Objective: Conduct a systematic review and meta-analysis to evaluate levels of anger among substance users compared to non-user controls and to analyze the possible association between anger and psychoactive substance use (PSU). Methods: The procedures of this review followed the Meta-Analyzes of Observational Studies in Epidemiology (MOOSE) and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Four electronic databases (MEDLINE, EMBASE, BIREME, PsycINFO) were searched. Results: Twelve studies were included in the meta-analysis; 10 used the State-Trait Anger Expression Inventory (STAXI) anger trait subscale and two used the Buss-Perry-Aggression Questionnaire (BPAQ) anger subscale. The sample included 2,294 users of psychoactive substances and 2,143 non-users, all male. The mean difference in anger scale scores between users and non-users was 2.151 (95%CI 1.166-3.134, p ≤ 0.00, inconsistency index [I2] = 98.83) standard deviations. Age and abstinence duration did not moderate the difference in anger between substance users and non-users. Conclusion: Users of psychoactive substances had elevated anger scores compared to non-users, which represents a high risk of relapse. It is suggested that PSU treatment programs include intensive anger management modules, focusing on factors such as dealing with daily stressors, family conflicts, frustrations, and problems.

OBJETIVO: Avaliar a concordância do padrão de fatores de risco de mulheres que desenvolvem diabetes gestacional e pré-eclâmpsia. MÉTODOS: Estudo de coorte prospectivo em clínicas de atendimento pré-natal do Sistema Único de Saúde de seis capitais do Brasil, 4.766 mulheres grávidas de 20 a 48 anos de idade foram arroladas de maneira consecutiva entre a 20º e 28º semanas de gestação. O hábito de fumar e os fatores de risco tradicionais para pré-eclâmpsia e diabetes gestacional foram obtidos por entrevista no arrolamento. Diabetes gestacional foi diagnosticada usando um teste oral de tolerância a glicose com 75 g e pré-eclâmpsia por meio de revisão de prontuário. RESULTADOS: Diabetes gestacional e pré-eclâmpsia são associadas com idade (RC 2,07; 95% IC 1,65-2,23 e RC 1,55; 95% IC 1,08-2,23, respectivamente), índice de massa corporal pré-gestacional (RC 1,62; 95% IC 1,40-3,53 e RC 1,83; 95% IC 1,52-4,80, respectivamente) e ganho de peso precocemente durante a gestação (RC 1,28; 95% IC 1,12-1,47 e RC 1,27; 95% IC 1,06-1,52, respectivamente). Menor chance de diabetes gestacional (RC 0,31; 95% IC 0,22-0,44) e pré-eclâmpsia (RC 0,36; 95% IC 0,20-0,51) foram observados em mulheres nulíparas que fumaram durante a gestação. CONCLUSÃO: Diabetes gestacional e pré-eclâmpsia compartilham um padrão de fatores de risco, sugerindo a possibilidade de uma etiologia comum.

OBJECTIVE: To evaluate commonality of risk factor profiles of women who develop gestational diabetes and pre-eclampsia. METHODS: Prospective cohort study in prenatal clinics of the Brazilian Unified Health System in six state capitals. 4.766 pregnant women between 20 to 48 years old were consecutively enrolled between 20th and 28th gestational weeks. Smoking habits and traditional risk factors for pre-eclampsia and gestational diabetes were obtained by the interview at enrollment. Gestational diabetes was diagnosed using a 75-g oral glucose tolerance test and pre-eclampsia through chart review. RESULTS: Both gestational diabetes and pre-eclampsia were associated with age (OR 2.07; 95% CI 1.65-2.23 and OR 1.55; 95% CI 1.08-2.23, respectively), pre-pregnancy body mass index (OR 1.62; 95% CI 1.40-3.53 and OR 1.83; 95% CI 1.52-4.80, respectively) and weight gain in early pregnancy (OR 1.28; 95% CI 1.12-1.47 and OR 1.27; 95% CI 1.06-1.52, respectively). Lower odds of gestational diabetes (OR 0.31; 95% CI 0.22-0.44) and pre-eclampsia (OR 0.36; 95% CI 0.20-0.51) were observed in nulliparous women who have smoked during pregnancy. CONCLUSIONS: Gestational diabetes and pre-eclampsia share a pattern of risk factors, suggesting the possibility of common aetiology.

O objetivo deste estudo é avaliar as propriedades diagnósticas da circunferência da cintura na predição de desfechos adversos da gestação relacionados à obesidade. Gestantes com 20 ou mais anos de idade, foram arroladas consecutivamente, entre 20 e 28 semanas de gestação, em seis capitais do Brasil, entre 1991 e 1995. Peso, altura e circunferência da cintura foram aferidos e um teste de tolerância à glicose foi realizado. As pacientes foram acompanhadas até o parto através de revisão de prontuários. Propriedades diagnósticas para os diferentes desfechos, mensurados através da área sob a curva Receiver Operator Charactheristic (ROC), foram estimadas por regressão logística. Áreas (IC95%) sob as curvas ROC para a cintura foram 0,621 (0,589-0,652) para diabetes gestacional, 0,640 (0,588-0,692) para pré-eclâmpsia e 0,645 (0,617-0,673) para macrossomia. Estas áreas foram similares às encontradas para o IMC (p > 0,05). A cintura de 82cm apresentou máximas sensibilidade (63%) e especificidade (57%). Um ponto de corte de 23kg/m² para o IMC pré-gestacional e de 26kg/m² para o IMC no arrolamento produziu propriedades diagnósticas semelhantes. A medida da circunferência da cintura prediz complicações como diabete gestacional, pré-eclâmpsia e macrossomia fetal tão bem quanto o IMC.

The aim of this study is to evaluate the diagnostic properties of waist circumference in the prediction of obesity-related gestational outcomes. Pregnant women 20 years or older were consecutively enrolled in six Brazilian State capitals from 1991 to 1995. Weight, height, and waist circumference were measured and an oral glucose tolerance test was performed. Patients were followed through childbirth by chart review. Diagnostic performance for the different outcomes, as measured by area under the receiver operating characteristic (ROC) curve, was estimated through logistic regression. Areas under the ROC curve (95%CI) for waist circumference were 0.621(0.589-0.652) for gestational diabetes, 0.640 (0.588-0.692) for preeclampsia, and 0.645(0.617-0.673) for macrosomia. These areas were similar to those for BMI (p > 0.05). A waist circumference of 82cm jointly maximized sensitivity (63%) and specificity (57%). Cutoff points of 23kg/m² for pre-pregnancy BMI and 26kg/m² for BMI at enrollment produced similar diagnostic properties. In conclusion, waist circumference predicts obesity-related adverse pregnancy outcomes at least as well as BMI.

O objetivo deste estudo é avaliar as propriedades diagnósticas da circunferência da cintura na predição de desfechos adversos da gestação relacionados à obesidade. Gestantes com 20 ou mais anos de idade, foram arroladas consecutivamente, entre 20 e 28 semanas de gestação, em seis capitais do Brasil, entre 1991 e 1995. Peso, altura e circunferência da cintura foram aferidos e um teste de tolerância à glicose foi realizado. As pacientes foram acompanhadas até o parto através de revisão de prontuários. Propriedades diagnósticas para os diferentes desfechos, mensurados através da área sob a curva Receiver Operator Charactheristic (ROC), foram estimadas por regressão logística. Áreas (IC95%) sob as curvas ROC para a cintura foram 0,621 (0,589-0,652) para diabetes gestacional, 0,640 (0,588-0,692) para pré-eclâmpsia e 0,645 (0,617-0,673) para macrossomia. Estas áreas foram similares às encontradas para o IMC (p > 0,05). A cintura de 82cm apresentou máximas sensibilidade (63%) e especificidade (57%). Um ponto de corte de 23kg/m² para o IMC pré-gestacional e de 26kg/m² para o IMC no arrolamento produziu propriedades diagnósticas semelhantes. A medida da circunferência da cintura prediz complicações como diabete gestacional, pré-eclâmpsia e macrossomia fetal tão bem quanto o IMC.

The aim of this study is to evaluate the diagnostic properties of waist circumference in the prediction of obesity-related gestational outcomes. Pregnant women 20 years or older were consecutively enrolled in six Brazilian State capitals from 1991 to 1995. Weight, height, and waist circumference were measured and an oral glucose tolerance test was performed. Patients were followed through childbirth by chart review. Diagnostic performance for the different outcomes, as measured by area under the receiver operating characteristic (ROC) curve, was estimated through logistic regression. Areas under the ROC curve (95%CI) for waist circumference were 0.621(0.589-0.652) for gestational diabetes, 0.640 (0.588-0.692) for preeclampsia, and 0.645(0.617-0.673) for macrosomia. These areas were similar to those for BMI (p > 0.05). A waist circumference of 82cm jointly maximized sensitivity (63%) and specificity (57%). Cutoff points of 23kg/m² for pre-pregnancy BMI and 26kg/m² for BMI at enrollment produced similar diagnostic properties. In conclusion, waist circumference predicts obesity-related adverse pregnancy outcomes at least as well as BMI.