable efforts devoted to the development of prevention interventions aiming at reducing unhealthy alcohol use in tertiary students, their delivery remains often challenging. Interventions including information technology are promising given their potential to reach large parts of the population. ObjectiveThis study aims to develop a secondary prevention smartphone app with an iterative qualitative design involving the target population. MethodsThe app development process included testing a first prototype and a second prototype, developed based on the results of 2 consecutive qualitative assessments. Participants (aged ≥18 years, screened positive for unhealthy alcohol use) were students from 4 tertiary education institutions in the French-speaking part of Switzerland. Participants tested prototype 1 or prototype 2 or both and provided feedback in 1-to-1 semistructured interviews after 2-3 weeks of testing. ResultsThe mean age of the participants was 23.3 years. A total of 9 students (4/9 female) tested prototype 1 and participated in qualitative interviews. A total of 11 students (6/11 female) tested prototype 2 (6 who tested prototype 1 and 5 new) and participated in semistructured interviews. Content analysis identified 6 main themes: “General Acceptance of the App,” “Importance of the Targeted and Relevant App Content,” “Importance of Credibility,” “Importance of the App Usability,” “Importance of a Simple and Attractive Design,” “Importance of Notifications to Ensure App Use over Time.” Besides a general acceptance of the app, these themes reflected participants’ recommendations toward increased usability; to improve the design; to include useful and rewarding contents; to make the app look serious and credible; and to add notifications to ensure its use over time. A total of 11 students tested prototype 2 (6 who tested prototype 1 and 5 new) and participated in semistructured interviews. The 6 same themes emerged from the analysis. Participants from phase 1 generally found the design and content of the app improved. ConclusionsStudents recommend prevention smartphone apps to be easy to use, useful, rewarding, serious, and credible. These findings may be important to consider when developing prevention smartphone apps to increase the likelihood of app use over time. Trial RegistrationISRCTN registry 10007691; https://www.isrctn.com/ISRCTN10007691 International Registered Report Identifier (IRRID)RR2-10.1186/s13063-020-4145-2

BackgroundSubstance-induced consciousness alterations (CA) have mainly been studied among users of psychedelics but not among people using street drugs.AimsExplore occurrences of three different types of substance-induced CA [ego dissolution (ED), visual pseudo-hallucinations (VPH), anxiety/paranoia (A/P)] and their perceived influences on life, together with their associations with substance use and personality correlates in a general population sample of 25-year-old men.Methods2,796 young Swiss men lifetime substance users completed a self-report questionnaire including history of use (never, former, and current) of different substances categories (psychedelics, cocaine, psychostimulants, ecstasy, MDMA, and other drugs), substance-induced ego dissolution (ED), visual pseudo-hallucinations (VPH) and anxiety/paranoia (A/P), the influence of these CA experiences on life, and personality traits (sensation seeking, sociability, anxiety-neuroticism, and aggression–hostility).Results32.2% reported at least one CA (i.e., ED, VPH or A/P), with 20.5% reporting ED, 16.7% VPH, and 14.6% A/P. Former and current use of psychedelics and ketamine was significantly associated with occurrences of all three types of CAs and with a positive influence of CA on life. Associations between the former and current use of other substances and the different types of CA were less consistent, and perceived influences on life were not statistically significant. Sociability was negatively associated with occurrences of all three types of CA. Positive associations were found between anxiety–neuroticism and ED and A/P, between aggression–hostility and A/P, and between sensation seeking and ED and VPH.ConclusionThis study supports the potential for psychedelics to induce CAs perceived as beneficial to life among people using street drugs, possibly reflecting the mechanism underlying the therapeutic potential of psychedelics.

Abstract Background Information technology can be used to advance addiction science and clinical practice. Main body This special issue, “Information technology (IT) interventions to advance treatment for opioid and other addictions” presents studies that expand our understanding of IT intervention efficacy, patients’ perspectives, and how IT can be used to improve substance use health care and research. This editorial introduces the topics addressed in the special issue and focuses on some of the challenges that the field is currently facing, such as attrition and treatment retention, transferability of intervention paradigms, and the challenge to keep pace with rapidly changing technologies. Conclusions Increasing treatment reach is particularly crucial in the addiction field. IT empowers researchers and clinicians to reach large portions of the population who might not otherwise access standard treatment modalities, because of geographical limitations, logistical constraints, stigma, or other reasons. The use of information technology may help reduce the substance use treatment gap and contribute to public health efforts to diminish the impact of substance use and other addictive behaviors on population health.

Abstract Background Unhealthy alcohol use is a leading cause of morbidity and mortality among young people, including university students. Delivering secondary prevention interventions against unhealthy alcohol use is challenging. Information technology has the potential to reach large parts of the general population. The present study is proposed to test a proactive secondary prevention smartphone-based intervention against unhealthy alcohol use. Methods This is a parallel-group, randomized controlled trial (1:1 allocation ratio) among 1696 university students with unhealthy alcohol use, identified by screening and followed up at 3, 6, and 12 months. Participants will be randomized to receive access to a smartphone-based intervention or to a no intervention control condition. The primary outcome will be self-reported volume of alcohol drunk over the past 30 days, reported as the mean number of standard drinks per week over the past 30 days, measured at 6 months. Secondary outcomes will be number of heavy drinking days over the past 30 days, at 6 months. Additional outcomes will be maximum number of drinks on any day over the past 30 days, alcohol-related consequences (measured using the Short Inventory of Problems (SIP-2R), and academic performance. Discussion The aim of this trial is to close the evidence gap on the efficacy of smartphone-based secondary prevention interventions. If proven effective, smartphone-based interventions have the potential to reach a large portion of the population, completing what is available on the Internet. Trial registration ISRCTN, 10007691. Registered on 2 December 2019. Recruitment will start in April 2020.

AIMS OF THE STUDY: In Switzerland, there has been a boom in the market for cannabidiol (CBD) products in recent years. However, little is known on the prevalence, modes of administration and motives for use of CBD products. The aim of the present study was to fill this gap using recent (2019) data from the Cohort Study on Substance Use Risk Factors (C-SURF). METHODS: Between April and December 2019, an unselected sample of 5233 Swiss young men from the French- and German-speaking regions (mean age 28.2 years, standard deviation 1.3) completed a self-report questionnaire covering measures of use of CBD products, modes of administration and motives to use of CBD, tetrahydrocannabinol (THC) and cigarettes. Descriptive statistics were used to estimate prevalence of self-reported use, modes of administration and motives to use CBD, whereas logistic regression models were used to test the associations of linguistic region, THC and tobacco use with use of CBD. RESULTS: Lifetime and 12-month prevalence of self-reported use of CBD were 32.4% and 18.5%, respectively. Among past 12-month CBD users, 79.4% used CBD once a month or less often, whereas 20.6% used it more than once a month. The most often reported modes of administration of CBD were in association with tobacco: flowers mixed with tobacco (67.5%), and CBD cigarettes with tobacco (37.1%), while 18.6% used flowers without tobacco. The three most reported reasons for using CBD were: out of curiosity (74.0%), to feel the effects of THC (38.1%) and for well-being and health (37.5%). In multivariable models, CBD use was associated with use of THC (odds ratio [OR] 9.85, 95% confidence interval [CI] 8.28–11.73), cigarettes (OR 2.74, 95% CI 2.28–3.29) or e-cigarettes (OR 1.5795% CI 1.27–1.95), as well as for the linguistic region (French-speaking vs German-speaking region OR 1.3895% CI 1.15–1.65). CONCLUSIONS: Self-reported use of CBD is common among young Swiss men: about one third used CBD in their life and about one in five in the previous 12 months. However, the vast majority of CBD users used it infrequently and out of curiosity. CBD use was particularly prevalent among users of THC and cigarette smokers. CBD was most often used in combination with tobacco, thus exposing users to risks associated with smoking tobacco products.

Background and aims: Given the widespread use of cannabis, and the concomitant risks associated with the drug, there is a need to increase the availability of interventions designed to reduce risky cannabis use. One promising intervention in the addictions employs personalized normative feedback to motivate change. Methods: A two-arm randomized controlled trial (RCT) was conducted in which participants who used cannabis in a risky fashion were randomly assigned to one of two groups – those who received an online personalized feedback report in addition to educational materials about risky cannabis use and those who just received the online educational materials. Follow-up assessment occurred at three- and six-months post-randomization. Outcome variables included: number of days cannabis was used in the past 30, risky cannabis use (ASSIST score of four or more), and participant estimates of the proportion of cannabis users among those of the same age and gender. Results: A total of 744 participants with risky cannabis use were recruited for the trial using online advertisements. There were no significant differences between intervention and educational materials only groups at three- and six-month follow-ups for the outcome variables, number of days used cannabis in the last 30 (p = 0.927) and proportion of participants engaging in risky cannabis use (p = 0.557). At three and six month follow-ups, participants who received the feedback intervention were more likely than those in the educational materials group to estimate that a larger proportion of people their age and gender did not use cannabis in the last year (p = 0.028). Discussion and conclusion: While there was some evidence that the personalized feedback intervention modified normative perceptions about cannabis use, there did not appear to be support for the prediction that the intervention reduced cannabis consumption.

Background: The COVID-19 pandemic and its countermeasures may have had a significant impact on the psychological well-being of specific population subgroups. The present study investigated whether sexual minority men (defined here as attracted partly or exclusively to men) from an ongoing cohort study of young Swiss men experienced different psychological impacts, levels of substance use and addictive behaviors, and to which degree pre-existing vulnerabilities and participants experiences during the crisis might explain these differences.Methods: An ongoing cohort sample based on the general population of young Swiss men (mean age = 29.07 years; SD = 1.27) was assessed before and during the COVID-19 crisis for depression, stress, sleep quality, substance use and addictive behaviors. Additionally, during the crisis, we assessed its impact in form of fear, isolation and traumatic experiences. Potential associations between these outcomes and sexual orientation (sexual minority vs. heterosexual) were tested using linear regression models. It was additionally estimated to which degree these associations were attenuated if adjusted for differences in mental health, personality and socioeconomic status before the crisis, as well as the experience of the COVID-19 crisis (infection with the virus and changes to work situation).Results: Compared to heterosexual men, sexual minority men showed higher levels of psychological trauma (b = 0.37 [0.25, 0.49]), fear (b = 0.18 [0.06, 0.30]) and isolation (b = 0.32 [0.20, 0.44]) due to the COVID-19 pandemic as well as higher levels of depression (b = 0.31 [0.20, 0.41]) and lower sleep quality (b = −0.13 [−0.24, −0.02]) during the crisis. These differences were to a large degree explained by higher pre-crisis levels of mental health problems and the personality dimension of neuroticism-anxiety. Sexual minority men showed higher overall levels of substance use and addictive behaviors, but these differences were already present before the crisis.Conclusion: The COVID-19 crisis may have worsened pre-existing vulnerabilities in sexual minority men, leading to its greater psychological impact on them than on heterosexual men. Reducing minority stress due to sexual orientation may help not only to improve mental health among important proportions of the population but also to reduce their vulnerability to crises. Services offering psychological support to sexual minorities may need to be reinforced during crises.

AIMS: The COVID-19 pandemic caused many disturbances to daily life worldwide and may also have significantly affected people’s psychological well-being. The present study aimed to describe the psychological impact of the crisis on our sample of young Swiss men and to examine differences due to their linguistic region, experiencing COVID-19 symptoms and living arrangements. METHODS: Based on an ongoing cohort study, we assessed a general-population sample of young Swiss men (n = 2345; average 29 years old) shortly before (from April 2019) and early on during the COVID-19 crisis (between 13 May and 8 June 2020). This was a unique opportunity to estimate the crisis’ psychological impact in the form of depression, perceived stress and sleep quality (assessed before and during COVID-19), and any crisis-induced fears, isolation or psychological trauma. Associations of psychological impact with living arrangements, experiencing COVID-19 symptoms and linguistic region (German-speaking vs French-speaking) were investigated using linear regression models. FINDINGS: By the time participants responded to our questionnaire, less than 1% had been tested positive for COVID-19, 2.6% had been tested negative and 14.7% had had some COVID-19 symptoms but had not been tested. About 8.2% of the sample reported at least some symptoms of psychological trauma (≥24 points on the Impact of Event Scale). On average, participants reported higher levels of fear for others (43.6% at least moderate) and economic fear (12.7% at least moderate) than fear for themselves (5.8% at least moderate). Those living alone and those who reported having COVID-19 symptoms themselves, or knowing someone with symptoms, reported higher overall psychological impact in the form of depression, perceived stress, sleep quality, psychological trauma, fear and isolation. Associations with linguistic region varied by outcome, with higher levels of depression and fear in French-speaking regions and higher levels of perceived stress and isolation in German-speaking regions. INTERPRETATION: The crisis had a considerable impact on the psychological well-being of our sample of young Swiss men, and some groups were more affected than others: those living alone and those who had shown COVID-19 symptoms themselves or had known someone with symptoms may have felt a greater psychological impact from the crisis. Supporting those at a higher risk of psychological consequences in such crises, whether through structural measures or via individual support, should be an important aspect of crisis management and could help reduce the overall impact of the current pandemic on Switzerland’s population.

Abstract Background Two randomized controlled trials (RCTs) were conducted to explore the utility of the Mechanical Turk (MTurk) crowdsourcing platform to conduct rapid trials evaluating online interventions for unhealthy alcohol use. Methods Both trials employed a staged recruitment procedure where participants who drank in an unhealthy fashion were identified using a baseline survey and then invited to take part in a 6-month follow-up. Participants in both trials were randomized to receive one of several different online interventions or to a no intervention control condition. In study 1, the online interventions were password protected and only those who accessed the study portal were randomized to condition. In study 2, participants were directed to free-of charge interventions and asked to send a screenshot of the intervention to demonstrate that they had complied. Results Participants reporting unhealthy alcohol use were recruited fairly rapidly. Large numbers of screeners were completed (Study 1: n = 4910; Study 2: n = 5812), found eligible (Study 1: n = 3741; Study 2: n = 4095), and randomized to condition (Study 1: n = 511; Study 2: n = 878). Fair follow-up rates were observed at 6 months for each study (Study 1: 82%; Study 2: 66%). Neither trial was able to clearly demonstrate that providing access to the online interventions lead to increased reductions in alcohol use as compared to the control group. Conclusions While recruitment through a crowdsourcing platform is rapid and relatively low cost, it is possible that the lack of impact of the online websites employed in these trials could be due to the source of participants rather than the lack of efficacy of the interventions. Trial registration ClinicalTrials.gov # NCT02977026 and NCT03060135.

AimsThe present study aimed to investigate whether the psychological impact of the COVID-19 crisis varied with regards to young Swiss men's pre-crisis level of education and socioeconomic status and to changes in their work situation due to it.MethodsA cohort of 2345 young Swiss men (from 21 out of 26 Swiss cantons; mean age = 29) completed survey-based assessments shortly before (April 2019 to February 2020) and early on during the COVID-19 crisis (May to June 2020). Outcomes measured were psychological outcomes before and during the COVID-19 crisis (depression, perceived stress and sleep quality), and the fear, isolation and psychological trauma induced by it. We investigated associations between these outcomes and their predictors: pre-crisis socioeconomic status (relative financial status, difficulty paying bills, level of education), changes in work situation during the crisis (job loss, partial unemployment, working from home, change in workload) and working in contact with potentially infected people, both inside and outside the healthcare sector. For outcomes measured before and during the crisis, the analyses were adjusted for their pre-crisis levels.ResultsAbout 21% of participants changed their employment status (job loss, partial unemployment or lost money if self-employed) and more than 40% worked predominantly from home during the COVID-19 crisis. Participants with a lower relative socioeconomic status already before the crisis experienced a higher psychological impact due to the COVID-19 crisis, compared to participants with an average socioeconomic status (major depression (b = 0.12 [0.03, 0.22]), perceived stress (b = 0.15 [0.05, 0.25]), psychological trauma (b = 0.15 [0.04, 0.26]), fear (b = 0.20 [0.10, 0.30]) and isolation (b = 0.19 [0.08, 0.29])). A higher impact was also felt by participants who lost their job due to the COVID-19 crisis, the partially unemployed, those with an increased workload or those who worked mainly from home (e.g. depression b = 0.25 [0.16, 0.34] for those working 90%+ at home, compared to those not working at home).ConclusionsEven in a country like Switzerland, with relatively high social security benefits and universal healthcare, the COVID-19 crisis had a considerable psychological impact, especially among those with a lower socioeconomic status and those who experienced deteriorations in their work situation due to the COVID-19 crisis. Supporting these populations during the crisis may help to prevent an amplification of inequalities in mental health and social status. Such support could help to lower the overall impact of the crisis on the mental well-being of Switzerland's population.

BackgroundUnhealthy alcohol use among young adults is a major public health concern. Brief motivational interventions for young adults in the Emergency Department (ED) have shown promising but inconsistent results.MethodsBased on the literature on brief intervention and motivational interviewing efficacy and active ingredients, we developed a new motivational intervention model for young adults admitted in the ED with alcohol intoxication. Using an iterative qualitative design, we first pre-tested this model by conducting 4 experimental sessions and 8 related semi-structured interviews to evaluate clinicians' and patients' perceptions of the intervention's acceptability and feasibility. We then conducted a consultation meeting with 9 international experts using a nominal group technique. The intervention model was adjusted and finally re-tested by conducting 6 new experimental sessions and 12 related semi-structured interviews. At each round, data collected were analyzed and discussed, and the intervention model updated accordingly.ResultsBased on the literature, we found 6 axes for developing a new model: High level of relational factors (e.g. empathy, alliance, avoidance of confrontation); Personalized feedback; Enhance discrepancy; Evoke change talk while softening sustain talk, strengthen ability and commitment to change; Completion of a change plan; Devote more time: longer sessions and follow-up options (face-to-face, telephone, or electronic boosters; referral to treatment). A qualitative analysis of the semi-structured interviews gave important insights regarding acceptability and feasibility of the model. Adjustments were made around which information to provide and how, as well as on how to deepen discussion about change with patients having low levels of self-exploration. The experts' consultation addressed numerous points, such as information and advice giving, and booster interventions.DiscussionThis iterative, multi-component design resulted in the development of an intervention model embedded in recent research findings and theory advances, as well as feasible in a complex environment. The next step is a randomized controlled trial testing the efficacy of this model.

Background: How much a randomized controlled trial (RCT) sample is representative of or differs from its source population is a challenging question, with major implications for generalizability of results. It is particularly crucial for freely-available web-based interventions tested in RCTs since they are designed to reach broad populations and could increase health disparities if they fail to reach the more vulnerable individuals. We assessed the representativeness of a sample of participants in a primary/secondary prevention web-based brief intervention RCT in relation to its source population. Then we compared those recruited to those not recruited in the RCT. Methods: There is a mandatory army recruitment process in Switzerland at age 19 for men. Between August 2010 and July 2011, 12,564 men (source population) attended two recruitment centers and were asked to answer a screening questionnaire on alcohol use. Among 11,819 (94.1%) who completed it, 7027 (59.5%) agreed to participate in a longitudinal cohort study with regular assessments. In 2012, these participants were invited to a web-based brief intervention RCT. Participation was not dependent on the presence or quantity of alcohol use. We assessed the representativeness of the RCT sample in relation to the source population and compared participants recruited/not recruited in the RCT with respect to education level and alcohol use. Results: The RCT sample differed from the source population: individuals 20 and over were significantly less represented (34.3% vs 37.9%, p = 0.006), as were those with lower education level (58.6% vs 63.0%, p = 0.0009). The prevalence of any alcohol use was higher in the RCT population (92.3% vs 90.6%, p = 0.03) but unhealthy alcohol use was less represented (37.1% vs 43.2%, p

Abstract Background The Alcohol Use Disorders Identification Test (AUDIT) is a commonly used scale to measure severity of alcohol consumption that contains an item asking if anyone has expressed concern about your drinking or suggested you cut down. What does it mean when a participant says yes to this question? Methods Participants who were 18 or older and who drank at least weekly were recruited to complete a survey about their drinking from the Mechanical Turk platform. Comparisons were made between at risk (n = 2565) and high risk drinkers (n = 581) who said that someone had expressed concern about their drinking regarding who had expressed concern. If the person expressing concern was a health professional, the participant was also asked what type of support was provided. Results Expressions of concern about drinking were received more often by high risk than at risk drinkers. The most common type of person to have expressed concern was a relative, followed by a friend, or a marital partner. About one quarter of participants had received expressions of concern from a medical doctor or other health professional. All health professionals’ expressions of concern were accompanied by a suggestion to cut down and about half provided some additional support (the most common type of support was brief advice). Conclusions Expressions of concern come from a variety of sources and the likelihood of their occurrence is partially related to amount of alcohol intake.

BACKGROUND:Alcohol use disorder (AUD) is known to co-occur with other addictions, as well as with mental health problems. However, the effects of other addictions co-occurring with AUD on mental health problems were rarely studied and not considering them may bias estimates of the association between AUD and mental health problems. This study investigated which role co-occurring addictions play for the cross-sectional associations between self-reported AUD and mental health problems. METHOD:Participants were 5516 young Swiss men (73.0% of those that gave written informed consent) who completed a self-report questionnaire. Using short screening questionnaires, we assessed three substance use disorders (alcohol, cannabis and tobacco), seven behavioural addictions (internet, gaming, smartphone, internet sex, gambling, work, exercise) and four mental health problems (major depression, bipolar disorder, attention deficit hyperactivity disorder (ADHD) and social anxiety disorder). Differences in the proportions of mental health problems were tested using logistic regressions between (1) participants with no AUD and AUD, (2) participants with no AUD and AUD alone and (3) participants with no AUD and AUD plus at least one co-occurring addiction. RESULTS:Overall, (1) participants with AUD had higher proportions of major depression (Odds ratio (OR [95% confidence interval]) = 3.51 [2.73, 4.52]; ADHD (OR = 3.12 [2.41, 4.03]); bipolar disorder (OR = 4.94 [3.38, 7.21]) and social anxiety (OR = 2.21 [1.79, 2.73])) compared to participants with no AUD. Considering only participants with AUD alone compared to participants with no AUD (2), differences in proportions were no longer significant for major depression (OR = 0.83 [0.42, 1.64]), bipolar disorder (OR = 1.69 [0.67, 4.22]), social anxiety (OR = 1.15 [0.77, 1.73]) and ADHD (OR = 1.65 [1.00, 2.72]) compared to participants with no AUD. In contrast, (3) proportions of mental health problems were considerably higher for participants with AUD plus at least one other addiction when compared to participants with no AUD, with OR's ranging from 2.90 [2.27, 3.70] for social anxiety, 4.03 [3.02, 5.38] for ADHD, 5.29 [4.02, 6.97] for major depression to 6.64 [4.44, 9.94] for bipolar disorder. CONCLUSIONS:AUD was associated with all four measured mental health problems. However, these associations were mainly due to the high proportions of these mental health problems in participants with AUD plus at least one co-occurring addiction and only to a lesser degree due to participants with AUD alone (i.e. without any other co-occurring addictions). Hence, estimates of the association between AUD and mental health problems that do not consider other addictions may be biased (i.e. overestimated). These findings imply that considering addictions co-occurring with AUD, including behavioural addictions, is important when investigating associations between AUD and mental health problems, and for the treatment of AUD and co-morbid disorders.

BACKGROUND:Face-to-face brief interventions for problem drinking are effective, but they have found limited implementation in routine care and the community. Internet-based interventions could overcome this treatment gap. We investigated effectiveness and moderators of treatment outcomes in internet-based interventions for adult problem drinking (iAIs). METHODS AND FINDINGS:Systematic searches were performed in medical and psychological databases to 31 December 2016. A one-stage individual patient data meta-analysis (IPDMA) was conducted with a linear mixed model complete-case approach, using baseline and first follow-up data. The primary outcome measure was mean weekly alcohol consumption in standard units (SUs, 10 grams of ethanol). Secondary outcome was treatment response (TR), defined as less than 14/21 SUs for women/men weekly. Putative participant, intervention, and study moderators were included. Robustness was verified in three sensitivity analyses: a two-stage IPDMA, a one-stage IPDMA using multiple imputation, and a missing-not-at-random (MNAR) analysis. We obtained baseline data for 14,198 adult participants (19 randomised controlled trials [RCTs], mean age 40.7 [SD = 13.2], 47.6% women). Their baseline mean weekly alcohol consumption was 38.1 SUs (SD = 26.9). Most were regular problem drinkers (80.1%, SUs 44.7, SD = 26.4) and 19.9% (SUs 11.9, SD = 4.1) were binge-only drinkers. About one third were heavy drinkers, meaning that women/men consumed, respectively, more than 35/50 SUs of alcohol at baseline (34.2%, SUs 65.9, SD = 27.1). Post-intervention data were available for 8,095 participants. Compared with controls, iAI participants showed a greater mean weekly decrease at follow-up of 5.02 SUs (95% CI -7.57 to -2.48, p < 0.001) and a higher rate of TR (odds ratio [OR] 2.20, 95% CI 1.63-2.95, p < 0.001, number needed to treat [NNT] = 4.15, 95% CI 3.06-6.62). Persons above age 55 showed higher TR than their younger counterparts (OR = 1.66, 95% CI 1.21-2.27, p = 0.002). Drinking profiles were not significantly associated with treatment outcomes. Human-supported interventions were superior to fully automated ones on both outcome measures (comparative reduction: -6.78 SUs, 95% CI -12.11 to -1.45, p = 0.013; TR: OR = 2.23, 95% CI 1.22-4.08, p = 0.009). Participants treated in iAIs based on personalised normative feedback (PNF) alone were significantly less likely to sustain low-risk drinking at follow-up than those in iAIs based on integrated therapeutic principles (OR = 0.52, 95% CI 0.29-0.93, p = 0.029). The use of waitlist control in RCTs was associated with significantly better treatment outcomes than the use of other types of control (comparative reduction: -9.27 SUs, 95% CI -13.97 to -4.57, p < 0.001; TR: OR = 3.74, 95% CI 2.13-6.53, p < 0.001). The overall quality of the RCTs was high; a major limitation included high study dropout (43%). Sensitivity analyses confirmed the robustness of our primary analyses. CONCLUSION:To our knowledge, this is the first IPDMA on internet-based interventions that has shown them to be effective in curbing various patterns of adult problem drinking in both community and healthcare settings. Waitlist control may be conducive to inflation of treatment outcomes.

Abstract Background Socioeconomic status (SES) is often inversely related to health outcomes and is likely to play a role in the use of psychoactive substances among young individuals, although little consensus exists on the association between SES and substance use. The purpose of the study was to determine the association of three SES indicators (perceived family income, education level of participants, and parental education level) with past year use of alcohol, tobacco, cannabis, other illicit drugs and non-medical use of prescription drugs (NMPD) among Swiss young men. Methods Population-based cross-sectional study of 5,702 men at mean age twenty. Associations between SES indicators and substance use were assessed with regression models adjusted for age and linguistic region. Results Participants with average or below average perceived family income were less likely to report any use of alcohol (OR = O.75) but more likely to use tobacco daily (OR = 1.31) and cannabis weekly (OR = 1.27) compared to those with perceived above average family income. Participants whose parents had only achieved obligatory education were less likely to engage in any use of alcohol (OR = 0.30), monthly risky single occasion drinking (RSOD, defined as 6 or more drinks per occasion) (OR = 0.48), any use of cannabis (OR = 0.53) and other illicit drugs (OR = 0.58), whereas those whose parents had only achieved secondary education were less at risk of engaging in cannabis (OR = 0.66 for any use and OR = 0.77 for more than once a week use) and other illicit drugs (OR = 0.74) use, compared to those whose parents had achieved tertiary education. Compared to participants who completed secondary or tertiary education, those who completed only obligatory education reported a higher risk of tobacco (OR = 1.18 for any use, OR = 1.31 for daily use), cannabis (OR = 1.23 for any use, OR = 1.37 for more than once a week use), and other illicit drugs (OR = 1.48) use. No association was found between NMPD and the studied SES variables. Conclusion The relationship between SES and substance use was complex in this sample. Higher socioeconomic status was associated with more alcohol and other illicit drugs use, while lower socioeconomic status was related to more tobacco use. Education level and perceived family income may have different impacts on substance use and may vary by substance.

Alcohol use is one of the leading modifiable morbidity and mortality risk factors among young adults.2 parallel-group randomized controlled trial with follow-up at 1 and 6 months.Internet based study in a general population sample of young men with low-risk drinking, recruited between June 2012 and February 2013. Intervention: Internet-based brief alcohol primary prevention intervention (IBI). The IBI aims at preventing an increase in alcohol use: it consists of normative feedback, feedback on consequences, calorific value alcohol, computed blood alcohol concentration, indication that the reported alcohol use is associated with no or limited risks for health. Intervention group participants received the IBI. Control group (CG) participants completed only an assessment.Alcohol use (number of drinks per week), binge drinking prevalence. Analyses were conducted in 2014-2015.Of 4365 men invited to participate, 1633 did so; 896 reported low-risk drinking and were randomized (IBI: n = 451; CG: n = 445). At baseline, 1 and 6 months, the mean (SD) number of drinks/week was 2.4(2.2), 2.3(2.6), 2.5(3.0) for IBI, and 2.4(2.3), 2.8(3.7), 2.7(3.9) for CG. Binge drinking, absent at baseline, was reported by 14.4% (IBI) and 19.0% (CG) at 1 month and by 13.3% (IBI) and 13.0% (CG) at 6 months. At 1 month, beneficial intervention effects were observed on the number of drinks/week (p = 0.05). No significant differences were observed at 6 months.We found protective short term effects of a primary prevention IBI.Controlled-Trials.com ISRCTN55991918.

QUESTION UNDER STUDY: To investigate the change over time in the number of ED admissions with positive blood alcohol concentration (BAC) and to evaluate predictors of BAC level. METHODS: We conducted a single site retrospective study at the ED of a tertiary referral hospital (western part of Switzerland) and obtained all the BAC performed from 2002 to 2011. We determined the proportion of ED admissions with positive BAC (number of positive BAC/number of admissions). Regression models assessed trends in the proportion of admissions with positive BAC and the predictors of BAC level among patients with positive BAC. RESULTS: A total of 319,489 admissions were recorded and 20,021 BAC tests were performed, of which 14,359 were positive, divided 34.5% female and 65.5% male. The mean (SD) age was 41.7(16.8), and the mean BAC was 2.12(1.04) permille (g of ethanol/liter of blood). An increase in the number of positive BAC was observed, from 756 in 2002 to 1,819 in 2011. The total number of admissions also increased but less: 1.2 versus 2.4 times more admissions with positive BAC. Being male was independently associated with a higher (+0.19 permille) BAC, as was each passing year (+0.03). A significant quadratic association with age indicated a maximum BAC at age 53. CONCLUSION: We observed an increase in the percentage of admissions with positive BAC that was not limited to younger individuals. Given the potential consequences of alcohol intoxication, and the large burden imposed on ED teams, communities should be encouraged to take measures aimed at reducing alcohol intoxication.