Table 2. Regression model with BMI Included as confounder.

Variable Included in Model	Estimate	CI 2.5%	CI 97.5%	P-value	Adjusted P-value
Covariates
Average Temperature 1961–1990 (Celsius)	-0.11	-0.81	0.60	0.77	1
GDP per Capita in 2016 USD	-8.02 X 10−4	-0.0012	-0.0005	1.18 X 10−5	1.88 X 10−4
Annual Estimated Average PM 2.5 in 2014	-0.30	-0.604	0.008	0.06	0.90
Prevalence Male BMI > = 25 (age-standardized) in 2014	-0.33	-0.71	0.042	0.08	1
Prevalence Female BMI > = 25 (age-standardized) in 2014	-0.47	-0.92	-0.02	0.04	0.65
Interaction Terms (term 1 : term 2)
Prevalence Male BMI > = 25 (age-standardized) in 2014: Prevalence Female BMI > = 25 (age-standardized) in 2014	6.51 X 10−3	2.26 X 10−3	0.01	0.003	0.046
Temperature in C: GDP per Capita in 2016 USD	9.91 X 10−6	-3.98 X 10−7	2.02 X 10−5	0.06	0.95
Temperature in C: Annual Estimated PM 2.5 in 2014	3.30 X 10−3	-9.00 X 10−3	0.016	0.60	1
Temperature in C: Prevalence Male BMI > = 25 (age-standardized) in 2014	-0.015	-0.032	0.001	0.07	1
Temperature in C: Prevalence Female BMI > = 25 (age-standardized) in 2014	0.015	-0.004	0.034	0.13	1
GDP per Capita in 2016 USD : Prevalence Female BMI > = 25 (age-standardized) in 2014	-1.57 X 10−5	-2.47 X 10−5	-6.64 X 10−6	7.84 X 10−4	0.013
Annual Estimated PM 2.5 in 2014: Prevalence Female BMI > = 25 (age-standardized) in 2014	0.019	0.009	0.029	2.89 X 10−4	0.005
GDP per Capita in 2016 USD: Prevalence Male BMI > = 25 (age-standardized) in 2014	2.29 X 10−5	1.41 X 10−5	3.17 X 10−5	8.68 X 10−7	1.39 X 10−5
Annual Estimated PM 2.5 in 2014: Prevalence Male BMI > = 25 (age-standardized) in 2014	-0.016	-0.026	-0.006	0.002	0.038
GDP per Capita in 2016 USD: Annual Estimated PM 2.5 in 2014	-1.75 X 10−6	-6.31 X 10−6	2.80 X 10−6	0.45	1

P-values are bold if they are significant (<0.05), and rows containing significant terms are shown in grey