Hazard risks (HR (95% confidence interval), 1 SD increase in ln2 variable) of first-time incidence of myocardial infarction, ischemic heart disease (IHD) and stroke during follow-up as predicted by continuous YKL-40 levels and 4^th quartile YKL-40 values.

*<p>Adjustments: age, gender, smoking, WHR, hypertension, baseline diabetes, baseline angina pectoris, total cholesterol, HDL, CRP, NT-proBNP, UACR.</p>†<p>Adjustments: age, gender, smoking, hypertension, atrial fibrillation, baseline diabetes, baseline IHD, total cholesterol, HDL, CRP, NT-proBNP, UACR.</p>‡<p>Adjustments: age, gender, smoking, WHR, hypertension, baseline diabetes, total cholesterol, HDL, CRP, NT-proBNP, UACR.</p

Characteristics of the study population at baseline grouped according to quartiles of serum YKL-40.

*<p>Smoking was defined as persons smoking one or more cigarettes/cigars/pipes a day; all others were classified as non-smokers.</p><p>Values are presented as.</p>†<p>mean (SD),</p>‡<p>median (IQR) or N (% within quartile) where not specified.</p><p>Abbreviations not mentioned in main text: BP, blood pressure; HOMA-IR, homeostasis model assessment of insulin resistance.</p

Hazard risks (HR (95% confidence interval) of all-cause mortality and mortality from ischemic heart disease (IHD), ischemic and hemorrhagic stroke and heart failure as predicted by continuous YKL-40 levels and 4^th quartile YKL-40 values.

*<p>Adjustments: age, gender, smoking, alcohol, WHR, hypertension, baseline diabetes, baseline stroke, baseline IHD, total cholesterol, CRP, NT-proBNP, UACR.</p>†<p>Adjustments: age, gender, smoking, hypertension, baseline diabetes, baseline stroke, baseline IHD, total cholesterol, HDL, CRP, NT-proBNP, UACR.</p>‡<p>Adjustments: age, gender, smoking, WHR, hypertension, baseline diabetes, baseline IHD, total cholesterol, HDL, CRP, NT-proBNP, UACR.</p>§<p>Adjustments: age, gender, smoking, hypertension, baseline diabetes, baseline IHD, total cholesterol, CRP, NT-proBNP, UACR.</p

Prevalence of the 12 single nucleotide polymorphisms (SNPs) of <i>CHI3L1</i>, associated observed serum YKL-40 levels for each genotype and association with serum YKL-40 levels.

*<p>Major allele.</p>**<p>Adjusted for age, gender, triglycerides, alcohol, CRP and WHR.</p

Regression plots for cardio-metabolic risk factors for leisure-time sitting, occupational sitting and overall sitting time.

<p>A Waist circumference (n=2414), B BMI (n=2412), C Body fat (n=2408), D Total cholesterol (n=2402), E HDL cholesterol (n=2269), F LDL cholesterol (n=2251), G Triglycerides (n=2269), H Insulin (n=2268), I Hemoglobin A1c (n=2273), J Plasma glucose (n=2269). P-values reported are for the effect of each sitting time domain. All p-values are rounded to four decimals. For non-linear associations restricted linear spline were used with knots at the 10, 50 and 90 percentiles of sitting time for each domain. All models included the covariates sex, age, education, smoking, alcohol consumption, diet and moderate to vigorous physical activity (MVPA). Color legend for all plots: Grey=Leisure-time sitting, Blue=Occupational sitting time, Black=Overall sitting time.</p

Estimated parameters for the categorical high/low measure of overall sitting time (Beta-estimates (ß), p-values, 95% confidence intervals (CI), and Type III p-values).

<p>Table footnotes:</p><p>All estimates are rounded to four decimals.</p><p>Models included the covariates sex, age, education, smoking, alcohol consumption, diet and moderate to vigorous physical activity (MVPA).</p

Baseline characteristics of the study population by sex, domains of sitting time, covariates and cardio-metabolic risk factors (Percentage frequencies (n values) and Means (SD, standard deviations)).

<p>Table footnotes:</p><p>MVPA: Moderate to vigorous physical activity.</p>*<p>Cut points at ≤3 and >3 h/day for leisure-time sitting, and <6 and 6≥ h/day for occupational sitting, was used.</p>**<p>Alcohol consumption defined by whether Danish weekly drinking limits (no more than 14 drinks for men; no more than 7 drinks for women) were met or exceeded.</p

The relationship between 12 single nucleotide polymorphisms (SNPs) of <i>CHI3L1</i> and levels of lipid parameters and YKL-40 in MONICA-10.

*<p>major allele ** Linear regression models, adjusted for age and gender. All SNPs presented MAFs (minor allele frequenciy)>5%, except for rs4950930 (MAF = 4.7%)</p><p>Abbreviations: LDL, low density lipoprotein; HDL, high density lipoprotein.</p

Prevalence and risk (odds ratio (95% confidence interval)) of hypercholesterolemia and low HDL at baseline according to single nucleotide polymorphisms (SNPs) of CHI3L1 in MONICA-10.

*<p>Major allele</p><p>Adjusted for age and gender</p

The relationship between 11 single nucleotide polymorphisms (SNPs) of CHI3L1 and lipid levels in Inter99.

<p>*major allele **Linear regression models, adjusted for age and gender.</p><p>Abbreviations: LDL, low density lipoprotein; HDL, high density lipoprotein; SD, standard deviation; IQR, inter quartile range.</p