Table 4.
Variable | Coefficient | 95% Confidence Interval |
---|---|---|
Number of employees (size) | ||
under 100 | reference | |
100–199 | −0.84 | [−4.39,2.71] |
200+ | 1.27 | [−2.80,5.33] |
Occupational class category | ||
White-Collar | reference | |
Service | −1.06 | [−4.49,2.36] |
Blue-Collar | 2.87 | [−1.51,7.26] |
Occupational Safety and Health (OSH) Leadership1 | 1.27 | [−1.55,4.09] |
Dedicated staff person responsible for OSH 1 | 2.17 | [−1.48,5.82] |
Dedicated budget for OSH 1 | 2.75 | [−1.45,6.94] |
Worksite has OSH committee 1 | 4.02* | [0.56,7.50] |
Worksite Health Promotion (WHP) Leadership1 | 5.62** | [1.90,9.34] |
Dedicated staff person responsible for wellness 1 | 1.16 | [−2.88,5.20] |
Dedicated budget for worksite wellness 1 | 3.67 | [−0.58,7.92] |
Worksite has worksite wellness committee 1 | −1.19 | [−5.14,2.75] |
Notes:
p<0.05
p<0.01
The model included a constant term
Binary variable with response categories yes=1, no=0