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The following are available online at https://www.mdpi.com/2072-6643/10/4/411/s1 . Figure S1: Correlation between the prevalence of men’s raised pressure (%) by WHO (for 2010) and by Nichols et al. (for 2008, including people using blood pressure medications), Figure S2: Correlation between the prevalence of women’s raised pressure by WHO (for 2010) and by Nichols et al. (for 2008, including people using blood pressure medications), Figure S3: Correlation between the prevalence of men’s raised pressure (%) by WHO (for 2010, excluding people using medications) and the mean consumption of total fat & animal protein (g/day per capita; FAOSTAT, 1993–2011), Figure S4: Correlation between the prevalence of men’s raised pressure by Nichols et al. (for 2008, including people using medications) and the mean consumption of total fat and animal protein (g/day per capita; FAOSTAT, 1993–2011), Figure S5: Correlation between the prevalence of women’s raised pressure (%) by WHO (for 2010, excluding people using medications) and the mean consumption of total fat and animal protein (g/day per capita; FAOSTAT, 1993–2011), Figure S6: Correlation between the prevalence of women’s raised pressure by Nichols et al. (for 2008, including people using medications) and the mean consumption of total fat and animal protein (g/day per capita; FAOSTAT, 1993–2011), Figure S7: Correlation between men’s CVD mortality by WHO (2012) and the actual men’s CVD mortality in by Nichols et al. in 42 European countries (per 100,000 population), Figure S8: Correlation between women’s CVD mortality by WHO (2012) and the actual women’s CVD mortality in by Nichols et al. in 42 European countries (per 100,000 population), Figure S9: Correlation between the prevalence of men’s raised glucose (%) by WHO (for 2010) and by Nichols et al. (for 2008) in 42 European countries, Figure S10: Correlation between the prevalence of women’s raised glucose by WHO (for 2010) and by Nichols et al. (for 2008) in 42 European countries, Figure S11: Relationship between life expectancy in men and women (WHO, 2012), Figure S12: Relationship between the prevalence of men’s raised blood pressure (%; WHO, 2010) and the mean proportion of energy from alcoholic beverages (%; FAOSTAT, 1993–2011), Figure S13: Relationship between the prevalence of men’s raised blood pressure (%; WHO, 2010) and the mean consumption of distilled beverages (g/day per capita; (FAOSTAT, 1993–2011), Figure S14: Relationship between the prevalence of women’s raised blood pressure (%; WHO, 2010) and the mean consumption of wheat (g/day per capita; FAOSTAT, 1993–2011), Figure S15: Relationship between the prevalence of women’s raised blood pressure (%; WHO, 2010) and the mean consumption of maize (g/day per capita; FAOSTAT, 1993–2011), Figure S16: Relationship between the prevalence of men’s raised blood pressure (%; WHO, 2010) and men‘s life expectancy (World Bank, 2012), Figure S17: Relationship between the prevalence of men’s raised blood pressure (%; WHO, 2010) and health expenditure per capita for 2012 (in USD), Figure S18: Relationship between men’s CVD mortality (WHO, 2012) and the mean proportion of energy from alcoholic beverages (%; FAOSTAT, 1993–2011), Figure S19: Relationship between men’s CVD mortality (WHO, 2012) and the mean consumption of distilled beverages (g/day per capita; (FAOSTAT, 1993–2011), Figure S20: Relationship between men’s CVD mortality (WHO, 2012) and the prevalence of men’s raised cholesterol (%; WHO, 2010), Figure S21: Relationship between women’s CVD mortality (WHO, 2012) and the prevalence of women’s raised cholesterol (%; WHO, 2010), Figure S22: Relationship between men’s CVD mortality (WHO, 2012) and men’s life expectancy (World Bank, 2012), Figure S23: Relationship between women’s CVD mortality (WHO, 2012) and women’s life expectancy (World Bank, 2012), Figure S24: Relationship between the prevalence of women’s raised blood glucose (%; WHO, 2010) and the mean consumption of pork (g/day per capita; FAOSTAT, 1993–2011), Figure S25: Relationship between the prevalence of women’s raised blood glucose (%; WHO, 2010) and the mean consumption of alcoholic beverages (g/day per capita, FAOSTAT, 1993–2011), Figure S26: Relationship between the prevalence of women’s raised blood glucose (%; WHO, 2010) and the mean proportion of carbohydrate energy from cereals (% CC energy) in the diet (FAOSTAT, 1993–2011), Figure S27: Relationship between the prevalence of women’s raised blood glucose (%; WHO, 2010) and the mean proportion of carbohydrate energy from cereals (% CC energy) in the diet (FAOSTAT, 1993–2011), Figure S28: Relationship between the prevalence of women’s raised blood glucose (%; WHO, 2010) and the mean consumption of animal fat (g/day per capita; FAOSTAT, 1993–2011), Figure S29: Relationship between the prevalence of women’s raised blood glucose (%; WHO, 2010) and the mean consumption of animal fat (g/day per capita; FAOSTAT, 1993–2011), Figure S30: Relationship between the prevalence of men’s raised blood pressure (WHO, 2008) and the prevalence of daily smoking of any tobacco product in men, Figure S31: Relationship between the prevalence of women’s raised blood pressure (WHO, 2008) and the prevalence of daily smoking of any tobacco product in women, Figure S32: Relationship between the prevalence of men’s CVD mortality (WHO, 2012) and the prevalence of current smoking of any tobacco product in men, Figure S33: Relationship between the prevalence of women’s CVD mortality (WHO, 2012) and the prevalence of current smoking of any tobacco product in women, Figure S34: Relationship between the self-reported prevalence of physical activity (WHO, 2010) and men’s CVD mortality (WHO, 2012), Figure S35: Correlation between the self-reported prevalence of physical activity and women‘s CVD mortality (WHO, 2012), Figure S36: Relationship between the prevalence of men’s raised blood pressure (%; WHO, 2010) and the mean consumption of sunflower oil (FAOSTAT, 1993–2011), Figure S37: Relationship between the prevalence of women’s raised blood pressure (%; WHO, 2010) and the mean consumption of sunflower oil (FAOSTAT, 1993–2011), Figure S38: Relationship between men’s CVD mortality (WHO, 2012) and the mean consumption of sunflower oil (FAOSTAT, 1993–2011), Figure S39: Relationship between women’s CVD mortality (WHO, 2012) and the mean consumption of sunflower oil (FAOSTAT, 1993–2011), Figure S40: Factor analysis including 75 variables in 92 countries with health expenditure above 500 USD per capita explaining 36.1% variability (Factor 1 vs. Factor 2), Figure S41: Factor analysis including 75 variables in 92 countries with health expenditure above 500 USD per capita explaining 35.2% variability (Factor 1 vs. Factor 3), Figure S42: Factor analysis including 75 variables in 61 countries with health expenditure 500–2000 USD per capita explaining 30.5% variability, Figure S43: Factor analysis including 77 variables (plus smoking) in 115 countries explaining 42.1% variability. Smoking in this plot represents ‘Current smoking of any tobacco product’, Figure S44: Factor analysis including 75 variables in 116 non-European countries explaining 38.1% variability, Figure S45: Factor analysis including 75 variables in 51 non-European countries with health expenditure above 500 USD per capita explaining 35.3% variability, Figure S46: Relationship between the prevalence of men’s raised blood pressure (%; WHO, 2010) and the mean consumption of potatoes (FAOSTAT, 1993–2011), Figure S47: Relationship between the prevalence of women’s raised blood pressure (%; WHO, 2010) and the mean consumption of dairy (FAOSTAT, 1993–2011), Figure S48: Relationship between men’s CVD mortality (WHO, 2012) and the mean consumption of alcoholic beverages (FAOSTAT, 1993–2011), Figure S49: Relationship between women’s CVD mortality (WHO, 2012) and the mean consumption of distilled beverages (FAOSTAT, 1993–2011), Figure S50: Temporal changes in correlation coefficients (-values) between men’s raised blood pressure (2010) and 10 food items, Figure S51: Temporal changes in correlation coefficients (-values) between women’s raised blood pressure (2010) and 10 food items, Table S1: Relationship between raised blood pressure and the examined variables (total sample of 158 countries), Table S2: Relationship between raised blood pressure and the examined variables (the world outside Europe, 116 countries), Table S3: Relationship between raised cholesterol and the examined variables (total sample of 158 countries), Table S4: Relationship between raised cholesterol and the examined variables (the world outside Europe, 116 countries), Table S5: Relationship between CVD mortality and the examined variables (total sample of 158 countries), Table S6: Relationship between CVD mortality and the examined variables (the world outside Europe, 116 countries), Table S7: Relationship between raised blood glucose and the examined variables (total sample of 158 countries), Table S8: Relationship between raised blood glucose and the examined variables (the world outside Europe, 116 countries), Table S9: Correlation between smoking and health indicators. All countries (= 115), Table S10: Correlation between smoking and health indicators. Non-European countries (= 76), Table S11: Correlation between physical activity and health indicators in 123 countries, Supplementary dataset , sheet S1: Plant food, sheet S2: Animal food, Total, sheet S3: Health statistics, sheet S4: Raised blood pressure (women), sheet S5: CVD mortality (women), sheet S6: Raised blood glucose (women).