The InterSECT Framework: a proposed model for explaining population-level trends in substance use and emotional concerns.

Across high-income countries, adolescent emotional concerns have been increasing in prevalence over the past two decades and it is unclear why this is occurring, including whether and how substance use relates to these changing trends. On the other hand, substance use has been generally declining, and little is known about the role of emotional concerns in these trends. Several studies have explored the changes in co-occurring substance use and emotional concerns among adolescents over time, with mixed results and inconsistent messaging about the implications of the findings. In response, we developed a theoretical framework for exploring the intersection between trends in substance use and emotional concerns (InterSECT Framework). This framework includes a discussion and related examples for 3 core hypotheses: (1) strengthening of co-occurrence, or the "hardening" hypothesis; (2) co-occurrence staying the same, or the "consistency" hypothesis; and (3) weakening of co-occurrence, or the "decoupling" hypothesis. This framework seeks to guide the conceptualization, evaluation, and understanding of changes in the co-occurrence of substance use and emotional concerns over time, including outlining a research agenda informed by pre-existing research and youth perspectives.

The long-term effectiveness of a personality-targeted substance use prevention program on aggression from adolescence to early adulthood.

BACKGROUND: Addressing aggressive behavior in adolescence is a key step toward preventing violence and associated social and economic costs in adulthood. This study examined the secondary effects of the personality-targeted substance use preventive program Preventure on aggressive behavior from ages 13 to 20. METHODS: In total, 339 young people from nine independent schools (M age = 13.03 years, s.d. = 0.47, range = 12-15) who rated highly on one of the four personality traits associated with increased substance use and other emotional/behavioral symptoms (i.e. impulsivity, anxiety sensitivity, sensation seeking, and negative thinking) were included in the analyses (n = 145 in Preventure, n = 194 in control). Self-report assessments were administered at baseline and follow-up (6 months, 1, 2, 3, 5.5, and 7 years). Overall aggression and subtypes of aggressive behaviors (proactive, reactive) were examined using multilevel mixed-effects analysis accounting for school-level clustering. RESULTS: Across the 7-year follow-up period, the average yearly reduction in the frequency of aggressive behaviors (b = -0.42; 95% confidence interval [CI] -0.64 to -0.20; p < 0.001), reactive aggression (b = -0.22; 95% CI 0.35 to -0.10; p = 0.001), and proactive aggression (b = -0.14; 95% CI -0.23 to -0.05; p = 0.002) was greater for the Preventure group compared to the control group. CONCLUSIONS: The study suggests a brief personality-targeted intervention may have long-term impacts on aggression among young people; however, this interpretation is limited by imbalance of sex ratios between study groups.

Age at first drink and its influence on alcohol use behaviours in young adulthood: Evidence from an Australian household-based panel study.

BACKGROUND: Public health guidelines recommend delaying the initiation age for alcohol. However, the causal link between age-at-first-drink (AFD) and future alcohol use in young adulthood is uncertain. This study examined the association between AFD and alcohol-related outcomes at age 20 years using an Australian sample. METHODS: Data were obtained from Waves 1-19 (years 2001-2019) of the Household, Income and Labour Dynamics in Australia Survey on 20-year-olds with responses across ≥3 consecutive waves (n = 2278). The AFD for each respondent (between 15 and 20 years) was analysed relative to Australian legal drinking age (18 years). Inverse probability treatment weighting was used to evaluate associations between AFD and four outcomes at age 20 years: risk of current alcohol use; quantity of weekly alcohol consumption; risk of binge drinking; and frequency of binge drinking. Adjustments were made for confounders (e.g., heavy drinking by parents). Robustness of study findings was evaluated using several diagnostic tests/sensitivity analyses. RESULTS: Among 20-year-olds, those with an AFD of 15-16 years consumed significantly more alcohol per week compared to an AFD of 18 years. Additionally, 20-year-old drinkers with an AFD of 16 years were significantly more likely to binge drink (though this association was likely confounded). An inverse dose-response relationship was observed between AFD and weekly alcohol consumption at 20 years, where a higher AFD led to lower alcohol consumption. CONCLUSION: Study findings indicate an association between a higher AFD and consuming less alcohol in young adulthood, which could potentially support the scale-up of prevention programs to delay AFD among Australian adolescents.

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).

Structure of psychopathology in adolescents and its association with high-risk personality traits.

The present study examined high-risk personality traits and associations with psychopathology across multiple levels of a hierarchical-dimensional model of psychopathology in a large adolescent, general population sample. Confirmatory factor analyses were run using data from two randomized controlled trials of Australian adolescents (N = 8,654, mean age = 13.01 years, 52% female). A higher-order model - comprised of general psychopathology, fear, distress, alcohol use/harms, and conduct/inattention dimensions - was selected based on model fit, reliability, and replicability. Indirect-effects models were estimated to examine the unique associations between high-risk personality traits (anxiety sensitivity, negative thinking, impulsivity, and sensation seeking) and general and specific dimensions and symptoms of psychopathology. All personality traits were positively associated with general psychopathology. After accounting for general psychopathology, anxiety sensitivity was positively associated with fear; negative thinking was positively associated with distress; impulsivity was positively associated with conduct/inattention; and sensation seeking was positively associated with alcohol use/harms and conduct/inattention, and negatively associated with fear. Several significant associations between personality traits and individual symptoms remained after accounting for general and specific psychopathology. These findings contribute to our understanding of the underlying structure of psychopathology among adolescents and have implications for the development of personality-based prevention and early intervention programs.

What set some young adults apart during the COVID-19 pandemic? Mental health trajectories, risk and protective factors in an Australian longitudinal study.

OBJECTIVE: Evidence suggests that young adults (aged 18-34) were disproportionately impacted by the COVID-19 pandemic, but little is known about their longer-term mental health changes beyond the early pandemic period. This article investigates heterogeneous trajectories of mental health among Australian young adults across 2 years of the pandemic and identifies a broad range of associated risk and protective factors. METHOD: Young adults (N = 653, Mage = 27.8 years) from the longitudinal Alone Together Study were surveyed biannually between July 2020 and June 2022. Measures assessed anxiety (7-item Generalised Anxiety Disorder scale) and depression (9-item Patient Health Questionnaire) symptoms at Waves 1-4, as well as demographic, psychological, adversity and COVID-19 factors at baseline. RESULTS: Four and three distinct trajectories of anxiety and depressive symptoms, respectively, were identified through growth mixture modelling. The proportion of participants in each anxiety trajectory were Asymptomatic (45.9%), Mild Stable (17.9%), Moderate-Severe Stable (31.1%) and Initially Severe/Recovering (5.1%). For depression, Mild Stable (58.3%), Moderate-Severe Stable (30.5%) and Reactive/Recovering (11.2%). Baseline factors associated with severe symptom trajectories included a lifetime mental health disorder, pre-pandemic stressful events, identifying as LGBTQIA+ and/or female, and experiencing one or more infection-control measures. Higher household income was protective. CONCLUSION: Most young adults demonstrated stable trajectories of low or high symptoms during the pandemic, with smaller groups showing initially severe or reactive symptoms followed by marked improvements over time. Vulnerable subgroups (gender- or sexuality-diverse, those with prior adversity or pre-existing mental ill-health) may face ongoing impacts and require targeted psychosocial supports to assist their mental health recovery post-COVID-19 and in the event of future crises.

The epidemiology of mental and substance use disorders in Australia 2020-22: Prevalence, socio-demographic correlates, severity, impairment and changes over time.

OBJECTIVE: Mental and substance use disorders are the leading causes of disability worldwide. Contemporary estimates of prevalence, severity and impairment are essential for service planning. This study provides estimates of prevalence, severity, impairment and demographic correlates of mental and substance use disorders in 2020-22 and changes in prevalence since 2007. METHODS: Data were from the two Australian National Surveys of Mental Health and Wellbeing conducted in 2020-22 (N = 15,893) and 2007 (N = 8841). Descriptive statistics report prevalence of lifetime and 12-month mental and substance use disorder by sex and age, proportion of people with each mental disorder by levels of severity (mild, moderate and severe) and mean days out of role by mental disorder class (mood, anxiety, substance use). Logistic regression analyses examined demographic correlates of mental disorder class and assessed changes over time. RESULTS: The lifetime prevalence of any mental or substance use disorder in 2020-22 was 40.2%. The 12-month prevalence was 20.2% (mood disorder - 7.4%, anxiety disorder - 15.7% and substance use disorder - 3.1%). Mood disorders were associated with significant impairment. The prevalence of mental disorders has changed over time, with mood and anxiety disorders increasing and substance use disorders decreasing. These changes were most evident among young adults. CONCLUSION: Mental disorders are common in Australia. Impairment associated with mental disorders remains significant. Particular focus should be paid to young adults aged 16-24 years who have shown the largest increases in anxiety and mood disorder prevalence over the past 13 years.

Potential Mediators of a School-Based Digital Intervention Targeting Six Lifestyle Risk Behaviours in a Cluster Randomised Controlled Trial of Australian Adolescents.

Lifestyle risk behaviours-physical inactivity, poor diet, poor sleep, recreational screen time, and alcohol and tobacco use-collectively known as the "Big 6" emerge during adolescence and significantly contribute to chronic disease development into adulthood. To address this issue, the Health4Life program targeted the Big 6 risk behaviours simultaneously via a co-designed eHealth school-based multiple health behaviour change (MHBC) intervention. This study used multiple causal mediation analysis to investigate some potential mediators of Health4Life's effects on the Big 6 primary outcomes from a cluster randomised controlled trial of Health4Life among Australian school children. Mediators of knowledge, behavioural intentions, self-efficacy, and self-control were assessed. The results revealed a complex pattern of mediation effects across different outcomes. Whilst there was a direct effect of the intervention on reducing moderate-to-vigorous physical activity risk, the impact on sleep duration appeared to occur indirectly through the hypothesised mediators. Conversely, for alcohol and tobacco use, both direct and indirect effects were observed in opposite directions cancelling out the total effect (competitive partial mediation). The intervention's effects on alcohol and tobacco use highlighted complexities, suggesting the involvement of additional undetected mediators. However, little evidence supported mediation for screen time and sugar-sweetened beverage intake risk. These findings emphasise the need for tailored approaches when addressing different risk behaviours and designing effective interventions to target multiple health risk behaviours. The trial was pre-registered with the Australian and New Zealand Clinical Trials Registry: ACTRN12619000431123.

Co-design of digital public health substance use resources: A collaboration between young people and experts.

ISSUE ADDRESSED: Substance use and mental illness remain critical issues for young Australians, however, engagement with evidence-based health resources is challenging among this age group. This study aimed to develop engaging, useful digital health resources, underpinned by neuroscience principles, to build awareness of the harms of electronic cigarettes (e-cigarettes) and concurrent alcohol and antidepressant use. METHODS: A mixed-methods approach was adopted to co-design two evidence-based videos resources. The resources were co-designed with the Matilda Centre's Youth Advisory Board Centre's Youth Advisory Board through a series focus groups and individual feedback reviews. Young people residing in New South Wales were then invited to complete a survey to evaluate the usefulness, relatability and impact on perceived harms associated with each substance pre- and post-viewing resources. RESULTS: A total of 100 participants completed the survey (mean age = 21.5 years, SD = 2.77, 42% Female, 2% Non-binary). The animated videos were well received, with the large majority (91% and 87% respectively) of participants rating them 'excellent' or 'very good'. After viewing the videos, there was a significant increase in the perception of harm associated with e-cigarette use, monthly (t(99) = 2.76, p = .003), weekly (t(99) = 4.82, p < .001) and daily (t(99) = 4.92, p < .001), and consuming alcohol whilst taking antidepressants both weekly (t(100) = 2.93, p = .004) and daily (t(100) = 3.13, p = .002). CONCLUSIONS: This study describes a successful co-design process demonstrating how meaningful involvement of young people, alongside traditional research methods, can produce substance use prevention resources that are useful, engaging and increase knowledge of harms among young people. SO WHAT?: To achieve meaningful public health impact researchers, experts and digital creators can work together to co-create substance use educational materials that are engaging, well-liked, while imparting important health knowledge.

Exploring the association between adolescent-perceived parental monitoring on dietary intake.

Parenting practices such as parental monitoring are known to positively impact dietary behaviours in offspring. However, links between adolescent-perceived parental monitoring and dietary outcomes have rarely been examined and never in an Australian context. This study investigated whether adolescent-perceived parental monitoring is associated with more fruit and vegetable, and less sugar-sweetened beverages (SSB) and junk food consumption in Australian adolescents. Cross-sectional data was collected as part of baseline measurement for a randomised controlled trial in 71 Australian schools in 2019. Self-reported fruit, vegetable, SSB and junk food intake, perceived parental monitoring and sociodemographic factors were assessed. Each dietary variable was converted to "not at risk/at risk" based on dietary guidelines, binary logistic regressions examined associations between dietary intake variables and perceived parental monitoring while controlling for gender and socio-economic status. The study was registered in ANZCTR clinical trials. The sample comprised 6053 adolescents (Mage = 12.7, SD = 0.5; 50.6% male-identifying). The mean parental monitoring score was 20.1/24 (SD = 4.76) for males and 21.9/24 (SD = 3.37) for females. Compared to adolescents who perceived lower levels of parental monitoring, adolescents reporting higher parental monitoring had higher odds of insufficient fruit (OR = 1.03; 95% CI = 1.02-1.05) and excessive SSB (OR = 1.07; 95% CI = 1.06-1.09) intake, but lower odds of excessive junk food (OR = 0.96; 95% CI = 0.95-0.98) and insufficient vegetable (OR = 0.97, 95% CI = 0.96-0.99) intake. Adolescent dietary intake is associated with higher perceived parental monitoring; however, these associations for fruit and SSB differ to junk food and vegetable intake. This study may have implications for prevention interventions for parents, identifying how this modifiable parenting factor is related to adolescent diet has highlighted how complex the psychological and environmental factors contributing to dietary intake are.

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.

The 3-year effects of a personality-targeted prevention program on general and specific dimensions of psychopathology.

This study aimed to examine the effect of a personality-targeted prevention program (Preventure) on trajectories of general and specific dimensions of psychopathology from early- to mid-adolescence. Australian adolescents (N = 2190) from 26 schools participated in a cluster randomized controlled substance use prevention trial. This study compared schools allocated to deliver Preventure (n = 13 schools; n = 466 students; Mage = 13.42 years), a personality-targeted selective intervention, with a control group (n = 7 schools; n = 235 students, Mage = 13.47 years). All participants were assessed for psychopathology symptoms at baseline, 6-, 12-, 24- and 36-months post-baseline. Outcomes were a general psychopathology factor and four specific factors: fear, distress, alcohol use/harms and conduct/inattention), extracted from a higher-order model. Participants who screened as 'high-risk' on at least one of four personality traits (negative thinking, anxiety sensitivity, impulsivity and sensation seeking) were included in intention-to-treat analyses. Intervention effects were examined using multi-level mixed models accounting for school-level clustering. Among high-risk adolescents, growth in general psychopathology was slower in the Preventure group compared to the control group (b = -0.07, p = 0.038) across the three years. After controlling for effects on general psychopathology, there were no significant, additional effects on the lower order factors. This study provides evidence for the effectiveness of a selective personality-targeted intervention in altering trajectories of general psychopathology during adolescence. This finding represents impacts on multiple symptom domains and highlights the potential for general psychopathology as an intervention target.

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).

Multiple lifestyle risk behaviours and hierarchical dimensions of psychopathology in 6640 Australian adolescents.

OBJECTIVE: Physical inactivity, sugar sweetened beverage consumption, alcohol use, smoking, poor sleep and excessive recreational screen time (the 'Big 6' lifestyle risk behaviours) often co-occur and are key risk factors for psychopathology. However, the best fitting latent structure of the Big 6 is unknown and links between multiple lifestyle risk behaviours and hierarchical dimensions of psychopathology have not been explored among adolescents. This study aimed to address these gaps in the literature. METHODS: Confirmatory factor analysis, latent class analysis and factor mixture models were conducted among 6640 students (Mage = 12.7 years) to identify the latent structure of the Big 6 lifestyle risk behaviours. Structural equation models were then used to examine associations with psychopathology. RESULTS: A mixture model with three classes, capturing mean differences in a single latent factor indexing overall risk behaviours, emerged as the best fitting model. This included relatively low-risk (Class 1: 30%), moderate-risk (Class 2: 67%) and high-risk (Class 3: 3%) classes. Students high on externalizing demonstrated significantly greater odds of membership to the high-risk class (odds ratio = 8.75, 99% confidence interval = [3.30, 23.26]) and moderate-risk class (odds ratio = 2.93, 99% confidence interval = [1.43, 5.97]) in comparison to the low-risk class. Similarly, students high on internalizing demonstrated significantly higher odds of membership to the high-risk class (odds ratio = 1.89, 99% confidence interval = [1.06, 3.37]) and the moderate-risk class (odds ratio = 1.66, 99% confidence interval = [1.03, 2.67]) in comparison to the low-risk class. Associations between lower order factors of psychopathology and lifestyle risk behaviours were mostly accounted for by the more parsimonious higher order factors. CONCLUSION: Classes representing differences in probabilities of the Big 6 lifestyle risk behaviours relate to varying levels of hierarchical dimensions of psychopathology, suggesting multiple health behaviour change and transdiagnostic intervention approaches may be valuable for reducing risk of psychopathology.

Prevalence and correlates of addictive eating behaviours in a large cohort of Australian adolescents.

OBJECTIVE: Research shows highly palatable foods can elicit addictive eating behaviours or 'food addiction'. Early adolescence is theorised to be a vulnerable period for the onset of addictive eating behaviours, yet minimal research has examined this. This study explored the prevalence and correlates of addictive eating behaviours in a large early adolescent sample. METHODS: 6640 Australian adolescents (Mage = 12.7 ± 0.5, 49%F) completed an online survey. Addictive eating was measured with the Child Yale Food Addiction Scale (YFAS-C). Negative-binomial generalised linear models examined associations between addictive eating symptoms and high psychological distress, energy drink consumption, sugar-sweetened beverage (SSB) consumption, alcohol use, and cigarette use. RESULTS: Mean YFAS-C symptom criteria count was 1.36 ± 1.47 (of 7). 18.3% of participants met 3+ symptoms, 7.5% endorsed impairment and 5.3% met the diagnostic threshold for food addiction. All examined behavioural and mental health variables were significantly associated with addictive eating symptoms. Effects were largest for high psychological distress and cigarette use; with those exhibiting high psychological distress meeting 0.65 more criteria (95%CI = 0.58-0.72, p < 0.001) and those who smoked a cigarette meeting 0.51 more criteria (95%CI = 0.26-0.76, p < 0.001). High psychological distress and consumption of SSB and energy drinks remained significant when modelling all predictors together. CONCLUSION: In this large adolescent study, addictive eating symptoms were common. Further research should establish directionality and causal mechanisms behind the association between mental ill-health, alcohol and tobacco use, and addictive eating behaviours. Cross-disciplinary prevention initiatives that address shared underlying risk factors for addictive eating and mental ill-health may offer efficient yet substantial public health benefits.

Feasibility of telehealth counselling pilot for people experiencing homelessness and/or complex needs: During COVID-19 and beyond.

ISSUES ADDRESSED: People experiencing homelessness and/or complex needs often require targeted health services to address unique vulnerabilities. COVID-19 restrictions acted as a barrier for this group accessing health and alcohol and other drug (AOD) treatment services. The Haymarket Foundation, an accommodation and health facility in Australia, transitioned from in-person AOD-counselling services to online consultations. Clients accessing these services were tracked, from March 2019 to November 2020, to assess the impact of the switch to telehealth on client retention. METHODS: Qualitative analysis of Haymarket clients' service experience surveys and quantitative descriptives of "no-show" (nonattended sessions) rates and survival analysis of client treatment separations were completed to assess the impact of transitioning to telehealth on client retention. RESULTS: Although the initial transition to telehealth in March 2020 minimally impacted client no-show rates, reinstated government restrictions in June/July 2020 coincided with increasing no-shows and a substantial increase in treatment exits without notice, especially amongst males. Qualitative analysis showed clients had mixed feelings towards telehealth: some attributed their dissatisfaction to the inability to build rapport with their counsellor online, or with COVID-19 in general. Others appreciated the availability and genuine care of their counsellors through either setting. CONCLUSIONS: Telehealth may be a feasible replacement for face-to-face AOD counselling for people experiencing homelessness, however further investigation needs to be conducted to understand factors associated with improved client retention. SO WHAT?: This pilot demonstrates telehealth may be a feasible ongoing feature of health promotion for vulnerable high-needs populations, including people experiencing homelessness who use substances.

A national effectiveness trial of an eHealth program to prevent alcohol and cannabis misuse: responding to the replication crisis.

BACKGROUND: The burden of disease attributable to alcohol and other drug (AOD) use in young people is considerable. Prevention can be effective, yet few programs have demonstrated replicable effects. This study aimed to replicate research behind Climate Schools: Alcohol and Cannabis course among a large cohort of adolescents. METHODS: Seventy-one secondary schools across three States participated in a cluster-randomised controlled trial. Year 8 students received either the web-based Climate Schools: Alcohol and Cannabis course (Climate, n = 3236), or health education as usual (Control, n = 3150). Outcomes were measured via self-report and reported here for baseline, 6- and 12-months for alcohol and cannabis knowledge, alcohol, cannabis use and alcohol-related harms. RESULTS: Compared to Controls, students in the Climate group showed greater increases in alcohol- [standardised mean difference (SMD) 0.51, p < 0.001] and cannabis-related knowledge (SMD 0.49, p < 0.001), less increases in the odds of drinking a full standard drink[(odds ratio (OR) 0.62, p = 0.014], and heavy episodic drinking (OR 0.49, p = 0.022). There was no evidence for differences in change over time in the odds of cannabis use (OR 0.57, p = 0.22) or alcohol harms (OR 0.73, p = 0.17). CONCLUSIONS: The current study provides support for the effectiveness of the web-based Climate Schools: Alcohol and Cannabis course in increasing knowledge and reducing the uptake of alcohol. It represents one of the first trials of a web-based AOD prevention program to replicate alcohol effects in a large and diverse sample of students. Future research and/or adaptation of the program may be warranted with respect to prevention of cannabis use and alcohol harms.

The relationship between brain structure and general psychopathology in preadolescents.

BACKGROUND: An emerging body of literature has indicated that broad, transdiagnostic dimensions of psychopathology are associated with alterations in brain structure across the life span. The current study aimed to investigate the relationship between brain structure and broad dimensions of psychopathology in the critical preadolescent period when psychopathology is emerging. METHODS: This study included baseline data from the Adolescent Brain and Cognitive Development (ABCD) Study® (n = 11,875; age range = 9-10 years; male = 52.2%). General psychopathology, externalizing, internalizing, and thought disorder dimensions were based on a higher-order model of psychopathology and estimated using Bayesian plausible values. Outcome variables included global and regional cortical volume, thickness, and surface area. RESULTS: Higher levels of psychopathology across all dimensions were associated with lower volume and surface area globally, as well as widespread and pervasive alterations across the majority of cortical and subcortical regions studied, after adjusting for sex, race/ethnicity, parental education, income, and maternal psychopathology. The relationships between general psychopathology and brain structure were attenuated when adjusting for cognitive functioning. There were no statistically significant relationships between psychopathology and cortical thickness in this sample of preadolescents. CONCLUSIONS: The current study identified lower cortical volume and surface area as transdiagnostic biomarkers for general psychopathology in preadolescence. Future research may focus on whether the widespread and pervasive relationships between general psychopathology and brain structure reflect cognitive dysfunction that is a feature across a range of mental illnesses.

Parent-based interventions to improve multiple lifestyle risk behaviors among adolescents: A systematic review and meta-analysis.

Lifestyle risk behaviors often co-occur and are prevalent among adolescents. Parent-based interventions addressing risk behaviors concurrently have the potential to improve youth and parent outcomes. This systematic review evaluated the efficacy of parent-based interventions targeting multiple lifestyle risk behaviors among adolescents and parents. MEDLINE (Ovid), Embase (Ovid), PsycInfo (Ovid), Scopus, CINAHL, the Cochrane Database of Systematic Reviews (CDSR) and Cochrane Central Register of Controlled Trials (CENTRAL) were searched from 2010-May 2021. Eligible studies were randomised controlled trials (RCTs) of parent-based interventions addressing 2+ risk behaviors: alcohol use, smoking, poor diet, physical inactivity, sedentary behaviors, and poor sleep. Studies directly targeting parents, and that assessed adolescent outcomes (11-18 years) were eligible. Where possible, random-effects meta-analysis was conducted. From 11,975 identified records, 46 publications of 36 RCTs (n = 28,322 youth, n = 7385 parents) were eligible. Parent-based interventions were associated with improved adolescent moderate-to-vigorous physical activity (MVPA) [Odds Ratio (OR) = 1.82, 95% CI = 1.18, 2.81; p = 0.007], and reduced screen time (SMD = -0.39, 95% CI = -0.62, -0.16, p = 0.0009) and discretionary food intake (SMD = -0.18; 95% CI = -0.30, -0.06; p = 0.002) compared to controls. However, there was some evidence that interventions increased the odds of ever using tobacco in the medium-term (OR = 1.47, 95% CI = 0.99, 2.18, p = 0.06) and of past month tobacco use in the long-term (OR = 1.46, 95% CI = 1.12, 1.90; p = 0.005). Overall, the quality of evidence was moderate. Parent-based interventions targeting multiple risk behaviors improved adolescent MVPA, and reduced screen time discretionary food intake. Further research is needed to address sleep problems and increase intervention efficacy, particularly for alcohol and tobacco use.

Selective personality-targeted prevention of suicidal ideation in young adolescents: post hoc analysis of data collected in a cluster randomised controlled trial.

OBJECTIVE: To assess the efficacy of a selective, personality-targeted intervention for reducing suicidal ideation in adolescents. DESIGN: Post hoc analysis of survey data collected in the Climate and Preventure (CAP) study, a cluster randomised controlled trial that compared strategies for reducing alcohol misuse by adolescents, 2012-2015. SETTING, PARTICIPANTS: Year 8 students at 16 New South Wales non-government schools and one Victorian non-government school. INTERVENTION: Preventure, a selective, personality-targeted intervention designed to help adolescents with personality risk factors for alcohol misuse, comprising two 90-minute sessions, one week apart. For our post hoc analysis, we combined data from the two CAP trial groups in which Preventure was offered (the Preventure and the Preventure/Climate Schools [a non-selective prevention strategy] groups) as the intervention group; and data from the two groups in which Preventure was not offered (usual health education only [control] and Climate Schools groups) as the control group. MAIN OUTCOME MEASURE: Difference between post hoc control and intervention groups in the change in proportions of students reporting suicidal ideation during the preceding six months (single item of Brief Symptom Inventory depression subscale) over three years. RESULTS: A total of 1636 students (mean age at baseline, 13.3 years; standard deviation, 0.5 years) were included in our analysis, of whom 1087 (66%) completed the suicidal ideation item in the three-year follow-up assessment. The post hoc control group included 755 students (nine schools), the intervention group 881 students (eight schools). After adjusting for nesting of students in schools and sex, reporting of suicidal ideation by students who had received Preventure had declined over three years, compared with the control group (per year: adjusted odds ratio, 0.80; 95% CI, 0.66-0.97). CONCLUSION: Personality-targeted selective prevention during early secondary school can have a lasting impact on suicidal ideation during adolescence. TRIAL REGISTRATION (CAP STUDY ONLY): Australian and New Zealand Clinical Trials Registry, ACTRN12612000026820 (prospective).