Application of the Information-Motivation and Behavioral Skills [IMB] model in risky sexual behaviors amongst male students

As AIDS is not merely a hygienic problem but a disease that creates a great deal of economic, cultural, and social problems, it is necessary for most of the state and nongovernmental organizations and individuals to participate in both controlling AIDS and preventing it. As no effective vaccine or therapy for this disease exists currently, the only method for avoiding being afflicted by this disease is prevention. The present study aims to examine the Information-Motivation and Behavioral Skills [IMB] model in risky sexual behaviors. For this purpose, a group of 151 male students was sampled using a multistage random sampling method to complete the quality of HIV information questionnaire, national AIDS questionnaire, international AIDS questionnaire and global positive attitude to AIDS questionnaire. The results show that there is a significant relationship between the perception of HIV infection risk and sexual behavior. Thus, the perception of risk is considered the first step toward modifying sexual behaviors from risk-taking behaviors to safer behaviors

[ role of depression, stress, happiness and social support in identifying suicidal thoughts in students]

This study has investigated the predictive value of psychological constructs including stressfulness of life, depression, happiness and social support on the rate of suicidal thoughts in students. The study sample included 1094 boys and girls residing in the Tehran University's student dormitory. The participants completed Suicidal Ideation Scale [SIS], Student Depression Scale [SDS], Student Life Stress Inventory [SLSI], Oxford Happiness Scale [OHS], and Social Support [SS] scale. The statistical data analysis using multiple regression techniques showed that happiness, depression, stress and social support account for 76 percent of the changes in students' suicidal thoughts. In addition, the results showed that depression has the strongest predictive power of suicidal thoughts. Depression and related structural variables could be used for predicting and efficiently identifying students' suicidal thoughts