Skip to main content

Table 3 Multivariate regression models of factors predictive of inter-individual in pain sensitivity

From: Gender, variation in opioid receptor genes and sensitivity to experimental pain

Thermal skin pain (N=36)

   

Model

R square

 

B (CI)

Beta

p-value

1

0.232

gender

2.696 (0.987-4.405)

0.482

0.003

2

0.339

gender

2.267 (0.613-3.921)

0.405

0.009

  

OPRK rs6473799 (CC/CT vs TT)

−1.84 (−3.45 ~ −0.22)

−2.315

0.027

Muscle pressure pain (N=31)

   

Model

R square

 

B (CI)

Beta

p-value

1

0.264

OPRK rs7016778 (AA/AT vs TT)

0.149(0.055 ~ 0.244)

0.514

0.003

2

0.427

OPRK rs7016778 (AA/AT vs TT)

0.145 (0.06 ~ 0.23)

0.5

0.002

  

OPRK rs7824175 (CC/CG vs GG)

−0.159(−0.275 ~ −0.044)

−0.405

0.009

  1. B represents the regression coefficient. This is the change in the dependent variable associated with a unit change in the predictor variable.
  2. Beta represents the standardised regression coefficient.
  3. The proportion of variability in the pain tolerance threshold that may be explained by its association with the factors in the regression model is calculated using R2.
  4. When the Bonferroni adjustment for multiple testing was applied, p<0.008 for thermal skin pain and p<0.01 for muscle pressure pain were considered as significant.
Back to article page

Molecular Pain

ISSN: 1744-8069

Contact us