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Table 1 Description of the outcome and explanatory variables from NHANES and BRFSS and the corresponding odds ratios (OR) and 95% confidence intervals (95% CI).

From: Diabetes prevalence and diagnosis in US states: analysis of health surveys

Variable Reason for inclusion in analysis Possible values OR (95% CI)
Outcome (dependent) variables for the regression
Undiagnosed diabetes (available in NHANES; predicted in BRFSS) Outcome variable to estimate undiagnosed diabetes 0 (FPG < 126 mg/dL)
1 (FPG ≥ 126 mg/dL)
- -
Explanatory (independent) variables
Sex Predictor of diabetes, possibly because of differences in lifestyle and health care determinants Male 1.0 -
   Female 0.47 0.29, 0.77
Age (years) Predictor of diabetes 30-39 1.0 -
   40-49 1.07 0.41, 2.81
   50-59 3.25 1.41, 7.50
   60-69 7.49 3.55, 15.82
   ≥ 70 7.02 3.23, 15.26
Race * Predictor of diabetes and health care access Non-Hispanic white 1.0 -
   Non-Hispanic black 1.11 0.63, 1.96
   Hispanic 2.03 1.07, 3.83
   Other 0.26 0.03, 1.91
Doctor visit (have you seen a doctor in the past year?) † Indicator for diabetes knowledge and control No 0.49 0.23, 1.05
   Yes 1.0 -
Insurance status (do you currently have health insurance?) Indicator for diabetes knowledge and control No 1.58 0.83, 3.02
   Yes 1.0  
   Missing 0.76 0.07, 8.42
BMI (kg/m2) ‡ Determinant of diabetes and indicator for selected lifestyle factors such as diet and physical activity < 25 1.0 -
   25-29 1.85 0.93, 3.67
   ≥ 30 4.29 2.25, 8.17
Smoking (do you now smoke cigarettes?) Indicator for lifestyle factors Yes ("everyday" or "some days") 1.0 -
   No ("not at all") 1.27 0.65, 2.49
   Missing 0.86 0.51, 1.45
  1. * We combined Mexican Americans and other Hispanics in NHANES to match the race categories in BRFSS.
  2. † This variable was defined as a composite of multiple questions about physician contact for specific conditions in the BRFSS.
  3. ‡ BMI was corrected for bias in self-reported height and weight in telephone interviews, using methods described elsewhere [2].