Modeling the residual effects and threshold saturation of training: a case study of Olympic swimmers
The aim of this study was to model the residual effects of training on the swimming performance and to compare a model that includes threshold saturation (MM) with the Banister model (BM). Seven Olympic swimmers were studied over a period of 4 +/- 2 years. For 3 training loads (low-intensity w(LIT),...
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| Veröffentlicht in: | Journal of strength and conditioning research 2005-02, Vol.19 (1), p.67-75 |
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| creator | Hellard, Philippe Avalos, Marta Millet, Gregoire Lacoste, Lucien Barale, Frederic Chatard, Jean-Claude |
| description | The aim of this study was to model the residual effects of training on the swimming performance and to compare a model that includes threshold saturation (MM) with the Banister model (BM). Seven Olympic swimmers were studied over a period of 4 +/- 2 years. For 3 training loads (low-intensity w(LIT), high-intensity w(HIT), and strength training w(ST)), 3 residual training effects were determined: short-term (STE) during the taper phase (i.e., 3 weeks before the performance [weeks 0, 1, and 2]), intermediate-term (ITE) during the intensity phase (weeks 3, 4, and 5), and long-term (LTE) during the volume phase (weeks 6, 7, and 8). ITE and LTE were positive for w(HIT) and w(LIT), respectively (p < 0.05). Low-intensity training load during taper was related to performances by a parabolic relationship (p < 0.05). Different quality measures indicated that MM compares favorably with BM. Identifying individual training thresholds may help individualize the distribution of training loads. |
| doi_str_mv | 10.1519/14853.1 |
| format | Article |
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Seven Olympic swimmers were studied over a period of 4 +/- 2 years. For 3 training loads (low-intensity w(LIT), high-intensity w(HIT), and strength training w(ST)), 3 residual training effects were determined: short-term (STE) during the taper phase (i.e., 3 weeks before the performance [weeks 0, 1, and 2]), intermediate-term (ITE) during the intensity phase (weeks 3, 4, and 5), and long-term (LTE) during the volume phase (weeks 6, 7, and 8). ITE and LTE were positive for w(HIT) and w(LIT), respectively (p < 0.05). Low-intensity training load during taper was related to performances by a parabolic relationship (p < 0.05). Different quality measures indicated that MM compares favorably with BM. Identifying individual training thresholds may help individualize the distribution of training loads.</description><identifier>ISSN: 1064-8011</identifier><identifier>EISSN: 1533-4287</identifier><identifier>DOI: 10.1519/14853.1</identifier><identifier>PMID: 15705048</identifier><language>eng</language><publisher>United States: Lippincott Williams & Wilkins Ovid Technologies</publisher><subject>Adult ; Female ; Humans ; Life Sciences ; Male ; Models, Biological ; Muscle, Skeletal ; Muscle, Skeletal - physiology ; Other ; Physical Education and Training ; Physical Education and Training - methods ; Physical Endurance ; Physical Endurance - physiology ; Quantitative Methods ; Regression Analysis ; Space life sciences ; Swimming ; Swimming - physiology</subject><ispartof>Journal of strength and conditioning research, 2005-02, Vol.19 (1), p.67-75</ispartof><rights>Copyright Allen Press, Inc. Feb 2005</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c462t-9a9242aa0608ada777ddd9c558c5d8f27af8c3ba3e4fc543251e49bf642fd21c3</citedby><orcidid>0000-0002-5471-2615</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15705048$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://inserm.hal.science/inserm-00149779$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Hellard, Philippe</creatorcontrib><creatorcontrib>Avalos, Marta</creatorcontrib><creatorcontrib>Millet, Gregoire</creatorcontrib><creatorcontrib>Lacoste, Lucien</creatorcontrib><creatorcontrib>Barale, Frederic</creatorcontrib><creatorcontrib>Chatard, Jean-Claude</creatorcontrib><title>Modeling the residual effects and threshold saturation of training: a case study of Olympic swimmers</title><title>Journal of strength and conditioning research</title><addtitle>J Strength Cond Res</addtitle><description>The aim of this study was to model the residual effects of training on the swimming performance and to compare a model that includes threshold saturation (MM) with the Banister model (BM). Seven Olympic swimmers were studied over a period of 4 +/- 2 years. For 3 training loads (low-intensity w(LIT), high-intensity w(HIT), and strength training w(ST)), 3 residual training effects were determined: short-term (STE) during the taper phase (i.e., 3 weeks before the performance [weeks 0, 1, and 2]), intermediate-term (ITE) during the intensity phase (weeks 3, 4, and 5), and long-term (LTE) during the volume phase (weeks 6, 7, and 8). ITE and LTE were positive for w(HIT) and w(LIT), respectively (p < 0.05). Low-intensity training load during taper was related to performances by a parabolic relationship (p < 0.05). Different quality measures indicated that MM compares favorably with BM. Identifying individual training thresholds may help individualize the distribution of training loads.</description><subject>Adult</subject><subject>Female</subject><subject>Humans</subject><subject>Life Sciences</subject><subject>Male</subject><subject>Models, Biological</subject><subject>Muscle, Skeletal</subject><subject>Muscle, Skeletal - physiology</subject><subject>Other</subject><subject>Physical Education and Training</subject><subject>Physical Education and Training - methods</subject><subject>Physical Endurance</subject><subject>Physical Endurance - physiology</subject><subject>Quantitative Methods</subject><subject>Regression Analysis</subject><subject>Space life sciences</subject><subject>Swimming</subject><subject>Swimming - physiology</subject><issn>1064-8011</issn><issn>1533-4287</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqFkstuFDEQRVsIREJA_AGyWMCGDi4_2jYLpCgCgjQoG1hbHj8yjrrtwe4Omr_Hw4x4ZMPKlu-pW1fl6rrngM-Bg3oLTHJ6Dg-6U-CU9oxI8bDd8cB6iQFOuie13mJMOOf0cXcCXGCOmTzt3Jfs_BjTDZo3HhVfo1vMiHwI3s4VmeSa0J43eXSomnkpZo45oRzQXExMrfIdMsia6lGdF7fbK9fjbtpGi-qPOE2-1Kfdo2DG6p8dz7Pu28cPXy-v-tX1p8-XF6vesoHMvTKKMGIMHrA0zgghnHPKci4tdzIQYYK0dG2oZ8FyRgkHz9Q6DIwER8DSs-79wXe7rCfvrE8t46i3JU6m7HQ2Uf-rpLjRN_lOc8qJJLIZvDkYbO6VXV2sdEzVl0ljDEwJoe6g4a-O_Ur-vvg66ylW68fRJJ-XqgfBQCnK_guC4JIR2IMv74G3eSmpDU0ToJgPw6Aa9PoA2ZJrLT78jgpY79dB_1oHvQ_44u-B_OGO_09_AqoDsDs</recordid><startdate>20050201</startdate><enddate>20050201</enddate><creator>Hellard, Philippe</creator><creator>Avalos, Marta</creator><creator>Millet, Gregoire</creator><creator>Lacoste, Lucien</creator><creator>Barale, Frederic</creator><creator>Chatard, Jean-Claude</creator><general>Lippincott Williams & Wilkins Ovid Technologies</general><general>Lippincott, Williams & Wilkins</general><general>Human Kinetics Pub</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>7RV</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-5471-2615</orcidid></search><sort><creationdate>20050201</creationdate><title>Modeling the residual effects and threshold saturation of training: a case study of Olympic swimmers</title><author>Hellard, Philippe ; Avalos, Marta ; Millet, Gregoire ; Lacoste, Lucien ; Barale, Frederic ; Chatard, Jean-Claude</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c462t-9a9242aa0608ada777ddd9c558c5d8f27af8c3ba3e4fc543251e49bf642fd21c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Adult</topic><topic>Female</topic><topic>Humans</topic><topic>Life Sciences</topic><topic>Male</topic><topic>Models, Biological</topic><topic>Muscle, Skeletal</topic><topic>Muscle, Skeletal - 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Seven Olympic swimmers were studied over a period of 4 +/- 2 years. For 3 training loads (low-intensity w(LIT), high-intensity w(HIT), and strength training w(ST)), 3 residual training effects were determined: short-term (STE) during the taper phase (i.e., 3 weeks before the performance [weeks 0, 1, and 2]), intermediate-term (ITE) during the intensity phase (weeks 3, 4, and 5), and long-term (LTE) during the volume phase (weeks 6, 7, and 8). ITE and LTE were positive for w(HIT) and w(LIT), respectively (p < 0.05). Low-intensity training load during taper was related to performances by a parabolic relationship (p < 0.05). Different quality measures indicated that MM compares favorably with BM. 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| source | Journals@Ovid Ovid Autoload; MEDLINE |
| subjects | Adult Female Humans Life Sciences Male Models, Biological Muscle, Skeletal Muscle, Skeletal - physiology Other Physical Education and Training Physical Education and Training - methods Physical Endurance Physical Endurance - physiology Quantitative Methods Regression Analysis Space life sciences Swimming Swimming - physiology |
| title | Modeling the residual effects and threshold saturation of training: a case study of Olympic swimmers |
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