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首页> 外文期刊>Preventive Medicine: An International Journal Devoted to Practice and Theory >Psychiatric comorbidity and causal disease models
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Psychiatric comorbidity and causal disease models

机译：精神病合并症和因果疾病模型

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In psychiatry, comorbidity is the rule rather than the exception. Up to 45% of all patients are classified as having more than one psychiatric disorder. These high rates of comorbidity have led to a debate concerning the interpretation of this phenomenon. Some authors emphasize the problematic character of the high rates of comorbidity because they indicate absent zones of rarities. Others consider comorbid conditions to be a validator for a particular reclassification of diseases. In this paper we will show that those at first sight contrasting interpretations of comorbidity are based on similar assumptions about disease models. The underlying ideas are that firstly high rates of comorbidity are the result of the absence of causally defined diseases in psychiatry, and second that causal disease models are preferable to non-causal disease models. We will argue that there are good reasons to seek after causal understanding of psychiatric disorders, but that causal disease models will not rule out high rates of comorbidity - neither in psychiatry, nor in medicine in general. By bringing to the fore these underlying assumptions, we hope to clear the ground for a different understanding of comorbidity, and of models for psychiatric diseases.
机译：在精神病学中，合并症是规则而不是例外。多达45％的患者被分类为患有一种以上的精神疾病。如此高的合并症率引发了关于这种现象的解释的辩论。一些作者强调合并症发生率高的问题特征，因为它们表明缺乏稀有区。其他人则认为合并症是特定疾病重分类的验证者。在本文中，我们将证明那些乍一看对合并症的解释基于对疾病模型的类似假设。基本思想是，首先，合并症的高发病率是精神病学中没有因果关系确定的疾病的结果;其次，因果关系模型优于非因果关系模型。我们将争辩说，有充分的理由寻求对精神疾病的因果关系理解，但是因果疾病模型不会排除合并症的高发生率，无论是在精神病学领域还是在医学领域。通过突出这些基本假设，我们希望为对合并症和精神疾病模型的不同理解开辟基础。

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