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Table 2 Binary logistic regression analysis using type 2 diabetes as dependent variable

From: Linking a role of lncRNAs (long non-coding RNAs) with insulin resistance, accelerated senescence, and inflammation in patients with type 2 diabetes

  Unadjusted Adjusted for age and BMI Adjusted for HOMA-IR Adjusted for senescence markers (GLB, P53, P21, P16, and TL) Adjusted for inflammatory markers (TNF-α, IL6, MCP1, IL1-β, and SOCS3)
β p β p β p β p β p
PLUTO 1.721 0.005 1.827 0.003 23.673 0.063 1.848 0.210 2.204 0.025
ENST00000550337.1 2.023 0.004 1.925 0.013 2.984 0.132 33.73 0.184 4.026 0.038
CDKN2BAS1 3.173 0.006 4.925 0.002 4.188 0.068 2.741 0.100 2.995 0.044
lincRNA-p21 1.867 0.021 1.970 0.033 3.492 0.096 2.283 0.311 6.395 0.013
HOTAIR 4.348 0.001 5.256 0.001 2.556 0.342 1.651 0.524 8.125 0.015
GAS5 10.642 0.001 14.054 0.001 20.820 0.226 22.512 0.128 12.214 0.069
XIST 0.388 0.003 3.824 0.004 3.677 0.145 2.318 0.386 3.166 0.024
PANDA 7.960 0.003 15.737 0.002 30.052 0.041 27.726 0.151 3.548 0.253
NBR2 2.045 0.041 1.728 0.159 1.496 0.522 1.869 0.443 2.675 0.141
RNCR3 1.464 0.144 1.650 0.065 1.795 0.394 1.582 0.410 1.740 0.225
MIAT 6.591 0.002 5.293 0.012 8.383 0.235 8.753 0.181 5.388 0.118
MEG3 5.669 0.013 6.444 0.017 17.060 0.141 12.830 0.063 57.903 0.023
LET 7.116 0.014 5.806 0.036 6.736 0.068 4.399 0.534 2.079 0.584
MALAT1 9.945 0.008 5.156 0.046 4.712 0.193 12.858 0.343 33.033 0.086
GM4419 2.468 0.104 2.142 0.242 3.254 0.232 4.832 0.293 1.937 0.433
SALRNA1 0.161 0.013 0.114 0.009 0.029 0.127 0.072 0.057 0.092 0.100
THRIL 0.047 0.001 0.529 0.001 0.013 0.084 0.063 0.139 0.333 0.271