Hazard ratios (HRs) for developing breast cancer in relation to metabolic syndrome components.

<p>¹Stratified by age (5-year classes) and centre.</p><p>²Adjusted for menopausal status (whole cohort model only), number of full-term pregnancies, age at menarche, smoking status, education, physical activity, and alcohol intake; stratified by age (5-year classes) and centre.</p><p>³P for interaction between metabolic syndrome components and menopausal status.</p><p>Hazard ratios (HRs) for developing breast cancer in relation to metabolic syndrome components.</p

Baseline characteristics of the subcohort according to presence or absence of metabolic syndrome.

<p>Baseline characteristics of the subcohort according to presence or absence of metabolic syndrome.</p

Hazard ratios (HRs) for developing breast cancer in relation to metabolic syndrome and number of metabolic syndrome components.

<p>¹Stratified by age (5-year classes) and centre.</p><p>²Adjusted for menopausal status (whole cohort model only), number of full-term pregnancies, age at menarche, smoking status, education, physical activity, and alcohol intake; stratified by age (5-year classes) and centre.</p><p>³P for interaction between metabolic syndrome and menopausal status.</p><p>Hazard ratios (HRs) for developing breast cancer in relation to metabolic syndrome and number of metabolic syndrome components.</p

HRs for developing colorectal, colon and rectal cancer by increasing tertiles of dietary TAC.

<p>¹ mmol Trolox equivalents/day.</p><p>² Adjusted for age and sex; stratified for center.</p><p>³ Additionally adjusted for BMI, height, smoking status, education and total physical activity; stratified for center.</p><p>⁴ Additionally adjusted for intakes of alcohol, non-alcohol energy intake, red meat, processed meat, calcium and dietary fiber; stratified for center.</p><p>⁵P trends were calculated from the Cox model treating each category as a continuous variable.</p><p>HRs for developing colorectal, colon and rectal cancer by increasing tertiles of dietary TAC.</p

Direct Acyclic Graph (DAG) for the association of low educational status and Major Cardiovascular Events with results from Structural Equation Model.

<p>Direct Acyclic Graph (DAG) for the association of low educational status and Major Cardiovascular Events with results from Structural Equation Model.</p

Univariate analysis: baseline exposures by RII tertiles.

<p>P-values from chi square or 1-way analysis of variance, as appropriate.</p

Major cardiovascular events (Panel A) and major cerebrovascular events (Panel B): crude and adjusted Cox models.

<p>Model 1 is adjusted by smoking status, alcohol consumption, physical activity, Italian Mediterranean Index, energy intake, and body mass index. Model 2 is adjusted by baseline hypertension, baseline hypercholesterolemia, and prevalent diabetes. Model 3 is adjusted as in Model 1+ Model 2. All models are adjusted by age and sex and stratified by center.</p

Hazard ratios (HRs) for developing CHD in relation to daily coffee intake.

<p>* Model 1: adjusted for sex and age at recruitment, stratified by center.</p><p>^† Model 2: model 1 with additional adjustments for non-alcohol energy intake, hypertension (yes/no), diabetes (yes/no), hyperlipidemia (yes/no), alcohol intake (0, up to 12, >12 for women; 0, up to 24, >24 for men), fruit and vegetables intake, tea consumption (0, up to 150 ml/day, >150 ml/day), saturated fatty acid intake, smoking status, smoking pack-years, education (≤8 years, >8 years), BMI (≤25, 25–30, >30), waist circumference (cm), and physical activity. One cup = 30 ml.</p><p>Hazard ratios (HRs) for developing CHD in relation to daily coffee intake.</p

Multivariable-adjusted means^* (standard error in parentheses) of triglycerides and total, LDL and HDL cholesterol, by categories of coffee consumption, in 1472 randomly selected EPICOR volunteers.

<p>* Adjusted for sex, age at recruitment, non-alcohol energy intake, hypertension (yes/no), diabetes (yes/no), hyperlipidemia (yes/no), alcohol intake (0, up to 12, >12 for women; 0, up to 24, >24 for men), saturated fatty acid intake, smoking status, education (≤8 years, >8 years), BMI (≤25, 25–30, >30), waist circumference (cm), and physical activity.</p><p>^† ANOVA.</p><p>Multivariable-adjusted means^{<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0126550#t003fn001" target="_blank">*</a>} (standard error in parentheses) of triglycerides and total, LDL and HDL cholesterol, by categories of coffee consumption, in 1472 randomly selected EPICOR volunteers.</p

Logistic regression models for the association between the relative index of inequality (RII) and clinical risk factors: hypertension at baseline (Panel A), hypercholesterolemia at baseline (Panel B), and diabetes at baseline (Panel C).

<p>Multivariate models are adjusted by age, sex, center, smoking status, physical activity, alcohol consumption, Dietary Mediterranean index, and energy intake.</p