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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.