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Where studies reported risk ratios with varying degrees of adjustments, we used the maximally adjusted estimate.
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Logistic regression analysis was applied to examine whether hearing impairment was associated with CKD and was fitted with increasing degrees of adjustment: a model adjusted for age (Model 1) and a model adjusted for age, sex, smoking, alcohol, BMI, DM, HTN, dyslipidemia, and microalbuminuria (Model 2).
32 We used two models with progressive degrees of adjustment: model 1 adjusted for sex and race or ethnicity; model 2 further adjusted for education, smoking, alcohol consumption, physical activity, body mass index, hypertension, hypercholesterolaemia, and diabetes.
Figure 1 shows the spline curves for each of the four sequential models from the unadjusted model (solid line) through varying degrees of adjustment to the fully adjusted model (long dash dotted line).
Where studies reported relative risks with differing degrees of adjustment for other risk factors, we used the maximum adjusted estimate.
Pulmonates show varying degrees of adjustment to freshwater and land life, with increasing union of the male and female gonoducts characterizing the more advanced groups.
Various degrees of adjustment to suit the domain would then be required.
We used four models with progressive degrees of adjustment.
Different degrees of adjustment in the multivariable models (ie, larger sex-differences according to the number of confounders) as well as chance (reduced sample size) might both have played a role.
We used three models with progressive degrees of adjustment.
Linear regression models were fitted with increasing degrees of adjustment.
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