Rate and Causes of Suicide in Ilam: A Report of the Suicide Registry.

Objective: Suicide is one of the most important health problems in the world. Financial, academic, social, and environmental difficulties along with genetic, physical, and mental disorders affect suicide attempts. This study aimed to find risk factors for completed suicide in Ilam province according to the suicide registry in Ilam province. Method : This was a prospective study and was performed based on suicide case registration data, pre-determined checklist data, and death registration data in Ilam province from March 2019 to September 2020. Logistic regression models and the Chi-square test were used to determine the relationship between completed suicide and its risk factors. Results: Among 1,410 attempted suicides, 66 (4.7 %) were executed. Rate of completed suicides was higher in men (6.5%) compared to women (4.5%), (p = 0.005), age groups over 65 years (P < 0.001), retirees and farmers (P = 0.009), illiterate people (P < 0.001), villagers (P = 0.02), people motivated due to physical problems (P = 0.016), suicide by physical methods (P < 0.001) and self-immolation (P < 0.001). Logistic regression showed that incidence of completed suicide was significantly higher in the age group over 65 years, illiterate people, people using physical methods, villagers, and men. Multivariate logistic regression also showed that men and individuals using physical methods of suicide were significantly more successful in suicide. Conclusion: Men, the elderly, illiterates, villagers, and people who used physical suicide methods were in high-risk groups. Despite lower prevalence of suicide, a higher rate of completed suicide was demonstrated. To decrease completed suicide rates, we must pay attention to these groups.

Association between quality of life, sleep quality and mental disorders in Iranian older adults.

Aging as a major challenge can affect the development and growth of countries all around the world. This study aimed to identify the subgroups of the elderly based on the quality of life (Qol), sleep quality, and common mental disorders and assess the role of demographic characteristics on the membership of participants in each latent class. This cross-sectional study was conducted on 1064 people over the age of 60 years. The sample was selected through cluster sampling in northern Iran. All participants completed six sets of checklists and questionnaires. Data analysis was performed using latent class analysis. Three latent classes were identified; namely, (1) healthy (66.8%), (2) anxious and with poor sleep quality (28.6%), and unhealthy (4.6%). Being Female significantly increased the odds of membership in classes 2 and 3 compared to class 1. Furthermore, living in urban areas increased the odds of belonging to class 2 and class 3 compared to class 1. Illiteracy was also shown to increase the odds of being in class 3 in comparison to class 1. Results from the present indicate that the co-occurrence of health problems in 33.2% of the elderly was observed in various forms. The results of this study can be used in prioritizing health programs for the elderly and emphasizing high-risk groups.