[ prevalency of attempted suicide in Golestan province, north of Iran during 2003-07]

Suicide is one of the important causes of death worldwide particularly among 44-15 years. The aim of this study was to survey the prevalency of attempted suicide in Golestan province, North of Iran during 2003-07. This descriptive study conducted on 4977 suicide attempted subjects in Golestan province, North of Iran during 2003-07. Data were gathered through a filed questioners. Data was analyzed by SPSS-18 and Chi-Square test. Mean +/- SD of the subjects was 22.91 +/- 7.59 years. The female to male ratio was 1.62. 55.6% of subjects were single. The subjects resided in urban and rural area were 62% and 37.8%, respectively. 61.4% and 27.1% of subjects have finished and un-finished high-school studies. 2% and 0.9% from those attempted suicide were died and referred to specific centers, respectively for further medical follow-up. There was a positive correlation between suicide single status and low educated subjects with P=0.036 and P=0.001 respectively. The findings indicated that the prevalency of suicide were higher among single, female and those with lower education

[ effect of education on nurse's staff knowledge, attitude and practice toward hypertension]

Hypertension is the most important Cardio-Vascular risk factor, and also the most common cause of heart failure, stroke and renal failure. This semi-experimental study aimed at determining the effect of education, by means of Health Belief Model [HBM], on nurse's staff knowledge, attitude and their practice toward hypertension. This semi-experimental study was done on 136 nurse's staff selected by stratified random sampling. Data collection instrument were a questionnaire and a check-list. At first, the subjects' knowledge, attitude and their Practice were studied by a questionnaire and a check list, and then a HBM-based educational program was carried out. For three months, Afterwards, their knowledge, attitude and practice were measured and compared with pretest findings. In statistical analysis, Wilcox on test, independent t test, ANOVA and Pearson correlation. Before education the mean score of knowledge, benefit perceived, barrier perceived, threat perceived, attitude and practice was 9.68, 23.76, 25.63, 22.82, 71.99 and 4.55 respectively. After education these scores reached 16.66, 26.06, 28.94, 24.98, and 80.08 and 4.83. Based on the results, nurse's staff training via HBM led to high knowledge, positive attitude and practice improvement [p<0.05].The difference between this research variables such as age, gender, marital status, record of service and family background was not significant, But there was significant difference between variables [occupational levels, educational levels, and hospital ward] and knowledge and practice. Furthermore, the relation between hospital ward and attitude was positive [p<0.05]. In terms of the results, it is a necessity for nurse's staff to participate in a HBM based educational program

[ survey on quality of life in patients with myocardial infarction, referred to Shahrekord Hagar hospital in 2005]

Myocardial infarction [MI] is a common and dangerous disorder that threat people life and affects their quality of life. The aim of this study was to assess quality of life in patients with MI were referring to Shahrekord Hagar hospital. In this descriptive and analytical study, 150 patients who suffered from MI, were selected as sample from CCU patients in Shahrekord Hagar hospital. Via interview and referring to patients files data were collected using two sectional questionnaire that included demographic characteristic and standard questionnaire [SF36]. Data were analyzed using Chi-square test. Mean age of the patients was 55.7 +/- 10.5 and quality of life in majority of subjects under investigation was fairly favorite [53%]. Quality of life in majority of samples in general status [62%], social and occupational [65%] or sleep [61%] status was favorite. However, physical activity in 62% of samples was unfavorite. There was a meaningful correlation between period of diseases and quality of life [P<0.05]. But there was no relation between other demographic variations such as: age, gender and marital status, occupational or economical status and the quality of life. Also there is a meaningful relation between general status, social status, sleep status or physical activity with quality of life [P<0.05]. Medical staffs, especially nurses should pay attention to all dimensions of quality of life in planning care in MI patients. Because unacceptable attention to all these dimensions may cause disturbance in patients' quality of life