Fitness Assessment and Anthropometry
VerifiedAdded on 2023/01/09
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This document discusses the relationship between fitness and anthropometric measurements. It explores the use of arm span, BMI, and VO2 max as predictors of health and fitness. The study includes methods, results, and a discussion of the findings.
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Table of Contents
INTRODUCTION...........................................................................................................................3
AIMS AND OBJECTIVES.............................................................................................................3
METHODS......................................................................................................................................3
RESULTS........................................................................................................................................4
DISCUSSION..................................................................................................................................4
CONCLUSION................................................................................................................................5
REFERENCES................................................................................................................................6
2
INTRODUCTION...........................................................................................................................3
AIMS AND OBJECTIVES.............................................................................................................3
METHODS......................................................................................................................................3
RESULTS........................................................................................................................................4
DISCUSSION..................................................................................................................................4
CONCLUSION................................................................................................................................5
REFERENCES................................................................................................................................6
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INTRODUCTION
In human body there are various types of organ system and functions exits. They all perform
different functions. However, when a person exercises it heart rate increases. This is because
body consumes more energy and calories are burnt. So, it requires more oxygen to produce that
energy. Besides it is found that cardiac system and exercise are related to each other. The
increase in heart rate results in rise in blood pressure. It depends on the time interval that how
long exercise in done. In study it has been analysed that sedentary lifestyle is major risk factor
for cardia vascular disease. Having a low level of BP leads to rise in disease. Exercise include
physical activity which enable individual to be fit and fine.
Anthropometry refers to study of measurement of body such as height, weight, etc. along its
functions to find out how far individual reach in varied direction. But concept is related to study
of behaviour pattern acquire by specific group or society. Hence, cardiac system differs on basis
of height, weight, etc of human body. With help of that, it becomes easy to analyse human
measurement and identify impact of exercise. BMI of person depends on its height and weight.
AIMS AND OBJECTIVES
Aim- To determine if a) Arm span is predictor of height and fitness
b) BMI and VO2 max are good predictors of health and fitness
Objectives
complete mathematical calculation to determine BMI and VO2 max
Compare anthropometric measurements with predictors of health and fitness
Evaluate if BMI ad VO2 max are good predictors of health and fitness
METHODS
Here, two tests were conducted that are step test and BMI measurement. in this a metronome
was set up that beat 110 or 120 per minute. The participant was asked to step down and up on
platform for 3 minutes. However, in order to calculate VO two methods was used. In first one
ml\min formula was used and in second nomogram was used for it. Furthermore, for BMI
calculation scale and stadiometer was used. Along with it, half arm span measurement was done
as well. At last performance and value assessment was done. For all this practical experiment
sample size of 7 students was taken.
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In human body there are various types of organ system and functions exits. They all perform
different functions. However, when a person exercises it heart rate increases. This is because
body consumes more energy and calories are burnt. So, it requires more oxygen to produce that
energy. Besides it is found that cardiac system and exercise are related to each other. The
increase in heart rate results in rise in blood pressure. It depends on the time interval that how
long exercise in done. In study it has been analysed that sedentary lifestyle is major risk factor
for cardia vascular disease. Having a low level of BP leads to rise in disease. Exercise include
physical activity which enable individual to be fit and fine.
Anthropometry refers to study of measurement of body such as height, weight, etc. along its
functions to find out how far individual reach in varied direction. But concept is related to study
of behaviour pattern acquire by specific group or society. Hence, cardiac system differs on basis
of height, weight, etc of human body. With help of that, it becomes easy to analyse human
measurement and identify impact of exercise. BMI of person depends on its height and weight.
AIMS AND OBJECTIVES
Aim- To determine if a) Arm span is predictor of height and fitness
b) BMI and VO2 max are good predictors of health and fitness
Objectives
complete mathematical calculation to determine BMI and VO2 max
Compare anthropometric measurements with predictors of health and fitness
Evaluate if BMI ad VO2 max are good predictors of health and fitness
METHODS
Here, two tests were conducted that are step test and BMI measurement. in this a metronome
was set up that beat 110 or 120 per minute. The participant was asked to step down and up on
platform for 3 minutes. However, in order to calculate VO two methods was used. In first one
ml\min formula was used and in second nomogram was used for it. Furthermore, for BMI
calculation scale and stadiometer was used. Along with it, half arm span measurement was done
as well. At last performance and value assessment was done. For all this practical experiment
sample size of 7 students was taken.
3
RESULTS
1 2 3 4 5 6 7 Mean
STPR 138 125 110 90 117 111 180 124.42
Arm
span
155 162 168 166 158 189 188 169.42
Height 155 165 167 166 156 190 187 169.42
Weight 57 67 87 90 65 89 101 79.42
BMI 23.7 24.6 31.2 32.7 26.7 24.7 28.9 27.5
from above table it is analysed that mean value of STPR is 124.42. also, mean of arm span is
169.42. Moreover, the average of height is 169.4 and of weight is 79.4. Besides that, it is
evaluated that BMI average of 7 student is 27.5 that shows overweight. So, student needs to
maintain weight in order to have standard BMI.
DISCUSSION
It is analysed that there is relationship between anthropometric value and fitness. The mean
value of me and student were similar. Also, BMI is reliable data to identify health status.
Moreover, arm span is related to height of me and group. It is because mean value of both are
same. Furthermore, arm span is related to fitness as well. If it is more than a person seems to be
more fit. Similarly, arm span of me and group showed fitness. Alongside, it is analysed that as
heart rate and VO2 depends on height and weight thus there is difference between it and in
person even if they so same exercise. If weight of person is more then heart rate is more as
compared to those whose weight is less. Likewise, if BMI is more then also heart rate and VO
varies in it.
Moreover, taking of maximal oxygen enables in more flow of blood within body. So, it
results in gaining more energy. Hence, a person is able to do more exercise in it. Also, it is
beneficial for elderly people as well. The consideration which are taken is measuring of BMI of
person and heart rate. It gives estimate to predict maximal oxygen value. The methods used in it
are having no limitations.
4
1 2 3 4 5 6 7 Mean
STPR 138 125 110 90 117 111 180 124.42
Arm
span
155 162 168 166 158 189 188 169.42
Height 155 165 167 166 156 190 187 169.42
Weight 57 67 87 90 65 89 101 79.42
BMI 23.7 24.6 31.2 32.7 26.7 24.7 28.9 27.5
from above table it is analysed that mean value of STPR is 124.42. also, mean of arm span is
169.42. Moreover, the average of height is 169.4 and of weight is 79.4. Besides that, it is
evaluated that BMI average of 7 student is 27.5 that shows overweight. So, student needs to
maintain weight in order to have standard BMI.
DISCUSSION
It is analysed that there is relationship between anthropometric value and fitness. The mean
value of me and student were similar. Also, BMI is reliable data to identify health status.
Moreover, arm span is related to height of me and group. It is because mean value of both are
same. Furthermore, arm span is related to fitness as well. If it is more than a person seems to be
more fit. Similarly, arm span of me and group showed fitness. Alongside, it is analysed that as
heart rate and VO2 depends on height and weight thus there is difference between it and in
person even if they so same exercise. If weight of person is more then heart rate is more as
compared to those whose weight is less. Likewise, if BMI is more then also heart rate and VO
varies in it.
Moreover, taking of maximal oxygen enables in more flow of blood within body. So, it
results in gaining more energy. Hence, a person is able to do more exercise in it. Also, it is
beneficial for elderly people as well. The consideration which are taken is measuring of BMI of
person and heart rate. It gives estimate to predict maximal oxygen value. The methods used in it
are having no limitations.
4
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CONCLUSION
It is concluded that arm span is good predictor of height and weight. This is because a
person arm reflects how much height or weight can be. In addition, BMI is good predictor of
health and fitness. It shows whether a person is under , normal or over weight on basis of height
and weight.
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It is concluded that arm span is good predictor of height and weight. This is because a
person arm reflects how much height or weight can be. In addition, BMI is good predictor of
health and fitness. It shows whether a person is under , normal or over weight on basis of height
and weight.
5
REFERENCES
Books and journals
Alam, I. and et.al., 2018. Relationships between the inflammatory potential of the diet, aging and
anthropometric measurements in a cross-sectional study in Pakistan. Nutrition and
healthy aging, 4(4), pp.335-343.
Cervantes, A and et.al 2019. Relationship of anthropometric indices to abdominal body
composition: a multi-ethnic New Zealand magnetic resonance imaging study. Journal of
clinical medicine research, 11(6), p.435.
De Ridder, J. and et.al 2016. Comparison of anthropometric measurements of adiposity in
relation to cancer risk: a systematic review of prospective studies. Cancer Causes &
Control, 27(3), pp.291-300.
Kim, H.T and et.al 2017. Relationships between anthropometric measurements and intraocular
pressure: the Korea National Health and Nutrition Examination Survey. American
journal of ophthalmology, 173, pp.23-33.
Kryst, Ł. and et.al 2019. Anthropometric variations in different BMI and adiposity levels among
children, adolescents and young adults in Kolkata, India. Journal of biosocial
science, 51(4), pp.603-618.
Laal, F and et.al 2018. Relationship between musculoskeletal disorders and anthropometric
indices among bus drivers in Zahedan city. International Journal of Occupational Safety
and Ergonomics, 24(3), pp.431-437.
Lee, C.M.Y. and et.al 2017. Comparison of relationships between four common anthropometric
measures and incident diabetes. Diabetes research and clinical practice, 132, pp.36-44.
Lee, J.Y., and et.al, 2017. Relationship between anthropometric parameters and open angle
glaucoma: The Korea National Health and Nutrition Examination Survey. PLoS
One, 12(5), p.e0176894.
Nezami, M., and et.al, 2016. Associations between consumption of dairy foods and
anthropometric indicators of health in adolescents. Nutrients, 8(7), p.427.
Öztürk, M.E. and Yabancı Ayhan, N., 2018. Associations between poor sleep quality, obesity,
and the anthropometric measurements of women in Turkey. Ecology of Food and
Nutrition, 57(1), pp.3-12.
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Books and journals
Alam, I. and et.al., 2018. Relationships between the inflammatory potential of the diet, aging and
anthropometric measurements in a cross-sectional study in Pakistan. Nutrition and
healthy aging, 4(4), pp.335-343.
Cervantes, A and et.al 2019. Relationship of anthropometric indices to abdominal body
composition: a multi-ethnic New Zealand magnetic resonance imaging study. Journal of
clinical medicine research, 11(6), p.435.
De Ridder, J. and et.al 2016. Comparison of anthropometric measurements of adiposity in
relation to cancer risk: a systematic review of prospective studies. Cancer Causes &
Control, 27(3), pp.291-300.
Kim, H.T and et.al 2017. Relationships between anthropometric measurements and intraocular
pressure: the Korea National Health and Nutrition Examination Survey. American
journal of ophthalmology, 173, pp.23-33.
Kryst, Ł. and et.al 2019. Anthropometric variations in different BMI and adiposity levels among
children, adolescents and young adults in Kolkata, India. Journal of biosocial
science, 51(4), pp.603-618.
Laal, F and et.al 2018. Relationship between musculoskeletal disorders and anthropometric
indices among bus drivers in Zahedan city. International Journal of Occupational Safety
and Ergonomics, 24(3), pp.431-437.
Lee, C.M.Y. and et.al 2017. Comparison of relationships between four common anthropometric
measures and incident diabetes. Diabetes research and clinical practice, 132, pp.36-44.
Lee, J.Y., and et.al, 2017. Relationship between anthropometric parameters and open angle
glaucoma: The Korea National Health and Nutrition Examination Survey. PLoS
One, 12(5), p.e0176894.
Nezami, M., and et.al, 2016. Associations between consumption of dairy foods and
anthropometric indicators of health in adolescents. Nutrients, 8(7), p.427.
Öztürk, M.E. and Yabancı Ayhan, N., 2018. Associations between poor sleep quality, obesity,
and the anthropometric measurements of women in Turkey. Ecology of Food and
Nutrition, 57(1), pp.3-12.
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