[Suicide ideation and heritability coefficient among monozygotic and dizygotic twins]

This study aimed to assess suicidal ideation based on gender, age, marital status and heritability coefficient estimate in a sample of 11 to 35 years-old monozygotic and dizygot twins. One hundred and sixteen twins [MZ=66, DZ=50; age, 11-35] were invited to complete the Suicide Ideation Scale [SIS] in the anniversary of Laleh and Ladan. Analysis of variance showed that gender, age and marital status together accounted for 80% of the total variation of suicidal ideation in twins. There were significantly higher rates of suicidal ideation between women, adolescents, and singles in comparison with men, young people, and married people, respectively. The heritability coefficient in adolescent and young twins was 0.49. The findings suggest that women, adolescents and single people, respectively, compared to men, young people and married people are at higher risk of suicidal ideation. Regarding heritability of suicidal ideation, supervising of significant others to people with suicide ideation must be considered in mental health policy making in the field of primary and secondary prevention

[ 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