Table 3 Multiple Logistic Regression Analysis for the Association between Glaucoma and Metabolic Syndrome in Total population and Non-obese and Obese Participants.

From: Differential Association of Metabolic Risk Factors with Open Angle Glaucoma according to Obesity in a Korean Population

 

Total

Non-obese

Obese

Model 1

Model 2

Model 1

Model 2

Model 1

Model 2

MetS

1.37 (1.03,1.83)

1.62 (1.14,2.32)

1.96 (1.33,2.87)

2.00 (1.34,3.00)

1.05 (0.59,1.87)

1.05 (0.58,1.91)

High WC

0.91 (0.66,1.23)

1.03 (0.68,1.58)

1.36 (0.84,2.21)

1.42 (0.86,2.34)

0.77 (0.39,1.50)

0.67 (0.33,1.39)

High BP

1.58 (1.13,2.21)

1.68 (1.20,2.36)

1.89 (1.29,2.78)

1.88 (1.29,2.74)

1.37 (0.72,2.62)

1.26 (0.66,2.40)

High FPG

1.22 (0.89,1.67)

1.24 (0.87,1.76)

1.15 (0.77,1.73)

1.10 (0.72,1.68)

1.36 (0.84,2.18)

1.36 (0.84,2.22)

High TGs

1.43 (1.08,1.90)

1.41 (1.02,1.96)

1.78 (1.24,2.55)

1.65 (1.12,2.43)

1.12 (0.66,1.90)

1.02 (0.55,1.90)

Low HDL-C

1.13 (0.83,1.53)

1.08 (0.74,1.58)

1.61 (1.07,2.41)

1.37 (0.86,2.19)

0.77 (0.48,1.24)

0.62 (0.35,1.08)

  1. Data are presented as OR (95% CI).
  2. ORs were calculated with non-glaucoma subjects as the reference group, using multiple logistic regression analysis.
  3. Abbreviations: WC, waist circumference; TGs, triglycerides; HDL-C, high-density lipoprotein-cholesterol; BP, blood pressure; FPG, fasting plasma glucose; MetS, metabolic syndrome; OR, odds ratio; CI, confidence interval.
  4. aModel 1, adjusted for surveyed year, age and sex.
  5. bModel 2, adjusted for surveyed year, age, sex, IOP, household income, exercise, education level, smoking status, alcohol consumption, and BMI (*additionally adjusted for dyslipidemia medication use).
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