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青少年精神科住院患者的自杀行为:发生率及预测因素。

Suicide in adolescent psychiatric inpatients: incidence and predictive factors.

作者信息

Kjelsberg E, Neegaard E, Dahl A A

机构信息

Department Group of Psychiatry, University of Oslo, Norway.

出版信息

Acta Psychiatr Scand. 1994 Apr;89(4):235-41. doi: 10.1111/j.1600-0447.1994.tb01507.x.

Abstract

Of 1969 previous adolescent psychiatric inpatients, 1792 (91%) were traced after a mean follow-up period of 15 years. Thirty-five patients, 1.7% of the females and 2.2% of the males, had committed suicide, corresponding to a yearly suicide rate of 145/100,000 for males and 110/100,000 for females. This represents a 6-fold increase for males and a 19-fold increase for females compared with the suicide rate for 15- to 29-year-old males and females in the general population. There was seasonality in violent but not in nonviolent suicides. The patients who had committed suicide were compared with matched patients from the same sample who stayed alive. The suicide group had more depressive symptoms, more learning difficulties, poorer self esteem, were more help-rejecting, and had more immature defense mechanisms. They lacked parental support and were more often verbally abused by their parents. They had more frequently experienced serious losses in early childhood and had a higher score on enduring stressors on Axis IV in DSM-III-R. They more often came from urban areas and received poorer follow-up after discharge from hospital. Eight of these discriminating factors were combined into a predictive model for the lifetime risk of suicide in adolescent psychiatric inpatients. The model had strong predictive power, classifying 84% of the population correctly.

摘要

在1969名曾入住青少年精神病科的患者中,平均随访15年后追踪到了1792名(91%)。35名患者自杀,占女性患者的1.7%,男性患者的2.2%,男性年自杀率为145/10万,女性为110/10万。与普通人群中15至29岁男性和女性的自杀率相比,男性增加了6倍,女性增加了19倍。暴力自杀存在季节性,而非暴力自杀则没有。将自杀患者与来自同一样本的存活匹配患者进行比较。自杀组有更多的抑郁症状、更多的学习困难、更低的自尊、更抗拒帮助,且有更多不成熟的防御机制。他们缺乏父母的支持,更常受到父母的言语虐待。他们在幼儿期更常经历严重的丧失,在DSM-III-R的轴IV上的持久应激源得分更高。他们更多来自城市地区,出院后随访情况较差。将其中8个区分因素组合成青少年精神病住院患者终身自杀风险的预测模型。该模型具有很强的预测能力,能正确分类84%的人群。

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