Table 3.
Race/ethnic subgroup | Unadjusted rates | Model 1: unadjusted | Model 2*: predisposing | Model 3†: predisposing, enabling | Model 4‡: predisposing, enabling, need | Model 5§: predisposing, enabling, need, acculturation | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
% | p | OR | p | AOR | p | AOR | p | AOR | p | AOR | p | |
Non-Hispanic White (ref) | 88.06 | – | 1.00 | – | 1.00 | – | 1.00 | – | 1.00 | – | 1.00 | – |
Asian Americans (aggregate) | 80.02 | < 0.01 | 0.54 | < 0.01 | 0.55 | < 0.01 | 0.61 | < 0.01 | 0.60 | < 0.01 | 0.76 | 0.11 |
Chinese | 81.84 | 0.01 | 0.61 | 0.02 | 0.66 | 0.05 | 0.72 | 0.14 | 0.70 | 0.12 | 0.91 | 0.73 |
Korean | 63.85 | < 0.01 | 0.24 | < 0.01 | 0.22 | < 0.01 | 0.23 | < 0.01 | 0.23 | < 0.01 | 0.31 | < 0.01 |
Filipino | 85.24 | 0.24 | 0.78 | 0.24 | 0.79 | 0.28 | 0.89 | 0.57 | 0.88 | 0.53 | 1.07 | 0.77 |
Vietnamese | 77.97 | < 0.01 | 0.48 | < 0.01 | 0.47 | 0.02 | 0.58 | 0.09 | 0.54 | 0.06 | 0.65 | 0.22 |
Japanese | 80.87 | 0.12 | 0.57 | 0.12 | 0.47 | 0.05 | 0.48 | 0.04 | 0.46 | 0.04 | 0.50 | 0.06 |
* Predisposing factors were age, gender, highest level of education attained, marital status, and household size
†Enabling factors were household income measured as a percentage of the federal poverty level, employment status, urban/rural designation, and being uninsured
‡Need factor was self-reported health status
§Acculturation factors were being born in the USA, being a US citizen, percent of life spent in the USA, and English proficiency