Mean platelet volume (MPV) predicts middle distance running performance
Running economy and performance in middle distance running depend on several physiological factors, which include anthropometric variables, functional characteristics, training volume and intensity. Since little information is available about hematological predictors of middle distance running time,...
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| Veröffentlicht in: | PloS one 2014-11, Vol.9 (11), p.e112892-e112892 |
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| creator | Lippi, Giuseppe Salvagno, Gian Luca Danese, Elisa Skafidas, Spyros Tarperi, Cantor Guidi, Gian Cesare Schena, Federico |
| description | Running economy and performance in middle distance running depend on several physiological factors, which include anthropometric variables, functional characteristics, training volume and intensity. Since little information is available about hematological predictors of middle distance running time, we investigated whether some hematological parameters may be associated with middle distance running performance in a large sample of recreational runners.
The study population consisted in 43 amateur runners (15 females, 28 males; median age 47 years), who successfully concluded a 21.1 km half-marathon at 75-85% of their maximal aerobic power (VO2max). Whole blood was collected 10 min before the run started and immediately thereafter, and hematological testing was completed within 2 hours after sample collection.
The values of lymphocytes and eosinophils exhibited a significant decrease compared to pre-run values, whereas those of mean corpuscular volume (MCV), platelets, mean platelet volume (MPV), white blood cells (WBCs), neutrophils and monocytes were significantly increased after the run. In univariate analysis, significant associations with running time were found for pre-run values of hematocrit, hemoglobin, mean corpuscular hemoglobin (MCH), red blood cell distribution width (RDW), MPV, reticulocyte hemoglobin concentration (RetCHR), and post-run values of MCH, RDW, MPV, monocytes and RetCHR. In multivariate analysis, in which running time was entered as dependent variable whereas age, sex, blood lactate, body mass index, VO2max, mean training regimen and the hematological parameters significantly associated with running performance in univariate analysis were entered as independent variables, only MPV values before and after the trial remained significantly associated with running time. After adjustment for platelet count, the MPV value before the run (p = 0.042), but not thereafter (p = 0.247), remained significantly associated with running performance.
The significant association between baseline MPV and running time suggest that hyperactive platelets may exert some pleiotropic effects on endurance performance. |
| doi_str_mv | 10.1371/journal.pone.0112892 |
| format | Article |
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The study population consisted in 43 amateur runners (15 females, 28 males; median age 47 years), who successfully concluded a 21.1 km half-marathon at 75-85% of their maximal aerobic power (VO2max). Whole blood was collected 10 min before the run started and immediately thereafter, and hematological testing was completed within 2 hours after sample collection.
The values of lymphocytes and eosinophils exhibited a significant decrease compared to pre-run values, whereas those of mean corpuscular volume (MCV), platelets, mean platelet volume (MPV), white blood cells (WBCs), neutrophils and monocytes were significantly increased after the run. In univariate analysis, significant associations with running time were found for pre-run values of hematocrit, hemoglobin, mean corpuscular hemoglobin (MCH), red blood cell distribution width (RDW), MPV, reticulocyte hemoglobin concentration (RetCHR), and post-run values of MCH, RDW, MPV, monocytes and RetCHR. In multivariate analysis, in which running time was entered as dependent variable whereas age, sex, blood lactate, body mass index, VO2max, mean training regimen and the hematological parameters significantly associated with running performance in univariate analysis were entered as independent variables, only MPV values before and after the trial remained significantly associated with running time. After adjustment for platelet count, the MPV value before the run (p = 0.042), but not thereafter (p = 0.247), remained significantly associated with running performance.
The significant association between baseline MPV and running time suggest that hyperactive platelets may exert some pleiotropic effects on endurance performance.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0112892</identifier><identifier>PMID: 25386658</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Analysis ; Anthropometry ; Biochemistry ; Biology and Life Sciences ; Blood ; Blood Cell Count ; Blood cells ; Blood platelets ; Body mass ; Body mass index ; Body size ; Cardiovascular disease ; Chronic fatigue syndrome ; Dependent variables ; Eosinophils ; Erythrocytes ; Exercise ; Female ; Females ; Fitness equipment ; Hematocrit ; Hematology ; Hemoglobin ; Hemoglobins ; Humans ; Humidity ; Independent variables ; Joint surgery ; Laboratories ; Lactic acid ; Leukocytes ; Leukocytes (eosinophilic) ; Leukocytes (neutrophilic) ; Lymphocytes ; Male ; Males ; Marathons ; Mathematical analysis ; Mean Platelet Volume ; Medicine and Health Sciences ; Middle Aged ; Monocytes ; Morphology ; Multivariate Analysis ; Outdoor activities ; Oxygen consumption ; Pain ; Physical fitness ; Physiological aspects ; Physiological effects ; Physiological factors ; Plasma ; Platelets ; Population studies ; Predictive Value of Tests ; Running ; Running - physiology ; Sports injuries ; Systematic review ; Training</subject><ispartof>PloS one, 2014-11, Vol.9 (11), p.e112892-e112892</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Lippi et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2014 Lippi et al 2014 Lippi et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c593t-9a4ee035184afa51b5f4a2cf13537f805cbfd4507d7b83f20b3bbca03d5b46a13</citedby><cites>FETCH-LOGICAL-c593t-9a4ee035184afa51b5f4a2cf13537f805cbfd4507d7b83f20b3bbca03d5b46a13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4227876/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4227876/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25386658$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Tauler, Pedro</contributor><creatorcontrib>Lippi, Giuseppe</creatorcontrib><creatorcontrib>Salvagno, Gian Luca</creatorcontrib><creatorcontrib>Danese, Elisa</creatorcontrib><creatorcontrib>Skafidas, Spyros</creatorcontrib><creatorcontrib>Tarperi, Cantor</creatorcontrib><creatorcontrib>Guidi, Gian Cesare</creatorcontrib><creatorcontrib>Schena, Federico</creatorcontrib><title>Mean platelet volume (MPV) predicts middle distance running performance</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Running economy and performance in middle distance running depend on several physiological factors, which include anthropometric variables, functional characteristics, training volume and intensity. Since little information is available about hematological predictors of middle distance running time, we investigated whether some hematological parameters may be associated with middle distance running performance in a large sample of recreational runners.
The study population consisted in 43 amateur runners (15 females, 28 males; median age 47 years), who successfully concluded a 21.1 km half-marathon at 75-85% of their maximal aerobic power (VO2max). Whole blood was collected 10 min before the run started and immediately thereafter, and hematological testing was completed within 2 hours after sample collection.
The values of lymphocytes and eosinophils exhibited a significant decrease compared to pre-run values, whereas those of mean corpuscular volume (MCV), platelets, mean platelet volume (MPV), white blood cells (WBCs), neutrophils and monocytes were significantly increased after the run. In univariate analysis, significant associations with running time were found for pre-run values of hematocrit, hemoglobin, mean corpuscular hemoglobin (MCH), red blood cell distribution width (RDW), MPV, reticulocyte hemoglobin concentration (RetCHR), and post-run values of MCH, RDW, MPV, monocytes and RetCHR. In multivariate analysis, in which running time was entered as dependent variable whereas age, sex, blood lactate, body mass index, VO2max, mean training regimen and the hematological parameters significantly associated with running performance in univariate analysis were entered as independent variables, only MPV values before and after the trial remained significantly associated with running time. After adjustment for platelet count, the MPV value before the run (p = 0.042), but not thereafter (p = 0.247), remained significantly associated with running performance.
The significant association between baseline MPV and running time suggest that hyperactive platelets may exert some pleiotropic effects on endurance performance.</description><subject>Adult</subject><subject>Analysis</subject><subject>Anthropometry</subject><subject>Biochemistry</subject><subject>Biology and Life Sciences</subject><subject>Blood</subject><subject>Blood Cell Count</subject><subject>Blood cells</subject><subject>Blood platelets</subject><subject>Body mass</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Cardiovascular disease</subject><subject>Chronic fatigue syndrome</subject><subject>Dependent variables</subject><subject>Eosinophils</subject><subject>Erythrocytes</subject><subject>Exercise</subject><subject>Female</subject><subject>Females</subject><subject>Fitness equipment</subject><subject>Hematocrit</subject><subject>Hematology</subject><subject>Hemoglobin</subject><subject>Hemoglobins</subject><subject>Humans</subject><subject>Humidity</subject><subject>Independent variables</subject><subject>Joint surgery</subject><subject>Laboratories</subject><subject>Lactic acid</subject><subject>Leukocytes</subject><subject>Leukocytes (eosinophilic)</subject><subject>Leukocytes (neutrophilic)</subject><subject>Lymphocytes</subject><subject>Male</subject><subject>Males</subject><subject>Marathons</subject><subject>Mathematical analysis</subject><subject>Mean Platelet Volume</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Monocytes</subject><subject>Morphology</subject><subject>Multivariate Analysis</subject><subject>Outdoor activities</subject><subject>Oxygen consumption</subject><subject>Pain</subject><subject>Physical fitness</subject><subject>Physiological aspects</subject><subject>Physiological effects</subject><subject>Physiological factors</subject><subject>Plasma</subject><subject>Platelets</subject><subject>Population studies</subject><subject>Predictive Value of Tests</subject><subject>Running</subject><subject>Running - physiology</subject><subject>Sports injuries</subject><subject>Systematic 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platelet volume (MPV) predicts middle distance running performance</title><author>Lippi, Giuseppe ; Salvagno, Gian Luca ; Danese, Elisa ; Skafidas, Spyros ; Tarperi, Cantor ; Guidi, Gian Cesare ; Schena, Federico</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c593t-9a4ee035184afa51b5f4a2cf13537f805cbfd4507d7b83f20b3bbca03d5b46a13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adult</topic><topic>Analysis</topic><topic>Anthropometry</topic><topic>Biochemistry</topic><topic>Biology and Life Sciences</topic><topic>Blood</topic><topic>Blood Cell Count</topic><topic>Blood cells</topic><topic>Blood platelets</topic><topic>Body mass</topic><topic>Body mass index</topic><topic>Body size</topic><topic>Cardiovascular disease</topic><topic>Chronic fatigue syndrome</topic><topic>Dependent 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One</addtitle><date>2014-11-11</date><risdate>2014</risdate><volume>9</volume><issue>11</issue><spage>e112892</spage><epage>e112892</epage><pages>e112892-e112892</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Running economy and performance in middle distance running depend on several physiological factors, which include anthropometric variables, functional characteristics, training volume and intensity. Since little information is available about hematological predictors of middle distance running time, we investigated whether some hematological parameters may be associated with middle distance running performance in a large sample of recreational runners.
The study population consisted in 43 amateur runners (15 females, 28 males; median age 47 years), who successfully concluded a 21.1 km half-marathon at 75-85% of their maximal aerobic power (VO2max). Whole blood was collected 10 min before the run started and immediately thereafter, and hematological testing was completed within 2 hours after sample collection.
The values of lymphocytes and eosinophils exhibited a significant decrease compared to pre-run values, whereas those of mean corpuscular volume (MCV), platelets, mean platelet volume (MPV), white blood cells (WBCs), neutrophils and monocytes were significantly increased after the run. In univariate analysis, significant associations with running time were found for pre-run values of hematocrit, hemoglobin, mean corpuscular hemoglobin (MCH), red blood cell distribution width (RDW), MPV, reticulocyte hemoglobin concentration (RetCHR), and post-run values of MCH, RDW, MPV, monocytes and RetCHR. In multivariate analysis, in which running time was entered as dependent variable whereas age, sex, blood lactate, body mass index, VO2max, mean training regimen and the hematological parameters significantly associated with running performance in univariate analysis were entered as independent variables, only MPV values before and after the trial remained significantly associated with running time. After adjustment for platelet count, the MPV value before the run (p = 0.042), but not thereafter (p = 0.247), remained significantly associated with running performance.
The significant association between baseline MPV and running time suggest that hyperactive platelets may exert some pleiotropic effects on endurance performance.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25386658</pmid><doi>10.1371/journal.pone.0112892</doi><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Adult Analysis Anthropometry Biochemistry Biology and Life Sciences Blood Blood Cell Count Blood cells Blood platelets Body mass Body mass index Body size Cardiovascular disease Chronic fatigue syndrome Dependent variables Eosinophils Erythrocytes Exercise Female Females Fitness equipment Hematocrit Hematology Hemoglobin Hemoglobins Humans Humidity Independent variables Joint surgery Laboratories Lactic acid Leukocytes Leukocytes (eosinophilic) Leukocytes (neutrophilic) Lymphocytes Male Males Marathons Mathematical analysis Mean Platelet Volume Medicine and Health Sciences Middle Aged Monocytes Morphology Multivariate Analysis Outdoor activities Oxygen consumption Pain Physical fitness Physiological aspects Physiological effects Physiological factors Plasma Platelets Population studies Predictive Value of Tests Running Running - physiology Sports injuries Systematic review Training |
| title | Mean platelet volume (MPV) predicts middle distance running performance |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-21T12%3A02%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Mean%20platelet%20volume%20(MPV)%20predicts%20middle%20distance%20running%20performance&rft.jtitle=PloS%20one&rft.au=Lippi,%20Giuseppe&rft.date=2014-11-11&rft.volume=9&rft.issue=11&rft.spage=e112892&rft.epage=e112892&rft.pages=e112892-e112892&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0112892&rft_dat=%3Cgale_plos_%3EA418635153%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1622596513&rft_id=info:pmid/25386658&rft_galeid=A418635153&rft_doaj_id=oai_doaj_org_article_fd180ff7a67f446f923d7328cb900960&rfr_iscdi=true |