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. 2020 Nov 6;37(23):2482–2492. doi: 10.1089/neu.2019.6933

Table 4.

Generalized Linear Models for NSI Scores

 
NSI total score
NSI total score
NSI somatic
Predictors Estimates SE p Estimates SE p Estimates SE p
(Intercept) 33.31 7.04 <0.001 32.98 8.21 <0.001 6.74 2.56 0.010
Age -0.09 0.17 0.601 -0.08 0.16 0.621 0.01 0.05 0.774
Gender -2.93 4.29 0.496 -2.66 4.03 0.511 -1.24 1.26 0.328
Total number of TBIs 1.72 0.96 0.076 1.13 0.92 0.219 0.43 0.29 0.136
Years since last TBI -0.13 0.23 0.576 -0.11 0.21 0.595 -0.06 0.07 0.398
hsa-miR-139-5p       1.78 0.49 <0.001 0.62 0.15 <0.001
hsa-miR-103a-3p       -1.24 0.37 0.001 -0.34 0.12 0.004
Pseudo R2 0.05 0.183 0.210
 
NSI affective
NSI cognitive
NSI vestibular
Predictors Estimates SE p Estimates SE p Estimates SE p
(Intercept)
14.06
3.03
<0.001
7.27
1.96
<0.001
3.37
1.24
0.007
Age
-0.06
0.06
0.301
-0.02
0.04
0.529
-0.01
0.02
0.804
Gender
-0.45
1.49
0.762
-0.52
0.97
0.591
-0.60
0.61
0.326
Total number of TBIs
0.08
0.34
0.809
0.27
0.22
0.222
0.23
0.14
0.098
Years since last TBI
-0.04
0.08
0.641
-0.02
0.05
0.627
0.01
0.03
0.846
hsa-miR-139-5p
0.54
0.18
0.003
0.25
0.12
0.031
0.21
0.07
0.005
hsa-miR-103a-3p
-0.40
0.13
0.003
-0.22
0.09
0.012
-0.20
0.05
<0.001
Pseudo R2 0.139 0.116 0.182

Generalized linear models including demographics (age and gender) and TBI characteristics (Number of TBIs and time since last TBI) were built to further assess relationships between levels of the miRNAs and NSI Total scores or scores of NSI factors (i.e. Somatic, Affective, Cognitive, Vestibular). Only miRNAs that were significantly correlated with NSI total scores or scores of NSI factors were evaluated. Table represents models including both hsa-miR-103a-3p and hsa-miR-139-5p. In addition, a model including demographics and TBI characteristics, but not miRNA levels, is also shown. Results were shown for the predictors included in each model. p values < 0.05 are bold.

NSI, Neurobehavioral Symptom Inventory; SE, standard error; TBI, traumatic brain injury.