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探讨精神病风险因素之间的相互作用。

Examining interactions between risk factors for psychosis.

机构信息

Department of Psychological Medicine, Cardiff University, UK.

出版信息

Br J Psychiatry. 2010 Sep;197(3):207-11. doi: 10.1192/bjp.bp.109.070904.

Abstract

BACKGROUND

For complex multifactorial diseases it seems likely that co-exposure to two risk factors will show a greater than additive relationship on disease risk.

AIMS

To test whether greater than additive relationships occur between risk factors for psychosis.

METHOD

A cohort study of 50 053 Swedish conscripts. Data on IQ, cannabis use, psychiatric diagnoses, disturbed behaviour and social relations assessed at age 18 were linked to admissions with any non-affective psychoses over a 27-year follow-up period. Statistical interactions between risk factors were examined under both additive and multiplicative models.

RESULTS

There was some evidence of interaction for eight of the ten combinations of risk factors under additive models, but for only one combination under multiplicative models.

CONCLUSIONS

Multiplicative models describe the joint effect of risk factors more adequately than additive ones do. However, the implications of finding interactions as observed here, or for most interactions reported to date, remain very limited.

摘要

背景

对于复杂的多因素疾病,两种风险因素的共同暴露似乎会对疾病风险产生大于相加的关系。

目的

检验精神分裂症风险因素之间是否存在大于相加的关系。

方法

这是一项对 50053 名瑞典应征者进行的队列研究。在 18 岁时评估的智商、大麻使用、精神疾病诊断、行为障碍和社会关系等数据,与 27 年随访期间任何非情感性精神病的入院情况相关联。在加性和乘法模型下,检验了风险因素之间的统计相互作用。

结果

在加性模型下,十种风险因素组合中有八种存在一定的相互作用证据,但在乘法模型下只有一种组合存在相互作用证据。

结论

乘法模型比加性模型更能准确描述风险因素的联合效应。然而,像在这里观察到的或迄今为止报告的大多数相互作用,其影响仍然非常有限。

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