900 research outputs found

    UNIFORM APPLICATION FY 2017 BEHAVIORAL HEALTH REPORT COMMUNITY MENTAL HEALTH SERVICES BLOCK GRANT

    Get PDF
    This 2017 application includes state information such as DUNS number, agency grantee and contact person for the grantee. The annual report section includes annual performance indicators to measure goal success and reports of progress toward goal attainment

    Lifestyle and demographic correlates of poor mental health in early adolescence

    Get PDF
    Aim: To determine the constellation of lifestyle and demographic factors that are associated with poor mental health in an adolescent population. Methods: The Raine Study 14-year follow-up involved primary care givers and their adolescent children (n = 1860). The Child Behaviour Checklist (CBCL) was used to assess adolescent mental health. We examined diet, socio-demographic data, family functioning, physical activity, screen use and risk-taking behaviours with mental health outcomes using linear regression. Results: Adolescents with higher intakes of meat and meat alternatives and ‘extras’ foods had poorer mental health status. Adverse socioeconomic conditions, higher hours of screen use and ever partaking in the health risk behaviours of smoking and early sexual activity were significantly associated with increasing CBCL scores, indicative of poorer functioning. Conclusions: By identifying the lifestyle and demographic factors that accompany poorer mental health in early adolescence, we are able to better understand the context of mental health problems as they occur within an adolescent population

    Genetic and environmental risk factors in the non-medical use of over-the-counter or prescribed analgesics, and their relationship to major classes of licit and illicit substance use and misuse in a population-based sample of young adult twins

    Get PDF
    Background and Aims: The non-medical use of over-the-counter or prescribed analgesics (NMUA) is a significant public health problem. Little is known about the genetic and environmental etiology of NMUA and how these risks relate to other classes of substance use and misuse. Our aims were to estimate the heritability NMUA and sources of genetic and environmental covariance with cannabis and nicotine use, cannabis and alcohol use disorders and nicotine dependence in Australian twins. Design: Biometrical genetic analyses or twin methods using structural equation univariate and multivariate modeling. Setting: Australia. Participants: A total of 2007 young adult twins [66% female; μ\ua0=\ua025.9, standard deviation (SD)\ua0=\ua03.6, range\ua0=\ua018–38] from the Brisbane Longitudinal Twin Study retrospectively assessed between 2009 and 2016. Measurements: Self-reported NMUA (non-opioid or opioid-based), life-time nicotine, cannabis and opioid use, DSM-V cannabis and alcohol use disorders and the Fagerström Test for Nicotine Dependence. Findings: Life-time NMUA was reported by 19.4% of the sample. Univariate heritability explained 46% [95% confidence interval (CI)\ua0=\ua00.29–0.57] of the risks in NMUA. Multivariate analyses revealed that NMUA is moderately associated genetically with cannabis (r\ua0=\ua00.41) and nicotine (r\ua0=\ua00.45) use and nicotine dependence (r\ua0=\ua00.34). In contrast, the genetic correlations with cannabis (r\ua0=\ua00.15) and alcohol (r\ua0=\ua00.07) use disorders are weak. Conclusions: In young male and female adults in Australia, the non-medical use of over-the-counter or prescribed analgesics appears to have moderate heritability. NMUA is moderately associated with cannabis and nicotine use and nicotine dependence. Its genetic etiology is largely distinct from that of cannabis and alcohol use disorders

    Religiosity and decreased risk of substance use disorders: is the effect mediated by social support or mental health status?

    Get PDF
    The negative association between religiosity (religious beliefs and church attendance) and the likelihood of substance use disorders is well established, but the mechanism(s) remain poorly understood. We investigated whether this association was mediated by social support or mental health status. We utilized cross-sectional data from the 2002 National Survey on Drug Use and Health (n = 36,370). We first used logistic regression to regress any alcohol use in the past year on sociodemographic and religiosity variables. Then, among individuals who drank in the past year, we regressed past year alcohol abuse/dependence on sociodemographic and religiosity variables. To investigate whether social support mediated the association between religiosity and alcohol use and alcohol abuse/dependence we repeated the above models, adding the social support variables. To the extent that these added predictors modified the magnitude of the effect of the religiosity variables, we interpreted social support as a possible mediator. We also formally tested for mediation using path analysis. We investigated the possible mediating role of mental health status analogously. Parallel sets of analyses were conducted for any drug use, and drug abuse/dependence among those using any drugs as the dependent variables. The addition of social support and mental health status variables to logistic regression models had little effect on the magnitude of the religiosity coefficients in any of the models. While some of the tests of mediation were significant in the path analyses, the results were not always in the expected direction, and the magnitude of the effects was small. The association between religiosity and decreased likelihood of a substance use disorder does not appear to be substantively mediated by either social support or mental health status
    corecore