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. 2022 Mar 2;23:195. doi: 10.1186/s12891-022-05133-y

Table 5.

Multiple linear regression for the assessment of OA risk factors on the levels of the three serum biomarkers

Variable sCOMPa sHAb sPIICPc
Est SE t p-value Est SE t p-value Est SE t p-value
(Constant) −14.73 103.4 0.143 0.8868 35.95 42.51 0.8458 0.3987 695.4 136.2 5.106 < 0.0001
Age (per year) 2.865 1.421 2.017 0.0450 1.773 0.584 3.035 0.0027 −0.622 1.872 0.3323 0.7400
BMI (per 1 kg/m2) 4.191 2.502 1.675 0.0955 − 1.663 1.029 1.616 0.1077 1.228 3.297 0.3725 0.7099
Gender −30.76 26.32 1.168 0.2440 −4.817 10.83 0.445 0.6569 −62.96 34.69 1.815 0.0710
KL grade 15.08 14.36 1.050 0.2950 2.124 5.907 0.359 0.7195 − 163.5 18.92 8.639 < 0.0001
Resting VAS 0.843 6.409 0.132 0.8955 −2.250 2.636 0.8535 0.3944 0.321 8.445 0.0381 0.9697
Walking VAS −7.532 5.840 1.290 0.1986 −0.615 2.402 0.2561 0.7981 2.459 7.695 0.3195 0.7496

Previous knee

Injury

20.49 24.21 0.846 0.3984 5.480 9.956 0.5504 0.5826 6.553 31.90 0.2054 0.8374

Occupational

Risk

78.31 25.64 3.054 0.0026 21.30 10.54 2.020 0.0447 26.83 33.78 0.7941 0.4281
Familial OA 1.902 22.94 0.083 0.9340 −2.966 9.436 0.3144 0.7536 −10.28 30.23 0.3402 0.7341

p-values < 0.05 are consider significant and indicated in bold

a R2 = 0.153, model ANOVA: F = 4.05, p < 0.0001

b R2 = 0.112, model ANOVA: F = 2.84, p < 0.001

cR2 = 0.560, model ANOVA: F = 26.81, p < 0.0001