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In a multivariable model, only dBP remained a significant predictor.
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 each multivariable model, only one genotype or haplotype of each gene was selected for analysis.
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.
When these were included in the multivariable model, only lower total cholesterol was significantly associated statin use.
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In multivariable models only the genetic variants, creatinine, and zidovudine exposure remained significant.
Thus, in multivariable models only walking ability and EDS remained significantly associated with pain.
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).
In multivariable models, only disability was associated with measured frailty (adjusted OR [aOR] = 1.47, 95% CI: 1.04-2.08, P = 0.03 for each additional ADL difficulty).
Other potential covariates (such as retinol, vitamin C, SFAs, MUFAs, PUFAs, alcohol, and protein intakes) in the multivariable models only marginally changed the relations and were therefore not included in the models.
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