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Table 3 Predictors of work outcomes: step-wise linear regression analyses

From: Work outcomes in midlife women: the impact of menopause, work stress and working environment

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
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
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
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
R2 = .225