Table 3.
Model 1 | Model 2 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Intercept | Slope | Intercept | Slope | ||||||||
Walnut consumption | b | se | b | se | b | se | b | se | |||
Low walnut consumption | 1·53 | *** | 0·21 | 0·01 | 0·03 | 0·73 | *** | 0·17 | –0·02 | 0·02 | |
Moderate walnut consumption | 2·22 | *** | 0·27 | –0·03 | 0·04 | 0·89 | *** | 0·23 | –0·03 | 0·03 | |
Test effects | |||||||||||
# tests 2012 | 0·37 | *** | 0·04 | 0·14 | *** | 0·04 | |||||
# tests 2014 | 0·35 | *** | 0·04 | 0·11 | ** | 0·04 | |||||
# tests 2016 | 0·30 | *** | 0·04 | 0·05 | 0·04 | ||||||
Estimated mean intercept | 17·84 | *** | 0·42 | –0·28 | *** | 0·02 | 22·99 | *** | 5·87 | 0·22 | 0·20 |
Intercept – slope correlation | 0·14 | ** | 0·05 | 0·15 | *** | 0·04 |
Unconditional mean intercept b = 21·98, se = 0·09, P < 0·001; unconditional mean slope b = –0·26, se = 0·01, P = 0·01; unconditional correlation between intercept and slope r = 0·14, se = 0·06, P = 0·016.
Model 2 adjusted for the following covariates: gender, age, race/ethnicity, marital status, retirement status, education, longest occupational tenure, log-transformed household income, log-transformed household assets, BMI, vigorous physical activity, smoking status, alcohol consumption, number of doctor-diagnosed chronic conditions and number of mobility limitations.
***P < 0·001, **P < 0·01, *P < 0·05, †P < 0·10.