Prevalence and interventions in juvenile substance

evidence based interventions for adolescent substance use

For example, students in several lower- to middle-income countries who have engaged in alcohol use are at higher risk for psychological distress [ 3 ]. A major strength of NSDUH is its ability to support estimates for all 50 states and the District of Columbia, and the data are collected every year.

Intervention for adolescent substance use

Despite these risks, substance use is common: 60 million Americans smoke, 14 million are alcohol-dependent, and 14 million use illicit drugs including marijuana 1. Efforts should be concerted on early identification, awareness and prevention programs, and routine monitoring of adolescent health data. Surveys were administered from January to March Participants were categorized as MSM if they: 1 were assigned a male sex at birth, 2 identified a male gender; and 3 reported any sex with another male in the past 3 months. For observational studies, we will use relevant questions from the Newcastle Ottawa Scale. We may conduct random effects model meta-analyses of comparative studies if at least three studies are sufficiently similar in population, interventions, outcomes, and study design. Role of the Funder This project was funded under Contract No. Assessing Applicability We will assess the applicability within and across studies with reference to adolescents in the populations of interest i. The following are some suggested implications based on research and literature.

Key Informants are not involved in analyzing the evidence or writing the report and have not reviewed the report, except as given the opportunity to do so through the peer or public review mechanism. The reference lists from systematic reviews will be reviewed for the presence of additional primary studies.

drug abuse in youth

The majority of the sample were behaviorally infected with HIV Multivariate ordinal-multinomial cumulative logit analysis, multivariate nominal-multinomial logit analysis, and binominal logit analysis were used to build models illustrating the relationship between risk and protective factors and student alcohol and illicit drug use.

Many youth engage in multiple substance use behaviors 10and the presence of co-occurring substance use and psychiatric illnesses has been associated with poor drug and alcohol treatment outcomes among adolescents 11as well as increased HIV risk behaviors. Efforts should be concerted on early identification, awareness and prevention programs, and routine monitoring of adolescent health data.

Second, we conducted correlation analyses using the phi coefficient to examine the extent to which the substance use outcome variables were correlated with each other.

substance abuse in adolescence

Longitudinal substance initiation outcomes for a universal preventive intervention combining family and school programs.

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Prevalence of Use, Abuse, & Dependence