Literature DB >> 20735749

Psychiatric disorders and risk of transition to chronicity in men with first onset low back pain.

William S Shaw1, Adrienne J Means-Christensen, Mark A Slater, John S Webster, Thomas L Patterson, Igor Grant, Steven R Garfin, Dennis R Wahlgren, Shetal Patel, J Hampton Atkinson.   

Abstract

OBJECTIVE: To assess whether pre-existing psychiatric diagnoses increase the likelihood of transitioning from sub-acute to chronic back pain.
DESIGN: Prospective cohort study.
METHODS: Men (N = 140) experiencing a first onset of low back pain (LBP) were examined for lifetime psychiatric disorders approximately 8 weeks post pain-onset using the Diagnostic Interview Schedule (DIS-III-R), then re-evaluated at 6 months after pain onset to determine who did or did not progress to pain chronicity. OUTCOME MEASURE: Transition to chronic pain and disability was based on 6-month self-report measures of pain intensity and perceived disability.
RESULTS: Men with a pre-pain lifetime diagnosis of major depressive disorder had 5 times greater risk of transitioning to chronic LBP (odds ratio [OR] = 4.99; 95% confidence interval [CI] 1.49-16.76). Increased risk was also associated with a pre-pain lifetime diagnosis of generalized anxiety (OR = 2.45; 95% CI 1.06-5.68), post-traumatic stress (OR = 3.23; 95% CI 1.11-9.44), and with current nicotine dependence (OR = 2.49; 95% CI 1.15-5.40). There were no statistically significant effects for abuse or dependence of alcohol or other psychoactive substances. DISCUSSION: Lifetime history of major depression or a major anxiety disorder may represent potential psychosocial "yellow flags" for the transition to chronicity in men with first-onset LBP. Screening for lifetime depressive or anxiety disorders may identify individuals at higher risk, who may benefit from referral for more intensive rehabilitation. Wiley Periodicals, Inc.

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Year:  2010        PMID: 20735749     DOI: 10.1111/j.1526-4637.2010.00934.x

Source DB:  PubMed          Journal:  Pain Med        ISSN: 1526-2375            Impact factor:   3.750


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