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OBJECTIVE: Previous trials have demonstrated the efficacy and durability of computer-based cognitive-behavioral therapy (CBT4CBT) as an add-on to standard outpatient care in a range of treatment-seeking populations. In this study, the authors evaluated the efficacy and safety of CBT4CBT as a virtual stand-alone treatment, delivered with minimal clinical monitoring, and clinician-delivered cognitive-behavioral therapy (CBT) compared with treatment as usual in a heterogeneous sample of treatment-seeking outpatients with substance use disorders. METHOD: This was a randomized clinical trial in which 137 individuals who met DSM-IV-TR criteria for current substance abuse or dependence were randomly assigned to receive treatment as usual, weekly individual CBT, or CBT4CBT with brief weekly monitoring. RESULTS: Rates of treatment exposure differed by group, with the best retention in the CBT4CBT group and the poorest in the individual CBT group. Participants who received CBT or CBT4CBT reduced their frequency of substance use significantly more than those who received treatment as usual. Six-month follow-up outcomes indicated continuing benefit of CBT4CBT (plus monitoring) over treatment as usual, but not for clinician-delivered CBT over treatment as usual. Analysis of secondary outcomes indicated that participants in the CBT4CBT group demonstrated the best learning of cognitive and behavioral concepts, as well as the highest satisfaction with treatment. CONCLUSIONS: This first trial of computerized CBT as a virtual stand-alone intervention delivered in a clinical setting to a diverse sample of patients with current substance use disorders indicated that it was safe, effective, and durable relative to standard treatment approaches and was well-liked by participants. Clinician-delivered individual CBT, while efficacious within the treatment period, was unexpectedly associated with a higher dropout rate and lower effects at follow-up.

Chatbots (also known as conversational agents and virtual assistants) offer the potential to deliver healthcare in an efficient, appealing and personalised manner. The purpose of this systematic review and meta-analysis was to evaluate the efficacy of chatbot interventions designed to improve physical activity, diet and sleep. Electronic databases were searched for randomised and non-randomised controlled trials, and pre-post trials that evaluated chatbot interventions targeting physical activity, diet and/or sleep, published before 1 September 2022. Outcomes were total physical activity, steps, moderate-to-vigorous physical activity (MVPA), fruit and vegetable consumption, sleep quality and sleep duration. Standardised mean differences (SMD) were calculated to compare intervention effects. Subgroup analyses were conducted to assess chatbot type, intervention type, duration, output and use of artificial intelligence. Risk of bias was assessed using the Effective Public Health Practice Project Quality Assessment tool. Nineteen trials were included. Sample sizes ranged between 25-958, and mean participant age ranged between 9-71 years. Most interventions (n = 15, 79%) targeted physical activity, and most trials had a low-quality rating (n = 14, 74%). Meta-analysis results showed significant effects (all p < 0.05) of chatbots for increasing total physical activity (SMD = 0.28 [95% CI = 0.16, 0.40]), daily steps (SMD = 0.28 [95% CI = 0.17, 0.39]), MVPA (SMD = 0.53 [95% CI = 0.24, 0.83]), fruit and vegetable consumption (SMD = 0.59 [95% CI = 0.25, 0.93]), sleep duration (SMD = 0.44 [95% CI = 0.32, 0.55]) and sleep quality (SMD = 0.50 [95% CI = 0.09, 0.90]). Subgroup analyses showed that text-based, and artificial intelligence chatbots were more efficacious than speech/voice chatbots for fruit and vegetable consumption, and multicomponent interventions were more efficacious than chatbot-only interventions for sleep duration and sleep quality (all p < 0.05). Findings from this systematic review and meta-analysis indicate that chatbot interventions are efficacious for increasing physical activity, fruit and vegetable consumption, sleep duration and sleep quality. Chatbot interventions were efficacious across a range of populations and age groups, with both short- and longer-term interventions, and chatbot only and multicomponent interventions being efficacious.

BACKGROUND: The relationship between intimate partner violence (IPV) perpetration and substance use is not well understood. We conducted a meta-ethnography of qualitative studies to explore how substance use features in survivors' and perpetrators' accounts of IPV perpetration. METHODS: Qualitative studies from 1995 to 2016 were identified from PsycINFO, ASSIA and Web of Science, with an update in PsycINFO and ASSIA to December 2017. 7654 abstracts were screened for accounts of heterosexual IPV perpetration, then full-texts were screened for mentions of substance use. Key concepts from 26 qualitative studies (363 female survivors' and 219 male perpetrators' views) were synthesised to develop a grounded theory that put similarities and differences between studies into an interpretive order. RESULTS: Six themes emerged: five related to the complex interplay between substance use and IPV perpetration in the context of intoxication, withdrawal and addiction, impact on relationship and wider dynamics of power and control and psychological vulnerabilities; a final theme related to survivors' agency and resistance to IPV perpetration. Survivors and perpetrators noted how both intoxication and withdrawal could pre-empt IPV perpetration. Survivors, however, were more likely to see intoxication and withdrawal as part of a pattern of abusive behaviour, whereas perpetrators tended to describe a causal relationship between intoxication and discrete incidents of IPV perpetration. Irritability and frustration during withdrawal from or craving alcohol, heroin and stimulants, and/or a failure or partner refusal to procure money for drugs increased the likelihood of violence. Survivors were more likely than perpetrators to identify abuse in relation to the impact of substance use on their relationship and dynamics of power and control. CONCLUSION: The interplay between substance use and IPV perpetration occurs at numerous contextual levels and is perceived differently by perpetrators and survivors. Behaviour change interventions must address the meanings behind divergent narratives about IPV perpetration and substance use.

Executive Summary/Abstract Background Bullying first emerged as an important topic of research in the 1980s in Norway (Olweus), and a recent meta‐analysis shows that these forms of aggression remain prevalent among young people globally (Modecki et al.). Prominent researchers in the field have defined bullying as any aggressive behavior that incorporates three key elements, namely: (1) an intention to harm, (2) repetitive in nature, and (3) a clear power imbalance between perpetrator and victim (Centers for Disease Control and Prevention; Farrington). There are many negative outcomes associated with bullying perpetration, such as: suicidal ideation (Holt et al.), weapon carrying (Valdebenito et al.), drug use (Ttofi et al.), and violence and offending in later life (Ttofi et al.). Bullying victimization too is associated with negative outcomes such as: suicidal ideation (Holt et al.), anxiety, low self‐esteem and loneliness (Hawker&amp; Boulton). Therefore, school bullying is an important target for effective intervention, and should be considered a matter of public health concern. Objectives The objective of this review is to establish whether or not existing school‐based antibullying programs are effective in reducing school‐bullyng behaviors. This report also updates a previous meta‐analysis conducted by Farrington and Ttofi. This earlier review found that antibullying programs are effective in reducing bullying perpetration and victimization and a primary objective of the current report is to update the earlier analysis of 53 evaluations by conducting new searches for evaluations conducted and published since 2009. Search Methods Systematic searches were conducted using Boolean combinations of the following keywords: bully*; victim*; bully‐victim; school; intervention; prevention; program*; evaluation; effect*; and anti‐bullying . Searches were conducted on several online databases including, Web of Science, PscyhINFO, EMBASE, EMBASE, DARE, ERIC, Google Scholar, and Scopus. Databases of unpublished reports, such as masters' and doctoral theses (e.g., Proquest) were also searched. Selection Criteria Results from systematic searches were screened thoroughly against the following inclusion criteria. To be included in this review, a study must have: (1) described an evaluation of a school‐based antibullying program implemented with school‐age participants; (2) utilized an operational definition of school‐bullying that coincides with existing definitions; (3) measured school‐bullying perpetration and/or victimization using quantitative measures, such as, self‐, peer‐, or teacher‐report questionnaires; and (4) used an experimental or quasi‐experimental design, with one group receiving the intervention and another not receiving the intervention. Data Collection and Analysis Of the 19,877 search results, 474 were retained for further screening. The majority of these were excluded, and after multiple waves of screening, 100 evaluations were included in our meta‐analysis. A total of 103 independent effect sizes were estimated and each effect size was corrected for the impact of including clusters in evaluation designs. Included evaluations were conducted using both randomized ( n = 45; i.e., randomized controlled trials/RCTs) and nonrandomized ( n = 44; i.e., quasi‐experimental designs with before/after measures; BA/EC) methodologies. All of these studies included measures of bullying outcomes before and after implementation of an intervention. The remaining 14 effect sizes were estimated from evaluations that used age cohort designs. Two models of meta‐analysis are used to report results in our report. All mean effects computed are presented using both the multivariance adjustment model (MVA) and random effects model (RE). The MVA model assigns weights to primary studies in direct proportion to study level sampling error as with the fixed effects model but adjusts the meta‐analytic standard error and confidence intervals for study heterogeneity. The RE model incorporates between‐study heterogeneity into the formula for assigning weights to primary studies. The differences and strengths/limitations of both approaches are discussed in the context of the present data. Results Our meta‐analysis identified that bullying programs significantly reduce bullying perpetration (RE: odds ratio [OR] = 1.309; 95% confidence interval [CI]: 1.24–1.38; z = 9.88; p &lt; .001) and bullying victimization (RE: OR = 1.244; 95% CI: 1.19–1.31; z = 8.92; p &lt; .001), under a random effects model of meta‐analysis. Mean effects were similar across both models of meta‐analysis for bullying perpetration (i.e., MVA: OR = 1,324; 95% CI: 1.27–1.38; z = 13.4; p &lt; .001) and bullying victimization (i.e., MVA: OR = 1.248; 95% CI: 1.21–1.29; z = 12.06; p &lt; .001). Under both computational models, primary studies were more effective in reducing bullying perpetration than victimization overall. Effect sizes varied across studies, with significant heterogeneity between studies for both bullying perpetration ( Q = 323.392; df = 85; p &lt; .001; I 2 = 73.716) and bullying victimization ( Q = 387.255; df = 87; p &lt; .001; I 2 = 77.534) outcomes. Analyses suggest that publication bias is unlikely. Between‐study heterogeneity was expected, given the large number of studies included, and thus, the number of different programs, methods, measures and samples used. Authors' Conclusions We conclude that overall, school‐based antibullying programs are effective in reducing bullying perpetration and bullying victimization, although effect sizes are modest. The impact of evaluation methodology on effect size appears to be weak and does not adequately explain the significant heterogeneity between primary studies. Moreover, the issue of the under‐/over‐estimation of the true treatment effect by different experimental designs and use of self‐reported measures is reviewed. The potential explanations for this are discussed, along with recommendations for future primary evaluations. Avenues for future research are discussed, including the need further explain differences across programs by correlating individual effect sizes with varying program components and varying methodological elements available across these 100 evaluations. Initial findings in the variability of effect sizes across different methodological moderators provide some understanding on the issue of heterogeneity, but future analyses based on further moderator variables are needed.

Exercise and physical activity are constantly gaining attention as adjuvant treatment for substance use disorders, supplementing classical pharmacological and psychotherapeutic approaches. The present work reviews studies addressing the therapeutic effects of exercise in alcohol abuse/dependence, nicotine abuse/dependence, and illicit drug abuse/dependence. In the field of smoking cessation, evidence is strong for exercise as an effective adjuvant treatment, whereas no generalizable and methodologically strong studies have been published for alcohol and drug treatment so far, allowing only preliminary conclusions about the effectiveness of exercise in these disorders. A couple of potential mechanisms are discussed, by which exercise may act as an effective treatment, as well as future directions for studies investigating exercise as a treatment strategy for substance use disorders.

BACKGROUND: Severe mental illness (SMI) is thought to be associated with lower diet quality and adverse eating behaviours contributing towards physical health disparities. A rigorous review of the studies looking at dietary intake in psychotic disorders and bipolar disorder is lacking.AimsTo conduct a systematic, comprehensive evaluation of the published research on dietary intake in psychotic disorders and bipolar disorder. METHOD: Six electronic databases were searched for studies reporting on dietary intakes in psychotic disorders and bipolar disorder. Dietary-assessment methods, and dietary intakes, were systematically reviewed. Where possible, data was pooled for meta-analysis and compared with healthy controls. RESULTS: In total, 58 eligible studies were identified. People with SMI were found to have significantly higher dietary energy (mean difference 1332 kJ, 95% CI 487-2178 kJ/day, P = 0.002, g = 0.463) and sodium (mean difference 322 mg, 95% CI 174-490 mg, P &lt; 0.001, g = 0.414) intake compared with controls. Qualitative synthesis suggested that higher energy and sodium intakes were associated with poorer diet quality and eating patterns. CONCLUSIONS: These dietary components should be key targets for preventative interventions to improve weight and other physical health outcomes in people with SMI.Declaration of interestS.B.T. and E.T. have clinical dietitian appointments within the South Eastern Sydney Local Health District and do not receive any further funding.

BACKGROUND: Alcohol misuse ranks within the top ten health conditions with the highest global burden of disease. Low-intensity, Internet interventions for curbing adult alcohol misuse have been shown effective. Few meta-analyses have been carried out, however, and they have involved small numbers of studies, lacked indicators of drinking within low risk guidelines, and examined the effectiveness of unguided self-help only. We therefore conducted a more thorough meta-analysis that included both guided and unguided interventions. METHODS: Systematic literature searches were performed up to September 2013. Primary outcome was the mean level of alcohol consumption and drinking within low risk guidelines for alcohol consumption at post-treatment. FINDINGS: We selected 16 randomised controlled trials (with 23 comparisons and 5,612 participants) for inclusion. Results, showed a small but significant overall effect size in favour of Internet interventions (g = 0.20, 95% CI: 0.13-0.27, p<.001). Participants in Internet interventions drunk on average 22 grams of ethanol less than controls and were significantly more likely to be adhering to low-risk drinking guidelines at post-treatment (RD 0.13, 95% CI: 0.09-0.17, p<.001). Subgroup analyses revealed no significant differences in potential moderators for the outcome of alcohol consumption, although there was a near-significant difference between comparisons with waitlist control and those with assessment-only or alcohol information control conditions (p = .056). CONCLUSIONS: Internet interventions are effective in reducing adult alcohol consumption and inducing alcohol users to adhere to guidelines for low-risk drinking. This effect is small but from a public health point of view this may warrant large scale implementation at low cost of Internet interventions for adult alcohol misuse. Moderator analyses with sufficient power are, however, needed in order to assess the robustness of these overall results and to assess whether these interventions may impact on subgroups with different levels of success.