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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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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. |
format | Online Article Text |
id | pubmed-6262298 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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