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Objective: To assess the extent to which intensity and timing of televised anti-smoking advertising emphasizing the serious harms of smoking influences quit attempts. Methods: Using advertising gross rating points (GRPs), we estimated exposure to tobacco control and nicotine replacement therapy (NRT) advertising in the 3, 4-6, 7-9 and 10-12 months prior to follow-up of a replenished cohort of 3037 Australian smokers during 2002-08. Using generalized estimating equations, we related the intensity and timing of advertising exposure from each source to the likelihood of making a quit attempt in the 3 months prior to follow-up. Results: Tobacco control advertising in the 3-month period prior to follow-up, but not in more distant past periods, was related to a higher likelihood of making a quit attempt. Each 1000 GRP increase per quarter was associated with an 11% increase in making a quit attempt [odds ratio (OR) = 1.11, 95% confidence interval (CI) 1.03-1.19, P = 0.009)]. NRT advertising was unrelated to quit attempts. Conclusions: Tobacco control advertising emphasizing the serious harms of smoking is associated with short-term increases in the likelihood of smokers making a quit attempt. Repeated cycles of higher intensity tobacco control media campaigns are needed to sustain high levels of quit attempts.

Aims: Associations between childhood abuse and various psychotic illnesses in adulthood are commonly reported. We aim to examine associations between several reported childhood adverse events (sexual abuse, physical abuse, emotional abuse, neglect and interpersonal loss) among adults with diagnosed psychotic disorders and clinical and psychosocial outcomes. Methods: Within a large epidemiological study, the 2010 Australian National Survey of Psychosis (Survey of High Impact Psychosis, SHIP), we used logistic regression to model childhood adverse events (any and specific types) on 18 clinical and psychosocial outcomes. Results: Eighty percent of SHIP participants (1466/1825) reported experiencing adverse events in childhood (sexual abuse, other types of abuse and interpersonal loss). Participants reporting any form of childhood adversity had higher odds for 12/18 outcomes we examined. Significant associations were observed with all psychosocial outcomes (social dysfunction, victimisation, offending and homelessness within the previous 12 months, and definite psychosocial stressor within 12 months of illness onset), with the strongest association for homelessness (odds ratio (OR) = 2.82). Common across all adverse event types was an association with lifetime depression, anxiety and a definite psychosocial stressor within 12 months of illness onset. When adverse event types were non-hierarchically coded, sexual abuse was associated with 11/18 outcomes, other types of abuse 13/18 and, interpersonal loss occurring in the absence of other forms of abuse was associated with fewer of the clinical and psychosocial outcomes, 4/18. When adverse events types were coded hierarchically (to isolate the effect of interpersonal loss in the absence of abuse), interpersonal loss was associated with lower odds of self-reproach (OR = 0.70), negative syndrome (OR = 0.75) and victimisation (OR = 0.82). Conclusions: Adverse childhood experiences among people with psychosis are common, as are subsequent psychosocial stressors. Mental health professionals should routinely enquire about all types of adversities in this group and provide effective service responses. Childhood abuse, including sexual abuse, may contribute to subsequent adversity, poor psychosocial functioning and complex needs among people with psychosis. Longitudinal research to better understand these relationships is needed, as are studies which evaluate the effectiveness of preventative interventions in high-risk groups. [ABSTRACT FROM AUTHOR]

Aim.: People released from prison are at higher risk of mortality from potentially preventable causes than their peers in the general population. Because most studies of this phenomenon are reliant on registry data, there is little health and behavioural information available on those at risk, hampering the development of targeted, evidence-based preventive responses. Our aim was to identify modifiable risk and protective factors for external cause and cause-specific mortality after release from prison. Methods.: We undertook a nested case–control study using data from a larger retrospective cohort study of mortality after release from prison in Queensland, Australia between 1994 and 2007. Cases were 286 individuals who had died from external causes (drug overdose, suicide, transport accidents, or violence) matched with 286 controls on sex, Indigenous status, and release date. We extracted data from detention, case-management, and prison medical records. Results.: Factors associated with increased risk of external cause mortality included use of heroin and other opioids in the community [odds ratio (OR) = 2.20, 95% CI 1.41–3.43, p < 0.001], a prescription for antidepressants during the current prison sentence (OR = 1.94, 95% CI 1.02–3.67, p = 0.042), a history of problematic alcohol use in the community (OR = 1.54, 95% CI 1.05–2.26, p = 0.028), and having ever served two or more custodial sentences (OR = 1.51, 95% CI 1.01–2.25, p = 0.045). Being married (OR = 0.45, 95% CI 0.29–0.70, p < 0.001) was protective. Fewer predictors were associated with cause-specific mortality. Conclusions.: We identified several behavioural, psychosocial, and clinical markers associated with mortality from preventable causes in people released from prison. Emerging evidence points to interventions that could be targeted at those at increased risk of external cause mortality. These include treatment and harm reduction programmes (for substance use), improving transitional support programmes and continuity of care (for mental health), diversion and drug reform (for repeat incarceration) and nurturing stable relationships during incarceration. The period of imprisonment and shortly after release provides a unique opportunity to improve the long-term health of ex-prisoners and overcome the disadvantage associated with imprisonment. [ABSTRACT FROM AUTHOR]

Objectives: Psychosocial job stressors are known to be associated with poor mental health. This research seeks to assess the relationship between psychosocial working conditions and suicidal ideation using a large dataset of Australian males. Study design: Cross-sectional study. Methods: Data from wave 1 of the Australian Longitudinal Study on Male Health (Ten to Men) was used to assess the association between suicidal ideation in the past two weeks and psychosocial working conditions using logistic regression. The sample included 11,052 working males. The exposures included self-reported low job control, high job demands, job insecurity and low fairness of pay. We controlled for relevant confounders. Results: In multivariable analysis, persons who were exposed to low job control (odds ratio [OR] 1.15, 95% confidence interval [CI] 1.05-1.26, P = 0.003), job insecurity (OR 1.69, 95% CI 1.44-1.99, P < 0.001) and unfair pay (OR 1.19, 95% CI 1.11-1.27, P < 0.001) reported elevated odds of thoughts about suicide. Males employed casually or on fixed-term contracts reported higher odds of suicidal ideation (OR 1.32, 95% CI 1.09-1.61, P = 0.005). Conclusion: Psychosocial job stressors are highly prevalent in the working population and workplace suicide prevention efforts should aim to address these as possible risk factors. [ABSTRACT FROM AUTHOR]

Introduction: Although many studies have examined the risk and protective factors associated with suicidal behavior, little is known about the probability of transition from suicidal thoughts to suicidal attempts and the factors that distinguish those who have suicidal thoughts from those who progress to a suicide attempt., Objectives: To determine the probability and predictors of transition to a suicide attempt among young and middle-aged males with a history of suicidal thoughts but no prior history of attempting suicide., Methods: We used data from the first two waves of the Australian Longitudinal Study on Male Health, approximately two years apart. We followed the cohort of males aged 18-55 years who, at wave 1, reported a lifetime history of suicidal ideation but no history of a prior suicide attempt. We report transition probabilities to a first suicide attempt at Wave 2 and used logistic regression models to examine baseline predictors of transition to a first suicide attempt over the two-year period among males aged 18 years and older., Results: From the 1,564 males with suicidal thoughts at wave 1,140 participants (8.9%; 95% CI:7.6,10.5) reported to have had their first suicide attempt in the two-year period. In multivariate analyses, males aged 30-39 (OR=0.31; 95% CI: 0.16,0.60), 40-49 (OR=0.47; 95% CI:0.24,0.91) and 50-55 (OR=0.31; 95% CI: 0.13,0.73) all had lower odds of a first suicide attempt compared to males aged 18-29 years. The odds of a first suicide attempt were significantly higher for males who were: living in inner regional areas (ref: major cities) (OR=2.32; 95% CI: 1.33,4.04); homosexual or bisexual (OR=2.51; 95% CI: 1.17,5.36); working night shift as their main job (OR=1.75; 95% CI: 1.05,2.91); and, living with a disability (OR=1.99; 95% CI: 1.07,3.65). Clinical indicators such as symptoms of depression and illicit substance use were not significant predictors of transition to a first suicide attempt in multivariate models, nor were indicators of social connection., Conclusion: We estimated that 8.9% of Australian males aged 15-55 years with a history of suicidal thoughts and no prior history of suicide attempts will progress to a first suicide attempt within two-years. Neither psychological distress, illicit substance use nor social connection indicators were correlated with transition to a first suicide attempt. Rather, it was socio-demographic indicators that were associated with transition to a first suicide attempt., Competing Interests: Declaration of Competing Interest The authors have no competing interests to declare., (Copyright © 2023. Published by Elsevier B.V.)

Aims: There is currently no gold-standard definition or method for identifying suicide clusters, resulting in considerable heterogeneity in the types of suicide clusters that are detected. This study sought to identify the characteristics, mechanisms and parameters of suicide clusters using three cluster detection methods. Specifically, the study aimed to: (1) determine the overlap in suicide clusters among each method, (2) compare the spatial and temporal parameters associated with different suicide clusters and (3) identify the demographic characteristics and rates of exposure to suicide among cluster and non-cluster members., Methods: Suicide data were obtained from the National Coronial Information System. N = 3027 Australians, aged 10-24 who died by suicide in 2006-2015 were included. Suicide clusters were determined using: (1) poisson scan statistics, (2) a systematic search of coronial inquests and (3) descriptive network analysis. These methods were chosen to operationalise three different definitions of suicide clusters, namely clusters that are: (1) statistically significant, (2) perceived to be significant and (3) characterised by social links among three or more suicide descendants. For each method, the demographic characteristics and rates of exposure to suicide were identified, in addition to the maximum duration of suicide clusters, the geospatial overlap between suicide clusters, and the overlap of individual cluster members., Results: Eight suicide clusters (69 suicides) were identified from the scan statistic, seven (40 suicides) from coronial inquests; and 11 (37 suicides) from the descriptive network analysis. Of the eight clusters detected using the scan statistic, two overlapped with clusters detected using the descriptive network analysis and one with clusters identified from coronial inquests. Of the seven clusters from coronial inquests, four overlapped with clusters from the descriptive network analysis and one with clusters from the scan statistic. Overall, 9.2% (12 suicides) of individuals were identified by more than one method. Prior exposure to suicide was 10.1% (N = 7) in clusters from the scan statistic, 32.5% (N = 13) in clusters from coronial inquest and 56.8% (N = 21) in clusters from the descriptive network analysis., Conclusion: Each method identified markedly different suicide clusters. Evidence of social links between cluster members typically involved clusters detected using the descriptive network analysis. However, these data were limited to the availability information collected as part of the police and coroner investigation. Communities tasked with detecting and responding to suicide clusters may benefit from using the spatial and temporal parameters revealed in descriptive studies to inform analyses of suicide clusters using inferential methods.

Introduction: More than 30 million adults are released from incarceration globally each year. Many experience complex physical and mental health problems, and are at markedly increased risk of preventable mortality. Despite this, evidence regarding the global epidemiology of mortality following release from incarceration is insufficient to inform the development of targeted, evidence-based responses. Many previous studies have suffered from inadequate power and poor precision, and even large studies have limited capacity to disaggregate data by specific causes of death, sub-populations or time since release to answer questions of clinical and public health relevance., Objectives: To comprehensively document the incidence, timing, causes and risk factors for mortality in adults released from prison., Methods: We created the Mortality After Release from Incarceration Consortium (MARIC), a multi-disciplinary collaboration representing 29 cohorts of adults who have experienced incarceration from 11 countries. Findings across cohorts will be analysed using a two-step, individual participant data meta-analysis methodology., Results: The combined sample includes 1,337,993 individuals (89% male), with 75,795 deaths recorded over 9,191,393 person-years of follow-up., Conclusions: The consortium represents an important advancement in the field, bringing international attention to this problem. It will provide internationally relevant evidence to guide policymakers and clinicians in reducing preventable deaths in this marginalized population., Key Words: Mortality; incarceration; prison; release; individual participant data meta-analysis; consortium; cohort., Competing Interests: Statement of Conflicts of Interest: SF is on the UK’s Independent Advisory Board on Deaths in Custody. PC has received grants from Abbvie and Echosens to conduct research relating to prison health. IB has received royalties from Uptodate for educational content on health care for incarcerated persons. All other authors report no conflicts of interest.

Objectives: Men are less likely to seek treatment for mental health problems than women; however, the structural employment-related factors influencing this relationship are unknown., Study Design: This is a prospective cohort study., Methods: Using the Australian Ten to Men cohort (N = 6447), we examined the relationship between being in a male-dominated occupation and treatment seeking from a mental health professional compared to being in a gender-equal occupation. Models were fit using logistic regression., Results: There was some evidence of a stepwise gradient between male-dominated occupations and treatment seeking for mental health problems. However, results were only significant for the most male-dominated occupations after adjustment (odds ratio [OR] 0.70, 95% confidence interval [CI] 0.52 to 0.94, P = 0.017). We also found evidence that individuals who more strongly adhered to masculine norms had a lower likelihood of treatment seeking (OR = 0.97, 95% CI 0.95 to 0.99, P = 0.004)., Conclusions: This supports the idea that occupational-related factors influence male treatment seeking for mental health problems., (Copyright © 2018 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.)