Table 4.
Multiple logistic regression model for metabolic syndrome using HF-HRV cluster as independent variable and sex as moderator
| OR (95% CI) | p | |
|---|---|---|
| Sex × HF Cluster† | .005 | |
| Cluster 2 vs. Cluster 1 within female | 2.30 (1.30–4.07) | .004 |
| Cluster 3 vs. Cluster 1 within female | 2.57 (1.22–5.41) | .01 |
| Cluster 2 vs. Cluster 3 within female | 0.90 (0.44–1.84) | .77 |
| Cluster 2 vs. Cluster 1 within male | 0.69 (0.46–1.02) | .06 |
| Cluster 3 vs. Cluster 1 within male | 0.59 (0.35–1.00) | .05 |
| Cluster 2 vs. Cluster 3 within male | 1.16 (0.69–1.92) | .58 |
| Cluster† | .40 | |
| Sex (male vs. female)ψ | 1.32 (0.92–1.90) | .13 |
| Age (1 SD=7.0 year increase in age) | 1.02 (0.86–1.19) | .85 |
| Presence of CAD | 0.94 (0.66–1.33) | .72 |
| BMI (1 SD=5.3 kg/m2 increase in BMI) | 3.50 (2.80–4.37) | <.001 |
| Exercise (hours/week) (1 SD=3.6 hour increase in exercise) | 0.91 (0.78–1.05) | .21 |
| Household income | ||
| $40 000–59,999 vs. ≤$39,999 | 0.83 (0.52–1.32) | .42 |
| $60,000–99,999 vs. ≤$39,999 | 0.68 (0.43–1.07) | .09 |
| ≥$100,000 vs. ≤$39,999 | 0.59 (0.36–0.97) | .04 |
| Years of school | 0.94 (0.77–1.10) | .43 |
| Medication influencing MetS parameters | 1.29 (0.78–2.13) | .32 |
| Other medications | 1.54 (0.76–3.11) | .23 |
| Presence of comorbid medical conditions | 1.52 (1.11–2.07) | <.01 |
| Sex hormone therapy | 0.62 (0.30–1.25) | .18 |
OR = odds ratio, CI = confidence interval, SBP = systolic blood pressure, BMI = body mass index, CAD = coronary artery disease.