Depression Predicts Chronic Pain Interference in Racially Diverse, Income-Disadvantaged Patients

Author:

Nephew Benjamin C1ORCID,Incollingo Rodriguez Angela C2ORCID,Melican Veronica1,Polcari Justin J1,Nippert Kathryn E2,Rashkovskii Mikhail1,Linnell Lilly-Beth1,Hu Ruofan3,Ruiz Carolina3,King Jean A1,Gardiner Paula4

Affiliation:

1. Department of Biology and Biotechnology, Worcester Polytechnic Institute, Worcester, Massachusetts, USA

2. Department of Social Science and Policy Studies, Worcester Polytechnic Institute, Worcester, Massachusetts, USA

3. Computer Science Department, Worcester Polytechnic Institute, Worcester, Massachusetts, USA

4. Department of Family Medicine and Community Health, UMass Medical School, Worcester, Massachusetts, USA

Abstract

Abstract Background Chronic pain is one of the most common reason adults seek medical care in the United States, with prevalence estimates ranging from 11% to 40%. Mindfulness meditation has been associated with significant improvements in pain, depression, physical and mental health, sleep, and overall quality of life. Group medical visits are increasingly common and are effective at treating myriad illnesses, including chronic pain. Integrative Medical Group Visits (IMGV) combine mindfulness techniques, evidence based integrative medicine, and medical group visits and can be used as adjuncts to medications, particularly in diverse underserved populations with limited access to non-pharmacological therapies. Objective and Design The objective of the present study was to use a blended analytical approach of machine learning and regression analyses to evaluate the potential relationship between depression and chronic pain in data from a randomized clinical trial of IMGV in diverse, income-disadvantaged patients suffering from chronic pain and depression. Methods The analytical approach used machine learning to assess the predictive relationship between depression and pain and identify and select key mediators, which were then assessed with regression analyses. It was hypothesized that depression would predict the pain outcomes of average pain, pain severity, and pain interference. Results Our analyses identified and characterized a predictive relationship between depression and chronic pain interference. This prediction was mediated by high perceived stress, low pain self-efficacy, and poor sleep quality, potential targets for attenuating the adverse effects of depression on functional outcomes. Conclusions In the context of the associated clinical trial and similar interventions, these insights may inform future treatment optimization, targeting, and application efforts in racialized, income-disadvantaged populations, demographics often neglected in studies of chronic pain.

Funder

Patient-Centered Outcomes Research Institute

Board of Governors or Methodology Committee

Publisher

Oxford University Press (OUP)

Subject

Anesthesiology and Pain Medicine,Neurology (clinical),General Medicine

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