Psychiatric heterogeneity of recent suicide attempters: A latent class analysis
نویسندگان
چکیده
منابع مشابه
Psychiatric Illness in Suicide Attempters
Sample consisted of a series of 100 cases of attempted suicide who were hospitalized in medical or psychiatric wards of the two hospitals of Lucknow city during a period of two years. The study revealed about 80% subjects were in the age range of 15-34 years. Psychiatric disorders were observed in 62% of these subjects. 58% subjects had shown clinical features of abnormal personalities, usually...
متن کاملRecent advances in differentiating suicide attempters from suicide ideators.
PURPOSE OF REVIEW This article summarizes findings from recent studies (published since 2015) examining differences between suicide attempters and suicide ideators. RECENT FINDINGS Converging evidence suggests that the capability to attempt suicide (e.g., acquired capability, painful and provocative experiences, high tolerance for pain and distress) is higher in suicide attempters than suicid...
متن کاملPTSD symptom severity and psychiatric comorbidity in recent motor vehicle accident victims: a latent class analysis.
We conducted a latent class analysis (LCA) on 249 recent motor vehicle accident (MVA) victims to examine subgroups that differed in posttraumatic stress disorder (PTSD) symptom severity, current major depressive disorder and alcohol/other drug use disorders (MDD/AoDs), gender, and interpersonal trauma history 6-weeks post-MVA. A 4-class model best fit the data with a resilient class displaying ...
متن کاملfactors affecting minor psychiatric disorder in southern iranian nurses: a latent class regression analysis
conclusions the results of this study provide information about the prevalence of minor psychiatric disorder among nurses, and factors, which affect the prevalence of such disorders. these findings can be used in strategic planning processes to improve nurses’ mental health. results the prevalence of minor psychiatric disorder among nurses was estimated to be 27.5%. gender and sleep disorders w...
متن کاملAn application of Measurement error evaluation using latent class analysis
Latent class analysis (LCA) is a method of evaluating non sampling errors, especially measurement error in categorical data. Biemer (2011) introduced four latent class modeling approaches: probability model parameterization, log linear model, modified path model, and graphical model using path diagrams. These models are interchangeable. Latent class probability models express l...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Psychiatry Research
سال: 2017
ISSN: 0165-1781
DOI: 10.1016/j.psychres.2017.02.004