Research Article (Open access) |
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SSR Inst. Int. J. Life Sci., 10(1): 3524-3531, Jan 2024
Measuring Physical Activity
and Body Image of Bagalkot Basaveswara High School
Youth
Lakshmavva Gondi1*,
Jayashree Itti2, Keerti D3, Suchitra P3, Laxmi
M3, Gururajayya H3
1Lecturer,
Department of Community Health Nursing, Shri B.V.V.S. Institute of Nursing
Sciences, Bagalkot, Karnataka, India
2Principal,
Prof., and Department of Community Health Nursing, Shri B.V.V.S. of Nursing
Sciences, Bagalkot, Karnataka, India
3Student,
Shri B.V.V.S. of Nursing Sciences, Bagalkot, Karnataka, India
*Address for
Correspondence: Lakshmavva
Gondi, Lecturer, Department of Community Health Nursing, Shri B.V.V.S.
Institute of Nursing Sciences, Bagalkot, Karnataka, India
ABSTRACT- Background: Physical activity involves the coordination
of various muscles, encompassing recreational activities and sports that
require body movement. This study aims to explore the connection between food
choices and physical activity, investigating how lifestyle factors interplay
and influence overall well-being. Understanding this relationship is crucial
for promoting healthier choices and a balanced lifestyle.
Method: The researchers conducted a school survey at Shri Basaveshwara High School, Bagalkot selecting a total of 120
students using the stratified random sampling method. We collected primary data
through research design and planning. Use the body shape and body image report
to evaluate health outcomes and determine the relationship between body shape
and body image and their impact on children's health education.
Results: Assessment of physical activity and body
image and their impact on student health. Value range: 0 to 7, mean: 14.13,
minimum: 0, maximum: 7, standard deviation: 3.02 percentage: 67.30%. The
chi-square value is 4.14 (p-value 0.04), indicating a positive relationship
between Smartphone use and student learning. The chi-square value is 10.35
(p-value 0.01), indicating a significant relationship between body and body
image and its impact on student health.
Conclusion: Without regular physical exercise, students
may miss out on vital experiences like developing communication skills,
understanding cooperation, and learning to work with others, essential aspects
for their overall development.
Key-words: Body
image, Health, High school, Physical Activity, Weight
INTRODUCTION- Physical exercise is characterized as the application of force that enhances muscular exertion and typically results in motion, offering numerous advantages for one's health. Emerging research indicates a direct correlation between physical activity and mental well-being. Recent cross-sectional research has additionally documented a direct correlation between physical activity and body image. Furthermore, physical activity has been demonstrated to serve as a safeguard against body dissatisfaction among young individuals. Engaging in physical activity is linked to enhanced body image, particularly by improving body composition. [1-3]
Physical activity (PA) is defined as a body movement produced by skeletal muscles that increases energy and reduces time spent sitting in front of a screen. Eating and tracking are particularly associated with physical, mental and health development.
[2-4] More and more young people are reporting health complaints and
health concerns. These complaints increase during adolescence and are related
to personal health. That is why self-care is an important aspect of teen
health. [5,6]
Body image is defined as each person's mental and conscious representation of the structure and understanding of their own body and is influenced by understanding, knowledge, behavior, thought and leadership.
[7,8] One's ability to participate in recreational activities,
handle emergencies, and perform daily tasks without experiencing undue fatigue.
Scientists now classify the body based on the body and its health, including
morphological and structural integrity, metabolic activity, and bone health. [9,10]
MATERIALS
AND METHODS- The study was conducted at Shri
Basaveshwara High School, Bagalkot using a stratified
random sampling technique and a total of 120 students
were selected. Primary data was collected
through research design and planning. Use the Body Shape and Body Image Report
to evaluate health outcomes and determine the relationship between body shape
and body image and their impact on children's health education.
Data Source- This study focused on young people and adopts a descriptive, non-experimental research approach to analyze the level of physical activity and its influence on body image. The research method involves collecting data to elucidate the facts and characteristics of the selected sample, emphasizing a descriptive approach to meet the study objectives.
Research Design- A cross-sectional study is a design in which
the researcher collects data at a specific point in time (10 am to 5 pm). This
study is descriptive; researchers need to contact a selected group of young
people and collect information about their bodies and body image. Because
collecting data only once per intervention was not possible in this study,
researchers deemed a cross-sectional approach appropriate.
Variables- Dependent variables- In this study, the variables depend on the
youth's physical activities, such as lifting weights, cycling fast, and playing
daily games.
Independent variable- The independent variable is the adolescent's body image.
Socio-demographic variables- Age, gender, family type, monthly income of the family, family members,
religion, place of residence, father's education, father's profession, mother's
education, and mother's job.
Study area- Researchers conducted the study at Shri Basaveshwara High School, Bagalkot and a total of 120
young people studied at this high school. There are 40 students in each
standard, and we have selected 20 girls and 20 boys from each standard (8th,
9th, and 10th).
Target Group- The
target group of this study consists of young people studying at Bagalkot High
School. In this study, the accessible cluster consists of youth between the
ages of 13 and 17 years studying in Shri Basaveswara
High School, Bagalkot.
Sample and sample size of this study consisted of young people between the ages of 13 to 17.
He is 39 in 8th standards, 40 in 9 standards, and 41 in 10
standards, all studying at Shri Basaveswara High
School, Bagalkot. The sample size of this study is N=120.
Sampling Method- The sample of this study was selected using the
stratified random sampling technique. Our group is organized according to class
structure. Each group was divided into two groups according to gender. As an
example, the general population of Shri Basaveswara
High School, Bagalkot, participated in this study.
Data collection tools- Data collection tools are techniques that researchers
use to observe or measure significant changes in their research questions. In
this study, a sample and a prepared questionnaire were used to collect data.
Prior Permission Obtained- The Director of Shri BVVS Health Institute, Bagalkot, granted official permission. The researcher used a random sampling technique to select subjects that met the inclusion criteria. The researcher explained the purpose of the study to the participants and obtained their consent. The researchers conducted a pilot study in selected districts of Bagalkot between 18-02-2023 to 22-02-2023 to assess the feasibility and effectiveness of the design. We recruited twelve youths to select and self-administer standards, close-ended physical activity, and physical questionnaires.
Statistical analysis- Statistical analysis is the systematic organization and synthesis of
research data and the use of collected data to test research hypotheses. The
data were analyzed using descriptive and inferential statistics. Analyze
population data using frequencies and distribution percentages. Use the mean
and standard deviation to measure teens' scores. Card Group used least squares
tests to find relationships between physical activity levels and body image on
selected social variables.
Ethical
Approval- An ethical approval certificate was received
from the BVV Ethics Committee and the Sajjalashri
Institute of Nursing Sciences, Nawanagar Bagalkot.
The mothers of children under five years of age who participated in this study
provided informed consent. We protect the information and identities of youth
anonymously and confidentially.
Table
1: Distribution of the sample according to their
socio-demographic factors
Socio-demographic factor |
Character |
Frequency |
Percentage (%) |
Age |
13-14years |
37 |
30.83 |
15-16years |
77 |
64.16 |
|
17 and above |
6 |
5 |
|
Sex |
Male |
67 |
55.83 |
Female |
53 |
44.16 |
|
Standard of learning |
8th |
41 |
34.16 |
9th |
39 |
32.5 |
|
10th |
40 |
33.33 |
|
Type of family |
Nuclear |
97 |
80.83 |
Joint |
23 |
19.16 |
|
Religion |
Hindu |
106 |
88.33 |
Muslim |
13 |
10.83 |
|
Other |
1 |
0.83 |
|
Number of family members |
1-4 |
39 |
32.5 |
5-8 |
58 |
48.33 |
|
9-12 |
15 |
12.5 |
|
13 and above |
8 |
6.66 |
|
Education of the mother |
No formal education |
8 |
6.66 |
Primary |
23 |
19.16 |
|
High school |
62 |
51.66 |
|
PUC& above |
27 |
22.5 |
|
Occupation of the mother |
Government Employee |
8 |
6.66 |
Private Employee |
12 |
10 |
|
Business |
11 |
9.16 |
|
Housewife |
77 |
64.16 |
|
Coolie |
12 |
10 |
|
Education of the father |
Primary |
19 |
15.83 |
High school |
49 |
40.83 |
|
PUC |
38 |
31.66 |
|
Graduation and above |
14 |
11.66 |
|
Occupation of the father |
Unemployed |
7 |
5.83 |
Coolie |
11 |
9.16 |
|
Government employee |
19 |
15.83 |
|
Private employee |
24 |
20 |
|
Business |
59 |
49.16 |
|
Family monthly income |
Rs <10,000 |
76 |
63.33 |
Rs 10,000 to 20,000 |
24 |
20 |
|
Rs>20,000 |
20 |
16.66 |
|
Place of residence |
Rural |
33 |
27.5 |
Urban |
87 |
72.5 |
|
Hobbies for physical activities |
Yes |
118 |
98.33 |
No |
2 |
1.66 |
|
Parents marital status |
Together |
111 |
92.5 |
Divers |
3 |
2.5 |
|
Death of parents |
6 |
5 |
The
chi-square value is 10.35 (p<0.01), suggesting a significant
positive association between the computed chi-square value is 0.91 (0.92),
suggesting that there is no statistically significant association between the
religious views of young individuals and their levels of physical
activity. The chi-square value of 8.43
(p=0.208) indicates that there is no statistically significant link between the
number of family members and physical activity level in adolescents. The
chi-square value of 2.13 (p=0.90) suggests that there is no statistically
significant association between the education level and activity levels of
young moms. The computed chi-square
value is 11.07 (p=0.19), suggesting that there is no statistically significant
association between the baby's physical activity and that of young moms. The
chi-square value of a Father's education is 4.35 (p=0.62), suggesting that
there is no statistically significant association between the education level
of young fathers and their physical activity levels. The computed chi-square value is 11.85
(p=0.15), suggesting that there is no statistically significant association
between the occupation of the young person's father and their level of physical
activity. The chi-square value of 2.64
(p=0.61) suggests that there is no statistically significant association between
family income and physical activity among young individuals (Table 2).
Table 2: Distribution
and description of the sample based on physical activity level
Socio-demographic variables |
Chi-square Value |
D.f |
p<0.05 |
Age |
2.72 |
4 |
0.60* |
Sex |
10.35 |
2 |
0.01** |
Standard of learning |
29.54 |
4 |
0.01** |
Type of family |
0.71 |
2 |
0.70* |
Religion |
0.91 |
4 |
0.92* |
Number of family members |
8.43 |
6 |
0.20* |
Education of the mother |
2.13 |
6 |
0.90* |
Occupation of the mother |
11.07 |
8 |
0.19* |
Education of the father |
4.35 |
6 |
0.62* |
Occupation of the father |
11.85 |
8 |
0.15* |
Family income |
2.64 |
4 |
0.61* |
Place of residence |
2.34 |
2 |
0.31* |
Hobbies for physical activity |
3.39 |
2 |
0.18* |
Parents marital status |
5.84 |
4 |
0.21* |
α
=0.05; *All the values are statistically non-significant; **All the values are
statistically significant
The
chi-square value of 2.34 (0.31) suggests that there is no statistically
significant association between the residential location of young individuals
and their levels of physical activity. Regarding interest in sports, the
chi-square value of 3.39 (0.18) indicates that there is no statistically
significant correlation between the level of interest young people have in
sports and their actual physical activity.
The chi-square value is 5.84 (p=0.21), suggesting that there is not a
statistically significant association between the married status and physical
activity of young individuals. The chi-square value of 29.54 (p<0.01)
suggests a statistically significant association between the education level of
young individuals and their engagement in physical activities (Table 3).
Table 3: Distribution
and description of samples based on their body image
Socio-demographic variables |
Chi-square Value |
D.f |
p<0.05 |
Age |
2.47 |
4 |
0.65* |
Sex |
1.44 |
2 |
0.48* |
Standard of learning |
14.85 |
4 |
0.01** |
Type of family |
0.92 |
2 |
0.63* |
Religion |
4.25 |
4 |
0.87* |
Number of family members |
4.91 |
6 |
0.55* |
Education of the mother |
11.53 |
6 |
0.07* |
Occupation of the mother |
10.58 |
8 |
0.22* |
Education of the father |
8.39 |
6 |
0.21* |
Occupation of the father |
10.6 |
8 |
0.22* |
Family income |
7.6 |
4 |
0.10* |
Place of residence |
0.54 |
2 |
0.76* |
Hobbies for physical activity |
1.41 |
2 |
0.49* |
Parents marital status |
6.3 |
4 |
0.17* |
α
=0.05; *All the values are statistically non-significant; **All the values are
statistically significant
Table 4: Distribution and description of samples based on their body mass index
Height
for Age |
F |
Percentage
(%) |
BMI
range |
Normal |
61 |
50.83 |
18.50-24.99 |
Under
Nourished |
52 |
43.33 |
<
18.50 |
Over
Nourished |
7 |
5.8 |
>
25 |
Table 5 shows the physical activity of young people according
to their height. Of the 120 young people, 61 (50.83%) showed normal growth, 52
(43.33%) showed small growth, and 7 (5.80%) were eating too much. The
mean, standard deviation and percentage of young people's physical activity
scores showed that the percentage of young people's thinking ability scores was
67.30%, and the difference percentage of young people was 14.13 3.02.
Table 5: Distribution
and description of results based on physical activity level
Variable |
Range |
Mean |
S. D |
Median |
Mean (%) |
physical activity |
0-7 |
14.13 |
3.020 |
14 |
67.30 |
The
mean, standard deviation and percentage of young people's physical activity
scores showed that the percentage of young people's thinking ability scores was
48.01%, and the percentage of young people's difference score was 28.8 5.67
(Table 6).
Table 6: Distribution and description of results based on body image
Variable |
Range |
Mean |
S. D |
Median |
Mean (%) |
Body Image |
0-12 |
28.8 |
5.67 |
29 |
48.01 |
DISCUSSION- Researchers conducted this study to measure the physical activity levels
and body image of Bagalkot High School youth. The distribution of physical
activity across the 32 countries decreased from 0.80 to 0.70 for physical
activity and from 0.47 to 0.39 for ST activity, but always from 0.35 to 0 for
activity played by children to 0.40. The preliminary study covered 120 of the
167 sample plots in Germany. [11-13]
Results showed that early development, body
dissatisfaction, and appearance were associated with self-esteem in 11-year-old
girls. In this study, 79% of boys and 44% of girls were satisfied with their
weight; this rate was higher than in previous studies. A 5-year study of
Norwegian teenagers aged 13, 15, and 18 found that body image predicted changes
in depression in boys and girls. Still, there was no evidence that depression
had an effect on stress on body image. [14-17]
Researchers also conducted similar
studies in European and North American countries. Our analysis shows that more
than 80% of young people aged 11 17 in school worldwide did not meet today's
recommendations in 2016 and that these children can stay healthy now and into
the future. In summary, our analysis provides the first estimates of physical
frailty in 146 countries and examines global, regional, and national trends in
physical frailty as 1.6 million young people attend school. [18-23]
The results of this research are similar
to the research in Estonia. The current findings support a model of
motivational processes that is based on self-determination and is often
consistent with research hypotheses. The range is 0.10 to 0.19. Studies using
self-reported measures of physical activity explain a difference of 15% to 29%.
The current findings are more common in girls than boys. Additionally, findings
show that girls are more motivated than boys in terms of motivational processes
and physical goals (469). [24-26] Compare results from other studies
showing malnutrition: United States: 22% to 26%, Canada 16%, Japan 35%, South
Africa 21.2%, Turkey 45.2%, Singapore 10.5%, our results are the same as
compared to these. Eating disorders were negatively associated with body mass
index (r=-0.181, n=191, p=0.12).
CONCLUSIONS- Our study
concluded that youngsters who played sports on a regular basis had more
favorable body ideals and better weight statuses than their peers who did not
play sports. In addition, males who did not participate in sports during
adolescence experienced body image problems at the same rate as girls, even
though women experienced higher degrees of depression and anxiety regarding
their appearance. Accordingly, the latest research validates the beneficial
impacts of sports on body image and could encourage youth to adopt more active,
healthier lifestyles and to develop greater self-awareness. In order to promote
and raise awareness regarding youth sports participation among young people and
the adults in their immediate surroundings such as teachers, parents, and
educators more effort needs to be made.
Teachers and educators need to be more aware of the value of proper
body-image perspectives in order to encourage healthy lifestyles and a positive
body image in teenagers, especially in the setting of schools. Students will
benefit from this and become more aware of the problem. A body image assessment
might be required in order to identify kids who are at risk.
Acknowledgments: We
thank the anonymous referees for their valuable suggestions. My heart is full
of gratitude to those who contributed.
CONTRIBUTION
OF AUTHORS
Research proposal: Prof. Jayashri Itti, Lakshmavva Gondi
Research design: Lakshmavva Gondi
Supervision: Lakshmavva Gondi
Documentation: Lakshmavva
Gondi, Prof. Jayashree
Itti, Keerti D, Suchitra P, Laxmi M, Gururajayya H
Data collection: Lakshmavva Gondi, Prof. Jayashree Itti, Keerti D,
Suchitra P, Laxmi M, Gururajayya H
Data analysis and interpretation: Lakshmavva Gondi, Prof. Jayashree Itti, Keerti D,
Suchitra P, Laxmi M, Gururajayya H
Who researched: Lakshmavva Gondi, Prof. Jayashree Itti, Keerti D,
Suchitra P, Laxmi M, Gururajayya H
Author of the article: Lakshmavva Gondi, Prof. Jayashree Itti, Keerti D, Suchitra P, Laxmi M, Gururajayya
H
Critical review: Lakshmavva Gondi
Editor of the article: Lakshmavva Gondi
Final approval: Prof. Jayashri Itti, Lakshmavva Gondi
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