Breast feeding indicators in Sudan: A case study of Wad Medani town
Transcript of Breast feeding indicators in Sudan: A case study of Wad Medani town
Breast Feeding Indicators in Sudan Haroun et al
Sudanese Journal of Public Health: April 2008, Vol.3 (2) 81
Original Article Breast feeding indicators in Sudan: A case study of Wad Medani town Huda Mohamed Haroun1 MDCH, Mohamed Salih Mahfouz2 PhD (Statistics) and Bassam Younis Ibrahim3
PhD (Statistics) 1 Associate Professor and Director of Health Services, University of Gezira, Wad Medani, Sudan. Director of Paediatrics Teaching Hospital, Wad Medani, Sudan. Tel: +249912552418, Fax: +248511843415. email: [email protected] 2 Associate Professor and Director of Population Studies Centre, University of Gezira, Wad Medani, Sudan 3 Associate Professor and Head Department of Applies Statistics, College of Science, Sudan University of Science and Technology. Khartoum, Sudan Abstract
This study aimed at determining the breastfeeding indicators, examining the effect of some demographics and
socio-economic factors on breastfeeding duration and at identifying the most important reasons that led mothers
to stop breastfeeding and wean their children before two years in Wad-Medani town, Gezira state.
The study relied on primary data collected through structured questionnaire designed to cover all research
objectives. Descriptive as well as inferential statistics techniques were utilized. The statistical Package for
Social Science (SPSS) was used to analyze the data.
The results revealed that the majority of the mothers 64.4% breast natural breastfeeding for full four months.
Also, 54.2% of them initiated breastfeeding after one hour from delivery. It was clear that the main reason led
the mothers to wean their infants was pregnancy 54.1%. Further the results suggested a significant association
between breastfeeding duration and some variables such as age of the mother, mother occupation, pregnancy
and family income are all.
The study recommended encouraging breastfeeding and educating mothers and especially pregnant women that
pregnancy does not harm the suckling child.
Keywords:
Introduction
Breastfeeding is defined as the process of feeding
an infant or young child with milk from mother
breasts. Babies have a suckling urge that enables
them to take in the milk, provided there is a good
latch, a normal frenulum, and milk supply (1).
It is only recently that modern scientific researches
have brought to light the paramount importance of
the breastfeeding to the health of child and mother.
Islam has known and emphasized this fact before
some 1400 years: the versus from Al-Ahqaf:
ووصينا الإنسان بوالديه إحسانا حملته أمه كرها ووضـعته "
ثون شهرا حتى إذا بلغ أشده وبلـغ كرها وحمله وفصاله ثال
نعمـت أربعين سنة قال رب أوزعني أن أشكر نعمتك التي أ
علي وعلى والدي وأن أعمل صالحا ترضاه وأصلح لي في
.(2)" ذريتي إني تبت إليك وإني من المسلمين
Several global and national organization (3-8),
including UNICEIF and WHO acknowledge
breastfeeding as the Gold Standard of infant
feeding. In 1990 WHO and UNICEIF jointly
adopted the Innocenti declaration, on the protection,
promotion and support of breastfeeding. (9)
UNICEIF and WHO recommended that all mothers
should breastfeed their babies exclusively for six
months and continue breastfeeding complemented
by other appropriate foods, up to the second year of
life (10). Breastfeeding is important not only for
child health and survival but it is an important
determinant of fertility, and mother health (11).
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Evidence showed the increasing beneficial effects
of breastfeeding, it provides the ideal food for
normal growth and development of infant in term of
nutrition, protection from diarrhoeal diseases (12-14),
respiratory tract (15-18) and urinary tract infections (19), as well as neonatal infections (20). It reduces the
incidence of asthma and other a topyla (21-23), it
protects against obesity (24,25) diabetes mellitus (26),
hypertension, and hence vascular diseases (27).
Economically it reduces the population growth (11)
and hospital cost of admission for respiratory
infections and diarrhoeal diseases (13,28). It promotes
intelligence and cognitive development (29,30).
In Sudan as well as in developing countries children
are suffered from high risk of death due to poor
infant feeding and malnutrition. Nearly all women
can breastfeed if they are supported to be confident
and aware of good techniques and promotion of
practices (30). There are many factors which
determine the breastfeeding practices and make
women fail to complete the two years of
breastfeeding.
The main objectives of this study are to determine
breastfeeding indicators in Wad Medani town and
to identify the main socioeconomic and
demographic factors that determine the duration of
breastfeeding period.
Material and Methods
Wad-Medani town is the capital of the Gezira State.
It is the second largest town in Sudan and lies along
the bank of the Blue River Nile. Wad-Medani is of
430.487 population, 214.670 males and 215.817
females (CBS, 2007). The population of Wad-
Medani is considered a mixture of different tribal
categories of Sudan; most of them are government
employees, traders, farmers, and marginal jobs. The
average health situation in Wad-Medani town is
better than the national average and also better than
any other towns in Sudan.
The data of this study come from a household
survey conducted in September 2007.Questinnaire
was used to collect data from a sample 166 women
who have at least one child one year. A simple
random sampling technique was used with
anticipated population on proportion estimated to
yield a sample of 166 women to be investigated.
The questionnaire designed to obtain two types of
data socioeconomic data, and breastfeeding practice
information.
After the set of data were collected using
questionnaire, the data were coded and organized;
the Statistical Package for social science (SPSS)
was used to analyze the data. General tabulations
including frequency distribution were used. Also
chi-square test was used to test some associations
between the dependent variable breastfeeding
duration and a set of independent variables. More
over multiple linear regression is utilized to study
the determinants of the duration of breastfeeding
practice.
Results
Table (1) shows mother’s, occupational,
educational status and family expenditure. The
table showed that 82.5% of the women are house
wives 15.1% are employees, 1.2% for both workers
and business women. Regarding the educational
status, it was found that, 39.2% were secondary
educated, 24.1% were primary, 15.1 university
graduates 13.9% were intermediate and 4.1% are
illiterate It further presents the family expenditure
per day. Majority of family's expenditure was less
than 20 Sudanese Pounds (SDG) 58.5%.
Expenditure of 18.7% of the families lies between
20 to 29 SDG, 13.2% spends between 30 to 49
SDG. Only 9.6% of the families enjoy expenditure
more than 50 SDG. It is evident that the majority of
the women belong to poor families.
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Table 1: Mother’s Occupational, Educational Status and family expenditure
Characteristics Number (n) Percentage (%) Mother’s Occupation Employer 25 15.1 Worker 2 1.2 Housewife 13 82.5 Business 2 1.2 Mother’s Educational Status Illiterate 7 4.2 khalwa 6 3.6 Primary 49 24.1 Intermediate 23 13.9 Secondary 65 39.2 University and above 25 15.1 Family Daily Expenditure (SDG) 1-9 34 20.5 10-19 63 38.0 20-29 31 18.7 30-39 20 12.0 40-49 2 1.2 50+ 16 9.6 Total 166 100 Table (2) illustrates distribution of mothers
according to age groups, contraceptive use and
contraceptives methods. The relatively large
percentages of mothers are in age groups from 25 to
40 years, which indicates a young age structure.
The table also shows the distribution of mothers
who are currently using family planning. The
distribution showed that 56.6% of them were
current user, while not users were 43.4%. Further
the users were asked to determine the type of
contraceptives. The majorities are using pills 42%,
only 6% and 5.4% used safe period and injections
respectively, while 1.8% of the mothers used Intra
Uterine Device (IUD). Condoms were rarely used
by the woman since only one woman is using
condoms. Table 2: Some demographic characteristics of the mothers
Characteristics Number (n) Percentage (%) Distribution of Age of the mothers 15-19 4 2.4 20-24 19 11.4 25-29 39 23.5 30-34 51 3.7 35-39 40 24.1 40-44 10 6.0 45-49 3 1.8 Contraceptive Use Yes 94 56.6 No 72 43.4 Contraceptives Type Pills 71 42.8 Injections 9 5.4 IUD 3 1.8 Condom 1 0.6 Safe period 10 6.0 NA 72 43.4 Total 166 100 Distribution of the number of children born last two
years and children ever born by age are presented in
table (3). The data showed that early child bearing
is relatively low sine only about 2.2% of births are
belonging to teenagers from 15 to19. The
corresponding figures for currently married women
31.2% for the age group from 30 to 34. On the
other hand column five summarizes the mean
children ever born. It provides good indicator for
cumulative fertility. For example on the average
women have given birth to at least three children by
their late 20s, and more than 7 children by the end
of childbearing ages reflecting the natural fertility
building process. All women have had, on average
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3.9 children. Generally these figures of current and
cumulative fertility indicate a high fertility level
among the studied women.
Table 3 Fertility of the mothers
Age groups Number of women Births during last two years Children ever born Mean children ever born 15-19 4 04 (02.2% ) 6 1.5 20-24 19 22 (11.8% ) 46 2.4 25-29 39 41 (22.0%) 115 2.9 30-34 51 58 (31.2%) 191 3.7 35-39 40 48 (25.8%) 196 4.9 40-44 10 10 (05.4%) 58 5.8 45-49 3 03 (01.6%) 22 7.3 Total 166 186 (100%) 634 3.9 Breastfeeding Practice: All mothers were asked
when they initiated breastfeeding after child birth.
The majority of them initiated breastfeeding after
one hour from delivery 54.2%, and 39.7% of them
initiated breastfeeding during the period from two
hours to 24 hours. Only 6.0% of the mothers
initiated breastfeeding after one day (table 4).
Table (4) also illustrated the distribution of natural
breastfeeding practice as well as the duration of
breast feeding in months. It is clear from the table
that woman who exclusively breastfeeding for full
four months are the majority, consisting 64.5%.
Those who breastfeed for six months were 29.5%,
while only 6.0% breastfeed for two months.
Table (4) also showed the distribution of
breastfeeding duration. It is clear that the majority
of the mothers stopped breastfeeding during the
period between 19 to 24 months, 21.2% of them
stopped breastfeeding before one year and 25%
stopped breastfeeding during the period 13 to 18
months.
Table 4: Breast Feeding Practice
Characteristics Number (n) Percentage (%) Initiation of Breastfeeding After one hour 90 54.2 Two hour to 23 hours 66 39.7 After one day 10 6.0 Exclusive Breastfeeding Two Months 10 6.0 Four Months 107 64.5 Six Months 49 29.5 Duration of Breastfeeding 1-6 Months 10 6.0 7-12 Months 26 15.7 13-18 Months 40 24.1 19-24 Months 80 48.2 24 Months and above 10 6.0 Initiation of Breastfeeding After one hour 90 54.2 Two hour to 23 hours 66 39.7 After one day 10 6.0 Age for complementary food After four months 17 10.2 After six months 149 89.8 Food type Traditional Sudanese food 150 90.4 Ready made food 16 9.6 Bottle Usage Used 34 20.5 Not used 132 79.5 Total 166 100 The study found that exclusive breastfeeding was
ranged between four and six months because most
mothers give their infants complementary food after
six months 89.8% and only 10.2 % after four
months (table 4).
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Sudanese Journal of Public Health: April 2008, Vol.3 (2) 85
Regarding food type and according to table (4), the
majority of the mothers give their children
Sudanese food more than 90%, while only 10% of
the women gave ready made food for their children.
On the other hand 20.5% of the mothers stated that
they use bottle for their children.
Figure (1) illustrates the main reasons which lead
the mothers to stop breast feeding. It was clear that
the main reason led the mothers to wean their
infants was pregnancy 54.1%. Some mothers
stopped breastfeeding their children because their
health was not helpful to continue breastfeeding
15.5%. Others argued that they stopped
breastfeeding for cultural beliefs 9%. Only 5.5%
stopped breastfeeding for work and little milk.
Figure (1): Reasons for stopping breastfeeding
54.10
6.56
15.57
8.20 9.026.56
0.00
10.00
20.00
30.00
40.00
50.00
60.00
Pregenancy Few milk Health of themother
Health of thechild
Traditions andCluture
Work
Pecentages
Associations Between breastfeeding Duration
and Some Selected Variables: In this part cross
tabulation for most important variables related to
breastfeeding duration are presented. In each case a
test of independence was performed using χ2 (Chi-
square) test of independency. The independent
variables that assumed to affect the duration of
breastfeeding (dependent variable) are age of
mother, education of the mother, parity, mother’s
occupation, pregnancy, family expenditure and
contraceptives use.
Table (5) shows that, age of the mother, mother
occupation, pregnancy and family income are all
significant. This means that these variables are
associated with the breastfeeding duration. On the
other hand, mother's education, parity,
contraceptive use turned out to be has no
association with the duration of breastfeeding.
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Sudanese Journal of Public Health: April 2008, Vol.3 (2) 86
Table 5: Association between breastfeeding duration and some selected variables
No. Independent Variable χ2 Value Significance 1 Age of the mother 127.0 0.000** 2 Mother's Education 4.50 0.290 3 Parity 5.12 0.231 4 Mother's occupation 12.05 0.030* 5 Pregnancy 6.96 0.040* 6 Family Expenditure 6.03 0.049* 7 Contraceptive Use 2.13 0.340 * Significant at 5% level ** Significant at 1% level Regression Analysis: To dig deeper analyzing the
determinants of breastfeeding duration, a multiple
linear regression model was built, to test the
influence of a set of independent variables on the
dependent variable (breastfeeding duration). It is
therefore necessary to make an analysis that can
clearly show to what extent each one of the
explanatory variables affects the duration of
breastfeeding. The following equation describes
this relationship.
iy x x x x d d d1 1 2 2 3 3 4 4 5 1 6 2 7 3= β + β + β + β + β + β + β +Ψ Where:
Y = Breastfeeding duration.
X1= Age of mothers;
X2 = Parity of the mother;
X3 = Mothers years of education;
X4 = family monthly expenditure;
10 if th e m o th e r n o t p re g re n a n t
D =1 if th e m o th e r p re g re n a n t
20 i f t h e m o t h e r i s h e a l t h y
D =1 o t h e r w i s e
30 i f th e m o th e r n o t w o rk in g
D =1 o th e rw is e
iΨ = Error term (assumed to be distributed normal
distribution).
76544321 ,,,,,, ββββββββ and ,
are the partial regression coefficients.
The estimated equation is given bellow are figures
between practice indicate t values:
( ) ( ) ( ) ( ) ( ) )5.3(57.05.45.398.)25.1(25.1403.401.25.4005.080.040.075.0ˆ 3214321
−−−−−+−+−−= dddxxxxy
R2 = 0.93 F ratio = 280.0 with P value = 0.000
From the estimated equation, the overall model is
significant at 1% level (P value = 0.00). All the
expected signs are confirmed by the empirical
results. R2 or coefficient of determination revealed
that 93% of the variation in duration of
breastfeeding was explained by the set of the
explanatory variables. A close examination of the
model confections indicates that mother age is
significant at 1% level (P value = 0.000).
Pregnancy is also a highly significant variable at
1% level (P value = 0.001) followed by mother's
occupation at 5% level (P value = 0.01) and family
income at 5% level (P value = 0.03).
On the other hand mother's education turned to be
insignificant (P value = 0.23). The mother health
also was not significant variable affecting
breastfeeding duration (P value = 0.34). Parity has
no significant effect on the duration of
breastfeeding (P value = 0.45).
In conclusion our model supports the results
obtained by Chi-square test, which indicate that
among these variables age of mother, pregnancy,
mothers occupation and family expenditure were
influencing breast-feeding and hence strong
determinant of it duration.
Discussion
Conventional wisdom, supported by scientific
research, advocates breastfeeding as superior
method of infant feeding. The nutrition,
immunological, psychological, and general health
advantages conveyed to notes have been
documented for years. The merits of human breast
milk as compared to artificial feeds include ideal
nutrition content, better absorption, fewer food-
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Sudanese Journal of Public Health: April 2008, Vol.3 (2) 87
related allergies, more favorable psychological
development, better immunologic defenses, and a
substantial economic advantage. There is another
compelling benefit to exclusive breastfeeding:
positive effects on the development of an infant's
oral cavity, including improves shaping of the hard
palate resulting in proper alignment of teeth and
fewer problems with malocclusions (31,32).
Breastfeeding is a natural impulse of all mothers as
it allows them to express their love, tenderness and
protection of their children. Islam recognizes and
highlights this fact as the previously mentioned
verse of the holy Quran instructed. WHO and
UNICEIF have recommended initiation of breast
feeding within the first hour of life .exclusive
breastfeeding for six months and should be
continued with appropriate complementary food for
two years (33).
Studying these indicators, we found that 54.2% of
mothers started breastfeeding their children within
one hour which is similar to the result of save
motherhood survey conducted in Sudan in 1999
(SMS), where two thirds of mothers were initiated
breastfeed in the first hour of life. It also similar to
Middle East and North Africa, Sub-Saharan Africa
and Asian countries and higher than North America
and Europe (34). The importance of early initiation
of breastfeeding come from the fact that early skin
to skin contact is associated with more affectionate
behavior of mother towards her infant that decrease
the rate of breastfeeding problems (33). Desirable
rate of exclusive breastfeeding still distant goal as
in most of the Arab world. Sudan tailed them, its
exclusive rate for six month in our study is 29.4%
which is lower than Egypt and Syria but similar to
some high income Gulf Arabian counties, and some
Sub-Saharan countries .It also lower than some
Asian countries (35). Exclusive breastfeeding rates
by UN regions are 25% in Africa, 45% in Asia, and
31% in Latin America (36). The prevalence of
breastfeeding between one year and 15 months is
relatively high in all regions Africa, Asia ,and Latin
America which dropped for children 18 to 24
months in Latin America, Caribbean and Near
East/North Africa to about 25%. In sub-Saharan
Africa and Asia is relatively high over 50% (36,44). In
our study the rates are similar to SMS and sub-
Saharan Africa where the majority of mothers
breastfeed their children more than 18 months.
Factors that determine stoppage of breastfeeding in
our study are headed by mother get pregnant more
than 50% of mothers have a misconception that
pregnancy has an ill effect on fetus this finding
seems to be characteristic for Sudan and shared
others Middle East and Asian, countries (37-39).
Other factors that influence breastfeeding duration
are work of the mother, and insufficient milk which
are similar to studies in some Arab countries (37,40,41). And differ from Europe and North America
where the main determinant factor is the decision of
the mother to breast feed her child (42,43).
Bottle feeding carries a significant risk of morbidity
because of bottle contamination, and is therefore a
useful indicator to follow. Bottle feeding is highly
variable depending on the region it is lowest in
Sub-Saharan Africa, although it is 30% in Namibia
and Nigeria. In Latin America and Caribbean rates
are very high .whereas rates are much lower
In Asia 9.2% in India (43,44). In our study bottle
feeding is about 20.5% which is similar to Sub-
Saharan Africa, and Near East/North Africa (44).
In our study most mothers used to give their
children home made food, which is good, but they
need to be counseled to fit with the national
recommendations.
Conclusion
The present work indicates that mothers' practices
related to breastfeeding in Wad Medani town are
still not to optimum, efforts should be made to
change bad behavior and reinforce good ones.
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Sudanese Journal of Public Health: April 2008, Vol.3 (2) 88
Health education programmers for breastfeeding
promotion should address the barriers for achieving
high rates of breastfeeding indicators taking the
advantages of the Quranic advice. Working mothers
should be encouraged by providing facilities for
breastfeeding in the work place paid maternal leave
for six months to achieve exclusive breastfeeding.
WHO/UNICEF, Baby Friendly Hospital Initiative
must be adopted in all maternity and pediatrics
hospital. Universities can introduce breastfeeding
promotion as part of community courses.
Community leaders, Imams also should advocate
for breastfeeding as part of their talk in mosque.
References
1. World Health Organization. Postpartum Care of
the Mother and Newborn. Document number
WHO/RHT/MSM/98.3. Geneva, World Health
Organization. 1998.
2. The Holy Quran. Surat Al-Ahgaf. Verse (15).
3. World Health Organization. WHO Report IMCI.
1999 [Online]. Available from
http://www.who.int/ [Accessed 30 October
2007].
4. World Alliance for Breastfeeding Action.
Global Forum 2: Challenges to breastfeeding in
the 21st century. 23-27 September 2002, Arusha,
Tanzania. 2002.
5. World Alliance for Breastfeeding Action. World
Breastfeeding Week 1-7 August 2006 [Online].
Available from http://www.waba.org.my/
[Accessed 30 October 2007].
6. International Baby Food Action Network.
African News. 2006. [Online]. Available from
http://www.ibfan-africa.org/ [Accessed 30
October 2007].
7. International Baby Food Action Network.
Africa Maternity Protection. 2000 [Online].
Available from http://www.ibfan-africa.org/
[Accessed 30 October 2007].
8. World Alliance for Breastfeeding Action.
Breastfeeding Healthy Mothers and Healthy
Babies. 2002 [Online]. Available from
http://www.waba.org.my/ [Accessed 30 October
2007].
9. World Health Organization. Protecting,
Promoting and supporting Breastfeeding: The
Special Role of Maternity Services. A joint
WHO/ UNICEIF Statement. Geneva: World
Health Organization. 1989.
10. WHO and UNICEIF. Innocenti Declaration on
the Protection, Promotion and Support of
Breastfeeding. Florence, Italy. 1990.
11. Labbok M, Cooney K and Coly S. Guidelines:
breastfeeding, family planning, and the
lactational amenorrhea method-LAM.
Washington, DC: Institute for Reproductive
Health/Georgetown University. 1994.
12. WHO Collaborative Study Team on the Role of
Breastfeeding on the Prevention of Infant
Mortality. Effect of breastfeeding on infant and
child mortality due to infectious diseases in less
developed countries: a pooled analysis. Lancet.
2000; 355(9202): 451-455
13. De Zoysa I, Rea M and Martines JC. Why
promote breastfeeding in diarrhoeal disease
control programmes? Health Policy and
Planning. 1991; 6(4): 371-379.
14. Khin MU, Nyunt-Nyunt-Wai , Myo-Khin , Mu-
Mu-Khin , Tin U and Thane-Toe. Effect on
clinical outcome of breast feeding during acute
diarrhoea. British Medical Journal (Clinical
Research Ed.). 1985; 290(6468): 587-589.
15. César JA, Victora CG, Barros FC, Santos IS and
Flores JA. Impact of breast feeding on
admission for pneumonia during postneonatal
period in Brazil: Nested case-control study.
BMJ. 1999; 318(7194): 1316-1320
16. Bachrach VR, Schwarz E and Bachrach LR.
Breastfeeding and the risk of hospitalization for
Breast Feeding Indicators in Sudan Haroun et al
Sudanese Journal of Public Health: April 2008, Vol.3 (2) 89
respiratory disease in infancy: a meta-analysis.
Archives of Pediatrics and Adolescent
Medicine. 2003; 157(3): 237-243.
17. Howie PW, Forsyth JS, Ogston SA, Clark A and
Florey CD. Protective effect of breast feeding
against infection. BMJ. 1990; 300(6716): 11-16.
18. Wilson AC, Forsyth JS, Greene SA, Irvine L,
Hau C and Howie PW. Relation of infant diet to
childhood health: seven year follow up of cohort
of children in Dundee infant feeding study.
BMJ. 1998; 316(7124): 21-25.
20. Ashraf RN, Jalil F, Zaman S, Karlberg J, Khan
SR, Lindblad BS, et al. Breast feeding and
protection against neonatal sepsis in a high risk
population. Archives of Disease in Childhood.
1991; 66(4): 488-490.
21. Gdalevich M, Mimouni D and Mimouni M.
Breast-feeding and the risk of bronchial asthma
in childhood: A systematic review with meta-
analysis of prospective studies. Journal of
Pediatrics. 2001; 139(2): 261-266.
22. Kull I, Wickman M, Lilja G, Nordvall SL and
Pershagen G. Breast feeding and allergic
diseases in infants - a prospective birth cohort
study. Archives of Disease in Childhood. 2002;
87(6):478-481.
23. Saarinen UM and Kajosaari M.. Breastfeeding
as prophylaxis against atopic disease:
prospective follow-up study until 17 years old.
Lancet. 1995; 346(8982): 1065-1069.
24. von Kries R, Koletzko B, Sauerwald T, von
Mutius E, Barnert D, Grunert V, et al. Breast
feeding and obesity: Cross sectional study.
BMJ. 1999; 319(7203): 147-150.
25. Gillman MW, Rifas-Shiman SL, Camargo CA
Jr, Berkey CS, Frazier AL, Rockett HR, et al.
Risk of overweight among adolescents who
were breastfed as infants. Journal of the
American Medical Association. 2001;
285(19):2461-2467.
26. Work Group on Cow's Milk Protein and
Diabetes Mellitus. Infant feeding practices and
their possible relationship to the etiology of
diabetes mellitus. Pediatrics. 1994; 94(5): 752-
754.
27. Singhal A, Cole TJ and Lucas A. Early nutrition
in preterm infants and later blood pressure: two
cohorts after randomised trials. Lancet, 2001;
357(9254): 413-419.
28. Arifeen S, Black RE, Antelman G, Baqui A,
Caulfield L and Becker S. Exclusive
breastfeeding reduces acute respiratory infection
and diarrhea deaths among infants in Dhaka
slums. Pediatrics. 2001; 108(4): E67
29. Mortensen EL, Michaelsen KF, Sanders SA and
Reinisch JM. The association between duration
of breastfeeding and adult intelligence. Journal
of the American Medical Association. 2002;
287(18): 2365-2371
30. Anderson JW, Johnstone BM and Remley DT..
Breast-feeding and cognitive development: A
meta-analysis. American Journal of Clinical
Nutrition. 1999; 70(4): 525-535.
31. Palmer B. The influence of breastfeeding on the
development of the oral cavity: A commentary.
Journal of Human Lactation. 1998; 14(2): 93-98
32. Drane D. The effect of use of dummies and teats
on orofacial development. Breastfeeding
Review. 1996; 4(2): 59-64.
33. Harmon-Jones C. Duration, intensity, and
exclusivity of breastfeeding: Recent research
confirms the importance of these variables.
Breastfeeding Abstracts. 2006; 25(3): 17-20.
34. LLLI Center for Breastfeeding Information.
Breastfeeding Statistics, September 15, 2003
[online]. Available from
http://www.llli.org/cbi/bfstats03.html [Accessed
30 October 2007].
35. UNICEF. Desirable rate of exclusive
breastfeeding, still a distant goal in most of the
Breast Feeding Indicators in Sudan Haroun et al
Sudanese Journal of Public Health: April 2008, Vol.3 (2) 90
Arab world [Online]. Available from
http://www.unicef.org/media/media_27854.html
[Accessed 30 October 2007].
36. Lauer JA, Betrán AP, Victora CG, de Onís M
and Barros AJ. Breastfeeding patterns and
exposure to suboptimal breastfeeding among
children in developing countries: Review and
analysis of nationally representative surveys.
BMC Medicine. 2004; 2: 26.
37. 37- Al-Amoud MM. Breastfeeding practice
among women attending primary health centres
in Riyadh. Journal of Family and Community
Medicine. 2003; 10(1): 19–30.
38. Iskandar MB, Costello C and Nasution Y.
Initiation and duration of breast-feeding in
Indonesia. Asia-Pacific Population Journal.
1990; 5(1): 89-112.
39. Hajian-Tilaki KO. Factors associated with the
pattern of breastfeeding in the north of Iran.
Annals of Human Biology. 2005; 32(6): 702-
713.
40. Kamel NM, Ibrahim AG, Aref SR and Ziyo FY.
Current status of breastfeeding in Alexandria
governorate: A community-based study. Eastern
Mediterranean Health Journal. 1997, 3(3):
511–518.
41. al-Mazroui MJ, Oyejide CO, Bener A and
Cheema MY. Breastfeeding and supplemental
feeding for neonates in Al-Ain, United Arab
Emirates. Journal of Tropical Pediatrics. 1997;
43(5): 304-306
42. Stalteri OL. Comparison of the factors that
influence breastfeeding duration in selected
cultures. 2007 [Online]. Available from
http://www.epidemiology.vcu.edu/MPH_Progra
m/Research/Stalteri.htm [Accessed 30 October
2007].
43. Peters E, Wehkamp KH, Felberbaum RE,
Krüger D and Linder R. Breastfeeding duration
is determined by only a few factors. European
Journal of Public Health: 2006; 16(2): 162-167
44. United Nations System of Organizations.
Breastfeeding and Complementary Feeding
Patterns and Trends 2007 [Online]. Available
from:
http://www.unsystem.org/scn/archives/rwns04/c
h28.htm [Accessed 30 October 2007].