63 resultados para Alcohol-problems
Resumo:
Low birth weight and preterm birth, and social disadvantage may negatively affect mental health of children, but findings have been inconsistent. To assess the influence of perinatal and social factors on mental health problems in children aged 7-9 years. A random sample of 805 births in So Luis, Brazil was studied in 1997/1998 and again in 2005/2006. Perinatal, socioeconomic and demographic variables were assessed within 24 h after delivery. The Strengths and Difficulties Questionnaire (SDQ) was used to assess mental health problems in the children. Simple and multiple Poisson regressions were used for statistical analysis. The overall prevalence of mental health problems in the total sample was 47.7%. The prevalences of emotional and conduct problems were 58.2 and 48.8%, respectively. Only paternal age (< 20 years) was associated with mental health problems as measured by the full SDQ scale (prevalence ratio PR = 1.27). Children born to single mothers (PR = 1.31) and those with birth weight from 1,500 to 2,499 g (PR = 1.18) and from 2,500 to 2,999 g (PR = 1.17) had a higher risk of emotional problems, but those from low income families had a lower risk (PR = 0.80). Children with a father of less than 20 years had a higher risk of having problems with their peers (PR = 1.75). A maternal education of 9 years or over was inversely associated with peer (PR = 0.70) and conduct problems (PR = 0.73). Girls had a lower risk of conduct (PR = 0.77) and hyperactivity problems (PR = 0.68). A maternal education of 4 years or less increased the risk of hyperactivity (PR = 1.48). Socioeconomic and demographic conditions were better predictors of mental health problems in children than birth weight or preterm birth. However, since most effect sizes were small most mental health problems were, unexplained by the variables in the study.
Resumo:
Objective. To estimate physical violence between intimate partners and to examine the association between violence and sociodemographic variables, use of alcohol, and other related factors. Method. This epidemiologic survey included a stratified probabilistic sample representative of the population from the city of Sao Paulo in economic and educational terms. The Gender, Alcohol and Culture: An International Study (GENACIS) questionnaire was employed. The sampling unit was the home, where all individuals older than 18 years were candidates for interview. The final sample included 1 631 people. Statistical analysis employed the Rao Scott test and logistic regression. Results. The response rate was 74.5%. Most participants were female (58.8%), younger than 40 years of age (52%), or had 5 to 12 years of schooling. Of the overall group, 5.4% reported having been victims of physical violence by an intimate partner and 5.4% declared having been aggressors of intimate partners in the past 2 years. Most men declared that none of those involved had ingested alcohol at the moment of aggression. Most women reported that nobody or only the man had drunk. Being a victim or an aggressor was associated with younger age and having a heavy-drinking partner. Women suffered more serious aggression, requiring medical care, and expressed more anger and disgust at aggression than men. Conclusions. The results underscore the importance of the association between alcohol use and risk of aggression between intimate partners, and may contribute to the design of public policies aimed to control this situation.
Resumo:
Aim: The aim of this paper was to compare the quantity and frequency of alcohol use and its associated negative consequences between two groups of college students who were identified as being ""risky drinkers."" Subjects were randomly allocated in a clinical trial to intervention or control groups. Methods: Risky drinking use was defined as Alcohol Use Disorders Identification Test (AUDIT) >= 8 and/or Rutgers Alcohol Problem Index (RAPI) >= 5 problems in the previous year. Students who had undergone the Brief Alcohol Screening and Intervention for College Students (BASICS) (N = 145 at baseline; 142 at 12 months, and 103 at 24 months, loss of 29.7%) were compared with a control group (N = 121 at baseline; 121 at 12 months and 113 at 24 months, loss of 9.3%), the nonintervention group. Variables included drinking frequency, quantity and peak consumption, dependence assessment, and family and friends` abuse assessment. Results: Treated students at a 24-month follow-up decreased quantity of alcohol use per occasion and lowered AUDIT and RAPI scores. Conclusions: This is the first brief intervention work on risky drinking with college students in Brazil and the results are encouraging. However, it is difficult to conduct individual prevention strategies in a country where culture fosters heavy drinking through poor public policy on alcohol and lack of law enforcement.