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. Author manuscript; available in PMC: 2018 Jun 8.
Published in final edited form as: Du Bois Rev. 2011 Apr 15;8(1):95–113. doi: 10.1017/S1742058X11000087

Table 5.

Estimated Effects of Stress on Health Outcomes in Single Predictor, Multivariate, Cumulative, and Multivariate-Cumulative: Poisson Regression with Incident Rate Ratiosa

Stressors Functional Limitation Chronic Illness


1ab 2ac 3ad 4ae 1bb 2bc 3bd 4be


IRR (CI) IRR (CI) IRR (CI) IRR (CI) IRR (CI) IRR (CI) IRR (CI) IRR (CI)
Early life 1.26** 1.11+ 1.14 1.18* 1.07 1.07
(1.12–1.42) (0.99–1.25) (0.97–1.35) (1.03–1.34) (0.93–1.22) (0.90–1.27)
Acute life events 1.52** 1.20** 1.24* 1.50** 1.26** 1.27**
(1.34–1.71) (1.06–1.36) (1.03–1.50) (1.33–1.69) (1.11–1.43) (1.07–1.51)
Financial 1.55** 1.26** 1.31* 1.56** 1.34** 1.34**
(1.35–1.80) (1.09–1.46) (1.06–1.62) (1.36–1.80) (1.15–1.55) (1.11–1.63)
Relationship 1.57** 1.42** 1.47** 1.44** 1.29** 1.28*
(1.38–1.79) (1.23–1.64) (1.17–1.84) (1.26–1.64) (1.11–1.49) (1.01–1.63)
Life discrimination 1.42** 1.12 1.17 1.33** 1.09 1.10
(1.21–1.67) (0.95–1.32) (0.95–1.43) (1.13–1.55) (0.93–1.28) (0.90–1.36)
Job discrimination 1.24* 1.06 1.08 1.04 0.93 0.92
(1.00–1.54) (0.85–1.32) (0.82–1.41) (0.87–1.24) (0.77–1.11) (0.73–1.15)
Neighborhood 1.43** 1.24** 1.28* 1.27** 1.11 1.12
(1.24–1.66) (1.07–1.43) (1.05–1.56) (1.09–1.47) (0.96–1.29) (0.91–1.38)
Employment 1.26* 1.18 1.21 1.06 1.02 1.02
(1.03–1.54) (0.96–1.45) (0.96–1.54) (0.89–1.27) (0.86–1.22) (0.83–1.26)
Number of Stressors
 0 (Ref)
 1 1.27** 1.18*
(1.08–1.50) (1.01–1.38)
 2 1.56** 0.97 1.42** 1.02
(1.32–1.85) (0.73–1.28) (1.20–1.68) (0.78–1.34)
 3 1.75** 0.88 1.69** 1.04
(1.45–2.12) (0.58–1.32) (1.40–2.03) (0.70–1.54)
 4 2.04** 0.82 1.69** 0.88
(1.66–2.51) (0.48–1.41) (1.35–2.10) (0.51–1.51)
 5+ 3.04** 0.92 2.35** 1.06
(2.43–3.80) (0.43–1.97) (1.88–2.95) (0.50–2.22)
**

p < 0.01,

*

p < 0.05,

+

p < 0.10

a

All models control for age, gender, race, educational status, language of interview, and income.

b

Separate models for each stressor.

c

Single model including all 8 stressors simultaneously.

d

Single model with 5 indicator variables for number of stressors.

e

Single model including all 8 types of stressors plus indicator variables for number of stressors.