Table 4.
Association Between Race and Delaying Medical Care in the Past 12 Months Among Non-Hispanic White and Asian Adults Age 18–64 in California, 2014–2016
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) | 18.32 | – | 1.00 | – | 1.00 | – | 1.00 | – | 1.00 | – | 1.00 | – |
Asian Americans (aggregate) | 9.31 | < 0.01 | 0.46 | < 0.01 | 0.46 | < 0.01 | 0.44 | < 0.01 | 0.40 | < 0.01 | 0.48 | < 0.01 |
Chinese | 7.88 | < 0.01 | 0.38 | < 0.01 | 0.38 | < 0.01 | 0.36 | < 0.01 | 0.33 | < 0.01 | 0.42 | < 0.01 |
Korean | 17.39 | 0.86 | 0.94 | 0.86 | 0.97 | 0.93 | 0.91 | 0.79 | 0.86 | 0.68 | 1.05 | 0.90 |
Filipino | 8.83 | < 0.01 | 0.43 | < 0.01 | 0.43 | < 0.01 | 0.41 | < 0.01 | 0.38 | < 0.01 | 0.43 | 0.01 |
Vietnamese | 6.72 | < 0.01 | 0.32 | < 0.01 | 0.32 | < 0.01 | 0.30 | < 0.01 | 0.25 | < 0.01 | 0.34 | < 0.01 |
Japanese | 9.92 | 0.09 | 0.49 | 0.11 | 0.47 | 0.10 | 0.47 | 0.10 | 0.44 | 0.07 | 0.44 | 0.08 |
*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