Research Article

Early Detection of Undiagnosed Hypertension Based on Occupational Screening in the Hotel and Restaurant Industry

Table 3

Predictors of hypertension by self-monitored home blood pressure measurement (home BPM).

Included variablesUnstandardised/regression coefficient BStandardised
error
Walddf ValueStandardised/effect coefficient 95% confidence intervals
Lower boundUpper bound

Sex1.28.487.241.0073.613.11.71
Body mass index (BMI).52.461.301.2531.690.694.16
Diagnoses
WORK1.15.722.511.1133.152.7613.03
LEISURE1.83.5610.771.0016.2272.0918.56
SLEEP1.67.559.211.0025.3201.8115.65
Constant−2.79.7613.551.001.061

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): , , and ; goodness-of-fit model’s quality: 52%.