Age-related decrease in performance of male masters athletes in sprint, sprint–endurance, and endurance events
Purpose To investigate the slope of age-related performance decrease of male master athletes competing the 100 m, 400 m, and 10,000 m running events. Methods Sample was composed by official data from World Masters Rankings for years 2013–2016. Age and performance data were collected from 2937 athlet...
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| Veröffentlicht in: | Sport sciences for health 2020-09, Vol.16 (3), p.385-392 |
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| creator | Aguiar, Samuel da Silva Sousa, Caio V. Sales, Marcelo M. Sousa, Higor G. Santos, Patrick A. Barbosa, Lucas D. Leite, Patrício L. Rosa, Thiago S. Nakamura, Fábio Y. Korhonen, Marko T. Simões, Herbert G. |
| description | Purpose
To investigate the slope of age-related performance decrease of male master athletes competing the 100 m, 400 m, and 10,000 m running events.
Methods
Sample was composed by official data from World Masters Rankings for years 2013–2016. Age and performance data were collected from 2937 athletes between 30 and 105 years. Performance was plotted against age and calculated a trendline for polynomial regression for each event using three different data dispositions: Top-20—best 20 athletes of each age group, all years of analysis; Top-3—best three athletes of each age group, all years of analysis; and annual Top-3—best three athletes of each age group, each year analyzed separately. The age-related point of substantial performance decline was determined by two mathematical methods,
D
max,
and log–log.
Results
The annual-Top-3 (age group Top-3 athletes in each year) disposition indicated an early performance decline in 10,000 m in comparison with the 100 and 400 m for both methods (
p |
| doi_str_mv | 10.1007/s11332-019-00613-6 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2918491453</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2918491453</sourcerecordid><originalsourceid>FETCH-LOGICAL-c319t-14bec41e7d7f771f4c6dc638ff0813236bebeee543b2585202785aac706ff1f03</originalsourceid><addsrcrecordid>eNp9UMtOwzAQjBBIlMIPcLLEtQavX0mOVcVLqsQFzpbjrEurNAm2i8SNf-AP-RLSh-DGZWdXmpnVTJZdArsGxvKbCCAEpwxKypgGQfVRNoKCKwpcyOPdLmkuS3aancW4YkxppcpR1k8XSAM2NmFNanQBbUSybEmPwXdhbVuHpPNkbRscRkwYIrHptcGEccuLfVi2aXLA788vbOtN2MomxLY1-T0JvmOb4nl24m0T8eKA4-zl7vZ59kDnT_ePs-mcOgFloiArdBIwr3Of5-Cl07XTovCeFSC40BVWiKikqLgqFGc8L5S1Lmfae_BMjLOrvW8furcNxmRW3Sa0w0vDSyhkCVKJgcX3LBe6GAN6M8RY2_BhgJlts2bfrBmaNbtmjR5EYi_aZV5g-LP-R_UD4dJ99A</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2918491453</pqid></control><display><type>article</type><title>Age-related decrease in performance of male masters athletes in sprint, sprint–endurance, and endurance events</title><source>ProQuest Central (Alumni Edition)</source><source>SpringerNature Journals</source><source>ProQuest Central UK/Ireland</source><source>ProQuest Central</source><creator>Aguiar, Samuel da Silva ; Sousa, Caio V. ; Sales, Marcelo M. ; Sousa, Higor G. ; Santos, Patrick A. ; Barbosa, Lucas D. ; Leite, Patrício L. ; Rosa, Thiago S. ; Nakamura, Fábio Y. ; Korhonen, Marko T. ; Simões, Herbert G.</creator><creatorcontrib>Aguiar, Samuel da Silva ; Sousa, Caio V. ; Sales, Marcelo M. ; Sousa, Higor G. ; Santos, Patrick A. ; Barbosa, Lucas D. ; Leite, Patrício L. ; Rosa, Thiago S. ; Nakamura, Fábio Y. ; Korhonen, Marko T. ; Simões, Herbert G.</creatorcontrib><description>Purpose
To investigate the slope of age-related performance decrease of male master athletes competing the 100 m, 400 m, and 10,000 m running events.
Methods
Sample was composed by official data from World Masters Rankings for years 2013–2016. Age and performance data were collected from 2937 athletes between 30 and 105 years. Performance was plotted against age and calculated a trendline for polynomial regression for each event using three different data dispositions: Top-20—best 20 athletes of each age group, all years of analysis; Top-3—best three athletes of each age group, all years of analysis; and annual Top-3—best three athletes of each age group, each year analyzed separately. The age-related point of substantial performance decline was determined by two mathematical methods,
D
max,
and log–log.
Results
The annual-Top-3 (age group Top-3 athletes in each year) disposition indicated an early performance decline in 10,000 m in comparison with the 100 and 400 m for both methods (
p
< 0.05). Top-3 (Top-3 athletes of each age group) analysis also indicated an earlier performance decline in 10,000 m (
D
max
: 61.2 years/log–log: 67.6 years), followed by 400 m (72.9 years/77.5 years) and 100 m (76.7 years/78.2 years).
Conclusion
In conclusion, the critical age after which the aging-related decline in masters athletes’ performance is accelerated, and occurs earlier in endurance runners than sprinters.</description><identifier>ISSN: 1824-7490</identifier><identifier>EISSN: 1825-1234</identifier><identifier>DOI: 10.1007/s11332-019-00613-6</identifier><language>eng</language><publisher>Milan: Springer Milan</publisher><subject>Age groups ; Aging ; Athletes ; Bioenergetics ; Hormones ; Human Physiology ; Medicine ; Medicine & Public Health ; Metabolic Diseases ; Original Article ; Physical fitness ; Physiology ; Running ; Sports Medicine ; Tournaments & championships ; Track & field ; Trends</subject><ispartof>Sport sciences for health, 2020-09, Vol.16 (3), p.385-392</ispartof><rights>Springer-Verlag Italia S.r.l., part of Springer Nature 2019</rights><rights>Springer-Verlag Italia S.r.l., part of Springer Nature 2019.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-14bec41e7d7f771f4c6dc638ff0813236bebeee543b2585202785aac706ff1f03</citedby><cites>FETCH-LOGICAL-c319t-14bec41e7d7f771f4c6dc638ff0813236bebeee543b2585202785aac706ff1f03</cites><orcidid>0000-0002-9057-4096</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/s11332-019-00613-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2918491453?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>315,782,786,21397,21398,27933,27934,33539,33753,41497,42566,43668,43814,51328,64394,64398,72478</link.rule.ids></links><search><creatorcontrib>Aguiar, Samuel da Silva</creatorcontrib><creatorcontrib>Sousa, Caio V.</creatorcontrib><creatorcontrib>Sales, Marcelo M.</creatorcontrib><creatorcontrib>Sousa, Higor G.</creatorcontrib><creatorcontrib>Santos, Patrick A.</creatorcontrib><creatorcontrib>Barbosa, Lucas D.</creatorcontrib><creatorcontrib>Leite, Patrício L.</creatorcontrib><creatorcontrib>Rosa, Thiago S.</creatorcontrib><creatorcontrib>Nakamura, Fábio Y.</creatorcontrib><creatorcontrib>Korhonen, Marko T.</creatorcontrib><creatorcontrib>Simões, Herbert G.</creatorcontrib><title>Age-related decrease in performance of male masters athletes in sprint, sprint–endurance, and endurance events</title><title>Sport sciences for health</title><addtitle>Sport Sci Health</addtitle><description>Purpose
To investigate the slope of age-related performance decrease of male master athletes competing the 100 m, 400 m, and 10,000 m running events.
Methods
Sample was composed by official data from World Masters Rankings for years 2013–2016. Age and performance data were collected from 2937 athletes between 30 and 105 years. Performance was plotted against age and calculated a trendline for polynomial regression for each event using three different data dispositions: Top-20—best 20 athletes of each age group, all years of analysis; Top-3—best three athletes of each age group, all years of analysis; and annual Top-3—best three athletes of each age group, each year analyzed separately. The age-related point of substantial performance decline was determined by two mathematical methods,
D
max,
and log–log.
Results
The annual-Top-3 (age group Top-3 athletes in each year) disposition indicated an early performance decline in 10,000 m in comparison with the 100 and 400 m for both methods (
p
< 0.05). Top-3 (Top-3 athletes of each age group) analysis also indicated an earlier performance decline in 10,000 m (
D
max
: 61.2 years/log–log: 67.6 years), followed by 400 m (72.9 years/77.5 years) and 100 m (76.7 years/78.2 years).
Conclusion
In conclusion, the critical age after which the aging-related decline in masters athletes’ performance is accelerated, and occurs earlier in endurance runners than sprinters.</description><subject>Age groups</subject><subject>Aging</subject><subject>Athletes</subject><subject>Bioenergetics</subject><subject>Hormones</subject><subject>Human Physiology</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolic Diseases</subject><subject>Original Article</subject><subject>Physical fitness</subject><subject>Physiology</subject><subject>Running</subject><subject>Sports Medicine</subject><subject>Tournaments & championships</subject><subject>Track & field</subject><subject>Trends</subject><issn>1824-7490</issn><issn>1825-1234</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9UMtOwzAQjBBIlMIPcLLEtQavX0mOVcVLqsQFzpbjrEurNAm2i8SNf-AP-RLSh-DGZWdXmpnVTJZdArsGxvKbCCAEpwxKypgGQfVRNoKCKwpcyOPdLmkuS3aancW4YkxppcpR1k8XSAM2NmFNanQBbUSybEmPwXdhbVuHpPNkbRscRkwYIrHptcGEccuLfVi2aXLA788vbOtN2MomxLY1-T0JvmOb4nl24m0T8eKA4-zl7vZ59kDnT_ePs-mcOgFloiArdBIwr3Of5-Cl07XTovCeFSC40BVWiKikqLgqFGc8L5S1Lmfae_BMjLOrvW8furcNxmRW3Sa0w0vDSyhkCVKJgcX3LBe6GAN6M8RY2_BhgJlts2bfrBmaNbtmjR5EYi_aZV5g-LP-R_UD4dJ99A</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Aguiar, Samuel da Silva</creator><creator>Sousa, Caio V.</creator><creator>Sales, Marcelo M.</creator><creator>Sousa, Higor G.</creator><creator>Santos, Patrick A.</creator><creator>Barbosa, Lucas D.</creator><creator>Leite, Patrício L.</creator><creator>Rosa, Thiago S.</creator><creator>Nakamura, Fábio Y.</creator><creator>Korhonen, Marko T.</creator><creator>Simões, Herbert G.</creator><general>Springer Milan</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</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>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><orcidid>https://orcid.org/0000-0002-9057-4096</orcidid></search><sort><creationdate>20200901</creationdate><title>Age-related decrease in performance of male masters athletes in sprint, sprint–endurance, and endurance events</title><author>Aguiar, Samuel da Silva ; Sousa, Caio V. ; Sales, Marcelo M. ; Sousa, Higor G. ; Santos, Patrick A. ; Barbosa, Lucas D. ; Leite, Patrício L. ; Rosa, Thiago S. ; Nakamura, Fábio Y. ; Korhonen, Marko T. ; Simões, Herbert G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-14bec41e7d7f771f4c6dc638ff0813236bebeee543b2585202785aac706ff1f03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Age groups</topic><topic>Aging</topic><topic>Athletes</topic><topic>Bioenergetics</topic><topic>Hormones</topic><topic>Human Physiology</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolic Diseases</topic><topic>Original Article</topic><topic>Physical fitness</topic><topic>Physiology</topic><topic>Running</topic><topic>Sports Medicine</topic><topic>Tournaments & championships</topic><topic>Track & field</topic><topic>Trends</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Aguiar, Samuel da Silva</creatorcontrib><creatorcontrib>Sousa, Caio V.</creatorcontrib><creatorcontrib>Sales, Marcelo M.</creatorcontrib><creatorcontrib>Sousa, Higor G.</creatorcontrib><creatorcontrib>Santos, Patrick A.</creatorcontrib><creatorcontrib>Barbosa, Lucas D.</creatorcontrib><creatorcontrib>Leite, Patrício L.</creatorcontrib><creatorcontrib>Rosa, Thiago S.</creatorcontrib><creatorcontrib>Nakamura, Fábio Y.</creatorcontrib><creatorcontrib>Korhonen, Marko T.</creatorcontrib><creatorcontrib>Simões, Herbert G.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</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>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Sport sciences for health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aguiar, Samuel da Silva</au><au>Sousa, Caio V.</au><au>Sales, Marcelo M.</au><au>Sousa, Higor G.</au><au>Santos, Patrick A.</au><au>Barbosa, Lucas D.</au><au>Leite, Patrício L.</au><au>Rosa, Thiago S.</au><au>Nakamura, Fábio Y.</au><au>Korhonen, Marko T.</au><au>Simões, Herbert G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Age-related decrease in performance of male masters athletes in sprint, sprint–endurance, and endurance events</atitle><jtitle>Sport sciences for health</jtitle><stitle>Sport Sci Health</stitle><date>2020-09-01</date><risdate>2020</risdate><volume>16</volume><issue>3</issue><spage>385</spage><epage>392</epage><pages>385-392</pages><issn>1824-7490</issn><eissn>1825-1234</eissn><abstract>Purpose
To investigate the slope of age-related performance decrease of male master athletes competing the 100 m, 400 m, and 10,000 m running events.
Methods
Sample was composed by official data from World Masters Rankings for years 2013–2016. Age and performance data were collected from 2937 athletes between 30 and 105 years. Performance was plotted against age and calculated a trendline for polynomial regression for each event using three different data dispositions: Top-20—best 20 athletes of each age group, all years of analysis; Top-3—best three athletes of each age group, all years of analysis; and annual Top-3—best three athletes of each age group, each year analyzed separately. The age-related point of substantial performance decline was determined by two mathematical methods,
D
max,
and log–log.
Results
The annual-Top-3 (age group Top-3 athletes in each year) disposition indicated an early performance decline in 10,000 m in comparison with the 100 and 400 m for both methods (
p
< 0.05). Top-3 (Top-3 athletes of each age group) analysis also indicated an earlier performance decline in 10,000 m (
D
max
: 61.2 years/log–log: 67.6 years), followed by 400 m (72.9 years/77.5 years) and 100 m (76.7 years/78.2 years).
Conclusion
In conclusion, the critical age after which the aging-related decline in masters athletes’ performance is accelerated, and occurs earlier in endurance runners than sprinters.</abstract><cop>Milan</cop><pub>Springer Milan</pub><doi>10.1007/s11332-019-00613-6</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-9057-4096</orcidid></addata></record> |
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| ispartof | Sport sciences for health, 2020-09, Vol.16 (3), p.385-392 |
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| source | ProQuest Central (Alumni Edition); SpringerNature Journals; ProQuest Central UK/Ireland; ProQuest Central |
| subjects | Age groups Aging Athletes Bioenergetics Hormones Human Physiology Medicine Medicine & Public Health Metabolic Diseases Original Article Physical fitness Physiology Running Sports Medicine Tournaments & championships Track & field Trends |
| title | Age-related decrease in performance of male masters athletes in sprint, sprint–endurance, and endurance events |
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