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Change in Health Literacy over a Decade in a Prospective Cohort of Community-Dwelling Older Adults
Background Health literacy is often viewed as a static trait in longitudinal studies, which may over or underestimate an individual’s ability to manage one’s health. Objectives We sought to examine health literacy over time among older adults using three widely used measures. Design A prospective co...
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Published in: | Journal of general internal medicine : JGIM 2021-04, Vol.36 (4), p.916-922 |
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container_title | Journal of general internal medicine : JGIM |
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description | Background
Health literacy is often viewed as a static trait in longitudinal studies, which may over or underestimate an individual’s ability to manage one’s health.
Objectives
We sought to examine health literacy over time among older adults using three widely used measures.
Design
A prospective cohort study.
Participants
Community-dwelling adults ages 55 to 74 at baseline with at least one follow-up visit (
N
= 656) recruited from one academic internal medicine clinic and six community health centers in Chicago, IL.
Measures
Health literacy was measured using the Test of Functional Health Literacy in Adults (TOFHLA), Newest Vital Sign (NVS), and Rapid Estimate of Adult Literacy in Medicine (REALM) at baseline and up to three follow-up time points.
Results
In unadjusted analyses, significant changes since baseline were found beginning at the second follow-up (mean (
M
) = 6.0 years, SD = 0.6) for the TOFHLA (
M
= − 0.9, SD = 0.95,
p
= 0.049) and the REALM (
M
= 0.3, SD = 2.5,
p
= 0.004) and at the last follow-up (
M
= 8.6 years, SD = 0.5) for the NVS (
M
= − 0.2, SD = 1.4,
p
= 0.02). There were non-linear effects of baseline age on TOFHLA and NVS scores over time (piecewise cubic spline
p
= 0.01 and
p
< 0.001, respectively) and no effect on REALM scores (
B
= 0.02, 95% CI − 0.01 to 0.04,
p
= 0.17) using multivariable mixed-effects linear regression models, controlling for race, education, income, and comorbidity.
Conclusion
We found a negative relationship between age and health literacy over time as measured by the TOFHLA and NVS. Health literacy barriers appear to be more prevalent among individuals in later life, when self-care demands are similarly increasing. Clinicians might consider strategies to assess and respond to limited health literacy, particularly among patients 70 and older. REALM performance remained stable over 10 years of follow-up. This questions whether health literacy tools measure the same attribute. Prospective health literacy studies should carefully consider what measures to use, depending on their objective. |
doi_str_mv | 10.1007/s11606-020-06423-8 |
format | article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8042084</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2487748669</sourcerecordid><originalsourceid>FETCH-LOGICAL-c474t-5203b10976f24d8e997c4a6bb57cba50b88a828dd030b23348873fecb6c1e05a3</originalsourceid><addsrcrecordid>eNp9kUtv1DAUhS0EokPhD7BAltiwCVy_nQ1SNQWKNFJZwNpyHGfGVRIPtjPV_HtMp5THgpUt3e8c3-OD0EsCbwmAepcJkSAboNCA5JQ1-hFaEUFFQ3irHqMVaM0brRg_Q89yvgEgjFL9FJ0xJkQLUq9Qt97ZeetxmPGVt2PZ4U0oPll3xPHgE7b40jvb3wEWf0kx770r4eDxOu5iKjgO9TZNyxzKsbm89eMY5i2-HvsqvuiXseTn6Mlgx-xf3J_n6NvHD1_XV83m-tPn9cWmcVzx0ggKrCPQKjlQ3mvftspxK7tOKNdZAZ3WVlPd98Cgo4xxXZMN3nXSEQ_CsnP0_uS7X7rJ987PJdnR7FOYbDqaaIP5ezKHndnGg9HAKWheDd7cG6T4ffG5mClkVxPZ2cclG8q1UlxL2Vb09T_oTVzSXOMZKggRircEKkVPlKv_lpMfHpYhYH5WaE4VmlqhuavQ6Cp69WeMB8mvzirATkCuo9pd-v32f2x_AGRPpsU</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2511574910</pqid></control><display><type>article</type><title>Change in Health Literacy over a Decade in a Prospective Cohort of Community-Dwelling Older Adults</title><source>Springer Nature</source><source>PubMed Central</source><creator>Curtis, Laura M. ; Kwasny, Mary J. ; Opsasnick, Lauren ; O’Conor, Rachel M. ; Yoshino-Benavente, Julia ; Eifler, Morgan ; Federman, Alex D. ; Altschul, Drew ; Wolf, Michael S.</creator><creatorcontrib>Curtis, Laura M. ; Kwasny, Mary J. ; Opsasnick, Lauren ; O’Conor, Rachel M. ; Yoshino-Benavente, Julia ; Eifler, Morgan ; Federman, Alex D. ; Altschul, Drew ; Wolf, Michael S.</creatorcontrib><description>Background
Health literacy is often viewed as a static trait in longitudinal studies, which may over or underestimate an individual’s ability to manage one’s health.
Objectives
We sought to examine health literacy over time among older adults using three widely used measures.
Design
A prospective cohort study.
Participants
Community-dwelling adults ages 55 to 74 at baseline with at least one follow-up visit (
N
= 656) recruited from one academic internal medicine clinic and six community health centers in Chicago, IL.
Measures
Health literacy was measured using the Test of Functional Health Literacy in Adults (TOFHLA), Newest Vital Sign (NVS), and Rapid Estimate of Adult Literacy in Medicine (REALM) at baseline and up to three follow-up time points.
Results
In unadjusted analyses, significant changes since baseline were found beginning at the second follow-up (mean (
M
) = 6.0 years, SD = 0.6) for the TOFHLA (
M
= − 0.9, SD = 0.95,
p
= 0.049) and the REALM (
M
= 0.3, SD = 2.5,
p
= 0.004) and at the last follow-up (
M
= 8.6 years, SD = 0.5) for the NVS (
M
= − 0.2, SD = 1.4,
p
= 0.02). There were non-linear effects of baseline age on TOFHLA and NVS scores over time (piecewise cubic spline
p
= 0.01 and
p
< 0.001, respectively) and no effect on REALM scores (
B
= 0.02, 95% CI − 0.01 to 0.04,
p
= 0.17) using multivariable mixed-effects linear regression models, controlling for race, education, income, and comorbidity.
Conclusion
We found a negative relationship between age and health literacy over time as measured by the TOFHLA and NVS. Health literacy barriers appear to be more prevalent among individuals in later life, when self-care demands are similarly increasing. Clinicians might consider strategies to assess and respond to limited health literacy, particularly among patients 70 and older. REALM performance remained stable over 10 years of follow-up. This questions whether health literacy tools measure the same attribute. Prospective health literacy studies should carefully consider what measures to use, depending on their objective.</description><identifier>ISSN: 0884-8734</identifier><identifier>EISSN: 1525-1497</identifier><identifier>DOI: 10.1007/s11606-020-06423-8</identifier><identifier>PMID: 33559068</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Adults ; Aged ; Chicago - epidemiology ; Cohort Studies ; Correlation analysis ; Cross-Sectional Studies ; Health education ; Health Literacy ; Humans ; Independent Living ; Internal Medicine ; Longitudinal studies ; Medicine ; Medicine & Public Health ; Middle Aged ; Multivariable control ; Older people ; Original Research ; Prospective Studies ; Regression analysis ; Regression models ; Surveys and Questionnaires ; Time measurement</subject><ispartof>Journal of general internal medicine : JGIM, 2021-04, Vol.36 (4), p.916-922</ispartof><rights>Society of General Internal Medicine 2021</rights><rights>Society of General Internal Medicine 2021.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-5203b10976f24d8e997c4a6bb57cba50b88a828dd030b23348873fecb6c1e05a3</citedby><cites>FETCH-LOGICAL-c474t-5203b10976f24d8e997c4a6bb57cba50b88a828dd030b23348873fecb6c1e05a3</cites><orcidid>0000-0003-2380-2201</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/PMC8042084/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042084/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33559068$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Curtis, Laura M.</creatorcontrib><creatorcontrib>Kwasny, Mary J.</creatorcontrib><creatorcontrib>Opsasnick, Lauren</creatorcontrib><creatorcontrib>O’Conor, Rachel M.</creatorcontrib><creatorcontrib>Yoshino-Benavente, Julia</creatorcontrib><creatorcontrib>Eifler, Morgan</creatorcontrib><creatorcontrib>Federman, Alex D.</creatorcontrib><creatorcontrib>Altschul, Drew</creatorcontrib><creatorcontrib>Wolf, Michael S.</creatorcontrib><title>Change in Health Literacy over a Decade in a Prospective Cohort of Community-Dwelling Older Adults</title><title>Journal of general internal medicine : JGIM</title><addtitle>J GEN INTERN MED</addtitle><addtitle>J Gen Intern Med</addtitle><description>Background
Health literacy is often viewed as a static trait in longitudinal studies, which may over or underestimate an individual’s ability to manage one’s health.
Objectives
We sought to examine health literacy over time among older adults using three widely used measures.
Design
A prospective cohort study.
Participants
Community-dwelling adults ages 55 to 74 at baseline with at least one follow-up visit (
N
= 656) recruited from one academic internal medicine clinic and six community health centers in Chicago, IL.
Measures
Health literacy was measured using the Test of Functional Health Literacy in Adults (TOFHLA), Newest Vital Sign (NVS), and Rapid Estimate of Adult Literacy in Medicine (REALM) at baseline and up to three follow-up time points.
Results
In unadjusted analyses, significant changes since baseline were found beginning at the second follow-up (mean (
M
) = 6.0 years, SD = 0.6) for the TOFHLA (
M
= − 0.9, SD = 0.95,
p
= 0.049) and the REALM (
M
= 0.3, SD = 2.5,
p
= 0.004) and at the last follow-up (
M
= 8.6 years, SD = 0.5) for the NVS (
M
= − 0.2, SD = 1.4,
p
= 0.02). There were non-linear effects of baseline age on TOFHLA and NVS scores over time (piecewise cubic spline
p
= 0.01 and
p
< 0.001, respectively) and no effect on REALM scores (
B
= 0.02, 95% CI − 0.01 to 0.04,
p
= 0.17) using multivariable mixed-effects linear regression models, controlling for race, education, income, and comorbidity.
Conclusion
We found a negative relationship between age and health literacy over time as measured by the TOFHLA and NVS. Health literacy barriers appear to be more prevalent among individuals in later life, when self-care demands are similarly increasing. Clinicians might consider strategies to assess and respond to limited health literacy, particularly among patients 70 and older. REALM performance remained stable over 10 years of follow-up. This questions whether health literacy tools measure the same attribute. Prospective health literacy studies should carefully consider what measures to use, depending on their objective.</description><subject>Adults</subject><subject>Aged</subject><subject>Chicago - epidemiology</subject><subject>Cohort Studies</subject><subject>Correlation analysis</subject><subject>Cross-Sectional Studies</subject><subject>Health education</subject><subject>Health Literacy</subject><subject>Humans</subject><subject>Independent Living</subject><subject>Internal Medicine</subject><subject>Longitudinal studies</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Multivariable control</subject><subject>Older people</subject><subject>Original Research</subject><subject>Prospective Studies</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Surveys and Questionnaires</subject><subject>Time measurement</subject><issn>0884-8734</issn><issn>1525-1497</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kUtv1DAUhS0EokPhD7BAltiwCVy_nQ1SNQWKNFJZwNpyHGfGVRIPtjPV_HtMp5THgpUt3e8c3-OD0EsCbwmAepcJkSAboNCA5JQ1-hFaEUFFQ3irHqMVaM0brRg_Q89yvgEgjFL9FJ0xJkQLUq9Qt97ZeetxmPGVt2PZ4U0oPll3xPHgE7b40jvb3wEWf0kx770r4eDxOu5iKjgO9TZNyxzKsbm89eMY5i2-HvsqvuiXseTn6Mlgx-xf3J_n6NvHD1_XV83m-tPn9cWmcVzx0ggKrCPQKjlQ3mvftspxK7tOKNdZAZ3WVlPd98Cgo4xxXZMN3nXSEQ_CsnP0_uS7X7rJ987PJdnR7FOYbDqaaIP5ezKHndnGg9HAKWheDd7cG6T4ffG5mClkVxPZ2cclG8q1UlxL2Vb09T_oTVzSXOMZKggRircEKkVPlKv_lpMfHpYhYH5WaE4VmlqhuavQ6Cp69WeMB8mvzirATkCuo9pd-v32f2x_AGRPpsU</recordid><startdate>20210401</startdate><enddate>20210401</enddate><creator>Curtis, Laura M.</creator><creator>Kwasny, Mary J.</creator><creator>Opsasnick, Lauren</creator><creator>O’Conor, Rachel M.</creator><creator>Yoshino-Benavente, Julia</creator><creator>Eifler, Morgan</creator><creator>Federman, Alex D.</creator><creator>Altschul, Drew</creator><creator>Wolf, Michael 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>3V.</scope><scope>7QL</scope><scope>7RV</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>8AO</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2O</scope><scope>M7N</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-2380-2201</orcidid></search><sort><creationdate>20210401</creationdate><title>Change in Health Literacy over a Decade in a Prospective Cohort of Community-Dwelling Older Adults</title><author>Curtis, Laura M. ; Kwasny, Mary J. ; Opsasnick, Lauren ; O’Conor, Rachel M. ; Yoshino-Benavente, Julia ; Eifler, Morgan ; Federman, Alex D. ; Altschul, Drew ; Wolf, Michael S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-5203b10976f24d8e997c4a6bb57cba50b88a828dd030b23348873fecb6c1e05a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adults</topic><topic>Aged</topic><topic>Chicago - epidemiology</topic><topic>Cohort Studies</topic><topic>Correlation analysis</topic><topic>Cross-Sectional Studies</topic><topic>Health education</topic><topic>Health Literacy</topic><topic>Humans</topic><topic>Independent Living</topic><topic>Internal Medicine</topic><topic>Longitudinal studies</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Multivariable control</topic><topic>Older people</topic><topic>Original Research</topic><topic>Prospective Studies</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Surveys and Questionnaires</topic><topic>Time measurement</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Curtis, Laura M.</creatorcontrib><creatorcontrib>Kwasny, Mary J.</creatorcontrib><creatorcontrib>Opsasnick, Lauren</creatorcontrib><creatorcontrib>O’Conor, Rachel M.</creatorcontrib><creatorcontrib>Yoshino-Benavente, Julia</creatorcontrib><creatorcontrib>Eifler, Morgan</creatorcontrib><creatorcontrib>Federman, Alex D.</creatorcontrib><creatorcontrib>Altschul, Drew</creatorcontrib><creatorcontrib>Wolf, Michael 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>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Nursing & Allied Health Database</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</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>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>ProQuest research library</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</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>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of general internal medicine : JGIM</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Curtis, Laura M.</au><au>Kwasny, Mary J.</au><au>Opsasnick, Lauren</au><au>O’Conor, Rachel M.</au><au>Yoshino-Benavente, Julia</au><au>Eifler, Morgan</au><au>Federman, Alex D.</au><au>Altschul, Drew</au><au>Wolf, Michael S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Change in Health Literacy over a Decade in a Prospective Cohort of Community-Dwelling Older Adults</atitle><jtitle>Journal of general internal medicine : JGIM</jtitle><stitle>J GEN INTERN MED</stitle><addtitle>J Gen Intern Med</addtitle><date>2021-04-01</date><risdate>2021</risdate><volume>36</volume><issue>4</issue><spage>916</spage><epage>922</epage><pages>916-922</pages><issn>0884-8734</issn><eissn>1525-1497</eissn><abstract>Background
Health literacy is often viewed as a static trait in longitudinal studies, which may over or underestimate an individual’s ability to manage one’s health.
Objectives
We sought to examine health literacy over time among older adults using three widely used measures.
Design
A prospective cohort study.
Participants
Community-dwelling adults ages 55 to 74 at baseline with at least one follow-up visit (
N
= 656) recruited from one academic internal medicine clinic and six community health centers in Chicago, IL.
Measures
Health literacy was measured using the Test of Functional Health Literacy in Adults (TOFHLA), Newest Vital Sign (NVS), and Rapid Estimate of Adult Literacy in Medicine (REALM) at baseline and up to three follow-up time points.
Results
In unadjusted analyses, significant changes since baseline were found beginning at the second follow-up (mean (
M
) = 6.0 years, SD = 0.6) for the TOFHLA (
M
= − 0.9, SD = 0.95,
p
= 0.049) and the REALM (
M
= 0.3, SD = 2.5,
p
= 0.004) and at the last follow-up (
M
= 8.6 years, SD = 0.5) for the NVS (
M
= − 0.2, SD = 1.4,
p
= 0.02). There were non-linear effects of baseline age on TOFHLA and NVS scores over time (piecewise cubic spline
p
= 0.01 and
p
< 0.001, respectively) and no effect on REALM scores (
B
= 0.02, 95% CI − 0.01 to 0.04,
p
= 0.17) using multivariable mixed-effects linear regression models, controlling for race, education, income, and comorbidity.
Conclusion
We found a negative relationship between age and health literacy over time as measured by the TOFHLA and NVS. Health literacy barriers appear to be more prevalent among individuals in later life, when self-care demands are similarly increasing. Clinicians might consider strategies to assess and respond to limited health literacy, particularly among patients 70 and older. REALM performance remained stable over 10 years of follow-up. This questions whether health literacy tools measure the same attribute. Prospective health literacy studies should carefully consider what measures to use, depending on their objective.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>33559068</pmid><doi>10.1007/s11606-020-06423-8</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0003-2380-2201</orcidid><oa>free_for_read</oa></addata></record> |
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language | eng |
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source | Springer Nature; PubMed Central |
subjects | Adults Aged Chicago - epidemiology Cohort Studies Correlation analysis Cross-Sectional Studies Health education Health Literacy Humans Independent Living Internal Medicine Longitudinal studies Medicine Medicine & Public Health Middle Aged Multivariable control Older people Original Research Prospective Studies Regression analysis Regression models Surveys and Questionnaires Time measurement |
title | Change in Health Literacy over a Decade in a Prospective Cohort of Community-Dwelling Older Adults |
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