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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。所有患者的45％均被归类为具有多种精神疾病。这些高的合并率导致了关于这种现象的解释的争论。有些作者强调了高分子率的高率的有问题特征，因为它们表示缺陷的稀有区域。其他人认为合并条件是验证器，用于特定重新分类疾病。在本文中，我们将表明，乍一看的那些对比的合并症的解释是基于关于疾病模型的类似假设。潜在的想法是，首先是高度的合并症是精神病学中没有因果性鉴定疾病的结果，而第二种情况是非因子疾病模型的因果疾病模型。我们将争辩说，在对精神疾病的因果理解后寻求有充分的理由，但因果疾病模式不会排除高度的合并症 - 既不是精神病学，也不是一般的医学。通过这些潜在的假设来说，我们希望清除对合并症的不同理解，以及精神疾病的模型。

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