Table 3.
Multiple logistic regression model for metabolic syndrome using HR cluster as independent variable
| OR (95% CI) | p | |
|---|---|---|
| HR Cluster (Cluster 2 vs. Cluster 1) | 1.45 (1.02–2.07) | .04 |
| Sex (male vs. female) | 1.35 (0.94–1.93) | .10 |
| Age (1 SD = 7.0 year increase in age) | 1.04 (0.89–1.22) | .64 |
| Presence of CAD | 0.98 (0.69–1.39) | .91 |
| BMI (1 SD = 5.3 kg/m2 increase in BMI) | 3.46 (2.77–4.32) | <.001 |
| Exercise (hours/week) (1 SD=3.6 hour increase in exercise) | 0.92 (0.79–1.06) | .25 |
| Household income | ||
| $40,000–59,999 vs. ≤$39,999 | 0.80 (0.51–1.27) | .35 |
| $60,000–99,999 vs. ≤$39,999 | 0.66 (0.42–1.03) | .07 |
| ≥$100,000 vs. ≤$39,999 | 0.57 (0.34–0.93) | .03 |
| Years of school | 0.95 (0.80–1.11) | .50 |
| Medication influencing MetS parameters | 1.19 (0.72–1.94) | .50 |
| Other medications | 1.61 (0.80–3.23) | .18 |
| Presence of comorbid medical conditions | 1.50 (1.10–2.04) | .01 |
| Sex hormone therapy | 0.63 (0.32–1.27) | .20 |
OR = odds ratio, CI = confidence interval, SBP = systolic blood pressure, BMI = body mass index, CAD = coronary artery disease.