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dc.contributor.authorNephew, Benjamin C.
dc.contributor.authorIncollingo Rodriguez, Angela C.
dc.contributor.authorMelican, Veronica
dc.contributor.authorPolcari, Justin J.
dc.contributor.authorNippert, Kathryn E.
dc.contributor.authorRashkovskii, Mikhail
dc.contributor.authorLinnell, Lilly-Beth
dc.contributor.authorHu, Ruofan
dc.contributor.authorRuiz, Carolina
dc.contributor.authorKing, Jean A.
dc.contributor.authorGardiner, Paula
dc.date2022-08-11T08:08:34.000
dc.date.accessioned2022-08-23T15:59:42Z
dc.date.available2022-08-23T15:59:42Z
dc.date.issued2021-12-15
dc.date.submitted2022-05-05
dc.identifier.citation<p>Nephew BC, Incollingo Rodriguez AC, Melican V, Polcari JJ, Nippert KE, Rashkovskii M, Linnell LB, Hu R, Ruiz C, King JA, Gardiner P. Depression predicts chronic pain interference in racially diverse, income-disadvantaged patients. Pain Med. 2021 Dec 15:pnab342. doi: 10.1093/pm/pnab342. Epub ahead of print. PMID: 34908146. <a href="https://doi.org/10.1093/pm/pnab342">Link to article on publisher's site</a></p>
dc.identifier.issn1526-2375 (Linking)
dc.identifier.doi10.1093/pm/pnab342
dc.identifier.pmid34908146
dc.identifier.urihttp://hdl.handle.net/20.500.14038/30730
dc.description<p>This article is based on a previously available preprint in medRxiv, https://doi.org/10.1101/2021.06.17.21259108.</p>
dc.description.abstractBACKGROUND: Chronic pain is one of the most common reasons adults seek medical care in the US, 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. TRIAL REGISTRATION: NCT from clinicaltrials.gov: 02262377. American Academy of Pain Medicine.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=34908146&dopt=Abstract">Link to Article in PubMed</a></p>
dc.relation.urlhttps://doi.org/10.1093/pm/pnab342
dc.subjectDepression
dc.subjectChronic Pain
dc.subjectStress
dc.subjectSelf-Efficacy
dc.subjectSleep
dc.subjectPain Interference
dc.subjectdepressive disorders
dc.subjectincome
dc.subjectpain
dc.subjectself efficacy
dc.subjectsleep
dc.subjectstress
dc.subjectchronic pain
dc.subjectsleep quality
dc.subjectracial/ethnic diversity
dc.subjectArtificial Intelligence and Robotics
dc.subjectEpidemiology
dc.subjectHealth Psychology
dc.subjectIntegrative Medicine
dc.subjectMovement and Mind-Body Therapies
dc.subjectPain Management
dc.subjectPsychiatry and Psychology
dc.subjectRace and Ethnicity
dc.titleDepression predicts chronic pain interference in racially diverse, income-disadvantaged patients
dc.typeJournal Article
dc.source.journaltitlePain medicine (Malden, Mass.)
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/faculty_pubs/2201
dc.identifier.contextkey29018208
html.description.abstract<p>BACKGROUND: Chronic pain is one of the most common reasons adults seek medical care in the US, 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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>TRIAL REGISTRATION: NCT from clinicaltrials.gov: 02262377. American Academy of Pain Medicine.</p>
dc.identifier.submissionpathfaculty_pubs/2201
dc.contributor.departmentCenter for Integrated Primary Care
dc.contributor.departmentDepartment of Family Medicine and Community Health


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