Table 4.
Occupational categories |
|||||
---|---|---|---|---|---|
Mgt/Prof | Sales/Office | Services | Blue-collar | P-value | |
Women | (n=288) | (n=185) | (n=139) | (n=55) | |
Model 1 | 5.77 ± 0.21 | 5.75 ± 0.27 | 4.90 ± 0.24 | 4.23 ± 0.36 | <0.001 |
Model 2 | 5.76 ± 0.20 | 5.92 ± 0.26 | 4.91 ± 0.24 | 4.39 ± 0.32 | <0.001 |
Model 3 | 5.71 ± 0.22 | 5.82 ± 0.26 | 5.17 ± 0.26 | 4.28 ± 0.35 | 0.002 |
Model 4 | 5.73 ± 0.34 | 5.83 ± 0.40 | 5.21 ± 0.40 | 4.27 ± 0.44 | 0.002 |
Men | (n=434) | (n=109) | (n=110) | (n=179) | |
Model 1 | 4.31 ± 0.12 | 4.41 ± 0.24 | 4.40 ± 0.27 | 3.88 ± 0.19 | 0.176 |
Model 2 | 4.40 ± 0.12 | 4.41 ± 0.23 | 4.37 ± 0.26 | 3.83 ± 0.18 | 0.042 |
Model 3 | 4.32 ± 0.13 | 4.43 ± 0.23 | 4.53 ± 0.28 | 3.87 ± 0.20 | 0.092 |
Model 4 | 4.32 ± 0.28 | 4.41 ± 0.33 | 4.48 ± 0.40 | 3.83 ± 0.33 | 0.087 |
Results are mean ± SE.
P-values were obtained from ANOVA/ANCOVA models.
Model 1: Unadjusted.
Model 2: Adjusted for age.
Model 3: Adjusted for age, race/ethnicity, educational level, waist circumference, HDL cholesterol, and total cholesterol.
Model 4: Adjusted for age, race/ethnicity, educational level, waist circumference, HDL cholesterol, total cholesterol, diastolic blood pressure, systolic blood pressure, physical activity, smoking status, and pack-years of smoking.
Interaction by gender (p=0.031) in the association between FMD % and occupational categories.
MODEL 4 (women):
Management/Professional vs. Sales/Office: P=0.993
Management/Professional vs. Services: P=0.513
Management/Professional vs. Blue-collar: P=0.008
Services vs. Sales/Office: P=0.320
Services vs. Blue-collar: P=0.100
Sales/Office vs. Blue-collar: P=0.001
MODEL 4 (men):
Management/Professional vs. Sales/Office: P=0.989
Management/Professional vs. Services: P=0.969
Management/Professional vs. Blue-collar: P=0.257
Services vs. Sales/Office: P=0.997
Services vs. Blue-collar: P=0.165
Sales/Office vs. Blue-collar: P=0.209