Research Article

Community-Based Diabetes Screening and Risk Assessment in Rural West Virginia

Table 3

Logistic regression: predicting high risk for prediabetes .

UnadjustedAdjusted
OR95% CIOR95% CI

Sex
 MaleReference
 Female1.01, 2.60.89, 17.09
Education
 ≤High school grad0.920.60, 1.390.730.24, 2.19
 College grad
 or some college
Reference
Physical activity
 Low1.230.77, 1.950.960.28, 3.23
 Moderate0.920.56, 1.480.970.28, 3.29
 HighReference
Siblings with diabetes
 YesReference
 No0.30, 0.780.760.22, 2.65
Parents with diabetes
 YesReference
 No0.46, 1.040.890.30, 2.60
Baby weigh more than 9 pounds at birth
 YesReference
 No1.100.59, 2.072.6, 56.9
Family history of hypertension
 YesReference
 No0.850.55, 1.291.18, 14.16
Medical history of hypertension
 YesReference
 No0.320.21, 0.500.580.20, 1.72
Read food labels
 YesReference
 No0.36, 0.790.900.33, 2.45
Smoke
 YesReference
 No2.07, 6.420.720.21, 2.39
A1c1.6, 5.21.140.60, 3.34
Age1.08, 1.121.09, 1.20
BMI1.02, 1.081.12, 1.36

Individuals with diagnosed diabetes cases by a healthcare professionals were deleted from the analysis.
values: <0.10, <0.05, and <0.01.
Physical activity: low, exercise less than once a week of at least 30 minutes; moderate, exercise 1-2 times per week of at least 30 minutes; high, exercise 3-4 or more times per week of at least 30 minutes.
Adjusted ORs reflect the association between high risk prediabetes status and each variable, adjusting for all the other variables in the model.