ABSTRACT
OBJECTIVE: To compare the results of 6-month follow-ups for hospitalized patients who were divided into two groups of low- and high-intensity treatments for smoking cessation and compared to the results of standard hospital treatment. METHODS: A total of 2414 patients were screened. Two hundred thirty-seven current smokers were randomly assigned to high-intensity intervention (HII; 30-min motivational interview plus seven routine telephone calls after hospital discharge) or to low-intensity intervention (LII; 15-min counseling about the benefits of quitting) and 80 comprised the usual care (UC) group. Six months after hospital discharge, all participants were contacted by phone. The main outcome measure was smoking cessation. RESULTS: The smoking-cessation rates were 44.9%, 41.7% and 26.3% for the HII, LII and UC groups, respectively (P = .03). The multivariable analysis identified the following variables which are associated with the failure to stop smoking: the absence of a tobacco-related disease (TRD), younger age and a low motivation for cessation at the initial contact. CONCLUSIONS: There was a great difference between intervention and nonintervention. The LII had an impact similar to the HII. The variables associated with no smoking cessation demonstrate the need for more personalized interventions for smokers who present lower indexes of motivation, are younger and do not have smoking-related diseases.
Subject(s)
Patient Admission/statistics & numerical data , Smoking Cessation/methods , Smoking Cessation/statistics & numerical data , Adult , Brazil , Combined Modality Therapy , Counseling/methods , Female , Hospitals, University , Humans , Male , Middle Aged , Motivation , Multivariate Analysis , Smoking/adverse effects , Smoking/psychology , TelephoneABSTRACT
OBJECTIVE: To identify the factors associated with suicide ideation among medically and surgically hospitalized patients. METHODS: A consecutive sample of 4328 individuals admitted to a general hospital completed a screening questionnaire comprised of demographic and clinical information, the Mini International Neuropsychiatric Interview item on current suicide ideation, the Hospital Anxiety and Depression Scale subscale for depression and the Alcohol use Disorder Identification Test. A multiple logistic regression produced a discriminate profile of individuals with suicide ideation. RESULTS: The prevalence rate for current suicide ideation was 4.9% (95% CI: 4.3-5.6). Patients admitted to the Infectious Disease, Oncology and Hematology units presented higher rates of suicide ideation (7.9%, 7.8% and 7.2%, respectively). Suicidal ideation was associated to depression [odds ratio (OR)=8.3], young age (18-35 years old: OR=2.5), alcohol use disorders (OR=2.3), and smoking (OR=1.8). CONCLUSION: Suicidal ideation was consistently associated with indicators of mental disorders. It is proxy, not for completed suicide, but for a variety of common psychiatric conditions that can and should be dealt with in the medical/surgical setting.
Subject(s)
Inpatients/psychology , Suicide/psychology , Surgical Procedures, Operative/psychology , Adolescent , Adult , Age Factors , Alcohol-Related Disorders/psychology , Depression/psychology , Female , Hospitalization , Humans , Logistic Models , Male , Middle Aged , Odds Ratio , Psychiatric Status Rating Scales , Smoking/psychology , Surveys and Questionnaires , Young AdultABSTRACT
This paper aims to identify variables associated with suicidal ideation during the previous 12 months in the city of Campinas, São Paulo, Brazil. Using a case-control design, risk factors for suicidal ideation were investigated through analysis of independent variables related to the individual, family, and health. Some 29 cases of suicidal ideation and 166 controls were interviewed. Cases were identified through a previous cross-sectional study, and controls were randomly selected from the same population base among those with no history of suicidal ideation in the previous 12 months. Regression models were used to control for confounders and effect modifiers. According to the results, demographic variables were not associated with suicidal ideation. In the final model, the variables that remained statistically significant were depressive symptoms, emotional difficulties, lack of neighborhood support, and less frequent church attendance. Suicidal ideation was consistently associated with factors related to depressive symptoms, especially lack of energy and depressed mood.
