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. 2025 May 22;26:200437. doi: 10.1016/j.ijcrp.2025.200437

Table 1.

Pearson's r and nonparametric correlation matrix between all variables.

CVD incidence Humidity TMP Ageing e [65] GDP PPP Obesity % Urbanization
CVD incidence 1 −0.014 −0.646∗∗∗ 0.764∗∗∗ 0.734∗∗∗ 0.428∗∗∗ 0.526∗∗∗
Humidity −0.133 1 0.027 0.008 −0.164∗ −0.190∗∗∗ −0.155∗
TMP −0.574∗∗∗ 0.180∗∗∗ 1 −0.391∗∗∗ −0.392∗∗∗ −0.186∗ −0.217∗∗∗
Ageing e [65] 0.782∗∗ −0.061 −0.399∗∗ 1 0.811∗∗∗ 0.362∗∗∗ 0.556∗∗∗
GDP PPP 0.775∗∗∗ −0.202∗∗∗ −0.373∗∗∗ 0.820∗∗∗ 1 0.502∗∗∗ 0.720∗∗∗
Obesity % 0.473∗∗∗ −0.212∗∗ −0.146∗∗ 0.388∗∗∗ 0.483∗∗∗ 1 0.546∗∗∗
Urbanization 0.555∗∗∗ −0.154∗ −0.209∗∗∗ 0.604∗∗∗ 0.757∗∗∗ 0.584∗∗∗ 1

Pearson r (above diagonal) and nonparametric (below diagonal) correlations were reported.

Significance levels: ∗P < 0.05, ∗∗∗P < 0.001. Number of country range (sample size): 176–209.

Data source & definition: Climatically temperature pattern (TMP), °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; Ageing indexed with life expectancy at 65 year old in 2014, United Nations; Per capita GDP PPP, measured with the per capita purchasing power parity (PPP) value of all final goods and services produced within a territory in a given year, the World Bank 2014; Urbanization, measured with the percentage of population living in urban area, the World Bank 2014; Obesity prevalence, measured with the percentage of population aged 18+ with BMI equal to or over 30 kg/m2, the World Health Organization 2014. All data were log-transformed for correlation analysis.