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Table 5 Prevalence and logistic regression models for metabolic syndrome according to non-exercise-based estimation of cardiorespiratory fitness (eCRF) categories

From: Non-exercise based estimation of cardiorespiratory fitness is inversely associated with metabolic syndrome in a representative sample of Korean adults

ModelQuantile 1 (lowest)Quantile 2Quantile 3Quantile 4Quantile 5 (highest)
Women, No. of case1070 (40.0)619 (23.1)476 (15.1)589 (22.0)389 (14.5)
OR1.00.451** (0.401–0.508)0.325** (0.286–0.368)0.423** (0.375–0.477)0.255** (0.224–0.291)
ORa1.00.414** (0.363–0.472)0.303** (0.264–0.348)0.397** (0.348–0.453)0.231** (0.200–0.267)
ORb1.00.915 (0.761–1.100)0.955 (0.793–1.149)0.862 (0.714–1.041)0.715* (0.570–0.897)
ORc1.00.952 (0.790–1.147)0.860 (0.704–1.051)0.862 (0.710–1.046)0.738* (0.587–0.928)
Men, No. of case916 (46.4)503 (25.4)525 (26.6)597 (30.2)293 (14.8)
OR1.00.394** (0.344–0.450)0.418** (0.365–0.477)0.499** (0.438–0.569)0.201** (0.173–0.234)
ORa1.00.397** (0.346–0.454)0.425** (0.372–0.487)0.504** (0.442–0.576)0.206** (0.176–0.240)
ORb1.00.940 (0.785–1.125)0.863 (0.712–1.047)0.852 (0.708–1.026)0.730* (0.585–0.911)
ORc1.00.864 (0.707–1.056)0.941 (0.767–1.153)0.872 (0.710–1.072)0.664* (0.517–0.852)
  1. OR odds ratio. Data are presented as OR (95% confidence interval)
  2. Adjusted for age
  3. Adjusted for age, body mass index, skeletal muscle index, physical activity, smoking, and heavy drinking
  4. Adjusted for age, body mass index, skeletal muscle index, physical activity, smoking, heavy drinking, vitamin D, caloric intake, and intakes of protein, fat, and carbohydrate
  5. **Significantly different compared with individuals in the lowest eCRF category (Quantile 1) at p < 0.001
  6. *Significantly different compared with individuals in the lowest eCRF category (Quantile 1) at p < 0.05
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