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. 2015 Nov 26;2015:929246. doi: 10.1155/2015/929246

Table 7.

Linear regression of standardized immunologic and steroidal variables.

Sex of subjects and independent variables in pairs Subjects in models Dependent variables in pairs of linear regression models
IL-1 beta IL-1ra Adione Test Cortisol
Beta p Beta p Beta p Beta p Beta p
Female subjects
Age Pre-RA −0.390 0.037 0.349 0.115 −0.538 0.002 0.054 0.799 0.027 0.913
CN −0.182 0.028 0.052 0.528 −0.350 <0.001 −0.002 0.983 0.160 0.107
IL-1 beta Pre-RA 0.282 0.066 −0.004 0.984 0.425 0.029 0.221 0.341
CN 0.539 <0.001 0.004 0.959 −0.104 0.204 0.266 0.009
IL-1ra Pre-RA 0.385 0.066 0.233 0.126 −0.291 0.085 −0.069 0.730
CN 0.531 <0.001 0.152 0.034 0.047 0.573 −0.243 0.017
Androstenedione Pre-RA −0.004 0.984 0.327 0.126 0.203 0.212 0.091 0.524
CN 0.005 0.959 0.213 0.034 0.485 <0.001 0.092 0.122
Testosterone Pre-RA 0.350 0.029 −0.328 0.085 0.253 0.212 −0.121 0.446
CN −0.112 0.204 0.049 0.573 0.638 <0.001 −0.031 0.650
Cortisol Pre-RA 0.137 0.341 −0.058 0.730 0.151 0.524 −0.161 0.446
CN 0.184 0.009 −0.166 0.017 0.188 0.122 −0.048 0.650
Variances explained Pre-RA 0.420 0.208 0.436 0.296 0.063
CN 0.359 0.369 0.549 0.406 0.075

Male subjects
Age Pre-RA 0.254 0.295 −0.355 0.173 −0.386 0.063 0.027 0.913 0.132 0.623
CN −0.130 0.303 −0.127 0.319 −0.177 0.058 0.160 0.107 0.128 0.193
IL-1 beta Pre-RA −0.162 0.545 0.381 0.131 −0.046 0.895 0.320 0.306
CN −0.023 0.854 0.045 0.630 −0.122 0.304 −0.055 0.572
IL-1ra Pre-RA −0.193 0.545 −0.337 0.145 −0.243 0.436 0.309 0.279
CN −0.023 0.854 −0.013 0.886 0.098 0.405 −0.018 0.853
Androstenedione Pre-RA 0.472 0.131 −0.498 0.145 0.089 0.694 0.202 0.401
CN 0.080 0.630 −0.024 0.886 0.199 0.035 0.599 <0.001
Testosterone Pre-RA −0.033 0.895 −0.212 0.436 0.150 0.694 0.428 0.160
CN −0.131 0.304 0.107 0.405 0.329 0.035 −0.051 0.736
Cortisol Pre-RA 0.271 0.306 0.313 0.279 0.294 0.401 0.369 0.160
CN −0.089 0.572 −0.029 0.853 0.656 <0.001 −0.034 0.736
Variances explained Pre-RA 0.535 0.445 0.624 0.363 0.451
CN 0.041 0.027 0.462 0.112 0.411

Bivariate correlations of paired variables sequentially encountered in the first review of linear regressions were entered in the upper panel and the alternative correlations of the respective pairs were entered in the lower panel; all 10 paired correlational p values are equal in the upper and lower panels.

Model sample sizes are female pre-RA = 36; CN = 144; male pre-RA = 18; and CN = 72.

Variances (R square) explained for the column variables as dependent outcomes in the 20 sex and subject models.