Table 2.
Impact of race/ethnicity and gender on hypertension trajectories: multilevel logistic regression models (odds ratios; N=9011).
| Model 1 | Model 2 | Model 3 | |
|---|---|---|---|
| Fixed Effects | |||
| Intercept | .519⁎⁎⁎ | .552⁎⁎⁎ | .729⁎⁎⁎ |
| Black | 2.614⁎⁎⁎ | 2.088⁎⁎⁎ | 1.790⁎⁎⁎ |
| Mexican American | 1.185 | .913 | .739⁎ |
| Female | .904 | .806⁎⁎⁎ | .769⁎⁎⁎ |
| Black×Female | 1.486⁎⁎⁎ | 1.372⁎⁎⁎ | |
| Mexican American×Female | 1.608⁎⁎⁎ | 1.467⁎⁎ | |
| Linear Slope (Age) | 1.069⁎⁎⁎ | 1.069⁎⁎⁎ | 1.061⁎⁎⁎ |
| Black | .653 | .996 | .997 |
| Mexican American | 1.011 | 1.013 | 1.009 |
| Female | 1.007 | 1.009 | 1.010⁎ |
| Early Life Social Origins | |||
| Family was Poor | .959 | ||
| Mother had ≥ H.S. Education | .940 | ||
| Father had ≥ H.S. Education | 1.071 | ||
| Adult Socioeconomic Status | |||
| Years of Education | .977⁎⁎⁎ | ||
| Earnings (Ln) | .998 | ||
| Social Security Income (Ln) | 1.012⁎⁎ | ||
| In the Labor Force | .815⁎⁎⁎ | ||
| Net Worth (Ln) | .970⁎⁎⁎ | ||
| Uninsured | .949 | ||
| Unmarried | 1.027 | ||
| Health-Related Behaviors | |||
| Obese (BMI ≥ 30) | 2.199⁎⁎⁎ | ||
| Ever Smoked | 1.074⁎ | ||
| Currently Smokes | .754⁎⁎⁎ | ||
| Heavy Drinker (3+ Drinks/Day) | 1.387⁎⁎⁎ | ||
| Controls | |||
| Foreign-Born | .832⁎⁎ | .830⁎⁎ | .804⁎⁎⁎ |
| Been to a Doctor | .502⁎⁎⁎ | .503⁎⁎⁎ | .50⁎⁎⁎ |
| Been to the Hospital | .733⁎⁎⁎ | .731⁎⁎⁎ | .820⁎⁎⁎ |
| Measurement Occasions | .948⁎⁎⁎ | .946⁎⁎⁎ | .946⁎⁎⁎ |
| Died during Observation | 1.331⁎⁎⁎ | 1.326⁎⁎⁎ | 1.237⁎⁎⁎ |
| Random Effects | |||
| Level 2 Intercept | 1.587⁎⁎⁎ | 1.589⁎⁎⁎ | 1.592⁎⁎⁎ |
| Level 2 Age | 1.443⁎⁎⁎ | 1.443⁎⁎⁎ | 1.445⁎⁎⁎ |
⁎
p<.05.
⁎⁎
p<.01.
⁎⁎⁎
p<.001.