METHOD: This is a multi-site cross-sectional study. The authors conducted a survey based on a translated self-administered questionnaire to participants from seven core hospital departments.
RESULTS: While most health-care workers regardless of department and specialty took their duty to prevent suicide seriously, a large majority of them expressed negative attitudes such as finding suicidal behavior irritating, and more than half believed suicidal attempts were a way of making others sorry. However, psychiatric workers were less likely to have judgmental attitudes that included believing suicide attempters as being selfish or trying to get sympathy from others.
CONCLUSIONS: As there were more similarities than differences in health-care workers' attitudes toward suicide, recommendations on basic and continuous suicide prevention and management training among hospital workers were made. The interventions focused on improving knowledge, affective, and skill-based areas that were aimed to correct the wrongful understanding of and to minimize the negative attitudes toward suicidal individuals indicated by the study results.
DESIGN: Population-based, cross-sectional study. Receiver operating characteristic curves were used to determine the cut-off values of BMI with optimum sensitivity and specificity for the detection of three cardiovascular risk factors: diabetes mellitus, hypertension and hypercholesterolaemia. Gender-specific logistic regression analyses were used to examine the association between BMI and these cardiovascular risk factors.
SETTING: All fourteen states in Malaysia.
SUBJECTS: Malaysian adults aged ≥18 years (n 32 703) who participated in the Third National Health and Morbidity Survey in 2006.
RESULTS: The optimal BMI cut-off value for predicting the presence of diabetes mellitus, hypertension, hypercholesterolaemia or at least one of these cardiovascular risk factors varied from 23.3 to 24.1 kg/m2 for men and from 24.0 to 25.4 kg/m2 for women. In men and women, the odds ratio for having diabetes mellitus, hypertension, hypercholesterolaemia or at least one cardiovascular risk factor increased significantly as BMI cut-off point increased.
CONCLUSIONS: Our findings indicate that BMI cut-offs of 23.0 kg/m2 in men and 24.0 kg/m2 in women are appropriate for classification of overweight. We suggest that these cut-offs can be used by health professionals to identify individuals for cardiovascular risk screening and weight management programmes.