Negative Influence of Obesity on Society

This study measures the negative influence of obesity on society through its parameters, risk factors, consequences and develop preventive strategies. It concludes that obesity is a global crisis causing heart disease, diabetes, high blood pressure and certain cancers. Majority of the people agreed that obesity creates a negative impact over the health of the person. The study recommends preventive measures to address the issue of obesity.

Questionnaire

ABSTRACT
Obesity is complex disease that has been involved with the excessive amount of body fat.
This is the disease that has become global crisis as has been causing issues such as heart disease,
diabetes, high blood pressure and certain cancers. The methodology selected is quantitative
because it is assistive in finding accurate and reliable result. The use of SPSS was helpful in
evaluating the data properly and find the output in better terms. With the finding it is clear that
majority of the people stated that people are obese, and they need to solve this issue. Also it was
identified that major negative response of obesity is increase in BP, diabetes and other diseases.

TABLE OF CONTENTS
INTRODUCTION...........................................................................................................................4
METHODS......................................................................................................................................5
Method used.................................................................................................................................5
Sampling......................................................................................................................................5
Research process..........................................................................................................................5
Ethical consideration...................................................................................................................5
Reflexivity...................................................................................................................................5
RESULTS........................................................................................................................................5
DISCUSSION..................................................................................................................................6
CONCLUSION................................................................................................................................7
REFERENCES................................................................................................................................8
APPENDIX 1...................................................................................................................................9
APPENDIX 2.................................................................................................................................19
APPENDIX 3.................................................................................................................................39

INTRODUCTION
Obesity is considered to be a complex disease that has been considered to be having
existed because of the excessive fat in body. It is not just cosmetic concern but has been also
recognized as the disease which can result in development of many different issues in human
body. This includes person suffering from high blood pressure, heart disease, diabetes and many
others. It has been considered to be the issue that is able to cause major issues that are closely
linked to the number of health issues that also include the stroke, blood pressure, heart diseases.
Also it can result in more different consequences such as infertility, kidney stone, cholesterol,
asthma, apnoea and others in some individuals. Obesity is also considered to be the cause of
types of cancers that includes leukaemia, breasts and colon cancer.
Tay and et.al., (2020) explained it as an issue which creates impact over the whole
economy and productivity of the nation along with the defence of the country as well. with
respect to US the cost of health care has been estimated to be as high as it helps in the earlier
estimation of the expected to rise along with the rates of obesity that has been increasing in the
past few years. Heuberger and et.al., (2022) says it has become a global issue for many nations in
which majority of the people are facing this issue or have the lifestyle which is leading them to
obesity. This disease has been considered to be having a higher rate of concern that causes the
patient to spend a lot on medicines and are considered to be the reason due to which their burden
has been surprisingly consequence of the current obesity epidemic.
The negative facts of this disease has made it a global crisis that has already been able to
touch everyone in one manner or another. People in the world now have been able to realize how
big of an issue this disease it and also recognized that it is preventable. Hence, it is the research
like this which helps in recognizing the negative aspects of such a crisis and finding the ways in
which it can be prevented.
Aim:

To study the negative influence on society through the measurement of its parameters,
risk factors, consequences and develop preventive strategies.
Objectives:
 To study the reason behind the development of obesity in humans.
 To discuss the negative influences caused by obesity on the human body.
 To recognize the preventive measures that can be taken by the society avoiding obesity.
 To recommend ways in which issue of obesity can be addressed.
METHODS
Method used
In the present case of analysing the impact of obesity the use of quantitative research will
be undertaken. The reason for the selection of the quantitative method is that it will be providing
a clear base and accurate output to the researcher and objectives will be met accordingly.
Sampling
In the present case, random sample was used in order to gather the data and total of 20
people were taken. This includes the fact that researcher has taken the people who are suffering
from the obesity as they can provide better result.
Research process
The process of the research includes making the questionnaire and then gathering the data
from the sample selected. This is very necessary because in case the data gathered will not be
appropriate then it will be affecting the working of the research. After that SPSS will be applied
and this result will be drawn effectively and in better terms.
Ethical consideration
For the research to be successful it is necessary that the working of the study must be
appropriate and ethical. In the present case proper ethical approval and consent form has been
signed by the participant and then only their personal data is being used within the research.
Reflexivity
In the present case the use of data analysis was undertaken by me. This is particularly
because of the reason that I am good in analysing the data and also have interest in using the
different tools for analysis. Hence, because of this, the data analysis party was done by me and
this resulted in attainment of the objectives.

RESULTS
With the help of the table 1 it is clear that for all variables it is clear that on an average
majority of the people are suffering from the obesity. This is clear that when the people were
asked that at which age people find themselves obese and it was agreed that at age of 15- 20 it is
the highest. Further when it was asked from the participant that whether the obesity develop
negative effect on the health of the person. Then in that case majority of the people agreed that
yes the obesity creates a negative impact over the health of the person to a great extent.
Moreover, with help of table 3 it was clear that the demographic of the population
involves the equal distribution of the population that is 50 % is male and 50 % is female. Along
with this the table 6 highlighted that there is different reason which leads to gaining weight. With
this analysis it is evident that the maximum of the people agreeing with reason that is poor diet
balance and little physical activity.
Along with this table 28 highlighted the fact that there is different reason which can
affect the working and health of the person. With the help of the significance value it is clear that
the alternate hypothesis is selected as it is less than the standard that is 0.05. moreover, the table
31 also states that the alternate is being accepted rejecting the null. It is evident that significance
value is 0.027 and this implies that the majority of the people strongly agrees to the fact that
overweight creates a negative impact over the person’s health.
DISCUSSION
In the views of Chooi, Ding and Magkos (2019) obesity is the major issue which is being
currently faced by majority of the people. This is pertaining to the fact that in the current
environment the lifestyle of the people has changed to a great extent. Hence, this has created
much issue over the living style and working patter of the person. Ultimately this results in the
negative change in lifestyle and the health of the person increases and results in obesity.
By evaluating the above finding it is highlighted that maximum of respondents agrees
that obesity creates a negative impact over the health of the person which is not good. There are
many different reason which results in the increase in weight of the person resulting in person
becoming obese (Popkin and et.al., 2020). This is not good as it creates negative impact over the
health of the person. This reason for gaining much weigh involves having poor diet balance, little
physical activity, genetic issue and many other different reason. Also the lifestyle of the person

has changed like they are more addicted to the use of phone, internet, social media and many
different types of the wrong practices.
On the other hand, World Health Organization, (2020) there are different types of the
negative influence of the overweight of the person. These different types of the negative
influences include person getting high blood pressure, increase in level of the stress and the
mental breakdown. Along with this the other negative influence involves the heart disease and
also can result in diabetes as well.
With the evaluation of the above finding it is clear that there is requirement of managing
and reducing the weight so that obesity can be reduced. This is very necessary for the reason that
when the good practices and strategies will be followed then this will result in improvement in
health of the person (Kwok and et.al., 2020). These strategies involve the fact that person can use
the rainbow diet which will help them in reducing weight. Along with this another strategy can
be doing mental and physical exercise and taking adequate sleep.
CONCLUSION
From this study it was concluded that Obesity in the world is increase and is also starting
the affect the children. This study was able understand the rate of increased affects obesity was
having which was causing a serious problem in the population of health issue that has bad impact
relating to different aspect which includes economic, social, heath and psychological types. This
research has been able to select the appropriate forms of methods of research for being able to
analyse the ways in which obesity is affecting the society and its operations. In this study the
level of understanding that is related to the ways in which the obesity is affecting people has
been found with the help of the related research. Discussion of the research is able to analyse the
results and also help in the development of the related finding of the research questions.

REFERENCES
Books and Journals
Chooi, Y. C., Ding, C. and Magkos, F., 2019. The epidemiology of obesity. Metabolism. 92.
pp.6-10.
Heuberger, L.S., and et.al., 2022. Is It Worth It? Obesity Affects Snack Food Valuation Across
the Menstrual Cycle. Frontiers in Neuroscience. 16.
Kwok, S. and et.al., 2020. Obesity: a critical risk factor in the COVID‐19 pandemic. Clinical
obesity. 10(6). p.e12403.
Popkin, B. M. and et.al., 2020. Individuals with obesity and COVID‐19: a global perspective on
the epidemiology and biological relationships. Obesity Reviews. 21(11). p.e13128.
Tay, J., and et.al., 2020. Race affects the association of obesity measures with insulin sensitivity.
The American journal of clinical nutrition. 111(3). pp.515-525.
World Health Organization, 2020. Overweight and obesity.

APPENDIX 1
Table 1- Descriptive of all variables
Statistics
Q1) What is
present
age?
Q2) What is
your
gender?
Q3) Do you
think that
the major
consequen
ce of
obesity is
overweight
?
Q4) At what age
you suffer
from the
problem of
overweight
?
Q5) What is the
major
reason for
gaining
weight?
Q6)
N Valid 20 20 20 20 20 20
Missing 0 0 0 0 0 0
Mean 2.0000 1.5000 1.4000 2.3000 2.3000 2.150
Median 2.0000 1.5000 1.0000 2.0000 2.0000 1.500
Mode 2.00 1.00a 1.00 2.00 1.00a 1.00
Std. Deviation .72548 .51299 .50262 .97872 1.12858 1.424
a. Multiple modes exist. The smallest value is shown
Frequency Table
Table 2
Q1) What is present age?
Frequency Percent
Valid
Young 5 25.0
Middle aged 10 50.0
Old 5 25.0
Total 20 100.0

Table 3
Q2) What is your gender?
Frequency Percent
Valid
Male 10 50.0
Female 10 50.0
Total 20 100.0

Table 4
Q3) Do you think that the major consequence of obesity is overweight?
Frequency Percent
Valid
Yes 12 60.0
No 8 40.0
Total 20 100.0

Table 5
Q4) At what age you suffer from the problem of overweight?
Frequency Percent
Valid
Below 15 4 20.0
15- 20 9 45.0
21- 30 4 20.0
30 and older 3 15.0
Total 20 100.0

Table 6
Q5) What is the major reason for gaining weight?
Frequency Percent
Valid
Poor diet balance 6 30.0
Little physical activity 6 30.0
Watching phone, TV etc. in
excess 4 20.0
Genetics problem 4 20.0
Total 20 100.0

Table 7
Q6) Do you agree that overweight influences in negative manner?
Frequency Percent
Valid
Strongly agree 10 50.0
Agree 3 15.0
Neutral 3 15.0
Disagree 2 10.0
Strongly disagree 2 10.0
Total 20 100.0

Table 8
Q7) As per your knowledge, what are the negative influences of overweight in a human?
Frequency Percent
Valid
High blood pressure 3 15.0
Stress and mental
breakdown 10 50.0
Heart disease and strokes 3 15.0
Diabetes 4 20.0
Total 20 100.0

Table 9
Q8) Do you agree that Overweight and obesity increase the risk of heart attack?
Frequency Percent
Valid
Strongly agree 10 50.0
Agree 3 15.0
Neutral 3 15.0
Disagree 2 10.0
Strongly disagree 2 10.0
Total 20 100.0

Table 10
Q9) What are certain measures that can be taken to reduce the problem of Overweight in a
people?
Frequency Percent
Valid
Taking rainbow diet 7 35.0
Doing physical and mental
exercise 7 35.0
Reducing screening time 2 10.0
Taking adequate sleep 2 10.0
Consult to doctor 2 10.0
Total 20 100.0

Table 11
Q10) Have you consulted your doctor or dietician regarding the issue of overweight?
Frequency Percent
Valid
Yes 12 60.0
No 8 40.0
Total 20 100.0

APPENDIX 2
Crosstabs
Q3) Do you think that the major consequence of obesity is overweight? * Q1) What is
present age?
Table 12
Crosstab
Count

Q1) What is present age? Total
Young Middle aged Old
Q3) Do you think that the
major consequence of
obesity is overweight?
Yes 2 6 4 12
No 3 4 1 8
Total 5 10 5 20
Table 13
Chi-Square Tests
Value df Asymp. Sig. (2-
sided)
Pearson Chi-Square 1.667a 2 .435
Likelihood Ratio 1.726 2 .422
Linear-by-Linear
Association 1.583 1 .208
N of Valid Cases 20
a. 5 cells (83.3%) have expected count less than 5. The minimum
expected count is 2.00.
Table 14
Symmetric Measures
Value Asymp. Std.
Errora
Approx. Tb Approx. Sig.
Interval by Interval Pearson's R -.289 .205 -1.279 .217c
Ordinal by Ordinal Spearman Correlation -.289 .205 -1.279 .217c
N of Valid Cases 20
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
Q3) Do you think that the major consequence of obesity is overweight? * Q2) What is your
gender?

Table 15
Crosstab
Count
Q2) What is your gender? Total
Male Female
Q3) Do you think that the
major consequence of
obesity is overweight?
Yes 8 4 12
No 2 6 8
Total 10 10 20
Table 16
Chi-Square Tests
Value df Asymp. Sig. (2-
sided)
Exact Sig. (2-
sided)
Exact Sig. (1-
sided)
Pearson Chi-Square 3.333a 1 .068
Continuity Correctionb 1.875 1 .171
Likelihood Ratio 3.452 1 .063
Fisher's Exact Test .170 .085
Linear-by-Linear
Association 3.167 1 .075
N of Valid Cases 20
a. 2 cells (50.0%) have expected count less than 5. The minimum expected count is 4.00.
b. Computed only for a 2x2 table
Table 17
Symmetric Measures
Value Asymp. Std.
Errora
Approx. Tb Approx. Sig.
Interval by Interval Pearson's R .408 .202 1.897 .074c
Ordinal by Ordinal Spearman Correlation .408 .202 1.897 .074c
N of Valid Cases 20

a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
Q4) At what age you suffer from the problem of overweight? * Q1) What is present age?
Table 18
Crosstab
Count
Q1) What is present age? Total
Young Middle aged Old
Q4) At what age you suffer
from the problem of
overweight?
Below 15 0 2 2 4
15- 20 1 6 2 9
21- 30 2 1 1 4
30 and older 2 1 0 3
Total 5 10 5 20
Table 19
Chi-Square Tests
Value df Asymp. Sig. (2-
sided)
Pearson Chi-Square 7.722a 6 .259
Likelihood Ratio 8.630 6 .195
Linear-by-Linear
Association 5.115 1 .024
N of Valid Cases 20
a. 12 cells (100.0%) have expected count less than 5. The minimum
expected count is .75.
Table 20

Symmetric Measures
Value Asymp. Std.
Errora
Approx. Tb Approx. Sig.
Interval by Interval Pearson's R -.519 .157 -2.575 .019c
Ordinal by Ordinal Spearman Correlation -.513 .172 -2.535 .021c
N of Valid Cases 20
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
Q4) At what age you suffer from the problem of overweight? * Q2) What is your gender?
Table 21
Crosstab
Count
Q2) What is your gender? Total
Male Female
Q4) At what age you suffer
from the problem of
overweight?
Below 15 1 3 4
15- 20 5 4 9
21- 30 1 3 4
30 and older 3 0 3
Total 10 10 20
Table 22
Chi-Square Tests
Value df Asymp. Sig. (2-
sided)
Pearson Chi-Square 5.111a 3 .164
Likelihood Ratio 6.363 3 .095

Linear-by-Linear
Association 1.879 1 .170
N of Valid Cases 20
a. 8 cells (100.0%) have expected count less than 5. The minimum
expected count is 1.50.
Table 23
Symmetric Measures
Value Asymp. Std.
Errora
Approx. Tb Approx. Sig.
Interval by Interval Pearson's R -.314 .187 -1.406 .177c
Ordinal by Ordinal Spearman Correlation -.275 .208 -1.216 .240c
N of Valid Cases 20
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
Q5) What is the major reason for gaining weight? * Q1) What is present age?
Table 24
Crosstab
Count
Q1) What is present age? Total
Young Middle aged Old
Q5) What is the major
reason for gaining
weight?
Poor diet balance 1 4 1 6
Little physical activity 2 3 1 6
Watching phone, TV etc. in
excess 2 1 1 4
Genetics problem 0 2 2 4
Total 5 10 5 20

Table 25
Chi-Square Tests
Value df Asymp. Sig. (2-
sided)
Pearson Chi-Square 4.500a 6 .609
Likelihood Ratio 5.178 6 .521
Linear-by-Linear
Association .707 1 .401
N of Valid Cases 20
a. 12 cells (100.0%) have expected count less than 5. The minimum
expected count is 1.00.
Table 26
Symmetric Measures
Value Asymp. Std.
Errora
Approx. Tb Approx. Sig.
Interval by Interval Pearson's R .193 .198 .834 .415c
Ordinal by Ordinal Spearman Correlation .165 .212 .710 .487c
N of Valid Cases 20
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
Q5) What is the major reason for gaining weight? * Q2) What is your gender?
Table 27
Crosstab
Count
Q2) What is your gender? Total

Male Female
Q5) What is the major
reason for gaining
weight?
Poor diet balance 6 0 6
Little physical activity 4 2 6
Watching phone, TV etc. in
excess 0 4 4
Genetics problem 0 4 4
Total 10 10 20
Table 28
Chi-Square Tests
Value df Asymp. Sig. (2-
sided)
Pearson Chi-Square 14.667a 3 .002
Likelihood Ratio 20.088 3 .000
Linear-by-Linear
Association 12.719 1 .000
N of Valid Cases 20
a. 8 cells (100.0%) have expected count less than 5. The minimum
expected count is 2.00.
Table 29
Symmetric Measures
Value Asymp. Std.
Errora
Approx. Tb Approx. Sig.
Interval by Interval Pearson's R .818 .061 6.037 .000c
Ordinal by Ordinal Spearman Correlation .826 .050 6.222 .000c
N of Valid Cases 20
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.

Q6) Do you agree that overweight influences in negative manner? * Q1) What is present
age?
Table 30
Crosstab
Count
Q1) What is present age? Total
Young Middle aged Old
Q6) Do you agree that
overweight influences
in negative manner?
Strongly agree 1 8 1 10
Agree 2 1 0 3
Neutral 1 0 2 3
Disagree 1 1 0 2
Strongly disagree 0 0 2 2
Total 5 10 5 20
Table 31
Chi-Square Tests
Value df Asymp. Sig. (2-
sided)
Pearson Chi-Square 17.267a 8 .027
Likelihood Ratio 18.397 8 .018
Linear-by-Linear
Association 1.232 1 .267
N of Valid Cases 20
a. 14 cells (93.3%) have expected count less than 5. The minimum
expected count is .50.
Table 32
Symmetric Measures
Value Asymp. Std.
Errora
Approx. Tb Approx. Sig.
Interval by Interval Pearson's R .255 .222 1.117 .279c

Ordinal by Ordinal Spearman Correlation .164 .262 .707 .488c
N of Valid Cases 20
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
Q6) Do you agree that overweight influences in negative manner? * Q2) What is your
gender?
Table 33
Crosstab
Count
Q2) What is your gender? Total
Male Female
Q6) Do you agree that
overweight influences
in negative manner?
Strongly agree 7 3 10
Agree 0 3 3
Neutral 0 3 3
Disagree 2 0 2
Strongly disagree 1 1 2
Total 10 10 20
Table 34
Chi-Square Tests
Value df Asymp. Sig. (2-
sided)
Pearson Chi-Square 9.600a 4 .048
Likelihood Ratio 12.736 4 .013
Linear-by-Linear
Association .222 1 .638
N of Valid Cases 20

a. 8 cells (80.0%) have expected count less than 5. The minimum
expected count is 1.00.
Table 35
Symmetric Measures
Value Asymp. Std.
Errora
Approx. Tb Approx. Sig.
Interval by Interval Pearson's R .108 .225 .461 .650c
Ordinal by Ordinal Spearman Correlation .223 .239 .972 .344c
N of Valid Cases 20
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
Q7) As per your knowledge, what are the negative influences of overweight in a human? *
Q1) What is present age?
Table 36
Crosstab
Count
Q1) What is present age? Total
Young Middle aged Old
Q7) As per your knowledge,
what are the negative
influences of
overweight in a
human?
High blood pressure 1 1 1 3
Stress and mental
breakdown 1 7 2 10
Heart disease and strokes 1 1 1 3
Diabetes 2 1 1 4
Total 5 10 5 20
Table 37

Chi-Square Tests
Value df Asymp. Sig. (2-
sided)
Pearson Chi-Square 3.967a 6 .681
Likelihood Ratio 4.051 6 .670
Linear-by-Linear
Association .404 1 .525
N of Valid Cases 20
a. 11 cells (91.7%) have expected count less than 5. The minimum
expected count is .75.
Table 38
Symmetric Measures
Value Asymp. Std.
Errora
Approx. Tb Approx. Sig.
Interval by Interval Pearson's R -.146 .256 -.626 .539c
Ordinal by Ordinal Spearman Correlation -.132 .260 -.565 .579c
N of Valid Cases 20
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
Q7) As per your knowledge, what are the negative influences of overweight in a human? *
Q2) What is your gender?
Table 39
Crosstab
Count
Q2) What is your gender? Total
Male Female

Q7) As per your knowledge,
what are the negative
influences of
overweight in a
human?
High blood pressure 3 0 3
Stress and mental
breakdown 5 5 10
Heart disease and strokes 1 2 3
Diabetes 1 3 4
Total 10 10 20
Table 40
Chi-Square Tests
Value df Asymp. Sig. (2-
sided)
Pearson Chi-Square 4.333a 3 .228
Likelihood Ratio 5.545 3 .136
Linear-by-Linear
Association 3.234 1 .072
N of Valid Cases 20
a. 6 cells (75.0%) have expected count less than 5. The minimum
expected count is 1.50.
Table 41
Symmetric Measures
Value Asymp. Std.
Errora
Approx. Tb Approx. Sig.
Interval by Interval Pearson's R .413 .183 1.922 .071c
Ordinal by Ordinal Spearman Correlation .430 .181 2.018 .059c
N of Valid Cases 20
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
Q8) Do you agree that Overweight and obesity increase the risk of heart attack? * Q1)
What is present age?

Table 42
Crosstab
Count
Q1) What is present age? Total
Young Middle aged Old
Q8) Do you agree that
Overweight and
obesity increase the
risk of heart attack?
Strongly agree 1 8 1 10
Agree 2 1 0 3
Neutral 1 0 2 3
Disagree 1 1 0 2
Strongly disagree 0 0 2 2
Total 5 10 5 20
Table 43
Chi-Square Tests
Value df Asymp. Sig. (2-
sided)
Pearson Chi-Square 17.267a 8 .027
Likelihood Ratio 18.397 8 .018
Linear-by-Linear
Association 1.232 1 .267
N of Valid Cases 20
a. 14 cells (93.3%) have expected count less than 5. The minimum
expected count is .50.
Table 44
Symmetric Measures
Value Asymp. Std.
Errora
Approx. Tb Approx. Sig.
Interval by Interval Pearson's R .255 .222 1.117 .279c
Ordinal by Ordinal Spearman Correlation .164 .262 .707 .488c
N of Valid Cases 20

a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
Q8) Do you agree that Overweight and obesity increase the risk of heart attack? * Q2)
What is your gender?
Table 45
Crosstab
Count
Q2) What is your gender? Total
Male Female
Q8) Do you agree that
Overweight and
obesity increase the
risk of heart attack?
Strongly agree 7 3 10
Agree 0 3 3
Neutral 0 3 3
Disagree 2 0 2
Strongly disagree 1 1 2
Total 10 10 20
Table 46
Chi-Square Tests
Value df Asymp. Sig. (2-
sided)
Pearson Chi-Square 9.600a 4 .048
Likelihood Ratio 12.736 4 .013
Linear-by-Linear
Association .222 1 .638
N of Valid Cases 20
a. 8 cells (80.0%) have expected count less than 5. The minimum
expected count is 1.00.

Table 47
Symmetric Measures
Value Asymp. Std.
Errora
Approx. Tb Approx. Sig.
Interval by Interval Pearson's R .108 .225 .461 .650c
Ordinal by Ordinal Spearman Correlation .223 .239 .972 .344c
N of Valid Cases 20
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
Q9) What are certain measures that can be taken to reduce the problem of Overweight in a
people? * Q1) What is present age?
Table 48
Crosstab
Count
Q1) What is present age? Total
Young Middle aged Old
Q9) What are certain
measures that can be
taken to reduce the
problem of
Overweight in a
people?
Taking rainbow diet 0 4 3 7
Doing physical and mental
exercise 3 3 1 7
Reducing screening time 2 0 0 2
Taking adequate sleep 0 1 1 2
Consult to doctor 0 2 0 2
Total 5 10 5 20
Table 49
Chi-Square Tests

Value df Asymp. Sig. (2-
sided)
Pearson Chi-Square 13.000a 8 .112
Likelihood Ratio 15.196 8 .055
Linear-by-Linear
Association .507 1 .477
N of Valid Cases 20
a. 15 cells (100.0%) have expected count less than 5. The minimum
expected count is .50.
Table 50
Symmetric Measures
Value Asymp. Std.
Errora
Approx. Tb Approx. Sig.
Interval by Interval Pearson's R -.163 .161 -.702 .492c
Ordinal by Ordinal Spearman Correlation -.302 .188 -1.342 .196c
N of Valid Cases 20
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
Q9) What are certain measures that can be taken to reduce the problem of Overweight in a
people? * Q2) What is your gender?
Table 51
Crosstab
Count
Q2) What is your gender? Total
Male Female
Taking rainbow diet 4 3 7

Q9) What are certain
measures that can be
taken to reduce the
problem of
Overweight in a
people?
Doing physical and mental
exercise 3 4 7
Reducing screening time 0 2 2
Taking adequate sleep 1 1 2
Consult to doctor 2 0 2
Total 10 10 20
Table 52
Chi-Square Tests
Value df Asymp. Sig. (2-
sided)
Pearson Chi-Square 4.286a 4 .369
Likelihood Ratio 5.832 4 .212
Linear-by-Linear
Association .253 1 .615
N of Valid Cases 20
a. 10 cells (100.0%) have expected count less than 5. The minimum
expected count is 1.00.
Table 53
Symmetric Measures
Value Asymp. Std.
Errora
Approx. Tb Approx. Sig.
Interval by Interval Pearson's R -.115 .213 -.493 .628c
Ordinal by Ordinal Spearman Correlation -.009 .230 -.038 .970c
N of Valid Cases 20
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
Q10) Have you consulted your doctor or dietician regarding the issue of overweight? * Q1)
What is present age?

Table 54
Crosstab
Count
Q1) What is present age? Total
Young Middle aged Old
Q10) Have you consulted
your doctor or
dietician regarding the
issue of overweight?
Yes 2 6 4 12
No 3 4 1 8
Total 5 10 5 20
Table 55
Chi-Square Tests
Value df Asymp. Sig. (2-
sided)
Pearson Chi-Square 1.667a 2 .435
Likelihood Ratio 1.726 2 .422
Linear-by-Linear
Association 1.583 1 .208
N of Valid Cases 20
a. 5 cells (83.3%) have expected count less than 5. The minimum
expected count is 2.00.
Table 56
Symmetric Measures
Value Asymp. Std.
Errora
Approx. Tb Approx. Sig.
Interval by Interval Pearson's R -.289 .205 -1.279 .217c
Ordinal by Ordinal Spearman Correlation -.289 .205 -1.279 .217c
N of Valid Cases 20
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.

c. Based on normal approximation.
Q10) Have you consulted your doctor or dietician regarding the issue of overweight? * Q2)
What is your gender?
Table 57
Crosstab
Count
Q2) What is your gender? Total
Male Female
Q10) Have you consulted
your doctor or
dietician regarding the
issue of overweight?
Yes 8 4 12
No 2 6 8
Total 10 10 20
Table 58
Chi-Square Tests
Value df Asymp. Sig. (2-
sided)
Exact Sig. (2-
sided)
Exact Sig. (1-
sided)
Pearson Chi-Square 3.333a 1 .068
Continuity Correctionb 1.875 1 .171
Likelihood Ratio 3.452 1 .063
Fisher's Exact Test .170 .085
Linear-by-Linear
Association 3.167 1 .075
N of Valid Cases 20
a. 2 cells (50.0%) have expected count less than 5. The minimum expected count is 4.00.
b. Computed only for a 2x2 table
Table 59

Symmetric Measures
Value Asymp. Std.
Errora
Approx. Tb Approx. Sig.
Interval by Interval Pearson's R .408 .202 1.897 .074c
Ordinal by Ordinal Spearman Correlation .408 .202 1.897 .074c
N of Valid Cases 20
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
APPENDIX 3
Questionnaire
Q1) What is present age?
Q2) What is your gender?
a) Male
b) Female
Q3) Do you think that the major consequence of obesity is overweight?
a) Yes
b) No
Q4) At what age you suffer from the problem of overweight?
a) Below 15
b) 15- 20
c) 21-30
d) 30 and older
Q5) What is the major reason for gaining weight?
a) Poor diet balance
b) Little physical activity
c) Watching phone, tv etc. in excess

d) Genetics problem
Q6) Do you agree that overweight influences in negative manner?
a) Strongly agree
b) Agree
c) Neutral
d) Disagree
e) Strongly disagree
Q7) As per your knowledge, what are the negative influences of overweight in a human?
a) High blood pressure
b) Stress and mental breakdown
c) Heart disease and strokes
d) Diabetes
Q8) Do you agree that Overweight and obesity increase the risk of heart attack?
a) Strongly agree
b) Agree
c) Neutral
d) Disagree
e) Strongly disagree
Q9) What are certain measures that can be taken to reduce the problem of Overweight in a
people?
a) Taking rainbow diet
b) Doing physical and mental excise
c) Reducing screening time
d) Taking adequate sleep

e) Consult to doctor
Q10) Have you consulted your doctor or dietician regarding the issue of overweight?
A) Yes
B) No