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BACKGROUND AND AIMS: Tolerance to the effects of alcohol is an important element in the diagnosis of alcohol use disorders (AUD); however, there is ongoing debate about its utility in the diagnosis AUD in adolescents and young adults. This study aimed to refine the assessment of tolerance in young adults by testing different definitions of tolerance and their associations with longitudinal AUD outcomes. DESIGN: Prospective cohort study. SETTINGS: Australia. PARTICIPANTS: A contemporary cohort of emerging adults across Australia (n = 565, mean age = 18.9, range = 18-21 at baseline). MEASUREMENTS: Clinician-administered Structured Clinical Interview for DSM-IV Research Version (SCID-IV-RV) assessed for AUD criteria across five interviews, at 6-month intervals over 2.5 years. Tolerance definitions were operationalized using survey-type response (yes/no), clinician judgement (SCID-IV-RV), different initial drinking quantity and percentage increase thresholds and average heavy consumption metrics. AUD persistence was operationalized by the number of times AUD was present across the 2.5-year study period (n = 491), and new-onset AUD was operationalized as any new incidence of AUD during the follow-up period (n = 461). FINDINGS: The (i) SCID-IV-RV clinician judgement [odds ratio (OR) = 2.50, P = 0.005], (ii) an initial drinking quantity threshold of four to five drinks and 50% minimum increase (OR = 2.48, P = 0.007) and (iii) 50% increase only (OR = 2.40, P = 0.005) were the tolerance definitions more strongly associated with any new onset of AUD throughout the four follow-up time-points than other definitions. However, these definitions were not associated with persistent AUD (Ps > 0.05). Average heavy consumption definitions of tolerance were most strongly associated with persistent AUD (OR = 6.66, P = 0.001; OR = 4.65, P = 0.004) but not associated with new-onset AUD (Ps > 0.05). CONCLUSIONS: Initial drink and percentage change thresholds appear to improve the efficacy

Purpose Fetal Alcohol Spectrum Disorder (FASD) is a preventable range of neurocognitive disorders associated with the biological mother’s consumption of alcohol during pregnancy. However, on average, 45% of Australian women continue to consume alcohol during pregnancy resulting in a high rate of alcohol-exposed pregnancies and risk of FASD. This level of exposure is higher than the estimated global average of alcohol-exposed pregnancies (9.8%). This systematic literature review aims to identify demographic, health and psycho-social variables associated with alcohol consumption during pregnancy which may lead to FASD. Methods Using PRISMA principles, this systematic literature review reports on psycho-social factors which increase the risk of alcohol consumption during pregnancy thereby increasing the risk of FASD. Results Fourteen studies were accepted into this review. Studies were conducted across several countries and included a total of 386,067 cases. Seven studies were case-controlled and seven were cross-sectional design. Multiple studies identified the significance of prior mental illness, anxiety, depression, exposure to abuse and/or domestic violence and alcohol consumption behaviours of partners and family members as strong predictors of risky alcohol consumption during pregnancy and therefore associated risk of FASD. Conclusion Clinical services may be able to use the evidence-based findings from this review to improve assessment and treatment services for vulnerable women to reduce alcohol-exposed pregnancies.

Background Young people may have elevated risk for poorer mental health during the coronavirus disease 2019 (COVID-19) pandemic, yet longitudinal studies documenting this impact are lacking. This study assessed changes in mental health and help-seeking since COVID-19 restrictions in young Australians, including gender differences. Methods Data were drawn from a recent subsample (n = 443; 60% female; Mage = 22.0) of a prospective cohort originally recruited in secondary school to complete annual surveys. The subsample completed an additional COVID-19 survey during COVID-19 restrictions (May–June 2020), which was compared to responses from their latest annual survey (August 2019–March 2020). Mixed effect models with time and gender as the primary predictors were conducted for: (i) scores on the Patient Health Questionnaire Depression 9-item (PHQ-9) and Generalised Anxiety Disorder 7-item (GAD-7) modules assessed before and during COVID-19 restrictions, and (ii) self-reported help-seeking from a health professional in February 2020, and the month preceding May–June 2020. Results Mean symptom scores increased from before to during COVID-19 restrictions on the PHQ-9 (coefficient: 1.29; 95% CI 0.72–1.86) and GAD-7 (0.78; 95% CI 0.26–1.31), but there was no increase in help-seeking over time (odds ratio 0.50; 95% CI 0.19–1.32). There was no evidence of differential changes by gender. Conclusions This study found increases in depression and anxiety symptoms but not greater help-seeking among young Australian adults during the first wave of the pandemic. Increasing availability and awareness of accessible treatment options and psychoeducation is critical, as well as further research into risk and protective factors to help target treatment to this vulnerable age group.

BACKGROUND: Different forms of alcohol-related harm (e.g., hangovers, fighting) may confer differential risk of clinically relevant alcohol problems. We examine: (i) patterns of transition in experiencing alcohol-related harms across adolescence; (ii) whether factors in early adolescence predict transition patterns; and (iii) whether transition patterns predict later alcohol use disorder (AUD) symptoms. METHODS: We used a longitudinal Australian cohort (n = 1828) to model latent class transition patterns of alcohol-related harms across three timepoints (Mage = 13.9, 16.8, 18.8 years). Regression models assessed whether child, peer, and parent factors in early adolescence (Mage = 12.9) predicted harms transition patterns and whether these patterns predicted AUD symptoms in early adulthood (Mage = 19.8). RESULTS: Five transition patterns characterized most of the cohort (n ≈ 1609, 88.0%): (i) minimal harms (n ≈ 381, 20.8%); (ii) late physiological harms (n ≈ 702, 38.4%); (iii) early physiological harms (n ≈ 226, 12.4%); (iv) late all harms (n ≈ 131, 7.2%); and (v) gradual all harms (n ≈ 169, 9.2%). With late physiological harms as the reference, females had increased risk of experiencing early physiological harms (relative risk [RR]: 2.15; 99.5% CI: 1.19, 3.90). Late all harms (RR: 1.71; CI: 1.19, 2.47) and gradual all harms (RR: 1.84; CI: 1.37, 2.47) were each associated with increased odds of meeting criteria for AUD, even when patterns of alcohol consumption are considered. CONCLUSIONS: Adolescents display heterogeneous transition patterns across physiological and psychosocial alcohol-related harms. Females are at greater risk of experiencing early physiological harms. Experience of both physiological and psychosocial harms in late adolescence is an important and potentially modifiable precursor to clinically relevant alcohol problems in early adulthood.

Maternal anxiety during pregnancy is associated with adverse foetal, neonatal, and child outcomes, but biological mechanisms remain unclear. Altered foetal DNA methylation (DNAm) has been proposed as a potential underlying mechanism. In the current study, we performed a meta-analysis to examine the associations between maternal anxiety, measured prospectively during pregnancy, and genome-wide DNAm from umbilical cord blood. Sixteen non-overlapping cohorts from 12 independent longitudinal studies of the Pregnancy And Childhood Epigenetics Consortium participated, resulting in a combined dataset of 7243 mother-child dyads. We examined prenatal anxiety in relation to genome-wide DNAm and differentially methylated regions. We observed no association between the general symptoms of anxiety during pregnancy or pregnancy-related anxiety, and DNAm at any of the CpG sites, after multiple-testing correction. Furthermore, we identify no differentially methylated regions associated with maternal anxiety. At the cohort-level, of the 21 associations observed in individual cohorts, none replicated consistently in the other cohorts. In conclusion, contrary to some previous studies proposing cord blood DNAm as a promising potential mechanism explaining the link between maternal anxiety during pregnancy and adverse outcomes in offspring, we found no consistent evidence for any robust associations between maternal anxiety and DNAm in cord blood. Larger studies and analysis of DNAm in other tissues may be needed to establish subtle or subgroup-specific associations between maternal anxiety and the foetal epigenome.

Chronic diseases are the leading cause of disability and mortality globally. In Australia, females are at heightened risk. This research explored the prevalence, patterns, and correlates of six key risk behaviors (physical inactivity, poor diet, recreational screen time, inadequate sleep, alcohol use, and smoking) among adolescent females and whether knowledge of health guidelines was associated with adherence. Adolescent females completed an anonymous online questionnaire (N = 687; Mage = 13.82). Logistic regression assessed the association between knowledge and adherence. A Latent Class Analysis (LCA) and three-step procedure identified risk behavior clusters and their correlates. Despite positive health self-ratings (77% good/very good), most participants reported insufficient moderate-to-vigorous physical activity (MVPA; 89%), vegetable intake (89%), and excessive screen time (63%). Knowledge of guidelines was associated with adherence for MVPA, vegetable intake, sleep, and alcohol abstinence. Three classes emerged: “moderate risk” (76%), “relatively active, healthy eaters” (19%), and “excessive screen users” (5%). These risk-behavior clusters were associated with perceived value of academic achievement and physical wellbeing. Adolescent females commonly perceive they are in good health, despite engaging in unhealthy behaviors. Public health interventions should utilize effective behavior change strategies, adopt a multiple health behavior change approach (MHBC), and be tailored to specific risk profiles and values among females.

Background: Chronic diseases are the leading cause of death worldwide. Addressing key lifestyle risk factors during adolescence is critical for improving physical and mental health outcomes and reducing chronic disease risk. Schools are ideal intervention settings, and electronic health (eHealth) interventions afford several advantages, including increased student engagement, scalability, and sustainability. Although lifestyle risk behaviors tend to co-occur, few school-based eHealth interventions have targeted multiple behaviors concurrently. Objective: This study aims to summarize the co-design and user testing of the Health4Life school-based program, a web-based cartoon intervention developed to concurrently prevent 6 key lifestyle risk factors for chronic disease among secondary school students: alcohol use, smoking, poor diet, physical inactivity, sedentary recreational screen time, and poor sleep (the Big 6). Methods: The development of the Health4Life program was conducted over 18 months in collaboration with students, teachers, and researchers with expertise relevant to the Big 6. The iterative process involved (1) scoping of evidence and systematic literature review; (2) consultation with adolescents (N=815) via a cross-sectional web-based survey to identify knowledge gaps, attitudes, barriers, and facilitators in relation to the Big 6; (3) content and web development; and (4) user testing of the web-based program with students (n=41) and teachers (n=8) to evaluate its acceptability, relevance, and appeal to the target audience. Results: The co-design process resulted in a six-module, evidence-informed program that uses interactive cartoon storylines and web-based delivery to engage students. Student and teacher feedback collected during user testing was positive in terms of acceptability and relevance. Commonly identified areas for improvement concerned the length of modules, age appropriateness of language and alcohol storyline, the need for character bac

Introduction Lifestyle risk behaviours, including alcohol use, smoking, poor diet, physical inactivity, poor sleep (duration and/or quality) and sedentary recreational screen time ( € the Big 6'), are strong determinants of chronic disease. These behaviours often emerge during adolescence and co-occur. School-based interventions have the potential to address risk factors prior to the onset of disease, yet few eHealth school-based interventions target multiple behaviours concurrently. This paper describes the protocol of the Health4Life Initiative, an eHealth school-based intervention that concurrently addresses the Big 6 risk behaviours among secondary school students. Methods and analysis A multisite cluster randomised controlled trial will be conducted among year 7 students (11-13 years old) from 72 Australian schools. Stratified block randomisation will be used to assign schools to either the Health4Life intervention or an active control (health education as usual). Health4Life consists of (1) six web-based cartoon modules and accompanying activities delivered during health education (once per week for 6 weeks), and a smartphone application (universal prevention), and (2) additional app content, for students engaging in two or more risk behaviours when they are in years 8 and 9 (selective prevention). Students will complete online self-report questionnaires at baseline, post intervention, and 12, 24 and 36 months after baseline. Primary outcomes are consumption of sugar-sweetened beverages, moderate-to-vigorous physical activity, sleep duration, sedentary recreational screen time and uptake of alcohol and tobacco use. Ethics and dissemination This study has been approved by the University of Sydney (2018/882), NSW Department of Education (SERAP no. 2019006), University of Queensland (2019000037), Curtin University (HRE2019-0083) and relevant Catholic school committees. Results will be presented to schools and findings disseminated via peer-reviewed journals and s

BACKGROUND AND AIMS: Recent research suggests that parental supply of alcohol is associated with more risky drinking and alcohol-related harm among adolescents. However, the overall effect of parental supply throughout adolescence remains unclear, because parental supply of alcohol varies during adolescence. Due to the complexity of longitudinal data, standard analytical methods can be biased. This study examined the effect of parental supply of alcohol on alcohol-related outcomes in early adulthood using robust methods to minimize risk of bias. DESIGN: Prospective longitudinal cohort study. SETTING: Australia PARTICIPANTS: A cohort of school students (n = 1906) recruited in the first year of secondary school (average age 12.9 years) from Australian schools in 2010-11, interviewed annually for 7 years. MEASUREMENTS: The exposure variable was self-reported parental supply of alcohol (including sips/whole drinks) during 5 years of adolescence (waves 1-5). Outcome variables were self-reported binge drinking, alcohol-related harm and symptoms of alcohol use disorder, measured in the two waves after the exposure period (waves 6-7). To reduce risk of bias, we used targeted maximum likelihood estimation to assess the (counterfactual) effect of parental supply of alcohol in all five waves versus no supply on alcohol-related outcomes. FINDINGS: Parental supply of alcohol throughout adolescence saw greater risk of binge drinking [risk ratios (RR) = 1.53; 95% confidence interval (CI) = 1.27-1.84] and alcohol-related harms (RR = 1.44; 95% CI = 1.22-1.69) in the year following the exposure period compared with no supply in adolescence. Earlier initiation of parental supply also increased risk of binge drinking (RR = 1.10; 95% CI = 1.05-1.14), and any alcohol-related harm (RR = 1.09; 95% CI = 1.05-1.13) for each year earlier parental supply began compared with later (or no) initiation. CONCLUSIONS: Adolescents whose parents supply them with alcohol appear to have an increased ris

Background: Lifestyle risk behaviours typically emerge during adolescence, track into adulthood, and commonly co-occur. Interventions targeting multiple risk behaviours in adolescents have the potential to efficiently improve health outcomes, yet further evidence is required to determine their effect. We reviewed the effectiveness of eHealth school-based interventions targeting multiple lifestyle risk behaviours. Methods: In this systematic review and meta-analysis, we searched Ovid MEDLINE, Embase, PsycINFO, and the Cochrane Library databases between Jan 1, 2000, and March 14, 2019, with no language restrictions, for publications on school-based eHealth multiple health behaviour interventions in humans. We also screened the grey literature for unpublished data. Eligible studies were randomised controlled trials of eHealth (internet, computers, tablets, mobile technology, or tele-health) interventions targeting two or more of six behaviours of interest: alcohol use, smoking, diet, physical activity, sedentary behaviour, and sleep. Primary outcomes of interest were the prevention or reduction of unhealthy behaviours, or improvement in healthy behaviours of the six behaviours. Outcomes were summarised in a narrative synthesis and combined using random-effects meta-analysis. This systematic review is registered with PROSPERO, identifier CRD42017072163. Findings: Of 10 571 identified records, 22 publications assessing 16 interventions were included, comprising 18 873 students, of whom on average 56·2% were female, with a mean age of 13·41 years (SD 1·52). eHealth school-based multiple health behaviour change interventions significantly increased fruit and vegetable intake (standard mean difference 0·11, 95% CI 0·03 to 0·19; p=0·007) and both accelerometer-measured (0·33, 0·05 to 0·61; p=0·02) and self-reported (0·14, 0·05 to 0·23; p=0·003) physical activity, and reduced screen time (−0·09, −0·17 to −0·01; p=0·03) immediately after the intervention; however, these effect

Background: Recent research has not supported the idea that parental supply of alcohol to adolescents prevents later alcohol-related harm. Yet the specific role of parental supply in shaping patterns of drinking over time remains unclear. This study investigated the role of parental supply of alcohol in patterns of drinking across adolescence, and assessed whether that role remained consistent over time. Method: Using a longitudinal cohort of 1927 adolescents (mean age 12.9 years), recruited in 2010 and 2011 from schools across Australia and followed up annually until 2016, we assessed three outcomes using mixed-effect negative binomial regression: frequency of consumption, typical quantity consumed, and overall alcohol consumption in the year (frequency * quantity). Child, parental, familial, and peer confounders of adolescent alcohol consumption were measured and adjusted for in the analyses. Findings: Parental supply was associated with greater overall consumption in earlier adolescence: Grade 7–8 (incidence rate ratio [IRR]: 3.61; 95% CI: 2.55, 5.12; no supply IRR: 1.00), Grade 8–9 (IRR: 4.84; 95% CI: 3.66, 6.39; no supply IRR: 1.44) and Grade 9–10 (IRR: 8.33; 95% CI: 6.28, 11.05; no supply IRR: 4.75). Alcohol consumption continued to increase in later adolescence regardless of whether parental supply occurred. Conclusions: Parental supply of alcohol was associated with increased alcohol consumption by their children during early adolescence. While parental supply appears to have less impact on drinking in later adolescence, there was no evidence to suggest it is protective. Parents should be advised to avoid supplying children with alcohol, particularly in early adolescence.

Background: Why adolescents' drinking is associated with their parents' drinking remains unclear. We examined associations in a prospective cohort study, adjusting for socio-demographic characteristics and family factors. Methods: We recruited 1927 children from grade 7 classes (mean age 13 years), and one of their parents, in three Australian states, contacted participants annually from 2010 to 2014, and analysed data from assessments at ages 13, 14, 15 and 16 years. We used the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) subscale to identify hazardous drinking in parents (score ≥5) and children (score ≥3) and constructed mixed-effect logistic regression models, accounting for clustering within school and adjusting for likely confounders. We evaluated the sensitivity of estimates by imputing missing values assuming the data were missing at random vs. missing not at random. Results: Parent hazardous drinking predicted mid-adolescent hazardous drinking, e.g. 15 years olds whose parents [adjusted odds ratio (aOR) 2.00; 95% confidence interval 1.51-2.64] or parents' partners (aOR 1.94; 1.48-2.55) were hazardous drinkers had higher odds of being hazardous drinkers at age 16. The magnitude of univariate associations changed little after adjusting for covariates, and sensitivity analyses confirmed the robustness of the association, across a wide range of assumptions about the missing data. Conclusions: The associations between parents' and their adolescent children's hazardous drinking are unlikely to be due to confounding by socio-demographic and family factors. Parents should be encouraged, and supported by public policy, to reduce their own alcohol consumption in order to reduce their children's risk of becoming hazardous drinkers.

Background: Some parents supply alcohol to their children, reportedly to reduce harm, yet longitudinal research on risks associated with such supply is compromised by short periods of observation and potential confounding. We aimed to investigate associations between parental supply and supply from other (non-parental) sources, with subsequent drinking outcomes over a 6-year period of adolescence, adjusting for child, parent, family, and peer variables. Methods: We did this prospective cohort study using data from the Australian Parental Supply of Alcohol Longitudinal Study cohort of adolescents. Children in grade 7 (mean age 12 years), and their parents, were recruited between 2010 and 2011 from secondary schools in Sydney, Perth, and Hobart, Australia, and were surveyed annually between 2010 and 2016. We examined the association of exposure to parental supply and other sources of alcohol in 1 year with five outcomes in the subsequent year: binge drinking (more than four standard drinks on a drinking occasion); alcohol-related harms; and symptoms of alcohol abuse (as defined by Diagnostic and Statistical Manual of Mental Disorders, 4th edition [DSM-IV]), alcohol dependence, and alcohol use disorder (as defined by DSM-5). This trial is registered with ClinicalTrials.gov, number NCT02280551. Findings: Between September, 2010, and June, 2011, we recruited 1927 eligible parents and adolescents (mean age 12·9 years [SD 0·52]). Participants were followed up until 2016, during which time binge drinking and experience of alcohol-related harms increased. Adolescents who were supplied alcohol only by parents had higher odds of subsequent binge consumption (odds ratio [OR] 2·58, 95% CI 1·96–3·41; p<0·0001), alcohol-related harm (2·53, 1·99–3·24; p<0·0001), and symptoms of alcohol use disorder (2·51, 1·46–4·29; p=0·0008) than did those reporting no supply. Parental supply of alcohol was not significantly associated with the odds of reporting symptoms of either alcohol abuse or

BACKGROUND: Early alcohol initiation is common and has been associated with the development of alcohol problems. Yet, past research on the association of age of initiation with later problem drinking has produced inconsistent findings. Using prospective data from the Australian Parental Supply of Alcohol Longitudinal Study cohort, this study examined age of alcohol initiation, and of first drunkenness, and associations with subsequent drinking in adolescence. METHODS: A total of 1,673 parent-child dyads recruited through Australian secondary schools completed annual surveys for 5 years (grades 7 to 11). Limiting the sample to those adolescents who had initiated alcohol use by age 17 (n = 839), multinomial logistic regression models were used to examine associations between (i) age of initiation to alcohol use (consuming at least 1 full serve) and (ii) age of first drunkenness, and 2 outcomes: (i) binge drinking (consuming >4 standard drinks on a single occasion), and (ii) the total number of alcoholic drinks consumed in the past year, adjusted for a range of potential child, parent, family, and peer covariates. RESULTS: Fifty percent of adolescents reported alcohol use and 36% reported bingeing at wave 5 (mean age 16.9 years), and the mean age of initiation to alcohol use for drinkers was 15.1 years. Age of initiation was significantly associated with binge drinking and total quantity of alcohol consumed in unadjusted and adjusted models. Age of first drunkenness was associated with total quantity of alcohol consumed in unadjusted models but not adjusted models and was not associated with subsequent bingeing. CONCLUSIONS: Initiating alcohol use earlier in adolescence is associated with an increased risk of binge drinking and higher quantity of consumption in late secondary school, supporting an argument for delaying alcohol initiation for as long as possible to reduce the risk for problematic use in later adolescence and the alcohol-related harms that may accompany