RESUMO
BACKGROUND: Illicit drug consumption in Mexico has been growing constantly and has begun to be a public health problem. The aim of this study is to identify the principal characteristics and socioeconomic variables associated with consumption of illegal drugs in Mexico. METHODS: Using information from the 2016 national addictions survey in Mexico, we develop a logistic regression model to determine the variables associated with drug consumption, sometime in lifetime or recently, in the general population of Mexico. RESULTS: Analyzing information from 56,877 persons, the prevalence of the use of illicit drugs at least once in lifetime was 15.4% and 3.6% for males and females, respectively. The variables associated with more consumption of illegal drugs was utilization of substances with alcohol (RR 9.3; 95% CI 7.9-10.8) and nicotine products (RR 4.7; 95% CI 4.3-5.1), male gender (RR 2.6; 95% CI 2.4-2.8), and relatives' drug consumption (RR 2.1; 95% CI 1.8-2.4). CONCLUSIONS: Having more education, being older, and having a partner was associated with lower illicit drug consumption sometime in lifetime; in the case of recent consumption, in addition, having a job or active child-rearing in the house in a positive sense.
Assuntos
Comportamento Aditivo , Drogas Ilícitas , Transtornos Relacionados ao Uso de Substâncias , Consumo de Bebidas Alcoólicas/epidemiologia , Feminino , Humanos , Masculino , México/epidemiologia , Fatores Socioeconômicos , Transtornos Relacionados ao Uso de Substâncias/epidemiologiaRESUMO
The stay-at-home restrictions to control the spread of COVID-19 led to unparalleled sudden change in daily life, but it is unclear how they affected urban crime globally. We collected data on daily counts of crime in 27 cities across 23 countries in the Americas, Europe, the Middle East and Asia. We conducted interrupted time series analyses to assess the impact of stay-at-home restrictions on different types of crime in each city. Our findings show that the stay-at-home policies were associated with a considerable drop in urban crime, but with substantial variation across cities and types of crime. Meta-regression results showed that more stringent restrictions over movement in public space were predictive of larger declines in crime.