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Table 2 Effect modifications by gender, age and occupation for the prospective associations between occupational factors and the incidence of poor SRH among the study sample of 15,971 employees

From: Prospective associations between psychosocial work factors and self-reported health: study of effect modification by gender, age, and occupation using the national French working conditions survey data

 

RR

95% CI

p-value for interaction

Significant effect modifications by gender1

Job insecurity

    

0.019

Men

1.41

1.16

1.73

 

Women

1.03

0.87

1.23

 

Significant effect modifications by age (years)2

Temporary employment

    

0.002

< 30

0.67

0.45

1.01

 

[30–40]

1.73

1.18

2.55

 

[40–50]

1.23

0.82

1.85

 

≥50

0.77

0.53

1.12

 

Significant effect modifications by occupation3

High changes at work

    

0.039

Managers - professionals

1.52

1.15

2.01

 

Associate professionals - technicians

1.07

0.87

1.33

 

Clerks - service workers

1.60

1.33

1.93

 

Blue-collar workers

1.26

0.98

1.61

 

Shift work

    

0.006

Managers - professionals

0.12

0.03

0.48

 

Associate professionals - technicians

1.07

0.75

1.54

 

Clerks - service workers

1.19

0.87

1.64

 

Blue-collar workers

0.79

0.60

1.04

 

Biomechanical exposure

    

0.017

Managers - professionals

1.05

0.75

1.46

 

Associate professionals - technicians

1.05

0.86

1.28

 

Clerks - service workers

1.50

1.23

1.83

 

Blue-collar workers

1.81

1.25

2.62

 

Toxic/dangerous products

    

0.018

Managers - professionals

0.95

0.64

1.42

 

Associate professionals - technicians

1.03

0.84

1.27

 

Clerks - service workers

1.40

1.13

1.72

 

Blue-collar workers

0.83

0.64

1.06

 
  1. RR incidence rate ratio, CI confidence interval
  2. Each occupational factor was studied separately using discrete time Poisson regression models and weighted data
  3. 1Adjusted for age, marital status, life events, and occupation
  4. 2Adjusted for gender, marital status, life events, and occupation
  5. 3Adjusted for gender, age, marital status, and life events
  6. p > 0.05 after correction for multiple testing (FDR)
  7. 84 tests were done, 4 or 5 would be significant at 5% even if the null hypotheses were true, and 6 were found to be significant (before correction for multiple testing, FDR, and 0 after correction)