TABLE 3.
Logistic Regression Models for High Cholesterol and High LDL
High Total Cholesterol (≥240 mg/dL) | ||||
---|---|---|---|---|
Women (N= 18,000) |
Men (N= 17,935) |
|||
Variable | OR | [95% CI] | OR | [95% CI] |
PIR (in first wave:1976–80)a | 1.051 | [.992–1.115] | 1.080** | [1.029–1.133] |
Year (10-year increments) | .801*** | [.712–.901] | .912 | [.813–1.023] |
PIR × Year | .938** | [.903–.974] | .937*** | [.906–.968] |
Age | 1.189*** | [1.163–1.217] | 1.201*** | [1.179–1.224] |
Age2 | .999*** | [.999–.999] | .998*** | [.998–.999] |
Race | ||||
Non-Hispanic Black | .774*** | [.673–.891] | .860 | [.728–1.016] |
Mexican-American | .653*** | [.544–.782] | .989 | [.860–1.137] |
Other Race | .817* | [.689–.969] | 1.253* | [1.005–1.562] |
Non-Hispanic White | — | — | — | — |
BMI | 1.027*** | [1.019–1.035] | 1.031*** | [1.021–1.040] |
PIR (in last wave:1999–04) | .904*** | [.855–.955] | .926** | [.875–.979] |
High Fasting LDL (≥160 mg/dL) | ||||
Women (N= 7,972) |
Men (N= 7,492) |
|||
Variable | OR | [95% CI] | OR | [95% CI] |
PIR (in first wave:1976–80)a | 1.022 | [.930–1.124] | 1.108* | [1.012–1.212] |
Year (10-year increments) | .769** | [.651–.907] | .901 | [.751–1.079] |
PIR × Year | .931* | [.879–.986] | .915** | [.866–.968] |
Age | 1.154*** | [1.116–1.193] | 1.190*** | [1.158–1.224] |
Age2 | .999*** | [.999–.999] | .998*** | [.998–.999] |
Race | ||||
Non-Hispanic Black | .915 | [.735–1.138] | .852 | [.680–1.066] |
Mexican-American | .631** | [.467–.853] | 1.007 | [.797–1.272] |
Other Race | .901 | [.667–1.219] | .951 | [.694–1.301] |
Non-Hispanic White | — | — | — | — |
BMI | 1.026*** | [1.013–1.040] | 1.011 | [.994–1.027] |
PIR (in last wave:1999–04) | .864*** | [.797–.936] | .900* | [.827–.980] |
p < .05;
p < .01;
p < .001
PIR = poverty income ratio and OR = change in odds estimated for a one-unit increase in PIR