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      Endurance and avoidance response patterns in pain patients: Application of action control theory in pain research

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          Abstract

          Background

          Identifying pain-related response patterns and understanding functional mechanisms of symptom formation and recovery are important for improving treatment.

          Objectives

          We aimed to replicate pain-related avoidance-endurance response patterns associated with the Fear-Avoidance Model, and its extension, the Avoidance-Endurance Model, and examined their differences in secondary measures of stress, action control (i.e., dispositional action vs. state orientation), coping, and health.

          Methods

          Latent profile analysis (LPA) was conducted on self-report data from 536 patients with chronic non-specific low back pain at the beginning of an inpatient rehabilitation program. Measures of stress (i.e., pain, life stress) and action control were analyzed as covariates regarding their influence on the formation of different pain response profiles. Measures of coping and health were examined as dependent variables.

          Results

          Partially in line with our assumptions, we found three pain response profiles of distress-avoidance, eustress-endurance, and low-endurance responses that are depending on the level of perceived stress and action control. Distress-avoidance responders emerged as the most burdened, dysfunctional patient group concerning measures of stress, action control, maladaptive coping, and health. Eustress-endurance responders showed one of the highest levels of action versus state orientation, as well as the highest levels of adaptive coping and physical activity. Low-endurance responders reported lower levels of stress as well as equal levels of action versus state orientation, maladaptive coping, and health compared to eustress-endurance responders; however, equally low levels of adaptive coping and physical activity compared to distress-avoidance responders.

          Conclusions

          Apart from the partially supported assumptions of the Fear-Avoidance and Avoidance-Endurance Model, perceived stress and dispositional action versus state orientation may play a crucial role in the formation of pain-related avoidance-endurance response patterns that vary in degree of adaptiveness. Results suggest tailoring interventions based on behavioral and functional analysis of pain responses in order to more effectively improve patients quality of life.

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          Most cited references117

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          Stress, Appraisal, and Coping

          <p><b>The reissue of a classic work, now with a foreword by Daniel Goleman!</b><p>Here is a monumental work that continues in the tradition pioneered by co-author Richard Lazarus in his classic book <i>Psychological Stress and the Coping Process</i>. Dr. Lazarus and his collaborator, Dr. Susan Folkman, present here a detailed theory of psychological stress, building on the concepts of cognitive appraisal and coping which have become major themes of theory and investigation.</p> <p>As an integrative theoretical analysis, this volume pulls together two decades of research and thought on issues in behavioral medicine, emotion, stress management, treatment, and life span development. A selective review of the most pertinent literature is included in each chapter. The total reference listing for the book extends to 60 pages.</p> <p>This work is necessarily multidisciplinary, reflecting the many dimensions of stress-related problems and their situation within a complex social context. While the emphasis is on psychological aspects of stress, the book is oriented towards professionals in various disciplines, as well as advanced students and educated laypersons. The intended audience ranges from psychiatrists, clinical psychologists, nurses, and social workers to sociologists, anthropologists, medical researchers, and physiologists.</p>
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            A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity.

            Regression methods were used to select and score 12 items from the Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36) to reproduce the Physical Component Summary and Mental Component Summary scales in the general US population (n=2,333). The resulting 12-item short-form (SF-12) achieved multiple R squares of 0.911 and 0.918 in predictions of the SF-36 Physical Component Summary and SF-36 Mental Component Summary scores, respectively. Scoring algorithms from the general population used to score 12-item versions of the two components (Physical Components Summary and Mental Component Summary) achieved R squares of 0.905 with the SF-36 Physical Component Summary and 0.938 with SF-36 Mental Component Summary when cross-validated in the Medical Outcomes Study. Test-retest (2-week)correlations of 0.89 and 0.76 were observed for the 12-item Physical Component Summary and the 12-item Mental Component Summary, respectively, in the general US population (n=232). Twenty cross-sectional and longitudinal tests of empirical validity previously published for the 36-item short-form scales and summary measures were replicated for the 12-item Physical Component Summary and the 12-item Mental Component Summary, including comparisons between patient groups known to differ or to change in terms of the presence and seriousness of physical and mental conditions, acute symptoms, age and aging, self-reported 1-year changes in health, and recovery for depression. In 14 validity tests involving physical criteria, relative validity estimates for the 12-item Physical Component Summary ranged from 0.43 to 0.93 (median=0.67) in comparison with the best 36-item short-form scale. Relative validity estimates for the 12-item Mental Component Summary in 6 tests involving mental criteria ranged from 0.60 to 107 (median=0.97) in relation to the best 36-item short-form scale. Average scores for the 2 summary measures, and those for most scales in the 8-scale profile based on the 12-item short-form, closely mirrored those for the 36-item short-form, although standard errors were nearly always larger for the 12-item short-form.
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              Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: ResourcesRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: InvestigationRole: ResourcesRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: Project administrationRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                25 March 2021
                2021
                : 16
                : 3
                : e0248875
                Affiliations
                [1 ] Department I—Psychology, University of Trier, Trier, Germany
                [2 ] Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
                [3 ] Department of Sport Science and Sport, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
                [4 ] Department of Psychology, University of Osnabrück, Osnabrück, Germany
                [5 ] Section of Medical Psychology and Psychotherapy, University of Würzburg, Würzburg, Germany
                Unviersity of Sheffield, UNITED KINGDOM
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-6770-7719
                https://orcid.org/0000-0002-4713-6664
                Article
                PONE-D-20-22937
                10.1371/journal.pone.0248875
                7993813
                33765020
                30c7c010-a9d7-4f91-b508-fc4037812d0b
                © 2021 Buchmann et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 23 July 2020
                : 6 March 2021
                Page count
                Figures: 2, Tables: 5, Pages: 25
                Funding
                Funded by: Deutsche Rentenversicherung Bund
                Award ID: Grant number: 0421-FSCP-0529
                Award Recipient :
                The data acquisition for this project was funded by the German Pension Insurance (Deutsche Rentenversicherung Bund, s.a. http://forschung.deutsche-rentenversicherung.de/ForschPortalWeb/) and the Federal Ministry of Education and Research (BMBF) within the research priority “Chronic diseases and patient orientation” (Grant number: 0421-FSCP-0529). The publication was funded by the Open Access Fund of Universität Trier and the German Research Foundation (DFG) within the Open Access Publishing funding programme. The funders had no role in study design of this secondary study, nor data collection and analysis, decision to publish, nor preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Clinical Medicine
                Signs and Symptoms
                Pain
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Psychological Stress
                Biology and Life Sciences
                Psychology
                Psychological Stress
                Social Sciences
                Psychology
                Psychological Stress
                Medicine and Health Sciences
                Public and Occupational Health
                Physical Activity
                Biology and Life Sciences
                Psychology
                Emotions
                Social Sciences
                Psychology
                Emotions
                Medicine and Health Sciences
                Clinical Medicine
                Signs and Symptoms
                Pain
                Lower Back Pain
                Biology and Life Sciences
                Psychology
                Emotions
                Fear
                Social Sciences
                Psychology
                Emotions
                Fear
                Engineering and Technology
                Industrial Engineering
                Control Engineering
                Control Theory
                Computer and Information Sciences
                Systems Science
                Control Theory
                Physical Sciences
                Mathematics
                Systems Science
                Control Theory
                Medicine and Health Sciences
                Health Care
                Patients
                Custom metadata
                The relevant study data are available at: https://zenodo.org/record/4396288, doi: 10.5281/zenodo.4396288.

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