Adolescents
and Their Timing of First Birth: Evidence from
Bangladesh Demographic and Health Survey-2004
.........................................................................................................................
Md. Nuruzzaman Haque (MS in Demography)
Assistant professor
Dept. of Population Science and Human Resource
Development
University of Rajshahi, Rajshahi-6205, Bangladesh.
Tel: +880-721-750041(Ext. 4121)
Fax: +880-721-750064
Mobile: +8801556621599
E-mail: nzaman_pop@yahoo.com
|
ABSTRACT
Purpose: Considering
the negative consequences of early first
childbirth in Bangladesh, in this study,
attempts have been made to estimate the
extent of early first birth (at adolescence)
and to find ever married adolescent women's
pattern of giving first childbirth (first
birth intervals since marriage). This
study also examines some selected covariates'
impact on timing of the first birth.
Process:
Using data from Bangladesh Demographic
and Health Survey (BDHS)-2004, for examining
some covariates' impacts on timing of
ever married adolescent women's first
birth, this study used the Cox proportional
hazard model.
Findings:
Estimates show that more than 53% of ever
married adolescent women had a first childbirth
in Bangladesh in 2004. The percentage
of ever married adolescent women who gave
birth is lower in urban areas than rural
areas. The estimated median length of
first birth intervals was 20 months at
national level, and those of first birth
intervals were 18 months and 20 months
at urban and rural areas respectively
in Bangladesh. Analysis shows that ever
married adolescent women who resided in
urban areas have shorter first birth intervals
than those ever married adolescent women
who resided in rural areas; and age at
marriage has statistically significant
impact on timing of first birth.
Conclusion:
Lengths of ever married adolescent women's
timing of first birth after marriage are
very short in Bangladesh. Chittagong division
and urban areas should pay more consideration
to lengthening duration between marriage
and first birth. Encouragement should
be given to newly married adolescent women
(also their husbands) to use contraceptives
which are relevant to spacing births.
Keywords: Adolescent, Bangladesh,
first birth.
|
Motherhood or first childbirth
is the most important event in women's life.
Timing of motherhood or age at first birth has
different effects on birth outcome, on the health
conditions of the mother herself and also on
her child's health. Early childbearing, for
example, first childbirth at adolescence (age
10-19 years), and first childbirth after adolescence
can be seen as having different effects1.
Comparing women who are older
than 19 years, adolescent (aged 10-19 years)
women are at greater risk for poor maternal
conditions and birth outcomes and also young
mothers are more likely to suffer pregnancy
related complications and to die in childbirth,
than women of age 20 years or more2. Women who
have their first child early in their life are
more likely to have more children than those
women who start childbearing later3. In Bangladesh,
early marriage and early pregnancy (at adolescence)
are common. Early pregnancy (in Bangladesh)
means early childbirth, because 90% of pregnancies
result in a live birth and the remaining 10%
result in miscarriage/abortion, stillbirth and/or
menstrual regulations (MRs) in Bangladesh4.
Mean age at first marriage for adolescent girls
and for women aged 10-49 years are 14.35 years
and 15.01 years respectively, and mean age at
first childbirth for married adolescent women
and for ever married women aged 10-49 are 15.68
years and 17.40 years respectively in Bangladesh
(own calculation using data from the Bangladesh
Demographic and Health Survey (BDHS-2004). Proportion
of adolescent women who are mothers or are currently
pregnant is the highest (about 35%) in Bangladesh
among the Asian countries5. According to data
of BDHS-2004, only 29.1% of 10-14 years ages
and 42.2% of 15-19 years ages of currently married
adolescent women (adolescents who are cohabiting
with their husbands) respectively, were using
any contraceptive method in Bangladesh.
In a society, like Bangladesh,
where childbearing is socially sanctioned after
marriage, the lengths of first birth interval
affect the complete family size6 and also infants'
and children's survival depends on their mothers
characteristics. First birth is considered as
one of the child survival risk categories (CSRC)4.
Women, whose first births were early (<18
years) are more likely to give 2nd birth within
very short birth intervals (less than 24 months)7.
Births at age less than 18 years and birth intervals
less than 24 months are also considered as one
of the CSRC, and child's risks of dying and
other health complications are further raised
for the child born to a mother who has a combination
of CSRC4. Complications related to pregnancy
and childbirth found the important cause of
death among girls aged 15-19 years in developing
countries, and early marriage for females and
early motherhood are very common in Bangladesh
compared to other south Asian countries8. But,
mothers aged 14 years and/or less than 14 years
face the greatest risks. Findings from one study
in Bangladesh by Chen Lincoln C. et al. concluded
that mothers aged 10-14 years may face the risk
of maternal mortality five times more compared
to mothers aged 20-24 years9.
Considering high incidence
of first birth at early ages and the negative
consequences of early first birth, in Bangladesh,
there is a need to unfold differentials in timing
of EMAW's first birth regarding various covariates
possessed by them. This study expects to estimate
the extent of early first birth and pattern
of giving first childbirth (since marriage)
by ever married adolescent women and then to
examine some selected covariates' impact on
timing of the event (first birth) of EMAW and
to mark the disparities in the event (first
birth) of EMAW with respect to socio-demo-cultural
characteristics (covariates) possessed by them.
All of which, stated above, may be helpful for
policy makers, program managers/ donor agencies
to make/support appropriate programs for the
well being of women (which is also advantageous
for infants' and children's good health) and
also for decreasing family size, in Bangladesh.
For analyzing fertility behavior
such as pattern of giving first birth, in the
society of Bangladesh, it is evident to consider
married women exposed to first birth after their
first marriage. In this study, ever married
adolescent women (EMAW) - married adolescents
including widowed, divorced and separated- are
included for analyzing their first childbirth
pattern from their marriage date to the end
of the study period. For analyzing time to the
event (first birth) of EMAW, data comes from
Bangladesh Demographic and Health Survey (BDHS)
- 2004. After excluding missing cases and pre-marital
first birth (only one in this study), 1,629
EMAW were included in the study. Among those
1,629 EMAW, 874 EMAW have faced the event of
first birth from their marriage date to the
end of study period (as of May 2004).
|
Table 1. Percent
distribution of ever married adolescent
women (EMAW) by age at first birth, according
to age at interview and place of residence,
Bangladesh, 2004. |
|
Age at interview |
Age
at first birth |
EMAW who had first birth |
Total no. of EMAW |
|
13 |
14 |
15 |
16 |
17 |
18 |
19 |
% (number) |
|
| 13 |
0.00 |
- |
- |
- |
- |
- |
- |
0.00 (0) |
36 |
| 14 |
2.00 |
6.00 |
- |
- |
- |
- |
- |
8.00 (8) |
100 |
| 15 |
2.03 |
18.78 |
11.16 |
- |
- |
- |
- |
31.97 (63) |
197 |
| 16 |
1.53 |
10.72 |
20.30 |
12.26 |
- |
- |
- |
44.82(117) |
261 |
| 17 |
3.24 |
8.84 |
17.99 |
19.17 |
9.43 |
- |
- |
58.70(199 |
339 |
| 18 |
0.93 |
9.93 |
15.21 |
14.59 |
12.42 |
9.93 |
- |
63.04(203) |
322 |
| 19 |
2.67 |
8.02 |
9.89 |
18.72 |
16.31 |
12.57 |
7.75 |
75.93(284) |
374 |
| Urban |
1.05 |
9.75 |
14.41 |
11.23 |
9.75 |
3.81 |
2.33 |
52.33(247) |
472 |
| Rural |
2.51 |
10.11 |
13.31 |
13.92 |
7.52 |
5.27 |
1.55 |
54.19(627) |
1157 |
| National |
2.09 |
9.64 |
13.63 |
13.14 |
8.16 |
4.85 |
1.78 |
53.65(874) |
1629 |
Note: - = not applicable, figures in parenthesis
indicate number of EMAW with first birth.
Source: Author’s
estimations based on Bangladesh Demographic and
Health Survey (BDHS)–2004.
Extent of early first birth in Bangladesh
For developing ing EMAW's (who have given childbirth)
profile with age and age at first birth, data
have been extracted from Bangladesh Demographic
and Health Survey- 2004. Among the ever married
adolescent women (EMAW) more than 53% of them
had a first childbirth in Bangladesh in 2004.
The percentage of EMAW who gave birth is lower
in urban areas than rural areas. Percent distribution
of EMAW with first birth is provided in Table
1. About 12% of EMAW of the study population
have given first birth in their early adolescence
(10-14 years) in Bangladesh. The percentages
of EMAW who gave birth were highest at the age
of 15 years, 16 years and 15 years for urban
areas, rural areas and national (Bangladesh
as a whole) respectively (Figure 1).

Pattern of first birth intervals
The pattern of first birth intervals (since
first marriage), according to residence, urban
or rural, with corresponding medians of intervals
are provided in Table 2. The estimated median
length of first birth intervals was 20 months
at national level, and those of first birth
interval were 18 months and 20 months at urban
and rural areas respectively in Bangladesh.
About 70% of urban EMAW and 63% of rural EMAW
gave their first birth within two years of their
marriage (Table 2 and Figure 2).

|
Table 2 Cumulative
proportions of ever married adolescent women
(EMAW) (who had a first birth) and the corresponding
median lengths of first birth (since first
marriage) by residence, Bangladesh, 2004. |
| First
birth intervals (months since first marriage) |
Urban |
Rural |
National |
6
12
18
24
30
36
42
48
54
59 |
0.004
0.243
0.506
0.696
0.826
0.903
0.960
0.988
1.000
1.000 |
0.014
0.230
0.455
0.635
0.796
0.893
0.943
0.974
0.987
1.000 |
0.011
0.233
0.469
0.652
0.804
0.896
0.951
0.978
0.991
1.000 |
| Median |
18 |
20 |
20 |
| Total |
247 |
627 |
874 |
Source: Author's estimations based
on BDHS-2004.
Statistical analysis
To explain why certain individuals are higher
or lower risks of experiencing one event of
interest than others, can be accomplished by
the method of Cox proportional hazard model.
The Cox proportional hazard model10 for censored
non-occurrence event /survival data specifying
time specific hazard rate or failure rate or
occurrence rate of the event as (t)
= 1im h
0 Pr(T< t + h| T> t)/h for non-occurrence
or survival time T of individuals with covariates
x1j, x2j,
,
xnj (e.g. binary, categorical or continuous
and these covariates may depend on time or not)
to have the following form
(t;
x) = 0(t)
exp (B1j X1j + B2X2j
+ ... ... ... ... ... ... + BnjXnj),
for t > 0 (1)
Where, B1j, B2j, ...
... ... ... ... ... ... ... ... , Bnj are non-standardized
regression coefficients, j represents the number
of groups or categories of the respective covariate, 0(t)
is the baseline hazard function. Let us consider
survival time for any event of interest with
only one covariate, for example, x1j
with two categories (j = 1, 2) and values of
that two categories are 0 (x11 =
0) and 1 (x12 = 1), equation (1)
becomes
for x12 = 1
(t; x = 1)= 0(t)
exp(B12) ... ... ... ... ... ...
... ... ... ... ... ... ... ... ... ... ...
(2)
and for x11 = 0
(t; x = 0)= 0(t)
... ... ... ... ... ... ... ... ... ... ...
... ... ... ... ... ... ... ... ... ... (3)
Dividing (2) by (3) we get
(t;
x = 1)/ (t;
x =0) =RR (risk ratio or relative risk) = exp(B12)
... ... ... (4)
which tells us the relative risk of occurrence
(within the risk period) of that event of interest
with covariate x = 1 compared to that with covariate
x = 0 (considered as reference category). A
RR > 1 means the group of interest (individuals
possessing the category (or value) of covariate)
comparing to the reference group is likely to
have a shorter time to the occurrence of the
event. A RR<1 means the group of interest
comparing to the reference group is less likely
to have shorter time to the occurrence of the
event. The above model (1) can be fitted for
estimating regression coefficients as well as
risk ratio or relative risk, by using SPSS (Statistical
Package for Social Sciences). For analyzing
time to the event (first birth) data, Cox proportional
hazard model (described above) has been used,
which provides an opportunity to explore the
effects of various time independent covariates
on the timing of first birth.
In this analysis, interested event is the first
birth of ever married adolescent women (EMAW),
and all EMAW, after first marriage, are considered
as at exposure to the risk of first birth. Observation
starts at the time of first marriage and ends
when a first child is born or, for right-censored
cases after the month of May 2004 (end of study
period). The Individual Recode Data File of
BDHS-2004 included the variables, age at first
marriage and age at first birth, in century
month codes (CMC) format and also in years.
Century month codes are the measures of number
of months from the beginning of the century
to the occurrence of the interested event, and
January 1, 1900 is considered as the beginning
of century11. This CMC form of variables facilitates
the calculationinterval between events. In this
analysis, the durations (in month(s)) of the
event (first birth) of EMAW were calculated
by subtracting age (in CMC format) at first
marriage from the age (in CMC format) at first
birth. For Cox proportional hazard analysis,
the dependent variable is the likelihood (or
risk) of first birth and the status variable
considered in this study as having a first childbirth
which coded as 1 if ever married adolescent
woman (subject of study sample) had a first
birth up to the end of the study period.
Interpreting the Cox proportional hazard model
involves examining the regression coefficients
(B's) for each category of the covariates and
also examining the relative risk/hazard rate
for each category compared to the reference
category of the covariates. A positive regression
coefficient for a category of covariate means
the relative risk/hazard for first birth is
higher than the reference category, and a negative
regression coefficient for a category of covariate
means the relative risk/hazard for first birth
is lower than the reference category. A relative
risk greater than unity indicates a higher first
birth risk (i.e. lower the duration/length from
first marriage to first birth), and vice versa.
Covariates for Cox proportional hazard model
Place of region, place of residence, EMAW's
educational attainment, educational attainment
of EMAW's husband, age at marriage, age difference
between the spouses, and religion are included
in the Cox proportional hazard model as independent
variables (covariates). Percent distribution
of EMAW with covariates included in the Cox
proportional hazard model, and the categories
of each time independent covariate are provided
in Table 3. Bangladesh is divided into six administrative
divisions (place of region) where respondents
lived, display a variation in contraceptive
method use, in unmet need for contraceptives,
in receiving maternal health care services.
To control for these regional differences, region
is included in this study as a categorical covariate.
Also, the usual place of residence, urban or
rural, where EMAW lived, displays some variation
in cultural, socio-economic and in demographic
features. To examine the disparities in urban
and rural areas regarding timing of first birth
of EMAW, residence is included as a categorical
covariate in the Cox proportional hazard model.
Education of EMAW at first birth is not used
because this information is not available in
the BDHS 2004 data. Instead, education at interview
is used in place of education at first birth.
For most EMAW it is reasonable, since current
age (age at interview) and age at first birth
of EMAW is positively correlated (the value
of Pearson's correlation coefficient is 0.46
at 0.01 level of significance). Educational
attainment of EMAW is generally higher compared
to their husbands' educational attainment. Over
half (53%) of EMAW are educated beyond the primary
level and less than 15 percent of EMAW have
no education; the figure contrasts with the
27 percent of husbands who have no education.
Less than 43% of the husbands are educated beyond
the primary level.
|
Table 3 Percent
distribution of ever married adolescent
women (EMAW) with time-independent covariates
included in the Cox proportional hazard
model, Bangladesh, 2004. |
| Covariate |
Percent (number) |
Covariate |
Percent (number) |
|
Total
Region
Barisal
Chittagong
Dhaka
Khulna
Rajshahi
Sylhet
Residence
Urban
Rural
EMAW’s education
No education
Incomplete primary
Complete primary
Incomplete secondary
Complete secondary or/ and higher
Husbands’ education
No education
Incomplete primary
Complete primary
Incomplete secondary
Complete secondary or/ and higher
|
100
(1629)
12.0 (196)
18.5
(302)
20.1
(328)
15.7
(256)
25.9
(422)
7.7
(125)
29.0 (472)
71.0 (1157)
14.1 (230)
21.4
(349)
11.4
(186)
47.7
(777)
5.3 (87)
27.2 (443)
19.3
(315)
12.0
(195)
27.4
(446)
14.1
(230)
|
Age at first marriage
<14
15–17
18–19
Spouses’ age difference
Husband younger or 0-4 years older
Husband 5-9 years older
Husband 10-15 years older
Husband 16 years or more older
Religion
Other than Islam
Islam
|
57.6 (939)
37.4
(609)
5.0
(81)
12.3 (201)
47.6 (776)
30.8
(502)
9.2
(150)
8.1 (132)
91.9
(1497)
|
Source: Author's estimations based
on BDHS-2004.
Age at marriage is divided into three categories
as younger than 15 years (< 14 years),
15-17 years, and 18-19 years. The distribution
of EMAW's age at first marriage shown in Table
3 reflects that Bangladeshi women marry in relatively
very early adolescence, despite the law of minimum
age at marriage (18 years for women). To examine
the disparities of EMAW's timing pattern of
first birth regarding beliefs in religion, religion,
categorized as Islam and other than Islam, is
included in the Cox proportional hazard model.
To explore whether the impact of other covariates
varies among urban and rural areas, the Cox
proportional hazard model is used separately
for urban and rural areas (Model II and Model
III are respectively for urban and rural areas,
in Table 4).
|
Table 4 Regression coefficients and relative
risks of having the first birth after first
marriage of ever married adolescent women
(EMAW), Bangladesh, 2004. |
|
Covariate |
National
Model I |
Urban
Model II |
Rural
Model III |
|
B |
Relative
Risk
=exp(B)
|
B |
Relative
Risk
=exp(B)
|
B |
Relative
Risk
=exp(B)
|
|
Region
Barisal (RC)
Chittagong
Dhaka
Khulna
Rajshahi
Sylhet
Residence
Urban
Rural (RC)
EMAW’s Education
No education
Incomplete primary
Complete primary
Incomplete secondary
Complete secondary or/and higher (RC)
Education of husband
No education
Incomplete primary
Complete primary
Incomplete secondary
Complete secondary or/and higher (RC)
Age at first marriage
< 14 years
15–17 years
18–19 years (RC)
Spouses’ age difference
Husband younger or 0–4 years older
Husband 5–9 years older
Husband 10–15 years older
Husband 16 years or more older (RC)
Religion
Other than Islam
Islam (RC)
|
0.400
0.091
0.067
0.063
0.113
0.164
-0.414
-0.400
-0.163
-0.199
0.299
0.274
0.041
0.087
-1.815
-1.275
-0.164
-0.109
-0.058
-0.028
|
1.49c
1.10
1.0
1.07
1.12
1.18
0.66a
0.67a
0.85
0.82
1.26a
1.32b
1.04
1.09
0.16c
0.28c
0.85
0.90
0.94
0.97
|
0.836
0.223
0.343
0.444
-0.051
-0.764
-0.195
-0.291
-0.257
0.622
0.647
0.015
0.422
-2.091
-1.215
-0.462
-0.238
-0.138
-0.018
|
2.31c
1.25
1.40
1.56
0.95
0.47b
0.82
0.75
0.77
1.86c
1.91c
1.02
1.53b
0.12c
0.30b
0.63
0.79
0.88
0.98
|
0.279
0.116
-0.003
-0.017
0.208
-0.295
-0.421
-0.097
-0.174
0.062
0.135
-0.021
-0.098
-1.578
-1.126
-0.080
-0.121
-0.053
-0.010
|
1.32a
1.12
0.99
0.98
1.23
0.74
0.66
0.91
0.84
1.06
1.15
0.98
0.91
0.21c
0.32c
0.92
0.87
0.95
0.99
|
|
Initial log likelihood
Final log likelihood
Degrees of freedom
|
10169.6
10076.2
20
|
|
2255.5
2192.0
19
|
|
6879.8
6826.3
19
|
|
Note: Levels significant at a= 10%,
b=5%, and c=1%; RC= Reference category.
The major findings from the Cox proportional
hazard analysis appear in Table 4. The results
are presented as regression coefficient (B)
and relative risk/hazard (exp(B)) of having
a first birth relative to reference group for
a selected covariate. Model I, model II and
model III in Table 4 are based on EMAW for Bangladesh
as a whole (national), urban, and rural areas
respectively. There are regional variations
in the length of first birth intervals: EMAW
from Chittagong division had the shortest first
birth intervals among the six divisions in Bangladesh.
According to place of residence, urban or rural,
EMAW residing in urban areas have shorter first
birth intervals than those EMAW who resided
in rural areas. EMAW with lower educational
attainment are less likely to give birth (longer
first birth interval) compared to EMAW with
complete secondary and/orhigher education in
Bangladesh. In contrast to the effects of EMAW's
education, their husband's education displays
reverse results (in model I and model II). Compared
to the reference group (husband with complete
secondary and/orhigher education) in whole of
Bangladesh (national) and in urban areas, the
risk of first birth increased (had shorter first
birth intervals) for EMAW with husband's education
lower than complete secondary. But in rural
areas (Model III), the variations in the risk
of first birth of EMAW with husband's education
in different levels are not statistically significant.
Adolescent women who married in late adolescence
had higher risk of first birth than those who
married in early adolescence.
All categories for the covariate (age difference
between spouses) had lower risk of having first
birth compared to reference group (husband 16
years or more than 16 years older).
About 53% of EMAW had given first birth, and
about 90% of them gave their first birth within
three years of their marriage in Bangladesh.
It may be caused because of low utilization
of contraceptives at adolescence or before first
birth.
EMAW with no education, incomplete primary,
complete primary or incomplete secondary had
lower risk of first birth (longer first birth
interval) than EMAW with complete secondary
and/or higher education in Bangladesh. It may
have happened because, in Bangladesh, adolescent
girls with more education get married later
(and want child very soon after marriage) compared
to adolescent girls with less education.
Adolescent women's age at marriage had significant
effect on risk of first birth. According to
the results of hazard regression analysis in
the three models, women, who got married at
less than 15 years of age and at between 15-17
years of age, had lower risk of first birth
i.e. longer first birth intervals. It indicates
that Bangladeshi adolescent women, who got married
at age 18 or 19 years, had their first childbirth
very soon after their marriage.
It should be conveyed
to currently married adolescent women about
the perils of early first birth, by making appropriate
communication programs. This study shows that
lengths of EMAW's first birth are very short
in Bangladesh. Chittagong division and urban
areas should be paid more consideration for
lengthening duration between marriage and first
birth. Early childbearing can be postponed by
delaying marriage. Due to prevailing cultural
and social norms favoring early marriage, only
legislation for age at marriage is an effective
way of delaying marriage. There are some other
ways, such as policies and programs, to increase
opportunities for education and more education
for adolescent girls, and to increase parents
(of adolescents) awareness through social campaigns
about negative consequences of early marriage
and early childbearing, all of which may be
likely result in delayed marriage (which may
also be likely to shorten the spouses' age difference).
It is necessary to emphasize reproductive health
education at secondary level in the country's
education system. More important is the need
to lengthen the interval between marriage and
first birth, thus delaying first birth. There
is a need to encourage newly married adolescent
women (also their husbands) to use contraceptives
which are relevant to spacing births through
reinforcing supplies of contraceptives by family
planning program efforts.
Acknowledgments:
This work has been conducted in my stay at Center
for Northeast Asian studies of Jilin University,
China. I am grateful to Center for Northeast
Asian studies of Jilin University for providing
me with computer facilities and a good research
environment. There was no financial support
for this study.
- Steven D. M and Michael M, 1983. The Timing
of the First Birth and Changes in Personal
Efficacy, Journal of Marriage and the Family,
Vol. 45, No. 1, (feb., 1983), pp 47-55.
- McCauley A.P and Salter C, 1995. Meeting
the needs of young adults, Population Reports,
1995, Series J, No.41.
- Tawiah E. O, 2002. Adolescent Fertility
and Reproductive Health in Four sub-Saharan
African Countries, African Population Studies,
Vol. 17, No. 2, 2002, pp. 81-98.
- NIPORT (National Institute of Population
Research and Training), ORC Macro, Johns Hopkins
University and ICDDR, B., 2003. Bangladesh
Maternal Health Services and Maternal Mortality
Survey 2001, Dhaka, Bangladesh and Calverton,
Maryland (USA): NIPORT, ORC Macro, Johns Hopkins
University and ICDDR, B.
- Heidi W. Reynolds, Wong E and Tucker H,
2006. Adolescent's Use of Maternal and Child
Health Services in Developing Countries, International
Family Planning Perspectives, 2006, 32(1):6-16.
- Dilip C. Nath, Kenneth C. Land and Giti
Goswami (1999). EFFECTS OF THE STATUS OF WOMEN
ON THE FIRST-BIRTH INTERVAL IN INDIAN URBAN
SOCIETY. Journal of Biosocial Science, 31,
pp 55-69
- Saumya RamaRao, John Townsend and Ian Askew,
2006. Correlates of Inter-birth Intervals:
Implications of Optimal Birth Spacing Strategies
in Mozambique, Population Council, March 2006.
- Save the Children, 2004. State of the World's
Mothers: 2004, Westport, CT, USA: Save the
Children, 2004.
- Chen Lincoln C., Melita C. Gesche, Shamsa
Ahmed, A.I. Chowdhury and W.H. Mosley, 1974.
Maternal Mortality in Rural Bangladesh, Studies
in Family Planning, Vol. 5, No. 11, (Nov.,
1974), pp 334-341.
- Cox D.R., 1972. "Regression Models
and Life-Tables", Journal of the Royal
Statistical Society, Series B (Methodological),
Vol. 34, No. 2, pp 187-220.
- Banerjee S., 2006. Higher Education and
Reproductive Life Course: A cross-cultural
study of women in Karnataka (India) and the
Netherlands, Doctoral thesis, University of
Groningen, Thela Thesis, Amsterdam, available
at www.rug.nl/prc/publications/completedPhdDissertations
|