Using children's naïve theory of biology as a framework, this study investigated children's developing understanding of illness by examining their generalisation of illness to biological and non-biological categories. In addition to differences associated with age, the children's health status was investigated for any possible links with their understanding. Healthy and chronically-ill children, aged 4-11 years, were randomly assigned to one of three conditions, according to which exemplar (child, dog or duck) was described as suffering from an imaginary illness. Using a card-sorting technique, the children assessed whether each entity out of 30 entities (five representatives in each of six categories: humans, mammals, non-mammals, birds, plants and artifacts) could be afflicted by that illness. The children's generalisations indicated a grasp of the distinctiveness of the various categories, although they seemed less certain about the biological status of plants. Furthermore, the type of exemplar on which the children had been taught influenced their responses. However, the children's reasoning appeared unaffected by their health status and largely unaffected by age or gender.
Using children's naïve theory of biology as a framework, this study examined children's illness conceptions. Children (aged 4-11), presented with one of four exemplars (child, dog, duck or rosebush) suffering an imaginary illness, were asked whether various entities from six categories, biological and non-biological, could also be afflicted. The children's illness generalizations differentiated between all of the categories; they not only distinguished between living and non-living things, but also recognized biological subkinds. Furthermore, the children's generalizations were significantly greater to the category of exemplar, indicating that human prototypicality is not the sole basis for children's generalizations. It is concluded that children's understanding of illness is mediated by a naïve biological theory that facilitates their systematic predictions of susceptibility to illness.
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