Table 5.
The relative risk (RR) of heat and cold effects on AMI hospital admissions in hot and cold weather period by insurance type and premium.
| Heat Effect a | Cold Effect b | |||
|---|---|---|---|---|
| Lag c | RR (95% CI) | Lag c | RR (95% CI) | |
| Insurance type | ||||
| NHI | 0 | 1.03 (0.96–1.11) | 2–3 | 1.03 (1.00–1.05) |
| Medicaid | 0 | 1.37 (1.07–1.76) * | 2–3 | 1.11 (1.04–1.20) * |
| Insurance premium | ||||
| Low | 0 | 1.14 (1.02–1.29) * | 2–3 | 1.03 (1.00–1.07) |
| Medium | 0 | 1.08 (0.95–1.22) | 2–3 | 1.03 (0.99–1.07) |
| High | 1 | 1.02 (0.94–1.09) | 1 | 1.04 (1.00–1.09) |
CI: Confidence interval; Models adjusted for calendar year, day of the week, precipitation, humidity, sea-level pressure, and air pollutants (PM10, O3, NO2) as spline functions and considering the annual population size as the offset variable; a Temperature increase of 1 °C above the threshold mean temperature (28.5 °C) in hot weather (June–August). Considering duration of heat wave in model; b Temperature decrease of 1 °C below the threshold minimum temperature (−13.5 °C) in cold weather (December–February). Considering duration of cold wave in model; c Lags of 0, 1, 2–3, 4–7, 8–14, 15–21, 22–28; * p < 0.05.