We repeated the analysis without propensity score matching and instead used standard multivariate regression methods.
c The multivariate relative risk model using standard Poisson regression analysis adjusted for age, amount of alcohol drinking, body mass index, employment and fasting blood sugar as appropriate.
cThe multivariate relative risk model using standard Poisson regression analysis adjusted for age, dietary preference, amount of alcohol drinking, body mass index, employment and fasting blood sugar as appropriate.
dThe multivariate relative risk model using standard Poisson regression analysis adjusted for age, dietary preference, LPA, smoking status, amount of alcohol drinking, body mass index, employment and fasting blood sugar as appropriate.
c The multivariate relative risk model using standard Poisson regression analysis adjusted for age, leisure-time physical activity, amount of alcohol drinking, body mass index and fasting blood sugar as appropriate.
Multivariate regression analysis using standard least squares was performed.
ROCs and multivariate linear regression models were calculated using standard methods (STATA, version 10.1, StataCorp).
Regional equations were developed using the multivariate regression technique.
Data were expressed as mean ± standard deviation and were analyzed using multivariate regression analysis, as appropriate.
Independent relations were assessed using multivariate regression analysis.
