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. Author manuscript; available in PMC: 2024 Feb 1.
Published in final edited form as: J Pain. 2022 Oct 12;24(2):345–355. doi: 10.1016/j.jpain.2022.09.019

Table 3.

Pain Intensity on BZD Dependence Severity, Past-Month BZD Use Frequency, and Likelihood of BZD Misuse

Linear Regressions
BZD Dependence Severity Past-Month BZD Use Frequency
Variable β t p β t p
 Sex .063 1.356 .176 −.031 −.559 .577
 Age −.064 −1.361 .175 −.077 −1.360 .175
 Race .073 1.554 .121 −.181 −3.220 .001**
 Education .212 4.480 < .001** −.165 −2.902 .004**
 Pain intensitya .515 10.717 < .001** .141 2.440 .015*
R2 .360 .076
 ΔR2 .245 .018
F for ΔR2 114.863** 5.955*
Logistic Regression: Likelihood of BZD Misuse
Variable B SE AOR 95% CI p
Sex −1.082 .383 .339 .160 – .718 .005**
Age −.028 .016 .973 .943–.1.004 .083
Race −.484 .453 .616 .254–1.497 .285
Education .753 .170 2.123 1.522–2.961 < .001**
Pain intensity a .185 .043 1.204 1.107–1.309 < .001**

Note: N = 306. Linear regression: Results shown are from the second step of each linear regression model; β = standardized beta weights. Logistic regression: Results shown are from the second step of the logistic regression model; AOR = adjusted odds ratio; Sex: Reference group = female; Race: Reference group = White;

a

Graded Chronic Pain Scale – Characteristic Pain Intensity;

*

p < .05,

**

p < .01