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. 2020 Aug 16;4(8):e2019GH000241. doi: 10.1029/2019GH000241

Table 3.

Odds Ratios of Average Daily Mean and Extreme Heat Indicator as Predictors for Work‐Related Hyperthermia Emergency Department Visits, Stratified by Demographics

Stratification level Covariate category Model predictors a
Average daily mean temperature (°F) EHE indicator
Odds ratio (95% CI) p value Odds ratio (95% CI) p value
No strata All 1.136 (1.115, 1.158) <0.0001 1.536 (1.384, 1.705) <0.0001
Age (16–34) 1.138 (1.108, 1.169) <0.0001 1.631 (1.396, 1.905) <0.0001
(≥35) 1.135 (1.106, 1.165) <0.0001 1.464 (1.272, 1.686) <0.0001
Gender Female 1.113 (1.061, 1.166) <0.0001 1.981 (1.468, 2.673) <0.0001
Male 1.140 (1.117, 1.164) <0.0001 1.481 (1.324, 1.655) <0.0001
Ethnicity Hispanic 1.136 (1.030, 1.252) 0.0109 1.152 (0.755, 1.757) 0.5127
Non‐Hispanic 1.141 (1.117, 1.166) <0.0001 1.494 (1.322, 1.688) <0.0001
Race Non‐White 1.154 (1.112, 1.197) <0.0001 1.495 (1.228, 1.821) 0.0001
White 1.130 (1.106, 1.155) <0.0001 1.551 (1.372, 1.755) <0.0001
Residency Nonresident 1.143 (1.076, 1.213) <0.0001 1.864 (1.333, 2.607) 0.0003
Resident 1.136 (1.113, 1.158) <0.0001 1.504 (1.348, 1.679) <0.0001

Note. Average daily mean temperature (°F) was modeled as a 1° change. The Average Tmean variable is calculated as an average of temperatures observed on the day of ED visit and three preceding days for the county where the ED visit occurred. EHE indicator is a binary indicator and is set to “1” if the day of the ED visit or three preceding days were part of an extreme heat event.

a

All estimates of odds ratios include both “Average Tmean” and “EHE Indicator” as independent variables in the logistic regression models.