- Research
- Open Access
- Open Peer Review
Poor nutritional status of schoolchildren in urban and peri-urban areas of Ouagadougou (Burkina Faso)
- Charles Daboné1, 2,
- Hélène F Delisle1Email author and
- Olivier Receveur1
https://doi.org/10.1186/1475-2891-10-34
© Daboné et al; licensee BioMed Central Ltd. 2011
- Received: 14 December 2010
- Accepted: 19 April 2011
- Published: 19 April 2011
Abstract
Background
Malnutrition is still highly prevalent in developing countries. Schoolchildren may also be at high nutritional risk, not only under-five children. However, their nutritional status is poorly documented, particularly in urban areas. The paucity of information hinders the development of relevant nutrition programs for schoolchildren. The aim of this study carried out in Ouagadougou was to assess the nutritional status of schoolchildren attending public and private schools.
Methods
The study was carried out to provide baseline data for the implementation and evaluation of the Nutrition Friendly School Initiative of WHO. Six intervention schools and six matched control schools were selected and a sample of 649 schoolchildren (48% boys) aged 7-14 years old from 8 public and 4 private schools were studied. Anthropometric and haemoglobin measurements, along with thyroid palpation, were performed. Serum retinol was measured in a random sub-sample of children (N = 173). WHO criteria were used to assess nutritional status. Chi square and independent t-test were used for proportions and mean comparisons between groups.
Results
Mean age of the children (48% boys) was 11.5 ± 1.2 years. Micronutrient malnutrition was highly prevalent, with 38.7% low serum retinol and 40.4% anaemia. The prevalence of stunting was 8.8% and that of thinness, 13.7%. The prevalence of anaemia (p = 0.001) and vitamin A deficiency (p < 0.001) was significantly higher in public than private schools. Goitre was not detected. Overweight/obesity was low (2.3%) and affected significantly more children in private schools (p = 0.009) and younger children (7-9 y) (p < 0.05). Thinness and stunting were significantly higher in peri-urban compared to urban schools (p < 0.05 and p = 0.004 respectively). Almost 15% of the children presented at least two nutritional deficiencies.
Conclusion
This study shows that malnutrition and micronutrient deficiencies are also widely prevalent in schoolchildren in cities, and it underlines the need for nutrition interventions to target them.
Keywords
- Public School
- Private School
- Urban School
- Micronutrient Deficiency
- Iodine Deficiency Disorder
Background
Despite the economic growth observed in developing countries, malnutrition and particularly undernutrition is still highly prevalent [1]. Concurrently, a growing prevalence of obesity and its related chronic diseases is being observed in these countries [2]. Increasing obesity is already a major concern in developed countries for pre-school children [3] as well as schoolchildren[4]. In developing countries, this rising epidemic along with the persistence of undernutrition and infections typifies the 'Double Burden of Malnutrition' (DBM) [5], which is becoming of great concern for African countries [6]. Indeed, the DBM is a real threat at the population, household and even individual level [7], and it is now observed among schoolchildren [8]. Rural areas of developing countries are generally prioritized as regards nutrition intervention, because undernutrition is more widespread than in urban areas [9]. However, a shift is occurring and children in the cities are at risk of both over-nutrition and undernutrition [10]. Some studies are now highlighting the problem of micronutrient deficiencies in cities [11] and among schoolchildren in particular [12]. Schoolchildren are dramatically affected by anaemia [12], vitamin A deficiency [13] and parasitic infections [14] with adverse impact on their nutritional status [15, 16], as well as on their cognitive development and school performance [17–19]. Unfortunately, the paucity of nutrition information on this vulnerable population makes it difficult to define appropriate intervention strategies. Demographic and Health Surveys (DHS), which provide nutritional status data at national level, do not include schoolchildren [11, 20–23]. Furthermore, the few available data usually pertain to rural schoolchildren so that school nutrition programmes are more likely to be implemented in rural areas than urban [24], as observed in Burkina Faso [25].
Recent surveys at national level in Burkina Faso revealed a high prevalence of malnutrition among rural schoolchildren [26]. The aim of the present study was to assess the nutritional status of schoolchildren attending private and public schools covering both the urban and the peri-urban areas of Ouagadougou (Burkina Faso). We hypothesized that undernutrition and micronutrient malnutrition would be widespread, and that public school pupils, particularly in peri-urban areas, would be most affected.
Methods
Setting
We conducted between October 2008 and March 2009 a cross-sectional study in 12 public and private schools in Ouagadougou, the capital city of Burkina Faso (West Africa). Ouagadougou is located in the Kadiogo province, Central region. The city and its peri-urban areas were covered in this study which was to serve as baseline for the subsequent implementation and evaluation of the Nutrition Friendly School Initiative of WHO and its partners [27].
Population and sample
Anaemia was used to estimate sample size, as it is the number one nutritional problem at school age [28]. Based on an estimated prevalence of 40% in this population [26], 350 children were required in each group (intervention and control) in order to allow for detecting a 10% decline in this prevalence after three years of intervention, with 5% alpha error and 80% power. A total number of 770 subjects were selected to allow for refusals and for incomplete data. Only 5th grade classes were included as pupils had to fill-out a self-administered questionnaire. According to the Ministry of primary education, 60% of pupils at this grade can write and read fluently [29]. For practical reasons, all children of the class were invited to take part in the study. As the mean number of pupils per class is around 60 [29], a total of 12 schools was required. The purposive sample of six "intervention" schools in Ouagadougou was selected with the Ministry of primary education according to specific criteria: committed school staff; public and private schools; urban and peri-urban schools; confessional and non-confessional schools; and schools with a complete primary level of six grades, with at least 40% of girls. The intervention schools included 4 public schools (one in a peri-urban area) and 2 private schools (one confessional), all located in different city neighbourhoods. These six schools were then matched with 6 control schools on the basis of size, location (urban/peri-urban), and type (private/public; confessional/non confessional).
Anthropometric measurements
To assess the nutritional status of pupils, we measured weights and heights according to standard procedures described by WHO [30]. Weight was measured to the nearest 0.1 kg with an electronic scale (SECA 803) with children wearing only light clothing and without shoes. Weight was recorded twice and the mean value was used in the analyses. If the difference between the two measures exceeded 0.2 kg, the child was weighed again. The scale was checked for accuracy with standard weights after about every 200 measures. Individual height was measured with a wooden stadiometer placed on a flat surface. The subject stood on the basal part of the device with feet together (without shoes). The shoulders, the buttocks and the heels had to touch the vertical measuring board. The children standing with their eyes in the Frankfort horizontal plane, the height was measured to the nearest 0.1 cm and recorded twice. Similarly, when the difference between the two measures was higher than 0.5 cm, a third measure was taken and the mean of the two closest values was used in the analyses. Computed Z-scores of Body Mass Index for age (BMIAZ) and height for age (HAZ) were then used to assess thinness/overweight/obesity and stunting, respectively, using the WHO new reference values for school boys and girls [31]. Stunting was defined as HAZ <-2.0, thinness as BMIAZ <-2.0, overweight as BMIAZ >1.0 and obesity as BMIAZ >2.0 [32].
Biological variables
Haemoglobin (Hb) concentration to assess anaemia was measured in all children with the HemoCue® system (HemoCue, Angelholm, Sweden). The technique is recommended by WHO for field surveys because of its comparability with the cyanmethemoglobin method [33]. One drop of capillary blood is carefully collected at the tip of the middle finger with a lancet. The first two drops are discarded and the third one is used to fill the microcuvette, which is then placed in the cuvette holder of the device (HemoCue Hb 201+). The displayed Hb value is then recorded [34]. When the displayed value was lower or equal to 7 g/dl, a second measure was performed and the mean value was recorded for analyses. Age-specfic criteria were used to identify anaemic children: Hb < 11.5 g/dl for children between 7 and 11 years of age, and Hb < 12 g/dl for those aged 12 - 14 years [33].
Vitamin A status was assessed in a random subsample of 208 children (half boys) because of the high cost of the assay. We collected 10 ml of venous blood. After centrifugation at the National Public Health Laboratory (NPHL) of Burkina Faso, the serum samples were analysed in duplicate for retinol with High Performance Liquid Chromatography (HPLC) at the Analytical chemistry laboratory of University of Ouagadougou. The laboratory belongs to a network for quality control of retinol determinations. Low serum retinol indicating vitamin A deficiency (VAD) was defined as < 0.7 μmol/l [35].
Thyroid palpation was performed on all children as a means of assessing iodine deficiency, as described and recommended by WHO to detect goitre in school children [36]. The palpation was performed by a trained medical student in his last year at the Medical School of University of Ouagadougou. The simplified method of grading goitre in three categories was used [36].
Statistical analyses
Data were processed and analysed with SPSS.17 software (SPSS, Inc., Chicago IL). To ensure data quality, data of 30% of the records were entered twice. Chi square and independent t-test were used for proportions and mean comparisons between groups. All the statistical tests in this study were considered significant at P < 0.05.
Ethical considerations
The study was approved by the research ethics committee of the Faculty of Medicine of University of Montreal and the ethics committee of the Ministry of Health of Burkina Faso. The study's objectives and procedures were explained during meetings held in each school. Informed consent forms were given to the children for their parents to sign and were collected one week later. Children whose parents did not accept undertook other activities with the teachers during data collection. The children themselves also had to agree (orally) to take part in the study, and none refused.
Results
Socio-demographic characteristics
Map of Ouagadougou locating the 12 schools included in the study. Star - Intervention schools; Circle - Control schools
Sociodemographic characteristics of study children
Total sample (N = 649) | Sub-sample (N = 173)† | |||||||
---|---|---|---|---|---|---|---|---|
Sociodemographics | Boys (%) | Girls (%) | Total (%) | p** | Boys (%) | Girls (%) | Total | p** |
School type | ||||||||
Public | 219 (47.9) | 238 (52.1) | 457 (70.4) | 60 (49.6) | 61 (50.4) | 121 (69.9) | ||
0.808 | 0.518 | |||||||
Private | 90 (46.9) | 102 (53.1) | 192 (29.6) | 23 (44.2) | 29 (55.8) | 52 (30.1) | ||
School location | ||||||||
Urban area | 259 (47.7) | 284 (52.3) | 543 (83.7) | 69 (47.6) | 76 (52.4) | 145 (83.8) | ||
0.921 | 0.815 | |||||||
Peri-urban area | 50 (47.2) | 56 (52.8) | 106 (16.3) | 14 (50.0) | 14 (50.0) | 28 (16.2) | ||
Age (years) | ||||||||
Mean++ | 11.5 ± 1.2 | 11.5 ± 1.2 | 11.5 ± 1.2 | 0.780* | 11.6 ± 1.3 | 11.6 ± 1.3 | 11.6 ± 1.3 | 0.919* |
7-9 | 31 (49.2) | 32 (50.8) | 63 (9.7) | 10 (58.8) | 7 (41.2) | 17 (9.8) | ||
10-12 | 241 (47.5) | 266 (52.5) | 507 (78.1) | 0.959 | 59 (46.5) | 68 (53.5) | 127 (73.4) | 0.631 |
13-14 | 37 (46.8) | 42 (53.2) | 79 (12.2) | 14 (48.3) | 15 (51.7) | 29 (16.8) | ||
Total | 309 (47.6) | 340 (52.4) | 649 (100) | 83 (48.0) | 90 (52.0) | 173 (100) |
Prevalence of malnutrition
Prevalence of overall and specific malnutrition indicators in schoolchildren in Ouagadougou, Burkina Faso (N = 649). ** p = 0.049 between boys and girls (χ2 test) ++ N = 173
Regarding overall malnutrition, the stunting rate was 8.8%, 8.2% of girls and 9.4% of boys (non-significant p = 0.605). Thinness affected 13.7% of schoolchildren and there was no significant difference between boys (14.2%) and girls (13.2%). There were only four cases of obesity (two boys and two girls), but it was noted that overweight was slightly higher (1.7%) with a significant difference (p < 0.05) between boys (0.6%) and girls (2.6%). Only one child out of the 77 under 10 years of age was underweight (results not shown).
Malnutrition signs in schoolchildren in Ouagadougou
Percentage (Frequency) | ||||
---|---|---|---|---|
Number of signs (N = 649) | Boys | Girls | Total | P value* |
Zero (0) | 42.1 (130) | 43.8 (149) | 43.0 (279) | |
One (1) or more | 57.9 (179) | 56.2 (191) | 57.0 (370) | 0.652 |
Two (2) | 14.2 (44) | 12.1 (41) | 13.1 (85) | 0.411 |
Stunting + Thinness | 1.9 (6) | 0.3 (1) | 1.1 (7) | 0.042 |
Stunting + Anaemia | 3.2 (10) | 3.5 (12) | 3.4 (22) | 0.837 |
Thinness + Anaemia | 6.5 (20) | 5.3 (18) | 5.9 (38) | 0.523 |
Stunting + VAD †† | 3.6 (3) | 5.6 (5) | 4.6 (8) | 0.544 |
Thinness + VAD †† | 3.6 (3) | 2.2 (2) | 2.9 (5) | 0.585 |
Anaemia + VAD †† | 24.1 (20) | 16.7(15) | 20.2 (35) | 0.224 |
Three (3) | 1.9 (6) | 1.2 (4) | 1.5 (10) | 0.429 |
Stunting + Thinness + Anaemia | 1.0 (3) | 0.0 (0) | 0,5 (3) | 0.069 |
Stunting + VAD + Anaemia †† | 1.2 (1) | 4.4 (4) | 2.9 (5) | 0.204 |
Thinness + Anaemia + VAD †† | 2.4 (2) | 0.0 (0) | 1.2 (2) | 0.139 |
Nutritional status of schoolchildren in Ouagadougou according to age
Nutritional status (%) | ||||||
---|---|---|---|---|---|---|
Age (years) | N | Overweight/Obesity | Thinness | Stunting | Anaemia | Vitamin A deficiency †† |
7-9 | 63 | 4 (6.3) | 9 (14.3) | 0 (0.0) | 19 (30.2) | 3 (17.6) |
10-12 | 507 | 11 (2.2) | 64 (12.6) | 42 (8.3) | 207 (40.8) | 55 (43.3) |
13-14 | 79 | 0 (0.0) | 16 (20.3) | 15 (19.0) | 36 (45.6) | 9 (31.0) |
P value* | 0.039 | 0.184 | < 0.001 | 0.160 | 0.081 | |
Total | 649 | 15 (2.3) | 89 (13.7) | 57 (8.8) | 262 (40.4) | 67 (38.7) |
The differences in the prevalence of stunting across age groups were statistically significant (p < 0.001), and so were the differences of overweight/obesity (p < 0.05). Youngest children (7-9 y) did not present with stunting while the older children (13-14 y) were the most affected group with 19.0% prevalence, followed by 10-12 y group (8.3%). Conversely, while older children did not present with overweight/obesity their younger peers (7-9 y) were more affected (6.3%) followed by the 10-12 y group with 2.2% prevalence.
Malnutrition of schoolchildren in Ouagadougou according to school characteristics
Nutritional status (%) | ||||||
---|---|---|---|---|---|---|
School characteristics | N | Overweight/obesity | Thinness | Stunting | Anaemia | Vitamin A deficiency†† |
School type | ||||||
Public schools | 457 | 6 (1.3) | 64 (14.0) | 44 (9.6) | 204 (44.6) | 64 (52.9) |
Private schools | 192 | 9 (4.7) | 25 (13.0) | 13 (6.8) | 58 (30.2) | 3 (5.8) |
P value* | 0.009 | 0.740 | 0.241 | 0.001 | < 0.001 | |
School location | ||||||
Urban schools | 543 | 15 (2.8) | 68 (12.5) | 40 (7.4) | 221 (40.7) | 52 (35.9) |
Peri-urban schools | 106 | 0 (0.0) | 21 (19.8) | 17 (16.0) | 41 (38.7) | 15 (53.6) |
P value* | 0.083 | 0.046 | 0.004 | 0.698 | 0.078 | |
Total | 649 | 15 (2.3) | 89 (13.7) | 57 (8.8) | 262 (40.4) | 67 (38.7) |
As depicted in table 4 stunting (16.0%) and thinness (19.8%) were significantly higher in peri-urban than urban schools (p = 0.004 and p < 0.05 respectively). VAD tended to be more widespread and overweight/obesity lower in the peri-urban schools than in the urban schools.
Discussion
The present study showed that malnutrition, whether undernutrition or micronutrient deficiencies, was highly prevalent at school age in urban areas. Almost 60% of the children examined had at least one sign of malnutrition and roughly 15% had at least two such indicators. Of particular concern, more than 40% of the subjects were anaemic and roughly the same percentage were vitamin A deficient. We verified that there was no significant difference in the prevalence of micronutrient malnutrition in the retained subjects compared to the 135 children excluded because their birth date was unknown (p = 0.133 and p = 0.183 for VAD and anaemia, respectively: data not shown). These high rates in children (mean age 11.5 ± 1.2 years) are similar to those of the national study of schoolchildren in Burkina Faso, whose mean age was 9.7 ± 5.8 years [26]. In this study where rural schoolchildren were predominant, 40.5% were vitamin A deficient and 43.7% were anaemic. Similarly, in the baseline study of the red palm oil project in selected primary schools of two zones of Burkina Faso (out of the Central region, where Ouagadougou is located), more than 40% of the children were vitamin A deficient [40]. A high prevalence of micronutrient malnutrition at school age is not uncommon in developing countries [12]. In northern Ethiopia, the prevalence of VAD was 51.1% in a study conducted in 1997 in 824 pupils aged 6-9 years [41]. In a report on six African and two Asian countries, 40.2% of children aged 7-11 years and 54.4% of those aged 12-14 years were anaemic [12]. A similar increasing trend of anaemia with age is observed in the current study (table 3).
We also found that 13.7% of the children were thin, which is higher than the 8% prevalence previously reported for Burkina Faso schoolchildren outside the capital city of Ouagadougou [26]. Thinness, or wasting, usually describes acute malnutrition. Our study was conducted between late 2008 and early 2009, that is, during the global economic and food crisis that hit developing countries so hard [42] and which was responsible for reduced access to food particularly among vulnerable populations [43]. We observed that several schoolchildren stayed at school during lunchtime, but did not have pocket money to buy any street food, or did not have enough to eat an adequate meal. This may have played a role in the observed prevalence of thinness in schoolchildren of Ouagadougou. Notwithstanding, this level is far lower than that reported by the Partnership for Child Development (PCD) in schoolchildren of developing countries ten years ago [44].
The prevalence of stunting in our study was lower than in the recent national study of schoolchildren in Burkina Faso (8.8% vs 12%) [26], as well as in a nationwide survey in Chad (18.7%) in a sample of schoolchildren aged between 6 and 15 years [45]. Stunting is an indicator of chronic malnutrition, and at school age, it may reflect malnutrition during the first years of life [1]. Growth deficit tends to accumulate with age and particularly in boys, as observed in our study and in other studies of school-children in developing countries [44]. The higher rate of stunting among older children, depicting an increasing vulnerability with age may also reflect some improvement of food and health conditions over recent years since most of the growth deficit or catch-up takes place before the age of 24 months [46]. Except for overweight/obesity and anaemia, a higher proportion of boys than girls showed signs of malnutrition, as previously reported for stunting and wasting [44], and for VAD [41]. A metanalysis of data from 16 demographic and health surveys conducted in 10 sub-Saharan countries [23] revealed that boys were more stunted than girls, and speculated on the role of cultural factors or natural selection [23].
Although malnutrition still appears as a priority problem, overweight/obesity should not be overlooked right at school age, as we detected a higher prevalence trend in the youngest group of children. At variance with our study, a much lower prevalence of obesity was reported in 2001 (0.26% vs 0.60%) in an adolescent population of Ouagadougou (mean age 13.8 y) [47]. However, both studies are consistent in the significantly higher prevalence of overweight observed in girls compared with boys (Figure 2).
It was clearly apparent in our study that private school-children enjoyed a better nutritional status than those attending public schools, with anaemia and VAD significantly higher in the latter (30% vs 45% and 6% vs 53% respectively). However, it is of note that overweight/obesity was also significantly higher in private than public schools, which is in accordance with previous reports in other developing country schoolchildren [48]. Socio-economic disparities likely underlie these differences [48]. We did not examine the socio-economic conditions of the individual children, but mere differences in school registration fees are convincing: US $ 60 in private schools compared with only US $ 4 in public schools. Nevertheless, it is surprising that thinness was as common in private as in public schools in our study (13.0% and 14.0%, respectively). There is no obvious explanation for this high rate of thinness even in private school children.
As could be expected, stunting and thinness were significantly higher in peri-urban than urban schools, and VAD also tended to be higher in the former than latter schools (table 4). Poverty and low maternal education are among the determinants of child malnutrition [49]. It is also known that the prevalence of malnutrition is higher in rural than urban areas, particularly stunting [9], which reflects poor socio-economic status as the community level. It is therefore not surprising to find a higher percentage of malnourished children in peri-urban areas, where people are poorer, and where schools also draw their pupils from the surrounding villages. Anaemia was observed in roughly the same proportion of urban and peri-urban schoolchildren (around 40%). This confirms that anaemia is the most widespread malnutrition problem in schoolchildren in developing countries [28].
While iron deficiency is the main factor of anaemia [50], it is not the only one, and infection plays a major role [15, 51], notably malaria and hookworms in African school-children [14]. In Ouagadougou, for instance, the prevalence of malaria (41.4%) tended to be the highest in children aged 5-14 years, who were also at the highest risk of infection compared to infants and adults [52]. Other micronutrient deficiencies may also be involved in the aetiology of anaemia [53]. The "top three" micronutrient deficiencies are iron deficiency, VAD and Iodine Deficiency Disorders (IDD) [28]. The high prevalence of anaemia could be a great threat for school-children, particularly since it was combined with VAD in one out of five children (20.2%) in our study. Indeed iron deficiency and VAD are interrelated [54–56]. In contrast, we detected no goitre using the palpation method recommended by WHO [36], which likely reflects the effectiveness of the salt iodization strategy of the past several decades [57].
To our knowledge, this nutrition study is the first of its kind among city schoolchildren of West Africa. Although the schools were not randomly selected, they represent a broad array of features: public and private, confessional and non-confessional, as well as urban and peri-urban schools. Furthermore, sample size was large enough and in a narrow age-range. However, because of these study features, the results cannot be extrapolated.
School nutrition and feeding programs are usually directed at rural areas [25]. Furthermore, under-five children are the priority target group for strategies and actions to fight malnutrition. There is an urgent need to address nutrition problems among schoolchildren in developing countries, without neglecting urban areas, considering that malnutrition can impair their performance while in school and their productivity later on in life [58].
Conclusion
Based on our findings, it appears that undernutrition and micronutrient deficiencies are prominent even in urban schoolchildren. Overweight/obesity is still uncommon but it is appearing in private schools and amongst younger children. It may be concluded that the nutrition transition characterized by shifts in dietary habits and lifestyles with resulting increases in the prevalence of obesity and co-morbidity is still in its early stages in the area of the study. The high prevalence of VAD and anaemia and their frequent combination [59] should be of concern and underlines the compelling need for corrective and preventive measures in urban schools, which should no longer be neglected in favour of rural areas.
Declarations
Acknowledgements
The authors express their thanks to the Canadian International Development Agency (CIDA) which provided funding for this study through the "Programme Canadien des Bourses de la Francophonie" and "Projet Double Fardeau Nutritionnel". They also thank the "Laboratoire National de Santé Publique" and Helen Keller International of Burkina Faso. Sincere thanks are addressed to schools visited, particularly, school principals and staff, children and their parents.
Authors’ Affiliations
References
- Muller O, Krawinkel M: Malnutrition and health in developing countries. Cmaj. 2005, 173 (3): 279-286.View ArticlePubMedPubMed CentralGoogle Scholar
- Prentice AM: The emerging epidemic of obesity in developing countries. Int J Epidemiol. 2006, 35 (1): 93-99. 10.1093/ije/dyi272.View ArticlePubMedGoogle Scholar
- Cattaneo A, Monasta L, Stamatakis E, Lioret S, Castetbon K, Frenken F, Manios Y, Moschonis G, Savva S, Zaborskis A, Rito AI, Nanu M, Vignerova J, Caroli M, Ludvigsson J, Koch FS, Serra-Majem L, Szponar L, van Lenthe F, Brug J: Overweight and obesity in infants and pre-school children in the European Union: a review of existing data. Obes Rev. 2010, 11 (5): 389-398. 10.1111/j.1467-789X.2009.00639.x.View ArticlePubMedGoogle Scholar
- Bertoncello C, Cazzaro R, Ferraresso A, Mazzer R, Moretti G: Prevalence of overweight and obesity among school-aged children in urban, rural and mountain areas of the Veneto Region, Italy. Public Health Nutr. 2008, 11 (9): 887-890. 10.1017/S1368980007001152.View ArticlePubMedGoogle Scholar
- FAO: The double burden of malnutrition: Case studies from six developing countries. FAO Food and nutrition paper No84, Rome. 2006Google Scholar
- Thiam I, Samba K, Lwanga D: Diet related chronic disease in the West Africa Region. in Diet-related chronic diseases and the double burden of malnutrition in West Africa. SCN News. 2006, 33: 6-10.Google Scholar
- Delisle HF: Poverty: the double burden of malnutrition in mothers and the intergenerational impact. Ann N Y Acad Sci. 2008, 1136: 172-184. 10.1196/annals.1425.026.View ArticlePubMedGoogle Scholar
- Fernald LC, Neufeld LM: Overweight with concurrent stunting in very young children from rural Mexico: prevalence and associated factors. Eur J Clin Nutr. 2007, 61 (5): 623-632.PubMedGoogle Scholar
- Oninla SO, Owa JA, Onayade AA, Taiwo O: Comparative study of nutritional status of urban and rural Nigerian school children. J Trop Pediatr. 2007, 53 (1): 39-43. 10.1093/tropej/fml051.View ArticlePubMedGoogle Scholar
- McMichael AJ: The urban environment and health in a world of increasing globalization: issues for developing countries. Bull World Health Organ. 2000, 78 (9): 1117-1126.PubMedPubMed CentralGoogle Scholar
- Fotso JC: Urban-rural differentials in child malnutrition: trends and socioeconomic correlates in sub-Saharan Africa. Health Place. 2007, 13 (1): 205-223. 10.1016/j.healthplace.2006.01.004.View ArticlePubMedGoogle Scholar
- Hall A, Bobrow E, Brooker S, Jukes M, Nokes K, Lambo J, Guyatt H, Bundy D, Adjei S, Wen ST, Subagio H, Rafiluddin MZ, Miguel T, Moulin S, de Graft Johnson J, Mukaka M, Roschnik N, Sacko M, Zacher A, Mahumane B, Kihamia C, Mwanri L, Tatala S, Lwambo N, Siza J, Khanh LN, Khoi HH, Toan ND: Anaemia in schoolchildren in eight countries in Africa and Asia. Public Health Nutr. 2001, 4 (3): 749-756. 10.1079/PHN2000111.View ArticlePubMedGoogle Scholar
- Singh V, West KP: Vitamin A deficiency and xerophthalmia among school-aged children in Southeastern Asia. Eur J Clin Nutr. 2004, 58 (10): 1342-1349. 10.1038/sj.ejcn.1601973.View ArticlePubMedGoogle Scholar
- Brooker S, Clements AC, Hotez PJ, Hay SI, Tatem AJ, Bundy DA, Snow RW: The co-distribution of Plasmodium falciparum and hookworm among African schoolchildren. Malar J. 2006, 5: 99-10.1186/1475-2875-5-99.View ArticlePubMedPubMed CentralGoogle Scholar
- Awasthi S, Bundy D: Intestinal nematode infection and anaemia in developing countries. Bmj. 2007, 334 (7603): 1065-1066. 10.1136/bmj.39211.572905.80.View ArticlePubMedPubMed CentralGoogle Scholar
- Casapia M, Joseph SA, Nunez C, Rahme E, Gyorkos TW: Parasite risk factors for stunting in grade 5 students in a community of extreme poverty in Peru. Int J Parasitol. 2006, 36 (7): 741-747. 10.1016/j.ijpara.2006.03.004.View ArticlePubMedGoogle Scholar
- Pollitt E: Early iron deficiency anemia and later mental retardation. Am J Clin Nutr. 1999, 69 (1): 4-5.PubMedGoogle Scholar
- Singh M: Role of micronutrients for physical growth and mental development. Indian J Pediatr. 2004, 71 (1): 59-62. 10.1007/BF02725658.View ArticlePubMedGoogle Scholar
- Florence MD, Asbridge M, Veugelers PJ: Diet quality and academic performance. J Sch Health. 2008, 78 (4): 209-215. 10.1111/j.1746-1561.2008.00288.x. quiz 239-241View ArticlePubMedGoogle Scholar
- INSD: Enquête Démographique et de Santé (EDS) 1993. Institut National de la statistique et de la démographie, Ouagadougou-Burkina-Faso. 1994Google Scholar
- INSD: Enquête Démographique et de Santé (EDS) 1998. Institut National de la statistique et de la démographie, Ouagadougou-Burkina-Faso. 1999Google Scholar
- INSD: Enquête Démographique et de Santé (EDS) 2003. Institut National de la statistique et de la démographie, Ouagadougou-Burkina-Faso. 2004Google Scholar
- Wamani H, Astrom AN, Peterson S, Tumwine JK, Tylleskar T: Boys are more stunted than girls in sub-Saharan Africa: a meta-analysis of 16 demographic and health surveys. BMC Pediatr. 2007, 7: 17-10.1186/1471-2431-7-17.View ArticlePubMedPubMed CentralGoogle Scholar
- Bundy D, Burbano C, Grosh M, Gelli A, Jukes M, Drake L: Rethinking School Feeding: Social Safety Nets, Child Development, and the Education Sector. The World Bank. 2009Google Scholar
- Kazianga H, Walque D, Alderman H: Educational and Health Impact of Two School Feeding Schemes: Evidence from a Randomized Trial in Rural Burkina Faso. Policy Research Working Paper Series, The World Bank. 2009, 4976:Google Scholar
- MEBA: Enquête de base du projet de santé et nutrition scoliare- Rapport présenté par Helen Keller International (HKI). Ministère de l'Enseignement de Base et de l'Alphabétisation-Burkina Faso. 2007, 31-Google Scholar
- WHO: Nutrition-Friendly Schools Initiative (NFSI). [http://www.who.int/nutrition/topics/nutrition_friendly_schools_initiative/en/]
- Ramakrishnan U: Prevalence of micronutrient malnutrition worldwide. Nutr Rev. 2002, 60 (5 Pt 2): S46-52. 10.1301/00296640260130731.PubMedGoogle Scholar
- DEP/MEBA: Synthèse des données statistiques de l'éducation de base 2006-2007. BURKINA FASO- Ministère de l'Enseignement de Base et de l'Alphabétisation/Direction des Etudes et de la planification. 2007Google Scholar
- OMS: Utilisation et interpretation de l'anthropométrie. Rapport d'un comité OMS d'experts. Serie de rapports techniques 854. 1995Google Scholar
- De Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J: Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007, 85 (9): 660-667. 10.2471/BLT.07.043497.View ArticlePubMedPubMed CentralGoogle Scholar
- WHO: WHO Reference 2007. SPSS macro package. 2008Google Scholar
- WHO: Iron Deficiency Anemia; Assessment, Prevention, and Control. A guide for programme managers. WHO/NHD/013. 2001Google Scholar
- HemoCue AB: La mesure précise de du taux d'hémoglobine, n'importe quand, n'importe où. [http://www.hemocue.com/]
- WHO: Indicators for assessing Vitamin A Deficiency and their application in monitoring and evaluating intervention programmes. WHO/NUT/9610. 1996Google Scholar
- WHO: Assessment of Iodine Deficiency Disorders and Monitoring their Elimination. A guide for programme managers. WHO/NHD/011. 2001, SecondGoogle Scholar
- Rah JH, Shamim AA, Arju UT, Labrique AB, Rashid M, Christian P: Age of onset, nutritional determinants, and seasonal variations in menarche in rural Bangladesh. J Health Popul Nutr. 2009, 27 (6): 802-807.PubMedPubMed CentralGoogle Scholar
- Garnier D, Simondon KB, Benefice E: Longitudinal estimates of puberty timing in Senegalese adolescent girls. Am J Hum Biol. 2005, 17 (6): 718-730. 10.1002/ajhb.20435.View ArticlePubMedGoogle Scholar
- Simondon KB, Simondon F, Simon I, Diallo A, Benefice E, Traissac P, Maire B: Preschool stunting, age at menarche and adolescent height: a longitudinal study in rural Senegal. Eur J Clin Nutr. 1998, 52 (6): 412-418. 10.1038/sj.ejcn.1600577.View ArticlePubMedGoogle Scholar
- Zeba AN, Prevel YM, Some IT, Delisle HF: The positive impact of red palm oil in school meals on vitamin A status: study in Burkina Faso. Nutr J. 2006, 5: 17-10.1186/1475-2891-5-17.View ArticlePubMedPubMed CentralGoogle Scholar
- Kassaye T, Receveur O, Johns T, Becklake MR: Prevalence of vitamin A deficiency in children aged 6-9 years in Wukro, northern Ethiopia. Bull World Health Organ. 2001, 79 (5): 415-422.PubMedPubMed CentralGoogle Scholar
- de Pee S, Brinkman HJ, Webb P, Godfrey S, Darnton-Hill I, Alderman H, Semba RD, Piwoz E, Bloem MW: How to ensure nutrition security in the global economic crisis to protect and enhance development of young children and our common future. J Nutr. 2010, 140 (1): 138S-142S. 10.3945/jn.109.112151.View ArticlePubMedGoogle Scholar
- Bloem MW, Semba RD, Kraemer K: Castel Gandolfo workshop: an introduction to the impact of climate change, the economic crisis, and the increase in the food prices on malnutrition. J Nutr. 2010, 140 (1): 132S-135S. 10.3945/jn.109.112094.View ArticlePubMedGoogle Scholar
- PCD: The anthropometric status of schoolchildren in five countries in the partnership for child development. Proc Nutr Soc. 1998, 57 (1): 149-158. 10.1079/PNS19980021.View ArticleGoogle Scholar
- Beasley M, Brooker S, Ndinaromtan M, Madjiouroum EM, Baboguel M, Djenguinabe E, Bundy DA: First nationwide survey of the health of schoolchildren in Chad. Trop Med Int Health. 2002, 7 (7): 625-630. 10.1046/j.1365-3156.2002.00900.x.View ArticlePubMedGoogle Scholar
- Begin F, Habicht JP, Frongillo EA, Delisle H: The deterioration in children's nutritional status in rural Chad: the effect of mothers' influence on feeding. Am J Public Health. 1997, 87 (8): 1356-1359. 10.2105/AJPH.87.8.1356.View ArticlePubMedPubMed CentralGoogle Scholar
- Ye D, Drabo YJ, Ouedraogo D, Sawadogo A: [Weight profile of school age children in Ouagadougou (Burkina Faso)]. Arch Pediatr. 2003, 10 (7): 652-653. 10.1016/S0929-693X(03)00291-4.View ArticlePubMedGoogle Scholar
- Groeneveld IF, Solomons NW, Doak CM: Nutritional status of urban schoolchildren of high and low socioeconomic status in Quetzaltenango, Guatemala. Rev Panam Salud Publica. 2007, 22 (3): 169-177. 10.1590/S1020-49892007000800003.View ArticlePubMedGoogle Scholar
- Delpeuch F, Traissac P, Martin-Prevel Y, Massamba JP, Maire B: Economic crisis and malnutrition: socioeconomic determinants of anthropometric status of preschool children and their mothers in an African urban area. Public Health Nutr. 2000, 3 (1): 39-47. 10.1017/S1368980000000069.View ArticlePubMedGoogle Scholar
- WHO/UNICEF: Focusing on anaemia: towards an integrated approach for effective anaemia control. 2004, [http://motherchildnutrition.org/nutrition-protection-promotion/pdf/mcn-focusing-on-anaemia.pdf]Google Scholar
- Bhargava A, Jukes M, Lambo J, Kihamia CM, Lorri W, Nokes C, Drake L, Bundy D: Anthelmintic treatment improves the hemoglobin and serum ferritin concentrations of Tanzanian schoolchildren. Food Nutr Bull. 2003, 24 (4): 332-342.View ArticlePubMedGoogle Scholar
- Wang SJ, Lengeler C, Smith TA, Vounatsou P, Diadie DA, Pritroipa X, Convelbo N, Kientga M, Tanner M: Rapid urban malaria appraisal (RUMA) I: epidemiology of urban malaria in Ouagadougou. Malar J. 2005, 4: 43-10.1186/1475-2875-4-43.View ArticlePubMedPubMed CentralGoogle Scholar
- Semba RD, Bloem MW: The anemia of vitamin A deficiency: epidemiology and pathogenesis. Eur J Clin Nutr. 2002, 56 (4): 271-281. 10.1038/sj.ejcn.1601320.View ArticlePubMedGoogle Scholar
- Mehdad A, Siqueira EM, Arruda SF: Effect of vitamin a deficiency on iron bioavailability. Ann Nutr Metab. 2010, 57 (1): 35-39. 10.1159/000315528.View ArticlePubMedGoogle Scholar
- Mwanri L, Worsley A, Ryan P, Masika J: Supplemental vitamin A improves anemia and growth in anemic school children in Tanzania. J Nutr. 2000, 130 (11): 2691-2696.PubMedGoogle Scholar
- Maramag CC, Ribaya-Mercado JD, Rayco-Solon P, Solon JA, Tengco LW, Blumberg JB, Solon FS: Influence of carotene-rich vegetable meals on the prevalence of anaemia and iron deficiency in Filipino schoolchildren. Eur J Clin Nutr. 2010, 64 (5): 468-474. 10.1038/ejcn.2010.23.View ArticlePubMedGoogle Scholar
- WHO: Salt as a vehicle for fortification. Report of a WHO expert consultation, Luxembourg 21-22 march. 2007Google Scholar
- Fanjiang G, Kleinman RE: Nutrition and performance in children. Curr Opin Clin Nutr Metab Care. 2007, 10 (3): 342-347. 10.1097/MCO.0b013e3280523a9e.View ArticlePubMedGoogle Scholar
- Ahmed F, Khan MR, Banu CP, Qazi MR, Akhtaruzzaman M: The coexistence of other micronutrient deficiencies in anaemic adolescent schoolgirls in rural Bangladesh. Eur J Clin Nutr. 2008, 62 (3): 365-372. 10.1038/sj.ejcn.1602697.View ArticlePubMedGoogle Scholar
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