Physiology and Fitness Lab Report: Incremental Exercise Response

This lab report examines maximal aerobic power from a physiological perspective, defining it as the power output generated through aerobic energy pathways. The report investigates the body's response to incremental exercise, employing statistical tools like ANOVA, regression, and correlation tests to analyze the data. The introduction highlights the importance of understanding the physiological changes during exercise, such as alterations in blood, oxygen, and carbon dioxide levels, and their impact on heart rate. The research questions focus on identifying performance changes and oxygen level variations after exercise, aiming to inform training prescriptions for athletes and clinical populations. The methodology section outlines the use of ANOVA to determine significant differences between mean values, regression for estimating variable relationships, and correlation to compare variables. The report includes an abstract, introduction, research questions, methods, results, discussion, practical implications, conclusion, and references. This report is a valuable resource for students studying exercise physiology.

PHYSIOLOGY AND FITNESS LAB
REPORT

Abstract
From the physiological perspective, Maximal Aerobic power is defined as power output that is
generated by rower by using aerobic energy pathways. Report discusses about response to
incremental exercise. In order to describe this response Anova, Regression, Independent sample
co-relation tests are being applied in this context.

Table of Contents
INTRODUCTION...........................................................................................................................1
RESEARCH QUESTIONS.............................................................................................................1
RESEARCH METHODS................................................................................................................1
RESULTS........................................................................................................................................2
DISCUSSION..................................................................................................................................2
PRACTICAL IMPLICATIONS......................................................................................................2
CONCLUSION................................................................................................................................2
REFERENCES................................................................................................................................3

INTRODUCTION
Maximal Aerobic power can be defined as corresponds to intensity level where level of
oxygen consumption does not get increased and it reaches to the standard plateau. In the
physiological way, it can be explained as output of power that can be generated by rower by
using aerobic energy pathways (Luque-Casado and et.al, 2016). It can be explained as highest
peak oxygen uptake that an athlete can use while performing dynamic exercise. While doing the
physical exercise blood level, oxygen level, carbon- dioxide level of the person get changed
frequently. If the person is doing hard exercises then that may impact on the heart rate, etc.
(García and et.al, 2014).
For analysing the overall power output of the person present study will take support of
Anova, Regression, Independent sample T test, Chi square, co-relation tests. These are standards
statistical tools that are used by the researcher to find out the optimistic results. Furthermore,
study will do the primary research to know the actual performance and changes in their oxygen
level after the exercise so that proper training can be prescribed to athletes and clinical
populations (Rey and et.al, 2016).
RESEARCH QUESTIONS
RESEARCH METHODS Anova: It is used to find out significant difference between mean value and independent
variables. It shows whether hypothesis is going to be rejected or accepted. Annova test
will help the researcher in knowing the results difference before testing or in the rest
period or in the exercise period (Bates and et.al, 2014). By using this statistical test
potential difference between scale level dependent variables can be determined. One-way
Anova is used in the condition when group randomly splits into sub sections or in the
small groups. Regression: It is another test which is used for estimating relationship between two
variables. It includes independent and dependent variables. It is the method which is
applied to identify the correctness of the program and to track quality of the output. It
supports in knowing the impact of one variable on others (Chidley and et.al, 2015).
 Co-relation: It is another test which is used in SPSS data analysis method, it is applied to
compare two variables. It explains the liner association between two major variables. In
this test it is not obvious which type of variable need to be regarded as response.
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RESULTS
DISCUSSION
PRACTICAL IMPLICATIONS
CONCLUSION
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REFERENCES
Books and Journals
Bates, D. and et.al., 2014. lme4: Linear mixed-effects models using Eigen and S4. R package
version. 1(7). pp.1-23.
Chidley, J. B. and et.al., 2015. Characteristics explaining performance in downhill mountain
biking.International journal of sports physiology and performance. 10(2). pp.183-190.
García, P. L. R. and et.al., 2014. Physical fitness level and its relationship with self-concept in
school children. Psychology. 5(18). pp.2009.
Luque-Casado, A. and et.al., 2016. Differences in sustained attention capacity as a function of
aerobic fitness. Medicine & Science in Sports & Exercise. 48(5). pp.887-895.
Rey, O. and et.al., 2016. Psycho-Physiological Responses of Obese Adolescents to an
Intermittent Run Test Compared with a 20-M Shuttle Run. Journal of sports science &
medicine. 15(3). pp.451.
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