Table 3.
Predictors of hypertension by self-monitored home blood pressure measurement (home BPM).
| Included variables | Unstandardised/regression coefficient B | Standardised error |
Wald | df | p Value | Standardised/effect coefficient exp(B) | 95% confidence intervals exp(B) | |
|---|---|---|---|---|---|---|---|---|
| Lower bound | Upper bound | |||||||
| Sex | 1.28 | .48 | 7.24 | 1 | .007 | 3.613 | .11 | .71 |
| Body mass index (BMI) | .52 | .46 | 1.30 | 1 | .253 | 1.690 | .69 | 4.16 |
| Diagnoses | ||||||||
| WORK | 1.15 | .72 | 2.51 | 1 | .113 | 3.152 | .76 | 13.03 |
| LEISURE | 1.83 | .56 | 10.77 | 1 | .001 | 6.227 | 2.09 | 18.56 |
| SLEEP | 1.67 | .55 | 9.21 | 1 | .002 | 5.320 | 1.81 | 15.65 |
| Constant | −2.79 | .76 | 13.55 | 1 | .001 | .061 | ||
Note. Binary logistic regression (method: inclusion); dependent variable: hypertension diagnosis by home BPM; reference category = 0; sex: 0 = female; 1 = male, BMI classification: 0 = normal weight; 1 = overweight + obesity; sportive activity: 0 = regularly; 1= not at all + occasionally; 24-hr ABPM: diagnoses: 0 = normotension; 1 = hypertension during phases WORK-LEISURE-SLEEP; significance threshold (two-tailed): p < .001, p < .01, and p < .05; goodness-of-fit model's quality: 52%.