Mental illness and creativity

Myths and plain truths about schizophrenia epidemiology--the NAPE lecture 2004

OBJECTIVE

Science needs to constantly match research models against the data. With respect to the epidemiology of schizophrenia, the widely held belief that the incidence of schizophrenia shows little variation may no longer be supported by the data. The aims of this paper are (i) to explore data-vs.-belief mismatch with respect to the incidence of schizophrenia, and (ii) to speculate on the causes and consequences of such discrepancies.

METHOD

Based on a recently published systematic review of the incidence of schizophrenia, the distribution of incidence rates around the world was examined. In order to examine if the incidence of schizophrenia differed by sex, male vs. female risk ratios were generated.

RESULTS

The distribution of incidence rates for schizophrenia is asymmetrical with many high rates skewing the distribution. Based on the central 80% of rates, the incidence of schizophrenia varies in a five-fold range (between 7.7 and 43.0 per 100,000). Males have a significantly higher incidence of schizophrenia compared with females (median male to female risk ratio = 1.4), and this difference could not be accounted for by diagnostic criteria or age range.

CONCLUSION

The beliefs that (i) the incidence of schizophrenia does not vary between sites and (ii) males and females are equally affected, may have persisted because of an unspoken deeper belief that schizophrenia is an egalitarian and exceptional disorder. Our ability to generate productive hypotheses about the aetiology of schizophrenia rests on an accurate appraisal of the data. Beliefs not supported by data should be identified and relabelled as myths.

Arguments for the genetic basis of the bipolar spectrum

Family members of bipolar probands have been repeatedly shown to have an increased risk for mood disorders. However, a range of different syndromes in the bipolar spectrum are commonly observed in these relatives. This suggests the hypothesis that these different syndromes may be genetically related. It further suggests that bipolar disorder may be better conceptualized from a genetic standpoint as a quantitative trait. In such a model, the same genes may predispose to a variety of phenotypes ranging from schizoaffective disorder to cyclothymic temperament. Previous attempts to test such a multifactorial model have provided some limited support. However, other studies argue that some forms of bipolar disorder such as bipolar II may be genetically distinct. In this review, various quantitative and categorical models of illness are considered and the data supporting them reviewed. It is proposed that the existing data may best fit a model in which different sets of genes predispose to overlapping phenotypes that are in part both quantitative and distinct in nature.