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Unhealthy weight among young children in the Middle East and North African region

Published online by Cambridge University Press:  22 August 2023

Rebecca Jones-Antwi*
Affiliation:
Hubert Department of Global Health, Emory University, Atlanta, GA 30322, USA
Solveig A Cunningham
Affiliation:
Hubert Department of Global Health, Emory University, Atlanta, GA 30322, USA
*
*Corresponding author: Email [email protected]
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Abstract

Objective:

To understand early-life growth in the Middle East and North Africa (MENA) region, and how it has changed over time, we estimated the prevalence of wasting and overweight at ages under 5 years.

Design:

Cross-sectional data from twenty-nine Demographic and Health Surveys with direct anthropometric data and parent-reported demographic information were examined. The study utilised the WHO Child Growth Standards to classify overweight (weight-for-height z-score ≥ 2 sd above the median), wasting (weight-for-height z-score ≤ 2 sd below the median) and unhealthy weight defined as either wasting or overweight.

Setting:

Nationally representative for nine of the MENA countries (Armenia, Azerbaijan, Egypt, Jordan, Mauritania, Morocco, Tunisia, Turkey and Yemen).

Participants:

Children under age 5 from nine MENA countries between 1987 and 2016 (n 155 961).

Results:

Across the region, at the most recent time point, between 7·3 and 23·6 % of children experienced unhealthy weight (Jordan – 7·3 %, Egypt –23·6 %); 1·7 and 16·6 % had wasting (Turkey, Yemen) and 2·0 and 15·0 % had overweight (Yemen, Egypt). Overweight was more common than wasting in all countries except Yemen and Mauritania. Between 1987 and 2016, the prevalence of unhealthy weight in the region increased (10·0–18·4 %) due to increases in both wasting and overweight. Boys had a higher prevalence of unhealthy weight than girls.

Conclusion:

Undernutrition continues to be a problem in some countries in the MENA region, and overnutrition is emerging as a health concern in many countries in the region. Countries in the region must advance programmes that reduce undernutrition while not overlooking or inadvertently promoting overnutrition.

Type
Research Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of The Nutrition Society

Undernutrition and overnutrition in childhood are both associated with adverse health in childhood and later in life(Reference Black, Victora and Walker1). The 2013 Lancet Maternal and Child Nutrition Series noted the emergence of overnutrition in low- and middle-income countries, while also documenting the unfinished agenda in undernutrition(Reference Black, Victora and Walker1). Growth patterns during the first years of life are important for long-term health, including the onset of chronic diseases later in life(Reference Victora, Adair and Fall2). For example, a systematic review of growth in infancy and subsequent health concluded that high BMI during the first 5 years of life is associated with adult obesity and early onset of metabolic syndrome(Reference Monteiro and Victora3). In developing countries, 52·5 % of all deaths of young children (0–5 years) were attributable to malnutrition, including both over- and undernutrition(Reference Caulfield, de Onis and Blössner4,5) . Major improvements have been made over the past 20 years in reducing undernutrition among children under age 5(6,Reference De Onis, Blössner and Borghi7) ; yet, in 2015, 156 million children under 5 were chronically undernourished(8). At the same time, the global prevalence of overweight among children under 5 has increased modestly with heterogeneous trends in low- and middle-income regions(Reference Di Cesare, Sorić and Bovet9). The Middle East and North Africa (MENA) region has been identified as a region with high prevalence of overweight and obesity among adults(Reference Ng, Fleming and Robinson10). Indeed, more than half of adult women in Libya, Qatar and Kuwait had obesity in 2014.

Children in the MENA region may be affected both by under- and overnutrition. Child wasting, defined as low weight-for-height, was the leading cause of disability-adjusted life years in Afghanistan, Somalia and Yemen, based on data as current as 2013(Reference Mokdad, Forouzanfar and Daoud11). In Morocco in 2002, between 25 and 38 % of children up to age 5 years were estimated to be underweight (defined as BMI-for-age z-score more than two sd below the median)(Reference Benjelloun12). In Egypt in 2014, 8 % of children up to age 5 years were estimated to be wasted; wasting was associated with child characteristics (birth weight, gender), mother’s characteristics (age, education), father’s education and contextual factors (household wealth; urbanicity)(Reference Abdulla, El-Raouf and Rahman13). At the same time, in 2014, 17 % of children under age 5 were at-risk-of-overweight or overweight(Reference Bonsu and Addo14). In Turkey, at-risk-of-overweight and overweight increased from 1993 to 2013 for this age group(Reference Karaketir, Lüleci and Eryurt15). In Iran, however, only 5% of children aged 12–18 years were overweight and underweight, respectively, in 2011–2012(Reference Bahreynian, Qorbani and Khaniabadi16). These data suggest that, from a regional perspective, both under- and overnutrition should be kept in focus for research and programmes.

The countries of the MENA represent a complex socio-geographic region, linked by broad similarities of climate, geography, historical context and cultural values(Reference Ajrouch, Yount and Sibai17). The region consists of high-, middle- and low-income countries. Different definitions of the region have been proposed. Some include the twenty-one members of the Arab League (Algeria, Bahrain, Comoros, Djibouti, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Mauritania, Morocco, Oman, Palestine, Qatar, Saudi Arabia, Somalia, Sudan, Syria, Tunisia, United Arab Emirates and Yemen); some additionally include Israel, Iran and Turkey; broader definitions also include Armenia, Azerbaijan, Cyprus, Georgia, Mauritania and Somalia(1820). Notable defining characteristics among MENA countries include combinations of some of the following: largely Muslim populations; Arab-speaking; being previously part of the Ottoman Empire and later divided by the British and French empires and availability of oil resources(Reference Kandiyoti21Reference Zurayk, Shokamy and Younis23). Some countries in the region have experienced protracted armed conflicts and political unrest, with resulting humanitarian crises and out-migration since World War II(Reference El Achi, Menassa and Sullivan24).

Increases in non-communicable disease mortality between 1991 and 2018 have been documented in some of the countries in the region (Lebanon, Bahrain, Egypt and Tunisia) and may well be occurring in others. These increases have generally been attributed to smoking, diet, physical inactivity and obesity(Reference Aggarwal, Patel and Lewison25). In many countries in the region, public health policy responses to increases in chronic disease prevalence have been slow. Some policies in the region appear discordant with social, economic and political circumstances, for example, food fortification of rice flour in Egypt(Reference Aggarwal, Patel and Lewison25,Reference Herbst, Elshalakani and Kakietek26) . More recent policies in the area have focused on both sides of the malnutrition burden(Reference Herbst, Elshalakani and Kakietek26,Reference Badr, Maktabi and Al-Kandari27) .

This study uses all the nationally representative Demographic and Health Survey (DHS) data from the MENA region over time to provide national and regional estimates of unhealthy weight among young children. DHS data are well suited for comparisons across countries and over time because they use standardised survey instruments and sample designs. We calculate, for children under age 5 years across the region and in each country, current levels of overweight, wasting and overall unhealthy weight and differences in each of these between boys and girls.

Methods

Participants and settings

Data are from the DHS, nationally representative cross-sectional surveys fielded in low- and middle-income countries since 1985 to collect information on the health of women and young children, including direct anthropometric measurements(28). Using the broadest definition of the MENA region from the definitions listed above, DHS data were available for nine of the countries, with twenty-nine surveys administered between 1987 and 2016: Armenia (2000, 2005, 2010, 2015–2016), Azerbaijan (2006), Egypt (1988, 1992, 1995, 2000, 2003, 2005, 2008, 2014), Jordan (1990, 1997, 2002, 2009, 2012), Mauritania (2000-2001), Morocco (1987, 1992, 2004), Tunisia (1990), Turkey (1993, 1998, 2003, 2013) and Yemen (1992, 2013). Data from Afghanistan (2015), Jordan (2007 and 2018) Syria (1989–1990) and Turkey (2008) could not be included because anthropometric data on children were either not collected or deemed unreliable by DHS and not released; data from Turkey (2018) have not yet been released(28,29) .

DHS sample women aged 15–49 years and collect data about them and their children under 5 years living in the same house. DHS utilise a three-stage sampling design with random selection at each stage: the first stage involves selecting subnational clusters, typically drawn from census files(Reference Croft, Marshall and Allen30), the second stage selecting households within the selected clusters the third stage selecting women within the selected households.

This analysis is representative of children under 5 years old in most of the included countries and children under 4 years old in Tunisia in 1990 and Egypt in 1988. Analyses involved two analytic samples. First, we estimated the current burden of under- and overnutrition using the most recent survey in each of the nine countries with available data, resulting in a sample of 56 477 children. Second, we evaluated trends in under- and overnutrition over time in all nine countries, with a sample of 155 961 children.

Measurements and variables

DHS anthropometric data collection and procedures are standardised and have been described elsewhere(31). We evaluated children’s anthropometric measures using the WHO Child Growth Standard(32,33) . We created variables based on these standards for weight-for-height z-score for sex and age. Overweight is set to 1 when the weight-for-height z-score is equal to or more than two sd above the median of the WHO standard(32). Wasting is set to 1 when the weight-for-height z-score is equal to or less than two sd below the median of the WHO standard. Normal weight is set to 1 when the weight-for-height z-score is less than two sd below or less than one sd above the median of the WHO standard. DHS data are pre-cleaned for outliers and biologically implausible values of height and weight; these are flagged and were dropped from analyses(34).

We define unhealthy weight as either wasting or overweight to capture the prevalence of malnutrition across the weight spectrum. Wasting is the most sensitive measure of acute malnutrition, but, in additional analyses, we also evaluated underweight (BMI-for-age z-score ≤ 2 sd below the median) and stunting (height-for-age z-score < 2 sd below the median).

Analysis

Using STATA version 13.0 software (STATA Corp), we conducted analyses for each country and for the region. For country-specific analyses, we used standard DHS survey adjustments to generate nationally representative estimates. To create weights for the entire region, the files for each country were de-normalised, and the sample weight was adjusted for overall population (i.e. all countries pooled together) using the Census Bureau International Programs database(35).

For each country and for the entire region, means were calculated for each variable. To evaluate trends over time in prevalence for the region, we calculated the regional prevalence every 3 years where individuals from any country with data within that 3-year range were included as part of the denominator. Chi-square tests were done to evaluate differences between age, sex and weight categories across the region and within countries. A χ2 Cochran–Armitage linear trend test was used to test for time trends in weight(Reference Agresti36). Trend analyses were done at the regional level to evaluate changes over time in overweight, underweight, stunting and unhealthy weight for children under age 5. Significance was set at P < 0·05.

To gain a better understanding of social patterns of unhealthy weight, we stratified the prevalence of wasting and overweight within each country’s most recent data by mother’s education, a measure of social status and resources, as follows: basic/no education; primary; secondary and higher. Armenia combined primary and secondary into one category and we kept it this way. This variable was not available for Yemen, which was consequently excluded from this analysis.

Results

The survey-adjusted weight status of children under 5 years, by age (0–1, 1–2 and 2–5 years), at the most recent data wave from each country is shown in Table 1. The proportion of children under age 5 years who were classified as wasted ranged between 16·6 % in Yemen (2013) and 1·7 % in Turkey (2013). The proportion of children under age 5 years who were overweight in MENA countries with available data ranged between 15·0 % in Egypt (2014) and 2·0 % in Yemen (2013). Generally, the prevalence of wasting decreased with age; for example, in Yemen, 22·9 % of children aged zero to one year were wasted, but this number fell to 13·1 % for children at 2–5 years. Younger children (0–1 years) had higher wasting prevalence across most countries. Overweight prevalence did not have a clear age pattern.

Table 1 Distribution across weight categories among children under age 5 years in the Middle East and North African region at the most recent year of national data collection (%)

Survey-adjusted estimates based on Demographic and Health Surveys (1988–2016) data for 0–5 years except for Tunisia (0–4 years); sample sizes ranged from 1329 to 9478 based upon the country. Using the WHO child growth standards, wasting defined as weight-for-height age-z-score < –2; overweight defined as weight-for-height z-score ≥ 2; normal weight defined as weight-for-height z-score ≥ –2 and < 1.

While Yemen had a high prevalence of only wasting (16·6 % wasted and only 2·0 % overweight), other countries in the region had both types of unhealthy weight: In Egypt, Armenia and Morocco, the proportion of children who were not in the normal-weight category approached 50 %.

Sex patterns in the prevalence of unhealthy weight are shown in Table 2. Across countries, the prevalence of at least one measure of unhealthy weight was higher for boys than for girls. Morocco had the highest proportion of children either wasted or overweight for both boys (24·6 %) and girls (22·1 %); Jordan had the lowest proportion of unhealthy weight (boys: 8·0 %; girls 6·6 %). Sex differences in unhealthy weight were significant in Mauritania (boys: 19·9 %, girls: 15·5 %, P = 0·03) and Yemen (boys: 20·2 %, girls: 17·0 %, P = 0·04).

Table 2 Distribution across weight categories among boys and girls under age 5 years in the Middle East and North Africa region at the most recent year (%)

Survey-adjusted estimates based on Demographic and Health Surveys (1988–2016) data for 0–5 years except for Tunisia (0–4 years); sample sizes ranged from 1329 to 9478 based upon the country. Using WHO child growth standards, wasting defined as weight-for-height age-z-score < –2; overweight defined as weight-for-height z-score ≥ 2; normal weight defined as weight-for-height z-score ≥ –2 and < 1. Unhealthy weight defined as wasted or overweight; P-values refer to the differences between boys and girls.

Table 3 illustrates trends over time in terms of the proportion of children in each weight category in each country at each timepoint of DHS data collection. Egypt, Morocco and Turkey experienced increases in the prevalence of overweight over time. The prevalence of wasting increased in three countries: Armenia, Egypt and Morocco. Yemen stayed constant in the prevalence of wasting over time and had a decrease in overweight. Egypt had increases in both wasting and overweight between 1988 and 2014 (2·1–8·4 % and 8·4–15·0 %, respectively), resulting in an increase in unhealthy weight from 10·6 % to 23·6 %. Jordan and Turkey are the only countries that experienced a substantial decrease in the prevalence of wasting, with 3·8 % (Turkey – 1993) and 4·0 % (Jordan – 1990) of children being wasted in the early 1990s and about half that number in the 2010s (1·7 % in Turkey – 2013 and 2·4 % in Jordan – 2013).

Table 3 Distribution across weight categories among children under age 5 years in the Middle East and North Africa region over time (%)

Survey-adjusted estimates based on Demographic and Health Surveys (1987–2016) data for 0–5 years except for Tunisia (0–4 years) and Egypt 1988 (0–4 years); sample sizes ranged from 1329 to 12 618 based upon the country. Using WHO child growth standards, wasting defined as weight-for-height age-z-score < –2; overweight defined as weight-for-height z-score ≥ 2; normal weight defined as weight-for-height z-score ≥ –2 and < 1; unhealthy weight defined as children who are wasted or overweight.

The overall trends in the prevalence of wasting (Fig. 1(a)) and overweight (Fig. 1(b)) in children under 5 in the region are shown in Fig. 1. The prevalence of both wasting and overweight increased in the region from 1988 to 2016 (R 2 = 0·489 and 0·468, respectively).

Fig. 1 Prevalence of wasting (a) and overweight (b) among children under age 5 years in the Middle East and North African region over time

Note: Survey-adjusted estimates based on Demographic and Health Survey (1987–2016) data for 0–5 years except for Tunisia (0–4 years) and Egypt 1988 (0–4 years); sample sizes ranged from 1329 to 12 618 based upon the country. Using WHO child growth standards, wasting defined as weight-for-height age-z-score < –2; overweight defined as weight-for-height z-score ≥ 2. Regional estimates based upon the average survey-adjusted prevalence for each range of years. R 2 = 0·489 (a), R 2 = 0·468 (b).

Figure 2 illustrates trends in the prevalence of unhealthy weight in children under 5 in the region with an overall regional trendline. The prevalence of unhealthy weight across the region increased from 10·0 % in 1988 to 18·4 % in 2016 (R 2 = 0·576).

Fig. 2 Prevalence of total unhealthy weight (wasting and overweight) among children under age 5 years in the Middle East and North African region over time

Note: Survey-adjusted estimates based on Demographic and Health Survey (1987–2016) data for 0–5 years except for Tunisia (0–4 years) and Egypt 1988 (0–4 years); sample sizes ranged from 1329 to 12 618 based upon the country. Using WHO child growth standards, wasting defined as weight-for-height age-z-score < –2; overweight defined as weight-for-height z-score ≥ 2; unhealthy weight defined as children who are wasted or overweight. Regional estimates based upon the average survey-adjusted prevalence for each range of years. R 2 = 0·5979.

Figure 3 illustrates social patterning of unhealthy weight in the region in terms of the prevalence of (Fig. 3(a)) wasting and (Fig. 3(b)) overweight in each country at the most recent time point stratified by mother’s education. The prevalence of wasting was highest among children born to mothers with basic or no education in Armenia, Jordan, Mauritania and Morocco and among children born to mothers with primary education in Azerbaijan and Turkey. Wasting was not patterned by mother’s education in Egypt and Tunisia.

Fig. 3 Prevalence of wasting (a) and overweight (b) among children under age 5 years in the Middle East and North African region stratified by mother’s education

Note: Survey-adjusted estimates based on Demographic and Health Surveys (1988–2016) data for 0–5 years except for Tunisia (0–4 years) and Yemen due to missing mother’s education; sample sizes ranged from 1329 to 9478 based upon the country. Armenia’s primary and secondary categories were combined in mother’s education. Using the WHO child growth standards, wasting defined as weight-for-height age-z-score < –2; overweight defined as weight-for-height z-score ≥ 2.

Social patterns in overweight differ in countries across the region: the highest prevalence of overweight was among children born to mothers with basic or no education in Armenia and Azerbaijan but was highest among children born to mothers with higher education in Egypt, Mauritania, Morocco and Turkey and to mothers with secondary education in Tunisia. Overweight was not patterned by mother’s education in Jordan.

In additional analyses, we also evaluated undernutrition in terms of underweight and stunting. The prevalence of underweight in children under age 5 years ranged between 39·2 % in Yemen (2013) and 2·2 % in Turkey (2013) (Table 4). The prevalence of underweight decreased with age, following patterns similar to that of wasting. Sex differences in underweight were significant in Tunisia (boys: 16·5 %, girls: 14·0 % χ2(3) = 10·8, P = 0·020) and Azerbaijan (boys: 18·6 %%, girls: 15·8 %, χ2(3) = 19·2, P = 0·002). The prevalence of stunting was lowest in Jordan (2012) at 8·0 % and highest in Yemen (2013) at 46·5 % (Table 5). Generally, the prevalence of stunting increased with age, except in Armenia and Jordan. The prevalence of stunting was higher for boys than girls in all nine countries, but sex differences were only significant in Jordan (boys: 9·0 %, girls: 6·0 %, P = 0·034). The prevalence of underweight increased over time similarly to the prevalence of wasting (Fig. 4(a)), while the prevalence of stunting in the region considerably declined over time (R 2 = 0·513) (Fig. 4(b)). Figure 5 illustrates trends in the prevalence of unhealthy weight, defined with an alternative measure, specifically underweight and overweight rather than wasting and overweigh. An overall regional trendline for this measure is also provided. Using this measure, the prevalence of unhealthy weight across the region has also increased from 22.1% in 1988 to 25.2 % in 2016 (R 2 = 0·589).

Table 4 Underweight among children under age 5 years in the Middle East and North African region at the most recent year of national data collection (%)

Survey-adjusted estimates based on Demographic and Health Surveys (1988–2014) data for 0–5 years with the exception of Tunisia (0–4 years); sample sizes ranged from 1329 to 9478 based upon the country. Using the World Health Organization child growth reference standards: underweight defined as BMI z-score for age and sex < –2.

Table 5 Stunting among children under age 5 years in the Middle East and North African region at the most recent year of national data collection (%)

Survey-adjusted estimates based on Demographic and Health Surveys (1988–2014) data for 0–5 years with the exception of Tunisia (0–4 years); sample sizes ranged from 1329 to 9478 based upon the country. Using the World Health Organization child growth reference standards: stunting defined as height-for-age-z-score < –2.

Fig. 4 Prevalence of underweight (a) and stunting (b) among children under age 5 years in the Middle East and North African region over time

Note: Survey-adjusted estimates based on Demographic and Health Survey (1987–2016) data for 0–5 years with the exception of Tunisia (0 to 4y) and Egypt 1988 (0–4 years); sample sizes ranged from 1329 to 12 618 based upon the country. Using World Health Organization child growth reference standards: underweight defined as BMI-z-score for age and sex < –2; stunting defined as height-z-score for age and sex < –2. Regional estimates based upon the average survey-adjusted prevalence for each range of years. R 2 = 0·436 (a), R 2 = 0·513 (b).

Fig. 5 Prevalence of unhealthy weight (underweight and overweight) among children under age 5 years in the Middle East and North African region over time

Note: Survey-adjusted estimates based on Demographic and Health Survey (1987–2016) data for 0–5 years with the exception of Tunisia (0–4 years) and Egypt 1988 (0–4 years); sample sizes ranged from 1329 to 12 618 based upon the country. Using World Health Organization child growth reference standards: underweight defined as BMI-z-score for age and sex < –2; overweight defined as BMI-z-score defined as ≥ 2; unhealthy weight defined as children who are underweight or overweight. Regional estimates based upon the average survey-adjusted prevalence for each range of years. R 2 = 0·5982.

Discussion

Among children under the age of 5 years in the MENA region, wasting and overweight represent the double burden of unhealthy weight. Both under- and overnutrition at young ages are of concern, as nutrition and growth patterns during the first years of life may have long-term health implications(Reference Dunger, Salign and Ong37). The prevalence of unhealthy weight among children under the age of 5 years varied across the MENA region at the most recent time point from 7·3 % in Jordan to 18·6 % in Yemen.

Overweight is emerging even during the first 5 years of life in this region. Overweight is accompanied by the continuing presence of wasting in the region, which is highest in Yemen and Mauritania. This phenomenon, in conjunction with rising obesity over time, particularly among women in Egypt, Jordan, Morocco and Turkey, is cause for concern(Reference Mendez, Monteiro and Popkin38). Previously, we showed household-level concordance of malnutrition among mothers and children in MENA countries also using DHS data: 8·6 % of households experienced double burden (one underweight and one overweight among mother and child), 11 % experienced overnutrition (both overweight) and 0·2 % experienced undernutrition (both underweight)(Reference Jones-Antwi and Cunningham39). In the present paper, we add more evidence of increasing overweight among, even among very young children. Even with these increases in overweight, the prevalence of wasting in the region has also increased over time.

Across countries, boys experienced unhealthy weight more often than girls. Overweight was higher in boys than in girls in five out of the nine countries. Higher overnutrition among boys has been observed among older children in other settings, for example, in Pakistan(Reference Ramzan, Ali and Khan40) and Kenya(Reference Ndiku, Jaceldo-Siegl and Singh41). In all countries in this study but Armenia and Jordan, a higher proportion of boys than girls were also underweight, a pattern also reported for this age group across Africa(Reference Garenne42). The slightly higher risk of underweight among boys may be linked with boys’ higher susceptibility to infectious diseases(Reference Ramzan, Ali and Khan40,Reference Garenne42) . If the high demand for nutrients due to boys’ growth trajectories is not met adequately, they can experience more deficits and at younger ages than girls, explaining the link between a child’s sex and wasting(Reference Thurstans, Opondo and Seal43,Reference Alves, Luo and Chow44) .

This study includes a number of limitations. An underlying challenge to our and others’ work is the lack of health surveillance data in the region. The region consists of high-, middle- and low-income countries, but only middle- and low-income countries participate in the DHS, so we did not document the full breadth of the region, excluding high-income countries. This exclusion likely entails that countries with low prevalence of underweight and high prevalence of overweight among young children are excluded; indeed, the countries with the highest obesity prevalence among adults are excluded: Libya, Qatar and Kuwait(8). Even among countries with DHS data, a few countries had data that are already two decades old, providing an outdated picture of population health. Globally, the nutrition transition happens in a nonlinear manner even within countries due to socio-economic, environmental and cultural diversity. We examined social distribution of unhealthy weight by mother’s education, but other social contexts may also be important. We note a substantial decrease in overweight prevalence in Egypt from 2000 to 2003 (17·8–8·9 %) and then back to 13·3 % in 2005. These changes may result from differences in sampling and data collection methods; indeed, 2000 and 2005 were full DHS surveys, whereas 2003 was an Interim DHS subsample.

Research on non-communicable diseases has become a priority only recently in many countries of the MENA region(Reference Yount22,Reference Zurayk, Shokamy and Younis23) . It will be important to have strong surveillance efforts across the region, providing timely, regular and quality data. Indeed, more data are forthcoming in the region. For example, Qatar’s Nation Health Strategy (2018–2022) is aimed at obesity prevention and is developing projects such as the biobank and Active Healthy Kids Report Card(Reference Taheri and Al-Thani45,Reference Al-Kuwari, Ibrahim and Hammadi46) ; Kuwait has programmes focused on overnutrition among children and adolescents(Reference Behbehani47).

Several of the results presented here relate to historical contexts. For example, the high levels of wasting in Yemen are likely due to the fact that the country has struggled with famine for close to a decade. Turkey made a commitment to improving undernutrition among children in the 1990s, which is demonstrated to have been effective by decreases in underweight over time(Reference Pekcan48).

Using over 20 years of nationally representative survey, this study characterises unhealthy weight on both ends of the spectrum – wasting and overweight – in the MENA region. Both under- and overnutrition result from dysregulation of energy balance, and thus, prevention efforts should aim to consider both(49,Reference Prentice50) . Some policies in the region appear discordant with social, economic and political circumstances, for example, food fortification of rice flour in Egypt(Reference Zurayk, Shokamy and Younis23,Reference El Achi, Menassa and Sullivan24) . More recent policies in the area have focused on both sides of the malnutrition burden(Reference El Achi, Menassa and Sullivan24,Reference Aggarwal, Patel and Lewison25) . A recent report of the nutrition landscape in Egypt is a great example of giving a thorough review of past and current interventions and programme(Reference El Achi, Menassa and Sullivan24). The report includes an analysis of interventions that could identify windows of vulnerability to both overweight and underweight, providing an example of a policy programme for both types of unhealthy weight.

This study demonstrates the need to evaluate and develop programmes to address both wasting and overweight among children. These results show increases in overweight and wasting in children under 5 years across the region overall, with considerable variability by country across and among socio-economic groups within countries. Countries in the region must advance programmes that reduce undernutrition while not overlooking or inadvertently promoting overnutrition.

Acknowledgements

We are grateful to Rob O’Reilly at Emory Center for Digital Scholarship for statistical assistance and advice.

Financial support

REJA was supported by the National Heart, Blood, and Lung Institute (NHLBI) Postdoctoral T32 Multidisciplinary Research Training to Reduce Inequities in Cardiovascular Health (grant number 5T32HL130025).

Conflict of interest

There are no conflicts of interest

Authorship

Research concept and design: R.J.-A. and S.A.C.; acquisition of data: R.J.-A.; data analysis and interpretation: R.J-A. and S.A.C.; manuscript draft: R.J.-A. and S.A.C.; statistical expertise: R.J.-A. and S.A.C.; supervision: S.A.C.

Ethics of human subject participation

This study included only de-identified data from publicly available data through the DHS Program: https://www.dhsprogram.com. Each country went through IRB for each survey. Verbal informed consent was sought from all individuals aged 18 years and older and from married minors aged 15–17 years. For children under age 15, consent was obtained from a parent or other adult serving as the child’s caretaker. The signature of the interview and date were written on the consent form as affirmation of verbal consent.

References

Black, RE, Victora, CG, Walker, SP et al. (2013) Maternal and child undernutrition and overweight in low-income and middle-income countries. Lancet 382, 427451.CrossRefGoogle ScholarPubMed
Victora, CG, Adair, L, Fall, C et al. (2008) Maternal and child undernutrition: consequences for adult health and human capital. Lancet 371, 340357.CrossRefGoogle ScholarPubMed
Monteiro, PO & Victora, CG (2005) Rapid growth in infancy and childhood and obesity in later life — a systematic review. Obes Rev 6, 143154.CrossRefGoogle ScholarPubMed
Caulfield, L, de Onis, M, Blössner, M et al. (2004) Undernutrition as an underlying cause of child deaths associated with diarrhea, pneumonia, malaria, and measles. Am J Clin Nutr 80, 193198.CrossRefGoogle ScholarPubMed
World Health Organization (1995) Physical Status: the Use and Interpretation of Anthropometry. WHO Expert Committee Tech Report Series no. 854. Geneva: WHO. pp. 1452.Google Scholar
UNICEF, WHO & World Bank (2012) Levels and Trends in Child Malnutrition. Joint Child Malnutrition Estimates. New York: United Nations International Children’s Fund; Geneva: World Health Organization; Washington, DC: World Bank; available at https://www.who.int/publications/i/item/9789240025257 (accessed March 2021).Google Scholar
De Onis, M, Blössner, M & Borghi, E (2011) Prevalence and trends of stunting among pre-school children, 1990–2020. Public Health Nutr 14, 17.Google Scholar
United Nations Children’s Fund (UNICEF), World Health Organization (WHO) & World Bank (2016) Level and Trends in Malnutrition UNICEF-WHO-World Bank Joint Child Malnutrition Estimate Key Findings of the 2016 Edition. New York; Geneva; Washington, DC: United Nations Children’s Fund (UNICEF); World Health Organization (WHO); World Bank.Google Scholar
Di Cesare, M, Sorić, M, Bovet, P et al. (2019) The epidemiological burden of obesity in childhood: a worldwide epidemic requiring urgent action. BMC Med 17, 212.CrossRefGoogle ScholarPubMed
Ng, M, Fleming, T, Robinson, M et al. (2014) Global, regional and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 384, 766781.CrossRefGoogle ScholarPubMed
Mokdad, AH, Forouzanfar, MH, Daoud, F et al. (2016) Health in times of uncertainty in the eastern Mediterranean region, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet Glob Health 4, e704e713.CrossRefGoogle ScholarPubMed
Benjelloun, S (2002) Nutrition transition in Morocco. Public Health Nutr 5, 135140.CrossRefGoogle ScholarPubMed
Abdulla, F, El-Raouf, MMA, Rahman, A et al. (2023) Prevalence and determinants of wasting among under-5 Egyptian children: application of a quantile regression. Food Sci Nutr 11, 10731083.CrossRefGoogle ScholarPubMed
Bonsu, EO & Addo, IY (2022) Prevalence and correlates of overweight and obesity among under-five children in Egypt. Front Public Health 10, 1067522.CrossRefGoogle Scholar
Karaketir, SG, Lüleci, NE, Eryurt, MA et al. (2023) Overweight and obesity in preschool children in Turkey: a multilevel analysis. J Biosoc Sci 55, 344366.CrossRefGoogle Scholar
Bahreynian, M, Qorbani, M, Khaniabadi, BM et al. (2017) Association between obesity and parental weight status in children and adolescents. J Clin Res Pediatr E 9, 111117.Google ScholarPubMed
Ajrouch, KJ, Yount, KM, Sibai, AM et al. (2012) A Gendered Perspective on Well-Being in Later Life: Algeria, Lebanon and Palestine. Surrey: Ashgate Publishing Ltd.Google Scholar
World Economic Forum (2010) World Economic Forum on the Middle East and North Africa. Marrakech, Morocco: World Economic Forum.Google Scholar
The World Bank World Bank (2015) Definition: MENA. http://www.worldbank.org (accessed January 2015).Google Scholar
Middle East and North Africa Magazine (2016) MENA Magazine, Which Covers Issues in Armenia, Azerbaijan, and Somalia. http://menamagazine.com (accessed July 2017).Google Scholar
Kandiyoti, D (1988) Bargaining with patriarchy. Gender Soc 2, 274290.CrossRefGoogle Scholar
Yount, KM (2001) Excess mortality of girls in the Middle East in the 1970s and 1980s: patterns, correlates and gaps in research. Pop Stud- J Demog 55, 291308.CrossRefGoogle ScholarPubMed
Zurayk, H, Shokamy, H, Younis, N et al. (1997) Women’s health problems in the Arab World: a holistic policy perspective. Int J Gynaecol Obstet 58, 1321.CrossRefGoogle ScholarPubMed
El Achi, N, Menassa, M, Sullivan, R et al. (2020) Ecology of war, health research and knowledge Subjugation: insights from the Middle East and North Africa Region. Ann Glob Health 86, 14.Google Scholar
Aggarwal, A, Patel, P, Lewison, G et al. (2020) The Profile of Non-Communicable Disease (NCD) research in the Middle East and North Africa (MENA) region: analyzing the NCD burden, research outputs and international research collaboration. PLoS One 15, e0232077.CrossRefGoogle ScholarPubMed
Herbst, CH, Elshalakani, A, Kakietek, J et al. (2020) Scaling up Nutrition in the Arab Republic of Egypt. World Bank: International Development in Focus; available at https://www.unicef.org/egypt/media/6931/file/Scaling%20Up%20Nutrition%20in%20the%20Arab%20Republic%20of%20Egypt.pdf (accessed December 2022).Google Scholar
Badr, H, Maktabi, MA, Al-Kandari, M et al. (2019) Review of non-communicable disease research activity in Kuwait: where is the evidence for the best practice? Ann Glob Health 85, 45.CrossRefGoogle ScholarPubMed
DHS (2016) DHS Program. http://dhsprogram.com (accessed January 2016).Google Scholar
Department of Statistics [Jordan] (2008) Macro International Inc. Jordan Population and Family Health Survey 2007. Calverton, MA: Department of Statistics, Macro International Inc; available at https://dhsprogram.com/pubs/pdf/fr209/fr209.pdf (accessed January 2019).Google Scholar
Croft, TN, Marshall, AMJ, Allen, CK et al. (2018) Guide to DHS Statistics. Rockville, MD: ICF; available at https://dhsprogram.com/pubs/pdf/DHSG1/Guide_to_DHS_Statistics_DHS-7.pdf (accessed January 2019).Google Scholar
ICF (2020) Demographic and Health Survey Interviewer’s Manual. Rockville, MD: ICF; available at https://dhsprogram.com/pubs/pdf/DHSM1/DHS8-Interviewer’s-Manual-EN-25Sep2020-DHSM1.pdf (accessed January 2023).Google Scholar
WHO Multicentre Growth Reference Study Group (2006) WHO child growth standards based on length/height, weight and age. Acta Paediatr 450, 7685.Google Scholar
ICF International (2012) Survey Organization Manual for Demographic and Health Surveys. MEASURE DHS. Calverton, MD: ICF International; available at https://dhsprogram.com/pubs/pdf/DHSM10/DHS6_Survey_Org_Manual_7Dec2012_DHSM10.pdf (accessed January 2019).Google Scholar
ICF International. (2012) MEASURE DHS Biomarker Field Manual. Calverton, MD, US: ICF International; available at https://dhsprogram.com/pubs/pdf/dhsm7/dhs6_biomarker_manual_9jan2012.pdf (accessed January 2019).Google Scholar
United States Census Bureau International Data Base (2013) United States Census Bureau. http://www.census.gov/population/international/data/idb/informationGateway.php (accessed March 2019).Google Scholar
Agresti, A (1990) Categorical Data Analysis. New York: John Wiley and Sons.Google Scholar
Dunger, DB, Salign, B & Ong, KK (2007) Early nutrition and later health early developmental pathways of obesity and diabetes risk. P Nutr Soc 66, 451457.CrossRefGoogle ScholarPubMed
Mendez, MA, Monteiro, C & Popkin, BM (2005) Overweight exceeds underweight among women in most developing countries. Am J Clin Nutr 81, 714721.CrossRefGoogle ScholarPubMed
Jones-Antwi, R & Cunningham, SA (2023) Weight patterns among mother-child pairs in the Middle East and North African Region. Ann Epidemiol 77, 6774.CrossRefGoogle ScholarPubMed
Ramzan, M, Ali, I & Khan, AS (2008) Body mass status of school children of Dera Ismail Khan, Pakistan. J Ayub Med Coll Abbottabad 20, 119121.Google ScholarPubMed
Ndiku, M, Jaceldo-Siegl, K, Singh, P et al. (2011) Gender inequality in food intake and nutritional status of children under 5 years old in rural Eastern Kenya. Eur J Clin Nutr 65, 2631.CrossRefGoogle ScholarPubMed
Garenne, M (2003) Sex differences in health indicators among children in African DHS surveys. J Biosoc Sci 35, 601614.CrossRefGoogle ScholarPubMed
Thurstans, S, Opondo, C, Seal, A et al. (2020) Boys are more likely to be undernourished than girls: a systematic review and meta-analysis of sex differences in undernutrition. BMJ Glob Health 5, e004030.CrossRefGoogle ScholarPubMed
Alves, JM, Luo, S, Chow, T et al. (2019) Sex differences in the association between prenatal exposure to maternal obesity and hippocampal volume in children. Brain Behav 10, e01522.CrossRefGoogle Scholar
Taheri, S & Al-Thani, M (2021) Obesity in Qatar: current and future strategies. Lancet Diabetes Endo 9, 561562.CrossRefGoogle ScholarPubMed
Al-Kuwari, MG, Ibrahim, IA, Hammadi, EMA et al. (2016) Results from Qatar’s 2016 active healthy kids report card on physical activity for children and youth. J Phys Act Health 13, S246S250.CrossRefGoogle ScholarPubMed
Behbehani, K (2014) Kuwait National Programme for healthy living: first 5-year plan (2013–2017). Med Princ Pract 23, 3242.CrossRefGoogle ScholarPubMed
Pekcan, G (2006) Food and nutrition policies: what’s being done in Turkey. Public Health Nutr 9, 158162.CrossRefGoogle ScholarPubMed
World Health Organization (2013) Global Action Plan for the Prevention and Control of Non-communicable Diseases ISBN: 978 924 1506236. Geneva: WHO.Google Scholar
Prentice, AM (2018) The double burden of malnutrition in countries passing through the economic transition. Ann Nutr Metab 72, 4754.CrossRefGoogle ScholarPubMed
Figure 0

Table 1 Distribution across weight categories among children under age 5 years in the Middle East and North African region at the most recent year of national data collection (%)

Figure 1

Table 2 Distribution across weight categories among boys and girls under age 5 years in the Middle East and North Africa region at the most recent year (%)

Figure 2

Table 3 Distribution across weight categories among children under age 5 years in the Middle East and North Africa region over time (%)

Figure 3

Fig. 1 Prevalence of wasting (a) and overweight (b) among children under age 5 years in the Middle East and North African region over timeNote: Survey-adjusted estimates based on Demographic and Health Survey (1987–2016) data for 0–5 years except for Tunisia (0–4 years) and Egypt 1988 (0–4 years); sample sizes ranged from 1329 to 12 618 based upon the country. Using WHO child growth standards, wasting defined as weight-for-height age-z-score < –2; overweight defined as weight-for-height z-score ≥ 2. Regional estimates based upon the average survey-adjusted prevalence for each range of years. R2 = 0·489 (a), R2 = 0·468 (b).

Figure 4

Fig. 2 Prevalence of total unhealthy weight (wasting and overweight) among children under age 5 years in the Middle East and North African region over timeNote: Survey-adjusted estimates based on Demographic and Health Survey (1987–2016) data for 0–5 years except for Tunisia (0–4 years) and Egypt 1988 (0–4 years); sample sizes ranged from 1329 to 12 618 based upon the country. Using WHO child growth standards, wasting defined as weight-for-height age-z-score < –2; overweight defined as weight-for-height z-score ≥ 2; unhealthy weight defined as children who are wasted or overweight. Regional estimates based upon the average survey-adjusted prevalence for each range of years. R2 = 0·5979.

Figure 5

Fig. 3 Prevalence of wasting (a) and overweight (b) among children under age 5 years in the Middle East and North African region stratified by mother’s educationNote: Survey-adjusted estimates based on Demographic and Health Surveys (1988–2016) data for 0–5 years except for Tunisia (0–4 years) and Yemen due to missing mother’s education; sample sizes ranged from 1329 to 9478 based upon the country. Armenia’s primary and secondary categories were combined in mother’s education. Using the WHO child growth standards, wasting defined as weight-for-height age-z-score < –2; overweight defined as weight-for-height z-score ≥ 2.

Figure 6

Table 4 Underweight among children under age 5 years in the Middle East and North African region at the most recent year of national data collection (%)

Figure 7

Table 5 Stunting among children under age 5 years in the Middle East and North African region at the most recent year of national data collection (%)

Figure 8

Fig. 4 Prevalence of underweight (a) and stunting (b) among children under age 5 years in the Middle East and North African region over timeNote: Survey-adjusted estimates based on Demographic and Health Survey (1987–2016) data for 0–5 years with the exception of Tunisia (0 to 4y) and Egypt 1988 (0–4 years); sample sizes ranged from 1329 to 12 618 based upon the country. Using World Health Organization child growth reference standards: underweight defined as BMI-z-score for age and sex < –2; stunting defined as height-z-score for age and sex < –2. Regional estimates based upon the average survey-adjusted prevalence for each range of years. R2 = 0·436 (a), R2 = 0·513 (b).

Figure 9

Fig. 5 Prevalence of unhealthy weight (underweight and overweight) among children under age 5 years in the Middle East and North African region over timeNote: Survey-adjusted estimates based on Demographic and Health Survey (1987–2016) data for 0–5 years with the exception of Tunisia (0–4 years) and Egypt 1988 (0–4 years); sample sizes ranged from 1329 to 12 618 based upon the country. Using World Health Organization child growth reference standards: underweight defined as BMI-z-score for age and sex < –2; overweight defined as BMI-z-score defined as ≥ 2; unhealthy weight defined as children who are underweight or overweight. Regional estimates based upon the average survey-adjusted prevalence for each range of years. R2 = 0·5982.