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Therefore, the selection of predictors in the model is based on multivariable modelling only with a backward selection procedure and liberal p value (0.157 in this study).
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In a multivariable model, only older age was associated with increased NHP use (OR 1.5 per age decile [95%CI 1.03 to 2.2]).
In a multivariable model, only dBP remained a significant predictor.
In each multivariable model, only one genotype or haplotype of each gene was selected for analysis.
Thus, in multivariable models only walking ability and EDS remained significantly associated with pain.
However, in the multivariable model, only the GDP maintained significant statistical association with the volume of health research publications.
In the multivariable model, only triglycerides maintained the significant relationship with RHR, but TC and glucose did not.
In the multivariable model, only age remains a statistically significant predictor showing a positive association with the t(14 18) prevalence.
When these were included in the multivariable model, only lower total cholesterol was significantly associated statin use.
After adjustment in a multivariable model, only baseline diastolic blood pressure remained a significant predictor of risk.
Few changes were observed in regression coefficients for patient level characteristics when adding provider characteristics to the model; results are therefore presented for the full multivariable model only.
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