Factors associated with quality of life in patients with depression: A nationwide population-based study
Depression, one of the most costly and common mental disorders, is reported to be associated with lower quality of life (QoL) in several studies. Improved understanding of the associated factors with QoL is necessary to optimize long-term outcomes and reduce disability in patients with depression. T...
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creator | Cho, Yunji Lee, Joo Kyung Kim, Do-Hoon Park, Joo-Hyun Choi, Moonyoung Kim, Hyun-Jin Nam, Myung-Ji Lee, Kang-Uk Han, Kyungdo Park, Yong-Gyu |
description | Depression, one of the most costly and common mental disorders, is reported to be associated with lower quality of life (QoL) in several studies. Improved understanding of the associated factors with QoL is necessary to optimize long-term outcomes and reduce disability in patients with depression. Therefore, the aim of this study was to identify factors that are associated with lower QoL among patients with depression.
The study was based on the Korea National Health and Nutrition Examination Survey, a cross-sectional health examination, years 2008 to 2014. The final analyzed sample consisted of a total of 1,502 study subjects who had been diagnosed by clinicians as having depression. A multivariate logistic regression model was performed to exam the association between the clinical characteristics (age, sex, demographic and health-related characteristics) and QoL. Analysis of covariance was also used to analyze EQ-5D according to mental health.
Older age, lower level of education, lower income, worse subjective perception of health, unemployment, obesity and mental health struggles were found to be significantly associated with low QoL in depressive individuals after adjustment for multiple covariates.
This study has outlined grounding data in identifying patients who are at risk of QoL impairment. Policy makers should direct their interests to these individuals and provide appropriate management. |
doi_str_mv | 10.1371/journal.pone.0219455 |
format | Article |
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The study was based on the Korea National Health and Nutrition Examination Survey, a cross-sectional health examination, years 2008 to 2014. The final analyzed sample consisted of a total of 1,502 study subjects who had been diagnosed by clinicians as having depression. A multivariate logistic regression model was performed to exam the association between the clinical characteristics (age, sex, demographic and health-related characteristics) and QoL. Analysis of covariance was also used to analyze EQ-5D according to mental health.
Older age, lower level of education, lower income, worse subjective perception of health, unemployment, obesity and mental health struggles were found to be significantly associated with low QoL in depressive individuals after adjustment for multiple covariates.
This study has outlined grounding data in identifying patients who are at risk of QoL impairment. Policy makers should direct their interests to these individuals and provide appropriate management.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0219455</identifier><identifier>PMID: 31295291</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Aged ; Alcohol ; Analysis ; Biology and Life Sciences ; Care and treatment ; Chronic illnesses ; Covariance ; Cross-Sectional Studies ; Demographic aspects ; Demographics ; Depression (Mood disorder) ; Depression - epidemiology ; Depression - physiopathology ; Employment ; Female ; Health aspects ; Health Status ; Health surveys ; Hospitals ; Humans ; Male ; Medical examination ; Medical research ; Medicine ; Medicine and Health Sciences ; Mental depression ; Mental disorders ; Mental Health ; Metabolic syndrome ; Middle Aged ; Nutrition ; Nutrition Surveys ; Obesity ; Older people ; Patient outcomes ; People and Places ; Population studies ; Population-based studies ; Psychological aspects ; Public health ; Quality of Life ; Regression analysis ; Regression models ; Republic of Korea ; Suicidal behavior ; Surveys ; Surveys and Questionnaires ; Unemployment</subject><ispartof>PloS one, 2019-07, Vol.14 (7), p.e0219455-e0219455</ispartof><rights>COPYRIGHT 2019 Public Library of Science</rights><rights>2019 Cho 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>2019 Cho et al 2019 Cho et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-d6b89ffa75a35860d88b02071ce2b949707d9663db6db8647eff1a562f56f2fe3</citedby><cites>FETCH-LOGICAL-c692t-d6b89ffa75a35860d88b02071ce2b949707d9663db6db8647eff1a562f56f2fe3</cites><orcidid>0000-0001-7421-4501</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/PMC6623963/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6623963/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31295291$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Kleiman, Evan M</contributor><creatorcontrib>Cho, Yunji</creatorcontrib><creatorcontrib>Lee, Joo Kyung</creatorcontrib><creatorcontrib>Kim, Do-Hoon</creatorcontrib><creatorcontrib>Park, Joo-Hyun</creatorcontrib><creatorcontrib>Choi, Moonyoung</creatorcontrib><creatorcontrib>Kim, Hyun-Jin</creatorcontrib><creatorcontrib>Nam, Myung-Ji</creatorcontrib><creatorcontrib>Lee, Kang-Uk</creatorcontrib><creatorcontrib>Han, Kyungdo</creatorcontrib><creatorcontrib>Park, Yong-Gyu</creatorcontrib><title>Factors associated with quality of life in patients with depression: A nationwide population-based study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Depression, one of the most costly and common mental disorders, is reported to be associated with lower quality of life (QoL) in several studies. Improved understanding of the associated factors with QoL is necessary to optimize long-term outcomes and reduce disability in patients with depression. Therefore, the aim of this study was to identify factors that are associated with lower QoL among patients with depression.
The study was based on the Korea National Health and Nutrition Examination Survey, a cross-sectional health examination, years 2008 to 2014. The final analyzed sample consisted of a total of 1,502 study subjects who had been diagnosed by clinicians as having depression. A multivariate logistic regression model was performed to exam the association between the clinical characteristics (age, sex, demographic and health-related characteristics) and QoL. Analysis of covariance was also used to analyze EQ-5D according to mental health.
Older age, lower level of education, lower income, worse subjective perception of health, unemployment, obesity and mental health struggles were found to be significantly associated with low QoL in depressive individuals after adjustment for multiple covariates.
This study has outlined grounding data in identifying patients who are at risk of QoL impairment. Policy makers should direct their interests to these individuals and provide appropriate management.</description><subject>Aged</subject><subject>Alcohol</subject><subject>Analysis</subject><subject>Biology and Life Sciences</subject><subject>Care and treatment</subject><subject>Chronic illnesses</subject><subject>Covariance</subject><subject>Cross-Sectional Studies</subject><subject>Demographic aspects</subject><subject>Demographics</subject><subject>Depression (Mood disorder)</subject><subject>Depression - epidemiology</subject><subject>Depression - physiopathology</subject><subject>Employment</subject><subject>Female</subject><subject>Health aspects</subject><subject>Health Status</subject><subject>Health surveys</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Male</subject><subject>Medical examination</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Mental depression</subject><subject>Mental disorders</subject><subject>Mental Health</subject><subject>Metabolic syndrome</subject><subject>Middle Aged</subject><subject>Nutrition</subject><subject>Nutrition Surveys</subject><subject>Obesity</subject><subject>Older people</subject><subject>Patient outcomes</subject><subject>People and Places</subject><subject>Population studies</subject><subject>Population-based studies</subject><subject>Psychological aspects</subject><subject>Public health</subject><subject>Quality of Life</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Republic of Korea</subject><subject>Suicidal behavior</subject><subject>Surveys</subject><subject>Surveys and Questionnaires</subject><subject>Unemployment</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk1trFDEUxwdRbK1-A9EBQfRh11xmkokPwlKsLhQK3l5DJpfdlOxkmmSs--3N7k7LjvRB8pDk5Hf-J-ckpyheQjCHmMIP134InXDz3nd6DhBkVV0_Kk4hw2hGEMCPj9YnxbMYrwGocUPI0-IEQ8RqxOBpsb4QMvkQSxGjl1Ykrcpbm9blzSCcTdvSm9JZo0vblb1IVncpHgCl-6BjtL77WC7KLp_57tYqXfa-H9x-O2tFzHoxDWr7vHhihIv6xTifFT8vPv84_zq7vPqyPF9cziRhKM0UaRtmjKC1wHVDgGqaFiBAodSoZRWjgCpGCFYtUW1DKqqNgaImyNTEIKPxWfH6oNs7H_lYpMgRqgmklDVVJpYHQnlxzftgNyJsuReW7w0-rLgIyUqnOWpM3WqsKaxopUAlaItaDCokWimUJFnr0xhtaDdayVyeINxEdHrS2TVf-d-cEIQZwVng3SgQ_M2gY-IbG6V2TnTaD_t7U5Lzhk1G3_yDPpzdSK1ETsB2xue4cifKFzVDrKFkH3b-AJWH0hsr848yNtsnDu8nDplJ-k9aiSFGvvz-7f_Zq19T9u0Ru9bCpXX0bth9nzgFqwMog48xaHNfZAj4riHuqsF3DcHHhshur44f6N7prgPwXxjqB1Y</recordid><startdate>20190711</startdate><enddate>20190711</enddate><creator>Cho, 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associated with quality of life in patients with depression: A nationwide population-based study</title><author>Cho, Yunji ; Lee, Joo Kyung ; Kim, Do-Hoon ; Park, Joo-Hyun ; Choi, Moonyoung ; Kim, Hyun-Jin ; Nam, Myung-Ji ; Lee, Kang-Uk ; Han, Kyungdo ; Park, Yong-Gyu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-d6b89ffa75a35860d88b02071ce2b949707d9663db6db8647eff1a562f56f2fe3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Aged</topic><topic>Alcohol</topic><topic>Analysis</topic><topic>Biology and Life Sciences</topic><topic>Care and treatment</topic><topic>Chronic illnesses</topic><topic>Covariance</topic><topic>Cross-Sectional Studies</topic><topic>Demographic aspects</topic><topic>Demographics</topic><topic>Depression (Mood disorder)</topic><topic>Depression - epidemiology</topic><topic>Depression - 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One</addtitle><date>2019-07-11</date><risdate>2019</risdate><volume>14</volume><issue>7</issue><spage>e0219455</spage><epage>e0219455</epage><pages>e0219455-e0219455</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Depression, one of the most costly and common mental disorders, is reported to be associated with lower quality of life (QoL) in several studies. Improved understanding of the associated factors with QoL is necessary to optimize long-term outcomes and reduce disability in patients with depression. Therefore, the aim of this study was to identify factors that are associated with lower QoL among patients with depression.
The study was based on the Korea National Health and Nutrition Examination Survey, a cross-sectional health examination, years 2008 to 2014. The final analyzed sample consisted of a total of 1,502 study subjects who had been diagnosed by clinicians as having depression. A multivariate logistic regression model was performed to exam the association between the clinical characteristics (age, sex, demographic and health-related characteristics) and QoL. Analysis of covariance was also used to analyze EQ-5D according to mental health.
Older age, lower level of education, lower income, worse subjective perception of health, unemployment, obesity and mental health struggles were found to be significantly associated with low QoL in depressive individuals after adjustment for multiple covariates.
This study has outlined grounding data in identifying patients who are at risk of QoL impairment. Policy makers should direct their interests to these individuals and provide appropriate management.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>31295291</pmid><doi>10.1371/journal.pone.0219455</doi><tpages>e0219455</tpages><orcidid>https://orcid.org/0000-0001-7421-4501</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aged Alcohol Analysis Biology and Life Sciences Care and treatment Chronic illnesses Covariance Cross-Sectional Studies Demographic aspects Demographics Depression (Mood disorder) Depression - epidemiology Depression - physiopathology Employment Female Health aspects Health Status Health surveys Hospitals Humans Male Medical examination Medical research Medicine Medicine and Health Sciences Mental depression Mental disorders Mental Health Metabolic syndrome Middle Aged Nutrition Nutrition Surveys Obesity Older people Patient outcomes People and Places Population studies Population-based studies Psychological aspects Public health Quality of Life Regression analysis Regression models Republic of Korea Suicidal behavior Surveys Surveys and Questionnaires Unemployment |
title | Factors associated with quality of life in patients with depression: A nationwide population-based study |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T14%3A14%3A39IST&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=Factors%20associated%20with%20quality%20of%20life%20in%20patients%20with%20depression:%20A%20nationwide%20population-based%20study&rft.jtitle=PloS%20one&rft.au=Cho,%20Yunji&rft.date=2019-07-11&rft.volume=14&rft.issue=7&rft.spage=e0219455&rft.epage=e0219455&rft.pages=e0219455-e0219455&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0219455&rft_dat=%3Cgale_plos_%3EA592987663%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=2256177984&rft_id=info:pmid/31295291&rft_galeid=A592987663&rft_doaj_id=oai_doaj_org_article_28f5be3e71474d04a7b2b3042abcadc6&rfr_iscdi=true |