Table 4.
Ordinary Least Squares Regression Model Results: Effect of Be Hipp Intervention on Absenteeism Hours(a)
| Restricted | ||
|---|---|---|
| Entire Population β | Populationb β | |
| Coefficient on | Coefficient on | |
| Absenteeism Hours | Absenteeism Hours | |
| Intervention Arm (vs control arm at baseline) | 1.432 (.744) | −1.226 (.793) |
| Intervention arm in year 1c | −6.632 (.114) | −2.326 (.597) |
| Intervention arm in year 2c | −6.758 (.304) | −3.224 (.634) |
| Body mass index (at baseline) | 0.886d (.002) | 0.810d (.005) |
| Annual Income ≥$50 000 (at baseline) | −8.446 (.060) | −8.851 (.057) |
| College graduate (at baseline) | −11.08d (.008) | −11.58d (.008) |
| Observationse | 789 | 717 |
a
Model controlled for age, gender, secular trend (year), baseline body mass index, annual income, and education.
b
Excluding individuals who left employment, took pregnancy leave, or had missing body mass index data.
c
Control arm and the baseline year are the referent groups.
d
P values (within parentheses) are clustered at the individual level (P < .01).
e
Observations are equal to number of participant-years.