Relationships between Anthropometric, Spirometric, Cardio-Respiratory and Endurance Performance Values among Male Kenyan Runners

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dc.contributor.authorMwangi, Francis Mundia
dc.date.accessioned2023-07-25T12:24:37Z
dc.date.available2023-07-25T12:24:37Z
dc.date.issued2020
dc.descriptionArticleen_US
dc.description.abstractAnthropometric measures such as height and age are used in equations for estimating spirometric values for various populations, while some studies have reported significant relationships between some spirometric, cardio-respiratory and endurance performance. Equations for evaluating spirometric values are usually based on data derived from samples of certain groups of people which may not be representative of the world’s diverse population. This study therefore sought to determine the relationships between anthropometric, spirometric and cardio-respiratory values of Kenyan elite endurance runners. Methods. Ten (10) male purposively selected elite Kenyan runners volunteered to take part in the study. They were instrumented in anthropometric assessments, spirometry assessments, and an incremental treadmill test to exhaustion coupled with cardio-respiratory assessments. Results. Pearson correlation analyses show significant relationships between subjects’ body height and peak expiratory flow (PEF) (r=.741; p=.002), forced vital capacity (FVC) (r=.640; p=.010) and forced expiratory volume in one second (FEV1) (r=.587; p=.021). The runners’ FVC and minute ventilation (VE) had significant correlation with volume of oxygen consumption (VO2) both at submaximal (p<.01) and maximal levels (p<.05). Sitting height recorded a stronger positive association with VO2 (r=.667; p=.009) than body height (r=.564; p=.029), while the latter has a stronger positive association with submaximal endurance speed (r=.668; p=.009) than the former (r=.617; p=.019). Dependent sample t test showed that spirometric values are not significantly different from predicted values (p>.05), but maximum heart rate was significantly lower than predicted (p=.001). Conclusion. Current spirometric prediction equations that use anthropometric variables are fairly accurate. However, more studies are needed to improve prediction and reference values for cardio-respiratory parametersen_US
dc.identifier.citationMwangi, F. M. (2020). Relationships between anthropometric, spirometric, cardio-respiratory and endurance performance values among male Kenyan runners. Педагогико-психологические и медико-биологические проблемы физической культуры и спорта, 15(1 (eng)), 5-13.en_US
dc.identifier.otherDOI: 10.14526/2070-4798-2020-15-1-5-14
dc.identifier.urihttp://ir-library.ku.ac.ke/handle/123456789/26400
dc.language.isoenen_US
dc.publisherФедеральное государственное бюджетное образовательное учреждение высшего~…en_US
dc.subjectEndurance exercise variablesen_US
dc.subjectPredicted valuesen_US
dc.subjectSomatotypeen_US
dc.titleRelationships between Anthropometric, Spirometric, Cardio-Respiratory and Endurance Performance Values among Male Kenyan Runnersen_US
dc.typeArticleen_US
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