19 At patient level, the model adjusted for age, gender, transfers in from another hospital, year of admission, comorbidity score, day of the week and diagnosis/procedure risk category.
It covered general characteristics such as age category, gender, transfers between institutions, place of death, presence of a diagnosis of cancer or recognized mental disorders that were part of the patient's situation.
To assess predictors of LOS, we assessed age, gender, transfer status, length of stay, elective or urgent category, Charlson score, number of interventions, and number of diagnoses for significance in univariate analysis.
Age, gender, transfer status, length of stay, elective or urgent category, Charlson score, number of interventions, discharge destination and number of diagnoses were first examined in univariate analysis to select candidate predictors.
The finding of cross-gender transfer of adaptation is consistent with a number of previous reports that showed either complete cross-gender transfer for expression [14] and shape aftereffects [21], or partial cross-gender transfer of ethnicity aftereffects [22].
Studies of gender-contingent aftereffects and cross-gender transfer of adaptation have yielded a variety of opinions.
The first is that there was an aftereffect resembling that in the same-gender condition, consistent with cross-gender transfer of adaptation.
Others have suggested that male and female faces likely occupy the same face space, largely on the basis that cross-gender transfer of adaptation does occur, but with both gender-selective dimensions and dimensions common to both genders [21].
We used recognition contrast thresholds to determine first, if aftereffects show cross-gender transfer, and second, if these aftereffects differ when the test stimulus has a different gender than the adapting stimulus.
If the dimensions in face space that generate attractiveness for male faces differ from those for female faces, this alone can account for minimal cross-gender transfer of adaptation for attractiveness ratings.
Such a strong version of gender-selectivity would have some difficulty accounting for simple gender aftereffects, in which adapting to e.g. a male face causes a gender-neutral face to appear female [12], and would predict both lack of cross-gender transfer of adaptation, as well as minimal if any influence of the properties of different-gender faces in gender-contingent aftereffects.
