Associated factors to non-medical and medical use of psychoactive medication among Mexican adolescents and adults in a national household survey.

Background: Non-medical use of psychoactive medication is a public health problem. Studies in other contexts indicate that individual sociodemographic characteristics are associated with non-medical use, but these associations have not been assessed in the Mexican context.

Objectives: To estimate the prevalence non-medical and medical use of psychoactive medication among Mexican adolescents and adults' medication users and to estimate the associations between sociodemographic characteristics and non-medical use of psychoactive medication, using data from a nationally representative sample.

Innovative Identification of Substance Use Predictors: Machine Learning in a National Sample of Mexican Children.

Machine learning provides a method of identifying factors that discriminate between substance users and non-users potentially improving our ability to match need with available prevention services within context with limited resources. Our aim was to utilize machine learning to identify high impact factors that best discriminate between substance users and non-users among a national sample (N = 52,171) of Mexican children (i.e.

The influence of perceived parenting on substance initiation among Mexican children.

Parents shape their children's behaviors and impact their developmental trajectories. Despite this, few studies have examined the potential relationship between child reported parenting factors and lifetime substance use and use intentions. The current study examined the potential impact of parenting factors (i.

Sociodemographic and personal factors related to depressive symptomatology in the Mexican population aged 12 to 65.

Objective: To describe the prevalence of depressive symptoms in the Mexican population, aged 12 to 65 years, by identifying the main related socio-demographic and personal factors.

Methods: Data are drawn from the National Survey on Addictions 2008 (ENA 2008), a random, probabilistic, multistage study. A randomly selected sub-sample of 22,962 persons answered the section on depressive symptomatology, measured with the Center for Epidemiologic Studies Depression Scale (CES-D).