Table 2.
The results of the multinomial logistic regression analyses (N=966).
| Variables | Cluster 2 (ref. Cluster1) | Cluster 3 (ref. Cluster1) | |
|---|---|---|---|
| Adjusted OR(95% CI) | Adjusted OR(95% CI) | ||
| Ethnicity | |||
| Hispanic | White | 1.72** (1.14-2.62) | 1.48(0.89-2.47) |
| N-H Asian american | White | 1.79* (1.03-3.11) | 0.81(0.38-1.72) |
| N-H African american | White | 0.61* (0.40-0.93) | 0.51** (0.30-0.88) |
| Menopause status | |||
| Pre-menopausal | Post-menopausal | 2.30** (1.53-3.47) | |
| Peri-menopausal | Post-menopausal | 1.41 (0.99-2.03) | |
| Family income | |||
| Very hard to pay basics | Not hard | 2.05** (1.26-3.32) | 1.91* (1.03-3.51) |
| Somewhat hard to pay basics | Not hard | 1.30 (0.93-1.83) | 1.40 (0.90-2.19) |
| Disease | |||
| No | Yes | 1.59** (1.16-2.19) | 1.58* (1.05-2.38) |
| Access to health care | |||
| No | Yes | 1.78* (1.05-3.11) | |
Twelve independent variables (age, education, marriage status, employment, family income, number of children, birth place, acculturation, disease diagnosed, have a health adviser, self reported health, and BMI) were adjusted and only significant variables were presented in this table.
Age and acculturation were treated as continuous variables.
p<.05,
p<.01