Association of Fatigue Severity With Maladaptive Coping in Multiple Sclerosis: A Data-Driven Psychodynamic Perspective
Fatigue in persons with multiple sclerosis (PwMS) is severely disabling. However, the underlying mechanisms remain incompletely understood. Recent research suggests a link to early childhood adversities and psychological trait variables. In line with these studies, this paper took a psychodynamic pe...
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Frontiers Media S.A.
2021-04-01
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Series: | Frontiers in Neurology |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2021.652177/full |
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Article |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gesa E. A. Pust Gesa E. A. Pust Jennifer Randerath Jennifer Randerath Lutz Goetzmann Roland Weierstall Michael Korzinski Stefan M. Gold Stefan M. Gold Stefan M. Gold Christian Dettmers Christian Dettmers Barbara Ruettner Roger Schmidt Roger Schmidt Roger Schmidt |
spellingShingle |
Gesa E. A. Pust Gesa E. A. Pust Jennifer Randerath Jennifer Randerath Lutz Goetzmann Roland Weierstall Michael Korzinski Stefan M. Gold Stefan M. Gold Stefan M. Gold Christian Dettmers Christian Dettmers Barbara Ruettner Roger Schmidt Roger Schmidt Roger Schmidt Association of Fatigue Severity With Maladaptive Coping in Multiple Sclerosis: A Data-Driven Psychodynamic Perspective Frontiers in Neurology fatigue multiple sclerosis conversion schema modes latent profile analysis |
author_facet |
Gesa E. A. Pust Gesa E. A. Pust Jennifer Randerath Jennifer Randerath Lutz Goetzmann Roland Weierstall Michael Korzinski Stefan M. Gold Stefan M. Gold Stefan M. Gold Christian Dettmers Christian Dettmers Barbara Ruettner Roger Schmidt Roger Schmidt Roger Schmidt |
author_sort |
Gesa E. A. Pust |
title |
Association of Fatigue Severity With Maladaptive Coping in Multiple Sclerosis: A Data-Driven Psychodynamic Perspective |
title_short |
Association of Fatigue Severity With Maladaptive Coping in Multiple Sclerosis: A Data-Driven Psychodynamic Perspective |
title_full |
Association of Fatigue Severity With Maladaptive Coping in Multiple Sclerosis: A Data-Driven Psychodynamic Perspective |
title_fullStr |
Association of Fatigue Severity With Maladaptive Coping in Multiple Sclerosis: A Data-Driven Psychodynamic Perspective |
title_full_unstemmed |
Association of Fatigue Severity With Maladaptive Coping in Multiple Sclerosis: A Data-Driven Psychodynamic Perspective |
title_sort |
association of fatigue severity with maladaptive coping in multiple sclerosis: a data-driven psychodynamic perspective |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Neurology |
issn |
1664-2295 |
publishDate |
2021-04-01 |
description |
Fatigue in persons with multiple sclerosis (PwMS) is severely disabling. However, the underlying mechanisms remain incompletely understood. Recent research suggests a link to early childhood adversities and psychological trait variables. In line with these studies, this paper took a psychodynamic perspective on MS-fatigue. It was hypothesized that fatigue could represent a manifestation of maladaptive coping with intense emotions. The schema therapeutic mode model served as a theoretical and empirically validated framework, linking psychodynamic theory and empirical research methods. The study was based on a data set of N = 571 PwMS that has also served as the basis for another publication. Data was collected online. The Schema Mode Inventory was used to quantify regulatory strategies to cope with emotionally stressful experiences. In addition, depressive symptoms (Beck's Depression Inventory - FastScreen), physical disability (Patient Determined Disease Steps), alexithymia (Toronto Alexithymia Scale-26), adverse childhood experiences (Childhood Trauma Questionnaire), and self-reported fatigue (Fatigue Scale for Motor and Cognitive Functions) were assessed. Latent profile analysis revealed three distinct groups of PwMS, based on their coping mode profiles: (1) PwMS with low maladaptive coping, (2) PwMS with avoidant/submissive coping styles, and (3) PwMS with avoidant/overcompensatory coping styles. Multivariate comparisons showed no significant difference in physical disability across the three groups. However, heightened levels of self-reported fatigue and depression symptoms occurred in PwMS with maladaptive coping styles. A path model uncovered that self-reported fatigue was robustly related to physical disability (β = 0.33) and detached/avoidant coping (Detached Protector; β = 0.34). There was no specific relation between any of the maladaptive coping modes and depression symptoms. Detached/avoidant coping was in turn predicted by childhood emotional abuse and neglect. The results indicate that childhood adversity and detached/avoidant coping styles may be associated with variability in MS-fatigue severity: PwMS that resort to detached/avoidant coping in response to negative emotions also tend to report heightened levels of fatigue, although they do not differ in their perceived disability from PwMS with low levels of fatigue and maladaptive coping. A link between MS-fatigue and the psychodynamic traumatic conversion model is discussed. The implications of these findings for therapeutic interventions require further study. |
topic |
fatigue multiple sclerosis conversion schema modes latent profile analysis |
url |
https://www.frontiersin.org/articles/10.3389/fneur.2021.652177/full |
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doaj-d5335be0faa541d780195977f2f081ed2021-04-07T05:26:42ZengFrontiers Media S.A.Frontiers in Neurology1664-22952021-04-011210.3389/fneur.2021.652177652177Association of Fatigue Severity With Maladaptive Coping in Multiple Sclerosis: A Data-Driven Psychodynamic PerspectiveGesa E. A. Pust0Gesa E. A. Pust1Jennifer Randerath2Jennifer Randerath3Lutz Goetzmann4Roland Weierstall5Michael Korzinski6Stefan M. Gold7Stefan M. Gold8Stefan M. Gold9Christian Dettmers10Christian Dettmers11Barbara Ruettner12Roger Schmidt13Roger Schmidt14Roger Schmidt15Department of Psychology, University of Konstanz, Konstanz, GermanyInstitut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie Hamburg, Universitätsklinikum Hamburg-Eppendorf, Hamburg, GermanyDepartment of Psychology, University of Konstanz, Konstanz, GermanyLurija Institute for Rehabilitation and Health Sciences at the University of Konstanz, Schmieder Foundation for Sciences and Research, Allensbach, GermanyInstitute of Philosophy, Psychoanalysis and Cultural Studies, Berlin, GermanyMedical School Hamburg, Hamburg, GermanyPrivate Practitioner, London, United KingdomInstitut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie Hamburg, Universitätsklinikum Hamburg-Eppendorf, Hamburg, GermanyCharité — Universitätsmedizin Berlin, Klinik für Psychiatrie und Psychotherapie, Campus Benjamin Franklin, Berlin, GermanyCharité — Universitätsmedizin Berlin, Med. Klinik m.S. Psychosomatik, Campus Benjamin Franklin, Berlin, GermanyDepartment of Psychology, University of Konstanz, Konstanz, GermanyLurija Institute for Rehabilitation and Health Sciences at the University of Konstanz, Schmieder Foundation for Sciences and Research, Allensbach, GermanyMedical School Hamburg, Hamburg, GermanyDepartment of Psychology, University of Konstanz, Konstanz, GermanyLurija Institute for Rehabilitation and Health Sciences at the University of Konstanz, Schmieder Foundation for Sciences and Research, Allensbach, GermanyKlinik für Psychosomatik und Konsiliarpsychiatrie, Departement Innere Medizin, Kantonsspital St. Gallen, St. Gallen, SwitzerlandFatigue in persons with multiple sclerosis (PwMS) is severely disabling. However, the underlying mechanisms remain incompletely understood. Recent research suggests a link to early childhood adversities and psychological trait variables. In line with these studies, this paper took a psychodynamic perspective on MS-fatigue. It was hypothesized that fatigue could represent a manifestation of maladaptive coping with intense emotions. The schema therapeutic mode model served as a theoretical and empirically validated framework, linking psychodynamic theory and empirical research methods. The study was based on a data set of N = 571 PwMS that has also served as the basis for another publication. Data was collected online. The Schema Mode Inventory was used to quantify regulatory strategies to cope with emotionally stressful experiences. In addition, depressive symptoms (Beck's Depression Inventory - FastScreen), physical disability (Patient Determined Disease Steps), alexithymia (Toronto Alexithymia Scale-26), adverse childhood experiences (Childhood Trauma Questionnaire), and self-reported fatigue (Fatigue Scale for Motor and Cognitive Functions) were assessed. Latent profile analysis revealed three distinct groups of PwMS, based on their coping mode profiles: (1) PwMS with low maladaptive coping, (2) PwMS with avoidant/submissive coping styles, and (3) PwMS with avoidant/overcompensatory coping styles. Multivariate comparisons showed no significant difference in physical disability across the three groups. However, heightened levels of self-reported fatigue and depression symptoms occurred in PwMS with maladaptive coping styles. A path model uncovered that self-reported fatigue was robustly related to physical disability (β = 0.33) and detached/avoidant coping (Detached Protector; β = 0.34). There was no specific relation between any of the maladaptive coping modes and depression symptoms. Detached/avoidant coping was in turn predicted by childhood emotional abuse and neglect. The results indicate that childhood adversity and detached/avoidant coping styles may be associated with variability in MS-fatigue severity: PwMS that resort to detached/avoidant coping in response to negative emotions also tend to report heightened levels of fatigue, although they do not differ in their perceived disability from PwMS with low levels of fatigue and maladaptive coping. A link between MS-fatigue and the psychodynamic traumatic conversion model is discussed. The implications of these findings for therapeutic interventions require further study.https://www.frontiersin.org/articles/10.3389/fneur.2021.652177/fullfatiguemultiple sclerosisconversionschema modeslatent profile analysis |