Research Article

Environmental Temperature and Thermal Indices: What Is the Most Effective Predictor of Heat-Related Mortality in Different Geographical Contexts?

Table 4

Summary of predictive model fits and expected % change in deaths due to a 1°C increase in the thermal predictor over the 75th percentile based on each thermal indicator. ; .

Inland plain city: FlorenceCoastal plain city: Livorno
IndicatorsAIC (AIC)% changeIndicatorsAIC (AIC)% change

Ave_urb_ATsun663.30.485.6 (0.5; 10.7)*Min_urb_ATsha587.70.5810.3 (4.0; 16.6)**
Ave_urb_ATsha665.10.194.8 (−1.1; 10.7)Ave_sub_ATind589.70.214.7 (0.2; 9.2)*
Max_urb_UTCI666.20.114.9 (−1.0; 10.8)Min_urb_ATsun591.70.086.8 (1.7; 11.9)**
Min_urb_ATsun667.20.076.1 (1.2; 11.0)*Min_sub_ATind591.70.084.8 (0.7; 8.9)*
Min_sub_ATsun667.90.053.8 (−0.3; 7.9)Max_sub_ATind594.70.024.5 (−0.4; 9.4)
Min_urb_UTCI668.20.049.2 (2.1; 16.3)*Ave_sub_ATsun596.00.013.3 (−0.4; 7)
Ave_urb_ 669.20.033.8 (−3.8; 11.4)Ave_sub_ATsha596.50.014.7 (0.1; 9.4)*
Max_urb_ATind671.00.012.7 (−2.8; 8.2)Min_sub_ATsun597.50.004.1 (0.8; 7.4)*
Max_sub_UTCI671.50.014.3 (−0.6; 9.2)Max_sub_UTCI599.00.006.5 (1.4; 11.6)*
Min_urb_ATind672.70.008.0 (1.9; 14.1)*Min_urb_ATind600.20.009.6 (3.3; 15.9)**
Max_urb_ 673.20.001.3 (−4.8; 7.4)Min_sub_UTCI602.40.004.9 (0.8; 9.0)*
Max_sub_ 673.50.002.3 (−3.2; 7.8)Max_sub_ATsun603.40.002.6 (−1.1; 6.3)
Ave_sub_ 674.00.001.5 (−5.4; 8.4)Ave_urb_ATind604.40.008.5 (1.4; 15.6)*
Max_urb_ATsha674.80.003.2 (−2.1; 8.5)Min_sub_ATsha604.90.004.7 (0.6; 8.8)*
Ave_sub_ATind675.70.004.0 (−1.1; 9.1)Max_sub_ATsha605.60.003.6 (−1.3; 8.5)
Max_sub_ATsha676.10.004.4 (−0.5; 9.3)Min_urb_UTCI606.70.0011.7 (4.1; 19.3)**
Max_urb_ATsun676.40.002.8 (−1.9; 7.5)Ave_sub_ 607.70.008.4 (0.1; 16.8)*
Min_sub_UTCI677.90.003.2 (−1.9; 8.3)Max_urb_ATind609.10.0011.7 (3.9; 19.5)**
Min_sub_ATsha678.40.005.3 (0.4; 10.2)*Ave_sub_UTCI613.80.005.5 (1.0; 10.0)*
Ave_sub_UTCI679.30.003.3 (−2.2; 8.8)Ave_urb_UTCI617.60.0011.3 (2.7; 19.9)**
Min_urb_ 679.80.0010.2 (1.5; 16.7)*Min_urb_ 617.80.009.2 (0.4; 18.0)*
Ave_sub_ATsha680.00.003.0 (−1.9; 7.9)Ave_urb_ATsha620.60.006.4 (−0.5; 13.3)
Ave_sub_ATsun680.40.003.7 (−0.4; 7.8)Min_sub_ 621.30.007.2 (−0.4; 14.8)
Min_urb_ATsha680.90.007.5 (1.6; 13.4)*Ave_urb_ATsun621.80.006.5 (1.0; 12.0)*
Max_sub_ATsun681.80.004.3 (0.2; 8.4)*Max_urb_ATsun622.70.006.2 (0.7; 11.7)*
Max_sub_ATind685.00.004.4 (−0.5; 9.3)Max_sub_ 623.20.002.8 (−4.3; 9.9)
Ave_urb_UTCI691.80.005.6 (−1.1; 12.3)Ave_urb_ 631.40.0010.2 (0.8; 19.6)*
Min_sub_ 702.30.007.1 (0.6; 13.6)*Max_urb_UTCI639.20.009.3 (1.1; 17.5)*
Min_sub_ATind704.80.005.3 (0.2; 10.4)*Max_urb_ 641.50.004.8 (−3.6; 13.2)
Ave_urb_ATind713.80.004.5 (−1.0; 10.0)Max_urb_ATsha642.10.007.2 (0.3; 14.1)*

AIC: Akaike’s Information Criterion; (AIC): Akaike weights; Max: maximum; Min: minimum; Ave: average; urb: urban; sub: suburban; UTCI: Universal Thermal Climate Index; ATsun: apparent temperature assessed outdoors also taking into consideration the solar radiation contribution; ATsha: apparent temperature assessed outdoors in the shade; ATind: apparent temperature assessed in indoor conditions; : environmental temperature.