| Ferbuary
2008 - Volume 2, Issue 1
PREGNANCY WASTAGE AMONG
MERRIED WOMEN IN RURAL RAJSHAHI, BANGLADESH
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1. Md. Mahfuzar Rahman
Research Fellow
E-mail: rahmanru_pops@yahoo.com
2. Md. Atikur Rahman Khan
Assistant Professor
3. Md. Nazrul Islam Mondal
Assistant Professor
E-mail: nazrul_ru@yahoo.com
Department of Population Science & Human Resource
Development
University of Rajshahi-6205, Bangladesh.
Correspondence to:
Md. Mahfuzar Rahman
Research Fellow
Department of Population Science & Human Resource
Development
University of Rajshahi-6205, Bangladesh.
E-mail: rahmanru_pops@yahoo.com
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| ABSTRACT
The aim of this paper is to
identify the impact of some selected variables on the
extent of pregnancy wastage in rural areas of Rajshahi
district, Bangladesh through the well known statistical
tools like logistic regression model. The information
from 750 mothers within the reproductive span (15-49
years) was collected through purposive sampling technique.
The study showed that the proportion of pregnancy wastage
to live births in two extreme age groups (below 20 and
above 40) is tremendously ruthless whereas in other
age groups, this is relatively compassionate. About
half of the respondents (50.4%) of the study areas had
medium reproductive knowledge while the reproductive
knowledge average is 0.45. The logistic regression analysis
shows that family planning, reproductive knowledge rating
and number of living children have highly significant
(statistically) effect on pregnancy wastage among ever-married
women of rural areas whereas the respondent's education
shows less significant effect.
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Key words: Pregnancy wastage,
Reproductive knowledge, Logistic regression analysis.
INTRODUCTION
Pregnancy wastage can be classified
as intra-uterine foetal death, abortion, and menstrual regulation
(Jeffcoate, 1975; and Shaw, Soutter and Stanton 2003). According
to Sir Norman Jeffcoate (1975), "pregnancy is the state
of female, which is produced due to the implantation of the
fertilized ovum in the uterine endometrium and ultimately
giving rise to a foetus; and pregnancy wastage is the loss
of product of conception normally or therapeutically".
In an average, duration of pregnancy accepted 280 days from
the first day of last menstruation.
Every year about eight million women
suffer from pregnancy related complications and over half
a million die. About 99% of these are in developing countries
(WHO, 2004). Most of these deaths can be averted even where
resources are limited. The poor reproductive health of women,
in third world countries, is an outcome of the general neglect
of health and nutrition in childhood and adolescence, which
affects their future well being (De Silva, 1998). Using the
information from 2967 mothers from Rajshahi District within
the reproductive span (15-49 years), Khan et al. (2007), found
that the proportion of pregnancy wastage to live births in
two ages of reproductive years is tremendously 'dodgy' whereas
in other age groups, between 20 and 35, these are comparatively
benign. Further, 6717 births were studied to investigate the
flow of caesarian deliveries over the ages. They also found
that 359 caesarian deliveries against 6,358 natural (vaginal)
deliveries.
Ardebili, et al., (1987) studied
the reproductive behavior of 1525 pregnant women at the time
of pregnancy termination in relation to maternal age, education,
prenatal care and number of previous pregnancies. The results
showed that the frequency of maternal attendance at prenatal
care centers was significantly related to maternal education
and that total pregnancies per woman is inversely correlated
with maternal education. Again, the highest percentage of
abortion was observed in (15-19) age group and the highest
number of natural deliveries was observed in the age group
(20-29). In 2002, Meharunnisa studied on 2104 gynaecological
patients, and out of them 240 cases were of abortion i.e.
11.4% was the prevalence of abortion. Most cases of abortion
occurred in women between the age groups of 26-35 years. The
commonest type of abortion was incomplete i.e. 30.4%. Prevalence
of repeated abortions was 29.1%. Most of these abortions occurred
at 8-12 weeks of gestation i.e. 50.8%. Apparent causes for
the abortion were most commonly the metabolic diseases i.e.
29.5% and the least common causes were the uterine malformations
i.e. 8.2%.
Abortion is the commonest complication
of the pregnancy, and is responsible for the maximum number
of pregnancy wastages (Rana et al., 1990). In Bangladesh,
the law prohibits induced abortion except when a woman's life
is endangered by her pregnancy. Nearly half of admissions
to gynecology units of major hospitals in Bangladesh involve
abortion-related complications (Measham, 1981). Risk factors
for pregnancy wastage in Bangladesh have not been studied
very extensively. This is in part because of the lack of reliable
data. It is difficult to obtain information on abortion from
clients, and service statistics are highly inaccurate.
Nonetheless, in this article, the
main aim and objective is to identify the impact of some selected
variables on the extent of pregnancy wastage in rural Rajshahi
by logistic regression analysis.
DATA AND METHODS
In the present research, the data
were collected from 750 women of reproductive ages (15-49
years) who lived in rural areas of Rajshahi district, Bangladesh.
We select Baksimoil Union of Mohonpur thana as a representative
part of rural Rajshahi. The respondents were directly contracted
and the desired information was collected successfully using
a pre-designed questionnaire through a purposive sampling
technique.
Various alternative statistical tools
exist for analyzing the effect of various background characteristics
on pregnancy wastage over time. In this study, the logistic
regression model is used to analysis the data because this
model is being used in many different areas and has become
the standard method of analyzing model in which the dependency
of a binary response variable is being tested on a number
of explanatory variables. The logistic regression model is
a curvilinear response function and this function assures
that the probability of occurrence of an event is always between
0 and 1. Hence the dependent variable used in the logistic
regression model is as follows.
Y=1, if the women had at least one
pregnancy wastage during their life and
=0, otherwise.
RESULTS AND DISCUSSION
To know the age specific flow
of pregnancy wastage, the proportions of pregnancy wastage
to mothers and to live births have been computed. The computed
values have been incorporated in Table 1 and to divulge the
age specific flow of pregnancy wastage, age specific line
graph has been constructed (Figure 1).
| Table 1.
Age specific flow of pregnancy wastage to mothers and
to live births |
| Age
group |
No.
of mothers |
Total
live birth |
Total
no. of pregnancy wastages |
Proportion of pregnancy wastage to mothers |
Proportion of pregnancy Wastage to live births |
| 15-19 |
93 |
48 |
2 |
0.0215 |
0.0417 |
| 20-24 |
167 |
193 |
5 |
0.0299 |
0.0260 |
| 25-29 |
175 |
326 |
10 |
0.0571 |
0.0307 |
| 30-34 |
147 |
353 |
5 |
0.0340 |
0.0142 |
| 35-39 |
96 |
263 |
4 |
0.0417 |
0.0152 |
| 40-44 |
61 |
184 |
7 |
0.1148 |
0.0473 |
| 45-49 |
11 |
36 |
- |
- |
- |
The study showed that the number
of pregnancy wastages in the age group 25-29 is 10 which is
highest among the women. The second highest is the women who
are of the age group 40-44. This usually happens in most rural
areas of Bangladesh because women of age group 25-29 are desired
for more children than the women of age below 29 and due to
the lack of proper awareness about the adverse effect of pregnancy
among the older ages women, pregnancy wastage occurs in age
group 40-44. But the proportion of pregnancy wastage to mothers
is very higher in the age group 40-44 than any other previous
age groups (Figure 1). At the same time, the proportion of
pregnancy wastage to live births is high in the age group15-19.
Thereafter, this proportion is slowly decreasing (considering
the smoothed pattern) over the ages but it again very rapidly
increases after the age group 35-39 (Figure 1).

Figure 1: Age specific flow
of pregnancy wastage to mothers and to live births.
Reproductive knowledge rating is
a system in which the respondents are scored (this rating
ranges between 0 and 1) uniformly on the basis of some variables
related to reproductive health. More than 50% (50.4%) of all
females (750) have reproductive knowledge scored in the group
(0.4-0.6) whereas the reproductive knowledge average is 0.45
(Table 2). So, from the study, it is clear that the reproductive
knowledge of the respondents, living in the study areas, is
not so good. However, fairly saying, about half of the respondents
bearing medium reproductive knowledge.
| Table 2. Respondents
by their Reproductive Knowledge Rating Groups |
| Reproductive knowledge
rating groups |
Number of respondents |
Percentage |
Average reproductive
knowledge |
| 0.0-0.2 |
83 |
11.1 |
|
| 0.2-0.4 |
164 |
20.9 |
|
| 0.4-0.6 |
378 |
50.4 |
0.45 |
| 0.6-0.8 |
70 |
9.3 |
|
| 0.8-1.0 |
55 |
7.3 |
|
| Total |
750 |
100.0 |
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Table 3 showed the logistic regression
estimate of odds ratios for the effects of selected background
characteristics of ever-married women of reproductive ages
on pregnancy wastage. Odds ratios are shown in place of regression
co-efficient for the easy interpretation of results. A statistically
significant odds ratio below 1.00 means a negative effect
while a statistically significant odds ratio above 1.00 means
a positive effect on the independent variable.
Table 3.
Logistic Regression Estimates of the Odds Ratio
Predicting that Rural Women had Pregnancy Wastages by
Some Background Characteristics |
| Background
characteristics |
Coefficient
( ) |
S. E.
of estimates |
Odds
ratio
|
| Age
at marriage: |
|
|
|
|
<18 years |
0.929 |
0.215 |
2.532 |
| 18+ years
(Ref.) |
- |
- |
1.000 |
| Family
planning: |
|
|
|
| No (Ref.) |
- |
- |
1.000 |
| Yes |
-2.158 |
0.526 |
0.116*** |
| Respondent’s
education: |
|
|
|
| Illiterate
|
0.637 |
0.623 |
1.891* |
| Literate
(Ref.) |
- |
- |
1.000 |
| Reproductive
knowledge rating: |
|
|
|
| < Average
(Ref.) |
- |
- |
1.000 |
Average |
-2.627 |
0.299 |
0.072*** |
| Number
of live children: |
|
|
|
| > 2
(Ref.) |
- |
- |
1.000 |
2 |
- 2.380 |
0.348 |
0.093*** |
Note: (Ref.)= Reference category
***, **, and * indicate p<0.001 (highly significant), p<0.01
(significant) and p<0.05(less significant) respectively.
The regression coefficient of women
corresponding to their mean age at marriage is calculated.
Since the legal age at marriage in Bangladesh is 18 years
for women, therefore, the age at marriage above 18 years is
considered as reference category. The odds ratio for women
whose age at marriage is <18 years is 2.532. This indicates
that the women of age at marriage <18 years have 2.532
times more likely to have higher pregnancy wastage than that
of the reference category.
Considering the women who did not
practice family planning, as a reference category, the regression
coefficient corresponding to women who practiced family planning
has been computed and the results are statistically significant.
The result indicates that the women, who currently used family
planning, have 0.116 times less pregnancy wastage than those
women who did not use (reference category).
In case of educational qualifications
of the respondents, the regression coefficient has been computed
by considering the literate women as a reference category
and the result is negative in sign and also showed the significant
effect on pregnancy wastage. The odds ratio corresponding
to the illiterate women is 1.891. It indicates that the illiterate
women have 1.891 times higher pregnancy wastage than the literate
women. This happens as because the illiterate women of the
study area are less aware about the adverse effect of pregnancy
wastage on their reproductive health.
As about half of the women of the
study area have medium reproductive knowledge, so, the women
who had average reproductive knowledge were considered in
this study as a reference category. The result showed that
the women, whose reproductive knowledge is average, have 0.072
times less pregnancy wastage than the women whose reproductive
knowledge below the average (reference category).
The couples are encouraged for 2
live children in Bangladesh during their life, therefore,
considering the women having >2 children as a reference
category, the regression coefficient is computed and the result
showed statistically significant effect on pregnancy wastage.
The odds ratio corresponding to women having children 2
is 0.093. This result clearly indicates that the women who
had less than or equal to two children, have 0.093 times less
pregnancy wastage than those women of the reference category
(who had more than two children).
CONCLUSION AND RECOMMENDATIONS
Risk of pregnancy wastage changes
with age. Increased age decreases the risk of pregnancy wastage.
However, in the extreme age groups pregnancy wastages are
observed substantially larger. The logistic regression analysis
shows the statistically significant effect of the selected
variables except age at marriage on pregnancy wastage.
Therefore, the effective policies and recommendations are
needed to create the awareness among mothers living not only
in the study areas but also other areas of Bangladesh.
i. Early marriage (before 18 years)
and teenage motherhood is a bleak reality behind the scrape
of female health hazards in Bangladesh. The women should be
aware of safe motherhood (no birth before 25 years) that may
be helpful to overcome the pregnancy related deficiencies
as well as to control the population growth to a large extent.
ii. The knowledge of women relating
to reproductive health should be increased through education,
information and communication campaigns among rural areas
so that the pregnancy wastage situation cannot be evaded easily.
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De Silva W.I. 1998.
Symptoms of Ill Health and Health Seeking Behavior of Sri
Lankan Mothers during the Puerperium: Asia Research Institute,
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Jeffcoate S.N. 1975.
Principles of Gynaecology, 4th ed., Butterworths World Student
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