Comparison of lung functionality between smokers and non-smokers marathon runners / Nurul Fatihah Sidik
Introduction: Marathon runners need a very good lung in order to maintain their performance in a prolong duration. Smoking generally can decreases in lung functionality in marathon runners's performances. Hence, spirometry test was done to compare lung functionality between smoker and non-sm...
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| Format: | Student Project |
| Language: | English |
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Faculty of Sport Science and Recreation
2015
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| Online Access: | http://ir.uitm.edu.my/id/eprint/22063/ http://ir.uitm.edu.my/id/eprint/22063/1/PPb_NURUL%20FATIHAH%20SIDIK%20SR%20C%2015_5.PDF |
| Summary: | Introduction: Marathon runners need a very good lung in order to maintain their performance
in a prolong duration. Smoking generally can decreases in lung functionality in marathon
runners's performances. Hence, spirometry test was done to compare lung functionality
between smoker and non-smoker for marathon runner.
Objectives: The purpose of this study is to determine the lung functionality between smokers
and non-smokers among marathon runner and to compare the outcome measures between
smokers and non-smokers among marathon runner.
Method: The spirometric parameters were measured at two diffrerent categories which is
smokers and non-smokers among marathon runners. The independent variable (N) is
representing the smokers and non-smokers and dependent variable (OV) will be representing
on lung volume. 15 male marathon runners were tested using spirometer and the Force Vital
Capacity (FVC) and Force Expiratory Volume I(FEVl) was measured. Number of smokers
are 7 and the number of non-smokers is 8. Mean and (SO) age for smoker; 25.38±1.80, height;
169.14±4.74 and weight; 65.86±10.82. Mean and SO for age non-smoker; 25.38±2.61, height;
164.60±2.97 and weight; 60.38±6.04. The data collected have been analyzed using Statistical
Package for Social Science (SPSS) version 20.0.
Result: The results show that FEVI has no significance difference between both categories,
but the FEV/FVC% have significant differences between smoker and non-smoker among
marathon runners.
Conclusion: There is a significant difference effect on FEC/FVC% between smoker and non smoker
which there is a significant improvement at mean differences, Thus, the null
hypothesis is accepted. |
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