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Cannabis Use in Adults Who Screen Positive for Attention Deficit/Hyperactivity Disorder: CANreduce 2.0 Randomized Controlled Trial Subgroup Analysis

Cannabis Use in Adults Who Screen Positive for Attention Deficit/Hyperactivity Disorder: CANreduce 2.0 Randomized Controlled Trial Subgroup Analysis

The criterion for statistical significance was P Participants were predominantly male (263/367, 71.6%). The mean age was 27.9 years old (SD 7.5 years). No significant differences in age (P=.15) or the highest level of education (P=.36) between individuals with and without attention deficit/hyperactivity disorder were detected. The largest percentage of participants were from Switzerland (140/367, 38.1%), followed by Austria (134/367; 36.5%) and Germany (91/367, 24.7%).

Joachim Ahlers, Christian Baumgartner, Mareike Augsburger, Andreas Wenger, Doris Malischnig, Nikolaos Boumparis, Thomas Berger, Lars Stark, David D Ebert, Severin Haug, Michael P Schaub

J Med Internet Res 2022;24(4):e30138

Engagement With a Mobile Phone–Based Life Skills Intervention for Adolescents and Its Association With Participant Characteristics and Outcomes: Tree-Based Analysis

Engagement With a Mobile Phone–Based Life Skills Intervention for Adolescents and Its Association With Participant Characteristics and Outcomes: Tree-Based Analysis

Attrition at 6-month follow-up was significantly associated with use of the program (t423.14=25.3; P The intervention was designed with, and initiated by, the open-source behavioral intervention platform Mobile Coach [38,39]. The original study protocol was approved by the ethics committee of the Faculty of Arts and Sciences at the University of Zurich, Switzerland (approval number 18.6.5; date of approval: June 21, 2018).

Raquel Paz Castro, Severin Haug, Rudolf Debelak, Robert Jakob, Tobias Kowatsch, Michael P Schaub

J Med Internet Res 2022;24(1):e28638

User Experience and Effects of an Individually Tailored Transdiagnostic Internet-Based and Mobile-Supported Intervention for Anxiety Disorders: Mixed-Methods Study

User Experience and Effects of an Individually Tailored Transdiagnostic Internet-Based and Mobile-Supported Intervention for Anxiety Disorders: Mixed-Methods Study

However, completers had significantly lower anxiety levels on the BAI (median 33) compared with noncompleters (median 44.50, U=80.5, z=–2.27, P=.02). For a complete overview of baseline differences, see Multimedia Appendix 1. Considering changes in diagnostic status at postassessment, of the individuals who completed the diagnostic interview, 46% (18/39) still had at least one anxiety disorder while 54% (21/39) no longer were diagnosed as having any anxiety disorder.

Kiona K K. Weisel, Anna-Carlotta Zarski, Thomas Berger, Tobias Krieger, Christian T Moser, Michael P Schaub, Dennis Görlich, Matthias Berking, David D Ebert

J Med Internet Res 2020;22(9):e16450

A Digital Intervention Addressing Alcohol Use Problems (the “Daybreak” Program): Quasi-Experimental Randomized Controlled Trial

A Digital Intervention Addressing Alcohol Use Problems (the “Daybreak” Program): Quasi-Experimental Randomized Controlled Trial

To achieve a power of 0.80 with an alpha P Participants were screened with the 10-item AUDIT, which has been validated in Australia [18] and elsewhere. Scores range from 0-40 (0-7=low risk, 8-19=hazardous or harmful alcohol use, 20-40=probable dependence), and outcomes were assessed as change in the scores for the first three items (termed the AUDIT–C). Prior research has shown that the AUDIT–C can predict clinical outcomes at 12 months [26].

Robert J J Tait, Raquel Paz Castro, Jessica Jane Louise Kirkman, Jamie Christopher Moore, Michael P Schaub

J Med Internet Res 2019;21(9):e14967

Efficacy of an Online Self-Help Treatment for Comorbid Alcohol Misuse and Emotional Problems in Young Adults: Protocol for a Randomized Controlled Trial

Efficacy of an Online Self-Help Treatment for Comorbid Alcohol Misuse and Emotional Problems in Young Adults: Protocol for a Randomized Controlled Trial

The intervention will be adapted from a new online integrated treatment developed by collaborators Schaub et al at the Swiss Research Institute for Public Health and Addiction [27] called Take Care of You; this intervention is in German and Dutch, and it is the first online integrated treatment for alcohol misuse and depression in young adults.

Jona R Thomas Frohlich, Karli K Rapinda, Michael P Schaub, Andreas Wenger, Christian Baumgartner, Edward A Johnson, Roisin M O'Connor, Norah Vincent, Matthijs Blankers, David D Ebert, Heather Hadjistavropoulos, Corey S Mackenzie, Matthew T Keough

JMIR Res Protoc 2018;7(11):e11298

A Participatory Health Promotion Mobile App Addressing Alcohol Use Problems (The Daybreak Program): Protocol for a Randomized Controlled Trial

A Participatory Health Promotion Mobile App Addressing Alcohol Use Problems (The Daybreak Program): Protocol for a Randomized Controlled Trial

On the basis of a small estimated effect size of f= 0.10 (equivalent an effect size of d=0.2) at 6 months, with a correlation between repeated measures of r=0.5, we will require 60 people per group for the main analysis based on power of 0.80 and alpha set to P All measures will be assessed at each time point except the AUDIT (baseline only) and adverse events [47] (baseline and the final time point; see Table 1). The primary outcome will be change in AUDIT-consumption (AUDIT-C) scores.

Robert J J Tait, Jessica J L Kirkman, Michael P Schaub

JMIR Res Protoc 2018;7(5):e148

The Effects of Social Presence on Adherence-Focused Guidance in Problematic Cannabis Users: Protocol for the CANreduce 2.0 Randomized Controlled Trial

The Effects of Social Presence on Adherence-Focused Guidance in Problematic Cannabis Users: Protocol for the CANreduce 2.0 Randomized Controlled Trial

Secondary outcomes of interest will include the quantity of cannabis used in the previous week, in standardized cannabis joints (as indicated in the consumption diary as well, as per Schaub et al [10]). Participants can choose between three different cannabis forms presented in photographs and in the second step between five different standard joints for each category (1/10 g, 1/6 g, 1/4 g, 1/3 g, and 1/2 g content pictures). These joints are either pure cannabis or cannabis mixed with tobacco.

Manuel Patrick Amann, Severin Haug, Andreas Wenger, Christian Baumgartner, David D Ebert, Thomas Berger, Lars Stark, Marc Walter, Michael P Schaub

JMIR Res Protoc 2018;7(1):e30

Engagement Within a Mobile Phone–Based Smoking Cessation Intervention for Adolescents and its Association With Participant Characteristics and Outcomes

Engagement Within a Mobile Phone–Based Smoking Cessation Intervention for Adolescents and its Association With Participant Characteristics and Outcomes

As suggested by Hosmer et al [32], variable selection consisted of the following steps: (1) significant predictors (P.05 were removed, one at a time, starting with those with the highest P values (backward selection); and (3) to account for suppressor effects, the resulting model was verified by adding the aforementioned excluded variables, separately, to the regression model.

Raquel Paz Castro, Severin Haug, Andreas Filler, Tobias Kowatsch, Michael P Schaub

J Med Internet Res 2017;19(11):e356

A Mobile Phone-Based Life Skills Training Program for Substance Use Prevention Among Adolescents: Pre-Post Study on the Acceptance and Potential Effectiveness of the Program, Ready4life

A Mobile Phone-Based Life Skills Training Program for Substance Use Prevention Among Adolescents: Pre-Post Study on the Acceptance and Potential Effectiveness of the Program, Ready4life

Baseline equivalence and lack of attrition bias were assumed for tests with P>.10. We used generalized estimating equation (GEE) analyses to investigate the longitudinal course of the outcome criteria over the study period of 6 months. GEE is a repeated-measures regression model that takes into account the correlation of repeated measures within each subject [32].

Severin Haug, Raquel Paz Castro, Christian Meyer, Andreas Filler, Tobias Kowatsch, Michael P Schaub

JMIR Mhealth Uhealth 2017;5(10):e143