Table 2.
Association between baseline characteristics and program usage and physical activity (n=51): univariable linear regression analyses.
| Characteristics | Moderate to vigorous physical activitya | ||
| Β (95% CI) | P valueb | ||
| Sex |
|
|
|
|
|
Women | Reference |
|
|
|
Men | 0.38 (−0.35 to 1.10) | .30 |
| Age, years | 0.01 (−0.03 to 0.04) | .76 | |
| Educational level |
|
|
|
|
|
Low or medium | Reference |
|
|
|
High | 0.44 (−0.20 to 1.08) | .18 |
| Body mass index, kg/m2 | −0.02 (−0.07 to 0.04) | .53 | |
| Waist circumference, cm | 0.10 (−0.01 to 0.03) | .36 | |
| Work, hours/week | −0.02 (−0.07 to 0.02) | .26 | |
| Shift work |
|
|
|
|
|
Yes | Reference |
|
|
|
No | 0.23 (−0.50 to 0.96) | .53 |
| Characteristics of program usage |
|
|
|
| eHealth team (1-8) |
|
|
|
|
|
Team 1 | 2.06 (1.43 to 2.70) | <.001 |
|
|
Team 2 | 2.04 (1.37 to 2.72) | <.001 |
|
|
Team 3 | 2.06 (1.46 to 2.66) | <.001 |
|
|
Team 4 | 1.72 (1.14 to 2.29) | <.001 |
|
|
Team 5 | 1.01 (0.43 to 1.59) | .001 |
|
|
Team 6 | 0.09 (−0.48 to 0.67) | .75 |
|
|
Team 7 | 0.45 (−0.13 to 1.02) | .13 |
|
|
Team 8 | Reference |
|
| Compliance: accelerometer wearc | 0.02 (0.00 to 0.04) | .04 | |
| Engagement |
|
|
|
|
|
≤3 times target reached | Reference |
|
|
|
4 or 5 times target reached | 1.03 (0.52 to 1.53) | <.001 |
| Number of log-ins | −0.00 (−0.01 to 0.01) | .74 | |
| Number of messages | 0.01 (0.00 to 0.02) | .04 | |
aLog-transformed average moderate to vigorous physical activity (metabolic equivalent task or MET>3), in MET hours.
bStatistical significance was defined as P<.05.
cPercentage of days with >10 hours of physical activity registration.