Stress, Obesity and Selected Health
Problems among Professionals
Mr. Anilkumar B. Jarali*, Dr. G. Radhakrishnan
P.D. Bharatesh College of
Nursing, Halaga, Belgaum, Karnataka.
*Corresponding Author Email: anilkumar2586.bgm@gmail.com
ABSTRACT:
In
medical terms stress is described as, "a
physical or psychological stimulus that can produce mental tension or
physiological reactions that may lead to illness". But there is not
always necessary to say that stress in harmful as Hans Selye
says, "stress is not necessarily
something bad it all depends on how person take it. The stress of
exhilarating, creative successful work is beneficial, while that of failure,
humiliation or infection is detrimental." Stress can be therefore
negative, positive or neutral.
Objectives: To assess the level of stress as measured by David
Fontanas Professional Life Stress Scale and to assess the obesity and other
selected health problems among professionals.
Method:
In order to achieve the objectives of
the study, a correlative non-experimental design with
purposive, snow-ball sampling technique was used in this study. Samples of 300
professionals (Nursing-75, Banking-75, Teaching-75 and Pharmacy-75) were selected
from different organizations, institutions and hospitals of Belgaum city. A
self administered questionnaire was used for data collection.
Result: The findings revealed that majority (76.3%) of
professionals had mild level of stress. The mean score was 23.86 + 6.24.
Result showed that majority
(70.3%) of professionals had a normal BMI. The mean score of obesity was 23.18 +
3.13. Findings also revealed that majority
(63%) of professionals had mild degree of selected health problems with mean
score was 74.73 + 20.15.
Findings of the study revealed that there is a
positive correlation between level of stress and selected health problems (r=
0.5495, p<0.001). There is a very low positive correlation between level of
obesity and selected health problems (r= 0.026) and there is a negative correlation
between level of stress and obesity (r= -0.026).
There
was significant association between the level of stress and monthly income, type of family, occupation of
family members, monthly family income, pattern of diet, years of experience at
work and habits. Findings revealed that
there was significant association between the level of obesity and age, sex, education, profession and years of
experience at work and monthly income had a significant association with
selected health problems.
KEYWORDS: Stress; Obesity; Health Problems; Professionals.
INTRODUCTION:
"Stress is not what
happens to us. It's our response to what
happens. And RESPONSE is something we can choose."
Anonymous
In medical terms stress is described as, "a physical or psychological stimulus
that can produce mental tension or physiological reactions that may lead to
illness". But there is not always necessary to say that stress in
harmful as Hans Selye says, "stress is not necessarily something bad it all depends on how
person take it. The stress of exhilarating, creative successful work is
beneficial, while that of failure, humiliation or infection is
detrimental." Stress can be therefore negative, positive or
neutral. 1
All human beings experience stress at one time or
another. Without stress, there would be no life. However, excessive or
prolonged stress can be harmful. Stress is unique and personal. Whenever body feels something not favorable, then it tries
to defend itself. If this situation continues for a long time, then the body is
working overtime.1
Stress may be caused by a number of factors
namely, stress at home, work and other. Causes
of stress at work are to meet out the demands of the job, relationship
with colleagues, to control staff, to train staff and take work from them,
support from boss, colleagues and juniors, excessive work pressure to meet out
deadlines etc3
Eat breakfast like a king, Lunch like an ordinary
person
And your dinner like
a beggar
Obesity is a medical
condition in which excess body fat has accumulated to the extent that it may have an adverse
effect on health, leading to reduced life expectancy and/or increased health problems. Body mass index (BMI), a measurement which compares weight and height, defines people as overweight
(pre-obese) if their BMI is between 25 kg/m2
and 30 kg/m2, and obese when it is greater than 30 kg/m2.
5
Overweight and obesity lead to serious
health consequences. Risk increases progressively as BMI increases. Raised body
mass index is a major risk factor for chronic diseases such as: Cardiovascular
disease, Musculoskeletal disorders especially osteoarthritis and some cancers
like endometrial, breast, and colon. 6
Several physical factors and emotional factors contribute to
weight gain and obesity. The body becomes stressed due to fatigue, which causes
levels of the hormone cortisol to be released at
higher levels than normal. Elevated
levels of cortisol encourage overeating, which leads
to weight gain. Lack of sleep leads to decreased immune system function, which
leads to more frequent illness where the body uses more energy than normal to
heal itself. This further depletes energy and contributes to fatigue and stress
(Fig.1). 7
Need
for the study:
Stress Syndrome (SS) is a state of emotional
strain often brought on by overwork, prolonged study, emotional
pressure, or a host of other physiological or psychological factors. The
connection between stress and disease is a topic that is researched extensively in the scientific
literature. The human body is designed to handle temporary spikes of physical
and emotional stress, but how much, in what degree and for what length of
time it may affect human health varies from one person to another. 8
Evidence also suggests that stress is the major cause
of turnover in organizations. With continued stress at the workplace, workers
will develop psychological and physiological dysfunctions and decreased
motivation in excelling in their position. 9
On
the basis of research by the National Institute for Occupational Safety and
Health and many other organizations, it is widely believed that job stress
increases the risk for development of back and upper-extremity musculoskeletal disorders. High levels of
stress are associated with substantial increases in health service utilization.
Workers who report experiencing stress at work also show excessive health care
utilization.8
Stress
is very expensive and dangerous: it is recognized as the number one proxy
killer disease today. The American Medical Association has noted that stress
was the basic cause of more than 60% of all human illness and disease.
Every week, 95 million Americans suffer some kind of stress related symptoms
for which they take medication. 8
Before
the 20th century, obesity was rare; in 1997 the WHO formally recognized
obesity as a global epidemic. As of 2005 the WHO estimates that at least
400 million adults (9.8%) are obese, with higher rates among women than
men. The rate of obesity also increases with age at least up to 50 or
60 years old and severe obesity in the United States, Australia, and
Canada is increasing faster than the overall rate of obesity. 9
WHO latest projections indicate that globally in 2005:
approximately 1.6 billion adults (age 15+) were overweight; at least 400
million adults were obese. At least 20 million children under the age of 5
years are overweight and also projects that by 2015, approximately 2.3 billion
adults will be overweight and more than 700 million will be obese. 10
In
India Obesity has reached epidemic proportions in the
21st century, with morbid obesity affecting 5% of the country's
population and the influence of other developing countries lifestyle. With
considering to the data given by National Family Health Survey (NFHS, 2009), obesity is very common among both females and males.
As per the data Punjab holds the first place in percentage of obesity i.e.
30.3% males and 37.5% females are obese. Similarly states like Kerala, Goa,
Tamil Nadu, Andhra Pradesh and Maharashtra holds the 2, 3, 4, 5 and 9 ranks
respectively. It is also important to notice that Karnataka state holds 9th
and 12th rank among females and males in obesity respectively. 10
Statement of the problem:
A
correlative study on stress, obesity and other selected health problems among
professionals in Belgaum city, Karnataka.
Objectives of the study:
1. To assess the level of stress
among professionals as measured by David Fontanas Professional Life Stress
Scale.
2. To assess the obesity and
other selected health problems among professionals.
3. To correlate the stress,
obesity and other selected health problems among professionals.
4. To find out the association
between the level of stress, obesity and other selected health problems with
selected demographic variables of professionals.
Operational
definitions:
1.
Stress: In
this study stress refers to a physical, mental, or emotional response to events
that causes bodily or mental tension.
2.
Obesity: In this study obesity refers to a medical condition in
which excess body fat has accumulated to the extent that it may have an adverse
effect on health, leading to reduced life expectancy and/or increased
health problems which is measured by BMI.
3.
Selected health problems: In this study selected health problems refers to an
abnormal or physiologically unbalanced state of the body or Impairment of
normal physiological function affecting part or any system which includes sleep
problems, hypertension, diabetes mellitus and heart related problems.
4.
Professionals: In this study professional refers to a person who has obtained a degree
in a professional field of nursing, banking, teaching and pharmacy and working
under any settings of same profession.
·
Nursing: Who
completed B.Sc Nursing or M.Sc
Nursing or higher qualification in nursing field with due registration in the
council.
·
Banking: Who
completed Basic degree or above and undergone training to work in bank sector.
·
Teaching: Who
completed B.Ed or M.Ed or
with higher qualification.
·
Pharmacy: Who
completed B.Pharmacy or above with license to
practice.
Assumption:
The
researcher assume that
1.
Obesity is more
common in all age groups and due to changing patterns of life styles and a leading cause for health problems.
2.
Stress may cause
obesity and vice versa.
3.
Stress may also
leads to life threatening health problems.
4.
Stress is commonly
seen in the professionals because of work load and sedentary life style.
Delimitation:
1.
The sample size is
limited to 300 professionals.
·
Nusing professionals : 75
·
Banking professionals : 75
·
Teaching professionals : 75
·
Pharmacy professionals
: 75
2.
Prescribed data
collection is only 4-6 weeks.
3.
Study design is
limited to non experimental design.
REVIEW OF LITERATURE;
A
study was conducted on overweight, obesity and influence of stress on body
weight among undergraduate medical students at Midnapore
Medical College. A total of 114 medical students (70 male and 44 female) were
included in this study. The completed form was analyzed to obtain Perceived
Stress Score Index (PSSI). Results shown that out of 114 students, 70 were male
and 44 were female (M: F = 1.6:1) Out of 70 male students, 11 were overweight
and four were obese whereas out of 44 female students, 9 were found to be overweight
and none were obese. An overall prevalence of overweight was calculated to be
17.5%, prevalence of obesity was 3.4%. The study
suggests that regular exercise and taking care of stress precipitating factors
could improve the health of the medical students.11
A
study was under taken to assess the interaction of sleep quality and
psychosocial stress on obesity among residents of metropolitan Atlanta in
African Americans (AA). A sample of 1,515 AA, aged 30-65 years, was recruited
by a random digit-dialing method in 2007-08.
Among women, after multivariable adjustment that included age, gender,
physical activity, smoking status, education, total family income, financial
stress and history of hypertension, hypercholesterolemia, diabetes and
myocardial infarction, obesity was associated with sleep quality as assessed by
general sleep quality (GSQ). Among all participants, stress modified the
association between obesity and sleep quality; there was an increased
likelihood of obesity in the medium stress category, OR (95% C.I.): 1.09 (1.02
- 1.17). They concluded that Sleep quality was associated with obesity in
women. 12
Conceptual Framework:
METHODOLOGY:
Research approach and Research design:
A Non-Experimental Design and Correlative approach was used in the study.
Setting:
The
study was conducted in the Belgaum city where the subjects working under
different organizations, institutions and hospitals
Population:
The population of the
study was professionals of nursing, banking, teaching and pharmacy.
Independent Variable:
In this study the
independent variables are age, sex, and area of residence, religion,
educational, profession, working organization, and monthly income, and family
type, pattern of diet, professional experience and habits.
Dependent Variable:
Dependent variables in
this study are Level of Stress, Obesity and Selected Health Problems among
professionals.
Sample and Sampling
Size:
300 professionals were
selected from various professionals like: Nursing 75, Banking 75, Teaching
75 and Pharmacy 75 who fulfill the inclusion criteria.
Sampling Technique :
In this study non-probabilty, purposive and Snow-ball sampling technique was used.
Description of the
Tool:
The
tools were divided into three parts,
Part A: Demographic data consists of 14 items.
Part B: David Fontanas Professional Life Stress Scale to
assess the level of Stress.
Part C: Structured questionnaire to assess the other health problems
such as sleep problems, hypertension, and diabetes mellitus and heart related
problems which consists of 34 items
Ethical clearance:
Ethical clearance was obtained.
Reliability:
·
Reliability
was established from data of 30 samples by split half method.
·
The
reliability was found by using Karl Pearson correlation co-efficient
·
The
r value for The Professional Life Stress
Scale was found reliable (r =0.77)
·
The
r value of Structured Questionnaire to
assess the other selected health problems was also found reliable (r = 0.79).
·
Hence
the tool was highly reliable.
RESULTS:
Major findings of the study:
With
regard to their age majority (47.7%) of the professionals (Fig 3) were between
25-30 years(Fig 3). Considering the sex of
professionals majority (60.3%) were a males. Considering their areas of
residence majority (71.3%) of the professionals were belongs to urban area and
majority (63%) of the samples belongs to Hindu religion. Regarding the
educational status majority (73.7%) of the professionals was graduates and from
each profession (Nursing, Banking, Teaching and Pharmacy) (Fig 4) equal number
75 (25%) of samples have been selected for the study. While considering their
working organization majority (45.6%) of the professionals were belongs private
organization (Fig 5). Considering the monthly income majority (40.3%) was
between Rs. 5,001 10,000 per month and majority of the samples (56.3%) were
from nuclear family.
Considering
the occupation of family members majority (63%) was employed and their monthly
family income was 30.3% between Rs. 10,001 15,000 (Fig 6). With regards to
pattern of diet of professionals majority (56%) were vegetarian (Fig 7).
Majority of the professionals (52.4%) were having the experience of < 5
years at work. Considering the habits majority (94%) of the professionals had
habits.
Fig. 4: Percentage Distribution of Profession of
Professionals
Table 1. Mean and Standard Deviation of Level of Stress among the Professionals (overall), level of
obesity and health problems. (N=300)
|
Statistics |
Stress Score |
Level
of Obesity |
Health
Problems |
|
Mean score |
23.86 |
23.18 |
74.73 |
|
Standard deviation |
6.24 |
3.13 |
20.15 |
Above
table shows that the professionals had a mean score of 23.86 with standard deviation 6.24, the professionals
had a mean BMI of 23.18 with standard deviation of 3.13 and mean score (74.73) and standard deviation
(20.15) of Selected Health Problems
among Professionals.
Assessment
of level of stress among professionals:
Table 2. Distribution
of Level of Stress among Professionals (overall)
(N=300)
|
Sl. No. |
Category |
Score |
Frequency |
Percentage |
|
1. |
No
stress |
0
15 |
38 |
12.7 |
|
2. |
Mild |
16
30 |
229 |
76.3 |
|
3. |
Moderate |
31
45 |
33 |
11 |
|
4. |
Severe |
46
60 |
0 |
0 |
Table 2 describes that 229(76.3%) professionals were
having mild level of stress and 33(11%) of them had moderate
level of stress. (Fig. 8)
Table 3. Distribution of Level of Stress among Professionals (category wise)
(N=300)
|
Sl. No. |
Category |
Score |
Frequency |
Percentage |
|
NURSING (N = 75) |
||||
|
1. |
No
stress |
0
15 |
9 |
12 |
|
2. |
Mild |
16
30 |
56 |
74.7 |
|
3. |
Moderate |
31
45 |
10 |
13.3 |
|
4. |
Severe |
46
60 |
0 |
0 |
|
BANKING (N=75) |
||||
|
1. |
No
stress |
0
15 |
13 |
17.3 |
|
2. |
Mild |
16
30 |
56 |
74.7 |
|
3. |
Moderate |
31
45 |
6 |
8 |
|
4. |
Severe |
46
60 |
0 |
0 |
|
TEACHING (N=75) |
||||
|
1. |
No
stress |
0
15 |
5 |
6.7 |
|
2. |
Mild |
16
30 |
65 |
86.6 |
|
3. |
Moderate |
31
45 |
5 |
6.7 |
|
4. |
Severe |
46
60 |
0 |
0 |
|
PHARMACY (N=75) |
||||
|
1. |
No
stress |
0
15 |
11 |
14.7 |
|
2. |
Mild |
16
30 |
52 |
69.3 |
|
3. |
Moderate |
31
45 |
12 |
16 |
|
4. |
Severe |
46
60 |
0 |
0 |
Fig 9: Percentage
Distribution of Level of Stress
among of Professionals (category wise)
Assessment of Obesity among Professionals.
Table
5: Distribution of Obesity among
Professionals (overall) (N=300)
|
Sl. No. |
Category |
Score |
Frequency |
Percentage |
|
1. |
Normal |
18.5
25 |
211 |
70.3 |
|
2. |
Over
Weight |
25.1
30 |
87 |
29 |
|
3. |
Obese |
>
30.1 |
2 |
0.7 |
Table 5 shows the assessment of obesity and its
percentage. Majority of professionals are having normal (70.3%) BMI, 29% are overweight
and have a risk of becoming obese and 0.7% are obese.
(Fig. 10)
Fig.10 : Percentage
Distribution of Obesity among
Professionals (overall)
Table 6: Distribution of Obesity among Professionals (category wise).
(N=300)
|
Sl. No. |
Category |
Score |
Frequency |
Percentage |
|
|
NURSING
(N = 75) |
|||||
|
1. |
Normal |
18.5
25 |
69 |
92 |
|
|
2. |
Over
Weight |
25.1
30 |
4 |
5.3 |
|
|
3. |
Obese |
>
30.1 |
2 |
2.7 |
|
|
BANKING (N=75) |
|||||
|
1. |
Normal |
18.5
25 |
45 |
60 |
|
|
2. |
Over
Weight |
25.1
30 |
30 |
40 |
|
|
3. |
Obese |
>
30.1 |
0 |
0 |
|
|
TEACHING
(N=75) |
|||||
|
1. |
Normal |
18.5
25 |
57 |
76 |
|
|
2. |
Over
Weight |
25.1
30 |
18 |
24 |
|
|
3. |
Obese |
>
30.1 |
0 |
0 |
|
|
PHARMACY
(N=75) |
|||||
|
1. |
Normal |
18.5
25 |
40 |
53.3 |
|
|
2. |
Over
Weight |
25.1
30 |
35 |
46.7 |
|
|
3. |
Obese |
>
30.1 |
0 |
0 |
|
Fig 11: Percentage Distribution of Obesity among of Professionals (category wise)
Assessment of Selected Health Problems among Professionals.
Table 7: Distribution
of Selected Health Problems among
Professionals (overall) (N=300)
|
Sl. No. |
Category |
Score |
Frequency |
Percentage |
|
1. |
Normal |
0
40 |
0 |
0 |
|
2. |
Mild |
41
80 |
189 |
63 |
|
3. |
Moderate |
81
120 |
111 |
37 |
|
4. |
Severe |
121
- 160 |
0 |
0 |
Table 7 describes that 189(60%) professionals were
having mild degree of selected health problems and 111(37%) had moderate
degree of selected health problems. (Fig.22)
Fig.12 : Percentage Distribution of Selected Health Problems among Professionals
(overall)
Table 8: Distribution
of Selected Health Problems among
Professionals (category wise)
(N=300)
|
Sl. No. |
Category |
Score |
Frequency |
Percentage |
|
|
NURSING
(N= 75) |
|||||
|
1. |
Normal |
0
40 |
0 |
0 |
|
|
2. |
Mild |
41
80 |
59 |
78.7 |
|
|
3. |
Moderate |
81
120 |
16 |
21.3 |
|
|
4. |
Severe |
121
160 |
0 |
0 |
|
|
BANKING
(N=75) |
|||||
|
1. |
Normal |
0
40 |
0 |
0 |
|
|
2. |
Mild |
41
80 |
46 |
61 |
|
|
3. |
Moderate |
81
120 |
29 |
39 |
|
|
4. |
Severe |
121
160 |
0 |
0 |
|
|
TEACHING
(N=75) |
|||||
|
1. |
Normal |
0
40 |
0 |
0 |
|
|
2. |
Mild |
41
80 |
44 |
58.7 |
|
|
3. |
Moderate |
81
120 |
31 |
41.3 |
|
|
4. |
Severe |
121
160 |
0 |
0 |
|
|
PHARMACY
(N=75) |
|||||
|
1. |
Normal |
0
40 |
0 |
0 |
|
|
2. |
Mild |
41
80 |
40 |
53.3 |
|
|
3. |
Moderate |
81
120 |
35 |
46.7 |
|
|
4. |
Severe |
121
160 |
0 |
0 |
|
Fig 13:
Percentage Distribution of Selected Health Problems among Professionals (category wise)
Table 9: An
Overall Comparison of Mean Score of Stress, Obesity and Selected Health
Problems among Professionals (Category wise) (N=300)
|
Category |
Stress |
obesity |
Selected
Health Problems |
|
Nursing |
24.4 |
21.72 |
70.23 |
|
Banking |
22.69 |
24.32 |
72.59 |
|
Teaching |
23.98 |
22.6 |
78.7 |
|
Pharmacy |
24.36 |
24.07 |
77.39 |
Table 9 denotes that professionals of
teaching and pharmacy have equal stress score and slightly higher than nursing
and banking professionals. Obesity score of banking and pharmacy professionals
are higher than nurses and teachers. Selected health problems are more among
teaching and pharmacy professionals comparing to nursing professionals.
(Fig.14)
Correlation between Level of Stress,
Obesity and Selected Health Problems among Professionals:
Table
10: Correlation co-efficient between level
of stress, obesity and selected health problems
(N=300)
|
Variables |
Level of stress (r) |
Level of obesity (r) |
Selected health problems (r) |
|
Level of stress |
1 |
-0.026 |
0.5495*** |
|
Level of obesity |
-0.026 |
1 |
0.026 |
|
Selected health problems |
0.5495*** |
0.026 |
1 |
*** Indicates
highly significant at p<0.001
Table 10
denotes that there is a positive correlation between level of stress and
selected health problems (r= 0.5495). There is a very low positive correlation
between level of obesity and selected health problems (r= 0.026) and there is a
negative correlation between level of stress and obesity (r= -0.026).
Diagram showing the Correlation of Stress and
Health Problems
ociation between the Level of Stress and Selected
Demographic Variables of Professionals:
There is no association between level of stress and
demographic variables such as age, sex, area of residence, religion, education,
profession, working organization and occupation of family members. But monthly
income, type of family, occupation of family members, monthly family income,
pattern of diet, years of experience at work and habits has significant
association with level of stress.
Association between
the Obesity and Selected Demographic Variables of Professionals:
There is no association between obesity and
demographic variables such as area of residence, religion, working
organization, monthly income, type of family, occupation of family members,
monthly family income, pattern of diet and habits. But age, sex, education,
profession and years of experience at work has significant association with
obesity.
Association between the Selected Health Problems and Selected Demographic Variables of
Professionals:
There is no association between selected health
problems and demographic variables such as age, sex, area of residence,
religion, education, profession, working organization, type of family,
occupation of family members, monthly family income, years of experience at
work, pattern of diet and habits. But monthly income has significant
association with selected health problems.
Implications
for Nursing Education:
The present study emphasizes on stress, obesity and
health problems among professionals, which encourage the health team member to
educate and guide the professionals, seek appropriate health care. In order to
achieve this, the Diploma, Degree & Master Degree curriculum should include
topics on stress, obesity and health problems, its affects on day today routine
of an individual in a daily life.
The student nurses from School of Nursing and
College of Nursing should be encouraged to attend specialized courses and
seminars regarding stress, obesity and health problems, and its affects on physical, psychological and social life of an
individual.
Nursing schools, colleges and teachers should come
forward and encourage the students to provide information on stress, obesity
and health problems with the help of audio visual aids.
Implications for Nursing Practice:
Nurses are key persons in the health care team, they
play a major role in health promotion and maintenance in the clinical as well
as in community setup; it is a practicing profession, hence, the researchers
generally integrate findings into practice.
Nurses can provide information about the stress,
obesity and health problems, its causes, effect of yoga and exercise on stress,
obesity and health problems and treatment modalities available and help them to
cope with the condition which will help in improvement of knowledge for both
nurses and professionals in hospital and in community area.
Implications for Nursing Administration:
The
study assists the nursing administrative authorities to initiate and carry out
health education program in health care settings which includes clinical and
community by utilizing advanced technologies.
Professional
interaction between the nurses and the public will help to improve professional
standards and creates better image in the community.
·
Teaching program
can be given to hospital people using various channels of communication
regarding stress, obesity and health
problems and how they are interrelated.
·
Specialized
teaching package in specific topic create interest among public and serves as
reference material.
Implications for Nursing Research:
·
The study helps
the investigator to develop insight regarding stress, obesity and health problems among professionals.
·
This study will
serve as a valuable reference material for future investigators.
·
In-depth research
studies can be conducted by including all the three domains i.e. knowledge,
attitude and practice.
RECOMMENDATIONS
·
A similar study
can be under taken on large scale.
·
A comparative
study may be conducted among different professionals.
·
An experimental
study may be conducted on effect of yoga, exercise on reducing stress, obesity
and health problems.
·
A descriptive
study may be conducted on knowledge on life style modifications to reduce
stress, obesity and its related health problems.
CONCLUSIONS OF STUDY:
On
the basis of the findings, the investigator concluded that the professionals
will have mild level of stress and selected health problems
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Received on 27.02.2013 Modified
on 22.04.2013
Accepted on 01.05.2013
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Asian J. Nur. Edu. and Research 3(3): July-Sept.,
2013; Page 154-163