Complementary and alternative medical therapies for chronic low back pain: What treatments are patients willing to try?

doi:10.1186/1472-6882-4-9

PMC full text:

BMC Complement Altern Med. 2004; 4: 9.

Published online 2004 Jul 19. doi: 10.1186/1472-6882-4-9

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Table 1

Potential Predictor Variables Evaluated in 28 Therapy-Specific Logistic Regression Models

	Dependent Variables for Logistic Regressions
Potential Predictor Variable	High Knowledge of Therapy*	Prior Use of Therapy*	Prior Use of Therapy for Back Pain*	High Expectations of Success of Therapy*	Likelihood of Trying Therapy at No Cost*	Likelihood of Trying Therapy for $10 Co-pay**

Geographic location (Boston vs. Seattle)	X^¶	X	X	X	X	X
Age (65+ vs. < 65)	X	X	X	X	X	X
Gender (female vs. male)	X	X	X	X	X	X
Race (white, non-white)	X	X	X	X	X	X
Education (no college vs. some college)	X	X	X	X	X	X
≥ 5 years since first back pain	X				X	X
≥ 90 days of LBP in last 6 mo.	X				X	X
High symptom bothersomeness (7 – 10) on a 0 – 10 scale	X				X	X
High knowledge of therapy (4 or 5) on a 1 – 5 scale				X	X	X
Prior use of therapy				X	X	X
Prior use of therapy for back pain				X	X	X
High expectations of therapy (7 – 10) on a 0 – 10 scale					X	X
Medication usage in past week					X	X
Prior harm from therapy					X	X

* Separate models were done for each of the five therapies (acupuncture, chiropractic, massage, meditation, t'ai chi) ** Separate models were done for acupuncture, chiropractic, and massage. ^¶An X indicates that a particular potential predictor variable was evaluated in a model with the specific dependent variable.