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Glycaemic Impact of Low‐ and High‐Glycaemic Index Carbohydrate Diets in Ultra‐Endurance Athletes: Insights From Continuous Glucose Monitoring
European Journal of Sport Science, Volume: 25, Issue: 12, Start page: e70092
Swansea University Authors:
Ross Hamilton, RUIYANG XIA, Chloe Nicholas, Rachel Churm , Olivia McCarthy, Richard Bracken
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© 2025 The Author(s). European Journal of Sport Science published by Wiley-VCH GmbH on behalf of European College of Sport Science. This is an open access article under the terms of the Creative Commons Attribution License.
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DOI (Published version): 10.1002/ejsc.70092
Abstract
Nine ultra-endurance athletes completed a randomised, crossover trial involving two 28-day dietary arms during which the athletes consumed a carbohydrate-rich diet (carbohydrate 58 ± 3, protein 15 ± 2 and fat 26 ± 2%) containing low- or high-glycaemic-index (LGI or HGI, respectively) carbohydrates....
| Published in: | European Journal of Sport Science |
|---|---|
| ISSN: | 1746-1391 1536-7290 |
| Published: |
Wiley
2025
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa70888 |
| first_indexed |
2025-11-13T09:36:31Z |
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| last_indexed |
2025-12-16T05:27:41Z |
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SURis |
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<?xml version="1.0"?><rfc1807><datestamp>2025-12-15T15:31:41.8758942</datestamp><bib-version>v2</bib-version><id>70888</id><entry>2025-11-13</entry><title>Glycaemic Impact of Low‐ and High‐Glycaemic Index Carbohydrate Diets in Ultra‐Endurance Athletes: Insights From Continuous Glucose Monitoring</title><swanseaauthors><author><sid>debecc46f91c2f3b4ca8c69777e53553</sid><firstname>Ross</firstname><surname>Hamilton</surname><name>Ross Hamilton</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>10c03e33d17d666b42b606719bbec832</sid><firstname>RUIYANG</firstname><surname>XIA</surname><name>RUIYANG XIA</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>abf60d99b0f99b319d78dc0d6ca8ccdc</sid><firstname>Chloe</firstname><surname>Nicholas</surname><name>Chloe Nicholas</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>c6cd8267ff0b13f2ea333bbfefdae144</sid><ORCID>0000-0001-9855-6282</ORCID><firstname>Rachel</firstname><surname>Churm</surname><name>Rachel Churm</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>4fea3e19b39712dea1d051d317614572</sid><firstname>Olivia</firstname><surname>McCarthy</surname><name>Olivia McCarthy</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>f5da81cd18adfdedb2ccb845bddc12f7</sid><ORCID>0000-0002-6986-6449</ORCID><firstname>Richard</firstname><surname>Bracken</surname><name>Richard Bracken</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2025-11-13</date><abstract>Nine ultra-endurance athletes completed a randomised, crossover trial involving two 28-day dietary arms during which the athletes consumed a carbohydrate-rich diet (carbohydrate 58 ± 3, protein 15 ± 2 and fat 26 ± 2%) containing low- or high-glycaemic-index (LGI or HGI, respectively) carbohydrates. At the start and end of each dietary arm, participants performed a fasted 3-h submaximal run outdoors before ingesting either a low (GI = 32, isomaltulose [Palatinose]) or high (GI = 100, maltodextrin) glycaemic index drink (0.75 g/kg bm/h over 3.5 h). Participants then completed a treadmill run to exhaustion at 74 ± 1% vVO2peak, with pulmonary gas exchange measured over the first hour. Interstitial glucose [iG] was measured via continuous glucose monitoring (Supersapiens, Atlanta, USA). Data were analysed ANOVA and post hoc t-tests with Bonferroni adjustment as appropriate, with p ≤ 0.05 accepted as significant. Mean 24-h [iG] was similar between diets (LGI:102 ± 5 vs. HGI:100 ± 5 mg/dL). [iG] variability measures, including standard deviation (LGI:17 ± 1 vs. HGI:18 ± 2 mg/dL, p = 0.016) and coefficient of variation (LGI:16 ± 1% vs. HGI:18 ± 1%, p = 0.0003), were lower in the LGI diet, with a reduced percentage of time spent below the recommended range (LGI 2 ± 1% vs. HGI 4 ± 2%, p = 0.006. Level 1 [55–69 mg/dL] LGI 1 ± 1% vs. HGI 3 ± 2, p = 0.005). Carbohydrate oxidation during the first hour of the run test was reduced in the LGI diet arm (ΔLGI −0.14 ± 0.32 vs. ΔHGI 0.06 ± 0.28 g·min−1, p = 0.016) but endurance capacity was similar across diets. Adopting a 28-day LGI carbohydrate-rich diet and incorporating isomaltulose improved glycaemic variability and reduced time spent below the target glycaemic range with evidence of similar endurance performance capability when compared to a HGI carbohydrate-rich diet.</abstract><type>Journal Article</type><journal>European Journal of Sport Science</journal><volume>25</volume><journalNumber>12</journalNumber><paginationStart>e70092</paginationStart><paginationEnd/><publisher>Wiley</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>1746-1391</issnPrint><issnElectronic>1536-7290</issnElectronic><keywords>endurance, metabolism, nutrition, performance, physiology</keywords><publishedDay>1</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2025</publishedYear><publishedDate>2025-12-01</publishedDate><doi>10.1002/ejsc.70092</doi><url/><notes/><college>COLLEGE NANME</college><CollegeCode>COLLEGE CODE</CollegeCode><institution>Swansea University</institution><apcterm>SU Library paid the OA fee (TA Institutional Deal)</apcterm><funders>This study was funded by BENEO as part of a PhD project co-funded by Supersapiens Inc., the Team Novo Nordisk Foundation, and Swansea University.</funders><projectreference/><lastEdited>2025-12-15T15:31:41.8758942</lastEdited><Created>2025-11-13T09:33:36.6752171</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Engineering and Applied Sciences - Sport and Exercise Sciences</level></path><authors><author><firstname>Ross</firstname><surname>Hamilton</surname><order>1</order></author><author><firstname>RUIYANG</firstname><surname>XIA</surname><order>2</order></author><author><firstname>Chloe</firstname><surname>Nicholas</surname><order>3</order></author><author><firstname>Rachel</firstname><surname>Churm</surname><orcid>0000-0001-9855-6282</orcid><order>4</order></author><author><firstname>Olivia</firstname><surname>McCarthy</surname><order>5</order></author><author><firstname>Richard</firstname><surname>Bracken</surname><orcid>0000-0002-6986-6449</orcid><order>6</order></author></authors><documents><document><filename>70888__35827__e77134539f7047f3923ca1042ebc9253.pdf</filename><originalFilename>70888.VOR.pdf</originalFilename><uploaded>2025-12-15T15:22:39.2282168</uploaded><type>Output</type><contentLength>1360942</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>© 2025 The Author(s). 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2025-12-15T15:31:41.8758942 v2 70888 2025-11-13 Glycaemic Impact of Low‐ and High‐Glycaemic Index Carbohydrate Diets in Ultra‐Endurance Athletes: Insights From Continuous Glucose Monitoring debecc46f91c2f3b4ca8c69777e53553 Ross Hamilton Ross Hamilton true false 10c03e33d17d666b42b606719bbec832 RUIYANG XIA RUIYANG XIA true false abf60d99b0f99b319d78dc0d6ca8ccdc Chloe Nicholas Chloe Nicholas true false c6cd8267ff0b13f2ea333bbfefdae144 0000-0001-9855-6282 Rachel Churm Rachel Churm true false 4fea3e19b39712dea1d051d317614572 Olivia McCarthy Olivia McCarthy true false f5da81cd18adfdedb2ccb845bddc12f7 0000-0002-6986-6449 Richard Bracken Richard Bracken true false 2025-11-13 Nine ultra-endurance athletes completed a randomised, crossover trial involving two 28-day dietary arms during which the athletes consumed a carbohydrate-rich diet (carbohydrate 58 ± 3, protein 15 ± 2 and fat 26 ± 2%) containing low- or high-glycaemic-index (LGI or HGI, respectively) carbohydrates. At the start and end of each dietary arm, participants performed a fasted 3-h submaximal run outdoors before ingesting either a low (GI = 32, isomaltulose [Palatinose]) or high (GI = 100, maltodextrin) glycaemic index drink (0.75 g/kg bm/h over 3.5 h). Participants then completed a treadmill run to exhaustion at 74 ± 1% vVO2peak, with pulmonary gas exchange measured over the first hour. Interstitial glucose [iG] was measured via continuous glucose monitoring (Supersapiens, Atlanta, USA). Data were analysed ANOVA and post hoc t-tests with Bonferroni adjustment as appropriate, with p ≤ 0.05 accepted as significant. Mean 24-h [iG] was similar between diets (LGI:102 ± 5 vs. HGI:100 ± 5 mg/dL). [iG] variability measures, including standard deviation (LGI:17 ± 1 vs. HGI:18 ± 2 mg/dL, p = 0.016) and coefficient of variation (LGI:16 ± 1% vs. HGI:18 ± 1%, p = 0.0003), were lower in the LGI diet, with a reduced percentage of time spent below the recommended range (LGI 2 ± 1% vs. HGI 4 ± 2%, p = 0.006. Level 1 [55–69 mg/dL] LGI 1 ± 1% vs. HGI 3 ± 2, p = 0.005). Carbohydrate oxidation during the first hour of the run test was reduced in the LGI diet arm (ΔLGI −0.14 ± 0.32 vs. ΔHGI 0.06 ± 0.28 g·min−1, p = 0.016) but endurance capacity was similar across diets. Adopting a 28-day LGI carbohydrate-rich diet and incorporating isomaltulose improved glycaemic variability and reduced time spent below the target glycaemic range with evidence of similar endurance performance capability when compared to a HGI carbohydrate-rich diet. Journal Article European Journal of Sport Science 25 12 e70092 Wiley 1746-1391 1536-7290 endurance, metabolism, nutrition, performance, physiology 1 12 2025 2025-12-01 10.1002/ejsc.70092 COLLEGE NANME COLLEGE CODE Swansea University SU Library paid the OA fee (TA Institutional Deal) This study was funded by BENEO as part of a PhD project co-funded by Supersapiens Inc., the Team Novo Nordisk Foundation, and Swansea University. 2025-12-15T15:31:41.8758942 2025-11-13T09:33:36.6752171 Faculty of Science and Engineering School of Engineering and Applied Sciences - Sport and Exercise Sciences Ross Hamilton 1 RUIYANG XIA 2 Chloe Nicholas 3 Rachel Churm 0000-0001-9855-6282 4 Olivia McCarthy 5 Richard Bracken 0000-0002-6986-6449 6 70888__35827__e77134539f7047f3923ca1042ebc9253.pdf 70888.VOR.pdf 2025-12-15T15:22:39.2282168 Output 1360942 application/pdf Version of Record true © 2025 The Author(s). European Journal of Sport Science published by Wiley-VCH GmbH on behalf of European College of Sport Science. This is an open access article under the terms of the Creative Commons Attribution License. true eng http://creativecommons.org/licenses/by/4.0/ |
| title |
Glycaemic Impact of Low‐ and High‐Glycaemic Index Carbohydrate Diets in Ultra‐Endurance Athletes: Insights From Continuous Glucose Monitoring |
| spellingShingle |
Glycaemic Impact of Low‐ and High‐Glycaemic Index Carbohydrate Diets in Ultra‐Endurance Athletes: Insights From Continuous Glucose Monitoring Ross Hamilton RUIYANG XIA Chloe Nicholas Rachel Churm Olivia McCarthy Richard Bracken |
| title_short |
Glycaemic Impact of Low‐ and High‐Glycaemic Index Carbohydrate Diets in Ultra‐Endurance Athletes: Insights From Continuous Glucose Monitoring |
| title_full |
Glycaemic Impact of Low‐ and High‐Glycaemic Index Carbohydrate Diets in Ultra‐Endurance Athletes: Insights From Continuous Glucose Monitoring |
| title_fullStr |
Glycaemic Impact of Low‐ and High‐Glycaemic Index Carbohydrate Diets in Ultra‐Endurance Athletes: Insights From Continuous Glucose Monitoring |
| title_full_unstemmed |
Glycaemic Impact of Low‐ and High‐Glycaemic Index Carbohydrate Diets in Ultra‐Endurance Athletes: Insights From Continuous Glucose Monitoring |
| title_sort |
Glycaemic Impact of Low‐ and High‐Glycaemic Index Carbohydrate Diets in Ultra‐Endurance Athletes: Insights From Continuous Glucose Monitoring |
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debecc46f91c2f3b4ca8c69777e53553 10c03e33d17d666b42b606719bbec832 abf60d99b0f99b319d78dc0d6ca8ccdc c6cd8267ff0b13f2ea333bbfefdae144 4fea3e19b39712dea1d051d317614572 f5da81cd18adfdedb2ccb845bddc12f7 |
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debecc46f91c2f3b4ca8c69777e53553_***_Ross Hamilton 10c03e33d17d666b42b606719bbec832_***_RUIYANG XIA abf60d99b0f99b319d78dc0d6ca8ccdc_***_Chloe Nicholas c6cd8267ff0b13f2ea333bbfefdae144_***_Rachel Churm 4fea3e19b39712dea1d051d317614572_***_Olivia McCarthy f5da81cd18adfdedb2ccb845bddc12f7_***_Richard Bracken |
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Ross Hamilton RUIYANG XIA Chloe Nicholas Rachel Churm Olivia McCarthy Richard Bracken |
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Ross Hamilton RUIYANG XIA Chloe Nicholas Rachel Churm Olivia McCarthy Richard Bracken |
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European Journal of Sport Science |
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25 |
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e70092 |
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10.1002/ejsc.70092 |
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Wiley |
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Faculty of Science and Engineering |
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Nine ultra-endurance athletes completed a randomised, crossover trial involving two 28-day dietary arms during which the athletes consumed a carbohydrate-rich diet (carbohydrate 58 ± 3, protein 15 ± 2 and fat 26 ± 2%) containing low- or high-glycaemic-index (LGI or HGI, respectively) carbohydrates. At the start and end of each dietary arm, participants performed a fasted 3-h submaximal run outdoors before ingesting either a low (GI = 32, isomaltulose [Palatinose]) or high (GI = 100, maltodextrin) glycaemic index drink (0.75 g/kg bm/h over 3.5 h). Participants then completed a treadmill run to exhaustion at 74 ± 1% vVO2peak, with pulmonary gas exchange measured over the first hour. Interstitial glucose [iG] was measured via continuous glucose monitoring (Supersapiens, Atlanta, USA). Data were analysed ANOVA and post hoc t-tests with Bonferroni adjustment as appropriate, with p ≤ 0.05 accepted as significant. Mean 24-h [iG] was similar between diets (LGI:102 ± 5 vs. HGI:100 ± 5 mg/dL). [iG] variability measures, including standard deviation (LGI:17 ± 1 vs. HGI:18 ± 2 mg/dL, p = 0.016) and coefficient of variation (LGI:16 ± 1% vs. HGI:18 ± 1%, p = 0.0003), were lower in the LGI diet, with a reduced percentage of time spent below the recommended range (LGI 2 ± 1% vs. HGI 4 ± 2%, p = 0.006. Level 1 [55–69 mg/dL] LGI 1 ± 1% vs. HGI 3 ± 2, p = 0.005). Carbohydrate oxidation during the first hour of the run test was reduced in the LGI diet arm (ΔLGI −0.14 ± 0.32 vs. ΔHGI 0.06 ± 0.28 g·min−1, p = 0.016) but endurance capacity was similar across diets. Adopting a 28-day LGI carbohydrate-rich diet and incorporating isomaltulose improved glycaemic variability and reduced time spent below the target glycaemic range with evidence of similar endurance performance capability when compared to a HGI carbohydrate-rich diet. |
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2025-12-01T05:34:01Z |
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11.096068 |

