Table 3.

Predictors of work outcomes: step-wise linear regression analyses

Work outcome	Variable	Regression statistics
Number of days affected by absence (n = 216)	Relationships	B = 2.667, 95% CI = .746–4.587, p = .007
	Control	B = −1.498, 95% CI = −2.957--.040, p = .044
	Control	R² = .060
Job performance (n = 211)	Role	B = .324, 95% CI = .189–.459, p = .0001
	Job stress	B = .-.206, 95% CI = −.346--.066, p = .004
	Job stress	R² = .161
Turnover intention (n = 216)	Role	B = −.342, 95% CI = −.529--.156, p = .0001
	Job stress	B = .344, 95% CI = .164–.524, p = .0001
	Managerial support	B = −.184, 95% CI = −.317–.051, p = .0001
	Managerial support	R² = 249
Intention to leave the labor force (n = 104)	Age	B = .072, 95% CI = .037–.107, p = .0001
	Role	B = −.264, 95% CI = −.475--.054, p = .014
	HF Problem rating at work	B = .065, 95% CI = .006–124, p = .031
	HF Problem rating at work	R² = .225