Are breastfeeding patterns in Pakistan changing?
Khan, Zubeda
Prolonged breastfeeding, apart from being beneficial to the
child's health, helps in keeping the birth rate low. One of the
effects of malnutrition in developing countries is the reduction in the
period of lactation. In Pakistan, where the birth rate is already very
high and the use of contraceptives limited, any reduction in the
breastfeeding period may result in an increase of the birth rate. This
study was undertaken to find out the recent changes in the breastfeeding
pattern and their potential impact on the fertility levels in Pakistan.
The data for this study is based on two National Fertility Surveys--the
1975 Pakistan Fertility Survey (PFS) and the 1979 Population, Labour
Force, and Migration Survey (PLM). The estimation of the mean duration
of breastfeeding is based on a measure developed by morley (1982), given
by the formula [bar.Y] = B/[bar.N], where [bar.Y] = estimate of duration
of breastfeeding, B = total number of children currently being
breastfed, [bar.N] = the average number of births per month. Taking
mother's age, parity, place of residence, education, and occupation
as background variables, the findings are as follows: (1) a decline of
about 4 months occurs in the average length of lactation; (2) age of
mother is positively associated with the duration of breastfeeding; (3)
urban women have shorter periods of breastfeeding; (4) women working on
farms have longer periods of breastfeeding; (5) a slight increase in
fertility is due to the decline in breastfeeding and the decrease in the
use of contraceptives. It is suggested that breastfeeding may be
prometed among Pakistani mothers to reduce the birth rate.
INTRODUCTION
Prolonged breastfeeding, apart from being beneficial to the health
of the child, makes an important contribution to maintaining lower
fertility rates. This role of breastfeeding is of profound demographic
significance in developing countries such as Pakistan, where the use of
contraception continues to be low. The fertility-reducing effect of
breastfeeding stems from the fact that, after giving birth, a woman
becomes temporarily infertile for a period, the length of which is
directly related to the duration of breastfeeding [Corsini (1979); Jain,
Hermalin and Sun (1979)]. The length of this period (post partum amenorrhea) extends from about two months (for those women who do not
breastfeed at all) to about two years (with prolonged breastfeeding).
[Jellife and Jellife (1972).] (1)
It has been observed that with the process of modernization, some
of the traditional norms which favour breastfeeding practices may be
changing in many parts of the developing world. The declines in the
incidence and prevalence of traditional lactational practices may be
contributing to an upsurge in the fertility levels of such populations
[Dyson (1988)]. In Pakistan, where the use of contraception is limited
to only a small fraction of urban women, or those who are educated, any
decline in breastfeeding practices would contribute further to the
prevailing high levels of fertility. The objective of this paper is to
investigate the recent changes in breastfeeding practices as well as
their potential impact on the fertility levels in Pakistan. (2)
The study has used data from two national fertility surveys--the
1975 Pakistan Fertility Survey (PFS) and the 1979 Population, Labour
Force, and Migration Survey (PLM). (3) The major aim is to identify any
changes in the mean duration of breastfeeding between the dates of those
two surveys. Information on breastfeeding is extracted from reproductive
histories collected for all women in the sample in the two surveys.
Both surveys are nationally representative; they utilized an
identical fertility module, and are, theoretically, directly comparable.
The reader, however, must be cautioned against general data problems in
Pakistan, and in recall of dates and ages, in particular, which directly
influence the type of results found in this paper. Reporting of the
duration of breastfeeding, in particular the birth-dates of children (on
which the estimates of birth intervals are based) and ages of women, are
known to be particularly problematic in Pakistan. Further, though the
questionnaires of the two surveys are identical, the quality of
field-work may have differed. Some of the characteristics of the samples
of the two surveys--such as the larger proportions of urban women and
educated women in the PLM as compared to the PFS, and the unusually low
proportions of single women at ages 20-24 found in the PFS as compared
to the PLM and the 1981 Census--indicate the use of a significantly
different sample even though both surveys are claimed to be nationally
representative (Appendix Table). Therefore, the results of the analysis
should be regarded as tentative until confirmed further by a similar
fertility survey, such as the Pakistan Demographic Health Survey, which
is being fielded currently.
METHODOLOGY AND RESULTS
To estimate the mean duration of breastfeeding, this study has used
a measure developed by Mosley et al. (1982), which requires information
on the total number of children currently breastfed in the sample
population (irrespective of their ages) and the total number of births
that have occurred during the specified period (per month for example)
in the same population. For this purpose, the number of children
reported as being currently breastfed is considered a measure of
prevalence of breastfeeding, which is a function of the number of
children who start breastfeeding (taken as the incidence) and the
duration of those still breastfeeding, with a constant stream of
entrants. The estimation of mean duration is obtained by dividing the
observed prevalence by the estimated incidence.
Denoting the total number of children currently breastfed by B, and
the average number of births per month by [bar.N], the estimate of mean
duration of breastfeeding is as follows:
[bar.Y] = B/[bar.N]
This measure is relatively insensitive to errors in the reported
dates of birth for the children in question, because the numerator does
not require information on the dates of birth, but these can be
calculated from births in the specified period preceding the survey.
However, only those women who had at least one birth during the period
concerned are included in the base.
In estimating the mean duration of breastfeeding from the 1975 PFS
Survey and the 1979 PLM Survey, we have used the number of births
occurring during the four years preceding each survey. These were
available from the maternity histories of the women interviewed. The
period of four years was selected to obtain an adequate number of
births, as well as to restrict information to births occurring in a
recent enough time-period to provide a better recall of birth events.
TRENDS IN BREASTFEEDING: PREVALENCE AND DURATION
Table 1 shows that amongst all children born during the four years
preceding the survey, as well as for those still surviving (at the time
of the survey), the incidence of breastfeeding is very high. Only a very
slight decline of between 1 and 3 percentage points is reported between
1975 and 1979 [see Khan (1985)].
The table, however, indicates that the mean duration of
breastfeeding declined for mothers of all ages between the two surveys,
and was particularly notable for those aged 25 years and above. If the
estimates arrived at from the two surveys are accepted on their face
value, then an overall decline of about 4 months in the average
breastfeeding period over a period of four years is a cause of concern.
This is due to possible implications for maintaining already high
fertility levels, especially in view of the fact that contraceptive use
levels in Pakistan are reported to be less than 10 percent. For the
purpose of understanding more fully this dramatic change in
breastfeeding, it is essential to study whether it has occurred across
the board or only applies to selected groups of women.
In other societies, mother's age has been found to have a
positive influence on the duration of breastfeeding [for example, see
Jain et al. (1970) for Taiwan]. This association was also found in the
earlier survey (PFS), where the children born to young mothers (15-24
age-group) were, on average, breastfed 4-5 months less than the children
born to older women (35-49 age-group). In the later survey (PLM), there
is, on average, 1.8 months difference in duration of breastfeeding
between the younger and older mothers. For surviving children, a more
consistent pattern was observed across the PFS and PLM data, and a 3-4
months difference in the breastfeeding duration was found between the
younger mothers (15-24 age-group) and older mothers (35-49 age-group).
BREASTFEEDING BY PARITY
A number of factors are important in the association between parity
and breastfeeding duration. For instance, lower parity women tend to be
young, and the majority are from urban areas where breastfeeding periods
are relatively short. A comparison in Table 2 indicates that
women's parity has a consistent positive association with the
percentage of children breastfed particularly in the case of the PFS.
Also, it is clear from looking at later parity figures that the duration
of breastfeeding increases with parity. In 1975, the mean duration of
breastfeeding for the first child was 17.3 months, and at parity 7+ it
was 21.2 months. Similarly in 1979, the mean duration of breastfeeding
for the first child was 13.7 months, and at parity 7+ it was 16.2
months. The temporal decline in the mean duration of breastfeeding is
seen across parity groupings: in 1975 at parity 1 the mean duration of
breastfeeding was 17.3 months, and it was as low as 13.7 in the PLM and
a similar decline was observed between higher parity groupings. The
curvilinear trend in the proportions of children ever breastfed, seen in
the PLM, is puzzling and in contradiction with the other findings of the
table.
BREASTFEEDING BY RESIDENCE
The change in breastfeeding patterns is usually attributed to
modernization and associated preference for bottle-feeding, and is thus
expected to apply more to urban children and amongst younger mothers.
However, the data reveal that the decline in breastfeeding durations is
slightly higher for the rural than for the urban women (Table 3). The
urban-rural differential remains still high, but is somewhat narrowed.
Also, when comparing percentages of mothers who ever breastfed by age
groups of mothers at the time of survey, we see a decline in
breastfeeding among older women between the two survey dates. In fact,
durations of breastfeeding seem to have diminished most for the rural
mothers of ages 25 years and above, while those rural mothers aged 15-24
years demonstrate a slighter diminution in the mean length of
breastfeeding. For the urban mothers, the decline in the duration of
breastfeeding is nearly of the same magnitude across all age groups.
Thus, the table reveals the somewhat unexpected findings; that the older
as opposed to the younger, and the rural as opposed to the urban, women
are the ones whose breastfeeding behaviour seems to be changing more
than that of the other corresponding groups. If this trend is
extrapolated into the future, it implies a further narrowing of the four
month differential in the mean length of breastfeeding across urban and
rural Pakistani women in the near future.
BREASTFEEDING BY RESIDENTIAL MOBILITY
Table 4 shows the effect of residential mobility on the incidence
and duration of breastfeeding. Women whose childhood place of residence
was urban, and who were also currently living in urban areas, have the
smallest percentage of children ever breastfed and also the shortest
length of lactation both in 1975 and in 1979. Congruously, those women
whose childhood place of residence and current residence were both rural
areas have the longest period of lactation. But for women whose
childhood place of residence was rural but who were currently residing
in urban areas, a shorter length of breastfeeding was observed than if
they had not migrated. This shows that the urban environment to which
women migrate seems to have a notable impact on current breastfeeding
behaviour, reflecting a lesser role of early socialization on
breastfeeding behaviour. Alternatively, one could argue that the rural
outmigrants were selected by characteristics which were to show once
they came to the urban areas, and that it was the early selection which
was operational, rather than the lack of socialization, within rural
areas.
CHANGES IN BREASTFEEDING BY MOTHER'S CHARACTERISTICS
In most settings it has been observed that the length of
breastfeeding decreases monotonically with the educational level of
mothers. Table 5 shows the same pattern for Pakistan, where women with
some education breastfed for shorter durations than women with no
schooling. However, illiterate mothers and those who had upto a primary
education had almost a similar length of breastfeeding in both the PFS
and the PLM. The main difference between the two surveys is in the mean
length of breastfeeding of women with above-primary education, which
implies a much greater educational differential in breastfeeding in the
PFS as compared to the PLM. However, it should be noted that the number
of observations on which the averages for women with more than middle
schooling in the PFS is quite small and, therefore, the PLM results may
be more reliable. A similar pattern was observed across the three age
groups for these categories of education. Also, educated women were
generally less likely to have ever breastfed their children than mothers
with no education: 95 percent of the children of uneducated mothers were
ever-breastfed as compared to the 84 percent of those with mothers with
a primary education in the PFS; while the corresponding figures for the
PLM were 93 percent and 87 percent, respectively.
BREASTFEEDING BY MOTHER'S OCCUPATION
Due to small numbers in each occupation group, we categorized working women into two broad groups of those in agriculture and those in
non-agricultural occupations. Table 6 shows that those in agriculture
have longer breastfeeding durations than non-working women and women in
non-agricultural occupations. This pattern was true for both the PFS and
the PLM surveys. However, when figures for breastfeeding for non-working
women by urban-rural residence are compared, the occupational
differences become negligible.
BREASTFEEDING AND FERTILITY
Since a decline in reported lactation has been identified in the
period 1975-1979, and because breastfeeding is a powerful variable in
explaining fertility levels, especially in traditional societies where
the use of contraception is low, we need to assess the impact of this
decline on fertility. For this purpose, we applied the Bongaarts model
to assess the contribution of the four major intermediate fertility
variables on fertility; such as (1) proportions married among females;
(2) contraceptive use effectiveness; (3) duration of post-partum
infecundability; and (4) prevalence of induced abortions. Three other
variables, according to Bongaarts, appear to be less important at the
aggregate level, i.e., fecundability, spontaneous intra-uterine
mortality rate, and prevalence of permanent sterility. Thus, the first
four variables are emphasized in the Bongaarts framework. Among them are
the requisite data on induced abortion, which are close to impossible to
collect in an Islamic State like Pakistan, where religious and social
pressures are a great hinderance to obtaining such information.
Formulas for estimating the indexes of the intermediate fertility
variables from the basic input data are summarized in the following
format.
The Model requires data for the following variables: (4)
[C.sub.m] = TFR / TM
therefore [C.sub.m] (1975) = 7.0 (1)/8.18 (1)
= .855
and [C.sub.m] (1979) = 6.5 (2)/8.1 (2)
= .802
[C.sub.c] = 1 -1.18u.e
therefore [C.sub.c] (1975) = 1-(1.18) (0.052) (3)
(0.83) (1)
= 1-0.051
= 0.949
and [C.sub.c] (1979) = 1-(1.18) (0.033) (3)
(0.83) (4)
= 1-0.032
= 0.968
[C.sub.i] = 20 / 18.5 + i, where, i = 1.5+ 0.56 L (5)
therefore [C.sub.i] (1975) = 20 / [18.5 + [1.5 +
(0.56) (19.3)]]
= 20/[18.5+(1.5+10.8)]
= 20/[18.5+12.3]
= 20 / 30.8
= 0.65
and [C.sub.i] (1979) = 20 / [18.5 + [1.5 +
(0.56) (15.2)]]
= 20/[18.5+(1.5+8.5)]
= 20/[18.5+10.0)
= 20 / 28.5
= 0.700
As can be seen quite clearly, the values for both surveys do fall
into the acceptable range (Table 7). Subsequently, we proceed to apply
the Bongaarts model primarily to assess the likely relative impact of
changes in breastfeeding on fertility across the two surveys.
The application of the model demonstrates (in Table 8) that the
slight increase in total marital fertility in Pakistan has probably been
contributed largely by the decline in breastfeeding, and, to a lesser
extent, by the decline in contraceptive use. While estimating the
Bongaarts indices, we find that the combined measure ([C.sub.m] x
[C.sub.c] x [C.sub.i]) presents a figure conflicting with the actual
trend in fertility. It implies that the TFR should have risen by 3
percent, whereas a slight decline is noted in the TFR between 1975 and
1979. This is most likely due to the fact that contraceptive use was
under-reported in the PLM [Soomro et al. (1983)]; however, the total
fertility rate of 6.5 found in the PLM could in itself be subject to
underreporting of births.
SUMMARY AND CONCLUSIONS
This analysis of breastfeeding was based on data from the PFS and
the PLM surveys. Since we were interested in estimating the mean
duration of breastfeeding, data of all the births occurring during the
four-year period prior to each survey have been used to apply
Mosely's Method to estimate the mean length of lactation.
In this analysis mother's age, parity, place of residence,
education, and occupation have been selected as background variables.
The salient findings are as follows:
1. There is a decline of about 4 months in the average length of
breastfeeding in the four-year period between the two surveys;
2. Age of the mother is positively associated with the duration of
breastfeeding;
3. Parity has an important effect on the length of lactation;
particularly the first child is breastfed for shorter periods than
subsequent children;
4. Place of residence continues to influence the differentials in
breastfeeding with women living in the urban areas; the breastfeed for
shorter periods than women living in the rural areas;
5. The urban environment to which women migrate seems to have a
notable impact on current breastfeeding behaviour, reflecting a lesser
role of early socialization--or a selection effect which differentiates
those families which do decide to migrate--on breastfeeding behaviour;
and
6. Women's education plays a very important role in shortening
the length of breastfeeding. But at the same time, there is also a
recent trend towards prolonged breastfeeding among young educated
mothers.
POLICY IMPLICATIONS
The decline in the duration of breastfeeding, if all else remains
the same, tends to decrease the intervals between births and will,
therefore, increase fertility unless compensated by a simultaneous
increase in the use of contraception. The data from 1975 and 1979 show
that although the length of breastfeeding has declined, it has not been
accompanied by a rise in contraceptive use. This has serious
implications for the already high fertility rate being experienced in
Pakistan. Just to counter the present decline in length of lactation,
contraceptive use rates would have to rise to 8.3 (5) percent (from the
3.3 percent recorded in 1979) in order to retain stable fertility
levels.
Further, the decline observed in the duration of breastfeeding in
the PLM survey may also have a positive effect on the child mortality
levels, unless offset by other means of family limitation, because of
the widely established negative link between birth spacing and infant
child mortality. Thus, population planners have to consider the
declining breastfeeding trend in formulating targets, and will have to
work with doctors, nutritionists, health workers, and the media to
promote breastfeeding among Pakistani mothers. The purpose of such a
policy will be dual; firstly, to improve children's health, and
then to arrest the decline in breastfeeding which may cause fertility
levels to rise further.
Appendix
Appendix Table
Percentage Distribution of Some Background Characteristics in the
PFS and PLM Samples
Characteristics PFS PLM
Rural-Rural 68 58
Urban-Rural 4 3
Rural-Urban 9 10
Urban-Urban 18 29
Educational Level
Illiterate 87 86
Primary 7 6
Middle+ 4 8
Not Reported 2 --
Proportions Married, By Age
15-19 38 28
20-24 77 75
25-29 89 92
Sources: 1. Data tapes of the Pakistan Fertility Survey 1975 (PFS) and
the Population, Labour Force, and Migration Survey 1979 (PLM).
2. [Sathar et al. (1984).]
Author's Note: I am extremely grateful to Dr Zeba A. Sathar
for her guidance in preparing this paper. I am also thankful to the
anonymous referee of this Journal for the valuable comments and
suggestions made by him; to Mr M. Afzal for helpful comments made by him
on an earlier draft of the paper; and to Mr M. Rafiq for his help with
programming and obtaining statistical results. The excellent typing
support of Mr Fazle Akbar is also appreciated. However, only I am
responsible for any shortcomings of the paper.
REFERENCES
Alam et al. (1983) Fertility Levels, Trends and Differentials in
Pakistan: Evidence from the Population, Labour Force and Migration
Survey 1979-80. Islamabad: Pakistan Institute of Development Economics.
(Population, Labour Force and Migration Project Reports No. 1.)
Bongaarts, J. (1978) A Framework for Analyzing the Proximate Determinants of Fertility. Population and Development Review 4 : 1
105-132.
Corsini, Carlo A. (1979) Is the Fertility-reducing Effect of
Lactation Really Substantial? Chapter 9 (pp. 195-215). In Henri Leridon
and Jane Menken (eds) Natural Fertility. Liege: Ordina Editions.
(Published for the International Union for the Scientific Study of
Population.)
Dyson. T. (1988) Decline of Traditional Fertility Restraints. IPPF.
Medical Bulletin 22:6.
Jain, A., K. T. C. Hsu., R. Freedman and M. C. Chang (1970)
Demographic Aspect of Lactation and Post-Partum Amenorrhoea. Demography 7 : 255-271.
Jain, Anrudh K., Albert I. Hermalin, and T. H. Sun (1979) Lactation
and Natural Fertility. Chapter 8 (pp. 149-194). In Henri Leridon and
Jane Menken (eds) Natural Fertility. Liege: Ordina Editions. (Published
for the International Union for the Scientific Study of Population.)
Jellife, D. B., and Patrice E. F. Jellife (1972) Lactation,
Conception, and Nutrition of the Nursing Mother and Child. Tropical
Pediatrics 81 : 4 45-9.
Khan, Z. (1985) Breastfeeding in Pakistan. Islamabad: Pakistan
Institute of Development Economics. (Population, Labour Force and
Migration Project Reports No. 10.).
Mosley, W. H., L. H. Werner and S. Becker (1982) The Dynamics of
Birth Spacing and Marital Fertility in Kenya. Voorburg: International
Statistical Institute. (WFS Scientific Report No. 30.)
Sathar, Z. A. (1984) Intervening Variables in Fertility in
Pakistan: A Review of Findings from the Pakistan Fertility Survey:
113-122. Voorburg. The Netherlands: International Statistical Institute.
Sathar, Z. A., S. Mubashir Ali and G. M. Zahid (1984)
Socio-economic and Demographic Characteristics of the Population in
Pakistan: Findings of the Population, Labour Force and Migration Survey
1979-1980. Islamabad: Pakistan Institute of Development Economics.
(Population, Labour Force and Migration Project Reports No. 8.)
Soomro, G. Y., and S. M. Ali (1983) Prevalence of Knowledge and Use
of Contraception in Pakistan. Islamabad: Pakistan Institute of
Development Economics. (Population, Labour Force and Migration Project
Reports No. 3.)
(1) Among lactating women, ovulation and menstruation are delayed
by a period of 2.5-26 months, the upper limit being applicable to the
cases wherein breastfeeding is complete and unsupplemented.
(2) This analysis is limited to the potential impact on the
fertility levels through changes in the amenhorrea period due to the
changes in lactation. However, changes in breastfeeding also act through
its effect on infant mortality, which in tom may affect fertility also.
These routes have not been explored in this paper.
(3) The total sample size was 4949 ever-married women in 1975 and
10,086 in 1979.
(4) (1.) [Sathar (1984) Table 7.1.1
(2.) [Alam et al. (1983) Tables 12 and 13.1
(3.) [Soomro and Ali (1983) Table 5.1
(4.) e is assumed to be 0.83 as was the case in 1975.
(5.) L was equal to 19.3 months in PFS, and to 15.2 months in PIM.
(Table 1 page 6).
(5) Computed by using the Bongaarts formula, assuming that all
other indices except [C.sub.i] were to remain the same for 1979.
Zubeda Khan is Research Demographer at the Pakistan Institute of
Development Economics, Islamabad.
Table 1
Estimates of Breastfeeding for All Children Born in the Four Years
Preceding the Survey, and of Surviving Children by Age of Mother at
Birth (1975 PFS and 1979 PLM), Pakistan
Mean Duration Total Births
Percentage Breastfeeding in Four Years
Breastfed (Months)
Age Group
All Children PFS PLM PFS PLM PFS PLM
All Women 94.2 92.7 19.3 15.2 4463 8955
Women Aged 15-24 92.3 93.0 17.7 14.7 1912 3788
Women Aged 25-34 95.6 93.0 20.0 15.4 1930 3846
Women Aged 35-49 96.0 91.0 22.2 16.5 584 1280
Surviving Children
All Women 98.4 96.9 22.8 17.7 3762 7687
Women Aged 15-24 97.8 97.2 21.6 17.0 1567 3270
Women Aged 25-34 98.9 96.7 23.1 17.8 1666 3334
Women Aged 35-49 100.0 97.0 25.8 20.1 500 1049
Sources: Data tapes of the Pakistan Fertility Survey 1975 (PFS) and the
population, Labour Force, and migration Survey 1979 (PLM).
Table 2
Estimates of Mean Duration of Breastfeeding for all Children Born in
the Four Years Preceding the Survey, by Parity of Mothers (1975 PFS
and 1979 PLM), Pakistan
Mean Duration
Percentage Breastfeeding Total Births
Breastfed (Months) in Four Years
PSF PLM PFS PLM PFS PLM
Parity
1 90.4 90.7 17.3 13.7 714 1448
2-3 94.4 93.7 18.9 14.7 1277 2692
4-6 94.9 93.5 19.2 15.9 1456 2977
7+ 95.8 91.3 21.2 16.2 1016 1838
Sources: Data tapes of the Pakistan Fertility Survey 1975 (PFS) and
the Population, Labour Force, and Migration Survey 1979 (PLM).
Table 3
Estimates of Breastfeeding for Children Born in the Four Years
Preceding the Survey, by Rural-Urban Residence of Mother, and by
Age of Mother at Birth (1975 PFS and 1979 PLM), Pakistan
Mean Duration Total Births
Percentage Breastfeeding in Four Years
Breastfed (Months)
Age Group Residence PFS PLM PFS PLM PFS PLM
All Women Rural 95.0 93.6 20.4 16.8 3256 5472
Urban 92.2 91.2 16.1 12.8 1206 3483
Women Aged Rural 93.5 93.5 18.6 16.3 1398 2268
15-24 Urban 89.1 92.2 15.3 12.2 513 1520
Women Aged Rural 96.3 94.5 21.3 16.9 1384 2320
25-34 Urban 94.0 90.7 16.6 13.1 546 1526
Women Aged Rural 95.7 91.8 23.9 17.8 445 855
35-49 Urban 97.1 89.4 16.7 13.8 138 425
Sources: Data tapes of the Pakistan Fertility Survey 1975 (PFS)
and the Population, Labour Force, and Migration Survey 1979 (PLM).
Table 4
Estimates of Mean Duration of Breastfeeding for All Children Born
in the Four Years Preceding the Survey, by Residential Mobility
of Mother at Birth (1975 PFS and 1979 PLM), Pakistan
Mean Duration
Percentage Breastfeeding Total Births
Breastfed (Months) in Four Years
PFS PLM PFS PLM PFS PLM
Previous-current
Residence
Urban-Urban 91.2 90.9 15.3 12.0 811 2617
Rural-Rural 95.1 93.5 20.4 16.9 3057 5206
Rural-Urban 94.3 92.3 17.8 15.2 395 866
Sources: Data tapes of the Pakistan Fertility Survey 1975 (PFS) and
the Population, Labour Force, and Migration Survey 1979 (PLM).
Table 5
Estimates of Mean Duration of Breastfeeding for All Children Born in
the Four Years Preceding the Survey, by Education of Mother at Birth
(1975 PFS and 1979 PLM), Pakistan
Mean Duration
Percentage Breastfeeding Total Births
Breastfed (Months) in Four Years
PFS PLM PFS PLM PFS PLM
Mother's Education
No Schooling 94.9 93.2 19.7 15.5 3885 7702
Primary 91.4 93.4 19.0 14.8 315 527
Middle+ 84.4 87.0 11.0 12.4 169 726
Sources: Data tapes of the Pakistan Fertility Survey 1975 (PFS)
and the Population, Labour Force, and Migration Survey 1979 (PLM).
Table 6
Estimates of Mean Duration of Breastfeeding for All Children Born in
the Four Years Preceding the Survey, by Mother's Occupation
(1975 PFS and 1979 PLM), Pakistan
Mean Duration
Percentage Breastfeeding Total Births
Breastfed (Months) in Four Years
PFS PLM PFS PLM PFS PLM
Mother's Occupation
Not Working 94.1 92.7 19.6 15.2 3657 7987
Urban 91.8 91.5 16.5 13.0 1004 3247
Rural 95.0 93.5 20.8 16.8 2653 4740
Agriculture 97.6 94.3 20.1 16.8 232 543
Non-agriculture 93.5 90.6 16.7 13.4 573 425
Sources: Data tapes of the Pakistan Fertility Survey 1975 (PFS) and
the Population, Labour Force, and Migration Survey 1979 (PLM).
Table 7
Summary of Estimation of Indexes of Intermediate Fertility Variables,
Fertility Measures, and Required Input Measures for Bongaarts Model
Approximate
Observed Range:
Countries with
High Fertility
(TFR Greater Method of
Variable than 5) Estimation
Indexes of Intermediate
Fertility Variables
[C.sub.m] = Index of Proportion 0.65-0.9 [C.sub.m] =
Married TFR/TM
[C.sub.c] = Index of Non-
contraception 0.8-1.0 [C.sub.c] =
Variable 1-1.18 u.e
[C.sub.i] = Index of Lactational
Infecundability 0.5-0.7 [C.sub.c] =
20/18.5+i *
Fertility Measures
TFR = Total Fertility Rate 5.0-7.2 As Observed
TM = Total Marital Fertility
Rate
Required Input Measures
U = Average Proportion of 0-0.2 As Observed
Married Women Currently
Using Contraception
e = Average Effectivness of n.a. As Observed
Contraception
i = Average Duration of 10-20 As Observed
Lactational Infecundability
(Months)
Sources: [Bongaarts (1978) Table 2.]
* i can be estimated from the mean duration (in months) of lactation;
L, with the following equation: i = 1.5 + 0.56L. (The mean duration
of lactation is easily calculated by duration since the last birth is
known.)
Table 8
Application of the Bongaarts Framework to PFS 1975 and PLM 1979,
Pakistan
1975 1979 1979/1975
Measures
Total Fertility Rate (TFR) 7.0 6.5 0.928
Total Marital Fertility 8.18 8.1 0.990
Rate (TM)
Current Contraceptive Use (M 0.052 0.033 0.634
Contraceptive Effectiveness (e) 0.83 0.83 1.000
Lactational Infecundability (i) 12.3 10.0 0.813
Index
Index of Proportions Married 0.855 0.802 0.938
([C.sub.m])
Index of Non-contraception 0.949 0.968 1.020
([C.sub.c])
Index of Lactational
Infecundability ([C.sub.i]) 0.65 0.70 1.077
Combined Indexes ([C.sub.m] 0.527 0.543 1.030
x [C.sub.c] x [C.sub.i])
Sources: 1. [Sathar (1984) Table 7.1.]
2. [Alam et al. (1983) Tables 12 and 13.]
3. [Soomro and Ali (1983) Table 5.]
4. e is assumed to be 0.83 as was the case in 1975.
5. L was equal to 19.3 months in PFS, and to 15.2 months
in PLM. (Table 1 page 6.)