Research Article - (2018) Volume 3, Issue 2

In-depth Analysis of Mortality in Relation to Malnutrition in Children Under-five of Age in the Eastern Mediterranean Region

Ayoub Al-Jawaldeh1, Azza Abul-Fadl2* and Afaf Tawfik3
1Department of Nutrition, Vienna University, Austria
2Department of Pediatrics, Benha Faculty of Medicine, Benha University, Egypt
3Department of Nutrition, Director of National Nutrition Institute, Egypt
*Corresponding Author: Azza Abul-Fadl, Professor of Pediatrics, Benha Faculty of Medicine, Benha University, Egypt, Tel: +20201223494183 Email:


Background: The Eastern Mediterranean region (EMR) countries are facing many challenges that influence the nutritional status of children under-five years of age (CU5) and increase early mortality rates (MRs). Few studies have considered using global data to analyze the protective effect of breastfeeding on reducing MRs in the EMR.
Aim: To analyze regional mortality rates in relation to socio-demographic, nutritional indices and early feeding practices in CU5 in the EMR countries.
Methods: Data from the WHO global data bank for nutritional status and MRs in the 22 countries in EMR were analyzed MRs included neonatal mortality rates (NMR), infant mortality rates (IMR), under-five mortality rates (U5MR), maternal mortality ratio (MMR). Data was analyzed by income group and correlated to obesity and underweight, early feeding practices including early initiation of breastfeeding (EIBF), exclusive breastfeeding (EBF), breastfeeding rates at 12 (BR12) and 24 months (BR24) and selected indicators for development included illiteracy rates and total fertility rates (TFR).
Results: MRs correlated with global data for country rates EIBF, EBF. Also BF12 and BF24 months correlated with stunting, wasting in the CU5, U5MR and overweight and obesity in adults. MRs correlated highly with stunting and wasting and poorly with overweight or obesity in CU5. Other variables as illiteracy, TFR, obesity and overweight in adults correlated significantly with MRs and with breastfeeding duration. At country level the low trends of shortened breastfeeding duration were associated with the high MRs and rate for obesity and stunting.
Conclusions: Suboptimal early feeding practices leading to the double burden of malnutrition influence MR in the under-five mortality rates in children. Improving early initiation rates and prolonging the duration of intense breastfeeding can reduce early mortality. This cannot be attained without improving social indicators of literacy and birth spacing i.e. a comprehensive developmental approach to child survival.

Keywords: Childhood mortality rates; Obesity; Breastfeeding rates; Stunting; Wasting; Overweight; Baby-friendly hospitals; Development indices


It is estimated that around 5.6 million children under-five years of age died in 2016. The number of under-five deaths worldwide has declined by half since 1990, from 12.7 million to 5.6 million in 2016. Malnutrition, which is a consequence of poor nutrition and repeated infections, is the underlying cause of death in around one third of all deaths among these children of which one half can be averted by optimal breastfeeding practices [1]. These include exclusive breastfeeding for six months and continued breastfeeding for two years. They are especially critical to prevent diarrhoea and pneumonia, which are the two major causes of death in infants and young children [1,2].

Promoting, protecting and supporting breastfeeding through the Baby-friendly Hospital Initiative (BFHI) is a global initiative lead by UNICEF and WHO in 1991 [3] and updated in 2009 [4] and again in 2017 [5] and aims at improving exclusive breastfeeding rates by implementing the Ten steps to successful initiation and continuation of breastfeeding. The updates in the BFHI targeted strengthening of the implementation of the WHO Code of Marketing of Breast-milk Substitutes (1981) and its subsequent relevant World Health Assembly (WHA) resolutions (The Code) in maternity health care facilities [6].

Hence the support of early, exclusive and continued breastfeeding into the first and second years of life have short and long term outcomes on child health, growth and development over their life span and influence their survival [7-9].

Several studies have discussed the mechanism by which breastfeeding can reduce mortality and improve the growth and development of children. Of these the NEOVITA study group [10] showed that initiation of breastfeeding as early as possible immediately after birth or as soon as mother and baby can respond, is a means for saving lives and ensuring successful breastfeeding.

Although this practice is already part of WHO recommendations for newborn care, it is not a universally applied, as only one half of the newborn babies are being breastfed in the first hour of life [8] which is a core practice of step 4 of the Ten steps of BFHI. Studies have shown that initiating breastfeeding in the first hour skin-to-skin contact between mother and baby up to the first suckle (EIBF) can reduce neonatal mortality by 22% and have later effects on reducing mortality in infancy too [11].

This is particularly important for low income and countries and communities in the Eastern Mediterranean Region (EMR) which are facing chronic emergencies, where malnutrition, neonatal and infant mortalities are high.

Promoting optimal breastfeeding practices can improve survival indirectly by influencing Sustainable Development Goals (SDGs). New analysis shows an investment of USD4.70 per newborn could generate USD300 billion in economic gains by 2025. The Global Breastfeeding Scorecard, which evaluated 194 nations, found that only 40 per cent of children younger than six months are breastfed exclusively (given nothing but breast milk) and only 23 countries have exclusive breastfeeding rates above 60 per cent [10].

Breastfeeding promotion can improve survival indirectly by promoting cognitive development [12,13] and mother health by reducing risk of breast and probably ovarian cancer, which are two leading causes of death among women in both developed [7] and developing countries [14]. Investment in breastfeeding promotion can save the lives of 520,000 children under the age of five and produce economic gains of USD300 billion over a decade of time by reducing expenditure and lives years lost due to illness and disability [9,12-13].

Although breastfeeding has been shown to be the most effective intervention for reducing mortality rates in children and mothers [10,11], there are still the challenge on how to increase exclusive breastfeeding rates and breastfeeding continuity for reducing morbidity and mortality in the region. Also there are still gaps in understanding the relation between mortality, malnutrition, breastfeeding and development in the EMR [10]. Drawing on such issues may assist countries in the EMR to improve, monitor and predict health outcomes and survival of children and mothers, and prevent adverse outcomes of early infant feeding practices in the EMR.


Study design and data sources

Data from the World Health Organization (WHO)-EMRO Framework for Health Information Systems (2017) [14] and core indicators for monitoring health situation and health system performance for 2015 and 2017 for the 22 countries of the EMR region [15]. Missing data was completed from the UNICEF Multicenter Indicator Cluster Surveys (MICS) of UNICEF accessed on [16].

The results from the most recent MICS surveys which were carried out from 1995 are becoming progressively available online and are updated for countries every 3 to 5 years. The data for life expectancy were retrieved from the WHO World Health Statistics 2016 Monitoring Health for SDGs (Sustainable Development Goals) [14]. Breastfeeding rates at 12 months and 24 months were retrieved from UNICEF MICS surveys [16], demographic health surveys or national surveys conducted by the countries. All data reflected the period since 2010 to 2016.

Data selected and data analysis

Data were compiled in excel sheets and statistically analyzed manually. The nutritional status for the 22 countries of the EMR were analyzed and correlated to breastfeeding rates for timely first suckle (EIBF), exclusive breastfeeding (EBF), breastfeeding at 12 (BF12) and 24 months (BF24) in children under five years of age (CU5), overweight and obesity in adults.

The breastfeeding rates were defined as follows: EIBF is defined as early initiation of breastfeeding within the first hour immediately after birth. EBF was measured from data bases and represents babies fed only on mother's milk from birth up to 5 months of age (0-5 months) with no introduction of bottles, pacifiers, drinks or other milks or even water (except for medicine or vitamin drops). Breastfeeding at 12 and 24 months is defined as mothers who were still breastfeeding prior to this age whether or not child was receiving other adequate foods or bottles or pacifiers and irrespective of frequency or duration of breastfeeding.

The data for the Baby-Friendly Hospital Initiative (BFHI) was obtained from the WHO report on national implementation [15] conducted for 120 countries in the world. Data extracted for the EMRO countries included percent designated Baby-friendly hospitals (DBFHs). Missing and updated data was obtained by direct contact with the WHO offices in the countries of the region.

Mortality rates included the neonatal mortality rate (NMR) per 1000 live births, infant mortality rate (IMR) per 1000 live births, under-five mortality rate (U5MR) per 1000 live births and maternal mortality ratio (MMR) per 100,000. Also some selected indicators for development including literacy rates, total fertility (TFR) and population growth rates, overweight and obesity in adults, were studied as contributory factors to MRs and malnutrition in children and maternal survival.

Countries of the EMR were further classified by income groups as follows: High income countries (HIC) including Bahrain, Kuwait, Oman, Qatar, Saudi Arabia and United Arab Emirates (UAE); Middle income countries (MIC) including Egypt, Jordan, Iran, Iraq, Lebanon, Libya, Morocco, Palestine and Syria, Tunisia; and Low income countries (LIC) including Afghanistan, Djibouti, Pakistan, Sudan, Somalia and Yemen.

Statistical Analysis

The collected data were organized, tabulated and statistically analyzed using SPSS version 20 (SPSS Inc; Chicago, Illinois), running on IBM compatible computer with Microsoft Windows 7 Operating System.

The qualitative data for the rates of breastfeeding, literacy, mortality rates and nutritional indices were presented as discrete data per country and also presented in mean and standard deviation for the region. Spearman rank correlation coefficient was used to measure the strength and direction of the linear relationship between two variables. The level of significance cut off used was P<0.05.

Ethical considerations

The work of the paper was in compliance with the ethical principles of Helsinki Declaration (1964).

Results and Discussions

P<0.01 (statistically significant), P>0.05 (not statistically significant). NMR: neonatal mortality rate per 1000 live births, IMR: infant mortality rate per 1000 live births, Under five mortality rate per 1000 live births, MMR: maternal mortality ratio per 100,000 live births, UN-MMEIG (United nation maternal mortality estimation interagency group), 2015 estimate (WHO-EMR, 2017). TFR: Total fertility rate.

Level of significance: Significant (P<0.01), highly significant (P<0.001), not significant P>0.05. TFR: Total fertility rate. NMR: neonatal mortality rate, IMR: infant mortality rate, Under-five mortality rate. MMR: maternal mortality ratio per 100,000 live births, UN-MMEIG (United nation maternal mortality estimation interagency group), 2015 estimate. BFH: as Baby-friendly hospitals.

ISD: insufficient data (3 countries reported data for EIBF which was not enough to estimate correlation). *P<0.05, **P<0.01 and ***P<0.001 (statistically significant), P>0.05 (not statistically significant). NMR: neonatal mortality rate, IMR: infant mortality rate, under five mortality rate, MMR: maternal mortality ratio per 100,000 live births, UN-MMEIG (United nation maternal mortality estimation interagency group), 2015 estimate (WHO-EMR, 2017).


Breastfeeding practices and mortality rates

There were no significant correlations between EIBF and EBF with LBW, stunting, wasting or overweight, obesity in the under-fives. Breastfeeding continuity at 24 months of age was significantly correlated with stunting (r0.5) at P<0.05 and with wasting (r0.5) at P<0.05. While obesity correlated significantly with Breastfeeding at 12 months of age (r-0.48) at P<0.05. EIBF and EBF were not correlated with NMR, IMR, U5MR and MMR at P>0.05 (Table 1).

Mortality rates and nutritional status

Stunting correlated highly with NMR (r0.87), IMR (r0.85) and U5MR (r0.82) at P<0.001, P<0.001 and P<0.001 respectively. Wasting correlated with NMR (r0.55), IMR (r0.55) and U5MR (r0.53) at P<0.01, P<0.01, P<0.05 respectively. Low birth weight (LBW) correlated significantly with NMR (r0.68), IMR (r0.57) and U5MR (r 0.51) with at P<0.01, P<0.01 and P<0.05 (Table 1).

Breastfeeding practices (number of countries) Timely First Suckle (18) Exclusive breastfeeding (0-5 mo) (22) Breastfeeding at 12 months (22) Breastfeeding at 24 months (22) p-Value (level of significance)
Nutritional status in under-fives
Stunting (22) r 0.09 r 0.05 r0.38 r0.48* *P<0.05
Wasting (22) r 0.22 r 0.13 r0.36 r0.49* *P<0.05
Overweight (20) r-0.51 r 0.11 r-0.05 r-0.36  
Obesity (15) r-0.51* r 0.22 r-0.475* r-0.33 *P<0.01
Mortality rates of children and mothers (22)
NMR per 1000 r0.06 r 0.02 r 0.35 r 0.39 P>0.05
IMR per 1000 r0.13 r 0.07 r 0.39 r 0.39 P>0.05
U5MR per 1000 r 0.13 r 0.11 r 0.44 r 0.46* P<0.05
MMR per 100,000 r 0.125 r-0.15 r 0.27 r 0.27 P>0.05
Selected developmental indices
Literacy (Total) (22) r-0.13 r-0.09 r-0.37 r-0.43 P>0.05
Literacy (Female) (22) r 0.08 r-0.12 r-0.26 r-0.21 P>0.05
Total fertility rate (22) r 0.29 r 0.03 r 0.27 r 0.36 P>0.05

Table 1: Correlation studies between breastfeeding practices with malnutrition rates and mortality rates for children and mother and other factors that can influence mortality in EMR countries.

Overweight correlated poorly with NMR (r-0.29), IMR (r-0.32) and U5MR (r-0.34) respectively at P>0.05. Similarly obesity showed poor correlations with mortality rates for children at P>0.05. However, in adults U5MR was significantly correlated with overweight (r-0.89) at P<0.001, and obesity (r-0.9) at P<0.001 (Table 2).

Mortality rates UN-IGME 2015 estimates ean ± SD MMR per 100,000 live births Neonatal MR per 1000 live births Infant MR per 1000 live births U5MR per 1000 live births (P-value)
Level of significance
The Baby Friendly Hospital Initiative (BFHI)
Percent designated BFH (19) 37.7 ± 88.9 r-0.44 r-0.51* r-0.51* r-0.47* P<0.05
Under nutrition in children under-five years of age
LBW 14.1 ± 10.3 r 0.51* r 0.68* r 0.57* r 0.51* P<0.001**
Stunting (22) 19.2 ± 14.9 r 0.79** r0.87** r 0.85** r 0.82** P<0.001**
Wasting (22) 8.8 ± 7.26 r 0.52* r 0.55* r 0.55* r0.53* P<0.01*
Over nutrition in children under-five years of age (CU5)
Overweight (21) 9.11 ± 6.03 r-0.41 r-0.28 r-0.32 r-0.34 P>0.05
Obesity (15) 4.5 ± 4.1 r-0.39 r-0.26 -0.28 r-0.28 P>0.05
Nutritional status in adults
Overweight (22) 54.7 ± 19.5 r-0.80** r-0.94** r-0.93** r-0.89** P<0.001**
Obesity (22) 24.49 ± 11.87 r-0.79** r-0.93** r-0.93** r-0.90** P<0.001**
Selected development indicators that can influence mortality in children and mothers
Literacy (Total) (22) 81.9 ± 22.7 r-0.87* r-0.87* r-0.95* r-0.96** P<0.001**
Literacy (Female) (22) 75 ± 29.87 r-0.59 r-0.70* r-0.74** r-0.72** P<0.001**
TFR (22) 3.3 ± 1.3 r 0.79 r 0.73* r 0.81* r 0.81* P<0.001**
Population growth (22) 3.1 ± 2.75 r-0.15 r-0.276 r-0.22 r-0.19 P>0.05

Table 2: Correlations between mortality with nutritional status in children and adults and selected indicators of development in the EMR countries.

Figure 1 demonstrates that there were positive trends in relationships between stunting, wasting and overweight with mortality rates for NMR and IMR in CU5 for the 22 countries of the EMR.


Figure 1: Relationship of stunting and wasting with mortality rates in children under-five of age in 21 countries of the Eastern Mediterranean region.

Figure 2 demonstrates the country trends of breastfeeding duration (at 12 months) with high nutritional indices for stunting, wasting and overweight in children under-five of age in the 15 countries of the EMR. Low BF12 is shown to be associated with increased rates of malnutrition by country.


Figure 2: Relationship of breastfeeding to 12 months with stunting, wasting and overweight in children under-five of age in 15 countries of the Eastern Mediterranean region.

Figure 3 demonstrates the country trends of breastfeeding duration (at 24 months) with mortality rates for NMR and IMR in CU5 of age in the 17 countries of the EMR. Low BF24 was shown to be associated with increased mortality rates by country.


Figure 3: Relationship of breastfeeding to 24 months with neonatal mortality rate, infant mortality rate and under-five mortality rate in 17 countries of the Eastern Mediterranean region.

Maternal mortality ratio (MMR) correlated with LBW (r0.51), stunting (r0.79) in children under five of age at P<0.05, P<0.001 respectively, but poorly with overweight and obesity in children under five of age (r-0.39, r-0.39 respectively) at P>0.05 (Table 2).

Mortality rates and developmental indices related to literacy and fertility

Total literacy for the countries under study were highly negatively correlated to MMR (r-0.87), NMR (r-0.87), IMR (r-0.95) and U5MR (r-0.96) at P<0.01 respectively. Female literacy was negatively correlated to MMR (r-0.59), NMR (r-0.7), IMR (r-0.74) and U5MR (-0.72) at P<0.05 (Table 2).

Correlations of breastfeeding practices with mortality and malnutrition and other related causes of death by income group

Table 3 compares breastfeeding practices associations with MRs by level of income. In the HIC there were significant correlations between EBF with NMR, IMR and U5MR at P<0.05 and MMR correlated highly with BF12 and BF24 months at P<0.01. In MIC U5MR correlated with BF12 and deaths from NCD with BF24 months. In LIC EIBF correlated with NMR and EBF was also correlated with BF12 at P<0.05.

Breastfeeding rates Mean ± SDs NMR per 1000 IMR per 1000 U5MR per 1000 MMR per 100,000
High Income Countries
Timely first suckle 60.25 ± 27.8 ISD ISD ISD r0.23
Exclusive breastfeeding 32.02 ± 20.37 r0.61* r0.53* r0.47* r0.36
Breastfeeding at 12 mo 51.31 ± 21.75 r0.37 r0.34 r0.26 r0.82**
Breastfeeding at 24 mo 22.29 ± 14.59 r0.08 r0.17 r0.15 r0.79**
Middle Income Countries
Timely first suckle 41.7 ± 24.2 r0.16 r0.17 r0.17 r-0.16
Exclusive breastfeeding 35.6 ± 16.63 r0.01 r0.05 r0.09 r-0.38
Breastfeeding at 12 mo 60.27 ± 17. 5 r0.53* r0.49* r0.51* r0.29
Breastfeeding at 24 mo 24.03 ± 15.38 r0.43 r-0.02 r0.005 r0.074
Low Income countries (LIC)
Timely first suckle 57.7 ± 12.08 r-0.61* r-0.27 r-0.2 r0.09
Exclusive breastfeeding 25 ± 23.79 r0.24 r0.02 r-0.13 r-0.57*
Breastfeeding at 12 mo 70.34 ± 20.45 r-0.12 r-0.39 r-0.37 r-0.45*
Breastfeeding at 24 mo 35.96 ± 21.11 r0.24 r-0.15 r-0.10 r-0.43

Table 3: Correlation of breastfeeding practices with maternal and early childhood mortality rates by the level of income in the EMR

Using multiple global health databases, we have quantified the associations between under-five mortality and exclusive breastfeeding in the presence of key socioeconomic and policy indicators in developing countries. Mean EBF in the region is low in many countries of the region ranging from 25 ± 23.79 in LIC to 35.6 ± 16.63 in MIC. Stunting and wasting rates in the region were associated with overweight and obesity. Low breastfeeding continuity rates by country were shown to be associated with the high trends in malnutrition (Figure 2) and mortality in CU5 (Figure 3). While indicators of malnutrition were closely associated with the high mortality rates in the countries with unstable economies.

Stunting and wasting are usually due to repeated exposure to communicable disease in CU5 [7]. Optimum breastfeeding practices have the potential of averting 1.4 million deaths every year among CU5 [7]. In fact, if coverage of EBF was set at 90 per cent this one preventive intervention could contribute to 13 percent reduction of mortality for this age group [12,13]. A review study identified several studies from Brazil, The Gambia, Ghana, Pakistan, the Philippines, and Senegal from which 1223 deaths of children fewer than two years of age were studied [1]. In the African studies, virtually all babies were breastfed well into the second year of life, making it impossible to include them in the analyses of infant mortality. On the basis of the other three studies, protection provided by breast milk declined steadily with age during infancy. In the first 6 months of life, protection against diarrhoea was substantially greater than against deaths due to acute respiratory infections and persisted up to 11 months of age [1]. For second-year deaths, the pooled odds ratios from five studies ranged between 1.6 and 2.1.

Our study demonstrated significant negative correlations between breastfeeding rates of continuity and mortality rates. The tendency to increasing mortality with suboptimal breastfeeding practices was highest among LIC as shown between EIBF and NMR (r-0.6) and EBF with NMR, IMR and U5MR in HIC at P<0.05. A study in Ghana showed that there was a marked dose response of increasing risk of NMR with increasing delay in initiation of breastfeeding from 1 hour to day 7; overall late initiation (after day 1) was associated with a 2.4- fold increase in risk [11]. The risk of death as a result of infection increased with increasing delay in initiation of breastfeeding from the first hour to day seven; overall late initiation (after day one) was associated with a 2.6-fold risk. Partial breastfeeding was associated with a 5.7-fold adjusted risk of death as a result of infectious disease [11]. Another study showed no significant difference in the risk of death between children who were exclusively breastfed and those who were predominantly breastfed. Non-breastfed infants had a higher risk of dying when compared with those who had been predominantly breastfed [2]. Breastfeeding helps prevent hypothermia and hypoglycaemia in newborn babies, which are contributory causes of early neonatal deaths especially among low birth weight and premature babies [12]. During the late neonatal period, most deaths in developing countries are due to infections such as sepsis, acute respiratory tract infection, meningitis, omphalitis and diarrhoea. Feeding colostrum and breastfeeding, especially EBF, protects against such deaths [9].

Human milk has a protective role in neonatal necrotizing enterocolitis (NEC) which is a disease with a poor prognosis and high mortality in low-birth weight babies [17-19]. NEC is considered to be caused by the coincident of intestinal ischemia-reperfusion injury and systemic inflammation due to the colonization of pathogenic bacteria. Interleukin (IL)-8, a proinflammatory cytokine, plays an important role in the pathophysiology of NEC. It was recently reported that IL-1β activates the IL-8 gene by regulating the transcriptional nuclear factor κB (NF-κB) signaling pathways in intestinal cells. Breast milk dramatically suppresses the IL-1β-induced activation of the IL-8 gene promoter by inhibiting the activation pathway of NF-κB and induced the production of IκBα [20]. These results suggest that human breast milk could be protective and therapeutic in neonates with NEC by inhibiting the activation pathway of NF-κB [21] and could explain the relationship between malnutrition, poor breastfeeding practices and mortality shown in our study.

The NEOVITA study group [10] examined the association between timing of breastfeeding initiation and post-enrolment neonatal and post-neonatal mortality up to 6 months of age, as well as the associations between breastfeeding pattern and mortality. They found that early initiation of breastfeeding reduces neonatal and early infant mortality both through increasing rates of EBF and by additional mechanisms.

In this study we found that EIBF and EBF showed some degree of correlation with U5MR that was not statistically significant (P>0.05). However, we found that U5MR was significantly associated with BF12 and BF24 months (P<0.01). Another study [22] carried out associations between EBF and U5MR in 57 low- and-middle-income countries using data from the WHO and UNICEF databases covering the periods 2006-2014. They reported that EBF was independently associated with U5MR after adjusting for socio-demographic and health systems-related factors. They showed that a 10 percentagepoints increase in EBF was associated with a reduction of 5 child deaths per 1,000 live births. It appears that EIBF and EBF play a role in preventing mortality by preventing malnutrition. In our region malnutrition peaks more in the second and third year, hence breastfeeding continuity into the second year may therefore play an important role in preventing U5MR particularly in the EMR.

In our study we found that data from the region for stunting, wasting, parental illiteracy and TFR were highly correlated to U5MR. Other workers [22] reported a one-unit increase in Human Development Index was associated with a decrease of 231 U5MR per 1,000 live births and that a $100 increase in per capita health care expenditure was associated with a decrease of 2 child deaths per 1,000 live births. One unit increase in physician density was associated with 2.8 units decrease in the U5MR [22]. Population-level health system and socioeconomic factors exert considerable effect on the association between EBF and U5MR. Given that the health policy and socioeconomic indicators that influence EBF and U5MR are modifiable, the previous workers [22] suggest that policy makers could potentially target specific policies and programs to address nationallevel deficiencies in these sectors to reduce U5MR in the EMR countries [22]. In our study the strong correlations with literacy and TFR suggest that polices for improving literacy rates and birth spacing may play a role in reducing malnutrition and mortality in CU5.

In this study there was a negative correlation between EIBF, breastfeeding at 12 months and obesity in CU5. There is increasing evidence suggests that shortened duration of breastfeeding increase the risk to obesity [23,24]. Protein and total energy intake, as well as the amount of energy metabolized, are higher among formula-fed infants relative to breastfed [25], both higher protein intake [26] and weight gain [27] early in life is positively associated with the development of obesity later in childhood. Differences in release of insulin and other pancreatic and gut hormones have also been observed between breastfed and formula-fed infants, with formula feeding leading to higher plasma levels of insulin which in turn would stimulate fat deposition and early development of adipocytes, the cells that store fat [28]. Breast milk itself contains hormones and other biological factors involved in the regulation of food intake and energy balance which may help shape long-term physiological processes responsible for maintaining energy balance [29]. By moderating the impact of physiological processes that promote weight gain during infancy, breastfeeding might assist in “programming” an individual to be at reduced risk for overweight and obesity later in life [30].

In this study there was a high correlation between MMR and stunting and wasting in CU5 on one hand and adult obesity and overweight on the other hand. The mechanism by which MMR increases stunting and wasting could be through the direct effect of maternal morbidity during pregnancy on the increased prevalence of low-birth weight [7,12]. On the other hand breastfeeding can influence MMR related deaths by reducing overweight and obesity related complications as cardiovascular disease especially related to hypertension and coronary heart disease [19,31]. Moreover breast milk can influence the genetic constitution of the body and alter its response to environmental facts. Telomeres are the protective nucleoprotein structures that cap the ends of chromosomes [32]. Telomere-sequence loss does not happen at a constant rate throughout life but rather is characterized by a rapid decline from birth through 4 years of age as a result of exposure to oxidative damage from chronic inflammation as obesity and chronic disease which renders telomeres particularly susceptible to reactive oxygen species-induced damage and more rapid telomere attrition. Meta-analyses of 16 adult studies have suggested an inverse association between adult BMI and leukocyte telomere length. The protective effect of breastfeeding against inflammation may explain the association between exclusive breastfeeding at 4-6 weeks of age and longer TL in the preschool years. The early introduction of non-milk liquids and solids is associated with shorter TL at 4 and 5 y of age. Early exposure to certain foods may trigger an abnormal immune response to food antigens because the infant gut may be too immature before 4-6 months of age. The heightened immune response that is associated with early exposures to solid foods may also result in accelerated telomere aging [32].

However many studies in the GCC countries [33-35] have reported a mean duration of breastfeeding is less than 12 months and that there is high use bottle feeding among Arab nationals from GCC countries than non GCC ones, which is consistent with our findings. Traditional beliefs that babies who are overweight are healthier make mothers add top feeds of formula which interferes with continuity and shortens duration of breastfeeding [36]. This could interpret our findings of overweight and obesity linked with HIC in the region under study [33-35].

In this study we also found that maternal education was associated with shorter duration of breastfeeding and mortality which is consistent with the findings of studies of women in Western countries [37] where breastfeeding duration was positively associated with level of maternal education. Another study in the Gulf reported that women with 12 or more years of education were less likely to have discontinued any or full breastfeeding compared with women with less than 12 years of education [14].

Interventions that promote and prolong breastfeeding duration include antenatal breastfeeding education [38], peer counseling [39], and improving health facility practices through the BFHI [4,5]. Breastfeeding support interventions should be available to all women, particularly those whose infants may be at greater risk as preterm sick babies and sick mothers and mothers with low education level and very high education or career seeking working women. The latter are very important as their children can attain higher IQ with improved breastfeeding, have better careers and improved income for themselves and for their country [40]. On the other hand not breastfeeding carries significant risks for the mother and child [41,42].


The results of our study support many previous studies that show that optimal early infant feeding practices influence nutritional status and early mortality rates in the neonatal, infancy and childhood periods as shown by the positive trends in-between country data for EBF and the corresponding data for nutritional status and mortality for each country. However this study adds to these findings that continued breastfeeding for two years is an important predictor of early childhood mortality especially malnutrition. Moreover, parental literacy and fertility rates influence U5MR. Continued breastfeeding for two years influences early mortality and malnutrition rates. Much work needs to be exerted by countries to achieve the WHO targets for reducing global maternal mortality ratio to less than 70 deaths per 100,000 live births, and targets 2.2 for ending all forms of malnutrition, as malnutrition is a frequent cause of death for under-5 children [1].


Copyright: This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.