Table. 3.

Predictors of metabolic syndrome-related morbidity

DiseasePredictorOR95% CI
Abdominal obesityGender*1.0281.00-1.01
Income0.8930.79-1.01
BMI1.8871.69-2.11
Smoking (pack year)0.9960.98-1.01
Exercise (high intensity)0.9991.00-1.00
HypertriglyceridemiaGender0.6640.44-1.00
Age1.0281.01-1.05
BMI1.1441.08-1.21
Smoking (pack year)1.0080.99-1.02
Low HDL-CholesterolGender1.0970.78-1.53
Education0.9350.87-1.00
BMI1.0921.04-1.14
Alcohol (/day)0.9860.98-1.00
Exercise (high intensity)0.9991.00-1.00
Elevated blood pressureGender0.5700.38-0.85
Age1.0501.03-1.07
BMI1.1661.10-1.24
Smoking (pack year)0.9950.98-1.01
Exercise (high intensity)1.0001.00-1.00
Elevated fasting plasma glucoseGender0.9490.48-1.88
Age1.0671.03-1.11
BMI1.1391.05-1.24
Smoking (pack year)0.9950.97-1.02
Alcohol (/day)1.0191.01-1.03
Metabolic syndromeGender0.8740.56-1.36
Age1.0491.02-1.08
Income0.9550.85-1.08
Education0.9980.90-1.11
BMI1.3671.28-1.46
Smoking (pack year)1.0121.00-1.03
Multiple logistic regression analysis.OR, odds ratio; CI, confidence interval.

Gender: male=0, female=1.

Korean J Obes 2015;24:148~155 https://doi.org/10.7570/kjo.2015.24.3.148
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