Table 2.
Coefficient estimates for factors associated with long-term adherence from a linear regression model
| Independent variables | β (95% CI)a | P-value |
|---|---|---|
| Age per 10-year increment | 1.14 (1.08–1.20) | <0.001b |
| Female sex (ref.: male) | 0.96 (0.85–1.09) | 0.52 |
| HF diagnosis (ref.: no) | 0.98 (0.89–1.09) | 0.77 |
| Atrial fibrillation (ref.: no) | 0.95 (0.85–1.06) | 0.37 |
| Cardiovascular comorbiditiesb (ref.: no) | 0.93 (0.83–1.04) | 0.18 |
| CRT-D (ref.: ICD) | 1.01 (0.88–1.16) | 0.88 |
| Active smoking status (ref.: never smoked) | 0.90 (0.77–1.05) | 0.17 |
| Previous smoking status (ref.: never smoked) | 0.95 (0.86–1.05) | 0.34 |
| KCCQ clinical score | 1.0 (0.997 -1.003) | 0.80 |
| Both changeover schedules (ref.: biweekly) | 1.09 (0.97–1.22) | 0.14 |
| Monthly changeover schedules (ref.: biweekly) | 1.24 (1.07–1.45) | 0.0047b |
CI, confidence interval; CRT-D, Cardiovascular resynchronization therapy defibrillator; HF, heart failure; ICD, implantable cardioverter defibrillator; KCCQ, Kansas City Cardiomyopathy Questionnaire.
aThe dependent variable, long-term adherence, was employed as a log-transformed value in the linear regression; therefore, the coefficient estimate above reflects the relative increase in long-term adherence.
bCardiovascular comorbidities include hypertension, hyperlipidaemia, diabetes, renal disease, chronic obstructive pulmonary disease, and obstructive sleep apnoea.