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Predictors of Persistent Medically Unexplained Physical Symptoms: Findings From a General Population Study

Objective: To explore the persistency of Medically Unexplained Symptoms (MUS) and its prognostic factors in the general adult population. Knowledge of prognostic factors of MUS may indicate possible avenues for intervention development. Methods: Data were derived from the Netherlands Mental Health S...

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Autores principales: van Eck van der Sluijs, Jonna F., ten Have, Margreet, de Graaf, Ron, Rijnders, Cees A. Th., van Marwijk, Harm W. J., van der Feltz-Cornelis, Christina M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6262298/
https://www.ncbi.nlm.nih.gov/pubmed/30524322
http://dx.doi.org/10.3389/fpsyt.2018.00613
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author van Eck van der Sluijs, Jonna F.
ten Have, Margreet
de Graaf, Ron
Rijnders, Cees A. Th.
van Marwijk, Harm W. J.
van der Feltz-Cornelis, Christina M.
author_facet van Eck van der Sluijs, Jonna F.
ten Have, Margreet
de Graaf, Ron
Rijnders, Cees A. Th.
van Marwijk, Harm W. J.
van der Feltz-Cornelis, Christina M.
author_sort van Eck van der Sluijs, Jonna F.
collection PubMed
description Objective: To explore the persistency of Medically Unexplained Symptoms (MUS) and its prognostic factors in the general adult population. Knowledge of prognostic factors of MUS may indicate possible avenues for intervention development. Methods: Data were derived from the Netherlands Mental Health Survey and Incidence Study-2 (NEMESIS-2), a nationally representative face-to-face cohort study among the Dutch general population aged 18–64 years. We selected subjects with MUS at baseline and who participated at follow-up (N = 324) and reassessed those subjects for having MUS at 3 year follow-up. Logistic regression analyses were used to determine risk factors for persistency of MUS. Results: 36.4% of the subjects had persistent MUS at follow-up. In logistic regression analyses adjusted for sex and age, persistency of MUS was predicted by the number of comorbid chronic medical disorder(s), lower education, female sex, not having a paid job, parental psychopathology as well as lower functioning. In the logistic regression analysis in which all significant variables adjusted for sex and age were entered simultaneously, three variables predicted persistent MUS: parental psychopathology, the number of comorbid chronic medical disorder(s) and physical functioning, with odds ratios of 2.01 (1.20–3.38), 1.19 (1.01–1.40), and 0.99 (0.97–1.00), respectively. Conclusion: In the adult general population, MUS were persistent in over one third of the subjects with MUS at baseline. Persistency was significantly predicted by parental psychopathology, number of comorbid chronic medical disorders, and physical functioning. These findings warrant further research into early intervention and treatment options for persons with an increased risk of persistent MUS.
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spelling pubmed-62622982018-12-06 Predictors of Persistent Medically Unexplained Physical Symptoms: Findings From a General Population Study van Eck van der Sluijs, Jonna F. ten Have, Margreet de Graaf, Ron Rijnders, Cees A. Th. van Marwijk, Harm W. J. van der Feltz-Cornelis, Christina M. Front Psychiatry Psychiatry Objective: To explore the persistency of Medically Unexplained Symptoms (MUS) and its prognostic factors in the general adult population. Knowledge of prognostic factors of MUS may indicate possible avenues for intervention development. Methods: Data were derived from the Netherlands Mental Health Survey and Incidence Study-2 (NEMESIS-2), a nationally representative face-to-face cohort study among the Dutch general population aged 18–64 years. We selected subjects with MUS at baseline and who participated at follow-up (N = 324) and reassessed those subjects for having MUS at 3 year follow-up. Logistic regression analyses were used to determine risk factors for persistency of MUS. Results: 36.4% of the subjects had persistent MUS at follow-up. In logistic regression analyses adjusted for sex and age, persistency of MUS was predicted by the number of comorbid chronic medical disorder(s), lower education, female sex, not having a paid job, parental psychopathology as well as lower functioning. In the logistic regression analysis in which all significant variables adjusted for sex and age were entered simultaneously, three variables predicted persistent MUS: parental psychopathology, the number of comorbid chronic medical disorder(s) and physical functioning, with odds ratios of 2.01 (1.20–3.38), 1.19 (1.01–1.40), and 0.99 (0.97–1.00), respectively. Conclusion: In the adult general population, MUS were persistent in over one third of the subjects with MUS at baseline. Persistency was significantly predicted by parental psychopathology, number of comorbid chronic medical disorders, and physical functioning. These findings warrant further research into early intervention and treatment options for persons with an increased risk of persistent MUS. Frontiers Media S.A. 2018-11-20 /pmc/articles/PMC6262298/ /pubmed/30524322 http://dx.doi.org/10.3389/fpsyt.2018.00613 Text en Copyright © 2018 van Eck van der Sluijs, ten Have, de Graaf, Rijnders, van Marwijk and van der Feltz-Cornelis. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychiatry
van Eck van der Sluijs, Jonna F.
ten Have, Margreet
de Graaf, Ron
Rijnders, Cees A. Th.
van Marwijk, Harm W. J.
van der Feltz-Cornelis, Christina M.
Predictors of Persistent Medically Unexplained Physical Symptoms: Findings From a General Population Study
title Predictors of Persistent Medically Unexplained Physical Symptoms: Findings From a General Population Study
title_full Predictors of Persistent Medically Unexplained Physical Symptoms: Findings From a General Population Study
title_fullStr Predictors of Persistent Medically Unexplained Physical Symptoms: Findings From a General Population Study
title_full_unstemmed Predictors of Persistent Medically Unexplained Physical Symptoms: Findings From a General Population Study
title_short Predictors of Persistent Medically Unexplained Physical Symptoms: Findings From a General Population Study
title_sort predictors of persistent medically unexplained physical symptoms: findings from a general population study
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6262298/
https://www.ncbi.nlm.nih.gov/pubmed/30524322
http://dx.doi.org/10.3389/fpsyt.2018.00613
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