Table 4.

Temperature pattern (T_MP) determined cardiovascular disease incidence in different country groupings.

Country groupings	Pearson r	p	Nonparametric	p
Worldwide (n = 192)	−0.646∗∗	<0.001	−0.574∗∗	<0.001
World Bank income classifications
High Income, n = 62	−0.724∗∗	<0.001	−0.681∗∗	<0.001
Low Income, n = 28	−0.395∗∗	<0.050	−0.361∗	0.059
Low Middle Income, n = 48	−0.419∗∗	0.050	−0.343∗	<0.050
Upper Middle Income, n = 54	−0.652∗∗	<0.001	−0.401∗∗	<0.010
Low- and middle-income countries (LMIC), n = 130	−0.542∗∗	<0.001	−0.440∗∗	<0.001
Fisher r-to-z transformation	High vs LMIC: z = 1.96, p < 0.050		High vs LMIC: z = 2.28, p < 0.050
United Nations common practice
Developed, n = 48	−0.385∗∗	0.010	−0.209	0.154
Developing, n = 144	−0.296∗∗	<0.001	−0.246∗∗	<0.010
Countries grouped with various factors
English as Official Language, n = 51	−0.561∗∗	<0.001	−0.131	0.358
Asia-Pacific Economic Cooperation, n = 19	−0.658∗∗	<0.010	−0.535∗	<0.050
Organisation for Economic Co-operation and Development, n = 37	−0.519∗∗	<0.001	−0.328∗	<0.050
Arab World, n = 21	−0.256	0.262	−0.512∗	<0.050
Asia Cooperation Dialogue, n = 33	−0.146	0.416	−0.029	0.871
Southern African Development Community, n = 16	0.021	<0.050	−0.041	0.880
Latin America, n = 31	−0.144	0.440	−0.088	0.638
Latin America and Caribbean, n = 34	−0.295	0.090	0.172	0.331

All the data were log-transformed for correlation analysis.

Data source & definition: Climatically temperature pattern (T_MP), °C, average yearly temperature for 30 years, 1988–2017, the World Bank Group CCKP; Cardiovascular disease (CVD) incidence rate (per 100,000) 2017, the Institute for Health Metrics and Evaluation.