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High- and Low-carb Diet and Fasting State Modify Alternative Maximal Accumulated Oxygen Deficit
This investigation aimed to assess whether the alternative method of estimating the maximal accumulated oxygen deficit (MAOD ) can detect changes in energy system contribution in different substrate availabilities. Following a graded exercise test to determine maximal oxygen uptake intensity (iVO ),...
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| Published in: | International journal of sports medicine 2024-11 |
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| container_title | International journal of sports medicine |
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| creator | Firmino, Matheus Simionato Norberto, Matheus S Putti, Germano Marcolino de Oliveira, Carolina Lemos da Silva Rumayor, Bianka Torini, João Victor Gatto Papoti, Marcelo |
| description | This investigation aimed to assess whether the alternative method of estimating the maximal accumulated oxygen deficit (MAOD
) can detect changes in energy system contribution in different substrate availabilities. Following a graded exercise test to determine maximal oxygen uptake intensity (iVO
), 26 recreational runners performed a time to exhaustion effort (TTE) as baseline at 110% iVO
. The same TTE was performed in fasting state, then, a muscle glycogen depletion protocol was executed. Subsequently, participants received a low-carbohydrate diet and beverages containing high (H-CHO, 10.8±2.1 g·kg
), moderate (M-CHO, 5.6±1.1 g·kg
), or zero (Z-CHO, 0.24±0.05 g·kg
) carbohydrates. Another TTE was performed 24 h later. Each energy system contribution was assessed. Generalized linear mixed models were used for statistical analysis (p |
| doi_str_mv | 10.1055/a-2373-0102 |
| format | article |
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) can detect changes in energy system contribution in different substrate availabilities. Following a graded exercise test to determine maximal oxygen uptake intensity (iVO
), 26 recreational runners performed a time to exhaustion effort (TTE) as baseline at 110% iVO
. The same TTE was performed in fasting state, then, a muscle glycogen depletion protocol was executed. Subsequently, participants received a low-carbohydrate diet and beverages containing high (H-CHO, 10.8±2.1 g·kg
), moderate (M-CHO, 5.6±1.1 g·kg
), or zero (Z-CHO, 0.24±0.05 g·kg
) carbohydrates. Another TTE was performed 24 h later. Each energy system contribution was assessed. Generalized linear mixed models were used for statistical analysis (p<0.05). H-CHO increased relative anaerobic capacity (slope effect [baseline -intervention]x[H-CHO - M-CHO]) due to the relative lactic contribution maintenance (slope effect [baseline - intervention]x[H-CHO - Z-CHO] or [H-CHO - M-CHO]) and increase in relative alactic contribution (6.3±3.5 kJ·min
). The aerobic contribution was lower (- 8.7±4.0 kJ·min
), decreasing performance (- 34±16 s) for H-CHO. M-CHO and Z-CHO maintained anaerobic capacity due to increase in alactic contribution (slope effect [fasting - intervention]x[M-CHO - H-CHO]; and Z-CHO was 7.3±3.4 kJ·min
higher than baseline). Fasting increased relative alactic (2.9±1.7 kJ·min
) but decreased aerobic contribution (- 3.3±2.3 kJ·min
), impairing performance (- 17±12 s). In conclusion, MAOD
can detect changes in energy system supply in different nutritional states. Therefore, participant's nutritional state must be considered prior to conducting the test.</description><identifier>ISSN: 0172-4622</identifier><identifier>ISSN: 1439-3964</identifier><identifier>EISSN: 1439-3964</identifier><identifier>DOI: 10.1055/a-2373-0102</identifier><identifier>PMID: 39053587</identifier><language>eng</language><publisher>Germany</publisher><ispartof>International journal of sports medicine, 2024-11</ispartof><rights>Thieme. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c212t-bb9086ddbd21faaebfb8b3c2a836098a7c0b84d0b5556a989e31ef0424e8cff3</cites><orcidid>0000-0001-8191-598X ; 0000-0003-1140-1312</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,3017,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39053587$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Firmino, Matheus Simionato</creatorcontrib><creatorcontrib>Norberto, Matheus S</creatorcontrib><creatorcontrib>Putti, Germano Marcolino</creatorcontrib><creatorcontrib>de Oliveira, Carolina Lemos</creatorcontrib><creatorcontrib>da Silva Rumayor, Bianka</creatorcontrib><creatorcontrib>Torini, João Victor Gatto</creatorcontrib><creatorcontrib>Papoti, Marcelo</creatorcontrib><title>High- and Low-carb Diet and Fasting State Modify Alternative Maximal Accumulated Oxygen Deficit</title><title>International journal of sports medicine</title><addtitle>Int J Sports Med</addtitle><description>This investigation aimed to assess whether the alternative method of estimating the maximal accumulated oxygen deficit (MAOD
) can detect changes in energy system contribution in different substrate availabilities. Following a graded exercise test to determine maximal oxygen uptake intensity (iVO
), 26 recreational runners performed a time to exhaustion effort (TTE) as baseline at 110% iVO
. The same TTE was performed in fasting state, then, a muscle glycogen depletion protocol was executed. Subsequently, participants received a low-carbohydrate diet and beverages containing high (H-CHO, 10.8±2.1 g·kg
), moderate (M-CHO, 5.6±1.1 g·kg
), or zero (Z-CHO, 0.24±0.05 g·kg
) carbohydrates. Another TTE was performed 24 h later. Each energy system contribution was assessed. Generalized linear mixed models were used for statistical analysis (p<0.05). H-CHO increased relative anaerobic capacity (slope effect [baseline -intervention]x[H-CHO - M-CHO]) due to the relative lactic contribution maintenance (slope effect [baseline - intervention]x[H-CHO - Z-CHO] or [H-CHO - M-CHO]) and increase in relative alactic contribution (6.3±3.5 kJ·min
). The aerobic contribution was lower (- 8.7±4.0 kJ·min
), decreasing performance (- 34±16 s) for H-CHO. M-CHO and Z-CHO maintained anaerobic capacity due to increase in alactic contribution (slope effect [fasting - intervention]x[M-CHO - H-CHO]; and Z-CHO was 7.3±3.4 kJ·min
higher than baseline). Fasting increased relative alactic (2.9±1.7 kJ·min
) but decreased aerobic contribution (- 3.3±2.3 kJ·min
), impairing performance (- 17±12 s). In conclusion, MAOD
can detect changes in energy system supply in different nutritional states. Therefore, participant's nutritional state must be considered prior to conducting the test.</description><issn>0172-4622</issn><issn>1439-3964</issn><issn>1439-3964</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNo9kEtLAzEAhIMotlZP3iVHQaJ57CM5FmutUOnB3kOeNbLdrZustv_era2eBoaPgfkAuCb4nuA8f1CIspIhTDA9AUOSMYGYKLJTMMSkpCgrKB2Aixg_MCaZIOwcDJjAOct5OQRyFlbvCKrawnnzjYxqNZwEl36bqYop1Cv4llRy8LWxwe_guEqurVUKX32ltmGtKjg2plt3VU9ZuNjuVq6GE-eDCekSnHlVRXd1zBFYTp-WjzM0Xzy_PI7nyFBCE9JaYF5Yqy0lXimnveaaGao4K7DgqjRY88xined5oQQXjhHncUYzx433bARuD7ObtvnsXExyHaJxVaVq13RRMsyzsiSCkB69O6CmbWJsnZebtj_R7iTBci9UKrkXKvdCe_rmONzptbP_7J9B9gP16HBi</recordid><startdate>20241120</startdate><enddate>20241120</enddate><creator>Firmino, Matheus Simionato</creator><creator>Norberto, Matheus S</creator><creator>Putti, Germano Marcolino</creator><creator>de Oliveira, Carolina Lemos</creator><creator>da Silva Rumayor, Bianka</creator><creator>Torini, João Victor Gatto</creator><creator>Papoti, Marcelo</creator><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-8191-598X</orcidid><orcidid>https://orcid.org/0000-0003-1140-1312</orcidid></search><sort><creationdate>20241120</creationdate><title>High- and Low-carb Diet and Fasting State Modify Alternative Maximal Accumulated Oxygen Deficit</title><author>Firmino, Matheus Simionato ; Norberto, Matheus S ; Putti, Germano Marcolino ; de Oliveira, Carolina Lemos ; da Silva Rumayor, Bianka ; Torini, João Victor Gatto ; Papoti, Marcelo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c212t-bb9086ddbd21faaebfb8b3c2a836098a7c0b84d0b5556a989e31ef0424e8cff3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Firmino, Matheus Simionato</creatorcontrib><creatorcontrib>Norberto, Matheus S</creatorcontrib><creatorcontrib>Putti, Germano Marcolino</creatorcontrib><creatorcontrib>de Oliveira, Carolina Lemos</creatorcontrib><creatorcontrib>da Silva Rumayor, Bianka</creatorcontrib><creatorcontrib>Torini, João Victor Gatto</creatorcontrib><creatorcontrib>Papoti, Marcelo</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>International journal of sports medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Firmino, Matheus Simionato</au><au>Norberto, Matheus S</au><au>Putti, Germano Marcolino</au><au>de Oliveira, Carolina Lemos</au><au>da Silva Rumayor, Bianka</au><au>Torini, João Victor Gatto</au><au>Papoti, Marcelo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>High- and Low-carb Diet and Fasting State Modify Alternative Maximal Accumulated Oxygen Deficit</atitle><jtitle>International journal of sports medicine</jtitle><addtitle>Int J Sports Med</addtitle><date>2024-11-20</date><risdate>2024</risdate><issn>0172-4622</issn><issn>1439-3964</issn><eissn>1439-3964</eissn><abstract>This investigation aimed to assess whether the alternative method of estimating the maximal accumulated oxygen deficit (MAOD
) can detect changes in energy system contribution in different substrate availabilities. Following a graded exercise test to determine maximal oxygen uptake intensity (iVO
), 26 recreational runners performed a time to exhaustion effort (TTE) as baseline at 110% iVO
. The same TTE was performed in fasting state, then, a muscle glycogen depletion protocol was executed. Subsequently, participants received a low-carbohydrate diet and beverages containing high (H-CHO, 10.8±2.1 g·kg
), moderate (M-CHO, 5.6±1.1 g·kg
), or zero (Z-CHO, 0.24±0.05 g·kg
) carbohydrates. Another TTE was performed 24 h later. Each energy system contribution was assessed. Generalized linear mixed models were used for statistical analysis (p<0.05). H-CHO increased relative anaerobic capacity (slope effect [baseline -intervention]x[H-CHO - M-CHO]) due to the relative lactic contribution maintenance (slope effect [baseline - intervention]x[H-CHO - Z-CHO] or [H-CHO - M-CHO]) and increase in relative alactic contribution (6.3±3.5 kJ·min
). The aerobic contribution was lower (- 8.7±4.0 kJ·min
), decreasing performance (- 34±16 s) for H-CHO. M-CHO and Z-CHO maintained anaerobic capacity due to increase in alactic contribution (slope effect [fasting - intervention]x[M-CHO - H-CHO]; and Z-CHO was 7.3±3.4 kJ·min
higher than baseline). Fasting increased relative alactic (2.9±1.7 kJ·min
) but decreased aerobic contribution (- 3.3±2.3 kJ·min
), impairing performance (- 17±12 s). In conclusion, MAOD
can detect changes in energy system supply in different nutritional states. Therefore, participant's nutritional state must be considered prior to conducting the test.</abstract><cop>Germany</cop><pmid>39053587</pmid><doi>10.1055/a-2373-0102</doi><orcidid>https://orcid.org/0000-0001-8191-598X</orcidid><orcidid>https://orcid.org/0000-0003-1140-1312</orcidid></addata></record> |
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| source | Thieme Connect Journals |
| title | High- and Low-carb Diet and Fasting State Modify Alternative Maximal Accumulated Oxygen Deficit |
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