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Findings from longitudinal research, globally, repeatedly emphasise the importance of taking an early life course approach to mental health promotion; one that invests in the formative years of development, from early childhood to young adulthood, just prior to the transition to parenthood for most. While population monitoring systems have been developed for this period, they are typically designed for use within discrete stages (i.e., childhood or adolescent or young adulthood). No system has yet captured development across all ages and stages (i.e., from infancy through to young adulthood). Here we describe the development, and pilot implementation, of a new Australian Comprehensive Monitoring System (CMS) designed to address this gap by measuring social and emotional development (strengths and difficulties) across eight census surveys, separated by three yearly intervals (infancy, 3-, 6-, 9-12-, 15-, 18 and 21 years). The system also measures the family, school, peer, digital and community social climates in which children and young people live and grow. Data collection is communityled and built into existing, government funded, universal services (Maternal Child Health, Schools and Local Learning and Employment Networks) to maximise response rates and ensure sustainability. The first system test will be completed and evaluated in rural Victoria, Australia, in 2022. CMS will then be adapted for larger, more socio-economically diverse regional and metropolitan communities, including Australian First Nations communities. The aim of CMS is to guide community-led investments in mental health promotion from early childhood to young adulthood, setting secure foundations for the next generation. [ABSTRACT FROM AUTHOR]

Objective: To control a second-wave COVID-19 outbreak, the state of Victoria in Australia experienced one of the world's first long and strict lockdowns over July–October 2020, while the rest of Australia experienced 'COVID-normal' with minimal restrictions. We (1) investigate trajectories of parent/child mental health outcomes in Victoria vs non-Victoria and (2) identify baseline demographic, individual and COVID-19-related factors associated with mental health trajectories. Methods: Online community sample of 2004 Australian parents with rapid repeated assessment over 14 time-points over April 2020 to May 2021. Measures assessed parent mental health (Depression, Anxiety and Stress Scales-21), child depression symptoms (13-item Short Mood and Feelings Questionnaire) and child anxiety symptoms (four items from Brief Spence Children's Anxiety Scale). Results: Mental health trajectories shadowed COVID-19 infection rates. Victorians reported a peak in mental health symptoms at the time of the second-wave lockdown compared to other states. Key baseline predictors, including parent and child loneliness (standardized regression coefficient [β] = 0.09–0.46), parent/child diagnoses (β = 0.07–0.21), couple conflict (β = 0.07–0.18) and COVID-19 stressors, such as worry/concern about COVID-19, illness and loss of job (β = 0.12–0.15), predicted elevated trajectories. Effects of predictors on parent and child mental health trajectories are illustrated in an online interactive app for readers (https://lingtax.shinyapps.io/CPAS%5ftrend/). Conclusion: Our findings provide evidence of worse trajectories of parent and child mental health symptoms at a time coinciding with a second COVID-19 outbreak involving strict lockdown in Victoria, compared to non-locked states in Australia. We identified several baseline factors that may be useful in detecting high-risk families who are likely to require additional support early on in future lockdowns. [ABSTRACT FROM AUTHOR]

Introduction: Helplines are often the first contact with the alcohol and other drug (AOD) treatment system. We examined call data from an AOD helpline in Victoria, Australia, to explore the association between COVID-19 lockdown measures and frequency of calls., Methods: This was a retrospective analysis of AOD helpline data collected between January 2018 and September 2020, for alcohol, methamphetamine and cannabis use concerns. Linear and logistic regression analyses examined differences in pre-COVID-19 (January 2018 to March 2020) and during COVID-19 (March 2020 to September 2020) caller characteristics, and interrupted time-series analyses examined changes in frequency of calls relative to lockdown measures., Results: There were 14,340 calls for alcohol (n = 10,196, 71.10%), methamphetamine (n = 2522, 17.59%) and cannabis (n = 1622, 11.31%). Relative to pre-COVID-19, during COVID-19 there was an increase in the rate of change over time in number of alcohol calls (b = 0.39), increase in first-time alcohol callers (OR = 1.29), and reduction in first-time methamphetamine callers (OR = 0.80). During COVID-19, alcohol callers had lower Socio-Economic Indicators for Areas scores (b = -3.06) and cannabis callers were younger (b = -2.07). During COVID-19, there were reductions in alcohol calls involving counselling/support (OR = 0.87) and information provision (OR = 0.87), cannabis calls involving information provision (OR = 0.71) and methamphetamine calls involving referral (OR = 0.80)., Discussion and Conclusions: In the first 6 months of the pandemic, frequency of alcohol-related calls increased over time, and first-time alcohol-related callers increased. The number of calls for cannabis and methamphetamine remained stable. Results suggest the helpline was not used to its full capacity, suggesting a role for further promotion during times of crises., (© 2024 The Authors. Drug and Alcohol Review published by John Wiley & Sons Australia, Ltd on behalf of Australasian Professional Society on Alcohol and other Drugs.)

Background and Aims: Alcohol is a major modifiable risk factor for female breast cancer, with breast cancer risk now associated with substantially lower consumption levels than those previously deemed safe. This study sought to measure risky drinking among women attending breast screening services in Australia according to new national alcohol guidelines and to compare daily, weekly and recent (past 12 months) consumption to Australian gender and age population norms., Design, Setting and Participants: This study was a retrospective analysis of cross-sectional data from the Lifepool Project (collected October 2011-January 2016) in Victoria, Australia, comprising a convenience sample of women attending breast screening services aged 40+ years., Measurements: Typical and heavy alcohol consumption patterns over the previous 12 months (frequency, quantity), socio-demographic (e.g. age, education) and health-related (e.g. menopause status, breast cancer history) characteristics. Primary outcomes were the proportion of women drinking at a level exceeding new guidelines for weekly and daily alcohol consumption., Findings: Of 49 240 women, mean age was 59.94 years (standard deviation = 7.14, range = 40-94 years). Most women had consumed alcohol during the past 12 months [41 628, 85.48%, 95% confidence interval (CI) = 85.16, 85.79]. One in five women (8464, 18.34%, 95% CI = 17.99, 18.69) were drinking at a level exceeding new national guidelines for weekly consumption (i.e. greater than 10 standard drinks per week), and one in six (7446, 15.60%, 95% CI = 15.28, 15.93) were exceeding new guidelines for consumption on a single day (i.e. greater than four standard drinks on any 1 day, more than once per month). The proportion of women in this sample drinking daily (4.21-11.19%), weekly (34.73-50.71%) and in the past 12 months (74.96-90.81%) was significantly greater among nearly all age groups (by decade), compared with Australian gender and age norms [drinking daily (3.4-9.1%), weekly (27.1-37.6%) and in the past 12 months (64.4-81.9%)]., Conclusions: There appears to be a high prevalence of risky alcohol consumption among a large convenience sample of breast screening service clients in Australia using new national alcohol guidelines introduced in December 2020., (© 2023 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction.)

Postnatal depression (PND) is common and predicts a range of adverse maternal and offspring outcomes. PND rates are highest among women with persistent mental health problems before pregnancy, and antenatal healthcare provides ideal opportunity to intervene. We examined antenatal perceived social support as a potential intervention target in preventing PND symptoms among women with prior mental health problems. A total of 398 Australian women (600 pregnancies) were assessed repeatedly for mental health problems before pregnancy (ages 14-29 years, 1992-2006), and again during pregnancy, two months postpartum and one year postpartum (2006-2014). Causal mediation analysis found that intervention on perceived antenatal social support has the potential to reduce rates of PND symptoms by up to 3% (from 15 to 12%) in women with persistent preconception symptoms. Supplementary analyses found that the role of low antenatal social support was independent of concurrent antenatal depressive symptoms. Combined, these two factors mediated up to more than half of the association between preconception mental health problems and PND symptoms. Trialling dual interventions on antenatal depressive symptoms and perceived social support represents one promising strategy to prevent PND in women with persistent preconception symptoms. Interventions promoting mental health before pregnancy may yield an even greater reduction in PND symptoms by disrupting a developmental cascade of risks via these and other pathways. This article is part of the theme issue 'Multidisciplinary perspectives on social support and maternal-child health'.

Background: Penalised regression methods are a useful atheoretical approach for both developing predictive models and selecting key indicators within an often substantially larger pool of available indicators. In comparison to traditional methods, penalised regression models improve prediction in new data by shrinking the size of coefficients and retaining those with coefficients greater than zero. However, the performance and selection of indicators depends on the specific algorithm implemented. The purpose of this study was to examine the predictive performance and feature (i.e., indicator) selection capability of common penalised logistic regression methods (LASSO, adaptive LASSO, and elastic-net), compared with traditional logistic regression and forward selection methods., Design: Data were drawn from the Australian Temperament Project, a multigenerational longitudinal study established in 1983. The analytic sample consisted of 1,292 (707 women) participants. A total of 102 adolescent psychosocial and contextual indicators were available to predict young adult daily smoking., Findings: Penalised logistic regression methods showed small improvements in predictive performance over logistic regression and forward selection. However, no single penalised logistic regression model outperformed the others. Elastic-net models selected more indicators than either LASSO or adaptive LASSO. Additionally, more regularised models included fewer indicators, yet had comparable predictive performance. Forward selection methods dismissed many indicators identified as important in the penalised logistic regression models., Conclusions: Although overall predictive accuracy was only marginally better with penalised logistic regression methods, benefits were most clear in their capacity to select a manageable subset of indicators. Preference to competing penalised logistic regression methods may therefore be guided by feature selection capability, and thus interpretative considerations, rather than predictive performance alone., Competing Interests: The authors have declared that no competing interests exist.