Table 6.
Pearson r | Spearman rho | Partial | Partial | |||||
---|---|---|---|---|---|---|---|---|
r | n | r | n | r | n | r | n | |
White meat | 0.515*** | 163 | 0.560*** | 163 | 0.337*** | n=150 | 0.3484*** | n=149 |
Red meat | 0.531*** | 163 | 0.551*** | 163 | 0.092 | n=150 | - | - |
Ageing | 0.555*** | 163 | 0.587*** | 163 | - | - | - | - |
GDP | 0.529*** | 157 | 0.573*** | 157 | - | - | - | - |
Is | 0.274*** | 161 | 0.565*** | 161 | - | - | - | - |
Obesity % | 0.489*** | 161 | 0.501*** | 161 | - | - | - | - |
URBAN | 0.470*** | 163 | 0.516*** | 163 | - | - | - | - |
Pearson r, nonparametric and partial correlations were reported. Significance levels: * P <0.05, ** P< 0.01, *** P< 0.001; White meat (poultry) intake (kg/capita/year) sourced from the Food and Agriculture Organization, and red meat intake (kg/capita/year) was calculated through subtracting white meat from total meat intake; Ageing (percent of males ages 65 and above) and GDP PPP (gross domestic product converted to international dollars using purchasing power parity rates) and urbanization (the percent of males living in urban areas) were sourced from the World Bank. Male obesity prevalence (percent of males aged 18+ with BMI ≥ 30 kg/m2); Is was extracted from previous publications.