Perfectionism and physical disability predict depression in multiple sclerosis

Megan M. Smith; Peter A. Arnett

doi:10.1016/j.jpsychores.2013.06.001

Perfectionism and physical disability predict depression in multiple sclerosis

Megan M. Smith
, Peter A. Arnett

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

Objective: The relationship between depression and physical disability in multiple sclerosis (MS) is unclear. This investigation examines the interaction between disability and perfectionism in predicting depression in MS. Methods: Participants (n. = 51) completed the Frost Multidimensional Perfectionism Scale (FMPS), the Chicago Multiscale Depression Inventory (CMDI), and the Expanded Disability Status Scale (EDSS). Results: Regression revealed that the FMPS. ×. EDSS interaction predicted depression above the variance predicted by each variable alone. Perfectionism predicted depression at high levels of disability. Conclusion: Our results suggest a means of reconciling inconsistent findings regarding physical disability and depression in MS and offer a potential target for psychotherapy.

Original language	English (US)
Pages (from-to)	187-189
Number of pages	3
Journal	Journal of psychosomatic research
Volume	75
Issue number	2
DOIs	https://doi.org/10.1016/j.jpsychores.2013.06.001
State	Published - Aug 2013

All Science Journal Classification (ASJC) codes

Clinical Psychology
Psychiatry and Mental health

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.jpsychores.2013.06.001

Cite this

@article{c4fe34f82d4b4907b12ff505191eacb9,

title = "Perfectionism and physical disability predict depression in multiple sclerosis",

abstract = "Objective: The relationship between depression and physical disability in multiple sclerosis (MS) is unclear. This investigation examines the interaction between disability and perfectionism in predicting depression in MS. Methods: Participants (n. = 51) completed the Frost Multidimensional Perfectionism Scale (FMPS), the Chicago Multiscale Depression Inventory (CMDI), and the Expanded Disability Status Scale (EDSS). Results: Regression revealed that the FMPS. ×. EDSS interaction predicted depression above the variance predicted by each variable alone. Perfectionism predicted depression at high levels of disability. Conclusion: Our results suggest a means of reconciling inconsistent findings regarding physical disability and depression in MS and offer a potential target for psychotherapy.",

author = "Smith, \{Megan M.\} and Arnett, \{Peter A.\}",

note = "Funding Information: This research is supported (in part) by a grant to Dr. Arnett from the National Multiple Sclerosis Society ( PP0978 ). The authors thank the many neurologists in the Pennsylvania region who contributed their time to verifying MS diagnoses and course type ratings for the participants in this project. The authors also thank the participants for their time and dedication to participating in clinical research. Data from this investigation were presented in part at the annual meeting of the National Academy of Neuropsychology, San Antonio, Texas, 2006.",

year = "2013",

month = aug,

doi = "10.1016/j.jpsychores.2013.06.001",

language = "English (US)",

volume = "75",

pages = "187--189",

journal = "Journal of psychosomatic research",

issn = "0022-3999",

publisher = "Elsevier Inc.",

number = "2",

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TY - JOUR

T1 - Perfectionism and physical disability predict depression in multiple sclerosis

AU - Smith, Megan M.

AU - Arnett, Peter A.

N1 - Funding Information: This research is supported (in part) by a grant to Dr. Arnett from the National Multiple Sclerosis Society ( PP0978 ). The authors thank the many neurologists in the Pennsylvania region who contributed their time to verifying MS diagnoses and course type ratings for the participants in this project. The authors also thank the participants for their time and dedication to participating in clinical research. Data from this investigation were presented in part at the annual meeting of the National Academy of Neuropsychology, San Antonio, Texas, 2006.

PY - 2013/8

Y1 - 2013/8

N2 - Objective: The relationship between depression and physical disability in multiple sclerosis (MS) is unclear. This investigation examines the interaction between disability and perfectionism in predicting depression in MS. Methods: Participants (n. = 51) completed the Frost Multidimensional Perfectionism Scale (FMPS), the Chicago Multiscale Depression Inventory (CMDI), and the Expanded Disability Status Scale (EDSS). Results: Regression revealed that the FMPS. ×. EDSS interaction predicted depression above the variance predicted by each variable alone. Perfectionism predicted depression at high levels of disability. Conclusion: Our results suggest a means of reconciling inconsistent findings regarding physical disability and depression in MS and offer a potential target for psychotherapy.

AB - Objective: The relationship between depression and physical disability in multiple sclerosis (MS) is unclear. This investigation examines the interaction between disability and perfectionism in predicting depression in MS. Methods: Participants (n. = 51) completed the Frost Multidimensional Perfectionism Scale (FMPS), the Chicago Multiscale Depression Inventory (CMDI), and the Expanded Disability Status Scale (EDSS). Results: Regression revealed that the FMPS. ×. EDSS interaction predicted depression above the variance predicted by each variable alone. Perfectionism predicted depression at high levels of disability. Conclusion: Our results suggest a means of reconciling inconsistent findings regarding physical disability and depression in MS and offer a potential target for psychotherapy.

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U2 - 10.1016/j.jpsychores.2013.06.001

DO - 10.1016/j.jpsychores.2013.06.001

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AN - SCOPUS:84881025616

SN - 0022-3999

VL - 75

SP - 187

EP - 189

JO - Journal of psychosomatic research

JF - Journal of psychosomatic research

IS - 2

ER -

Perfectionism and physical disability predict depression in multiple sclerosis

Abstract

All Science Journal Classification (ASJC) codes

UN SDGs

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