Examining the Trajectory of Health-Related Quality of Life among Coronavirus Disease Patients
Background Recent studies have reported a reduction in health-related quality of life (HR-QoL) among post-coronavirus disease 2019 (COVID-19) patients. However, there remains a gap in research examining the heterogeneity and determinants of HR-QoL trajectory in these patients. Objective To describe...
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Veröffentlicht in: | Journal of general internal medicine : JGIM 2024-08, Vol.39 (10), p.1820-1827 |
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creator | Li, Jia Wisnivesky, Juan P. Lin, Jenny J. Campbell, Kirk N. Hu, Liangyuan Kale, Minal S. |
description | Background
Recent studies have reported a reduction in health-related quality of life (HR-QoL) among post-coronavirus disease 2019 (COVID-19) patients. However, there remains a gap in research examining the heterogeneity and determinants of HR-QoL trajectory in these patients.
Objective
To describe and identify factors explaining the variability in HR-QoL trajectories among a cohort of patients with history of COVID-19.
Design
A prospective study using data from a cohort of COVID-19 patients enrolled into a registry established at a health system in New York City.
Participants
Participants were enrolled from July 2020 to June 2022, and completed a baseline evaluation and two follow-up visits at 6 and 12 months.
Methods
We assessed HR-QoL with the 29-item Patient Reported Outcomes Measurement Information System instrument, which was summarized into mental and physical health domains. We performed latent class growth and multinomial logistic regression to examine trajectories of HR-QoL and identify factors associated with specific trajectories.
Results
The study included 588 individuals with a median age of 52 years, 65% female, 54% White, 18% Black, and 18% Hispanic. We identified five physical health trajectories and four mental health trajectories. Female gender, having pre-existing hypertension, cardiovascular disease, asthma, and hospitalization for acute COVID-19 were independently associated with lower physical health. In addition, patients with increasing body mass index were more likely to experience lower physical health over time. Female gender, younger age, pre-existing asthma, arthritis and cardiovascular disease were associated with poor mental health.
Conclusions
We found significant heterogeneity of HR-QoL after COVID-19, with women and patients with specific comorbidities at increased risk of lower HR-QoL. Implementation of targeted psychological and physical interventions is crucial for enhancing the quality of life of this patient population. |
doi_str_mv | 10.1007/s11606-023-08575-9 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2910193950</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2910193950</sourcerecordid><originalsourceid>FETCH-LOGICAL-c326t-9d5236442a9674f5ce56c4abf7663c87fabd515ee2d5848e29666ac6319a54c73</originalsourceid><addsrcrecordid>eNp9kMtuFDEQRa0IRIaEH8giaikbNga_H0s0BII0EhCFJbI87urEo-52YrsR-XtMJgGJBata1Lm3SgehE0reUEL020KpIgoTxjExUktsD9CKSiYxFVY_QytijMBGc3GIXpayI4RyxswLdMgNVZYwtkLfz3_6Kc5xvu7qDXRX2e8g1JTvuzR0F-DHeoMvYfQV-u7r4sdYHzabOEDnp9Ri65TT7H_EvJTufSzgC3RffI0w13KMng9-LPDqcR6hbx_Or9YXePP546f1uw0OnKmKbS8ZV0Iwb5UWgwwgVRB-O2ileDB68NteUgnAemmEAWaVUj4oTq2XImh-hF7ve29zulugVDfFEmAc_QxpKY5ZSqjlVpKGnv2D7tKS5_ad48Q0b5oQ2Si2p0JOpWQY3G2Ok8_3jhL3W77by3dNvnuQ72wLnT5WL9sJ-j-RJ9sN4HugtNV8Dfnv7f_U_gLdw46I</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3084977005</pqid></control><display><type>article</type><title>Examining the Trajectory of Health-Related Quality of Life among Coronavirus Disease Patients</title><source>MEDLINE</source><source>SpringerNature Journals</source><creator>Li, Jia ; Wisnivesky, Juan P. ; Lin, Jenny J. ; Campbell, Kirk N. ; Hu, Liangyuan ; Kale, Minal S.</creator><creatorcontrib>Li, Jia ; Wisnivesky, Juan P. ; Lin, Jenny J. ; Campbell, Kirk N. ; Hu, Liangyuan ; Kale, Minal S.</creatorcontrib><description>Background
Recent studies have reported a reduction in health-related quality of life (HR-QoL) among post-coronavirus disease 2019 (COVID-19) patients. However, there remains a gap in research examining the heterogeneity and determinants of HR-QoL trajectory in these patients.
Objective
To describe and identify factors explaining the variability in HR-QoL trajectories among a cohort of patients with history of COVID-19.
Design
A prospective study using data from a cohort of COVID-19 patients enrolled into a registry established at a health system in New York City.
Participants
Participants were enrolled from July 2020 to June 2022, and completed a baseline evaluation and two follow-up visits at 6 and 12 months.
Methods
We assessed HR-QoL with the 29-item Patient Reported Outcomes Measurement Information System instrument, which was summarized into mental and physical health domains. We performed latent class growth and multinomial logistic regression to examine trajectories of HR-QoL and identify factors associated with specific trajectories.
Results
The study included 588 individuals with a median age of 52 years, 65% female, 54% White, 18% Black, and 18% Hispanic. We identified five physical health trajectories and four mental health trajectories. Female gender, having pre-existing hypertension, cardiovascular disease, asthma, and hospitalization for acute COVID-19 were independently associated with lower physical health. In addition, patients with increasing body mass index were more likely to experience lower physical health over time. Female gender, younger age, pre-existing asthma, arthritis and cardiovascular disease were associated with poor mental health.
Conclusions
We found significant heterogeneity of HR-QoL after COVID-19, with women and patients with specific comorbidities at increased risk of lower HR-QoL. Implementation of targeted psychological and physical interventions is crucial for enhancing the quality of life of this patient population.</description><identifier>ISSN: 0884-8734</identifier><identifier>ISSN: 1525-1497</identifier><identifier>EISSN: 1525-1497</identifier><identifier>DOI: 10.1007/s11606-023-08575-9</identifier><identifier>PMID: 38169022</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Adult ; Aged ; Asthma ; Body mass index ; Body size ; Cardiovascular disease ; Cardiovascular diseases ; Comorbidity ; Coronaviruses ; COVID-19 ; COVID-19 - epidemiology ; COVID-19 - psychology ; Design factors ; Female ; Females ; Gender ; Health Status ; Heterogeneity ; Humans ; Hypertension ; Internal Medicine ; Male ; Medicine ; Medicine & Public Health ; Mental Health ; Middle Aged ; New York City - epidemiology ; Original Research ; Patients ; Prospective Studies ; Quality of life ; Quality of Life - psychology ; SARS-CoV-2 ; Trajectory measurement ; Viral diseases</subject><ispartof>Journal of general internal medicine : JGIM, 2024-08, Vol.39 (10), p.1820-1827</ispartof><rights>The Author(s), under exclusive licence to Society of General Internal Medicine 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2023. The Author(s), under exclusive licence to Society of General Internal Medicine.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c326t-9d5236442a9674f5ce56c4abf7663c87fabd515ee2d5848e29666ac6319a54c73</cites><orcidid>0000-0002-5014-3662</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11606-023-08575-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11606-023-08575-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38169022$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Jia</creatorcontrib><creatorcontrib>Wisnivesky, Juan P.</creatorcontrib><creatorcontrib>Lin, Jenny J.</creatorcontrib><creatorcontrib>Campbell, Kirk N.</creatorcontrib><creatorcontrib>Hu, Liangyuan</creatorcontrib><creatorcontrib>Kale, Minal S.</creatorcontrib><title>Examining the Trajectory of Health-Related Quality of Life among Coronavirus Disease Patients</title><title>Journal of general internal medicine : JGIM</title><addtitle>J GEN INTERN MED</addtitle><addtitle>J Gen Intern Med</addtitle><description>Background
Recent studies have reported a reduction in health-related quality of life (HR-QoL) among post-coronavirus disease 2019 (COVID-19) patients. However, there remains a gap in research examining the heterogeneity and determinants of HR-QoL trajectory in these patients.
Objective
To describe and identify factors explaining the variability in HR-QoL trajectories among a cohort of patients with history of COVID-19.
Design
A prospective study using data from a cohort of COVID-19 patients enrolled into a registry established at a health system in New York City.
Participants
Participants were enrolled from July 2020 to June 2022, and completed a baseline evaluation and two follow-up visits at 6 and 12 months.
Methods
We assessed HR-QoL with the 29-item Patient Reported Outcomes Measurement Information System instrument, which was summarized into mental and physical health domains. We performed latent class growth and multinomial logistic regression to examine trajectories of HR-QoL and identify factors associated with specific trajectories.
Results
The study included 588 individuals with a median age of 52 years, 65% female, 54% White, 18% Black, and 18% Hispanic. We identified five physical health trajectories and four mental health trajectories. Female gender, having pre-existing hypertension, cardiovascular disease, asthma, and hospitalization for acute COVID-19 were independently associated with lower physical health. In addition, patients with increasing body mass index were more likely to experience lower physical health over time. Female gender, younger age, pre-existing asthma, arthritis and cardiovascular disease were associated with poor mental health.
Conclusions
We found significant heterogeneity of HR-QoL after COVID-19, with women and patients with specific comorbidities at increased risk of lower HR-QoL. Implementation of targeted psychological and physical interventions is crucial for enhancing the quality of life of this patient population.</description><subject>Adult</subject><subject>Aged</subject><subject>Asthma</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular diseases</subject><subject>Comorbidity</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - epidemiology</subject><subject>COVID-19 - psychology</subject><subject>Design factors</subject><subject>Female</subject><subject>Females</subject><subject>Gender</subject><subject>Health Status</subject><subject>Heterogeneity</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Internal Medicine</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Mental Health</subject><subject>Middle Aged</subject><subject>New York City - epidemiology</subject><subject>Original Research</subject><subject>Patients</subject><subject>Prospective Studies</subject><subject>Quality of life</subject><subject>Quality of Life - psychology</subject><subject>SARS-CoV-2</subject><subject>Trajectory measurement</subject><subject>Viral diseases</subject><issn>0884-8734</issn><issn>1525-1497</issn><issn>1525-1497</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kMtuFDEQRa0IRIaEH8giaikbNga_H0s0BII0EhCFJbI87urEo-52YrsR-XtMJgGJBata1Lm3SgehE0reUEL020KpIgoTxjExUktsD9CKSiYxFVY_QytijMBGc3GIXpayI4RyxswLdMgNVZYwtkLfz3_6Kc5xvu7qDXRX2e8g1JTvuzR0F-DHeoMvYfQV-u7r4sdYHzabOEDnp9Ri65TT7H_EvJTufSzgC3RffI0w13KMng9-LPDqcR6hbx_Or9YXePP546f1uw0OnKmKbS8ZV0Iwb5UWgwwgVRB-O2ileDB68NteUgnAemmEAWaVUj4oTq2XImh-hF7ve29zulugVDfFEmAc_QxpKY5ZSqjlVpKGnv2D7tKS5_ad48Q0b5oQ2Si2p0JOpWQY3G2Ok8_3jhL3W77by3dNvnuQ72wLnT5WL9sJ-j-RJ9sN4HugtNV8Dfnv7f_U_gLdw46I</recordid><startdate>20240801</startdate><enddate>20240801</enddate><creator>Li, Jia</creator><creator>Wisnivesky, Juan P.</creator><creator>Lin, Jenny J.</creator><creator>Campbell, Kirk N.</creator><creator>Hu, Liangyuan</creator><creator>Kale, Minal S.</creator><general>Springer International Publishing</general><general>Springer Nature B.V</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>7QL</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>K9.</scope><scope>M7N</scope><scope>NAPCQ</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-5014-3662</orcidid></search><sort><creationdate>20240801</creationdate><title>Examining the Trajectory of Health-Related Quality of Life among Coronavirus Disease Patients</title><author>Li, Jia ; Wisnivesky, Juan P. ; Lin, Jenny J. ; Campbell, Kirk N. ; Hu, Liangyuan ; Kale, Minal S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326t-9d5236442a9674f5ce56c4abf7663c87fabd515ee2d5848e29666ac6319a54c73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Asthma</topic><topic>Body mass index</topic><topic>Body size</topic><topic>Cardiovascular disease</topic><topic>Cardiovascular diseases</topic><topic>Comorbidity</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - epidemiology</topic><topic>COVID-19 - psychology</topic><topic>Design factors</topic><topic>Female</topic><topic>Females</topic><topic>Gender</topic><topic>Health Status</topic><topic>Heterogeneity</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Internal Medicine</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Mental Health</topic><topic>Middle Aged</topic><topic>New York City - epidemiology</topic><topic>Original Research</topic><topic>Patients</topic><topic>Prospective Studies</topic><topic>Quality of life</topic><topic>Quality of Life - psychology</topic><topic>SARS-CoV-2</topic><topic>Trajectory measurement</topic><topic>Viral diseases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Jia</creatorcontrib><creatorcontrib>Wisnivesky, Juan P.</creatorcontrib><creatorcontrib>Lin, Jenny J.</creatorcontrib><creatorcontrib>Campbell, Kirk N.</creatorcontrib><creatorcontrib>Hu, Liangyuan</creatorcontrib><creatorcontrib>Kale, Minal S.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of general internal medicine : JGIM</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Jia</au><au>Wisnivesky, Juan P.</au><au>Lin, Jenny J.</au><au>Campbell, Kirk N.</au><au>Hu, Liangyuan</au><au>Kale, Minal S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Examining the Trajectory of Health-Related Quality of Life among Coronavirus Disease Patients</atitle><jtitle>Journal of general internal medicine : JGIM</jtitle><stitle>J GEN INTERN MED</stitle><addtitle>J Gen Intern Med</addtitle><date>2024-08-01</date><risdate>2024</risdate><volume>39</volume><issue>10</issue><spage>1820</spage><epage>1827</epage><pages>1820-1827</pages><issn>0884-8734</issn><issn>1525-1497</issn><eissn>1525-1497</eissn><abstract>Background
Recent studies have reported a reduction in health-related quality of life (HR-QoL) among post-coronavirus disease 2019 (COVID-19) patients. However, there remains a gap in research examining the heterogeneity and determinants of HR-QoL trajectory in these patients.
Objective
To describe and identify factors explaining the variability in HR-QoL trajectories among a cohort of patients with history of COVID-19.
Design
A prospective study using data from a cohort of COVID-19 patients enrolled into a registry established at a health system in New York City.
Participants
Participants were enrolled from July 2020 to June 2022, and completed a baseline evaluation and two follow-up visits at 6 and 12 months.
Methods
We assessed HR-QoL with the 29-item Patient Reported Outcomes Measurement Information System instrument, which was summarized into mental and physical health domains. We performed latent class growth and multinomial logistic regression to examine trajectories of HR-QoL and identify factors associated with specific trajectories.
Results
The study included 588 individuals with a median age of 52 years, 65% female, 54% White, 18% Black, and 18% Hispanic. We identified five physical health trajectories and four mental health trajectories. Female gender, having pre-existing hypertension, cardiovascular disease, asthma, and hospitalization for acute COVID-19 were independently associated with lower physical health. In addition, patients with increasing body mass index were more likely to experience lower physical health over time. Female gender, younger age, pre-existing asthma, arthritis and cardiovascular disease were associated with poor mental health.
Conclusions
We found significant heterogeneity of HR-QoL after COVID-19, with women and patients with specific comorbidities at increased risk of lower HR-QoL. Implementation of targeted psychological and physical interventions is crucial for enhancing the quality of life of this patient population.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>38169022</pmid><doi>10.1007/s11606-023-08575-9</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-5014-3662</orcidid></addata></record> |
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subjects | Adult Aged Asthma Body mass index Body size Cardiovascular disease Cardiovascular diseases Comorbidity Coronaviruses COVID-19 COVID-19 - epidemiology COVID-19 - psychology Design factors Female Females Gender Health Status Heterogeneity Humans Hypertension Internal Medicine Male Medicine Medicine & Public Health Mental Health Middle Aged New York City - epidemiology Original Research Patients Prospective Studies Quality of life Quality of Life - psychology SARS-CoV-2 Trajectory measurement Viral diseases |
title | Examining the Trajectory of Health-Related Quality of Life among Coronavirus Disease Patients |
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