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Table 6 Results of a multiple binary logistic regression model for use of medication for knee pain.

From: How do people with knee osteoarthritis use osteoarthritis pain medications and does this change over time? Data from the Osteoarthritis Initiative

Variable

 

Ever used pain meds

Female

 

1.9 (1.2 - 3.2), P = 0.009

Non-white

 

1.2 (0.6 - 2.2), P = 0.671

Age

 

P = 0.136

 

65 to 74 versus <65

0.8 (0.5 - 1.3), P = 0.320

 

>74 versus <65

0.5 (0.2 - 1.0), P = 0.053

KL grade

 

P = 0.151

 

3 versus 2

1.3 (0.8 - 2.2), P = 0.262

 

4 versus 2

2.0 (1.0 - 4.3), P = 0.061

Pain NRS

 

P = 0.007

 

4 to 7 versus 0 to 3

1.6 (0.9 - 2.6), P = 0.090

 

8 to 10 versus 0 to 3

4.6 (1.8 - 12.0), P = 0.002

Co-morbidity

 

1.8 (1.0 - 3.2), P = 0.066

BMI

 

P = 0.021

 

26 to 30 versus <26

1.3 (0.7 - 2.5), P = 0.360

 

>30 versus <26

2.4 (1.2 - 4.8), P = 0.010

Pain NRS samea or worse

 

1.7 (1.0 - 2.8), P =0.043

Number of patients included

 

806

Overall model significance:

Likelihood ratio test

 

χ 2 =53.4, df = 12, P <0.001

Goodness-of-fit test:

Hosmer & Lemeshow

 

χ2=5.48, df = 8, P = 0.713

  1. aor improved by less than 2 units; BMI, body mass index kg/m2; KL, Kellgren-Lawrence; NRS, numerical rating scale; OTC, over the counter. For categorical variables the joint significance of the combined categories is presented in addition to the results for each category relative to the reference category. Values presented are odds ratio (95% CI) of reporting use of any form of medication for pain, aching or stiffness in either knee at any time during the 36-month follow-up period unless otherwise stated; values in bold type indicate statistical significance.