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).

Is low-level alcohol consumption really health-protective? A critical review of approaches to promote causal inference and recent applications.

Heavy and disordered alcohol consumption is a known risk factor for several health conditions and is associated with considerable disease burden. However, at low-to-moderate levels, evidence suggests that drinking is associated with reduced risk for certain health outcomes. Whether these findings represent genuine protective effects or mere methodological artifacts remains unclear, but has substantial consequences for policy and practice. This critical review introduces methodological advances capable of enhancing causal inference from observational research, focusing on the 'G-methods' and Mendelian Randomization. We also present and evaluate recent research applying these methods and compare findings to the existing evidence base. Future directions are proposed for improving our causal understanding of the relationships between alcohol and long-term health outcomes.

Effect of a selective personality-targeted prevention program on 7-year illicit substance related outcomes: A secondary analysis of a cluster randomized controlled trial.

BACKGROUND: This study evaluated the efficacy of the selective personality-targeted PreVenture program in reducing cannabis and stimulant use over a 7-year period spanning adolescence and early adulthood. METHODS: A cluster randomized controlled trial was conducted in 14 Australian schools. Schools were randomized to PreVenture, a brief personality-targeted selective intervention, comprising two 90-minute facilitator-led sessions delivered one week apart, or a control group (health education as usual). Only students who scored highly on one of four personality traits (anxiety sensitivity, negative thinking, impulsivity, sensation seeking) were included. Students completed online self-report questionnaires between 2012 and 2019: at baseline; post-intervention; 1-, 2-, 3-, 5.5- and 7-years post-baseline. Outcomes were past 6-months cannabis use, stimulant use (MDMA, methamphetamine or amphetamine) and cannabis-related harms. RESULTS: The sample comprised 438 adolescents (Mage=13.4 years; SD=0.47) at baseline. Retention ranged from 51% to 79% over the 7-years. Compared to controls, the PreVenture group had significantly reduced odds of annual cannabis-related harms (OR=0.78, 95% CI=0.65-0.92). However, there were no significant group differences in the growth of cannabis use (OR=0.84, 95% CI=0.69-1.02) or stimulant use (OR=1.07, 95% CI=0.91-1.25) over the 7-year period. CONCLUSIONS: PreVenture was effective in slowing the growth of cannabis-related harms over time, however owing to missing data over the 7-year trial, replication trials may be warranted to better understand the impact of the PreVenture intervention on cannabis and stimulant use among young Australians. Alternative implementation strategies, such as delivering the intervention in later adolescence and/or providing booster sessions, may be beneficial.

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 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 if 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 health (InterSECT Framework). This framework includes a discussion and related examples for three 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.

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.

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.

24-month outcomes of an eHealth universal program for students and parents to prevent adolescent alcohol use: A cluster randomized controlled trial in schools.

Background: Parents play a critical role in delaying adolescent initiation of alcohol and other drug use. However, the majority of prevention programs focus on adolescents only. This study tested the acceptability and effectiveness of an eHealth universal program for students and parents to prevent adolescent alcohol use. Methods: A cluster randomized controlled trial (RCT) was conducted between 2018 and 2020 with students from one grade level (aged 12-14 years) from 12 Australian secondary schools randomly allocated to the intervention or control conditions. Students accessed a web-based program in class and parents accessed the program online at their convenience. Data were collected via online questionnaires from students (N = 572) and parents (N = 78) at baseline, and 12- and 24- months post baseline. Multilevel, mixed effects regression models were used to analyse student data. Findings: More students in the control group reported having at least one standard alcoholic drink and engaging in heavy episodic drinking in the previous 12 months at both 12- and 24-month follow up compared to students in the intervention, however, these differences were not statistically significant. Students in the intervention group reported greater increases in alcohol-related knowledge, compared to the control students. Qualitative data from parents indicated that they found the program useful, however, the number of parents who enrolled in the research study (13.9 %) was low. Parent engagement increased following implementation of an interactive parent/adolescent homework task. Conclusions: Small sample size, low prevalence of alcohol use and parental engagement, and relatively short follow-up period may have contributed to lack of observed intervention effect, other than on alcohol-related knowledge. Parents who engaged with the program found it useful, however, implementation strategies that encourage parent-child interaction and communication may increase parent engagement for future programs.

A systematic review of economic evaluations for opioid misuse, cannabis and illicit drug use prevention.

BACKGROUND: Substance use disorders negatively affect global disease burden. Effective preventive interventions are available, but whether they provide value for money is unclear. AIMS: This review looks at the cost-effectiveness evidence of preventive interventions for cannabis use, opioid misuse and illicit drug use. METHOD: Literature search was undertaken in Medline, CINAHL, PsycINFO, EconLit through EBSCOhost and EMBASE, up to May 2021. Grey literature search was conducted as supplement. Studies included were full economic evaluations or return-on-investment (ROI) analyses for preventing opioid misuse, cannabis and illicit drug use. English-language restriction was used. Outcomes extracted were incremental cost-effectiveness ratios (ICER) or ROI ratios, with costs presented in 2019 United States dollars. Quality was assessed with the Drummond checklist. RESULTS: Eleven full economic evaluation studies were identified from 5674 citations, with all studies conducted in high-income countries. Most aimed to prevent opioid misuse (n = 4), cannabis (n = 3) or illicit drug use (n = 5). Modelling was the predominant methodology (n = 7). Five evaluated school-based universal interventions targeting children and adolescents (aged <18 years). Five cost-benefit studies reported cost-savings. One cost-effectiveness and two cost-utility analysis studies supported the cost-effectiveness of interventions, as ICERs fell under prespecified value-for-money thresholds. CONCLUSIONS: There are limited economic evaluations of preventive interventions for opioid misuse, cannabis and illicit drug use. Family-based intervention (ParentCorps), school-based interventions (Social and Emotional Training and Project ALERT) and a doctor's programme to assess patient risk of misusing narcotics ('the Network System to Prevent Doctor-Shopping for Narcotics') show promising cost-effectiveness and warrant consideration.

Is the association between psychological distress and risky alcohol consumption shifting over time? An age-period-cohort analysis of the Australian population.

This study explored age, period, and cohort effects associated with trends in psychological distress and risky alcohol consumption. Data came from 108,536 Australians aged 14-79 years old from birth cohorts between 1925-2005, endorsing past year alcohol use in the 2004-2019 Australian National Drug Strategy Household Surveys. Risky alcohol consumption was split into exceeding weekly national drinking limits (>10 drinks per week) or daily limits (>4 drinks per day). An extended hierarchical age-period-cohort model was used to investigate differential effects on trends in psychological distress. Psychological distress showed an inverse U-shape throughout the lifespan with a peak in distress at age 60. Exceeding weekly alcohol limits was positively related to psychological distress prior to age 40 while exceeding daily alcohol limits remained positively related across the lifespan. There were relatively flat period effects, with no alcohol-related changes in psychological distress across years. Lastly, psychological distress gradually increased across birth cohorts until a notable spike among Australians born from 1980-2005 alongside weakening alcohol-related cohort effects. Overall, the recent increases in psychological distress did not appear to be meaningfully explained by risky alcohol consumption though risky alcohol consumption remained an important factor to consider alongside psychological distress.

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.

Associations Between Personality Traits and Energy Balance Behaviors in Emerging Adulthood: Cross-Sectional Study.

BACKGROUND: Internalizing and externalizing personality traits are robust risk factors for substance use and mental health, and personality-targeted interventions are effective in preventing substance use and mental health problems in youth. However, there is limited evidence for how personality relates to other lifestyle risk factors, such as energy balance-related behaviors, and how this might inform prevention efforts. OBJECTIVE: This study aimed to examine concurrent cross-sectional associations between personality traits (ie, hopelessness, anxiety sensitivity, impulsivity, and sensation seeking) and sleep, diet, physical activity (PA), and sedentary behaviors (SB), 4 of the leading risk factors for chronic disease, among emerging adults. METHODS: Data were drawn from a cohort of young Australians who completed a web-based, self-report survey in 2019 during early adulthood. A series of Poisson and logistic regressions were conducted to examine the concurrent associations between the risk behaviors (sleep, diet, PA, and sitting and screen time) and personality traits (hopelessness, anxiety sensitivity, impulsivity, and sensation seeking) among emerging adults in Australia. RESULTS: A total of 978 participants (mean age 20.4, SD 0.5 years) completed the web-based survey. The results indicated that higher scores on hopelessness were associated with a greater daily screen (risk ratio [RR] 1.12, 95% CI 1.10-1.15) and sitting time (RR 1.05, 95% CI 1.0-1.08). Similarly, higher scores on anxiety sensitivity were associated with a greater screen (RR 1.04, 95% CI 1.02-1.07) and sitting time (RR 1.04, 95% CI 1.02-1.07). Higher impulsivity was associated with greater PA (RR 1.14, 95% CI 1.08-1.21) and screen time (RR 1.06, 95% CI 1.03-1.08). Finally, higher scores on sensation seeking were associated with greater PA (RR 1.08, 95% CI 1.02-1.14) and lower screen time (RR 0.96, 95% CI 0.94-0.99). CONCLUSIONS: The results suggest that personality should be considered when designing preventive interventions for lifestyle risk behaviors, particularly in relation to SB, such as sitting and screen time. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12612000026820; https://tinyurl.com/ykwcxspr.

Interventions to prevent alcohol use: systematic review of economic evaluations.

BACKGROUND: Alcohol use is a leading risk factor for death and disability worldwide. AIMS: We conducted a systematic review on the cost-effectiveness evidence for interventions to prevent alcohol use across the lifespan. METHOD: Electronic databases (EMBASE, Medline, PsycINFO, CINAHL and EconLit) were searched for full economic evaluations and return-on-investment studies of alcohol prevention interventions published up to May 2021. The methods and results of included studies were evaluated with narrative synthesis, and study quality was assessed by the Drummond ten-point checklist. RESULTS: A total of 69 studies met the inclusion criteria for a full economic evaluation or return-on-investment study. Most studies targeted adults or a combination of age groups, seven studies comprised children/adolescents and one involved older adults. Half of the studies found that alcohol prevention interventions are cost-saving (i.e. more effective and less costly than the comparator). This was especially true for universal prevention interventions designed to restrict exposure to alcohol through taxation or advertising bans; and selective/indicated prevention interventions, which involve screening with or without brief intervention for at-risk adults. School-based interventions combined with parent/carer interventions were cost-effective in preventing alcohol use among those aged under 18 years. No interventions were cost-effective for preventing alcohol use in older adults. CONCLUSIONS: Alcohol prevention interventions show promising evidence of cost-effectiveness. Further economic analyses are needed to facilitate policy-making in low- and middle-income countries, and among child, adolescent and older adult populations.

Parental Information Needs and Intervention Preferences for Preventing Multiple Lifestyle Risk Behaviors Among Adolescents: Cross-sectional Survey Among Parents.

BACKGROUND: Parents play an influential role in the health behaviors of their children, such as physical activity, dietary intake, sleep, screen time, and substance use. However, further research is needed to inform the development of more effective and engaging parent-based interventions targeting adolescent risk behaviors. OBJECTIVE: This study aimed to assess parents' knowledge about adolescent risk behaviors, barriers and facilitators to engaging in healthy behaviors, and preferences for a parent-based prevention intervention. METHODS: An anonymous web-based survey was conducted from June 2022 to August 2022. Eligible participants were parents of children aged 11 to 18 years and were residing in Australia at the time of this study. The survey assessed the parents' perceived and actual knowledge about Australian health guidelines for youth, parent and adolescent engagement in health behaviors, parenting style and attitudes, barriers and facilitators to engaging in healthy behaviors, and delivery and component preferences for a parent-based preventive intervention. Descriptive statistics and logistic regressions were conducted to analyze the data. RESULTS: A total of 179 eligible participants completed the survey. The mean age of the parents was 42.22 (SD 7.03) years, and 63.1% (101/160) were female. Parent-reported sleep duration was high for both parents (mean 8.31, SD 1.00 hours) and adolescents (mean 9.18, SD 0.94 hours). However, the proportion of parents who reported that their child met the national recommendations for physical activity (5/149, 3.4%), vegetable intake (7/126, 5.6%), and weekend recreational screen time (7/130, 5.4%) was very low. Overall, parents' perceived knowledge of health guidelines was moderate, ranging from 50.6% (80/158) for screen time to 72.8% (115/158) for sleep guidelines (for children aged 5-13 years). Actual knowledge was lowest for vegetable intake and physical activity, with only 44.2% (46/104) and 42% (31/74) of parents reporting correct guidelines for these behaviors, respectively. The key issues of concern reported by parents were excessive use of technology, mental health, e-cigarette use, and negative peer relationships. The top-rated delivery method for a parent-based intervention was via a website (53/129, 41.1%). The highest rated intervention component was opportunities for goal-setting (89/126, 70.7% rated very or extremely important), and other important program features were ease of use (89/122, 72.9%), paced learning (79/126, 62.7%), and appropriate program length (74/126, 58.8%). CONCLUSIONS: The findings suggest that such interventions should be brief and web based and should aim to increase parental knowledge of health guidelines; provide opportunities for skill-building, such as goal-setting; and include effective behavior change techniques, such as motivational interviewing and social support. This study will inform the development of future parent-based preventive interventions to prevent multiple lifestyle risk behaviors among adolescents.

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.

Longitudinal and self-attributed change in alcohol use among young adults during the COVID-19 pandemic in Australia.

INTRODUCTION: The COVID-19 pandemic introduced a unique concern regarding the potential for pandemic-related increases in alcohol use. However, most studies which have measured pandemic-related changes to date utilise self-attribution measures of changes in alcohol use using cross-sectional designs, which rely on accurate self-attributions for validity. There has been minimal investigation of correspondence of self-attributed and longitudinally measured changes in alcohol use during the pandemic. The current study seeks to examine this correspondence. METHODS: A total of 856 participants originally recruited from Australian secondary schools completed follow-up surveys of an ongoing study at two timepoints (2018-2019, mean age 18.6 and 2020-2021, mean age 19.9; 65.3% female). Alcohol use was measured as any drinking (1+ drinks) and binge drinking (5+ drinks) frequency in the past 6 months. The correspondence and relationship between 'longitudinal change' measured from the first to the second timepoint and 'self-attributed change' measured at the second timepoint were examined. RESULTS: For both any drinking and binge drinking frequency, moderate correspondence was observed between self-attributed and longitudinal change in drinking (37.1% and 39.3%). Most participants with longitudinal increases in any drinking or binge drinking frequency failed to correctly self-attribute this increase. DISCUSSION AND CONCLUSIONS: The findings suggest that self-attributed increases do not correspond well with longitudinally measured increases in pandemic-related drinking and may underestimate increases measured longitudinally. Method of measurement needs to be taken into account if data are to be used to identify sub-groups at risk of alcohol use increases and facilitate appropriate direction of public health efforts.

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.

Factors associated with the time to transition from suicidal ideation to suicide plans and attempts in the Australian general population.

BACKGROUND: Suicide plans and attempts rarely occur without prior suicidal ideation but are hard to predict. Early intervention efforts need to focus on subgroups of the population who are more likely to transition from ideation to suicidal plans and attempts. The current study utilised data from a large nationally representative sample to investigate the time taken to transition and the demographic and mental health correlates of transitioning to suicidal plans and attempts among those with suicidal ideation. METHODS: Data were from 1237 Australians aged 16-85 years who reported suicidal thoughts at some point in their life. Discrete time survival analysis was used to retrospectively examine the time in years and correlates of transitioning from suicidal ideation to suicide plans and suicide attempt. RESULTS: The majority of those who transitioned to suicide plans or attempts typically did so within 2 years of first experiencing suicidal ideation. Several factors were independently associated with increased speed to transition, including alcohol use disorder, drug use disorder, major depressive episode, obsessive compulsive disorder, sexual minority status, and non-urban location. Older age, being male, older age of first ideation and greater family support were associated with a slower transition. CONCLUSION: The current study suggests that pre-existing mental or substance use disorders, particularly drug use disorder, as well as sexual minority status, sex and greater family support play an important role in the transition from suicidal ideation to plans or attempts. These results highlight the potential importance of suicide prevention programs that aim to improve social connectedness.

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.

Effect of Selective Personality-Targeted Alcohol Use Prevention on 7-Year Alcohol-Related Outcomes Among High-risk Adolescents: A Secondary Analysis of a Cluster Randomized Clinical Trial.

Importance: Alcohol consumption is one of the leading preventable causes of burden of disease worldwide. Selective prevention of alcohol use can be effective in delaying the uptake and reducing harmful use of alcohol during the school years; however, little is known about the durability of these effects across the significant transition from early adolescence into late adolescence and early adulthood. Objective: To examine the sustained effects of a selective personality-targeted alcohol use prevention program on alcohol outcomes among adolescents who report high levels of 1 of 4 personality traits associated with substance use. Design, Setting, and Participants: A cluster randomized clinical trial was conducted to assess the effectiveness of the selective personality-targeted PreVenture program on reducing the growth of risky alcohol use and related harms from early to late adolescence and early adulthood. Participants included grade 8 students attending 14 secondary schools across New South Wales and Victoria, Australia, in 2012 who screened as having high levels of anxiety sensitivity, negative thinking, impulsivity, and/or sensation seeking. Schools were block randomized to either the PreVenture group (7 schools) or the control group (7 schools). The primary end point of the original trial was 2 years post baseline; the present study extends the follow-up period from July 1, 2017, to December 1, 2019, 7 years post baseline. Data were analyzed from July 22, 2021, to August 2, 2022. Interventions: The PreVenture program is a 2-session, personality-targeted intervention designed to upskill adolescents to better cope with their emotions and behaviors. Main Outcomes and Measures: Self-reported monthly binge drinking, alcohol-related harms, and hazardous alcohol use measured by the Alcohol Use Disorders Identification Test-Concise consumption screener. Results: Of 438 participants (249 male [56.8%]; mean [SD] age, 13.4 [0.5] years) from 14 schools, 377 (86.2%) provided follow-up data on at least 2 occasions, and among those eligible, 216 (54.0%) participated in the long-term follow-up. Compared with the control condition, the PreVenture intervention was associated with reduced odds of any alcohol-related harm (odds ratio [OR], 0.81 [95% CI, 0.70-0.94]) and a greater mean reduction in the frequency of alcohol-related harms (ß = -0.22 [95% CI, -0.44 to -0.003]) at the 7.0-year follow-up. There were no differences in the odds of monthly binge drinking (OR, 0.80 [95% CI, 0.56-1.13]) or hazardous alcohol use (OR, 0.87 [95% CI, 0.59-1.27]) at the 7.0-year follow-up. Exploratory analyses at the 5.5-year follow-up showed that compared with the control condition, the PreVenture intervention was also associated with reduced odds of monthly binge drinking (OR, 0.87, [95% CI, 0.77-0.99]) and hazardous alcohol use (OR, 0.91 [95% CI, 0.84-0.99]), but this was not sustained. Conclusions and Relevance: This study demonstrated that a brief selective personality-targeted alcohol use prevention intervention delivered in the middle school years can have sustained effects into early adulthood. Trial Registration: anzctr.org.au Identifier: ACTRN12612000026820.