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ABSTRACT
This paper makes an attempt
to investigate determinants of the physical problems
of the elderly population in Bangladesh by examining
the situation prevailing in one particular area
at Adamdigi of Bogra district, using the information
from 400 elderly populations of aged 60 and over.
Findings reveal that the physical health status
of the elderly is not so fair, with the majority
of them suffering from eye diseases followed by
back pain, heart diseases, kasi, diabetes, dysentery,
high blood pressure, hapani and paralysis. It
was also observed that the major portion of the
elderly population received allopathic and homeopathic
treatment (97%) and only a few of them received
kobiraji treatment (3%). From contingency analysis
it was found that age is significantly associated
with eye vision, hearing ability, physical fitness,
and present job, working ability, main food and
use of latrine. The logistic regression model
unveils that rural elders were more than 2 times
more likely to suffer from physical problems compared
to those elderly living in urban areas. The other
contributing factors found to affect the physical
problems of the elderly were education, family
type, problems in using latrines, old age, salary
and any bad habits of the elderly population.
Key words: Elderly
population, physical health status, nature of
treatment, Adamdigi thana and logistic regression
analysis.
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INTRODUCTION
Aging of population is gradually
emerging as an issue in Bangladesh. It is a formidable
problem of rural Bangladesh as well as a national problem
(Abedin S, 1994). It has many socio economic effects
on national development. In the demographic context
and view of age structure, aged people are considered
as a dependent portion of manpower (Amin and Sajeda,
1998). Health is a major concern of old age. The overall
level of health of older persons in Bangladesh is not
so good. They are prone to age related diseases. In
old age the elderly are found to suffer from diseases
like arthritis, back pain, high blood pressure, diabetes,
asthma, peptic ulcer and so on. Prevalence of malnutrition,
eyesight problems, hearing problems and mental disorders
among the old are also observed (Kabir M and Humayun,
1993). The health problems in old age are often compounded
by attributing ailment to onset of old age. Every elderly
population has the right to lead a healthy, active life
with minimal suffering. For this they need clothing,
housing facilities, medical and social care. Many of
the health problems can be overcome or delayed by changing
their lifestyle (Sattar MA, 1996). This thesis aims
to investigate the determinants of physical problems
of elders in Bangladesh by examining the situation prevailing
in one particular area at Adamdigi thana of Bogra district.
MATERIALS
AND METHODS
The data were collected from
a field survey conducted at Adamdigi thana in the district
of Bogra in Bangladesh. These data were collected from
both, rural and urban areas of Adamdigi thana. Information
was collected of 400 elderly (Population aged 60 and
over) by interview method, 200 of them were taken from
rural areas and 200 from the urban areas respectively.
Respondents were selected by purposive sampling method.
For rural areas we have selected three villages under
Adamdigi thana , and for urban areas we have selected
3 wards under Adamdigi thana. Data analytic methods
envisaged in this paper are percentage distribution
and logistic regression analysis.
RESULTS
Deterioration of one's physical
well-being is a natural part of aging. From Table 1
we see that among all the major health problems faced
by the elderly population a major portion of them suffered
from eye diseases (19.7%) followed by back pain (16.3%),
heart diseases (12.7%), kasi (11.0%), others (7.0%),
diabetes (9.7%), dysentery (6.7%), high pressure (6.0%),
hapani (6.0%) and paralysis (5.0%). Therefore, the present
study reveals that health conditions of the elderly
are not fair.
Table
1 Percentage distribution of respondent's diseases
| Diseases |
Percent |
| Pain
back |
16.3 |
| Dysentery |
6.7 |
| Diabetes |
9.7 |
| High
pressure |
6.0 |
| Hapani |
6.0 |
| Eye
problem |
19.7 |
| Heart
disease |
12.7 |
| Paralysis |
5.0 |
| Kasi |
11.0 |
| Others |
7.0 |
Medical services are limited
in Bangladesh and create greater problems for the elderly.
As a part of a vulnerable group, the older population
has a greater need for, but less access to, health care.
The medical facilities are not adequate to meet the
health care requirements of 129 million people, let
alone the 7.8 million elderly.
Table
2 Percentage distribution of respondent's treatment
| Treatment |
Percent |
| Allopathic |
82.7 |
| Homeopathic |
14.3 |
| Kobiraj |
3.0 |
From
Table 2 it is observed that majority of the elderly
received Allopathic treatment (82.7%) and only a few
received kobiraji treatment (3.0%).
Table
3 contains the results of contingency analysis. From
this Table it can be seen that elder's educational qualification
is statistically significantly associated with occupation,
type of latrine, house type, family type, habit, income,
expenditure and treatments. Thus, from a statistical
point of view, the above socio-economic variables collected
from the elderly are greatly influenced by education.
The degree of association between education and occupation
ishigher. It is true that education is the only single
most predominant variable, which has an inhibiting effect
on the above variables. But education has a statistically
insignificant effect on children ever born. Hence the
degree of association with education and this variable
is poor. With respect to the age of elderly, age is
significantly associated with eye vision, hearing ability,
physical fitness, present job, working ability, main
food and use of latrine but insignificantly associated
with talking ability, digestion, and sleep. From Table
3 we see that major diseases are statistically significantly
associated with health status of the elderly. The significant
health states such as eye vision and physical fitness
are highly significant with disease. So we conclude
that, health status of the elderly is mostly influenced
by disease.
Table
3 Results of contingency analysis with degrees
of freedom and significant level
|
Attribute |
Value of
X2 |
d.f |
Tabulated
X2 |
Asymp.
Sig. (2-sided) |
Sig.
of association at 5% level |
| Education
Vs Occupation |
11.41 |
4 |
9.49 |
0.022 |
Significant |
| Education
Vs House type |
10.889 |
1 |
3.84 |
0.001 |
Significant |
| Education
Vs Latrine |
13.896 |
3 |
7.89 |
0.003 |
Significant |
| Education
Vs Family type |
8.187 |
1 |
3.84 |
0.004 |
Significant |
| Education
Vs Habits |
24.615 |
4 |
9.49 |
0.000 |
Significant |
| Education
Vs Children |
0.956 |
2 |
5.99 |
0.620 |
Insignificant |
| Education
Vs Monthly income |
12.197 |
1 |
7.89 |
0.007 |
Significant |
| Education
Vs Monthly spend |
12.114 |
1 |
7.89 |
0.007 |
Significant |
| Education
Vs Treatment |
35.789 |
2 |
5.99 |
0.000 |
Significant |
| Age
group Vs Habit |
12.136 |
8 |
15.51 |
0.145 |
Insignificant |
| Age
group Vs Children |
10.207 |
4 |
9.49 |
0.037 |
Significant |
| Age
group Vs Eye vision |
13.682 |
4 |
9.49 |
0.008 |
Significant |
| AG
Vs Hearing ability |
11.409 |
4 |
9.49 |
0.022 |
Significant |
| AG
Vs Talking ability |
2.265 |
4 |
9.49 |
0.687 |
Insignificant |
|
AG
Vs Physical fitness |
13.165 |
4 |
9.49 |
0.010 |
Significant |
| AG
Vs Sleep |
5.163 |
4 |
9.49 |
0.271 |
Insignificant |
|
AG
Vs Digestion |
4.949 |
4 |
9.49 |
0.293 |
Insignificant |
| Age
Vs Present job |
63.568 |
10 |
18.31 |
0.000 |
Significant |
| Age
Vs Working |
49.684 |
2 |
5.99 |
0.000 |
Significant |
| Age
Vs Main food |
11.873 |
2 |
5.99 |
0.003 |
Significant |
| Age
Vs Use Latrine |
24.104 |
2 |
5.99 |
0.000 |
Significant |
| Disease
Vs Eye vision |
90.253 |
18 |
28.87 |
0.000 |
Significant |
| Disease
Vs Hearing ability |
36.325 |
18 |
28.87 |
0.006 |
Significant |
| Disease
Vs Taking ability |
36.489 |
18 |
28.87 |
0.007 |
Significant |
| Disease
Vs Physical Fitness |
53.345 |
18 |
28.87 |
0.000 |
Significant |
| Disease
Vs Sleep |
16.656 |
18 |
28.87 |
0.547 |
Insignificant |
| Disease
Vs Digestion |
27.321 |
18 |
28.87 |
0.073 |
Insignificant |
Note : At
5% level of significance, if the Asymp. Sig (2-sided)
value is less than 0.05 then the test of association
is significant, otherwise insignificant.
Table-4 shows the factors associated
with the determinants of physical problems of the elderly
population. Six variables were found to influence the
physical problems of the elderly. It can be seen from
Table 4 that elders who were literate were 0.963 times
less likely to be affected by physical problems than
illiterate persons. Elders who lived in family units
were1.605 times more likely to suffer from physical
problems compared to those elderly who lived in joint
families. The table also reveals that rural elders were
2.253 times more likely to suffer from physical problems
than their urban counterparts. With regard to occupation,
elders who have business were 0.489 times less likely
to have any physical problems than those elders who
were engaged in service and elders who have agricultural
occupations and who were day labourers were 0.698 and
0.385 times less likely to have any kind of physical
problem than the service holder elderly population.
Table
4 Results of logistic regression analysis according
to physical problem of aging people by selected characteristics.
| Characteristics |
Co-efficient
( ) |
S.E. |
Odds
Ratio Exp ( ) |
Educational
status
Illiterate (Ref)
Literate |
--
-.038 |
--
.621 |
1.000
0.963** |
Family
Type
Joint (Ref)
Unit |
--
.473 |
--
.527 |
1.000
1.605*** |
Place
of residence
Urban (Ref)
Rural |
--
0.968 |
--
0.253 |
1.000
2.253***
|
|
Occupation
Service (Ref)
Business
Agriculture
Day labor
Others
|
--
-.715
-.360
-.955
7.226 |
--
1.159
1.164
1.092
44.301 |
1.000
.489
.698
.385
1.17 |
Electricity
facility
No (Ref)
Yes |
--
.144 |
--
.523 |
1.000
1.155 |
Problem to use Latrine
No (Ref)
Yes |
--
-1.536 |
--
.649 |
1.000
0.215* |
Old
age salary
No (Ref)
Yes |
--
-7.455 |
--
26.305 |
1.000
.001*** |
Any
bad habit
Yes (Ref)
No |
--
.078 |
--
.494 |
1.000
0.925** |
DISCUSSION
The study revealed that health
conditions of elderly are not so good. Among all the
major health problems faced by the elderly population
a major portion of them were suffering from eye diseases
followed by back pain, heart diseases, kasi, diabetes,
dysentery, high blood pressure, hapani and paralysis.
In Bangladesh the medical facilities are not adequate
to meet the health care requirements of 129 million
people, let alone the 7.8 million elderly. It is observed
from our study that a major portion of the elderly received
allopathic treatment and only a few of them received
kobiraji treatment and since most of the kabiraji treatment
has no appropriate training to identify diseases but
still serving as a good doctor in Bangladesh, as a result,
very often valuable lives are lost by receiving such
kinds of treatment. In contingency analysis we have
found a significant association between education and
some other socio-economic variables, such as education
with occupation, type of latrine, house type, family
type, habits, income, expenditure and treatments. Thus,
from a statistical point of view, the above socio-economic
variables collected from the elderly are greatly influenced
by education. With respect to the age of elderly, age
is significantly associated with eye vision, hearing
ability, physical fitness, present job, working ability,
main food and use of latrine; also the health status
of the elderly in such areas as eye vision and physical
fitness, are highly significant with disease. So we
conclude that, the health status of the elderly population
is mostly influenced by disease. The logistic regression
model unveils that elders who lived in a family unit
were one and half times more likely to suffer from physical
problems compared to those elderly lived in joint families.
It was also found that rural elders were suffering more
from various kinds of physical problems than their counterparts
in urban areas. This is likely to be attributed to unavailability
of healthcare facilities in rural areas. Moreover, in
Bangladesh, especially in rural areas, there is a problem
of communication and transportation, which involves
both, time and cost (Ahmed et al., 1998). Education
of the respondents shows strong positive association
with physical problems of the elder population. The
educated elders are usually more conscious about their
health and thereby seek assistance from health professionals.
The other contributing factors found to affect the physical
health status of the elderly were family type, problems
in using latrines, old age, salary and any kinds of
bad habits of the elder population.
The overall scenario of the
health status of the geriatric population is not satisfactory.
Still much work has to be done in this arena to improve
health status of the elders. In the light of the above
discussions, the following recommendations are made:
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The traditional joint family system should be strengthened
in order to provide basic needs and psychosocial support
to the elderly.
- The government should take
necessary steps to enhance the care-giving capacity
of family where appropriate.
- The government should take
necessary steps for the welfare of the aged by undertaking
mass education programs and awakening the people about
the duty towards people.
- Government should give economic
security (like pension, medical allowance, recreational
facility etc.) for geriatrics.
- Government, NGOs and all
other organizations have to build care homes and have
available recreational facilities there for elders.
- Access to treatment facilities
should be available and cheap for elders and special
emphasis on care of geriatrics should be taken in
health centers, medical colleges, and community clinics
in both rural and urban areas.
REFERENCES
Abedin S (1994). The demographic aspects
of aging in South Asia with special reference to Bangladesh:
Trends and implication. Paper Present at the conference
of CMIG, Calcutta.
Ahmed, S., Sobhan, F. & Islam, A. (1998)
Neonatal morbidity and care-seeking behaviour in rural
areas in Bangladesh. Operational Research Project- Health
and Population Extension Division. Working Paper No.
148. Dhaka: International Center for Diarrhoeal Diseases
Research, Bangladesh.
Amin A (1998). Family structure and change
in rural Bangladesh. Population Studies, vol. 8 No.
3.
Kabir and Humayan (1993). Local level of
policy development to deal with the consequences of
population aging in Bangladesh. ESCAP, UN New York,
Asian Population Studies Center.
Sattar MA (1996). Aging population
of Bangladesh and its policy implication in an overview.
The elderly in Bangladesh and India. Department of Statistics,
University of Rajshahi, Bangladesh.
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