Randomized effectiveness-implementation trial of dialectical behavior therapy interventions for young people with borderline personality disorder symptoms.

OBJECTIVES: Dialectical behavior therapy (DBT) is an evidence-based treatment for people with emerging borderline personality disorder (BPD). In "real world" clinical settings, standard DBT is resource intensive. Emerging evidence suggests that group-based DBT skills training alone can lead to promising outcomes. This hybrid type 1 effectiveness-implementation trial directly compared the effectiveness of an 8-week group DBT-skills training program and a 16-week DBT-informed program including individual treatment and group-based skills training. METHODS: This pragmatic trial employed a staggered, parallel-groups design. We recruited 104 participants, aged 16-25 years, with emotion dysregulation or emerging BPD symptoms. Participants were randomized to receive either program at a youth mental health service located in the Gold Coast, Australia. Data was collected via online surveys at baseline, 8-week, 16-week, and 24-week follow-up. Mixed effect linear models compared groups on the primary outcomes of emotion dysregulation and BPD symptoms, and secondary outcomes of suicidal ideation, coping skills, depression, anxiety, and stress. RESULTS: Across groups there were significant and sustained improvements relating to emotion dysregulation, BPD symptoms, stress, depression, and emotion-focused coping; but not suicide risk, anxiety, or task-focused coping. There was no significant time by group differences between the 8-week and 16-week interventions on any primary or secondary outcome. CONCLUSION: The more intensive mode of delivering DBT was not more effective than the brief group-based skills training. Both interventions resulted in significant improvements across both primary and most secondary outcomes. These results have implications for clinical practice regarding length and intensity of DBT treatment in young people.

The risk of repeated suicidal presentations following residential treatment for substance use disorders: A recurrent event analysis using linked administrative data.

BACKGROUND: Individuals seeking alcohol and other drug (AOD) treatment consistently experience higher rates of suicidal behaviours and death by suicide when compared to the general population. By linking residential AOD treatment data to administrative healthcare and death datasets, we aimed to examine suicide-related behaviours and identify risk and protective factors for these events following discharge from residential treatment. METHODS: Participants included 1056 individuals aged 18-69 (M = 32.06, SD = 9.55, male = 696,65.9 %) admitted to three residential treatment facilities in Queensland, Australia from January 1, 2014 to December 31, 2016. Treatment data was linked to administrative hospital, emergency department (ED), mental health service, and Registry of Deaths data 2-years post-discharge. ICD-10 codes were used to identify and analyse suicide-related events. RESULTS: Within 2-years post-discharge, 175 (16.6 %) individuals had a suicide-related event (n = 298 episodes). The highest proportion of episodes (11.1 %) occurred within 1-month of discharge. Higher risk of a recurrent suicide-related event was associated with receiving a Disability Support Pension (aHR = 1.69 (95%CI:1.10,2.59), two or more previous episodes of residential AOD treatment (aHR = 1.49 (95%CI:1.30,2.15). Completing residential treatment was associated with a lower risk of suicide-related events (aHR = 0.54 (95%CI:0.35,0.83). LIMITATIONS: The amalgamation of suicidal ideation, attempts, and death into a single outcome oversimplifies their complex nature and interplay. The exclusive focus on one service provider limits generalisability, and data constraints and missingness preclude many analyses. CONCLUSIONS: Understanding suicidal behaviours and critical risk periods following discharge from residential treatment is crucial for improving continuing care, developing effective suicide prevention, and implementing targeted interventions among this high-risk population.

Alcohol use and alcohol use disorders in sub-Saharan Africa: A systematic review and meta-analysis.

BACKGROUND AND AIMS: Population-level alcohol use data are available from high-income countries, but limited research has been conducted in sub-Saharan Africa. This systematic review and meta-analysis aimed to summarize population-level alcohol use in sub-Saharan Africa. METHOD: Databases searched included PubMed, EMBASE, PsycINFO and AJOL, without language restrictions. Searches were also conducted in the Global Health Data Exchange (GHDx) and Google Scholar. Search terms encompassed 'substance' or 'substance-related disorders' and 'prevalence' and 'sub-Saharan Africa'. We included general population studies on alcohol use (including any use, high-risk alcohol use and alcohol use disorders) from 2018 onwards. Prevalence data for alcohol use among sub-Saharan African adolescents (10-17) and adults (18+) were extracted. Analyses included life-time and past 12- and 6-month alcohol use. RESULTS: We included 141 papers. Among adolescents, the life-time prevalence of alcohol use was 23.3% [95% confidence interval (CI) = 11.3-37.1%], 36.2% (CI = 18.4-56.1%) in the past year and 11.3% (CI = 4.5-20.4%) in the past 6 months. Among adolescents, 12-month prevalence of alcohol use disorder and alcohol dependence were 7.7% (CI = 0.0-27.8%) and 4.1% (CI = 1.4-7.9%), respectively. Among adults, the life-time prevalence of alcohol use was 34.9% (CI = 17.7-54.1%), 27.1% (CI = 5.0-56.4%) in the past year and 32.2% (CI = 19.8-46.0%) in the past 6 months. Among adults, the 12-month prevalence of alcohol use disorder and alcohol dependence were 9.5% (CI = 0.0-30.4%) and 4.3% (CI = 0.8-9.8%), respectively. The highest weighted life-time prevalence of alcohol use, 86.4%, was reported in Tanzania among adults. The highest weighted past 6-month prevalence of alcohol use, 80.6%, was found in Zambia among adolescents. CONCLUSION: Alcohol use patterns vary across countries and subregions within sub-Saharan Africa, and comprehensive population-level data on alcohol use remain scarce in numerous sub-Saharan African countries. The prevalence of alcohol use disorder is common among adolescents in sub-Saharan Africa.

Effectiveness of a universal, school-based, online programme for the prevention of anxiety, depression, and substance misuse among adolescents in Australia: 72-month outcomes from a cluster-randomised controlled trial.

BACKGROUND: The CSC study found that the universal delivery of a school-based, online programme for the prevention of mental health and substance use disorders among adolescents resulted in improvements in mental health and substance use outcomes at 30-month follow-up. We aimed to compare the long-term effects of four interventions-Climate Schools Combined (CSC) mental health and substance use, Climate Schools Substance Use (CSSU) alone, Climate Schools Mental Health (CSMH) alone, and standard health education-on mental health and substance use outcomes among adolescents at 72-month follow-up into early adulthood. METHODS: This long-term study followed up adolescents from a multicentre, cluster-randomised trial conducted across three states in Australia (New South Wales, Queensland, and Western Australia) enrolled between Sept 1, 2013, and Feb 28, 2014, for up to 72 months after baseline assessment. Adolescents (aged 18-20 years) from the original CSC study who accepted contact at 30-month follow-up and provided informed consent at 60-month follow-up were eligible. The interventions were delivered in school classrooms through an online delivery format and used a mixture of peer cartoon storyboards and classroom activities that were focused on alcohol, cannabis, anxiety, and depression. Participants took part in two web-based assessments at 60-month and 72-month follow-up. Primary outcomes were alcohol use, cannabis use, anxiety, and depression, measured by self-reported surveys and analysed by intention to treat (ie, in all students who were eligible at baseline). This trial is registered with the Australian New Zealand Clinical Trials Registry (ACTRN12613000723785), including the extended follow-up study. FINDINGS: Of 6386 students enrolled from 71 schools, 1556 (24·4%) were randomly assigned to education as usual, 1739 (27·2%) to CSSU, 1594 (25·0%) to CSMH, and 1497 (23·4%) to CSC. 311 (22·2%) of 1401 participants in the control group, 394 (26·4%) of 1495 in the CSSU group, 477 (37·%) of 1289 in the CSMH group, and 400 (32·5%) of 1232 in the CSC group completed follow-up at 72 months. Adolescents in the CSC group reported slower year-by-year increases in weekly alcohol use (odds ratio 0·78 [95% CI 0·66-0·92]; p=0·0028) and heavy episodic drinking (0·69 [0·58-0·81]; p<0·0001) than did the control group. However, significant baseline differences between groups for drinking outcomes, and no difference in the predicted probability of weekly or heavy episodic drinking between groups were observed at 72 months. Sensitivity analyses increased uncertainty around estimates. No significant long-term differences were observed in relation to alcohol use disorder, cannabis use, cannabis use disorder, anxiety, or depression. No adverse events were reported during the trial. INTERPRETATION: We found some evidence that a universal online programme for the prevention of anxiety, depression, and substance use delivered in early adolescence is effective in reducing the use and harmful use of alcohol into early adulthood. However, confidence in these findings is reduced due to baseline differences, and we did not see a difference in the predicted probability of drinking between groups at 72-month follow-up. These findings suggest that a universal prevention programme in adolescence is not sufficient to have lasting effects on mental health and substance use disorders in the long term. In addition to baseline differences, substantial attrition warrants caution in interpretation and the latter factor highlights the need for future long-term follow-up studies to invest in strategies to increase engagement. FUNDING: Australian National Health and Medical Research Council.

The Health4Life e-health intervention for modifying lifestyle risk behaviours of adolescents: secondary outcomes of a cluster randomised controlled trial.

OBJECTIVES: To investigate the effectiveness of a school-based multiple health behaviour change e-health intervention for modifying risk factors for chronic disease (secondary outcomes). STUDY DESIGN: Cluster randomised controlled trial. SETTING, PARTICIPANTS: Students (at baseline [2019]: year 7, 11-14 years old) at 71 Australian public, independent, and Catholic schools. INTERVENTION: Health4Life: an e-health school-based multiple health behaviour change intervention for reducing increases in the six major behavioural risk factors for chronic disease: physical inactivity, poor diet, excessive recreational screen time, poor sleep, and use of alcohol and tobacco. It comprises six online video modules during health education class and a smartphone app. MAIN OUTCOME MEASURES: Comparison of Health4Life and usual health education with respect to their impact on changes in twelve secondary outcomes related to the six behavioural risk factors, assessed in surveys at baseline, immediately after the intervention, and 12 and 24 months after the intervention: binge drinking, discretionary food consumption risk, inadequate fruit and vegetable intake, difficulty falling asleep, and light physical activity frequency (categorical); tobacco smoking frequency, alcohol drinking frequency, alcohol-related harm, daytime sleepiness, and time spent watching television and using electronic devices (continuous). RESULTS: A total of 6640 year 7 students completed the baseline survey (Health4Life: 3610; control: 3030); 6454 (97.2%) completed at least one follow-up survey, 5698 (85.8%) two or more follow-up surveys. Health4Life was not statistically more effective than usual school health education for influencing changes in any of the twelve outcomes over 24 months; for example: fruit intake inadequate: odds ratio [OR], 1.08 (95% confidence interval [CI], 0.57-2.05); vegetable intake inadequate: OR, 0.97 (95% CI, 0.64-1.47); increased light physical activity: OR, 1.00 (95% CI, 0.72-1.38); tobacco use frequency: relative difference, 0.03 (95% CI, -0.58 to 0.64) days per 30 days; alcohol use frequency: relative difference, -0.34 (95% CI, -1.16 to 0.49) days per 30 days; device use time: relative difference, -0.07 (95% CI, -0.29 to 0.16) hours per day. CONCLUSIONS: Health4Life was not more effective than usual school year 7 health education for modifying adolescent risk factors for chronic disease. Future e-health multiple health behaviour change intervention research should examine the timing and length of the intervention, as well as increasing the number of engagement strategies (eg, goal setting) during the intervention. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry: ACTRN12619000431123 (prospective).

SMART Family and Friends: Feasibility and outcomes of a video-conference delivered intervention for families impacted by another's methamphetamine use.

INTRODUCTION: Families affected by another's substance use, including methamphetamine, experience harms to their mental and physical health. Yet, research has paid little attention to support and service needs of this population. This pilot study examines the feasibility and outcomes of SMART Family and Friends, a video-conference-delivered mutual-support group targeting families affected by another's methamphetamine use. METHODS: Recruitment for this study occurred between March-October 2021 via the SMART Recovery Australia website. Participants were English-speaking Australian residents, ≥18 years, affected by another's methamphetamine use, interested in participating in a manualised eight-module group delivered via video-conferencing. Feasibility was evaluated by attendance rates, participant satisfaction, fidelity ratings, and semi-structured interviews. Measures of distress, quality of life, and family functioning assessed outcomes at baseline and one-month post-treatment conclusion. RESULTS: Forty-three participants commenced SMART Family and Friends groups. 84 % (n = 36) completed ≥4 modules, 67 % (n = 29) completed ≥6, and 42 % (n = 18) completed all 8 modules. Participant satisfaction (M = 4.32, SD = 0.66, out of 5) and facilitator fidelity (>94 % for all modules) were high. A within-group analysis, without comparison condition demonstrated significant improvements in psychological distress (d = 0.38), family impact (d = 0.64), family strain symptoms (d = 0.48), and total family burden (d = 0.69) post-treatment. Qualitative findings illustrated the benefits and challenges of the video-conference-delivered group, as well as recommendations for improvement. CONCLUSIONS: Results provide initial support for the feasibility and positive outcomes of the SMART Family and Friends program. These findings demonstrate the successful provision of a mutual-support group for affected families delivered via video-conferencing, and merit further sufficiently powered randomised-control-trials to evaluate efficacy.

Data from four consecutive cohorts of students in Australia (2019-2022) show the impact of the COVID-19 pandemic on domestic and international university students' mental health.

INTRODUCTION: COVID-19 and related travel and social restrictions caused significant stress for university students in Australia and globally. Learning quickly moved online and many students (particularly international students) were separated from social and economic support. This study examined the impact of the pandemic from pre-pandemic (2019) to the COVID-19 Omicron wave (2022) on domestic and international students' mental health. METHODS: Participants were 1540 students (72% females, 28% international) in four first-year cohorts (2019, 2020, 2021, 2022). We screened for mental health concerns (% positive) and symptom scores for depression, anxiety and somatic distress using the PsyCheck, and general wellbeing using the Warwick-Edinburgh Mental Well-being scale. RESULTS: From pre-COVID (2019) to the first wave of COVID-19 (2020), the proportion of students screening positive for mental health problems rose in both domestic students (66-76%) and international students (46-67%). Depression symptoms and wellbeing were worse in 2020 than in 2019, 2021 and 2022. Anxiety symptoms increased from 2019 to 2020 and continued to rise in 2021 and 2022. Somatic symptoms did not show an effect of cohort. Contrary to expectations, domestic students reported higher distress and lower wellbeing than international students across cohorts. CONCLUSION: The pandemic was associated with a marked increase in psychological distress in first-year university students, not all of which settled with the easing of restrictions. Post-pandemic recovery in the Australian university sector must include university-wide access to mental health information and support for incoming students.

A three-arm randomised controlled trial of a telehealth intervention targeting improvement in addictive eating for Australian adults (the TRACE program).

There is a substantial research base for addictive eating with development of interventions. The current 3-arm RCT aimed to investigate the efficacy of the TRACE (Targeted Research for Addictive and Compulsive Eating) program to decrease addictive eating symptoms and improve mental health. Participants (18-85 yrs) endorsing ≥3 addictive eating symptoms were randomly allocated to 1) active intervention, 2) passive intervention, or 3) control group. Primary outcome was change in addictive eating symptoms 3-months post-baseline measured by the Yale Food Addiction Scale. Depression, anxiety and stress were also assessed. A total of 175 individuals were randomised. Using Linear Mixed Models, from baseline to 3-months, there was significant improvement in symptom scores in all groups with mean decrease of 4.7 (95% CI: -5.8, -3.6; p < 0.001), 3.8 (95% CI: -5.2, -2.4; p < 0.001) and 1.5 (95% CI: -2.6, -0.4; p = 0.01) respectively. Compared with the control group, participants in the active intervention were five times more likely to achieve a clinically significant change in symptom scores. There was a significant reduction in depression scores in the active and passive intervention groups, but not control group [-2.9 (95% CI: -4.5, -1.3); -2.3 (95% CI: -4.3, -0.3); 0.5 (95% CI: -1.1, 2.1), respectively]; a significant reduction in stress scores within the active group, but not passive intervention or control groups [-1.3 (95% CI: -2.2, -0.5); -1.0 (95% CI: -2.1, 0.1); 0.4 (95% CI: -0.5, 1.2), respectively]; and the reduction in anxiety scores over time was similar for all groups. A dietitian-led telehealth intervention for addictive eating in adults was more effective than a passive or control condition in reducing addictive eating scores from baseline to 6 months. Trial registration: Australia New Zealand Clinical Trial Registry ACTRN12621001079831.

Prevalence and correlates of positive parental attitudes towards cannabis use and use intention in Australia during 2016 and 2019.

INTRODUCTION: With recent policy changes around medicinal cannabis in Australia, there is concern about the influence of changing norms of cannabis use on adults who are actively parenting. METHODS: This repeated cross-sectional population study used National and Drug Strategy and Household Surveys to estimate the changes and correlates of cannabis-related attitudes (support of legalisation, approve of regular use, would try or use if legal) among Australian parents from 2016 to 2019. RESULTS: The estimated proportion of parents who supported legalisation and approved regular cannabis use increased significantly. Parents who would try cannabis if it was legal grew from 5.9% (95 %CI: 5.2, 6.7) to 8.1% (95 %CI: 7.2, 9.0). Parents who said they would use cannabis more often increased from 1.6 (95 % CI: 1.2, 1.9) to 2.9 (95 %CI: 2.4, 3.4), an 81% jump in the three years. The strongest associations were observed between a very high level of psychological distress and regular smoking and drinking. For example, people with a very high level of psychological distress were 2.16 times (95 %CI: 1.42, 3.28) and 2.48 times (95 %CI: 1.61, 3.83) more likely to approve legalisation and regular cannabis use, respectively. Daily drinking was associated with higher odds of trying cannabis (OR = 1.66; CI: 1.25-2.20). DISCUSSION AND CONCLUSION: The proportion of parents who would try or use cannabis more often represents a sizeable pool of potential new and frequent users. This highlights the need for education and intervention strategies for parents who use cannabis and care for young children. The associations between mental health and substance use suggest that more research is needed to understand the impact of legalisation on vulnerable groups.

Co-designing a digital mental health platform, "Momentum", with young people aged 7-17: A qualitative study.

Introduction: Digital mental health interventions (DMHIs) offer a promising alternative or adjunct treatment method to face-to-face treatment, overcoming barriers associated with stigma, access, and cost. This project is embedded in user experience and co-design to enhance the potential acceptability, usability and integration of digital platforms into youth mental health services. Objective: To co-design a digital mental health platform that provides self-directed, tailored, and modularised treatment for young people aged 7-17 years experiencing anxiety, depression and other related problems. Methods: Sixty-eight participants, aged 7-17 years, engaged in one of 20 co-design workshops. Eight workshops involved children (n = 26, m = 9.42 years, sd = 1.27) and 12 involved adolescents (n = 42, m = 14.57 years, sd = 1.89). Participants engaged in a variety of co-design activities (e.g., designing a website home page and rating self-report assessment features). Workshop transcripts and artefacts (e.g., participants' drawings) were thematically analysed using Gale et al.'s Framework Method in NVivo. Results: Six themes were identified: Interactive; Relatable; Customisable; Intuitive; Inclusive; and Personalised, transparent and trustworthy content. The analysis revealed differences between children's and adolescents' designs and ideas, supporting the need for two different versions of the platform, with age-appropriate activities, features, terminology, and content. Conclusions: This research showcased co-design as a powerful tool to facilitate collaboration with young people in designing DMHIs. Two sets of recommendations were produced: 1) recommendations for the design, functionality, and content of youth DMHIs, supported by child- and adolescent-designed strategies; and 2) recommendations for clinicians and researchers planning to conduct co-design and intervention development research with children and adolescents.

Study protocol: implementing and evaluating a trauma-informed model of care in residential youth treatment for substance use disorders.

Introduction: Comorbidity between Substance Use Disorders and trauma/post-traumatic stress disorder (PTSD) is common, particularly within residential treatment services. Comorbidity is associated with poorer treatment retention and treatment outcomes. Integrated treatment approaches are increasingly recommended but are still under examined in residential treatment services. This study will implement and evaluate a novel model of trauma-informed care (TIC) in a youth (18-35 years) residential substance use treatment service. Methods and analysis: A single-armed, phase 1 implementation trial will be conducted in one residential treatment service. The model, co-developed with staff, incorporates: (i) workforce development in TIC through staff training and clinical supervision; adaptions to the service (ii) policies, procedures, and physical settings and (iii) treatment program adaptions (in delivery style and content) to be more trauma-informed; (iv) client screening and feedback for trauma and PTSD at service entry; and (v) the provision of support, referral and/or trauma-focused therapy to those with PTSD. Service outcomes will include adherence to the TIC model and client treatment completion. Client substance use and mental health measures will be collected at service entry, and 1-, 3-, 6- and 12-months follow up. Staff outcomes, including workplace satisfaction, burnout, and fatigue, as well as perceptions and confidence in delivering TIC will be collected at baseline, and at 3-, 6-, 12- and 18-months following training in the model. The sustainability of the delivery of the TIC model of care will be evaluated for 12 months using service and staff outcomes. Ethics and dissemination: The study has received ethical approval by the University of Queensland (Approval number: 2020000949). The results will be disseminated through publication in a peer-reviewed scientific journal, presentations at scientific conferences, and distributed via a report and presentations to the partner organization.Clinical trial registration: ACTRN12621000492853.

The benefits and challenges of virtual SMART recovery mutual-help groups: Participant and facilitator perspectives.

BACKGROUND: COVID-19 prompted widespread transition of face-to-face mutual-help groups to virtual delivery. Current understanding of the experience of virtual mutual-help groups is limited to 12-step approaches or asynchronous groups (e.g., forums). This paper explores participant and facilitator perspectives regarding the benefits and challenges of accessing SMART Recovery mutual-help groups virtually via videoconference. METHODS: A self-selected convenience sample of participants (n = 29) and facilitators (n = 15) from SMART Recovery mutual-help groups in Australia were enrolled. Participants and facilitators were sampled to reflect experience of virtual groups delivered via videoconference ('online'), face-to-face groups ('face-to-face') or both types of groups ('both'). Telephone qualitative interviews were conducted using a semi-structured interview guide. Interviews were audio-recorded, transcribed, and analysed using iterative categorisation. RESULTS: Participant and facilitators discussed their experience across eight interconnected themes benefits were typically discussed with regard to the (1) availability, (2) ease of access and (3) value add of the chat feature in online groups. Challenges largely pertained to (1) in-group engagement, (2) group size, (3) non-verbal cues, (4) social interaction and (5) technology problems. The impact of these challenges on participant and facilitator experience varied, and neither modality was consistently identified as superior. CONCLUSIONS: SMART Recovery mutual-help groups provided participants with another option for accessing mutual-help and appealed to different people under different circumstances. Depending on the needs and preferences of the individual, online SMART Recovery mutual-help groups may help to mitigate a range of barriers to help seeking and may also engage people otherwise unable or reluctant to engage in treatment. To inform training, practice and policy, improved understanding of the individual and contextual factors that enhance participant engagement, experience and outcomes is needed.

Examining the efficacy of a telehealth intervention targeting addictive eating in Australian adults (the TRACE Programme): a randomised controlled trial protocol.

INTRODUCTION: Approximately 15%-20% of the adult population self-report symptoms of addictive eating. There are currently limited options for management. Motivational interviewing-based interventions, containing personalised coping skills training, have been found to be effective for behaviour change in addictive disorders (eg, alcohol). This project builds upon foundations of an addictive eating feasibility study previously conducted and co-design process involving consumers. The primary aim of this study is to examine the efficacy of a telehealth intervention targeting addictive eating symptoms in Australian adults compared with passive intervention and control groups. METHODS AND ANALYSIS: This three-arm randomised controlled trial will recruit participants 18-85 years, endorsing ≥3 symptoms on the Yale Food Addiction Scale (YFAS) 2.0, with body mass index >18.5 kg/m2. Addictive eating symptoms are assessed at baseline (pre-intervention), 3 months (post-intervention) and 6 months. Other outcomes include dietary intake and quality, depression, anxiety, stress, quality of life, physical activity and sleep hygiene. Using a multicomponent clinician-led approach, the active intervention consists of five telehealth sessions (15-45 min each) delivered by a dietitian over 3 months. The intervention uses personalised feedback, skill-building exercises, reflective activities and goal setting. Participants are provided with a workbook and website access. The passive intervention group receives the intervention via a self-guided approach with access to the workbook and website (no telehealth). The control group receives personalised written dietary feedback at baseline and participants advised to follow their usual dietary pattern for 6 months. The control group will be offered the passive intervention after 6 months. The primary endpoint is YFAS symptom scores at 3 months. A cost-consequence analysis will determine intervention costs alongside mean change outcomes. ETHICS AND DISSEMINATION: Human Research Ethics Committee of University of Newcastle, Australia provided approval (H-2021-0100). Findings will be disseminated via publication in peer-reviewed journals, conference presentations, community presentations and student theses. TRIAL REGISTRATION NUMBER: Australia New Zealand Clinical Trials Registry (ACTRN12621001079831).

Reliability of online self-report versions of the Australian Treatment Outcome Profile (ATOP) and Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) among people in residential treatment for substance use problems.

BACKGROUND: Online self-report measures are resource-efficient and widely used for monitoring substance use, yet few studies have assessed their reliability. This study assessed the reliability of online self-report versions of the Australian Treatment Outcomes Profile (ATOP) and Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) among people seeking treatment for substance use problems. PROCEDURES: One-hundred and five clients entering residential treatment for substance use problems (Mage = 33.34, 65% male) were recruited from two facilities in Queensland, Australia. Using a repeated-measures design, we compared online self-report with the original interview versions of the ASSIST, which measured (i) lifetime substance use and (ii) past 3-month substance-use and related harms, and the ATOP, which measured (i) past month frequency of substance use and (ii) the typical quantity used per day. Assessments were administered 1-7 days apart. FINDINGS: The ATOP demonstrated moderate-excellent inter-rater reliability for the past month use (yes/no) for all substance types, but had poor reliability for alcohol and cannabis. ATOP reliability was high-excellent for the total number of days used in the past month for all substances. The ASSIST demonstrated moderate-excellent inter-rater reliability for substance-use and related harms for all substances except tobacco, however was poor for lifetime use for most substances due to greater reporting in the interview assessment. CONCLUSIONS: Reliable responding was observed for the frequency of substance use in the past month on the ATOP, and past 3-month substance-use and related harms on the ASSIST. These findings support use of online-self report measures a resource-efficient method to monitor substance use. Underreporting of lifetime use was found in self-report online version of the ASSIST, highlighting the need for improved instruction or interviewer/clinician assistance for lifetime use.

Study protocol of the Our Futures Vaping Trial: a cluster randomised controlled trial of a school-based eHealth intervention to prevent e-cigarette use among adolescents.

BACKGROUND: Effective and scalable prevention approaches are urgently needed to address the rapidly increasing rates of e-cigarette use among adolescents. School-based eHealth interventions can be an efficient, effective, and economical approach, yet there are none targeting e-cigarettes within Australia. This paper describes the protocol of the OurFutures Vaping Trial which aims to evaluate the efficacy and cost-effectiveness of the first school-based eHealth intervention targeting e-cigarettes in Australia. METHODS: A two-arm cluster randomised controlled trial will be conducted among Year 7 and 8 students (aged 12-14 years) in 42 secondary schools across New South Wales, Western Australia and Queensland, Australia. Using stratified block randomisation, schools will be assigned to either the OurFutures Vaping Program intervention group or an active control group (health education as usual). The intervention consists of four web-based cartoon lessons and accompanying activities delivered during health education over a four-week period. Whilst primarily focused on e-cigarette use, the program simultaneously addresses tobacco cigarette use. Students will complete online self-report surveys at baseline, post-intervention, 6-, 12-, 24-, and 36-months after baseline. The primary outcome is the uptake of e-cigarette use at 12-month follow-up. Secondary outcomes include the uptake of tobacco smoking, frequency/quantity of e-cigarettes use and tobacco smoking, intentions to use e-cigarettes/tobacco cigarettes, knowledge about e-cigarettes/tobacco cigarettes, motives and attitudes relating to e-cigarettes, self-efficacy to resist peer pressure and refuse e-cigarettes, mental health, quality of life, and resource utilisation. Generalized mixed effects regression will investigate whether receiving the intervention reduces the likelihood of primary and secondary outcomes. Cost-effectiveness and the effect on primary and secondary outcomes will also be examined over the longer-term. DISCUSSION: If effective, the intervention will be readily accessible to schools via the OurFutures platform and has the potential to make substantial health and economic impact. Without such intervention, young Australians will be the first generation to use nicotine at higher rates than previous generations, thereby undoing decades of effective tobacco control. TRIAL REGISTRATION: The trial has been prospectively registered with the Australian and New Zealand Clinical Trials Registry (ACTRN12623000022662; date registered: 10/01/2023).

Health4Life eHealth intervention to modify multiple lifestyle risk behaviours among adolescent students in Australia: a cluster-randomised controlled trial.

BACKGROUND: Lifestyle risk behaviours are prevalent among adolescents and commonly co-occur, but current intervention approaches tend to focus on single risk behaviours. This study aimed to evaluate the efficacy of the eHealth intervention Health4Life in modifying six key lifestyle risk behaviours (ie, alcohol use, tobacco smoking, recreational screen time, physical inactivity, poor diet, and poor sleep, known as the Big 6) among adolescents. METHODS: We conducted a cluster-randomised controlled trial in secondary schools that had a minimum of 30 year 7 students, in three Australian states. A biostatistician randomly allocated schools (1:1) to Health4Life (a six-module, web-based programme and accompanying smartphone app) or an active control group (usual health education) with the Blockrand function in R, stratified by site and school gender composition. All students aged 11-13 years who were fluent in English and attended participating schools were eligible. Teachers, students, and researchers were not masked to allocation. Primary outcomes were alcohol use, tobacco use, recreational screen time, moderate to vigorous physical activity (MVPA), sugar-sweetened beverage intake, and sleep duration at 24 months, measured by self-report surveys, and analysed in all students who were eligible at baseline. Latent growth models estimated between-group change over time. This trial is registered with the Australian New Zealand Clinical Trials Registry (ACTRN12619000431123). FINDINGS: Between April 1, 2019, and Sept 27, 2019, we recruited 85 schools (9280 students), of which 71 schools with 6640 eligible students (36 schools [3610 students] assigned to the intervention and 35 [3030 students] to the control) completed the baseline survey. 14 schools were excluded from the final analysis or withdrew, mostly due to a lack of time. We found no between-group differences for alcohol use (odds ratio 1·24, 95% CI 0·58-2·64), smoking (1·68, 0·76-3·72), screen time (0·79, 0·59-1·06), MVPA (0·82, 0·62-1·09), sugar-sweetened beverage intake (1·02, 0·82-1·26), or sleep (0·91, 0·72-1·14) at 24 months. No adverse events were reported during this trial. INTERPRETATION: Health4Life was not effective in modifying risk behaviours. Our results provide new knowledge about eHealth multiple health behaviour change interventions. However, further research is needed to improve efficacy. FUNDING: Paul Ramsay Foundation, the Australian National Health and Medical Research Council, the Australian Government Department of Health and Aged Care, and the US National Institutes of Health.

Efficacy of technology-based personalised feedback on diet quality in young Australian adults: results for the advice, ideas and motivation for my eating (Aim4Me) randomised controlled trial.

OBJECTIVE: Web-based dietary interventions could support healthy eating. The Advice, Ideas and Motivation for My Eating (Aim4Me) trial investigated the impact of three levels of personalised web-based dietary feedback on diet quality in young adults. Secondary aims were to investigate participant retention, engagement and satisfaction. DESIGN: Randomised controlled trial. SETTING: Web-based intervention for young adults living in Australia. PARTICIPANTS: 18-24-year-olds recruited across Australia were randomised to Group 1 (control: brief diet quality feedback), Group 2 (comprehensive feedback on nutritional adequacy + website nutrition resources) or Group 3 (30-min dietitian consultation + Group 2 elements). Australian Recommended Food Score (ARFS) was the primary outcome. The ARFS subscales and percentage energy from nutrient-rich foods (secondary outcomes) were analysed at 3, 6 and 12 months using generalised linear mixed models. Engagement was measured with usage statistics and satisfaction with a process evaluation questionnaire. RESULTS: Participants (n 1005, 85 % female, mean age 21·7 ± 2·0 years) were randomised to Group 1 (n 343), Group 2 (n 325) and Group 3 (n 337). Overall, 32 (3 %), 88 (9 %) and 141 (14 %) participants were retained at 3, 6 and 12 months, respectively. Only fifty-two participants (15 % of Group 3) completed the dietitian consultation. No significant group-by-time interactions were observed (P > 0·05). The proportion of participants who visited the thirteen website pages ranged from 0·6 % to 75 %. Half (Group 2 = 53 %, Group 3 = 52 %) of participants who completed the process evaluation (Group 2, n 111; Group 3, n 90) were satisfied with the programme. CONCLUSION: Recruiting and retaining young adults in web-based dietary interventions are challenging. Future research should consider ways to optimise these interventions, including co-design methods.

Cannabis use in sub-Saharan Africa: A systematic review and meta-analysis.

BACKGROUND AND AIMS: The most available data on the prevalence of cannabis use come from population surveys conducted in high-income countries in North America, Oceania and Europe. Less is known about the prevalence of cannabis use in Africa. This systematic review aimed to summarize general population-level cannabis use in sub-Saharan Africa since 2010. METHODS: A comprehensive search was conducted in PubMed, EMBASE, PsycINFO and AJOL databases in addition to Global Health Data Exchange and grey literature without language restriction. Search terms related to 'substance', 'Substance-Related Disorders' and 'Prevalence' and 'Africa South of the Sahara' were used. Studies that reported cannabis use in the general population were selected, while studies from clinical populations and high-risk groups were excluded. Prevalence data on cannabis use in the general population of adolescents (10-17 years) and adults (≥ 18 years) in sub-Saharan Africa were extracted. RESULTS: The study included 53 studies for the quantitative meta-analysis and included 13 239 participants. Among adolescents, the life-time, 12-month and 6-month prevalence of cannabis use were 7.9% [95% confidence interval (CI) = 5.4-10.9%], 5.2% (95% CI = 1.7-10.3%) and 4.5% (95% CI = 3.3-5.8%), respectively. The corresponding life-time, 12-month and 6-month prevalence of cannabis use among adults were 12.6% (95% CI = 6.1-21.2%), 2.2% (95% CI = 1.7-2.7%, with data only available from Tanzania and Uganda) and 4.7% (95% CI = 3.3-6.4%), respectively. The male-to-female life-time cannabis use relative risk was 1.90 (95% CI = 1.25-2.98) among adolescents and 1.67 (CI = 0.63-4.39) among adults. CONCLUSIONS: Life-time cannabis use prevalence in sub-Saharan Africa appears to be approximately 12% for adults and just under 8% for adolescents.

Student perceptions of the current drinking culture in three Australian residential colleges: Drinking motives, consequences and recommendations for harm minimisation strategies.

INTRODUCTION: Systemic cultural factors related to excessive alcohol consumption have been identified in Australian university residential colleges. In this mixed methods study, we conducted focus groups with student leaders at three Australian residential colleges. We aimed to explore students' perceptions of alcohol use and related consequences in their current college environment and gather feedback from students on the utility of alcohol harm minimisation strategies in this context. METHODS: In November 2020, 77 student leaders from three colleges participated in focus groups. Each focus group ran for 1.5-2 hours and included three sections: (i) quantitative survey; (ii) semi-structured group interview; and (iii) feedback on a potential alcohol harm minimisation workshop. RESULTS: The survey revealed that 81% of participants reported drinking hazardously. Thematic analysis of the interview data indicated many students perceived college as a supportive environment regarding students' alcohol use choices (direct peer pressure to drink was uncommon). However, indirect social influence to drink appeared to maintain a 'culture of intoxication'. Specifically, social norms to attend college events (where drinking is implied) and modelling of excessive drinking were key indirect influences on heavy drinking norms. Students were aware and accepting of many alcohol harm minimisation strategies and interested in improving current strategies. DISCUSSION AND CONCLUSIONS: Despite the supportive college environment described by students, regarding alcohol use choices, a 'culture of intoxication' driven by indirect social influences was evident. Student leaders' interest in increasing the availability of harm minimisation strategies highlights the potential utility of peer-led alcohol interventions in colleges.

Evaluating the effectiveness of a universal eHealth school-based prevention programme for depression and anxiety, and the moderating role of friendship network characteristics.

BACKGROUND: Lifetime trajectories of mental ill-health are often established during adolescence. Effective interventions to prevent the emergence of mental health problems are needed. In the current study we assessed the efficacy of the cognitive behavioural therapy (CBT)-informed Climate Schools universal eHealth preventive mental health programme, relative to a control. We also explored whether the intervention had differential effects on students with varying degrees of social connectedness. METHOD: We evaluated the efficacy of the Climate Schools mental health programme (19 participating schools; average age at baseline was 13.6) v. a control group (18 participating schools; average age at baseline was 13.5) which formed part of a large cluster randomised controlled trial in Australian schools. Measures of internalising problems, depression and anxiety were collected at baseline, immediately following the intervention and at 6-, 12- and 18-months post intervention. Immediately following the intervention, 2539 students provided data on at least one outcome of interest (2065 students at 18 months post intervention). RESULTS: Compared to controls, we found evidence that the standalone mental health intervention improved knowledge of mental health, however there was no evidence that the intervention improved other mental health outcomes, relative to a control. Student's social connectedness did not influence intervention outcomes. CONCLUSION: These results are consistent with recent findings that universal school-based, CBT-informed, preventive interventions for mental health have limited efficacy in improving symptoms of anxiety and depression when delivered alone. We highlight the potential for combined intervention approaches, and more targeted interventions, to better improve mental health outcomes.