Table 4.
Non-responders Covariate |
Estimated regression coefficient | Standard Error | p-value |
Intercept | 196.0 | 27.2 | <.001 |
PFOSpost (log) | −0.226 | 3.20 | 0.944 |
Sex | 17.4 | 6.21 | 0.006 |
Age | 0.337 | 0.200 | 0.094 |
Education level | −0.278 | 0.958 | 0.772 |
Race | −1.39 | 4.63 | 0.764 |
BMIpost | −0.326 | 0.359 | 0.366 |
Smoking history | −4.83 | 3.43 | 0.160 |
Years living in current county | 0.278 | 0.147 | 0.061 |
Responders Covariate |
Estimated regression coefficient | Standard Error | p-value |
Intercept | 151 | 32.8 | <.001 |
PFOSpost (log) | 9.57 | 3.02 | 0.002 |
Sex | 14.2 | 6.14 | 0.022 |
Age | 0.163 | 0.223 | 0.467 |
Education level | 0.243 | 0.995 | 0.807 |
Race | −5.38 | 5.94 | 0.367 |
BMIpost | 0.009 | 0.405 | 0.983 |
Smoking history | −1.38 | 3.07 | 0.653 |
Years living in current county | 0.009 | 0.157 | 0.954 |
Responders lost >6 mg/dL total cholesterol (median loss). (n=171 non responders, n=162 responders).
BMI: Body mass index. PFOS= Perfluorooctanesulfonic acid
The estimates above define a formula for the prediction of total cholesterol in subject’s post intervention.
For variable “sex”, 0=male. 1=female; For variable “Race”, 1=African American. 2=Caucasian. 3=Asian. 4=Hispanic/Latino. 5=American Indian/Alaskan Native. 6= Native Hawaiian/other Pacific. For variable “Smoking history”, 1=current smoker. 2=Stopped within 1 year. 3=stopped more than 1 year ago. 4=never smoked.