Determinants of quality of life in patients with fibromyalgia: A structural equation modeling approach

Health-related quality of life (HRQOL) in patients with fibromyalgia (FM) is lower than in patients with other chronic diseases and the general population. Although various factors affect HRQOL, no study has examined a structural equation model of HRQOL as an outcome variable in FM patients. The pre...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PloS one 2017-02, Vol.12 (2), p.e0171186-e0171186
Hauptverfasser: Lee, Jeong-Won, Lee, Kyung-Eun, Park, Dong-Jin, Kim, Seong-Ho, Nah, Seong-Su, Lee, Ji Hyun, Kim, Seong-Kyu, Lee, Yeon-Ah, Hong, Seung-Jae, Kim, Hyun-Sook, Lee, Hye-Soon, Kim, Hyoun Ah, Joung, Chung-Il, Kim, Sang-Hyon, Lee, Shin-Seok
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page e0171186
container_issue 2
container_start_page e0171186
container_title PloS one
container_volume 12
creator Lee, Jeong-Won
Lee, Kyung-Eun
Park, Dong-Jin
Kim, Seong-Ho
Nah, Seong-Su
Lee, Ji Hyun
Kim, Seong-Kyu
Lee, Yeon-Ah
Hong, Seung-Jae
Kim, Hyun-Sook
Lee, Hye-Soon
Kim, Hyoun Ah
Joung, Chung-Il
Kim, Sang-Hyon
Lee, Shin-Seok
description Health-related quality of life (HRQOL) in patients with fibromyalgia (FM) is lower than in patients with other chronic diseases and the general population. Although various factors affect HRQOL, no study has examined a structural equation model of HRQOL as an outcome variable in FM patients. The present study assessed relationships among physical function, social factors, psychological factors, and HRQOL, and the effects of these variables on HRQOL in a hypothesized model using structural equation modeling (SEM). HRQOL was measured using SF-36, and the Fibromyalgia Impact Questionnaire (FIQ) was used to assess physical dysfunction. Social and psychological statuses were assessed using the Beck Depression Inventory (BDI), the State-Trait Anxiety Inventory (STAI), the Arthritis Self-Efficacy Scale (ASES), and the Social Support Scale. SEM analysis was used to test the structural relationships of the model using the AMOS software. Of the 336 patients, 301 (89.6%) were women with an average age of 47.9±10.9 years. The SEM results supported the hypothesized structural model (χ2 = 2.336, df = 3, p = 0.506). The final model showed that Physical Component Summary (PCS) was directly related to self-efficacy and inversely related to FIQ, and that Mental Component Summary (MCS) was inversely related to FIQ, BDI, and STAI. In our model of FM patients, HRQOL was affected by physical, social, and psychological variables. In these patients, higher levels of physical function and self-efficacy can improve the PCS of HRQOL, while physical function, depression, and anxiety negatively affect the MCS of HRQOL.
doi_str_mv 10.1371/journal.pone.0171186
format Article
fullrecord <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1864919394</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A479994016</galeid><doaj_id>oai_doaj_org_article_c2b809a94abf47cb9355792eab07c7d6</doaj_id><sourcerecordid>A479994016</sourcerecordid><originalsourceid>FETCH-LOGICAL-c725t-7c0e3bec38e2a579c370f090f733d965c23c64d87b79bf5ad566422d047433943</originalsourceid><addsrcrecordid>eNqNk12L1DAUhoso7rr6D0QLgujFjGk-msYLYVi_BhYW_LoNaZrMZEmbbpKq8-9NZ7rLVPZi6UVD8rxvT9-Tk2XPC7AsEC3eXbnBd8Iue9epJShoUVTlg-y0YAguSgjQw6P1SfYkhCsACKrK8nF2AquCVLBip5n-qKLyrelEF0PudH49CGviblxao1VuurwX0ajx-I-J21yb2rt2J-zGiPf5Kg_RDzIOXthcJXE0rstb1yhruk0u-t47IbdPs0da2KCeTe-z7OfnTz_Ovy4uLr-sz1cXC0khiQsqgUK1kqhSUBDKJKJAAwY0RahhJZEQyRI3Fa0pqzURDSlLDGEDMMUIMYzOspcH3966wKeIAk_RYJbS2BPrA9E4ccV7b1rhd9wJw_cbzm-48NFIq7iEdQWYYFjUGlNZM0RSTVCJGlBJmzJ5fZi-NtStamQKKcUwM52fdGbLN-43J5ClHo4GbyYD764HFSJvTZDKWtEpN-zrrhAGEBT3QQkhEDOS0Ff_oXcHMVEbkf7VdNqlEuVoyleYMsYwKMYKl3dQ6WlUa2S6etqk_Zng7UyQmKj-xo0YQuDr79_uz17-mrOvj9itEjZug7PDeN_CHMQHUHoXglf6th8F4OPk3KTBx8nh0-Qk2YvjXt6KbkYF_QNN3xNc</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1864919394</pqid></control><display><type>article</type><title>Determinants of quality of life in patients with fibromyalgia: A structural equation modeling approach</title><source>MEDLINE</source><source>Public Library of Science</source><source>DOAJ Directory of Open Access Journals</source><source>PubMed</source><source>Free Full-Text Journals in Chemistry</source><source>EZB Electronic Journals Library</source><creator>Lee, Jeong-Won ; Lee, Kyung-Eun ; Park, Dong-Jin ; Kim, Seong-Ho ; Nah, Seong-Su ; Lee, Ji Hyun ; Kim, Seong-Kyu ; Lee, Yeon-Ah ; Hong, Seung-Jae ; Kim, Hyun-Sook ; Lee, Hye-Soon ; Kim, Hyoun Ah ; Joung, Chung-Il ; Kim, Sang-Hyon ; Lee, Shin-Seok</creator><creatorcontrib>Lee, Jeong-Won ; Lee, Kyung-Eun ; Park, Dong-Jin ; Kim, Seong-Ho ; Nah, Seong-Su ; Lee, Ji Hyun ; Kim, Seong-Kyu ; Lee, Yeon-Ah ; Hong, Seung-Jae ; Kim, Hyun-Sook ; Lee, Hye-Soon ; Kim, Hyoun Ah ; Joung, Chung-Il ; Kim, Sang-Hyon ; Lee, Shin-Seok</creatorcontrib><description>Health-related quality of life (HRQOL) in patients with fibromyalgia (FM) is lower than in patients with other chronic diseases and the general population. Although various factors affect HRQOL, no study has examined a structural equation model of HRQOL as an outcome variable in FM patients. The present study assessed relationships among physical function, social factors, psychological factors, and HRQOL, and the effects of these variables on HRQOL in a hypothesized model using structural equation modeling (SEM). HRQOL was measured using SF-36, and the Fibromyalgia Impact Questionnaire (FIQ) was used to assess physical dysfunction. Social and psychological statuses were assessed using the Beck Depression Inventory (BDI), the State-Trait Anxiety Inventory (STAI), the Arthritis Self-Efficacy Scale (ASES), and the Social Support Scale. SEM analysis was used to test the structural relationships of the model using the AMOS software. Of the 336 patients, 301 (89.6%) were women with an average age of 47.9±10.9 years. The SEM results supported the hypothesized structural model (χ2 = 2.336, df = 3, p = 0.506). The final model showed that Physical Component Summary (PCS) was directly related to self-efficacy and inversely related to FIQ, and that Mental Component Summary (MCS) was inversely related to FIQ, BDI, and STAI. In our model of FM patients, HRQOL was affected by physical, social, and psychological variables. In these patients, higher levels of physical function and self-efficacy can improve the PCS of HRQOL, while physical function, depression, and anxiety negatively affect the MCS of HRQOL.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0171186</identifier><identifier>PMID: 28158289</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Adult ; Aged ; Analysis ; Anxiety ; Arthritis ; Biology and Life Sciences ; Care and treatment ; Chronic illnesses ; Demographics ; Diabetes ; Effectiveness ; Female ; Fibromyalgia ; Fibromyalgia - physiopathology ; Hospitals ; Humans ; Hypertension ; Internal medicine ; Male ; Mathematical models ; Measurement methods ; Medical schools ; Medicine ; Medicine and Health Sciences ; Mental depression ; Middle Aged ; Modelling ; Models, Theoretical ; Pain ; Patients ; Physical Sciences ; Prevalence studies (Epidemiology) ; Prospective Studies ; Psychological factors ; Quality of Life ; Research and Analysis Methods ; Rheumatoid arthritis ; Rheumatology ; Risk factors ; Social factors ; Social interactions ; Social Sciences ; Social support ; Sociodemographics ; Software ; Structural equation modeling ; Studies ; Surveys and Questionnaires ; Systematic review ; Variables ; Young Adult</subject><ispartof>PloS one, 2017-02, Vol.12 (2), p.e0171186-e0171186</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Lee et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2017 Lee et al 2017 Lee et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c725t-7c0e3bec38e2a579c370f090f733d965c23c64d87b79bf5ad566422d047433943</citedby><cites>FETCH-LOGICAL-c725t-7c0e3bec38e2a579c370f090f733d965c23c64d87b79bf5ad566422d047433943</cites><orcidid>0000-0001-6810-7355</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5291376/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5291376/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28158289$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lee, Jeong-Won</creatorcontrib><creatorcontrib>Lee, Kyung-Eun</creatorcontrib><creatorcontrib>Park, Dong-Jin</creatorcontrib><creatorcontrib>Kim, Seong-Ho</creatorcontrib><creatorcontrib>Nah, Seong-Su</creatorcontrib><creatorcontrib>Lee, Ji Hyun</creatorcontrib><creatorcontrib>Kim, Seong-Kyu</creatorcontrib><creatorcontrib>Lee, Yeon-Ah</creatorcontrib><creatorcontrib>Hong, Seung-Jae</creatorcontrib><creatorcontrib>Kim, Hyun-Sook</creatorcontrib><creatorcontrib>Lee, Hye-Soon</creatorcontrib><creatorcontrib>Kim, Hyoun Ah</creatorcontrib><creatorcontrib>Joung, Chung-Il</creatorcontrib><creatorcontrib>Kim, Sang-Hyon</creatorcontrib><creatorcontrib>Lee, Shin-Seok</creatorcontrib><title>Determinants of quality of life in patients with fibromyalgia: A structural equation modeling approach</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Health-related quality of life (HRQOL) in patients with fibromyalgia (FM) is lower than in patients with other chronic diseases and the general population. Although various factors affect HRQOL, no study has examined a structural equation model of HRQOL as an outcome variable in FM patients. The present study assessed relationships among physical function, social factors, psychological factors, and HRQOL, and the effects of these variables on HRQOL in a hypothesized model using structural equation modeling (SEM). HRQOL was measured using SF-36, and the Fibromyalgia Impact Questionnaire (FIQ) was used to assess physical dysfunction. Social and psychological statuses were assessed using the Beck Depression Inventory (BDI), the State-Trait Anxiety Inventory (STAI), the Arthritis Self-Efficacy Scale (ASES), and the Social Support Scale. SEM analysis was used to test the structural relationships of the model using the AMOS software. Of the 336 patients, 301 (89.6%) were women with an average age of 47.9±10.9 years. The SEM results supported the hypothesized structural model (χ2 = 2.336, df = 3, p = 0.506). The final model showed that Physical Component Summary (PCS) was directly related to self-efficacy and inversely related to FIQ, and that Mental Component Summary (MCS) was inversely related to FIQ, BDI, and STAI. In our model of FM patients, HRQOL was affected by physical, social, and psychological variables. In these patients, higher levels of physical function and self-efficacy can improve the PCS of HRQOL, while physical function, depression, and anxiety negatively affect the MCS of HRQOL.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Analysis</subject><subject>Anxiety</subject><subject>Arthritis</subject><subject>Biology and Life Sciences</subject><subject>Care and treatment</subject><subject>Chronic illnesses</subject><subject>Demographics</subject><subject>Diabetes</subject><subject>Effectiveness</subject><subject>Female</subject><subject>Fibromyalgia</subject><subject>Fibromyalgia - physiopathology</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Internal medicine</subject><subject>Male</subject><subject>Mathematical models</subject><subject>Measurement methods</subject><subject>Medical schools</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Mental depression</subject><subject>Middle Aged</subject><subject>Modelling</subject><subject>Models, Theoretical</subject><subject>Pain</subject><subject>Patients</subject><subject>Physical Sciences</subject><subject>Prevalence studies (Epidemiology)</subject><subject>Prospective Studies</subject><subject>Psychological factors</subject><subject>Quality of Life</subject><subject>Research and Analysis Methods</subject><subject>Rheumatoid arthritis</subject><subject>Rheumatology</subject><subject>Risk factors</subject><subject>Social factors</subject><subject>Social interactions</subject><subject>Social Sciences</subject><subject>Social support</subject><subject>Sociodemographics</subject><subject>Software</subject><subject>Structural equation modeling</subject><subject>Studies</subject><subject>Surveys and Questionnaires</subject><subject>Systematic review</subject><subject>Variables</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk12L1DAUhoso7rr6D0QLgujFjGk-msYLYVi_BhYW_LoNaZrMZEmbbpKq8-9NZ7rLVPZi6UVD8rxvT9-Tk2XPC7AsEC3eXbnBd8Iue9epJShoUVTlg-y0YAguSgjQw6P1SfYkhCsACKrK8nF2AquCVLBip5n-qKLyrelEF0PudH49CGviblxao1VuurwX0ajx-I-J21yb2rt2J-zGiPf5Kg_RDzIOXthcJXE0rstb1yhruk0u-t47IbdPs0da2KCeTe-z7OfnTz_Ovy4uLr-sz1cXC0khiQsqgUK1kqhSUBDKJKJAAwY0RahhJZEQyRI3Fa0pqzURDSlLDGEDMMUIMYzOspcH3966wKeIAk_RYJbS2BPrA9E4ccV7b1rhd9wJw_cbzm-48NFIq7iEdQWYYFjUGlNZM0RSTVCJGlBJmzJ5fZi-NtStamQKKcUwM52fdGbLN-43J5ClHo4GbyYD764HFSJvTZDKWtEpN-zrrhAGEBT3QQkhEDOS0Ff_oXcHMVEbkf7VdNqlEuVoyleYMsYwKMYKl3dQ6WlUa2S6etqk_Zng7UyQmKj-xo0YQuDr79_uz17-mrOvj9itEjZug7PDeN_CHMQHUHoXglf6th8F4OPk3KTBx8nh0-Qk2YvjXt6KbkYF_QNN3xNc</recordid><startdate>20170203</startdate><enddate>20170203</enddate><creator>Lee, Jeong-Won</creator><creator>Lee, Kyung-Eun</creator><creator>Park, Dong-Jin</creator><creator>Kim, Seong-Ho</creator><creator>Nah, Seong-Su</creator><creator>Lee, Ji Hyun</creator><creator>Kim, Seong-Kyu</creator><creator>Lee, Yeon-Ah</creator><creator>Hong, Seung-Jae</creator><creator>Kim, Hyun-Sook</creator><creator>Lee, Hye-Soon</creator><creator>Kim, Hyoun Ah</creator><creator>Joung, Chung-Il</creator><creator>Kim, Sang-Hyon</creator><creator>Lee, Shin-Seok</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-6810-7355</orcidid></search><sort><creationdate>20170203</creationdate><title>Determinants of quality of life in patients with fibromyalgia: A structural equation modeling approach</title><author>Lee, Jeong-Won ; Lee, Kyung-Eun ; Park, Dong-Jin ; Kim, Seong-Ho ; Nah, Seong-Su ; Lee, Ji Hyun ; Kim, Seong-Kyu ; Lee, Yeon-Ah ; Hong, Seung-Jae ; Kim, Hyun-Sook ; Lee, Hye-Soon ; Kim, Hyoun Ah ; Joung, Chung-Il ; Kim, Sang-Hyon ; Lee, Shin-Seok</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c725t-7c0e3bec38e2a579c370f090f733d965c23c64d87b79bf5ad566422d047433943</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Analysis</topic><topic>Anxiety</topic><topic>Arthritis</topic><topic>Biology and Life Sciences</topic><topic>Care and treatment</topic><topic>Chronic illnesses</topic><topic>Demographics</topic><topic>Diabetes</topic><topic>Effectiveness</topic><topic>Female</topic><topic>Fibromyalgia</topic><topic>Fibromyalgia - physiopathology</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Internal medicine</topic><topic>Male</topic><topic>Mathematical models</topic><topic>Measurement methods</topic><topic>Medical schools</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Mental depression</topic><topic>Middle Aged</topic><topic>Modelling</topic><topic>Models, Theoretical</topic><topic>Pain</topic><topic>Patients</topic><topic>Physical Sciences</topic><topic>Prevalence studies (Epidemiology)</topic><topic>Prospective Studies</topic><topic>Psychological factors</topic><topic>Quality of Life</topic><topic>Research and Analysis Methods</topic><topic>Rheumatoid arthritis</topic><topic>Rheumatology</topic><topic>Risk factors</topic><topic>Social factors</topic><topic>Social interactions</topic><topic>Social Sciences</topic><topic>Social support</topic><topic>Sociodemographics</topic><topic>Software</topic><topic>Structural equation modeling</topic><topic>Studies</topic><topic>Surveys and Questionnaires</topic><topic>Systematic review</topic><topic>Variables</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Jeong-Won</creatorcontrib><creatorcontrib>Lee, Kyung-Eun</creatorcontrib><creatorcontrib>Park, Dong-Jin</creatorcontrib><creatorcontrib>Kim, Seong-Ho</creatorcontrib><creatorcontrib>Nah, Seong-Su</creatorcontrib><creatorcontrib>Lee, Ji Hyun</creatorcontrib><creatorcontrib>Kim, Seong-Kyu</creatorcontrib><creatorcontrib>Lee, Yeon-Ah</creatorcontrib><creatorcontrib>Hong, Seung-Jae</creatorcontrib><creatorcontrib>Kim, Hyun-Sook</creatorcontrib><creatorcontrib>Lee, Hye-Soon</creatorcontrib><creatorcontrib>Kim, Hyoun Ah</creatorcontrib><creatorcontrib>Joung, Chung-Il</creatorcontrib><creatorcontrib>Kim, Sang-Hyon</creatorcontrib><creatorcontrib>Lee, Shin-Seok</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale in Context : Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database (Proquest)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Database‎ (1962 - current)</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>Biological Sciences</collection><collection>Agriculture Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Jeong-Won</au><au>Lee, Kyung-Eun</au><au>Park, Dong-Jin</au><au>Kim, Seong-Ho</au><au>Nah, Seong-Su</au><au>Lee, Ji Hyun</au><au>Kim, Seong-Kyu</au><au>Lee, Yeon-Ah</au><au>Hong, Seung-Jae</au><au>Kim, Hyun-Sook</au><au>Lee, Hye-Soon</au><au>Kim, Hyoun Ah</au><au>Joung, Chung-Il</au><au>Kim, Sang-Hyon</au><au>Lee, Shin-Seok</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Determinants of quality of life in patients with fibromyalgia: A structural equation modeling approach</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-02-03</date><risdate>2017</risdate><volume>12</volume><issue>2</issue><spage>e0171186</spage><epage>e0171186</epage><pages>e0171186-e0171186</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Health-related quality of life (HRQOL) in patients with fibromyalgia (FM) is lower than in patients with other chronic diseases and the general population. Although various factors affect HRQOL, no study has examined a structural equation model of HRQOL as an outcome variable in FM patients. The present study assessed relationships among physical function, social factors, psychological factors, and HRQOL, and the effects of these variables on HRQOL in a hypothesized model using structural equation modeling (SEM). HRQOL was measured using SF-36, and the Fibromyalgia Impact Questionnaire (FIQ) was used to assess physical dysfunction. Social and psychological statuses were assessed using the Beck Depression Inventory (BDI), the State-Trait Anxiety Inventory (STAI), the Arthritis Self-Efficacy Scale (ASES), and the Social Support Scale. SEM analysis was used to test the structural relationships of the model using the AMOS software. Of the 336 patients, 301 (89.6%) were women with an average age of 47.9±10.9 years. The SEM results supported the hypothesized structural model (χ2 = 2.336, df = 3, p = 0.506). The final model showed that Physical Component Summary (PCS) was directly related to self-efficacy and inversely related to FIQ, and that Mental Component Summary (MCS) was inversely related to FIQ, BDI, and STAI. In our model of FM patients, HRQOL was affected by physical, social, and psychological variables. In these patients, higher levels of physical function and self-efficacy can improve the PCS of HRQOL, while physical function, depression, and anxiety negatively affect the MCS of HRQOL.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28158289</pmid><doi>10.1371/journal.pone.0171186</doi><tpages>e0171186</tpages><orcidid>https://orcid.org/0000-0001-6810-7355</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1932-6203
ispartof PloS one, 2017-02, Vol.12 (2), p.e0171186-e0171186
issn 1932-6203
1932-6203
language eng
recordid cdi_plos_journals_1864919394
source MEDLINE; Public Library of Science; DOAJ Directory of Open Access Journals; PubMed; Free Full-Text Journals in Chemistry; EZB Electronic Journals Library
subjects Adolescent
Adult
Aged
Analysis
Anxiety
Arthritis
Biology and Life Sciences
Care and treatment
Chronic illnesses
Demographics
Diabetes
Effectiveness
Female
Fibromyalgia
Fibromyalgia - physiopathology
Hospitals
Humans
Hypertension
Internal medicine
Male
Mathematical models
Measurement methods
Medical schools
Medicine
Medicine and Health Sciences
Mental depression
Middle Aged
Modelling
Models, Theoretical
Pain
Patients
Physical Sciences
Prevalence studies (Epidemiology)
Prospective Studies
Psychological factors
Quality of Life
Research and Analysis Methods
Rheumatoid arthritis
Rheumatology
Risk factors
Social factors
Social interactions
Social Sciences
Social support
Sociodemographics
Software
Structural equation modeling
Studies
Surveys and Questionnaires
Systematic review
Variables
Young Adult
title Determinants of quality of life in patients with fibromyalgia: A structural equation modeling approach
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T17%3A21%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Determinants%20of%20quality%20of%20life%20in%20patients%20with%20fibromyalgia:%20A%20structural%20equation%20modeling%20approach&rft.jtitle=PloS%20one&rft.au=Lee,%20Jeong-Won&rft.date=2017-02-03&rft.volume=12&rft.issue=2&rft.spage=e0171186&rft.epage=e0171186&rft.pages=e0171186-e0171186&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0171186&rft_dat=%3Cgale_plos_%3EA479994016%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1864919394&rft_id=info:pmid/28158289&rft_galeid=A479994016&rft_doaj_id=oai_doaj_org_article_c2b809a94abf47cb9355792eab07c7d6&rfr_iscdi=true