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The violence risk assessment of the community patients with severe mental illness and Logistic regression analysis on associated factors / 中华行为医学与脑科学杂志
Chinese Journal of Behavioral Medicine and Brain Science ; (12): 1029-1031, 2012.
Artigo em Chinês | WPRIM | ID: wpr-429976
ABSTRACT
Objective To assess the violence risk levels of the community patients with severe mental illness and Analyze the associated factors.Methods A working group composed of psychiatrists,community police,FIMITIC staff,community physicians,neighborhood or village committee members was established.501 community patients with severe mental illness were evaluated with Violence Risk Assessment Scale by working group.While the data of the general demograpbic,medical history and violence history was investigated.Logistic regression analysis was used to explore the factors associated with violence.Results In 501 patients,risk levels of grade 0124cases (24.8%),grade 1165 cases (32.9%),grade 2118 cases (23.5%),grade 359 cases (11.8%),grade 428 cases (5.6%) and grade 57 cases (1.4%).Logistic regression analysis showed four significant risk factors,which were schizophrenia (OR 4.139),no taking medicine (OR 6.883),unstable condition (OR 234.534) the number of previous violence(OR 3.457) (P < 0.05).Logistic regression equationLogit (severe violence) =-8.511 + 1.420 (schizophrenia) + 1.929 (no taking medicine) + 5.458 (unstable condition) +1.241 (the number of previous violence).Conclusion The results of violence risk assessment and risk factors have directive significance for management of community patients with severe mental illness.

Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Tipo de estudo: Estudo de etiologia / Fatores de risco Idioma: Chinês Revista: Chinese Journal of Behavioral Medicine and Brain Science Ano de publicação: 2012 Tipo de documento: Artigo

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Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Tipo de estudo: Estudo de etiologia / Fatores de risco Idioma: Chinês Revista: Chinese Journal of Behavioral Medicine and Brain Science Ano de publicação: 2012 Tipo de documento: Artigo