Table 3.
Multiple linear regression relationships between nutrition literacy scores and dietary pattern adherence among adults (n 386) with at least one of four diet-related diseases, metropolitan Kansas City, USA, January 2015–July 2016
| Model 1† | Model 2‡ | Model 3§ | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dependent variable | Estimate | 95 % CI | β | R 2 | P | Estimate | 95 % CI | β | R 2 | P | Estimate | 95 % CI | β | R 2 | P |
| PCovR prudent pattern | 0·06 | 0·05, 0·07 | 0·48 | 0·23 | <0·001 | 0·04 | 0·03, 0·06 | 0·34 | 0·30 | <0·001 | 0·05 | 0·04, 0·06 | 0·40 | 0·26 | <0·001 |
| PCA Western pattern | −0·02 | −0·03, −0·01 | −0·13 | 0·02 | 0·003 | −0·02 | −0·02, 0·0 | −0·11 | 0·10 | 0·10 | −0·02 | −0·03, −0·01 | −0·15 | 0·10 | <0·006 |
| PCA Mediterranean pattern | 0·02 | 0·00, 0·03 | 0·12 | 0·02 | 0·02 | 0·01 | −0·10, 0·03 | 0·08 | 0·01 | 0·20 | 0·02 | 0·00, 0·03 | 0·12 | 0·02 | 0·04 |
PCovR, principal covariates regression; PCA, principal components analysis; gNLit, global nutrition literacy.
Continuous covariates: age, BMI, household income and education level.
Categorical covariates: sex, race and diabetes status.
Model 1: Simple linear regression of diet pattern adherence predicted by gNLit scores.
Model 2: Multiple linear regression of diet pattern adherence predicted by gNLit scores and all covariates of interest (age, sex, BMI, race, household income, education level and diabetes status).
Model 3: Multiple linear regression of diet pattern adherence predicted by gNLit scores and all covariates of interest, excluding education level.