Fatigue, as measured using the Modified Fatigue Impact Scale, is a predictor of processing speed improvement induced by exercise in patients with multiple sclerosis: data from a randomized controlled trial
Background Few studies have evaluated the impact of physical activity (PA) on cognition and fatigue, and none have considered the effects of PA on the relationship between cognition and fatigue. Objectives We evaluated the effect of PA in people with multiple sclerosis (pwMS) in a 6-month-long singl...
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| Veröffentlicht in: | Journal of neurology 2018-06, Vol.265 (6), p.1328-1333 |
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| creator | Coghe, Giancarlo Corona, Federica Marongiu, Elisabetta Fenu, Giuseppe Frau, Jessica Lorefice, Lorena Crisafulli, Antonio Galli, Manuela Concu, Alberto Marrosu, Maria Giovanna Pau, Massimiliano Cocco, Eleonora |
| description | Background
Few studies have evaluated the impact of physical activity (PA) on cognition and fatigue, and none have considered the effects of PA on the relationship between cognition and fatigue.
Objectives
We evaluated the effect of PA in people with multiple sclerosis (pwMS) in a 6-month-long single-blind randomized controlled trial. We focused on the impact of exercise on cognition, fatigue, and the relationship between cognition and fatigue.
Methods
We recruited pwMS, who were then randomly assigned 1:1 to either a PA protocol group or a control group (CG). All patients underwent assessments using the Brief International Cognitive Assessment for Multiple Sclerosis including symbol digit modality test (SDMT), Berg Balance Scale (BBS), gait analysis, 6-Minute Walk Test, Timed Up and Go (TUG) test, and the Modified Fatigue Impact Scale (MFIS) at the beginning of the study (T0), at the end of the study (EOS) 24 weeks after T0, and at 24 weeks following the EOS (FU).
Results
A Wilcoxon test revealed a significant effect of exercise in the PA group, but not in the CG. Significant differences between T0 and EOS were found in the spatiotemporal parameters of gait, and performance on the SDMT, TUG, BBS, and MFIS. These differences were also present during the FU period. A regression model revealed that the baseline MFIS score predicted processing speed improvement (
R
2
= 0.65,
p
|
| doi_str_mv | 10.1007/s00415-018-8836-5 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2018665204</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2017547977</sourcerecordid><originalsourceid>FETCH-LOGICAL-c372t-d2e819ec500cabb1fa9851ed853532f8b83d26ee1cd89b712d627c3edf5aefc83</originalsourceid><addsrcrecordid>eNp1kcFuFSEUhonR2Gv1AdwYEjddOBWYYYZx1zRWm9S4UNcTBs7c0sAwAqOt7-g79VzvVRMTV8A53_8f4CfkOWennLHudWas4bJiXFVK1W0lH5ANb2pR8Ub2D8mG1Q2rZC2bI_Ik5xvGmMLGY3Iketk1UrYb8vNCF7dd4RXVmQbQeU1g6ZrdvKXlGuiHaN3ksHTg6GVYtCn0k9EeRS5TTReUOFNionHCQzSQf-nzAih0AUvfIMBcqJvtarA23lG4hWRcBqzRBb2xnel3V65pWH1xiweajYcUs8tvqNVF0ynFgOOSnm0M7gf6mDiXFL3HbUlO-6fk0aR9hmeH9Zh8uXj7-fx9dfXx3eX52VVl6k6UygpQvAcjGTN6HPmkeyU5WIV_VYtJjaq2ogXgxqp-7LiwrehMDXaSGiaj6mNysvfFp31dIZchuGzAez1DXPMgMJK2lYI1iL78B72Ja5rxdjuqk03Xdx1SfE8ZfHBOMA1LckGnu4GzYZf1sM96QONhl_UgUfPi4LyOAewfxe9wERB7IGNr3kL6O_r_rvfuWbk9</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2017547977</pqid></control><display><type>article</type><title>Fatigue, as measured using the Modified Fatigue Impact Scale, is a predictor of processing speed improvement induced by exercise in patients with multiple sclerosis: data from a randomized controlled trial</title><source>SpringerLink Journals - AutoHoldings</source><creator>Coghe, Giancarlo ; Corona, Federica ; Marongiu, Elisabetta ; Fenu, Giuseppe ; Frau, Jessica ; Lorefice, Lorena ; Crisafulli, Antonio ; Galli, Manuela ; Concu, Alberto ; Marrosu, Maria Giovanna ; Pau, Massimiliano ; Cocco, Eleonora</creator><creatorcontrib>Coghe, Giancarlo ; Corona, Federica ; Marongiu, Elisabetta ; Fenu, Giuseppe ; Frau, Jessica ; Lorefice, Lorena ; Crisafulli, Antonio ; Galli, Manuela ; Concu, Alberto ; Marrosu, Maria Giovanna ; Pau, Massimiliano ; Cocco, Eleonora</creatorcontrib><description>Background
Few studies have evaluated the impact of physical activity (PA) on cognition and fatigue, and none have considered the effects of PA on the relationship between cognition and fatigue.
Objectives
We evaluated the effect of PA in people with multiple sclerosis (pwMS) in a 6-month-long single-blind randomized controlled trial. We focused on the impact of exercise on cognition, fatigue, and the relationship between cognition and fatigue.
Methods
We recruited pwMS, who were then randomly assigned 1:1 to either a PA protocol group or a control group (CG). All patients underwent assessments using the Brief International Cognitive Assessment for Multiple Sclerosis including symbol digit modality test (SDMT), Berg Balance Scale (BBS), gait analysis, 6-Minute Walk Test, Timed Up and Go (TUG) test, and the Modified Fatigue Impact Scale (MFIS) at the beginning of the study (T0), at the end of the study (EOS) 24 weeks after T0, and at 24 weeks following the EOS (FU).
Results
A Wilcoxon test revealed a significant effect of exercise in the PA group, but not in the CG. Significant differences between T0 and EOS were found in the spatiotemporal parameters of gait, and performance on the SDMT, TUG, BBS, and MFIS. These differences were also present during the FU period. A regression model revealed that the baseline MFIS score predicted processing speed improvement (
R
2
= 0.65,
p
< 0.01), as the SDMT T score increased by 0.3 for each one-unit increase in the MFIS score at T0.
Conclusion
PA affects multiple aspects of the pathology in pwMS. Patients with greater fatigue must not be discouraged from exercise, as they may greatly benefit from PA. Specifically, PA was shown to improve information processing speed.</description><identifier>ISSN: 0340-5354</identifier><identifier>EISSN: 1432-1459</identifier><identifier>DOI: 10.1007/s00415-018-8836-5</identifier><identifier>PMID: 29574556</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Balance ; Clinical trials ; Cognition & reasoning ; Cognitive ability ; Exercise ; Fatigue ; Gait ; Information processing ; Medicine ; Medicine & Public Health ; Multiple sclerosis ; Neurology ; Neuroradiology ; Neurosciences ; Original Communication ; Physical activity ; Physical fitness ; Physical training</subject><ispartof>Journal of neurology, 2018-06, Vol.265 (6), p.1328-1333</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2018</rights><rights>Journal of Neurology is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-d2e819ec500cabb1fa9851ed853532f8b83d26ee1cd89b712d627c3edf5aefc83</citedby><cites>FETCH-LOGICAL-c372t-d2e819ec500cabb1fa9851ed853532f8b83d26ee1cd89b712d627c3edf5aefc83</cites><orcidid>0000-0002-3796-3279</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/s00415-018-8836-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00415-018-8836-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29574556$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Coghe, Giancarlo</creatorcontrib><creatorcontrib>Corona, Federica</creatorcontrib><creatorcontrib>Marongiu, Elisabetta</creatorcontrib><creatorcontrib>Fenu, Giuseppe</creatorcontrib><creatorcontrib>Frau, Jessica</creatorcontrib><creatorcontrib>Lorefice, Lorena</creatorcontrib><creatorcontrib>Crisafulli, Antonio</creatorcontrib><creatorcontrib>Galli, Manuela</creatorcontrib><creatorcontrib>Concu, Alberto</creatorcontrib><creatorcontrib>Marrosu, Maria Giovanna</creatorcontrib><creatorcontrib>Pau, Massimiliano</creatorcontrib><creatorcontrib>Cocco, Eleonora</creatorcontrib><title>Fatigue, as measured using the Modified Fatigue Impact Scale, is a predictor of processing speed improvement induced by exercise in patients with multiple sclerosis: data from a randomized controlled trial</title><title>Journal of neurology</title><addtitle>J Neurol</addtitle><addtitle>J Neurol</addtitle><description>Background
Few studies have evaluated the impact of physical activity (PA) on cognition and fatigue, and none have considered the effects of PA on the relationship between cognition and fatigue.
Objectives
We evaluated the effect of PA in people with multiple sclerosis (pwMS) in a 6-month-long single-blind randomized controlled trial. We focused on the impact of exercise on cognition, fatigue, and the relationship between cognition and fatigue.
Methods
We recruited pwMS, who were then randomly assigned 1:1 to either a PA protocol group or a control group (CG). All patients underwent assessments using the Brief International Cognitive Assessment for Multiple Sclerosis including symbol digit modality test (SDMT), Berg Balance Scale (BBS), gait analysis, 6-Minute Walk Test, Timed Up and Go (TUG) test, and the Modified Fatigue Impact Scale (MFIS) at the beginning of the study (T0), at the end of the study (EOS) 24 weeks after T0, and at 24 weeks following the EOS (FU).
Results
A Wilcoxon test revealed a significant effect of exercise in the PA group, but not in the CG. Significant differences between T0 and EOS were found in the spatiotemporal parameters of gait, and performance on the SDMT, TUG, BBS, and MFIS. These differences were also present during the FU period. A regression model revealed that the baseline MFIS score predicted processing speed improvement (
R
2
= 0.65,
p
< 0.01), as the SDMT T score increased by 0.3 for each one-unit increase in the MFIS score at T0.
Conclusion
PA affects multiple aspects of the pathology in pwMS. Patients with greater fatigue must not be discouraged from exercise, as they may greatly benefit from PA. Specifically, PA was shown to improve information processing speed.</description><subject>Balance</subject><subject>Clinical trials</subject><subject>Cognition & reasoning</subject><subject>Cognitive ability</subject><subject>Exercise</subject><subject>Fatigue</subject><subject>Gait</subject><subject>Information processing</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Multiple sclerosis</subject><subject>Neurology</subject><subject>Neuroradiology</subject><subject>Neurosciences</subject><subject>Original Communication</subject><subject>Physical activity</subject><subject>Physical fitness</subject><subject>Physical training</subject><issn>0340-5354</issn><issn>1432-1459</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp1kcFuFSEUhonR2Gv1AdwYEjddOBWYYYZx1zRWm9S4UNcTBs7c0sAwAqOt7-g79VzvVRMTV8A53_8f4CfkOWennLHudWas4bJiXFVK1W0lH5ANb2pR8Ub2D8mG1Q2rZC2bI_Ik5xvGmMLGY3Iketk1UrYb8vNCF7dd4RXVmQbQeU1g6ZrdvKXlGuiHaN3ksHTg6GVYtCn0k9EeRS5TTReUOFNionHCQzSQf-nzAih0AUvfIMBcqJvtarA23lG4hWRcBqzRBb2xnel3V65pWH1xiweajYcUs8tvqNVF0ynFgOOSnm0M7gf6mDiXFL3HbUlO-6fk0aR9hmeH9Zh8uXj7-fx9dfXx3eX52VVl6k6UygpQvAcjGTN6HPmkeyU5WIV_VYtJjaq2ogXgxqp-7LiwrehMDXaSGiaj6mNysvfFp31dIZchuGzAez1DXPMgMJK2lYI1iL78B72Ja5rxdjuqk03Xdx1SfE8ZfHBOMA1LckGnu4GzYZf1sM96QONhl_UgUfPi4LyOAewfxe9wERB7IGNr3kL6O_r_rvfuWbk9</recordid><startdate>20180601</startdate><enddate>20180601</enddate><creator>Coghe, Giancarlo</creator><creator>Corona, Federica</creator><creator>Marongiu, Elisabetta</creator><creator>Fenu, Giuseppe</creator><creator>Frau, Jessica</creator><creator>Lorefice, Lorena</creator><creator>Crisafulli, Antonio</creator><creator>Galli, Manuela</creator><creator>Concu, Alberto</creator><creator>Marrosu, Maria Giovanna</creator><creator>Pau, Massimiliano</creator><creator>Cocco, Eleonora</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-3796-3279</orcidid></search><sort><creationdate>20180601</creationdate><title>Fatigue, as measured using the Modified Fatigue Impact Scale, is a predictor of processing speed improvement induced by exercise in patients with multiple sclerosis: data from a randomized controlled trial</title><author>Coghe, Giancarlo ; Corona, Federica ; Marongiu, Elisabetta ; Fenu, Giuseppe ; Frau, Jessica ; Lorefice, Lorena ; Crisafulli, Antonio ; Galli, Manuela ; Concu, Alberto ; Marrosu, Maria Giovanna ; Pau, Massimiliano ; Cocco, Eleonora</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-d2e819ec500cabb1fa9851ed853532f8b83d26ee1cd89b712d627c3edf5aefc83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Balance</topic><topic>Clinical trials</topic><topic>Cognition & reasoning</topic><topic>Cognitive ability</topic><topic>Exercise</topic><topic>Fatigue</topic><topic>Gait</topic><topic>Information processing</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Multiple sclerosis</topic><topic>Neurology</topic><topic>Neuroradiology</topic><topic>Neurosciences</topic><topic>Original Communication</topic><topic>Physical activity</topic><topic>Physical fitness</topic><topic>Physical training</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Coghe, Giancarlo</creatorcontrib><creatorcontrib>Corona, Federica</creatorcontrib><creatorcontrib>Marongiu, Elisabetta</creatorcontrib><creatorcontrib>Fenu, Giuseppe</creatorcontrib><creatorcontrib>Frau, Jessica</creatorcontrib><creatorcontrib>Lorefice, Lorena</creatorcontrib><creatorcontrib>Crisafulli, Antonio</creatorcontrib><creatorcontrib>Galli, Manuela</creatorcontrib><creatorcontrib>Concu, Alberto</creatorcontrib><creatorcontrib>Marrosu, Maria Giovanna</creatorcontrib><creatorcontrib>Pau, Massimiliano</creatorcontrib><creatorcontrib>Cocco, Eleonora</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical 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>MEDLINE - Academic</collection><jtitle>Journal of neurology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Coghe, Giancarlo</au><au>Corona, Federica</au><au>Marongiu, Elisabetta</au><au>Fenu, Giuseppe</au><au>Frau, Jessica</au><au>Lorefice, Lorena</au><au>Crisafulli, Antonio</au><au>Galli, Manuela</au><au>Concu, Alberto</au><au>Marrosu, Maria Giovanna</au><au>Pau, Massimiliano</au><au>Cocco, Eleonora</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fatigue, as measured using the Modified Fatigue Impact Scale, is a predictor of processing speed improvement induced by exercise in patients with multiple sclerosis: data from a randomized controlled trial</atitle><jtitle>Journal of neurology</jtitle><stitle>J Neurol</stitle><addtitle>J Neurol</addtitle><date>2018-06-01</date><risdate>2018</risdate><volume>265</volume><issue>6</issue><spage>1328</spage><epage>1333</epage><pages>1328-1333</pages><issn>0340-5354</issn><eissn>1432-1459</eissn><abstract>Background
Few studies have evaluated the impact of physical activity (PA) on cognition and fatigue, and none have considered the effects of PA on the relationship between cognition and fatigue.
Objectives
We evaluated the effect of PA in people with multiple sclerosis (pwMS) in a 6-month-long single-blind randomized controlled trial. We focused on the impact of exercise on cognition, fatigue, and the relationship between cognition and fatigue.
Methods
We recruited pwMS, who were then randomly assigned 1:1 to either a PA protocol group or a control group (CG). All patients underwent assessments using the Brief International Cognitive Assessment for Multiple Sclerosis including symbol digit modality test (SDMT), Berg Balance Scale (BBS), gait analysis, 6-Minute Walk Test, Timed Up and Go (TUG) test, and the Modified Fatigue Impact Scale (MFIS) at the beginning of the study (T0), at the end of the study (EOS) 24 weeks after T0, and at 24 weeks following the EOS (FU).
Results
A Wilcoxon test revealed a significant effect of exercise in the PA group, but not in the CG. Significant differences between T0 and EOS were found in the spatiotemporal parameters of gait, and performance on the SDMT, TUG, BBS, and MFIS. These differences were also present during the FU period. A regression model revealed that the baseline MFIS score predicted processing speed improvement (
R
2
= 0.65,
p
< 0.01), as the SDMT T score increased by 0.3 for each one-unit increase in the MFIS score at T0.
Conclusion
PA affects multiple aspects of the pathology in pwMS. Patients with greater fatigue must not be discouraged from exercise, as they may greatly benefit from PA. Specifically, PA was shown to improve information processing speed.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>29574556</pmid><doi>10.1007/s00415-018-8836-5</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0002-3796-3279</orcidid></addata></record> |
| fulltext | fulltext |
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| ispartof | Journal of neurology, 2018-06, Vol.265 (6), p.1328-1333 |
| issn | 0340-5354 1432-1459 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_2018665204 |
| source | SpringerLink Journals - AutoHoldings |
| subjects | Balance Clinical trials Cognition & reasoning Cognitive ability Exercise Fatigue Gait Information processing Medicine Medicine & Public Health Multiple sclerosis Neurology Neuroradiology Neurosciences Original Communication Physical activity Physical fitness Physical training |
| title | Fatigue, as measured using the Modified Fatigue Impact Scale, is a predictor of processing speed improvement induced by exercise in patients with multiple sclerosis: data from a randomized controlled trial |
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