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BackgroundSelf-guided web-based mental health programs are effective in treating and preventing mental health problems. However, current engagement with these programs in the community is suboptimal, and there is limited evidence indicating how to increase the use of existing evidence-based programs. ObjectiveThis study aims to investigate the views of people with lived experience of depression and anxiety on factors influencing their engagement with self-guided web-based mental health (e–mental health) programs and to use these perspectives to develop an engagement-facilitation intervention (EFI) to increase engagement (defined as both uptake and adherence) with these programs. MethodsA total of 24 community members (female=21; male=3) with lived experience of depression and anxiety or depression or anxiety alone participated in 1 of 4 focus groups discussing the factors influencing their engagement with self-guided e–mental health programs and the appearance, delivery mode, and functionality of content for the proposed EFI. A subsequent evaluation survey of the focus group participants (n=14) was conducted to evaluate the resultant draft EFI. Data were thematically analyzed using both inductive and deductive qualitative methods. ResultsParticipants suggested that the critical component of an EFI was information that would challenge personal barriers to engagement, including receiving personalized symptom feedback, information regarding the program’s content or effectiveness and data security, and normalization of using e–mental health programs (eg, testimonials). Reminders, rewards, feedback about progress, and coaching were all mentioned as facilitating adherence. ConclusionsEFIs have the potential to improve community uptake of e–mental health programs. They should focus on providing information on the content and effectiveness of e–mental health programs and normalizing their use. Given that the sample comprised predominantly young females, this study may not be generalizable to other population groups. There is a strong value in involving people with a lived experience in the design and development of EFIs to maximize their effectiveness.

BackgroundMental and substance use disorders are among the leading causes of burden of disease worldwide, with risk of onset peaking between the ages of 13 and 24 years. Comorbidity is also common among young people and complicates research, diagnosis and assessment, and clinical decision making. There is increasing support for empirically derived models of psychopathology that overcome issues of comorbidity and provide a transdiagnostic framework for investigating the specificity and generality of risk and protective factors for psychopathology. ObjectiveThis systematic review aims to identify transdiagnostic risk and protective factors for psychopathology in young people by synthesizing and evaluating findings from research investigating empirically based models of psychopathology. MethodsSearches will be conducted in Medline, EMBASE, and PsycINFO databases. Reference lists of selected articles will also be hand searched for other relevant publications. All studies will be screened against eligibility criteria designed to identify studies that examined empirical models of psychopathology in relation to risk and/or protective factors in young people with a mean age between 10 and 24 years. Study quality will be assessed using the Joanna Briggs Institute Critical Appraisal Checklists for Cohort Studies and Analytical Cross-Sectional Studies. Findings will be summarized in a narrative synthesis, and a meta-analysis will be conducted if sufficient data are available. ResultsThis review is ongoing. At the time of submission, full-text screening was completed, and hand searching of selected articles was underway. Results are expected to be completed by the end of 2020. ConclusionsThis protocol is for a systematic review of evidence for transdiagnostic risk and protective factors associated with empirically based models of psychopathology in young people. To our knowledge, the critical synthesis of this evidence will be the first to date and will provide a better understanding of the factors that contribute to the onset and maintenance of psychopathology in young people. Insights drawn from the review will provide critical new knowledge to improve the targeting of interventions to prevent or reduce mental health problems. Trial RegistrationThis systematic review is registered with PROSPERO (CRD42020161368) and is available via Open Science Framework. International Registered Report Identifier (IRRID)DERR1-10.2196/19779

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. [ABSTRACT FROM AUTHOR]

Introduction Methods Results Discussion and Conclusions Barriers to help‐seeking for illicit drug use cross psychosocial (e.g., knowledge of where to seek help, attitudinal beliefs like being afraid of what people will think) and structural (e.g., service availability) domains. Along with people who use illicit drugs, it is important to consider the perspectives of other key groups who are often involved in the help‐seeking and recovery process. This study aimed to examine the perceived barriers to help‐seeking for people who use crystal methamphetamine (‘ice’) among key groups (people who use crystal methamphetamine, families and friends, health workers) as well as the general community.A cross‐sectional online survey open to all Australian residents (aged ≥18 years) was conducted November 2018–March 2019. Four key groups of interest were recruited to examine and compare perceived barriers to help‐seeking for crystal methamphetamine use.Participants (n = 2108) included: people who use/have used crystal methamphetamine (n = 564, 39%), health workers (n = 288, 26.8%), affected family/friends (n = 434, 13.7%) and general community (n = 822, 20.6%). People who used crystal methamphetamine demonstrated increased odds of reporting attitudinal (OR 1.35; 1.02–1.80) or structural (OR 1.89; 1.09–3.27) barriers, or a previous negative help‐seeking experience (OR 2.27; 1.41–3.66) compared to knowledge barriers. Health workers demonstrated decreased odds of reporting attitudinal compared to knowledge barriers (OR 0.69; 0.50–0.95).Perceived barriers to seeking help for crystal methamphetamine use differed among key groups involved in treatment and recovery. Acknowledging and addressing the mismatches between key groups, through targeted interventions may better support people to seek help for crystal methamphetamine use. [ABSTRACT FROM AUTHOR]

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. Key messages: Little research has been conducted on adolescent‐perceived parental monitoring, which is a factor contributing to overall parenting styles, and its relationship with adolescent's dietary intake. This study found that perceived parental monitoring is significantly associated with adolescent dietary intake, despite the increased autonomy and independence over food choices at this age.Our findings indicated that higher perceived parental monitoring is significantly associated with fruit, vegetable, sugar‐sweetened beverage and junk food intake in different ways, highlighting how complex the psychological and environmental factors contributing to dietary intake are.Further research is needed incorporating parents' own diet and different parenting practices from both an adolescent and parents' perspective to help better depict the most recommended style for the optimum diet during adolescence. [ABSTRACT FROM AUTHOR]

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). [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Introduction: There is emerging evidence that posttraumatic-stress disorder may have mediating effects in development of chronic-non-cancer-pain and opioid-use-disorder independently, but its impact on the development of opioid-use-disorder in people with chronic-non-cancer pain is still unclear. Objectives: (i) Estimate the risk of opioid-use-disorder among individuals with chronic-non-cancer-pain and posttraumatic-stress disorder, relative to those with chronic-non-cancer-pain only, and (ii) identify potential correlates of opioid-use-disorder among people with chronic-non-cancer-pain and posttraumatic-stress disorder. Methods: This systematic review was conducted as per the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Longitudinal, epidemiological, cohort, follow-up, retrospective, prospective and cross-sectional studies reporting measures of variance on the likelihood of developing opioid-use-disorder with posttraumatic-stress disorder among individuals with chronic-non-cancer-pain were identified from six-electronic databases (Medline, Embase, Evidence-based Medicine reviews, PsycINFO, Scopus and Web of Science) until December 2022. Results: Three out of the four studies, which met the selection criteria for this analysis reported statistically significant positive association between risk of developing opioid-use-disorder with posttraumatic-stress disorder among chronic-non-cancer-pain cohort (unadjusted Relative-Risk range: 1.51–5.27) but this association was not evident in the fourth study (adjusted Relative-Risk: 0.96; statistically non-significant), when adjusted for sociodemographic variables. The increased risk was noted particularly with females and chronic musculoskeletal pain conditions. Conclusions: Posttraumatic-stress disorder can increase the risk of development of opioid-use-disorder among people with chronic-non-cancer-pain and a better understanding of this relationship will help to predict and prevent the development of opioid-use-disorder and may also help in reducing the disability and burden associated with chronic-non-cancer-pain. Perspective: This review quantifies the risk of developing opioid-use-disorder in the context of posttraumatic-stress disorder among individuals with chronic-non-cancer-pain. Awareness and subsequent practice change will reduce the increasing global burden associated with the chronic-non-cancer-pain. [ABSTRACT FROM AUTHOR]

Cannabis use is common among individuals with opioid use disorder, but it remains unclear whether cannabis use is associated with an increase or a reduction in illicit opioid use. To overcome limitations identified in previous longitudinal studies with limited follow-ups, the authors examined a within-person reciprocal relationship between cannabis and heroin use at several follow-ups over 18 to 20 years. The Australian Treatment Outcome Study (ATOS) recruited 615 people with heroin dependence in 2001 and 2002 and reinterviewed them at 3, 12, 24, and 36 months as well as 11 and 18–20 years after baseline. Heroin and cannabis use were assessed at each time point using the Opiate Treatment Index. A random-intercept cross-lagged panel model analysis was conducted to identify within-person relationships between cannabis use and heroin use at subsequent follow-ups. After accounting for a range of demographic variables, other substance use, and mental and physical health measures, an increase in cannabis use 24 months after baseline was significantly associated with an increase in heroin use at 36 months (estimate=0.21, SE=0.10). Additionally, an increase in heroin use at 3 months and 24 months was significantly associated with a decrease in cannabis use at 12 months (estimate=−0.27, SE=0.09) and 36 months (estimate=−0.22, SE=0.08). All other cross-lagged associations were not significant. Although there was some evidence of a significant relationship between cannabis and heroin use at earlier follow-ups, this was sparse and inconsistent across time points. Overall, there was insufficient evidence to suggest a unidirectional or bidirectional relationship between the use of these substances. [ABSTRACT FROM AUTHOR]