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. Author manuscript; available in PMC: 2019 Jun 1.
Published in final edited form as: Arthritis Care Res (Hoboken). 2018 Apr 12;70(6):884–891. doi: 10.1002/acr.23442

Table 2.

WOMAC pain and function 2 years after total knee arthroplasty: interaction between education and percent below poverty at census-tract level

Percent
below
poverty at
Census-Tract
Level
Education WOMAC Pain at 2 Years* WOMAC Function at 2 Years**
Estimate
(Standard
Error)
Estimated
Difference
(Standard Error)
P-Value Estimate
(Standard
Error)
Estimated
Difference
(Standard Error)
P-Value
10% Non-college
College/above
83.36 (0.76)
87.10 (0.75)
−3.74 (0.60) <0.0001 81.01 (0.76)
83.55 (0.75)
−2.54 (0.61) <0.0001
20% Non-college
College/above
81.23 (0.90)
86.90 (0.97)
−5.66 (1.11) <0.0001 79.17 (0.90)
83.30 (0.99)
−4.13 (1.13) 0.0003
30% Non-college
College/above
79.11 (1.27)
86.70 (1.37)
−7.58 (1.80) <0.0001 77.34 (1.27)
83.05 (1.41)
−5.71 (1.82) 0.0017
40% Non-college
College/above
76.99 (1.74)
86.49 (1.85)
−9.50 (2.51) 0.0002 75.51 (1.74)
82.80 (1.90)
−7.30 (2.55) 0.0042
50% Non-college
College/above
74.87 (2.25)
86.29 (2.34)
−11.41 (3.24) 0.0004 73.67 (2.24)
82.55 (2.41)
−8.88 (3.29) 0.0069
60% Non-college
College/above
72.75 (2.77)
86.09 (2.85)
−13.33 (3.97) 0.0008 71.83 (2.76)
82.30 (2.93)
−10.47 (4.03) 0.0094
*

Estimation based on linear mixed-effect model assessing the effect of interaction between education and percent below poverty at census-tract level on WOMAC pain at 2 years after TKA, using the following assumptions: WOMAC pain at baseline=54; age at surgery=67; BMI=30/kg/m2; sex=female; comorbidities=0; race=black

**

Estimation based on linear mixed-effect model assessing the effect of interaction between race and percent of Medicaid coverage at census-tract level on WOMAC function at 2 years after THA, using the following assumptions: WOMAC function at baseline=54; age at surgery=67; BMI=30/kg/m2; sex=female; comorbidities=0; race=black

Percent below poverty at census-tract level was taken as a continuous variable in this model for prediction purposes