6
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      Smoking increases risk of pain chronification through shared corticostriatal circuitry : Smoking Increases Risk of Pain Chronification

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Smoking is associated with increased incidence of chronic pain. However, the evidence is cross-sectional in nature, and underlying mechanisms remain unclear. In a longitudinal observational study, we examined the relationship between smoking, transition to chronic pain, and brain physiology. In 160 subjects with subacute back pain (SBP: back pain lasting 4-12 weeks, and no prior back pain [BP] for at least 1 year) pain characteristics, smoking status, and brain functional properties were measured repeatedly over 1 year. Sixty-eight completed the study, subdivided into recovering (SBPr, n = 31) and persisting (SBPp, n = 37), based on >20% decrease in BP over the year. Thirty-two chronic back pain (CBP: duration > 5 years) and 35 healthy controls were similarly monitored. Smoking prevalence was higher in SBP and CBP but not related to intensity of BP. In SBP, smoking status at baseline was predictive of persistence of BP 1 year from symptom onset (differentiating SBPp and SBPr with 0.62 accuracy). Smoking status combined with affective properties of pain and medication use improved prediction accuracy (0.82). Mediation analysis indicated the prediction of BP persistence by smoking was largely due to synchrony of fMRI activity between two brain areas (nucleus accumbens and medial prefrontal cortex, NAc-mPFC). In SBP or CBP who ceased smoking strength of NAc-mPFC decreased from precessation to postcessation of smoking. We conclude that smoking increases risk of transitioning to CBP, an effect mediated by corticostriatal circuitry involved in addictive behavior and motivated learning.

          Related collections

          Most cited references50

          • Record: found
          • Abstract: not found
          • Book: not found

          Applied Logistic Regression

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Confidence Limits for the Indirect Effect: Distribution of the Product and Resampling Methods.

            The most commonly used method to test an indirect effect is to divide the estimate of the indirect effect by its standard error and compare the resulting z statistic with a critical value from the standard normal distribution. Confidence limits for the indirect effect are also typically based on critical values from the standard normal distribution. This article uses a simulation study to demonstrate that confidence limits are imbalanced because the distribution of the indirect effect is normal only in special cases. Two alternatives for improving the performance of confidence limits for the indirect effect are evaluated: (a) a method based on the distribution of the product of two normal random variables, and (b) resampling methods. In Study 1, confidence limits based on the distribution of the product are more accurate than methods based on an assumed normal distribution but confidence limits are still imbalanced. Study 2 demonstrates that more accurate confidence limits are obtained using resampling methods, with the bias-corrected bootstrap the best method overall.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              The positive and negative affect schedule (PANAS): construct validity, measurement properties and normative data in a large non-clinical sample.

              To evaluate the reliability and validity of the PANAS (Watson, Clark, & Tellegen, 1988b) and provide normative data. Cross-sectional and correlational. The PANAS was administered to a non-clinical sample, broadly representative of the general adult UK population (N = 1,003). Competing models of the latent structure of the PANAS were evaluated using confirmatory factor analysis. Regression and correlational analysis were used to determine the influence of demographic variables on PANAS scores as well as the relationship between the PANAS with measures of depression and anxiety (the HADS and the DASS). The best-fitting model (robust comparative fit index = .94) of the latent structure of the PANAS consisted of two correlated factors corresponding to the PA and NA scales, and permitted correlated error between items drawn from the same mood subcategories (Zevon & Tellegen, 1982). Demographic variables had only very modest influences on PANAS scores and the PANAS exhibited measurement invariance across demographic subgroups. The reliability of the PANAS was high, and the pattern of relationships between the PANAS and the DASS and HADS were consistent with tripartite theory. The PANAS is a reliable and valid measure of the constructs it was intended to assess, although the hypothesis of complete independence between PA and NA must be rejected. The utility of this measure is enhanced by the provision of large-scale normative data. Copyright 2004 The British Psychological Society
                Bookmark

                Author and article information

                Journal
                Human Brain Mapping
                Hum. Brain Mapp.
                Wiley
                10659471
                February 2015
                February 2015
                October 12 2014
                : 36
                : 2
                : 683-694
                Affiliations
                [1 ]Department of Physiology; Northwestern University, Feinberg School of Medicine; Chicago Illinois
                [2 ]Department of Medical Social Sciences; Northwestern University, Feinberg School of Medicine; Chicago Illinois
                [3 ]Department of Anesthesia; Northwestern University, Feinberg School of Medicine; Chicago Illinois
                [4 ]Department of Physical Medicine and Rehabilitation; Northwestern University, Feinberg School of Medicine; Chicago Illinois
                Article
                10.1002/hbm.22656
                4893785
                25307796
                0b77ed32-22d4-45dd-8115-620a76782ca1
                © 2014

                http://doi.wiley.com/10.1002/tdm_license_1.1

                History

                Comments

                Comment on this article