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Among those with a BMI, we measured risk factor documentation and control overall, and stratified by the three BMI categories.
The coefficients (the log of the normalized odds ratios, LNOR) provide a measure of the influence of the measured risk factor for that individual.
In a large primary care network BMI documentation has been incomplete and for patients with BMI measured, risk factor control has been poorer in obese patients compared with NW, even in those with obesity and CVD or diabetes.
In studies including patients with known diabetes [ 16, 19, 23], the measured risk factor levels are supposedly closer to an average steady state level, a kind of set point which is typical for the patient in question.
The additional population attributable fraction for comorbidity (19.8%; 95% CI: 18.4%–21.2%) was considerably larger than that for any other measured risk factor, including aspirin or nonsteroidal anti-inflammatory drug use (3.0% and 3.1%, respectively).
The uniformity in the measured risk factor distribution indicates that the distribution of unmeasured variables is balanced, although propensity scores cannot remove hidden biases except to the extent that the unmeasured prognostic variables are correlated with the measured covariates used to compute the score.
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One possible explanation for these findings relates to discrimination: there is good evidence that, independent of measured risk factors, Indigenous people have been subjected to systematic bias by the police and courts in Australia (Weatherburn et al. 2003).
In order to estimate the baseline CVD risk according to the measured risk factors at baseline, we calculated for each study person their 10-year probability to have an CVD-event according to the Framingham risk equation [21].
Other measured risk factors were non-significant.
Table 5 shows the association of visual impairment and blindness with measured risk factors.
The higher prevalence of diabetes in South Asians is not explained by traditionally measured risk factors.
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