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Linkage results in enhanced ascertainment and the construction of a statistical Aboriginal variable.
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The proportion of Aboriginals variable had a theoretical range from 0-1.
The fully adjusted model included the following variables: Aboriginal status, age at diagnosis, year of diagnosis, spread of disease, comorbidities, socioeconomic disadvantage and place of residence.
In terms of clinical variables, Aboriginal patients were more likely to DAMA if they had fewer comorbidities (borderline significance, with the odds of DAMA decreasing by 17% for each unit increase in Charlson score) but no association was seen in non-Aboriginal patients.
We tested for interactions between Aboriginal status and other variables.
Percent of population with Aboriginal identity (Census) The variables for population density, French only language ability and aboriginal identity were skewed and kurtotic.
A new statistical variable, ASV, or Aboriginal Statistical Variable, was constructed based on Indigenous identification in both datasets.
No interaction between Aboriginal status and any other variable had a P < 0.05.
We tested for interaction by fitting interaction terms between the main variable of interest (Aboriginal or Torres Strait Islander status) and all factors that were found to be statistically significantly associated with food insecurity.
An improved statistical variable of Aboriginality is needed to more accurately reflect the Aboriginal population in NSW.
The independent variable of interest was Aboriginal and Torres Strait Islander status with non-Aboriginal and Torres Strait Islanders as the referent group.
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CEO of Professional Science Editing for Scientists @ prosciediting.com