Demographic and Laboratory Data for the Without (MetS(−)) and With (MetS(+)) Metabolic Syndrome Groups of Elderly Males Living in a Rural Community (N = 361).

<p>Continuous data were analyzed with independent-sample T test; dichotomous data were analyzed with chi-square test.</p><p>HDLC: high density lipoprotein cholesterol; HOMA: Homeostatic model assessment;</p><p>hsCPR: high sensitivity C-reactive protein;</p><p>IPAQ: International Physical Activity Questionnaire.</p><p>data expressed as: number (percent), mean (standard deviation).</p>#<p>modified ATP III definition of metabolic syndrome.</p>*<p>Unfermented tea including green tea (unfermented) and oolong tea (partial fermented).</p

Clinical characteristics of the study subjects.

<p>Data are expressed as mean ± standard deviation (SD) or number (percentage).</p><p>BMI, body mass index; WC, waist circumference; SBP, systolic blood pressure; DBP, diastolic blood pressure; FPG, fasting plasma sugar; HDL-C, high density lipoprotein cholesterol; eGFR, estimated glomerular filtration rate; CKD, chronic kidney disease.</p

The prevalence of gallstone in subjects with different numbers of metabolic abnormalities.

<p>The prevalence of gallstone in subjects with different numbers of metabolic abnormalities.</p

Binary Logistic Regression Model for Associated Factors (Focus on Daily Smoking and Tea Consumption Amount) of Metabolic Syndrome in Elderly Males Living in a Rural Community (N = 361).

<p>HOMA: Homeostatic model assessment; hsCPR: high sensitivity C-reactive protein;</p><p>IPAQ: International Physical Activity Questionnaire.</p><p>dependent variable: without vs with metabolic syndrome.</p>#<p>:Log transformation.</p><p>Nagelkerke R square = 0.551; Cox & Snell R square : 0.403.</p

Binary Logistic Regression Model for Associated Factors (Focus on Current Smoking Status and Different types of Tea Drinking Habits) of Metabolic Syndrome in Elderly Males Living in a Rural Community (N = 361).

<p>HOMA: Homeostatic model assessment; hsCPR: high sensitivity C-reactive protein;</p><p>IPAQ: International Physical Activity Questionnaire.</p><p>Dependent variable: without vs with metabolic syndrome.</p>#<p>:Log transformation.</p>*<p>Unfermented tea including green tea (unfermented) and oolong tea (partial fermented).</p><p>Nagelkerke R square = 0.526; Cox & Snell R square : 0.384.</p

Binary Logistic Regression Model for Associated Factors (Focus on Total Smoking Amount and Duration of Habitual Tea Consumption) of Metabolic Syndrome in Elderly Males Living in a Rural Community (N = 361).

<p>HOMA: Homeostatic model assessment; hsCPR: high sensitivity C-reactive protein;</p><p>IPAQ: International Physical Activity Questionnaire.</p><p>Dependent variable: without vs with metabolic syndrome.</p>#<p>:Log transformation.</p><p>Nagelkerke R square = 0.547; Cox & Snell R square : 0.400.</p

The adjusted odds ratio (OR) and 95% confidence interval (CI) of central obesity and overweight on the risk of erosive esophagitis based on binomial logistic regression in non-obese group.

<p><i>p</i> value: *<0.05; **<0.01; ***<0.001.</p><p>BMI: body mass index; HDL-C: high density lipoprotein-cholesterol.</p

The adjusted odds ratio and 95% confidence interval of the association between metabolic abnormalities and the risk of gallstones based on binary logistic regression.

<p>* P<0.05, ** P<0.001.</p><p>BMI, body mass index; CKD, chronic kidney disease.</p><p>Model 1: Age, gender.</p><p>Model 2: Age, gender, obesity (BMI>27), current smoking, current alcohol drinking, regular exercise, education.</p><p>Model 3: Age, gender, obesity (BMI>27), current smoking, current alcohol drinking, regular exercise, education, hepatitis B, hepatitis C, CKD.</p

Clinical characteristics of subjects with or without erosive esophagitis.

<p>Data expressed as number (%), mean ± SD or median (IQR)^#.</p><p><i>p</i> value: *<0.05; **<0.01; ***<0.001.</p><p>BMI: body mass index; WC: waist circumference; SBP: systolic blood pressure; DBP: diastolic blood pressure; FPG: fasting plasma glucose; HDL-C: high density lipoprotein-cholesterol.</p

Correlation Coefficients for Smoking Habits and Associated Factors in Elderly Males Living in a Rural Community.

a<p><i>P</i><0.05; ^b<i>P</i><0.001. Data were analyzed with pearson correlation analysis.</p><p>HOMA: Homeostatic model assessment; hsCPR: high sensitivity C-reactive protein;</p><p>IPAQ: International Physical Activity Questionnaire.</p>#<p>:Log transformation.</p>*<p>Unfermented tea including green tea (unfermented) and oolong tea (partial fermented).</p><p>Current tea drinking : (No = 0, Fermented = 1, Unfermented = 2).</p><p>Habitual tea consumption : (Non-current tea drinking = 0, Tea drinking years<10 = 1, Tea drinking years≥10 = 2).</p><p>Daily tea consumption: (Non-current tea drinking = 0, Daily amount<240 cc = 1, Daily amount≥240 cc = 2).</p><p>Current smoking habit (Non-smoker = 0, Ex-smoker = 1, Current smoker = 2).</p><p>Total smoking amount (Non-smoker = 0, 0</p><p>Daily smoking amount (Non-smoker = 0, Daily amount<20 = 1, Daily amount ≥20 = 2).</p><p>Physical activity (IPAQ-short form) (Low = 0, Middle = 1, High = 2).</p