DOI: https://doi.org/10.21203/rs.3.rs-36933/v1
Background: Despite the numerous efforts to improve the nutritional status of children, a high prevalence of malnutrition still exists in South Africa. This study aimed to determine the nutritional status of children attending Early Child Development centres in South Africa.
Methods: In this baseline study, we randomly selected two Early Child Development centres comprising of 116 children aged 24–60 months, separated into two cohorts, 24–47 and 48–60 months from the Valley of a Thousand Hills area in the Ethekweni municipality. Dietary intake was measured through the 24hDR and analysed using Food Finder software. The food frequency questionnaire was used to calculate the food variety and food group diversity scores. Anthropometric measurements; weight and height were taken and the WHO Anthro software was used to convert it to nutritional data indices. Vitamin A and haemoglobin levels were collected through dry blood spot cards and assessed using WHO indicators.
Results: The findings showed that participants had a low mean energy intake (24–47 months; 4906.2kJ and 4997.9kJ, 48–60 months; 5936.4kJ and 5621.2kJ (p = 0.038), low fruit and vegetable consumption (24–47 months; 63.8g and 69.5g (p = 0.037), 48–60 months; 68.3g and 74.4g (p = 0.038) and the top five foods consumed were carbohydrate rich foods for girls and boys respectively. Stunting was noted in 7% and 20% (48–60 months) (p = 0.012) and overweight in 8% and 17% (24–47 months) and 17% and 13 % (48–60 months) (p = 0.041) in girls and boys respectively. Low serum retinol levels (<0.070µmol/L) were found in 9.1% of boys (24–47 months), 8% and 7.4% of girls and boys (48–60 months). Low haemoglobin levels (<11.0 g/dL) were found in 50.0% and 30.4% (24–47 months) and 8.6% and 39.3% (48–60 months) of girls and boys respectively.
Conclusion and recommendation: Malnutrition, despite many national and provincial initiatives, still exists at Early Childhood Development centres in South Africa calling for the application of contextualized nutrition interventions to suite resource-poor settings.
Early childhood period is the most crucial developmental phase in life, and thus, the ultimate aim is for all children to be free of malnutrition in all forms. The six global targets set by the World Health Assembly in 2012 included a 40% reduction in the number of stunted children by 2025, no increase in childhood overweight and maintenance of the prevalence of wasting to less than 5% (1). The global agenda to improve nutrition by 2030 aims to end all forms of malnutrition, reduce stunting by 50% and childhood overweight and wasting to less than 3% (2). Globally in 2018, 821.6 million people were undernourished, of which 256.1 million were from Africa. Moreover, 9.2% of people worldwide experienced hunger and Africa accounted for the highest percentage (21.5%) of people experiencing severe food insecurity (3).
It has been well established that stunting is the devastating result of poor nutrition in-utero and early childhood. Even though progress has been made in various regions to reduce stunting, almost 149 million children below five years are stunted (3). As the emerging face of childhood malnutrition moves towards overweight and obesity, the prevalence of overweight in children under five have increased dramatically with 40.1 million as overweight (3). While wasting in children is seen as the life-threatening result of sub-optimal nutrient intake and/or disease, in 2019, wasting was prevalent among 49.5 million children (3).
Among South African children, despite numerous efforts to improve the nutritional status of children, stunting is the most common nutritional disorder similar to global trends in undernutrition (4). Additionally, the South African National Health and Nutrition Examination Survey (SANHANES-1) showed that 43.6% of children under five years had vitamin A deficiency and 10.7% had anaemia in 2013; however a marked reduction of the prevalence of anaemia was noted from 2005 onwards (5). Good nutrition in the first 1000 days allows children to survive, grow, develop, learn, play, participate and contribute to society. Notable among gaps in the achievement in the nutritional status of children in South Africa lies the potential to introduce contextualised interventions through a syndemic approach involving the interacting nature of nutritional status and the social and environmental factors that promote their negative relationship (6).
Interventions to improve the health and nutritional status of children need to be implemented as early as possible, to reduce the effects of malnutrition on growth and development of young children. The Department of Social Development (DSD) identified Early Childhood Development (ECD) centres as an ideal platform for implementing strategies aimed at reducing poverty in children below five years of age in South Africa. ECD centres are facilities designed to provide early childhood development services and programmes that include good health, proper nutrition and early learning through a holistic approach in promoting a healthy environment that is conducive for learning and development (7). ECD’s in South Africa are non-profit organizations that are funded by the department of social development and the department of education(8). There were approximately 79 950 ECD centres in 2011 in South Africa and in KwaZulu-Natal (KZN) 84 749 children between 0–60 months were enrolled in ECD centres (9). Given the strong subscription of ECDs in South Africa, ECDs are the perfect platform to continue support for the first 1000 days of life. The arguments in favour of promoting the development of children at a very young age are clear and compelling. Against this backdrop, the study aims to determine the nutritional status of 24–60 months old children attending ECD centres in South Africa for the purposes of planning robust and contextualised nutritional interventions suite resource-poor settings.
This study formed part of a randomised control trial, of which the baseline results for the entire group is presented in this paper. Simple random sampling techniques were used to select two ECD centres from a list of ECD centres in the Valley of a Thousand Hills in Durban. The Valley of Thousand Hills is a semi-rural area located 40 km from Durban in KZN, South Africa. The population size of the area where the study was conducted was 815 (33.70 per km²)(10). The study sample consisted of 116 children between the ages of 24–60 months separated into two cohorts (24–47 and 48–60 months).
Dietary intake data was measured using a validated 24hr dietary recall questionnaire (administered three times) and a Food Frequency Questionnaire (FFQ) (11). Trained fieldworkers administered the questionnaires to the parent or caregiver of the child. Food samples were used to aid portion size identification.
Anthropometric measurements including height (up to the nearest 1 mm using the SECA stadiometer) and weight (up to the nearest gram using the SECA weighing scale, calibrated before weighing session) were taken using WHO standard indicators to assess wasting, stunting, underweight, overweight and obesity (12). All measurements were recorded twice using standardised prescribed anthropometric measurement procedures (12).
Using the finger-prick method, blood samples (50 ul) were collected, and dried blood spots (DBS) were prepared by trained health professionals to determine biochemical indicators of vitamin A and haemoglobin (Hb) levels of the participants. The participants washed their hands and rubbed them together to generate warmth to promote blood circulation. A pea-size amount of a topical anaesthetic cream was applied to the fingertip 20 minutes before pricking. The fingertip was after that pricked with a sterile retractable lancet and blood drops were allowed to fall freely inside the pre-printed circles on labelled DBS cards. The DBS cards were then placed in drying racks and left to dry at room temperature. All safety protocol for blood collection was observed (13). After drying, the DBS cards were placed inside Ziploc plastic bags from the DBS collection kit, and a desiccant sachet was placed inside the cooler boxes and transported to the laboratory in a temperature-controlled environment. The samples were thereafter stored at -80ºC until analysis (13). Biochemical indicators of vitamin A were assessed using High Performance Liquid Chromatography (HPLC) and vitamin A levels < .070 µmol/L was considered as vitamin A deficiency (14). Haemoglobin levels were measured using a haemoglobin meter and compared to prescribed cut-offs (< 11.0 g/dL) for iron deficiency for age the group (15).
Data from the 24hDR was captured and analysed using Food Finder Software (version 3) to determine mean nutrient intake and the top ten foods consumed (16). The nutrient intake was compared to the Estimated Average Requirements (EAR) and AI for the age group 24–47 months and 48–60 months (15). The FFQ data were used to determine the food variety score (FVS) and food group diversity scores (FGDS). The mean fruit and vegetable intake were compared to the South Africa Peaediatric guidelines for children aged 1–7 years (17). Anthropometric data were analysed using the WHO Anthro software version 3.2.2. Stunting was defined as a low length/height-for‐age z‐score ( < − 2 for moderate or < − 3 for severe), wasting as a low weight‐for‐height z‐score ( < − 2 for moderate or < − 3 for severe), and underweight as low weight‐for‐age z‐score ( < − 2 for moderate or < − 3 for severe). The data was analysed for descriptive statistics and independent t-tests using the Statistical Package for the Social Sciences SPSS® statistical software package Version 24.0 (IBM SPSS Inc., Chicago, IL, USA) for analysis. p values below < .05 were considered statistically significant.
The sample size comprised of 116 children of which there were 58 children in 24–47 months category (girls n = 30, boys n = 28) and 58 children in the 48–60 months category (girls n = 28, boys n = 30).
Table 1 illustrates that the mean energy intake for girls (4906.2 kJ) and boys (4997.9 kJ) between 24–47 months were below the EAR. In the 48–60 months age group, the mean energy intake was 5936.4 kJ for girls and 5621.2 kJ for boys (p = 0.038). The mean intake of protein was 33.1 g for girls and 36.7 g for boys between 24–47 months (p < 0.001) and was 41.3 g and 39.2 g for girls and boys respectively for the 48–60 months age group (p < 0.001). The mean intake of carbohydrates was significantly higher than the recommended amount for both age categories; 167.5 g and 176.9 g for girls and boys respectively between 24–47 months (p = 0.011) and 201.1 g for and 193.5 g for girls and boys between 48–60 months. In contrast, the mean dietary fibre intake was lower than the recommended amount; 10.7 g for girls and 13.4 g for boys between 48–60 months, 13.6 g for girls and 14.4 g for boys aged 40–60 months. Ninety-seven percent of girls and 86% of boys between 24–47 months did not meet the daily recommended amount for calcium, with the mean intake being lower in girls (248.3 mg) than boys (307.1 mg) (p < .001). The mean intake of calcium for participants between 48–60 months was also lower than the recommended EAR, (346.9 mg for girls and 241.2 mg for boys (p = 0.056).
Girls and boys 24–47 months (n = 58) | Girls and boys 48–60 months (n = 58) | |||||||||
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Nutrient | Girls mean nutrient intake n = 30 (SD) | % Girls < 100% of DRI | Boys mean nutrient intake n = 28 (SD) | % Girls < 100% of DRI | P value | Girls mean nutrient intake n = 28 (SD) | % Girls < 100% of DRI | Boys mean nutient intake n = 30 (SD) | % Boys < 100% of DRI | P value |
Energy kJ | 4906.2 (292.6) | 90 | 4997.9 (734.7) | 100 | 0.541 | 5936.4 (701.4) | 75 | 5621.2 (339.8) | 100 | 0.038 |
Protein (g) | 33.1 (2.9) | 0 | 36.7 (4.2) | 0 | 0.001 | 41.3 (0.4) | 0 | 39.2 (0.9) | 0 | 0.000 |
CHO (g) | 167.5 (5.1) | 0 | 176.6 (17.1) | 0 | 0.011 | 201.1 (36.1) | 0 | 193.5 (15.7) | 0 | 0.316 |
Total dietary fibre (g) | 10.7 (1.3) | 100 | 13.4 (1.4) | 82 | 0.307 | 13.6 (1.9) | 100 | 14.4 (1.7) | 100 | 0.118 |
Calcium (mg) | 248.3 (20.6) | 97 | 307.1 (7.6) | 86 | 0.000 | 346.9 (40.9) | 100 | 241.2 (288.7) | 97 | 0.056 |
Iron (mg) | 8.4 (1.0) | 0 | 9.9 (0.9) | 0 | 0.000 | 10.4 (1.3) | 0 | 10.6 (1.2) | 0 | 0.641 |
Zinc (mg) | 6.15 (0.7) | 0 | 7.7 (0.0) | 0 | 0.000 | 8.1 (0.9) | 0 | 7.9 (1.2) | 0 | 0.538 |
Vitamin A (µg) | 456.2 (59.6) | 0 | 551.3 (85.3) | 14 | 0.000 | 608.7 (134.4) | 11 | 506.3 (186.0) | 23 | 0.019 |
Riboflavin (mg) | 1.6 (0.0) | 0 | 1.5 (0.0) | 0 | 0.000 | 2.2 (1.0) | 0 | 2.1 (0.4) | 0 | 0.477 |
Vitamin B6 (mg) | 1.8 (0.1) | 0 | 2.3 (0.1) | 0 | 0.000 | 2.4 (0.6) | 0 | 2.3 (0.7) | 0 | 0.900 |
Folate (µg) | 207.1 (32.4) | 7 | 256.0 (20.2) | 0 | 0.000 | 251.8 (25.2) | 11 | 273.0 (10.9) | 0 | 0.000 |
Vit B12 (µg) | 2.45 (0.6) | 0 | 2.6 (0.5) | 0 | 0.164 | 2.8 (0.7) | 7 | 2.4 (0.4) | 0 | 0.031 |
DRI for 24–47 months (18); DRI for 48–60 months: (18), SD: standard deviation; EAR: estimated average requirement; AI: adequate intake;* p values given in bold font indicate that the mean nutrient intake is significantly different from the EAR/AI. |
The results also show that the mean intake of vitamin A was higher than the recommended EAR for all participants between 24–47 months (456.2 µg and 551.3 µg for girls and boys respectively) (p < 0.001). A similar trend was observed in girls (608.7 µg) and boys (506.3 µg) between 48–60 months (p = 0 .019). All boys between 24–47 months met the recommended EAR for folate per day; however, 7% of girls in that age group consumed less than the recommended amount. In the 48–60 months age group, results show that even though the mean intake of folate was higher for girls (251.8 µg) compared to boys (273.0 µg), 11% of girls consumed less than the recommended EAR (p < 0.001). This trend was also noted for vitamin B12 for participants aged 48–60 months where the mean intake was 2.8 µg for girls and 2.4 µg for boys (p = 0.031); however, 7% of girls consumed less than the recommended EAR.
The results presented in Table 2 indicate that for the 24–47 months age group, the mean fruit and vegetable intake for girls was 63.8 g and 69.5 g for boys (p = 0.037). In the 48–60 months age group, the mean was 68.3 g for girls and 74.4 g (p = 0.038). Results also showed that the mean FVS was 34 for participants between 24 to 47 months and 38 for participants between 48 to 60 months, indicating medium variety. The mean FGDS was 8.2 for the 24 to 47 month age group and 8.5 for 48 to 60 months age group.
Girls 24–47 months (n = 30) | Boys 24–47 months (n = 28) | P value | Girls 48–60 months (n = 28) | Boys 48–60 months (n = 30) | P value | |||||
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Mean intake (g) (SD) | Per capita (1 day) | Mean intake (g) (SD) | Per capita (1 day) | Mean intake (g) (SD) | Per capita (1 day) | Mean intake (g) (SD) | Per capita (1 day) | |||
Fruit and vegetables | 63.8 (13.2) | 74.0 | 69.5 (5.4) | 74.5 | 0.037 | 68.3 (8.4) | 98.8 | 74.4 (13.0) | 94.4 | 0.038 |
In Table 3, maize meal was the most consumed item among girls and boys between 24–47 months (2491.1 g and 2577.6 g respectively), followed by diluted squash cold drink (1695.8 ml for girls and 1408.1 ml for boys) and rice at third place (1468.3 g and 860.8 g). A donated instant vanilla porridge was placed fourth for both groups (942.3 g for girls and 865.0 g for boys) and bread at number five (691.6 g and 1654.1 g for girls and boys respectively). The top three foods consumed by girls and boys between 48–60 months were maize meal (2151.3 g for girls and 3086.1 g for boys), rice (1576.0 g for girls and 1770.9 g for boys) and diluted squash (1547.0 ml and 1091.6 ml for girls and boys respectively).
Girls 24–47 months (n = 30) | Boys 24–47 months (n = 28) | Girls 48–60 months (n = 28) | Boys 48–60 months (n = 30) | ||||||||
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ITEM | Mean intake (g) (SD) | Per Capita Intake (1 day) (g) | ITEM | Mean intake (g) (SD) | Per Capita Intake (1 day) (g) | ITEM | Mean intake (g) (SD) | Per Capita Intake (1 day) (g) | ITEM | Mean intake (g) (SD) | Per Capita Intake (1 day) (g) |
Maize meal | 2491.1 (2114.0) | 83 | Maize meal | 2577.6 (2414.0) | 92 | Maize meal | 2151.3 (294.6) | 77 | Maize meal | 3086.1 (2621.7) | 103 |
Diluted squash cold drink | 1695.8 (866.2) | 56 | Diluted squash cold drink | 1408.1 (1019.4) | 50 | Rice | 1576.0 (731.6) | 56 | Rice | 1770.9 (1419.2) | 59 |
Rice | 1468.3 (1393.9) | 48 | Rice | 860.8 (1296.6) | 31 | Diluted squash cold drink | 1547.0 (27.8) | 55 | Diluted squash cold drink | 1091.6 (408.9) | 36 |
Instant vanilla porridge | 942.3 (548.2) | 31 | Instant vanilla porridge | 865.0 (229.5) | 31 | Instant vanilla porridge | 1454.6 (803.2) | 52 | Milk | 1455.8 (365.3) | 49 |
Bread | 691.6 (549.1) | 23 | Bread | 1654.1 (469.0) | 59 | Bread | 765.0 (139.0) | 27 | Instant vanilla porridge | 1027.3 (646.7) | 34 |
Tea | 654.1 (218.0) | 22 | Milk | 914.3 (984.0) | 33 | Milk | 725.0 (370.0) | 26 | Bread | 617.5 (124.9) | 21 |
Milk | 538.83 (526.3) | 18 | Tea | 484.1 (684.7) | 17 | Apple | 457.0 (41.9) | 16 | Apple | 283.3 (10.6) | 9 |
Crèche pilchard curry | 384.5 (328.8) | 13 | Apple | 430.0 (438.4) | 15 | Chicken curry | 275.0 (181.4) | 10 | Phuthu and maas | 778.3 (601.5) | 26 |
Crèche sausage curry | 375.0 (275.7) | 13 | Crèche pilchard curry | 243.0 (343.6) | 9 | Savoury snack | 265.1 (121.3) | 9 | Tea | 425.3 (400.6) | 14 |
Apple | 360.0 (325.2) | 12 | Crèche sausage curry | 225.0 (318.1) | 8 | Banana | 248.1 (350.9) | 9 | Potato stew | 231.1 (77.0) | 8 |
Figure 3 illustrates that the majority of the participants had a normal height for age in both groups. Stunting was noted in 7% of girls and 20% of boys between 48–60 months (p = 0.012), and 7% of girls were severely stunted. The percentage of girls with a normal weight for height was lower in the 48–60 months age group (32%) compared to girls between 24–47 months (60%). Among boys, 46% in the 24–47 months and 53% in the 48 to 60 months age group, a normal weight for height was recorded. Wasting was observed in 3% of boys between 48–60 months. The risk of overweight was higher in girls between 48–60 months (46%) compared to 27% of boys in the same age group (p = 0.026). In contrast, more boys (29%) were at risk of overweight compared to girls (20%) in the 24–47 month age group. Eighteen percent of boys between 24–47 months were overweight, closely followed by boys between 48–60 months at 17% and girls between 24–47 months at 13%. Results showed a statistically significant difference between overweight girls and boys between the ages of 48–60 months (p = 0.041). Seven percent of girls and 7% of boys between 24 to 47 months were obese. In the 48–60 months age group, 14% of girls between were obese, and none of boys were obese in that age group (p = 0.004).
For the biochemical measurements, the sample size decreased to n = 90 due to 15 participants being absent on blood collection days and the inability to detect serum retinol in n = 11 of the samples (Table 4). Low serum retinol levels (< 0.070 µmol/L) were found in 9.1% of boys between 24–47 months, and none of the girls had low serum retinol levels in this age group. Eight-point three percent girls and 7.2% of boys between 48 to 60 months had low serum retinol levels. In the 24–47 months age group, 50.0% of girls and 30.4% of boys had low Hb levels (< 11.0 g/dL) whereas in the 48–60 months age group, low Hb levels were found in 28.6% of girls and 39.3% of boys.
Girls 24–47 months (n = 17) for serum retinol (n = 22) for Hb | Boys 24–47 months (n = 22) for serum retinol (n = 23) for Hb | Girls 48–60 months (n = 24) for serum retinol (n = 28) for Hb | Boys 48–60 months (n = 27) for serum retinol (n = 28) for Hb | ||
---|---|---|---|---|---|
Serum retinol levels | > 0.070 µmol/L | 100 | 90.9 | 91.7 | 92.6 |
< 0.070 µmol/L | 0 | 9.1 | 8.3 | 7.2 | |
Hb levels | > 11.0 g/dL | 50.0 | 69.6 | 71.4 | 60.7 |
< 11.0 g/dL | 50.0 | 30.4 | 28.6 | 39.3 |
In general, the study findings showed that participants had a low energy intake, low fruit and vegetable consumption, high prevalence of stunting, overweight and iron deficiency. The importance of nutrition in early childhood development and the effects of inadequate nutrition beyond childhood has been well established (19). Results in this study show that the energy, fibre, calcium, iron and zinc intake were lower than the recommended amount in all the age groups, similar to findings in a study conducted in Durban in South Africa (20). Furthermore, the majority of the children consumed less than the recommended EAR for vitamin A, except for girls between 24–47 months. In contrast, there was generally a high protein intake in all groups, and none of the participants consumed less than the recommended intake. Given that the food intake results are similar to findings reported in the National Food Consumption Survey conducted in 1999 and a more recent study at an ECD centre in a similar context (4, 20), and despite national interventions, various reasons can be attributed to the current results. Nutritional status is influenced by several environmental factors and, as such, in countries like South Africa where the prevalence of HIV infection is high, HIV infection has both a direct impact on the nutritional status of women and children who are infected and an indirect effect through changes in household food security and inappropriate choices of infant-feeding practices to prevent mother-to-child transmission of HIV (21).
It has been well established that adequate fruit and vegetable consumption is crucial for child health. Globally and nationally, most children do not meet the guidelines for adequate fruit and vegetable intake. The results from this study are no different; the mean fruit and vegetable intake for all participants between 24–47 months and 48–60 months was less than the recommended 320 to 480 g per day and 400 to 480 g per day respectively. These findings of low fruit and vegetable intake compare with the SANHANES-1 study. Cost is the major constraint prohibiting daily consumption of fruits and vegetables (22). Given that 65% of young children in South Africa live below the poverty line, affordability is related to the low fruit and vegetable intake (23). Although initiatives such as food gardens have been amplified and promoted as a nutrition intervention strategy, its impact is seldom measured. Moreover, the dislike of fruit and vegetables among children and the habit of eating fruits and vegetables at an early age is another possible reason. According to Raggio & Gambaro, (2018) the sensory characteristics of vegetables and the habits of consumption in the family environment play an important role in acceptance or rejection of vegetables by children (24).
Anthropometric results show that over and undernutrition coexists within the study population, which reflects similar trends in developing countries (25). The incidence of stunting was noted in girls and boys between 48–60 months, with severe stunting being more pronounced among girls. The high prevalence of stunting in this study population is similar to other studies in South Africa (26, 27). While wasting was only observed in boys aged 48–60 months, the risk of overweight was high in all age groups, especially in girls between 48–60 months. The more recent South African Demographic Health Survey in 2016 found a decline in wasting and underweight, yet stunting remained high, affecting 27% of children under five (28). Stunting is an indicator of chronic malnutrition compromising children’s cognitive development, education and employment prospects, and increases their risk of overweight and obesity (21). While South Africa has experienced a rapid nutrition transition characterised by an increase in the prevalence of obesity and non-communicable diseases, the South African pattern of transition differs in that stunting persists (29). To effectively direct public health initiatives, an understanding of the long-term dynamics of stunting in the South African context is required in conjunction with the interplay of the obesogenic food environment.
In children, vitamin A is essential to support rapid growth and help to combat infections (WHO). The findings in this study show that a small percentage of participants had low serum retinol levels. In the SAHANES study at the national level, the prevalence of vitamin A deficiency was 43.6%. South Africa introduced routine periodic high-dose vitamin A supplementation in 2002 to reduce childhood mortality, however, there is no evidence from the past two decades, with changing disease profiles, increased use of vaccines and reduced morbidity from diarrhoea and pneumonia, that a high-dose programme is nearly as effective today as it was in some countries 20–30 years ago (30). Moreover, it has been found that there may also be pockets where, due to unique eating patterns, vitamin A deficiency may not be present at all (31).
Iron deficiency can have a serious impact on children’s health and later development through alteration of the immune status, adverse effects on morbidity and delayed behavioural and mental development (32). In this study, the prevalence of anaemia was high contrary to the findings of the SAHANES study where the overall prevalence of anaemia was 10.7%, mild anaemia 8.6% and moderate anaemia 2.1% (5). It was also found that children in the 24–47 months age group had lower Hb levels. Likewise, the prevalence of anaemia was highest in children in the 24–35 months (15.2%) age group and decreased to 3.0% in the 48–59 months age group in the SAHANES study (5). A possible reason for the low Hb levels in this study population could be alluded to the fact that top five foods consumed were carbohydrate-rich foods, with meat being the eight food item consumed, bearing in mind that the 24-food recall, showed a high protein content which is attributed to the high consumption of legumes which is typically consumed in South African rural areas. Co-morbid anaemia and stunting among young children are highly prevalent in low- and middle-income countries (6). Hence a syndemic framework approach is encouraged integrating the co-occurrence of health problems with social and environmental factors.
This study is not without limitations. The results of this study represent a semi-rural geographical area may not represent a typical rural setting. Using a finger prick to draw blood samples posed limitations as serum retinol could not be detected in some samples. Researchers could not draw blood intravenously as that would be invasive given the age of participants. Other limitations included a small sample size and potential recall bias.
Despite the numerous efforts to improve the nutritional status of children, a high prevalence of malnutrition still exists in South Africa. Malnutrition, presented through micronutrient deficiencies, stunting, overweight and obesity, co-exist in this study population. The nutritional status of children’s diet, attending ECD centres, is sub-optimal and is characterised by inadequacies for optimum growth with a marked increase in the prevalence of stunting, overweight and low haemoglobin levels. Early interventions to address both under and overnutrition are required. Menus should be reviewed to include more fruit and vegetables and unrefined carbohydrates. Sustainable food-based interventions should be explored with the intent to support good health, proper nutrition and early learning at ECD centres towards the optimum development of human capital. The co-morbidity of anaemia and stunting in early childhood resource-constrained settings should be managed using a syndemic approach. Sustainable interventions should be explored with the intent to support good health, proper nutrition and early learning at ECD centres towards the optimum development of human capital.
24hDR: 24-h dietary recall; DSD: Department of Social Development; DBS: Dried blood spot; EAR: Estimated Average Requirement; ECD: Early Child Development; FFQ: Food Frequency Questionnaire; FGDS: Food Group Diversity Score; FVS: Food Variety Score; Hb: Heamoglobin; HPLC: High Performance Liquid Chromatography; SANHANES-1: South African National Health and Nutrition Examination Survey; WHO:World Health Organization
We express our thanks to the ECDs and children that participated in this study.
OM conceptualised and designed the study and prepared the initial draft of the manuscript, reviewed by AN. Both authors reviewed and approved the final version of the manuscript.
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
The datasets during and/or analyzed during the current study is available from the corresponding author on reasonable request.
Ethical approval was granted by the Institutional Research Ethics Committee at Durban University of Technology (IREC no 019/13). Gatekeeper permission to conduct the research was sought from the South African Department of Basic Education. A letter of information in English and in isiZulu (local language) was shared and explained to all internal gatekeepers, parents and caregivers. Written consent was obtained from the principals of the ECD centres to conduct the study at their facilities and from parents or caregivers of the child. All biomedical waste was disposed of using biomedical waste management rules (33).
Not applicable.
The authors declared that they have no conflict of interest.