Table 2

- Logistic regression analysis.

VariablesOdds ratio95% CIP-values
Intercept1.861.21-2.85<0.05
BMI
Obese1.331.21-1.46<0.05
Overweight1.060.97-1.160.23
Underweight1.160.90-1.490.25
Gender0.570.53-0.61<0.05
Marital status0.860.80-0.93<0.05
Physical activity0.770.72-0.83<0.05
Smoking status1.51.37-1.65<0.05
Diabetes status1.221.13-1.31<0.05
Hypertension status0.960.88-1.040.3
Cholesterol status1.41.30-1.51<0.05
Alcohol status0.970.90-1.050.43
Age (years)
25-291.020.59-1.780.94
30-340.740.45-1.240.25
35-390.940.59-1.510.81
40-440.780.50-1.220.28
45-490.840.55-1.300.44
50-540.580.38-0.89<0.05
55-590.580.38-0.88<0.05
60-640.510.34-0.76<0.05
65-690.360.24-0.54<0.05
70-740.320.21-0.47<0.05
75-790.270.18-0.41<0.05
80 or older0.160.11-0.24<0.05
Education level
Graduated high school0.90.80-1.020.11
Attended college or technical school1.060.94-1.200.35
Graduated from college or technical school1.130.99-1.290.08
Income category
$15,000 to <$25,0000.730.64-0.84<0.05
$25,000 to <$35,0000.650.57-0.75<0.05
$35,000 to <$50,0000.60.53-0.68<0.05
$50,000 to <$100,0000.570.49-0.66<0.05
$100,000 to <$200,0000.460.38-0.55<0.05
$200,000 or more0.40.30-0.54<0.05

CI: confidence interval, BMI: body mass index, $: US dollar