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. Author manuscript; available in PMC: 2020 Jul 20.
Published in final edited form as: J Urol. 2018 Jun 5;200(5):1107–1113. doi: 10.1016/j.juro.2018.06.002

Table 2.

List of linear mixed effects models (for continuous variables) and logistic mixed effects models (for dichotomous variables). All models were adjusted for age and sex. Bolded and red values indicate statistical significance (p < 0.05). PinQ = Pediatric Incontinence Quality of Life questionnaire, BBD = bowel and bladder dysfunction, QmaxFI = maximum flow index, QavgFI = mean flow index

Linear mixed-effects models
Estimate (increase in 100 units of pons volume) P value (adjusted for age and sex) Observations Unique patients

Post-void bladder volume −0.077 0.972 64 24
Functional bladder capacity 3.341 0.263 47 24
Maximum urine flow index (QmaxFI) 0.005 0.280 56 22
Mean urine flow index (QavgFI) −0.003 0.577 43 22
Voids per day −0.026 0.664 27 15
Bowel movements per day 0.021 0.186 16 10
Bristol stool score −0.002 0.868 16 10
PinQ score −0.442 0.011 40 20
Toronto BBD score −0.218 0.062 41 21
Compass-31 score −0.187 0.254 22 16
Hemoglobin A1c −0.024 0.219 96 25

Logistic mixed-effect models
Odds ratio (increase in 100 units of total pons volume) P value (adjusted for age and sex) Observations Unique patients

Increased post-void residual 0.958 0.048 64 24
Disordered uroflowmetry 0.985 0.614 56 22
Subjective urinary frequency * 0.902 0.219 21 11
Subjective urinary urgency 0.873 0.089 17 10
Subjective urinary incontinence 1.055 0.646 17 10
Diagnosis of diabetes insipidus 0.208 0.046 97 25
Objective polyuria on voiding diary 0.913 0.148 30 15
*

Models devolved into fixed effects models