African Population Studies
Union for African Population Studies
ISSN: 0850-5780
Vol. 9, Num. 1, 1994
African Population Studies/Etude de la Population Africaine, Vol. 9,
April/avril 1994
BREASTFEEDING
AND INFANT AND CHILD MORTALITY,
IN AMAGORO DIVISION OF BUSIA DISTRICT, KENYA
Priscilla A. AKWARA
Code Number: ep94001
ABSTRACT
This
study examined the impact of breastfeeding duration and age at supplementation
on infant and child mortality. Data was collected for both open and closed
intervals from women aged 15-49 years and resident in Amagoro Division, Busia
District, western Kenya. The study found that breastfeeding initiation is
quite high, with an average of 99% of the women initiating breastfeeding.
The duration of breastfeeding is long, with the majority of the women breastfeeding
for 19-24 months. The major problem noted in the study is early supplementation.
By the age of 3-4 months about 70% of children in the open and closed intervals
were already being fed on other diets in addition to breast milk. The study
also found that, for both the open and closed intervals, breastfeeding duration,
age at supplementation, work status of the mother, type of toilet facility
used by the household, and immunizations received by the child were significant
in child survival. The major conclusion derived from the results of the study
is that breastfeeding practices, environmental factors, and socio-economic
factors are very significant in influencing infant and child deaths. However,
the impact of breastfeeding and age at supplementation are greatly modified
by environmental and socio-economic factors. The study therefore recommends
the re-education of health personnel, especially those in the Maternal and
Child Health clinics (MCH), on the importance of breastfeeding and proper
age at supplementation for the children. The paper also recommends that female
employment opportunities and female education be increased, since maternal
education highly determines the work status of the mother and the nutritional,
health care and sanitary conditions of the household.
INTRODUCTION
In
many traditional societies, women breastfeed their children for extended
periods. Prolonged breastfeeding is said to have the effect of safeguarding
the health of the child (Buchanan, 1975). Several clinical and epidemiological
studies have shown that mother's milk has at least three properties which
help to protect the health of infants. First, it is nutritious. Breast milk
appears to meet the nutritional requirements for the normal growth of an
infant for at least six months (Wray, 1978). Consumed in sufficient quantities,
it provides protection against malnutrition syndromes such as kwashiorkor
and marasmus (Kleinman, 1984). The absence of breastfeeding is related to
an excess in incidence of diseases, such as diarrhoea and gastrointestinal
infections, that are exacerbated by malnutrition (Barros and Victora, 1990).
Although many substitutes contain a substantial proportion of the basic nutrients,
none are as rich or complete as mother's milk. Second, breast milk contains
immune protein substances that serve to prevent both infections of the intestinal
system and those of a more general character which enter the host through
the intestinal tract. Finally, mother's milk is a sterile fluid containing
substances that prevent the growth of bacteria. All these factors make breast
milk a highly hygienic product.
The
benefits from some of these properties, particularly the first two, gradually
diminish as the nutritional requirements of the infant increase. Gray (1981)
and others (Cantrelle and Leridon, 1971; Wray, 1978) have argued that the
relative advantages from both the immune and nutritional potential of mother's
milk decrease rapidly after the sixth month. The importance of each of these
properties for the health of a child depends on conditions that heighten
or lower the child's exposure to deleterious factors that can be neutralized
by mother's milk (Millman, 1985).
The
relationship between breastfeeding and infant and child mortality has been
amply documented in studies from many areas of the world. Although the magnitude
of the estimates differ from study to study and across cultures, most research
in developing countries attest to the importance of breastfeeding as a determinant
of child survival. In general, the literature indicates that breastfed children
are less susceptible to the risk of infant and child death than are artificially
fed children. Furthermore, even among breastfed children, both the duration
and the intensity of breastfeeding are positively associated with child survival.
Thus, wholly breastfed children tend to have a lower risk of dying than partially
breastfed ones (Knodel and Kintner, 1977; Da Vanzo et al., 1983; Palloni
and Tienda, 1986).
Health
care services and the availability of breast milk substitutes have been associated
with less initiation of breastfeeding and shorter durations. In urban areas,
births to women often occur in hospitals and maternity centres where women
are exposed to the practices of trained health personnel and have to contend
with established hospital routines. Many health personnel consider infant
formula to be as good as, if not better than, breast milk; they influence
the mother's view of the adequacy of her breast milk for the child's health
(WHO/UNICEF, 1981). In contrast, since provision of health services in many
developing countries is concentrated in the urban areas, mothers in rural
areas are more likely to deliver at home and are consequently more removed
from such influences. Among rural, illiterate families living in unsanitary
conditions, mothers who rely on formula often dilute the formula powder with
water to such an extent that it inhibits the food value, leading to impaired
physical growth and malnutrition of the infant. Also, many of these women
lack the proper facilities for sterilizing bottles and nipples or refrigerating
mixed formula or milk. The water used to dilute formulas is often unclean,
resulting in gastrointestinal disease, one of the major causes of death in
infants in developing countries.
Another
notable phenomenon in breastfeeding is the age pattern with respect to mortality.
Many studies have found that the strong effects of breastfeeding on mortality
in the early months of life wane gradually as the child grows older. A study
of infant and early childhood mortality in Peru found a negative relationship
between breastfeeding and child mortality between 1 and 23 months of
age (Palloni and Tienda, 1986). The results indicate that breastfeeding became
less significant as the child grew older.
There
remains much to learn, however, regarding the factors underlying the relationship
between breastfeeding and infant and child mortality. In fact, the little
that is known is derived from clinical and epidemiological evidence that
breast milk has some properties that relate to child survival. The claim
that breast milk alone may no longer satisfy the nutritional requirements
of the child after the sixth month may account in part for the declining
importance of breastfeeding after that age that is noted by many studies.
It is becoming apparent that supplementation and environmental factors may
have a greater impact on infant and child mortality after six months of age.
The
Kenya Fertility Survey (KFS, 1977/78) found that most Kenyan women breastfed
fully for two months and thereafter tended to supplement breast milk; by
the end of two months, 66% had given supplementary food. So the actual problem
in Kenya is not initiation of breastfeeding but the duration and intensity
of breastfeeding. The Kenya Rural Child Nutrition Survey (1977/78), found
that, on average, mothers in the rural areas breastfed their children for
14 months while urban mothers breastfed for only 10 months.
The
Kenya Demographic and Health Survey (1989) found that rural women had longer
mean durations of breastfeeding than their urban counterparts. It also found
an inverse relationship between education and the mean duration of breastfeeding.
This is attributed to the fact that a better educated woman is more likely
to work away from home, which makes breastfeeding more difficult.
Eelens
(1983) found that in healthy areas in Kenya where malaria is not prevalent,
both full and partial breastfeeding reduces mortality. In areas where malaria
is rife, only full breastfeeding has any effect on child survival. This suggests
that partial breastfeeding in adverse circumstances can contribute only minimal
protection against disease and death.
Breastfeeding
stands out as a child care index that is consistently found to vary inversely
with mortality, especially in the first year of life. UNICEF has been at
the forefront in the global promotion of a "child survival revolution" based
on what is referred to as the GOBI-FF strategy, an acronym for "growth monitoring,
oral rehydration therapy for diarrhoea, breastfeeding, immunization, food
supplements, and family planning." Despite such an intensive programme, infant
and child mortality in Kenya continue to be high, especially in certain regions.
The
Setting, Data, and Methodology
Amagoro
Division is in Busia District, western Kenya. Amagoro Division is still experiencing
fairly high infant and child mortality despite improvements in health care
provision and general socio-economic development in the country. The few
studies conducted elsewhere in Kenya have focused mostly on breastfeeding
patterns and correlates. These studies have not adequately answered the questions
linked to the underlying effects of such breastfeeding practices on infant
and child mortality under prevailing socio-economic, environmental, and demographic
factors. This study to answer such questions.
This
paper is based on a sample survey of 1,030 women from Amagoro Division, aged
15-49 years. The women surveyed had had at least one live birth and also
had at least one child under five years of age. The data were collected using
a pre-coded questionnaire. The breastfeeding questions were confined to the
closed birth interval (i.e., the second last child) and to the open birth
interval (i.e., the last child). Two aspects of breastfeeding practices were
examined in the survey: duration of breastfeeding, and age at which supplementary
feeding was introduced to the child in addition to or as a substitute for
breast milk. These are crucial elements in understanding the thrust of this
paper.
Logistic
regression was used in analysing the data. This technique measures the likelihood
of an event occurring (infant or child death) given certain conditions (predictor
variables). Only those children who had stopped breastfeeding or who had
died after stopping breastfeeding were included in the analysis. There were
442 last births and 638 next-to-last births included in the analysis.
The
Model
A
total of 8 models were designed: 4 for the open interval and 4 for the closed
interval. Regrettably, it was not possible to subdivide the children into
age groups because of the number of children in each category. But, as Table
1 shows, the majority of those born both last and next to last died between
the ages of 1 and 2 years (though these reported ages at death could have
been affected by age heaping and misreporting). It should be noted that a
different age grouping would alter the results slightly. This may point to
the fact that more children die of environmental factors rather than from
breastfeeding practices, since by age 1 and above, the children become more
exposed to infection through the food they eat, the household sanitary conditions,
and the environment in which they play. Table 1 also shows that a substantial
number die between the first and sixth months of life (30.6% for last births
and 24.7% for next-to-last births). This may indicate the effect of breastfeeding
practices; that is, many children who died may have been supplemented much
earlier, with the supplementary foods given to them having been contaminated
due to environmental factors and preparation habits.
Specification
of the model
The
following variables are used in the multivariate logistic regression:
A. Breastfeeding
Practices
1. Breastfeeding
Duration (in months):
Dummy
variables - 0-12; 13-18; 19-25; 25+ (coded 1 if the case, 0 otherwise).
2. Age
at Supplementation (in months)
Dummy
variables - 0-3; 4-6; 7+ (coded 1 if the case, 0 otherwise).
B. Environmental
Factors
3. Source
of Water
Dummy
variables - Well; River (coded 1 if the case, 0 otherwise).
4. Type
of Toilet Facility
Dummy
variables - Pit; Bush (1 if the case, 0 otherwise).
5. Place
of Delivery
Dummy
variables - Hospital/maternity clinic; Home (1 if the case, 0 otherwise).
C. Socio-economic
Factors
6. Level
of Education
Dummy
variables - No Education; Primary and Secondary+ (1 if the case, 0 otherwise).
7. Work
Status
Dummy
variables - Working away from home; Not working (1 if the case, 0 otherwise).
8. Immunization
Dummy
variables - Not immunized; Received some;Completed immunizations (1 if the
case, 0 otherwise).
D. Demographic
Factors
9. Age
of Mother
Dummy
variables - 15-24; 25-34; 35+ (1 if the case, 0 otherwise).
10. Marital
Status
Dummy
variables - Married; Single (1 if the case, 0 otherwise).
11. Parity
Dummy
variables - 1-2; 3-4; 5+ (1 if the case, 0 otherwise).
Logistic
Regression Estimates for the Last Births
A
total of 4 models are designed. The first model interprets logistic regression
estimates of the impact of breastfeeding duration and age at supplementation
on infant and child mortality. The second model introduces environmental
factors; the third, socio-economic factors; and the fourth, demographic factors.
The idea is to see whether earlier estimates change with the introduction
of additional factors, including ones that may confound the effect of breastfeeding
on infant and child mortality.
Tables
2, 3 and 4 give the estimates for these models. Model 4 is exceptional in
that the results obtained in Model 3 do not change with the introduction
of demographic factors. It is evident from Table 2 that age at supplementation
and breastfeeding duration are significant in child survival. Supplementing
the child at age 4-6 months has an effect of increasing child survival. This
may be because supplementing the child's food at the right age may reduce
the risk of infection through contaminated food and hence reduce diarrhoeal
diseases which can lead to death.
Breastfeeding
duration of 13-18 months is more significant in reducing the chances of death
for the children than a duration of 0-12 months or more than 19 months.
Type
of toilet facility is found to be the most significant determinant of infant
and child mortality using Model 2 (see Table 3). Those children whose
households use the bush for faecal disposal have a higher risk of dying than
do those who use pit or flush toilets.
Breastfeeding
duration is still significant, though a duration of more than 25 months is
not statistically significant. This may be for the same reason as found in
Model 1, namely, that at this age a child's health status is determined
more by the environmental conditions under which he plays, is fed, and lives.
Table
4 shows the results of Model 3, wherein both environmental and socio-economic
factors are taken into account. Here the impact of breastfeeding practices
becomes completely insignificant. Using the bush as a toilet facility remains
very significant, though the pattern and strength of the relationship are
reduced with the inclusion of socio-economic factors.
Of
the socio-economic factors, only immunization is found to be strongly related
to infant and child mortality. The results suggest that there is a negative
relationship between immunization and child death. Fully immunized children
were significantly less likely to die than those who had received only some
immunization or none.
These
patterns suggest that the most important determinants of infant and child
survival in Amagoro Division are environmental and socio-economic factors,
which usually go hand-in-hand with the level of maternal education. Despite
results showing that maternal education was not significant, they point to
the fact that children who receive adequate health care and are fully immunized
have better chances of survival than those who do not. Many studies have
shown that maternal education increases the mother's awareness of the importance
of proper nutrition and health care for the children (Caldwell, 1979, 1983;
Mott, 1982). Therefore the influence of education may have been overshadowed
by the effect of immunization.
Interestingly,
the inclusion of demographic factors in Model 4 does not alter the results
obtained in Model 3. The pattern and strength of associations found in Model
3 remains unchanged. This shows that age, parity, and marital status of the
mother have no significant effect on child survival in Amagoro. Although
breastfeeding stands out as very significant, its significance is completely
modified by the socio-economic factors. A number of things may account for
these findings. One is the problem of heaping in the reported breastfeeding
durations, age at supplementation and age at death. The possibility that
this can alter the estimated effects of breastfeeding on infant and child
mortality has been noted elsewhere (Akin et al., 1981; Palloni and Millman,
1986).
Another
possible reason for the breastfeeding results in this study relates to factors
that may diminish the advantages of breastfeeding over supplementary feeding.
Generally, the impact of breastfeeding on infant and child mortality risk
depends on the nutritional quality of substitute foods, the sanitary conditions
surrounding artificial feeding, and the overall health conditions of the
infant's environment (Knodel, 1977:1113). The issue of supplementary feeding
is very important, since the breastfeeding discussed in this study is largely
supplemented breastfeeding. In Kenya, as elsewhere in African communities
today, the long duration of breastfeeding is punctuated by the early introduction
of supplementary foods. For example, about 20% of the children in the present
study had already been introduced to supplementary feeding by the second
month of life. By the fourth month, this number had increased to about 70%.
The quality of the foods given to a breastfed child may therefore either
boost or diminish the child's survival chances. Also, the degree of sanitation
involved in food preparation and feeding -- and especially the type of toilet
facilities used by the household -- influences the health and mortality status
of the child.
Breastfeeding
duration remains important. However, a duration of more than 25 months is
not statistically significant, perhaps because at this age a child's health
status is determined more by the environmental conditions under which he
plays, is fed, and lives.
Logistic
Regression Estimates for Next to Last Births
Again,
four models are designed, following the same pattern as for last births.
The regression results are shown in Tables 5, 6, and 7. Once again, breastfeeding
for a period of more than 25 months is not statistically significant. Not
only does the child evidently build immunity as he or she grows, but by the
age of two years and more the child is prone to environmental health risks
such as accidents or parasites. Hence, breastfeeding is less important at
this age.
As
in the case of the last births, Model 2 introduces the environmental factors.
The results of the model are shown in Table 6. The introduction of environmental
factors into the model does not greatly alter the results, however. Type
of toilet facility does become the most significant predictor of child death,
as is the case with Model 2 for last births. Use of the bush for faecal disposal
significantly increases the likelihood of dying as compared to using pit/flush
toilets.
Once
again, supplementing the child's breast milk at age 4-6 months decreases
the likelihood of dying. Breastfeeding for more than 25 months reduces the
likelihood of dying, although this is not statistically significant.
Model
3 incorporates socio-economic factors. The regression estimates are shown
in Table 7. A notable aspect of this Model is that type of toilet facility
is no longer a significant predictor of child death when socio-economic factors
are included. Furthermore, immunization (complete or partial) becomes the
most significant predictor of infant and child death. Complete or partial
immunization decreases the likelihood of dying as compared to having received
none.
Lastly,
the likelihood of child death is positively related to mothers not working.
Although level of education is again not itself significant, it has been
established that work status is generally related to level of education.
Children born to more disadvantaged women in terms of education and health
care, for instance, are more susceptible to mortality. But such children
tend to breastfeed longer than those born to more advantaged mothers with
higher levels of education. It may, therefore, be the case that the effects
of maternal socio-economic status far outweigh the advantage of long breastfeeding
durations with respect to survival chances among children. Generally, educated
women tend to breastfeed less and are likely to introduce supplementary feeding
earlier than do those with little or no education. Nevertheless, their educational
advantage may enable them to maintain more hygienic child feeding practices
and to afford higher quality supplementary foods. Thus, the combined advantages
of improved sanitary conditions and higher quality of supplementary foods
may override the advantages of breastfeeding even though women may be working
away from home.
Once
more, the addition of demographic factors fails to alter the results. The
estimates remain unchanged and so are exactly the same as those obtained
in Model 3. We can conclude that demographic factors are not significant
predictors of child mortality in Amagoro Division.
DISCUSSION AND CONCLUSION
This
paper has identified several areas that need more research and programme
intervention in Busia District in general and in Amagoro Division in particular.
First,
the study has shown that duration of breastfeeding significantly influences
child mortality. The longer the duration, the higher the chances of survival.
However, the study has also noted a decline in breastfeeding duration among
educated women. Indeed, education, urbanization, and income are recognized
as the principal factors affecting the incidence and duration of breastfeeding,
together with the intervening socio-cultural factors such as health services,
employment status of women, and availability of breast milk substitutes (Huffman,
1984). As a result, this paper recommends that the government re-train health
personnel, especially those in the Maternal and Child Health (MCH) clinics
in the division, to educate and train the mothers on advantages of breastfeeding
to their children. Furthermore, public awareness on the importance of breastfeeding
should be created in the whole country through the mass media. Likewise,
the government, non-governmental organisations, and health workers should
encourage the promotion and protection of breastfeeding even during the second
year of life. These efforts should include the development of positive societal
attitudes toward longer breastfeeding duration.
Second,
it was found that the age at which supplementary feeding is introduced to
the child influences child survival. In many developing countries, most mothers
initiate breastfeeding but introduce breast milk substitutes quite early,
with most children receiving some form of supplementation by the fourth month.
Here it is recommended that public information, education, and communication
be intensified through the appropriate media on the theme that supplementation
should start at ages 4-6 months. This may reduce infant and child deaths
related to poor child nutrition and feeding habits which are often related
to unsanitary conditions.
The
paper also recommends that national public health education be intensified
to inform the people about the importance of proper sanitation and environmental
hygiene, stressing the use of proper toilets. This may reduce the risk of
infections related to environmental hygiene and sanitation. It is also recommended
that public education about the importance of immunization be intensified
by the government and be aimed especially at changing traditional attitudes
and practices towards child health.
Work
status of the mother is found to influence infant and child mortality. When
women are active in income-generating activities, they are likely to have
a greater share in household decision-making with respect to expenditures
on food, health, and so on. This paper recommends that legislation should
be developed and enforced to provide for longer maternity leaves and to enable
women who wish to breastfeed in the workplace to do so. Improved child mortality
rates must be complemented with activities aimed at improving the living
standards of the people, especially income-generating activities for women
and improved nutrition.
APPENDIX
Table
1 Age at Death, Last Births and Next to Last Births
Age
at Death
Last
Births
Next
to Last Births
Number
%
Number
%
< 1
Month
1
Month - 6 Months
7
Months - < 1 Year
1
Year - < 2 Years
2+
Years
3
15
7
19
5
6.1
30.6
14.3
38.8
10.2
7
18
13
23
12
9.6
24.7
17.8
31.5
16.4
Total
49
100.0
73
100.0
Table
2 Logistic Regression Estimates on the Impact of Breastfeeding and Age
at Supplementation on Infant and Child Mortality - Last Births
Variables
Equations
1
2
3
4
Sup2
B
Significance
Exp(B)
-3.1021
0.0000
0.0450
-3.4643
0.0000
0.0313
-2.9460
0.0000
0.0526
-1.2429
0.0435
0.2886
Dur2
B
Significance
Exp(B)
-2.8503
0.0001
0.0578
-3.3739
0.0000
0.0343
-3.6378
0.0000
0.0263
Dur3
B
Significance
Exp(B)
-3.5975
0.0005
0.0274
-4.3451
0.0000
0.0130
Dur4
B
Significance
Exp(B)
-9.1220
0.6476
0.0001
Constant
B
Significance
-1.0761
0.0000
-0.5412
0.0047
-0.0336
0.8754
0.0689
0.7511
Table
3 Logistic Regression Estimates of the Impact of Breastfeeding Practices
and Environmental Factors on Infant and Child Mortality -- Last Births
Variables
Equations
1
2
3
4
5
Bush
B
Significance
Exp(B)
2.9846
0.0000
19.7791
2.1553
0.0000
8.6306
2.1045
0.0000
8.2030
1.7913
0.0001
5.9974
1.4732
0.0008
4.3638
Sup2
B
Significance
Exp(B)
-2.1815
0.0001
0.1129
-2.4883
0.0000
0.0831
-2.0024
0.0010
0.1350
-0.7535
0.2507
0.4707
Dur2
B
Significance
Exp(B)
-2.7577
0.0003
0.0634
-3.1535
0.0000
0.0427
-3.3860
0.0000
0.0338
Dur3
B
Significance
Exp(B)
-3.2381
0.0019
0.0392
-3.9665
0.0002
0.0189
Dur4
B
Significance
Exp(B)
-8.6173
0.6672
0.0002
Constant
B
Significance
-3.3440
0.0000
-2.2939
0.0000
-1.7591
0.0000
-1.1640
0.0020
-0.8774
0.0179
Table
4 Logistic Regression Estimates of the Impact of Breastfeeding Practices,
Environmental and Socio-economic Factors on Infant and Child Mortality
- Last Births
Variables
Equations
1
2
3
Bush
B
Significance
Exp(B)
2.9846
0.0000
19.7791
1.9125
0.0000
6.7699
1.0216
0.0198
2.7777
Comp
B
Significance
Exp(B)
-4.0814
0.0001
0.0169
-5.0383
0.0000
0.0065
Some
B
Significance
Exp(B)
-9.6835
0.6476
0.0001
Constant
B
Significance
-3.3440
0.0000
-1.8742
0.0000
-0.7166
0.0478
Table
5 Logistic Regression Estimates of the Impact of Breastfeeding Practices
and Age at Supplementation on Infant and Child Mortality -- Next to
Last Births
Variables
Equations
1
2
3
4
Sup2
B
Significance
Exp(B)
-3.6325
0.0000
0.0265
-3.1708
0.0000
0.0420
-3.4045
0.0000
0.0332
-2.1496
0.0001
0.1165
Dur3
B
Significance
Exp(B)
-2.9350
0.0001
0.0531
-3.6994
0.0000
0.0247
-4.1311
0.0000
0.0161
Dur2
B
Significance
Exp(B)
-2.5726
0.0000
0.0763
-2.8243
0.0000
0.0594
Dur4
B
Significance
Exp(B)
-8.8387
0.6255
0.0001
Constant
B
Significance
-0.9420
0.0000
-0.5761
0.0002
0.2197
0.2510
0.3878
0.0501
Table
6 Logistic Regression Estimates of the Impact of Breastfeeding Practices
and Environmental Factors on Infant and Child Mortality -- Next to Last
Births
Variables
Equations
1
2
3
4
5
Bush
B
Significance
Exp(B)
2.6534
0.0000
14.2029
1.6791
0.0000
5.3606
1.4986
0.0000
4.4755
1.2891
0.0002
3.6295
1.1288
0.0013
3.0919
Sup2
B
Significance
Exp(B)
-2.9615
0.0000
0.0517
-2.5094
0.0000
0.0813
-2.8053
0.0000
0.0605
-1.8501
0.0015
0.1572
Dur3
B
Significance
Exp(B)
-2.7179
0.0002
0.0660
-3.4322
0.0000
0.0323
-3.8448
0.0000
0.0214
Dur2
B
Significance
Exp(B)
-2.4331
0.0000
0.0878
-2.6546
0.0000
0.0703
Dur4
B
Significance
Exp(B)
-8.5528
0.6337
0.0002
Constant
B
Significance
-3.0589
0.0000
-1.8076
0.0000
-1.3919
0.0000
-0.5314
0.0616
-0.2824
0.3301
Table
7 Logistic Regression Estimates on the Impact of Breastfeeding Practices,
Environmental and Socio-economic Factors on Infant and Child Mortality
-- Next to Last Births
Variables
Equations
1
2
3
4
5
6
7
Comp
B
Significance
Exp(B)
-5.9223
0.0000
0.0027
-6.5132
0.0000
0.0015
-6.7792
0.0000
0.0011
-6.1261
0.0000
0.0022
-5.4635
0.0000
0.0042
-5.5220
0.0000
0.0040
-5.6792
0.0000
0.0034
Some
B
Significance
Exp(B)
-3.4012
0.0000
0.0333
-3.6938
0.0000
0.0249
-2.9941
0.0002
0.0501
-2.5119
0.0024
0.0811
-2.6939
0.0013
0.0676
-1.9081
0.0007
0.0546
Dur2
B
Significance
Exp(B)
-2.0188
0.0000
0.1328
-2.4440
0.0000
0.0868
-2.5438
0.0000
0.0786
-2.7620
0.0000
0.0632
-2.9901
0.0000
0.0563
Dur3
B
Significance
Exp(B)
-2.9693
0.0002
0.0513
-2.6759
0.0011
0.0688
-2.8620
0.0006
0.0572
-2.7749
0.0011
0.0624
Sup2
B
Significance
Exp(B)
-1.8225
0.0057
0.1616
-1.8359
0.0066
0.1595
-2.0605
0.0030
0.1274
No
B
Significance
Exp(B)
2.1982
0.0191
9.0091
2.4664
0.0101
11.7802
Sup3
B
Significance
Exp(B)
-1.8220
0.0224
0.1617
Constant
B
Significance
-0.2342
0.1376
0.3567
0.0555
0.8531
0.0002
1.2588
0.0000
1.4794
0.0000
-0.4943
0.5773
-0.4787
0.5910
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Copyright 1994 - Union for African Population Studies.