Table 3.
Unadjusted and Adjusted Odds Ratios for Pacific Islanders Relative to Whites
| Outcome | Unadjusted OR (95% CI) | Adjusted ORa (95% CI) | Adjusted ORb (95% CI) | Adjusted ORc (95% CI) | Adjusted ORd (95% CI) |
|---|---|---|---|---|---|
| Current smoking | 1.04 (0.98, 1.12) | 1.14 (0.84, 1.53) | 0.98 (0.72, 1.34) | ||
| Overweight (BMI >25 kg/m2) | 0.84 (0.68, 1.03) | 0.91 (0.73, 1.13) | 0.90 (0.72, 1.12) | ||
| Heavy alcohol intake | 1.07 (0.54, 2.13) | 0.80 (0.40, 1.60) | 0.78 (0.38, 1.61) | ||
| Adequate physical activity | 1.06 (0.82, 1.38) | 0.84 (0.64, 1.12) | 0.88 (0.67, 1.15) | ||
| Adequate fruit/vegetable intake | 1.06 (0.82, 1.37) | 1.02 (0.78, 1.35) | 0.99 (0.75, 1.29) | ||
| Regular PCP | 0.55 (0.43, 0.69) | 0.80 (0.62, 1.04) | 0.89 (0.68, 1.17) | ||
| Avoided seeing doctor due to cost | 1.29 (1.01, 1.64) | 1.17 (0.91, 1.50) | 0.93 (0.71, 1.23) | ||
| No health insurance (all ages) | 1.78 (1.38, 2.28) | 1.56 (1.21, 2.02) | 1.24 (0.91, 1.69) | ||
| Hypertension | 0.68 (0.52, 0.91) | 1.18 (0.86, 1.62) | 1.11 (0.81, 1.48) | 1.12 (0.81, 1.54) | 1.23 (0.88, 1.72) |
| Diabetes | 0.97 (0.73, 1.31) | 1.75 (1.28, 2.39) | 1.56 (1.13, 2.14) | 1.56 (1.14, 2.14) | 1.76 (1.26, 2.48) |
| Coronary heart disease | 0.47 (0.26, 0.85) | 0.98 (0.51, 1.88) | 0.90 (0.46, 1.74) | 0.91 (0.47, 1.75) | 0.94 (0.48, 1.84) |
| Hypercholesterolemia | 0.69 (0.47, 1.00) | 0.99 (0.64, 1.51) | 0.97 (0.63, 1.49) | 0.98 (0.64, 1.50) | 1.05 (0.68, 1.63) |
| Asthma | 0.99 (0.74, 1.33) | 0.98 (0.72, 1.33) | 0.93 (0.68, 1.26) | 0.93 (0.68, 1.26) | 0.94 (0.69, 1.29) |
| Arthritis | 0.38 (0.29, 0.50) | 0.64 (0.48, 0.86) | 0.61 (0.46, 0.82) | 0.61 (0.46, 0.82) | 0.63 (0.47, 0.84) |
| Fair or poor health | 0.91 (0.68, 1.21) | 1.42 (1.06, 1.92) | 1.19 (0.87, 1.64) | 1.18 (0.85, 1.64) | 1.27 (0.92, 1.76) |
aUsing logistic regression to adjust for age, sex, and place of residence
bUsing logistic regression to adjust for age, sex, place of residence, income, and education (main model)
cUsing logistic regression to adjust for age, sex, place of residence, income, education, and smoking
dUsing logistic regression to adjust for age, sex, place of residence, income, education, and BMI
All estimates were weighted to account for the complex survey design. Statistically significant differences (P < 0.05) are denoted in bold
OR = odds ratio; CI = confidence interval; BMI = body mass index; PCP = primary care physician