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. 2019;39(1):69–75.

Table 3.

Regression Model Summary for Dependent Variables One-year Following Shoulder Arthroplasty

Dependent variables ASES: R R2 Adj. R2 SE F-statistics Sig
Pain .25a .06 .03 2.3 1.7 NS
Function: Model 1
Demographics+ comorbidities .28a .08 .05 7.3 2.3 .05
Function: Model 1
Demographics+ comorbidities + pain at one-year .56b .32 .28 6.3 10 .001
Change in function .38b .15 .11 6.8 3.9 .0001
SF-12:
PCS .37a .14 .09 10.5 3.0 .01
Change in PCS .34a .12 .07 10 2.5 .033
MCS .31a .10 .05 9.0 2.0 NS

Dependent variables at one-year

aPredictors: (constant), age, sex, hypertension, diabetes, depression

bPredictors: (constant), pain at one-year, age, sex, hypertension, diabetes, depression

Change in scores was calculated by subtracting scores at one-year follow-up visit from baseline scores

Function Model 1 predictors: age, sex, diabetes, hypertension, and depression.

Function Model 2 predictors: pain at one-year, age, sex, diabetes, hypertension, and depression

ASES: American Shoulder and Elbow Surgeons, SF-12: Short Form-12 survey, PCS: physical component summary, MCS: mental component summary, NS: nonsignificant.