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Table 5 Statistical analysis of characteristics selected by FNN

From: Combinational risk factors of metabolic syndrome identified by fuzzy neural network analysis of health-check data

Study Characteristic model 1 model 2b model 3c model 4d
   OR (95%CI) P value OR (95%CI) P value OR (95%CI) P value OR (95%CI) P value
Original Study γ-GTP (doubling)a 4.71 (2.63–8.41) 1.69 × 10−7 5.98 (3.12–11.5) 7.25 × 10−8 4.06 (1.33–12.4) 0.014   
  WBC (1000 cells/μL) 1.83 (1.39–2.41) 1.62 × 10−5 1.94 (1.41–2.65) 3.86 × 10−5 2.69 (1.44–5.02) 0.002   
Replication Study γ-GTP (doubling)a 2.64 (2.45–2.85) <1.0 × 10−99 2.84 (2.62–3.08) <1.0 × 10−99 1.32 (1.17–1.51) 1.71 × 10−5 1.33 (1.17–1.51) 1.69 × 10−5
  WBC (1000 cells/μL) 1.31 (1.26–1.35) 2.73 × 10−51 1.30 (1.25–1.35) 5.06 × 10−42 1.05 (0.99–1.12) 0.107 1.06 (0.99–1.12) 0.094
Combined Studye γ-GTP (doubling)a 2.65 (2.46–2.86) <1.0 × 10−99 2.86 (2.64–3.10) <1.0 × 10−99 1.35 (1.19–1.53) 3.11 × 10−6   
  WBC (1000 cells/μL) 1.32 (1.27–1.36) 1.28 × 10−55 1.31 (1.26–1.36) 1.62 × 10−45 1.07 (1.01–1.14) 0.031   
  1. Odds ratio (OR) with 95 % confidence interval (CI) indicates the proportional change in risk associated with each increase by the amount indicated in parentheses.
  2. ageometric mean (2.5–97.5 %) was used because of skewed distriburions.
  3. Differences in characteristics between case and healthy control subjects were evaluated by logistic regression analysis.
  4. bDifferences were evaluated by logistic regression analysis with adjustment for age, drinking habit and smoking habit.
  5. cDifferences were evaluated by logistic regression analysis with adjustment for age, drinking habit, smoking habit and the components of MetS.
  6. dDifferences were evaluated by logistic regression analysis with adjustment for age, drinking habit, smoking habit, the components of MetS and exercise habit.
  7. eIn combined study, the difference of study was added in adjustment.