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Table 3 Factors associated with strain, strain rate, and strain-time integral using multivariable linear regression

From: Mechanical strain to maxillary incisors during direct laryngoscopy

 

Estimate

95% Confidence Interval

p-value

Log Strain

 Male

−0.258

−0.415, −0.101

0.001

 Position

  Faculty

0

  

  CRNAa

−0.281

−0.490, −0.072

0.009

  Resident

0.163

−0.043, 0.368

0.122

 Experience (years)b

0.010

−0.002, 0.021

0.103

 Blade

  Mactinosh

0

  

  Miller

−0.107

−0.301, 0.087

0.282

  Macintosh APP

0.013

−0.181, 0.207

0.896

  Miller APP

−0.218

−0.413, −0.024

0.028

Log strain rate

 Height (cm)

−0.023

−0.042, −0.003

0.024

 Blade

  Macintosh

0

  

  Miller

−0.179

−0.385, 0.027

0.089

  Macintosh APP

0.283

−0.489, −0.077

0.007

  Miller APP

−0.399

−0.605, −0.194

<0.001

Log Strain-time Integral

 Male

−0.423

−0.649, −0.197

<.001

 Position

  Faculty

0

  

  CRNAa

−0.268

−0.570, 0.033

0.082

  Resident

0.161

−0.162, 0.449

0.273

 Experience (years)

0.015

−0.001, 0.031

0.073

 Blade Preference

  Macintosh

0

  

  Miller

0.465

0.094, 0.836

0.015

  No preference

−0.046

−0.287, 0.196

0.712

  1. Table shows the adjusted effect of each item on the amount of log strain, log strain rate, and log strain-time integral using Akaike Information Criteria and multivariable linear regression. For categorical variables, the estimate is the amount that variable increase (or decreases) the log strain, log strain rate, and log strain-time integral by. For continuous variables, the estimate is the amount that one unit of that variable will increase (or decrease) log strain, log strain rate, and log strain-time integral by
  2. aincludes one 2nd year nurse anesthesia student
  3. bExperience (years) was calculated from the start of clinical anesthesiology training for resident and faculty anesthesiologists and the start of clinic nurse anesthesia school for certified registered nurse anesthetists