Predicting maximum oxygen consumption based on anthropometric dimensions in medical emergency students
Background and aims: Body anthropometric dimensions are among the factors affecting the maximum oxygen consumption. This study aimed to predict maximum oxygen consumption based on anthropometric dimensions in medical emergency students. Methods: This cross-sectional analytical study was conducted am...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | fas |
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Iran University of Medical Sciences
2018-03-01
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| Series: | Salāmat-i kār-i Īrān |
| Subjects: | |
| Online Access: | http://ioh.iums.ac.ir/article-1-1983-en.html |
| _version_ | 1818339156546289664 |
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| author | payam heydari sakineh varmazyar mojtaba jafarvand shamseddin alizadeh chia hakimi |
| author_facet | payam heydari sakineh varmazyar mojtaba jafarvand shamseddin alizadeh chia hakimi |
| author_sort | payam heydari |
| collection | DOAJ |
| description | Background and aims: Body anthropometric dimensions are among the factors affecting the maximum oxygen consumption. This study aimed to predict maximum oxygen consumption based on anthropometric dimensions in medical emergency students.
Methods: This cross-sectional analytical study was conducted among 56 medical emergency students from Qazvin University of medical sciences. Initially, physical activity readiness Questionnaire (PAR-Q) was applied to ensure the full health of participants to inter the study. Maximum oxygen consumption measured using Gerkin treadmill test. Anthropometric dimensions were measured by tape measure, anthropometer and kolis. Obtain data was analyzed by Pearson product moment correlation and multiple linear regressions in SPSS 19 software.
Results: The mean age of participants was 21.69 years. The mean of maximum oxygen consumption and mean of foot length estimated 4.17 L/min and 96.35 cm, respectively. There was significant correlation between the maximum oxygen with the anthropometric dimensions. Variables of dimensions of abdomen circumstance, foot length and leg circumstance predicted 63.7 percent of the maximum oxygen consumption.
Conclusion: The results indicated that the anthropometric dimensions are the factors affecting the maximum oxygen consumption among medical emergency student. So, it is necessary to be paid attention to anthropometric dimension in selection of students and matching between person capabilities with energy. |
| first_indexed | 2024-12-13T15:22:32Z |
| format | Article |
| id | doaj.art-bfa84ce08681459aa3933eab13564743 |
| institution | Directory Open Access Journal |
| issn | 1735-5133 2228-7493 |
| language | fas |
| last_indexed | 2024-12-13T15:22:32Z |
| publishDate | 2018-03-01 |
| publisher | Iran University of Medical Sciences |
| record_format | Article |
| series | Salāmat-i kār-i Īrān |
| spelling | doaj.art-bfa84ce08681459aa3933eab135647432022-12-21T23:40:32ZfasIran University of Medical SciencesSalāmat-i kār-i Īrān1735-51332228-74932018-03-01146126134Predicting maximum oxygen consumption based on anthropometric dimensions in medical emergency studentspayam heydari0sakineh varmazyar1mojtaba jafarvand2shamseddin alizadeh3chia hakimi4 Background and aims: Body anthropometric dimensions are among the factors affecting the maximum oxygen consumption. This study aimed to predict maximum oxygen consumption based on anthropometric dimensions in medical emergency students. Methods: This cross-sectional analytical study was conducted among 56 medical emergency students from Qazvin University of medical sciences. Initially, physical activity readiness Questionnaire (PAR-Q) was applied to ensure the full health of participants to inter the study. Maximum oxygen consumption measured using Gerkin treadmill test. Anthropometric dimensions were measured by tape measure, anthropometer and kolis. Obtain data was analyzed by Pearson product moment correlation and multiple linear regressions in SPSS 19 software. Results: The mean age of participants was 21.69 years. The mean of maximum oxygen consumption and mean of foot length estimated 4.17 L/min and 96.35 cm, respectively. There was significant correlation between the maximum oxygen with the anthropometric dimensions. Variables of dimensions of abdomen circumstance, foot length and leg circumstance predicted 63.7 percent of the maximum oxygen consumption. Conclusion: The results indicated that the anthropometric dimensions are the factors affecting the maximum oxygen consumption among medical emergency student. So, it is necessary to be paid attention to anthropometric dimension in selection of students and matching between person capabilities with energy.http://ioh.iums.ac.ir/article-1-1983-en.htmlkeywords: maximum oxygen consumptionanthropometric dimensionstudentsmedical emergency |
| spellingShingle | payam heydari sakineh varmazyar mojtaba jafarvand shamseddin alizadeh chia hakimi Predicting maximum oxygen consumption based on anthropometric dimensions in medical emergency students Salāmat-i kār-i Īrān keywords: maximum oxygen consumption anthropometric dimension students medical emergency |
| title | Predicting maximum oxygen consumption based on anthropometric dimensions in medical emergency students |
| title_full | Predicting maximum oxygen consumption based on anthropometric dimensions in medical emergency students |
| title_fullStr | Predicting maximum oxygen consumption based on anthropometric dimensions in medical emergency students |
| title_full_unstemmed | Predicting maximum oxygen consumption based on anthropometric dimensions in medical emergency students |
| title_short | Predicting maximum oxygen consumption based on anthropometric dimensions in medical emergency students |
| title_sort | predicting maximum oxygen consumption based on anthropometric dimensions in medical emergency students |
| topic | keywords: maximum oxygen consumption anthropometric dimension students medical emergency |
| url | http://ioh.iums.ac.ir/article-1-1983-en.html |
| work_keys_str_mv | AT payamheydari predictingmaximumoxygenconsumptionbasedonanthropometricdimensionsinmedicalemergencystudents AT sakinehvarmazyar predictingmaximumoxygenconsumptionbasedonanthropometricdimensionsinmedicalemergencystudents AT mojtabajafarvand predictingmaximumoxygenconsumptionbasedonanthropometricdimensionsinmedicalemergencystudents AT shamseddinalizadeh predictingmaximumoxygenconsumptionbasedonanthropometricdimensionsinmedicalemergencystudents AT chiahakimi predictingmaximumoxygenconsumptionbasedonanthropometricdimensionsinmedicalemergencystudents |