Determination of Education Level and Related Factors in Suicide Attempters Admitted to the Poison Ward of a Hospital

• 出版年: Annals of Indian Psychiatry
• 主要な著者: Mahdiye Golestani Fard, Dorsa Bahrami Zanjanbar, Shahin Shadnia, Latif Gachkar, Babak Mostafazadeh, Mitra Rahimi, Peyman Erfan Talab Evini
• フォーマット: 論文
• 言語: 英語
• 出版事項: Wolters Kluwer Medknow Publications 2025-07-01
• 主題: behavioral risk factors; education; psychiatric disorders; risk factors; suicide attempt
• オンライン･アクセス: https://journals.lww.com/10.4103/aip.aip_182_24
• ISSN: 2588-8358; 2588-8366

Background: Suicide is a global public health concern with significant social, psychological, and economic implications. This study aims to assess the relationship between confounding factors including education level, marital status, gender, disease history, and habitual history of suicidal attempts. Methods: Two hundred patients participated in the present study by completing a researcher-made questionnaire including substance abuse, addiction, and previous suicide attempts, demographics such as age, gender, marital status, education level, and job status, and also personal data such as medical history, family history of suicide, and reasons for the suicide attempt. Furthermore, participants filled out a structured clinical interview for the diagnostic and statistical manual of mental disorders, fifth edition (DSM-5) disorders (SCID-5-CV) as a screening tool for the diagnosis of psychiatric disorders. Data were analyzed using SPSS 22. Results: Eighty-eight (44%) of the subjects were men and 112 (56%) were women. Furthermore, 94 (47%) of subjects were single. The mean ± standard deviation for the age of the patients was 30.26 ± 11.89. The education level of most of them was diploma 71 (35.5%). One hundred and forty-three patients (71.5%) used medication as a suicide method. The most common cause of suicide was family issues 142 (71%). We found statistically significant relationships between subjects’ education and variables including gender (P = 0.003), job status (P < 0.001), history of disease (P < 0.001), suicide method (P = 0.023), substance abuse disorder (P = 0.003), and addiction (P < 0.001). Conclusion: Our results highlight the need for focused interventions and support systems to address the particular risk factors that may disproportionately affect individuals with lower levels of education.