Depression Determines Illness Conviction and Pain Impact: A Structural Equation Modeling Analysis
Objective. The present study sought to derive an algorithm using factor analysis and structural equation modeling (SEM) to describe headache and orofacial pain patients using measures of behavioral and psychological functioning. This investigation further examined whether the underlying factor struc...
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Veröffentlicht in: | Pain medicine (Malden, Mass.) Mass.), 2000-09, Vol.1 (3), p.238-246 |
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creator | Davis, Philip J. Reeves II, John L. Hastie, Barbara A. Graff-Radford, Steven B. Naliboff, Bruce D. |
description | Objective. The present study sought to derive an algorithm using factor analysis and structural equation modeling (SEM) to describe headache and orofacial pain patients using measures of behavioral and psychological functioning. This investigation further examined whether the underlying factor structure differed in 3 presumed distinct diagnostic categories: myofascial, neuropathic, and neurovascular pain.
Design. The Minnesota Multiphasic Personality Inventory‐2 (MMPI‐2), Multidimensional Pain Inventory (MPI), Beck Depression Inventory‐II (BDI‐II), and visual analog scale for functional limitation (VAS‐FL) were administered to the subjects. A split group design was used. Exploratory factor analysis (EFA) was used to describe distinct factor domains in the first group. Confirmatory factor analysis (CFA) using SEM tested this structure in the second group and described causal relationships between the revealed (latent) factors. Analysis of variance (ANOVA) was used to test for differences in demographic variables and diagnostic group factor structure.
Setting. The Pain Center is a comprehensive, multidisciplinary pain medicine program at Cedars‐Sinai Medical Center, Los Angeles, California.
Subjects. Three hundred and ninety (N = 390) subjects were assigned to 1 of 3 diagnostic categories: myofascial pain syndrome, neuropathic pain, or neurovascular pain.
Results. EFA revealed a 3‐factor solution. The factors were labeled Depression, Illness Conviction, and Pain Impact, reflecting the content of their respective variables with highest loadings. CFA using SEM validated the 3‐factor solution, and further revealed that Depression was a critical causal factor determining Illness Conviction and Pain Impact. No causal relationship was observed between Illness Conviction and Pain Impact. ANOVA found no differences in demographics. No difference in factor structure emerged for the 3 diagnostic categories.
Conclusions. Analysis derived a 3‐factor solution. The factors were Pain Impact, Illness Conviction, and Depression. SEM revealed the critical causal pathway showing that Depression determined Illness Conviction and Pain Impact. We conclude that the main target for pain treatment is depression. No differences in factor structure were found for the 3 diagnostic categories of myofascial, neuropathic, or neurovascular pain. This suggests that psychological processes are similar in chronic headache and orofacial pain patients despite their presumed distinct underlying |
doi_str_mv | 10.1046/j.1526-4637.2000.00032.x |
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Design. The Minnesota Multiphasic Personality Inventory‐2 (MMPI‐2), Multidimensional Pain Inventory (MPI), Beck Depression Inventory‐II (BDI‐II), and visual analog scale for functional limitation (VAS‐FL) were administered to the subjects. A split group design was used. Exploratory factor analysis (EFA) was used to describe distinct factor domains in the first group. Confirmatory factor analysis (CFA) using SEM tested this structure in the second group and described causal relationships between the revealed (latent) factors. Analysis of variance (ANOVA) was used to test for differences in demographic variables and diagnostic group factor structure.
Setting. The Pain Center is a comprehensive, multidisciplinary pain medicine program at Cedars‐Sinai Medical Center, Los Angeles, California.
Subjects. Three hundred and ninety (N = 390) subjects were assigned to 1 of 3 diagnostic categories: myofascial pain syndrome, neuropathic pain, or neurovascular pain.
Results. EFA revealed a 3‐factor solution. The factors were labeled Depression, Illness Conviction, and Pain Impact, reflecting the content of their respective variables with highest loadings. CFA using SEM validated the 3‐factor solution, and further revealed that Depression was a critical causal factor determining Illness Conviction and Pain Impact. No causal relationship was observed between Illness Conviction and Pain Impact. ANOVA found no differences in demographics. No difference in factor structure emerged for the 3 diagnostic categories.
Conclusions. Analysis derived a 3‐factor solution. The factors were Pain Impact, Illness Conviction, and Depression. SEM revealed the critical causal pathway showing that Depression determined Illness Conviction and Pain Impact. We conclude that the main target for pain treatment is depression. No differences in factor structure were found for the 3 diagnostic categories of myofascial, neuropathic, or neurovascular pain. This suggests that psychological processes are similar in chronic headache and orofacial pain patients despite their presumed distinct underlying pathophysiological mechanisms. SME is a powerful methodology to construct causal models that has been underutilized in the pain literature.</description><identifier>ISSN: 1526-2375</identifier><identifier>EISSN: 1526-4637</identifier><identifier>DOI: 10.1046/j.1526-4637.2000.00032.x</identifier><identifier>PMID: 15101890</identifier><language>eng</language><publisher>Boston, MA, USA: Blackwell Science Inc</publisher><subject>BDI ; Depression ; Factor Analysis ; Headache ; MMPI-2 ; MPI ; Orofacial Pain ; Structural Equation Modeling ; VAS</subject><ispartof>Pain medicine (Malden, Mass.), 2000-09, Vol.1 (3), p.238-246</ispartof><rights>Blackwell Science, Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4542-e7b789612b381c9ceddc07917adce379fab5fc31ede4ba4825347e2837d7b49f3</citedby><cites>FETCH-LOGICAL-c4542-e7b789612b381c9ceddc07917adce379fab5fc31ede4ba4825347e2837d7b49f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1046%2Fj.1526-4637.2000.00032.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1046%2Fj.1526-4637.2000.00032.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27923,27924,45573,45574</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15101890$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Davis, Philip J.</creatorcontrib><creatorcontrib>Reeves II, John L.</creatorcontrib><creatorcontrib>Hastie, Barbara A.</creatorcontrib><creatorcontrib>Graff-Radford, Steven B.</creatorcontrib><creatorcontrib>Naliboff, Bruce D.</creatorcontrib><title>Depression Determines Illness Conviction and Pain Impact: A Structural Equation Modeling Analysis</title><title>Pain medicine (Malden, Mass.)</title><addtitle>Pain Medicine</addtitle><description>Objective. The present study sought to derive an algorithm using factor analysis and structural equation modeling (SEM) to describe headache and orofacial pain patients using measures of behavioral and psychological functioning. This investigation further examined whether the underlying factor structure differed in 3 presumed distinct diagnostic categories: myofascial, neuropathic, and neurovascular pain.
Design. The Minnesota Multiphasic Personality Inventory‐2 (MMPI‐2), Multidimensional Pain Inventory (MPI), Beck Depression Inventory‐II (BDI‐II), and visual analog scale for functional limitation (VAS‐FL) were administered to the subjects. A split group design was used. Exploratory factor analysis (EFA) was used to describe distinct factor domains in the first group. Confirmatory factor analysis (CFA) using SEM tested this structure in the second group and described causal relationships between the revealed (latent) factors. Analysis of variance (ANOVA) was used to test for differences in demographic variables and diagnostic group factor structure.
Setting. The Pain Center is a comprehensive, multidisciplinary pain medicine program at Cedars‐Sinai Medical Center, Los Angeles, California.
Subjects. Three hundred and ninety (N = 390) subjects were assigned to 1 of 3 diagnostic categories: myofascial pain syndrome, neuropathic pain, or neurovascular pain.
Results. EFA revealed a 3‐factor solution. The factors were labeled Depression, Illness Conviction, and Pain Impact, reflecting the content of their respective variables with highest loadings. CFA using SEM validated the 3‐factor solution, and further revealed that Depression was a critical causal factor determining Illness Conviction and Pain Impact. No causal relationship was observed between Illness Conviction and Pain Impact. ANOVA found no differences in demographics. No difference in factor structure emerged for the 3 diagnostic categories.
Conclusions. Analysis derived a 3‐factor solution. The factors were Pain Impact, Illness Conviction, and Depression. SEM revealed the critical causal pathway showing that Depression determined Illness Conviction and Pain Impact. We conclude that the main target for pain treatment is depression. No differences in factor structure were found for the 3 diagnostic categories of myofascial, neuropathic, or neurovascular pain. This suggests that psychological processes are similar in chronic headache and orofacial pain patients despite their presumed distinct underlying pathophysiological mechanisms. SME is a powerful methodology to construct causal models that has been underutilized in the pain literature.</description><subject>BDI</subject><subject>Depression</subject><subject>Factor Analysis</subject><subject>Headache</subject><subject>MMPI-2</subject><subject>MPI</subject><subject>Orofacial Pain</subject><subject>Structural Equation Modeling</subject><subject>VAS</subject><issn>1526-2375</issn><issn>1526-4637</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2000</creationdate><recordtype>article</recordtype><recordid>eNqNkV1r2zAUhsXYaLu2f2Hoanf29GXL3sUgpEmXkbaBtvRSyPLxUCbbiWS3yb-fnYTudhfiHDjPeQ88QghTElMi0m_rmCYsjUTKZcwIIfHwOIt3H9DF--DjqWdcJufocwhrQmgqMn6GzmlCCc1ycoH0DWw8hGDbBt9AB762DQS8cG4oAU_b5tWabpzqpsQrbRu8qDfadN_xBD92vjdd77XDs22vD9hdW4KzzW88abTbBxuu0KdKuwDXp3qJnuezp-nPaPlwu5hOlpERiWARyEJmeUpZwTNqcgNlaYjMqdSlAS7zShdJZTiFEkShRcYSLiSwjMtSFiKv-CX6eszd-HbbQ-hUbYMB53QDbR-UJIkQLGcDmB1B49sQPFRq422t_V5Roka9aq1Gc2q0qEa96qBX7YbVL6cbfVFD-W_x5HMAfhyBN-tg_9_BanU3O7RDQHQMsKGD3XuA9n9UKoefVC_3t-p-Of01n8-pWvG_LkaZGw</recordid><startdate>200009</startdate><enddate>200009</enddate><creator>Davis, Philip J.</creator><creator>Reeves II, John L.</creator><creator>Hastie, Barbara A.</creator><creator>Graff-Radford, Steven B.</creator><creator>Naliboff, Bruce D.</creator><general>Blackwell Science Inc</general><scope>BSCLL</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>200009</creationdate><title>Depression Determines Illness Conviction and Pain Impact: A Structural Equation Modeling Analysis</title><author>Davis, Philip J. ; Reeves II, John L. ; Hastie, Barbara A. ; Graff-Radford, Steven B. ; Naliboff, Bruce D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4542-e7b789612b381c9ceddc07917adce379fab5fc31ede4ba4825347e2837d7b49f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2000</creationdate><topic>BDI</topic><topic>Depression</topic><topic>Factor Analysis</topic><topic>Headache</topic><topic>MMPI-2</topic><topic>MPI</topic><topic>Orofacial Pain</topic><topic>Structural Equation Modeling</topic><topic>VAS</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Davis, Philip J.</creatorcontrib><creatorcontrib>Reeves II, John L.</creatorcontrib><creatorcontrib>Hastie, Barbara A.</creatorcontrib><creatorcontrib>Graff-Radford, Steven B.</creatorcontrib><creatorcontrib>Naliboff, Bruce D.</creatorcontrib><collection>Istex</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Pain medicine (Malden, Mass.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Davis, Philip J.</au><au>Reeves II, John L.</au><au>Hastie, Barbara A.</au><au>Graff-Radford, Steven B.</au><au>Naliboff, Bruce D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Depression Determines Illness Conviction and Pain Impact: A Structural Equation Modeling Analysis</atitle><jtitle>Pain medicine (Malden, Mass.)</jtitle><addtitle>Pain Medicine</addtitle><date>2000-09</date><risdate>2000</risdate><volume>1</volume><issue>3</issue><spage>238</spage><epage>246</epage><pages>238-246</pages><issn>1526-2375</issn><eissn>1526-4637</eissn><abstract>Objective. The present study sought to derive an algorithm using factor analysis and structural equation modeling (SEM) to describe headache and orofacial pain patients using measures of behavioral and psychological functioning. This investigation further examined whether the underlying factor structure differed in 3 presumed distinct diagnostic categories: myofascial, neuropathic, and neurovascular pain.
Design. The Minnesota Multiphasic Personality Inventory‐2 (MMPI‐2), Multidimensional Pain Inventory (MPI), Beck Depression Inventory‐II (BDI‐II), and visual analog scale for functional limitation (VAS‐FL) were administered to the subjects. A split group design was used. Exploratory factor analysis (EFA) was used to describe distinct factor domains in the first group. Confirmatory factor analysis (CFA) using SEM tested this structure in the second group and described causal relationships between the revealed (latent) factors. Analysis of variance (ANOVA) was used to test for differences in demographic variables and diagnostic group factor structure.
Setting. The Pain Center is a comprehensive, multidisciplinary pain medicine program at Cedars‐Sinai Medical Center, Los Angeles, California.
Subjects. Three hundred and ninety (N = 390) subjects were assigned to 1 of 3 diagnostic categories: myofascial pain syndrome, neuropathic pain, or neurovascular pain.
Results. EFA revealed a 3‐factor solution. The factors were labeled Depression, Illness Conviction, and Pain Impact, reflecting the content of their respective variables with highest loadings. CFA using SEM validated the 3‐factor solution, and further revealed that Depression was a critical causal factor determining Illness Conviction and Pain Impact. No causal relationship was observed between Illness Conviction and Pain Impact. ANOVA found no differences in demographics. No difference in factor structure emerged for the 3 diagnostic categories.
Conclusions. Analysis derived a 3‐factor solution. The factors were Pain Impact, Illness Conviction, and Depression. SEM revealed the critical causal pathway showing that Depression determined Illness Conviction and Pain Impact. We conclude that the main target for pain treatment is depression. No differences in factor structure were found for the 3 diagnostic categories of myofascial, neuropathic, or neurovascular pain. This suggests that psychological processes are similar in chronic headache and orofacial pain patients despite their presumed distinct underlying pathophysiological mechanisms. SME is a powerful methodology to construct causal models that has been underutilized in the pain literature.</abstract><cop>Boston, MA, USA</cop><pub>Blackwell Science Inc</pub><pmid>15101890</pmid><doi>10.1046/j.1526-4637.2000.00032.x</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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source | Oxford University Press Journals All Titles (1996-Current); Wiley Online Library All Journals |
subjects | BDI Depression Factor Analysis Headache MMPI-2 MPI Orofacial Pain Structural Equation Modeling VAS |
title | Depression Determines Illness Conviction and Pain Impact: A Structural Equation Modeling Analysis |
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