Research Article (Open access) |
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SSR Inst. Int. J. Life Sci., 10(1): 3494-3500, Jan 2024
Youth Helping Attitudes and Happiness: A
Cross-Sectional Study in High Schools in Bagalkot
1Lecturer, Dept. of
Psychiatric Nursing, B.V.V. Sangha s Shri B.V.V.S. Institute of Nursing
Sciences, Bagalkot-587101, Karnataka, India
2Principal, Dept. of
Community Health Nursing, Shri BVVS Institute of Nursing Sciences, Bagalkot,
Karnataka, India
3Student, Dept. of
Psychiatric Nursing, B.V.V. Sangha s Shri B.V.V.S. Institute of Nursing
Sciences, Bagalkot-587101, Karnataka, India
Corresponding Author Poornima Meti,
Lecturer, Dept. of Psychiatric Nursing, Basaveshwar Veerashaiva Vidyavardhak
Sangha s Shri Basaveshwar Institute of Nursing Sciences, Bagalkot, Karnataka,
587101, India
Email: poornimamantur714@gmail.com
Methods: The helping attitude
was measured using a helping attitude scale, and happiness was measured using a
subjective happiness scale from a convenient sample of 140 adolescents studying
in selected high schools in Bagalkot in a cross-sectional design. The data were
analyzed using descriptive and inferential statistics.
Results: Findings indicate that
levels of helping attitude among adolescents reveal that most adolescents
(52.14%) had a high helping attitude, the remaining 47.85% had a moderate
helping attitude, and no adolescent had a low helping attitude. Results depict
that the total mean percentage of helping attitudes among adolescents was
79.57%, with a mean and SD of 79.5714 8.46. A chi-square test was calculated to
assess the association of the level of helping attitude with their selected
socio-demographic variables, and a significant association was found between
the helping attitude and sex of adolescents (χ2=0.0101).
Conclusion: The study's findings
concluded that most adolescents had a high and moderate level of helping
attitude, and most adolescents had a moderate and high level of happiness.
Keywords: Adolescence, Assess,
Happiness, Helping attitude, Socio-demographic variable
INTRODUCTION- When you help other people, you help yourself. It s impossible not to
feel great when you do good for other people.
Disaster relief is very necessary for the
individual; it helps maintain relationships but also helps eliminate or prevent
many problems, such as providing money, food, shelter and other medical
services (blood donation, organ donation agency, etc). Helping people
experiencing poverty [1]. Helping behaviour in daily life
shows interest and concern for the wellbeing of others. Being generous with the
cause of others is about helping others. This could be money, recycling, some
gift, or selfless assistance. Simply put, it means caring about the health of
others and working to help them. Bad behaviour may arise from personal egoism
or a "pure" desire to benefit others, regardless of their inner
feelings. With a positive attitude, such as a helping attitude, a person enjoys
"helping" others and can reduce many negative emotions in his daily
life [2].
Good skills can only be acquired in a
good environment. If schools provide such an environment, cooperation,
cooperation (instead of self-centred behaviour), hope, self-sufficiency (for
the health of society), and thinking (which is also important if people see the
world as a place), then the student will be able to learn in the future. It
will bring out the best that will help you face challenges easily and well. A
good school culture encourages good student behaviour [3].
A positive attitude helps one improve
one's health and foster positive thinking. These benefits are reflected in many
negative behaviours, such as volunteering, donating blood, donating money,
spending money on others, and doing small actions such as offering coffee,
making friends a good friend, or making someone smile. Research examines the
relationship between altruism and happiness across many demographic groups [4].
The development of video games has become the focus of many people's thoughts
today. The rapid growth of game consoles and online games worldwide has become
the main source of entertainment and has allowed them to update technology.
Most current research on video games
focuses on their negative behavioural and psychological effects on people.
However, despite growing evidence regarding the threat posed by video games,
existing research often needs to pay more attention to the positive effects of
video games on motivation, personality, style, and behaviour [5].
Research conducted in the last few years
has shown that positive thoughts and behaviours such as hope, help, love and
optimism significantly impact health. Still, the history of philosophy and
philosophical science is short in general: schizophrenia, depression,
depression, anxiety disorders, alcoholism, etc. Research on the negative
aspects of diseases will gain importance [6]. Being kind and gentle
has a positive impact on our health and happiness. Maybe we will stay even
longer. Being kind also helps reduce stress and improve our mood [7].
Subjective well-being (SWB), which
specifically measures happiness and life satisfaction, is increasingly
recognized as an important goal of international policy. In recent years,
researchers in many disciplines beyond psychology have been investigating what
makes people happy [8]. Personal and social situations gain
importance in all activities. The behaviour is an acquired behaviour that is
developed by young people, mostly in school and society [9].
A good attitude doesn't mean always
having a smile on your face; more than that [10]. When you have
compassion and kindness, they put their prejudices aside," Post said.
"One of the best ways to overcome stress is to do something to help
others" [11]. Our bodies and minds benefit in many ways when we
help others. Some studies focus on "auxiliary repression." Research
shows that volunteering, donating money, or just the thought of donating can
release chemicals in the brain and increase brain support through nutrition and
sex [12].
MATERIALS AND METHODS- This study was
conducted in January 2023. A convenience sample of 140 eighth, ninth and
tenth-class students from various high schools in Bagalkot was selected for
this study. Youth in eighth, ninth, and tenth grades participated in the study
voluntarily, and data were collected from the helping attitude scale and
subjective happiness scale, which measure helping behaviour and health,
respectively. The collected data were analyzed using descriptive and
inferential statistics.
Research Approach- This study aims to
collect information about youth programs and happiness levels. Therefore, a
non-experimental qualitative approach was considered appropriate for the
research.
Research Design- The term research
design refers to the research plan. Research design is a type of statistical
analysis that helps researchers select subjects, identify variables, control
and control variables, make observations, and interpret data.
A descriptive social research design was adopted for this research.
Variables to Examine- A variable is something
that can be measured and can change something. Change is the quality,
characteristic, or characteristic of a person, thing, or situation that changes
or changes. This study identified three types of changes. They are as follows.
Research Variable 1: Helping Behavior of
Young People
Research Variable 2:
Happiness of Young People
Socio-demographic
variables-
Socio-demographic variables included in this research include age, gender,
religion, father's education, mother's education, father's profession, mother's
profession, family income, family type and place of residence.
Setting of the study- The setting is where
the population or the portion of it is located and where the study is carried
out. The present study was conducted at Basaveshwara Higher Secondary School,
Bagalkot.
Population- A population is a
collection of people or subjects, who share a characteristic of interest to the
researcher. The target population is the people the researcher needs to study.
The research results were specific to them.
The accessible population is the group
where the researcher's research can be easily found. The target audience of
this study includes young people studying in various high schools in Bagalkot
district. The target audience of this study is young people studying at
Basaveshwara High School in Bagalkot, India.
Sample and Sample Size-
This
sample consists of subjects in the units that constitute the population of this
study. The current sample consists of 140 youth aged between 13 and 17 years
studying at Basaveshwara High School, Bagalkot, India.
Sampling Technique- The sampling
technique is selecting a portion of the population to obtain information about
a problem. A stratified proportional random sampling technique was used in this
study.
Sampling Criteria- The sampling criteria
developed by the researcher included the following criteria:
Inclusion Criteria
Youth in 8th, 9th or 10th grade
Information for this article is available at the time of writing.
Willingness to participate in this study
Exclusion criteria
illness at the time of information collection.
Refusal to participate in the research
Data collection tools- Data collection tools
are methods or tools used by researchers to observe or measure important
variables in a research problem. The Behavioral and Health Services Program was
used in this study.
Content validity- Some measures of
content validity in nursing were given to five experts, 4 of whom were selected
through a simple random selection process. The researcher explained the purpose
of the study to the participants, and their consent was obtained. Data were
collected from youth who underwent the inclusion criteria.
Data collection process- Preliminary
permission was obtained from the relevant organizations before starting the
data collection process. The students were in high school at the time of the
study. Data were collected from all youth who met the inclusion criteria.
Consent can only be obtained at older ages. Before the evaluation, the purpose
of the study was explained to the participants.
Statistical Analysis- Descriptive statistics
and inferential statistics were used in the analysis of the data obtained in
accordance with the purpose of the research. Key documents were prepared based
on the participants' responses. Use frequency and percentage analysis functions
to select and filter different groups in text and images.
Ethical Clearance- Ethical clearance was
obtained from the Institutional Ethics Committee of BVVS Institute of Nursing
Sciences, Bagalkot.
RESULTS- Samples characteristics- The percentage of young people by age
group shows that most (68%) are 13-17 years old and above. The majority of
adolescents (55.71%) were males. Most adolescents (85.71%) belonged to the
Hindu religion; most adolescents (42.85%) were studying in the 10th
grade. Most of an adolescent's father's educational status (42.84%) is
secondary education. Most adolescent mothers' educational status (49.28%) is
primary education. Most of the adolescents' fathers (32.85%) were business
people. Most of the adolescents' mothers are housewives (73.57%). Most (51.42%)
of the adolescents' families' monthly income was less than $10,000. The
majority of adolescents (68.57%) belonged to the nuclear family. Most
adolescents (77.14%) were staying in urban areas.
Assessment of the level
of helping attitude among adolescents- Assessment of levels of helping attitude
among adolescents reveals that most adolescents (52.14%) had a high helping
attitude, the remaining 47.85% had a moderate helping attitude, and no
adolescent had a low helping attitude (Table 1).
Table
1:
Levels of helping attitude among adolescents
Levels of helping attitude |
No of respondents |
Percentage (%) |
Low
helping attitude |
0 |
0 |
Moderate
helping attitude |
67 |
47.85 |
High
helping attitude |
73 |
52.14 |
Association between level of helping
attitude and socio-demographic variables of adolescence-
The mean, SD, and mean percentage of helping attitude scores of adolescents
reveal that the total mean percentage of helping attitude scores of adolescents
was 79.57%, with a mean and SD of 79.5714 8.46 (Table 2).
Table 2: Area-wise mean, SD and mean percentage of helping
attitude score
Area |
Maximum
score |
Minimum
score |
Mean |
S.
D |
Mean
(%) |
Helping
attitude |
100 |
20 |
79.57 |
8.46 |
79.57 |
Table 3: Level of happiness among adolescent
Level
of happiness |
No
of respondents |
Percentage
(%) |
Low |
0 |
0 |
Moderate |
78 |
55.71 |
High |
62 |
44.28 |
Assessment of happiness among adolescents
reveals that the majority (55.71%) had moderate happiness, 44.28% had high
happiness, and none had low happiness. The mean, standard deviation and median
percentage of young people's happiness scores show that overall happiness is
72.09%, and the mean and standard deviation are 20.185 3.83 (Fig. 1).
Fig. 1:
Happiness scoring among adolescents in this study
The data presented in Table 4 examines the
relationship between the levels of happiness among adolescents and several
socio-demographic variables, utilizing the chi-square test to determine the
significance of these associations. Firstly, the analysis of age indicated no
statistically significant association with happiness levels (χ2=1.6,
df=4, p=0.80, NS). However, a notable finding emerged regarding the variable of
sex, revealing a significant association with happiness levels (χ2=13.26,
df=4, p=0.01, S), suggesting that levels of happiness differ between genders.
Conversely, no significant associations were found in the case of religion
(χ2=3.5, df=6, p=0.744, NS), year of study (χ2=0.45,
df=4, p=0.97, NS), father's educational status (χ2=0.5, df=6,
p=0.99, NS), mother's educational status (χ2=6.36, df=6,
p=0.38, NS), father's occupation (χ2=8.53, df=8, p=0.38, NS),
mother's occupation (χ2=6.72, df=8, p=0.5671, NS), monthly
income of the family (χ2=0.41, df=4, p=0.98, NS), area of
residence (χ2=0.02, df=2, p=0.99, NS), and type of family
(χ2=1.2, df=4, p=0.87, NS).
Table 4: Association of
the levels of happiness of adolescents with their selected socio-demographic
variables
Socio-demographic variables |
Df |
Chi-square value |
Table Value |
Level of significance |
Age |
4 |
1.6 |
0.80 |
p>0.05* |
Sex |
4 |
13.26 |
0.01 |
p<0.05** |
Religion |
6 |
3.5 |
0.74 |
p>0.05* |
Year
of Study |
4 |
0.45 |
0.97 |
p>0.05* |
Father
s educational status |
6 |
0.5 |
0.99 |
p>0.05* |
Mother
s educational status |
6 |
6.36 |
0.38 |
p>0.05* |
Father
s occupation |
8 |
8.53 |
0.38 |
p>0.05* |
Mother
s occupation |
8 |
6.72 |
0.56 |
p>0.05* |
Monthly
income of family |
4 |
0.41 |
0.98 |
p>0.05* |
Area
of Residence |
2 |
0.02 |
0.99 |
p>0.05* |
Type
of family |
4 |
1.2 |
0.87 |
p>0.05* |
Df=degrees of freedom; *All the values are
statistically non-significant; **All the values are statistically significant
Research
results on the relationship between young people's helping behaviour and their
choices among different people in society show a relationship between their
helping behaviour and gender (χ2=0.01; p<0.05). This study
is based on a study conducted by Jan Hafsah
at Ganderbal Degree College to determine the relationship between helping
behaviour and happiness among young people in professional and non-professional
universities. They found that professional or non-professional women had better
help behaviour, significantly impacting young people's helping behaviour [14].
No
significant relationship was found between youth health and other
variables. This study's results are inconsistent with Siamian et al. [15].
Assessing
the health of Vietnamese youth. The results showed a significant
relationship between happiness and cultural factors such as years of education,
parents' intentions, family income and religious background. When young people's happiness is
evaluated, it is seen that most young people (55.71%) are somewhat happy,
44.28% are somewhat happy, and no one is very happy. The results of this study
are based on research conducted by Parmar Kamalesh and Vyas Rudresh to measure
the happiness of young people in the Narmada district of Gujarat. The results
showed that most girls were very happy [16].
In the sample distribution according to
the mother's occupation, it is seen that 73.57% of the mothers are homemakers,
4.28% are cooperative workers, 2.85% are farmers, 6.42% are entrepreneurs, and
7.85% are entrepreneurs. Work. These are private sector employees, and 5 per
cent are government employees. The findings of this study are consistent with
those of Anjitha and Malagi Varsha on the helping behaviour of nurses in
Trivandrum, Calicut and public and private hospitals in the India-Kasaragod
district of Kerala. The results showed that 10% of auxiliary nurses in public
hospitals had a low helping attitude, 3% had a bad attitude, and 87% had a high
helping attitude. The support level of nurses in private hospitals: 3% had a
negative attitude towards helping, 0% had a bad attitude towards helping, and
97% had a highly characteristic helpful attitude [17]. Assessment of
levels of helping attitude competence among adolescents reveals that most
adolescents (52.14%) had good helping attitude competence, the remaining 47.85%
had average helping attitude competence, and no adolescent had poor helping
attitude competence.
The present study's findings are
consistent with the study conducted by Lambakashish,
Dr Nitika Kumar, to assess the helping attitude among young and
middle-aged adults. The results showed that most older people reported a higher
happiness score than young adults, with a better attitude and competence [18-20].
CONCLUSIONS- In conclusion, the study's main findings indicated that a
substantial proportion of adolescents in the surveyed high schools demonstrated
high and moderate levels of helping attitudes. Additionally, the majority of
adolescents reported moderate to high levels of happiness. This study shows
that the youngest people have a positive attitude and make themselves happy by
helping others. Participation in good behaviour is the
participation of the person being helped and the person helping others.
This study shows that engaging in
behaviour can improve health and life satisfaction. It is important to educate
students on developing beneficial behaviours.
CONTRIBUTION OF AUTHORS
Research
concept: Prof. Jayashree Itti
Research design: Prof. Jayashree Itti
Supervision: Mrs. Poornima Meti
Materials: Ms. Prema Lamani
Data collection: Ms. Bhagya Biradar,
Data analysis and interpretation: Ms. Bhagya Biradar, Mr. Hanamanagouda Patil
Literature search: Ms. Rutu Bondade
Writing article: Ms. Rutu Bondade, Ms. Bhagya Biradar
Critical review: Mrs. Poornima Meti
Article editing: Mrs. Poornima Meti
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