Dietary Patterns, Socio-Demographic Predictors Thereof, and Associations of Dietary Patterns with Stunting and Overweight/Obesity in 1-<10-Year-Old Children in Two Economically Active Provinces in South Africa.

A review of the literature showed that there were only a few studies that reported on the dietary patterns of children in South Africa. The aim of the present study was to characterise the dietary patterns of children aged 1-<10 years who were studied during the Provincial Dietary Intake Survey (PDIS) in 2018 and to investigate the socio-demographic predictors thereof, as well as the associations with stunting and overweight/obesity. Dietary pattern analysis was conducted within three age groups, namely 1-<3-year-olds, 3-<6-year-olds, and 6-<10-year-olds using iterated principal factor analysis with varimax rotation and 24 h recall data from the PDIS. The dietary patterns that emerged seem to be far from ideal. Energy-dense, nutrient-poor patterns were included in the top three strongest patterns in all three age groupings that were investigated. Few of the dietary patterns included vegetables other than starchy vegetables, fruit, dairy, quality proteins, and unrefined carbohydrates. There were no associations between any of the dietary patterns and stunting or overweight/obesity in the children. Key predictors of greater adherence to the mostly unhealthy patterns included indicators of a higher socio-economic status in all three age groups, as well as having an obese mother in the 6-<10-year-old group. Key predictors of greater adherence to the mostly healthy patterns were a higher wealth index and having an obese mother in the two younger groups, with no predictors in the 6-<10-year-old group. We conclude that the dietary patterns of children in the Western Cape contain strong elements of the energy-dense, nutrient-poor dietary patterns. Interventions to improve the dietary intake of children should be directed at both poorer and higher income communities.

The Nutrition Transition and the Double Burden of Malnutrition in Sub-Saharan African Countries: How Do These Countries Compare with the Recommended LANCET COMMISSION Global Diet?

BACKGROUND: Over the last two decades, many sub-Saharan African (SSA) countries have undergone dietary and nutrition transitions fuelled by rapid urbanisation, economic development, and globalisation. The aim of the current study was to examine outcomes of the nutrition transition and the epidemiologic transition in SSA countries in terms of food intake, health, and socioeconomic and development factors. METHODS: Food balance sheet data-specifically, per capita energy intake per day and per capita gram intake per day-from the CountrySTAT framework of the Food and Agricultural Organization (FAO) were analysed for major food commodities. Additionally, selected health and development indicators supplied by UNICEF, the WHO and the World Bank were analysed. RESULTS: Four dietary patterns emerged. The diet of the southern African/island cluster (South Africa, Mauritius, Eswatini, Namibia, Cabo Verde, and the outlier Seychelles) resembles a Westernised diet, with median values high on sugar/sweeteners, alcohol, meat, animal fats, eggs, and dairy. On the other hand, the diet of countries in the other three clusters appears to be more traditional, with countries in the desert/semi-arid cluster consuming more cereals and pulses/tree nuts, countries in the tropical coastal cluster consuming more fish and vegetable oils, and countries in the equatorial cluster consuming more starchy roots and fruit and vegetables. The resulting median values of health indicators also indicate a higher prevalence of non-communicable diseases in the southern African/island cluster, whereas stunting and anaemia are higher in the other three clusters. CONCLUSIONS: SSA countries are in different stages of the nutrition transition. By superimposing clusters generated using macronutrient intake values on a map of the climatic regions in Africa, one can clearly see the importance of climate on the availability of food and food intake patterns. Climate change presents a great challenge to healthy eating, as the link between climate regions and diets is illustrated.

Prevalence and Determinants of the Double Burden of Malnutrition with a Focus on Concurrent Stunting and Overweight/Obesity in Children and Adolescents.

PURPOSE OF THE REVIEW: To determine the prevalence and determinants of concurrent stunting and overweight/obesity (CSO) in the same child or adolescent. RECENT FINDINGS: After searching PubMed and the Web of Science, 26 articles comprised the prevalence and/or determinants of concurrent stunting and overweight/obesity. Most of the articles were published from 2018 onwards. There is great variation in the prevalence of concurrent stunting and overweight/obesity across the globe. For children under five years the prevalence of CSO is higher among children under two years compared with those 2-<5 years. The main determinants of this condition appear to be associated with gender, age, and urban versus rural ones. Income varied greatly between studies. However, a few additional variables were mentioned including having a mother with a short stature, time of weaning, having an improved toilet facility, being dewormed in the past few months, and the level of education of the mother.

Has Food Security and Nutritional Status Improved in Children 1-<10 Years in Two Provinces of South Africa between 1999 (National Food Consumption Survey) and 2018 (Provincial Dietary Intake Study (PDIS)).

The 1999 National Food Consumption Survey in South Africa showed that food insecurity (hunger) was prevalent in households with children aged one to <10 years. A repeat of the survey in two provinces: Gauteng (GTG) and the Western Cape (WC) was undertaken in 2018. Results showed that in all domains (living areas) in GTG, food shortage prevalence decreased between 1999 and 2018, from 55.0% to 29.6% in urban informal areas, from 34.1% to 19.4% in urban formal areas and from 42.1% to 15.6% in rural areas. While the prevalence of food shortage in urban formal areas in the WC remained similar in 2018, prevalence decreased from 81.8% to 35.7% in urban informal areas and from 38.3% to 20.6% in rural areas. Energy and macronutrient intakes improved significantly in GTG between 1999 and 2018 but not in the WC; intakes were significantly higher in the WC at both time points. The only significant change in stunting, wasting, overweight and obesity prevalence was that 7-<10-year-olds in GTG were significantly more likely to be wasted (BAZ < 2SD) in 2018 than in 1999 (20.2% versus 6.9% respectively). In the WC, 1-3-year-olds were significantly more likely to be obese in 2018 than in 1999 (8.1% versus 1.7% respectively) and 7-<10-year-olds were less likely to be stunted (14.5% versus 4.9% respectively). There were significant negative correlations between the hunger score and dietary variables in both provinces in 1999. In GTG in 2018, only the correlation with fat intake remained while there were still several significant correlations in WC in 2018. Changes in top 12 energy contributors reflect a shift to high or moderate energy foods low in nutrients from 1999 to 2018. Nutrient dense (high micronutrients, low energy/g) foods (e.g., fruit) fell off the list in 2018. Logistic regression analyses reflect the importance for food security of having a parent as head of the household and/or caregiver, and parents having grade 12 or higher education and being employed. We conclude that food security nutritional status indicators improved amongst 1-<10-year-old children especially in GTG between 1999 and 2018. However, the shift to poorer food choices and increase in wasting in older children and overweight in younger children are of concern.

Illustration of the Importance of Adjustment for within- and between-Person Variability in Dietary Intake Surveys for Assessment of Population Risk of Micronutrient Deficiency/Excess Using an Example Data Set.

Nutrition intervention decisions should be evidence based. Single 24-h recalls are often used for measuring dietary intake in large dietary studies. However, this method does not consider the day-to-day variation in populations' diets. We illustrate the importance of adjustment of single 24-h recall data to remove within-person variation using the National Cancer Institute method to calculate usual intake when estimating risk of deficiency/excess. We used an example data set comprising a single 24-h recall in a total sample of 1326 1-<10-year-old children, and two additional recalls in a sub-sample of 11%, for these purposes. Results show that risk of deficiency was materially overestimated by the single unadjusted 24-h recall for vitamins B12, A, D, C and E, while risk of excess was overestimated for vitamin A and zinc, when compared to risks derived from usual intake. Food sources rich in particular micronutrients seemed to result in overestimation of deficiency risk when intra-individual variance is not removed. Our example illustrates that the application of the NCI method in dietary surveys would contribute to the formulation of more appropriate conclusions on risk of deficiency/excess in populations to advise public health nutrition initiatives when compared to those derived from a single unadjusted 24-h recall.

Association between food intake and obesity in pregnant women living with and without HIV in Cape Town, South Africa: a prospective cohort study.

BACKGROUND: Although global nutrition/dietary transition resulting from industrialisation and urbanisation has been identified as a major contributor to widespread trends of obesity, there is limited data in pregnant women, including those living with HIV in South Africa. We examined food-based dietary intake in pregnant women with and without HIV at first antenatal care (ANC) visit, and associations with maternal overweight/obesity and gestational weight gain (GWG). METHODS: In an urban South African community, consecutive women living with (n = 479) and without (n = 510) HIV were enrolled and prospectively followed to delivery. Interviewer-administered non-quantitative food frequency questionnaire was used to assess dietary intake (starch, protein, dairy, fruits, vegetables, legumes, oils/fats) at enrolment. Associations with maternal body mass index (BMI) and GWG were examined using logistic regression models. RESULTS: Among women (median age 29 years, IQR 25-34), the prevalence of obesity (BMI ≥ 30 kg/m2) at first ANC was 43% and that of excessive GWG (per IOM guidelines) was 37% overall; HIV prevalence was 48%. In women without HIV, consumption of potato (any preparation) (aOR 1.98, 95% CI 1.02-3.84) and pumpkin/butternut (aOR 2.13, 95% CI 1.29-3.49) for 1-3 days a week increased the odds of overweight/obesity compared to not consuming any; milk in tea/coffee (aOR 6.04, 95% CI 1.37-26.50) increased the odds of excessive GWG. Consumption of eggs (any) (aOR 0.52, 95% CI 0.32-0.86) for 1-3 days a week reduced the odds of overweight/obesity while peanut and nuts consumption for 4-7 days a week reduced the odds (aOR 0.34, 95% CI 0.14-0.80) of excessive GWG. In women with HIV, consumption of milk/yoghurt/maas to drink/on cereals (aOR 0.35, 95% CI 0.18-0.68), tomato (raw/cooked) (aOR 0.50, 95% CI 0.30-0.84), green beans (aOR 0.41, 95% CI 0.20-0.86), mixed vegetables (aOR 0.49, 95% CI 0.29-0.84) and legumes e.g. baked beans, lentils (aOR 0.50, 95% CI 0.28-0.86) for 4-7 days a week reduced the odds of overweight/obesity; tomato (raw/cooked) (aOR 0.48, 95% CI 0.24-0.96) and mixed vegetables (aOR 0.38, 95% CI 0.18-0.78) also reduced the odds of excessive GWG. CONCLUSIONS: Diet modification may promote healthy weight in pregnant women living with and without HIV.

Mean ± Standard Deviation Intake Values for 1-<10-Year-Old South African Children for Application in the Assessment of the Inflammatory Potential of Their Diets Using the DII® Method: Developmental Research.

This study aimed to develop a set of mean ± standard deviation (SD) intake values for South African (SA) children for 36 of the 45 food parameters included in the original Dietary Inflammatory Index (DII®) tool. The SA food composition database contains 30 of the 45 food parameters included in the original DII®, and a supplementary database was developed for six of the food parameters not included in the SA database. The SA child mean ± SD intake of macronutrients, micronutrients and select flavonoids was calculated by age in years, using eight data sets from dietary surveys conducted in SA in the last three decades. A total sample of 5412 children was included in the calculation of the mean ± SD. The current study sample was determined to be representative of 1-<10-year-old children in SA, and the plausibility of the mean intake values was confirmed by being in line with age-appropriate recommendations. Furthermore, an increase in energy, macronutrient, and most micronutrient intakes with increase in age was evident. The generated mean ± SD values for SA children can be used for calculation of the inflammatory potential of the dietary intake of SA children in the age range of 1-<10-year-old children.

Provincial Dietary Intake Study (PDIS): Micronutrient Intakes of Children in a Representative/Random Sample of 1- to <10-Year-Old Children in Two Economically Active and Urbanized Provinces in South Africa.

In 1999, the National Food Consumption Survey found serious risk of dietary deficiency for a number of micronutrients in 1- to 9-year-old children in South Africa. To address these shortfalls, fortification with vitamin A, thiamine, riboflavin, niacin, vitamin B6, folic acid, iron and zinc of maize meal and bread flour was made mandatory in 2003. The aim of this study was to examine micronutrient intakes of 1- to <10-year-old children after nearly 20 years of fortification in two of the most urbanized and economically active provinces, Gauteng (GTG) and the Western Cape (WC). A multistage stratified cluster random sampling design and methodology was used. Households were visited by fieldworkers who interviewed caregivers and obtained dietary intake data by means of a multiple-pass 24-h recall. Two additional 24-h recalls were completed among a nested sample of 146 participants to adjust the single 24-h recall data of the total sample using the National Cancer Institute Method. Results show that median intake of all the fortification nutrients were above the estimated average requirement (EAR), with the only concern being folate in the WC. Between a quarter and a third of children in the WC, where maize porridge intake was significantly lower than in GTG, had a folate intake below the EAR. Nutrients that are not included in the fortification mix that remain a serious concern are calcium and vitamin D, with intake of dairy and vitamin D sources being very limited in both provinces. The improvement in micronutrient intakes of children is encouraging, however the outstanding nutrient deficiency risks need attention.

Dietary Practices and Adolescent Obesity in Secondary School Learners at Disadvantaged Schools in South Africa: Urban-Rural and Gender Differences.

South Africa has a high prevalence of obesity in black female adolescents and a paucity of knowledge regarding contributing dietary practices. The aim of this study was to assess the dietary practices and weight status of male and female adolescents at secondary schools in the Eastern Cape province in urban and rural areas. Sixteen schools and grade 8-12 learners (N = 1360) were randomly selected from three health districts comprising poor disadvantaged communities. A short unquantified food frequency questionnaire was used to collect data on learners' usual eating practices with regards to weekly meal pattern, breakfast consumption, foods taken to school, takeaways, and snacks eaten while watching television (TV). Body mass index measurements were determined for each learner. Prevalence of combined overweight and obesity differed significantly between genders, 9.9% in males versus 36.1% in females (p < 0.001). Significant gender differences were noted regarding eating practices. Females had a higher frequency of eating sugary snacks (p < 0.001) and a lower frequency of eating breakfast (p < 0.01) than males. Females ate significantly more fried fish (p < 0.05), pizza (p < 0.05) fat cakes (fried dough balls) (p < 0.05), hotdogs (p < 0.01), candy (p < 0.001), cake (p < 0.01), and crisps (p < 0.001). Compared to urban areas, the frequency of eating breakfast (p < 0.01) and sugary snacks (p < 0.05) was significantly higher in rural areas. Significantly more learners in urban areas consumed boerewors (beef sausage) rolls (p = 0.027), hamburgers (p = 0.004), and soft drinks (p = 0.019), while more learners in the rural areas consumed cordial (p = 0.001). In conclusion, a high prevalence of combined overweight and obesity was found in black female adolescents and a high prevalence of poor dietary practices was observed, with significant gender and urban-rural differences.

The Food and Nutrition Environment at Secondary Schools in the Eastern Cape, South Africa as Reported by Learners.

Overweight and obesity are growing concerns in adolescents, particularly in females in South Africa. The aim of this study was to evaluate the food and nutrition environment in terms of government policy programs, nutrition education provided, and foods sold at secondary schools in the Eastern Cape province. Sixteen schools and grade 8-12 learners (N = 1360) were randomly selected from three health districts comprising poor disadvantaged communities. Based on age and sex specific body mass index (BMI) cut-off values, 13.3% of males and 5.5% of females were underweight, while 9.9% of males and 36.1% of females were overweight or obese. The main food items purchased at school were unhealthy energy-dense items such as fried flour dough balls, chocolates, candies, and crisps/chips. Nutrition knowledge scores based on the South African food-based dietary guidelines (FBDGs) were poor for 52% to 23.4% learners in Grades 8 to 12, respectively. Female learners generally had significantly higher nutrition knowledge scores compared to their male counterparts (p = 0.016). Questions poorly answered by more than 60% of learners, included the number of fruit and vegetable portions required daily, food to eat when overweight, foods containing fiber, and importance of legumes. It was noted that the majority of teachers who taught nutrition had no formal nutrition training and their responses to knowledge questions were poor indicating that they were not familiar with the FBDGs, which are part of the curriculum. Nutrition assessment as part of the Integrated School Health Program was done on few learners. Overall however, despite some challenges the government national school meal program provided meals daily to 96% of learners. In general, the school food and nutrition environment was not conducive for promoting healthy eating.

Provincial Dietary Intake Study (PDIS): Energy and Macronutrient Intakes of Children in a Representative/Random Sample of 1-<10-Year-Old Children in Two Economically Active and Urbanized Provinces in South Africa.

The double burden of malnutrition is still prevalent in South Africa, hence the importance of a dietary survey to identify risks of under- and over-nutrition. A multistage stratified cluster random sampling design was applied in two economically active provinces, Gauteng (GTG) (N = 733) and Western Cape (WC) (N = 593). Field workers completed questionnaires, and a 24 h recall with children taking part aged 1-<10-years (N = 1326). Important findings were that 71% and 74%, respectively, of 3-<6-year-olds and 6-<10-year-olds had an energy intake below the estimated energy requirement (EER), while 66% 1-<3-year-olds had intakes above the EER. The percentage of children with a total fat intake below recommended levels decreased as age increased ((51%, 40% and 5%) respectively, for the three age groups). Similarly, the percentage of those who had a total fat intake above the recommendation increased with increasing age (4%, 11% and 26%, respectively, for the three age groups). Saturated fat intake above 10%E was highest in the youngest and oldest children (33% and 32%, respectively). The percentage of children with a free sugars intake above 10%E was 47%, 48% and 52% respectively, and 98%-99% had a fibre intake that was less than recommended. Overall, the diet was not healthy, with the main food items being very refined, and the diet being high in salty snacks and sugary items, and low in fruit, vegetables and legumes.

The development of an evidence-based street food vending model within a socioecological framework: A guide for African countries.

In the present global economic crisis and continued rapid urbanization, street food (SF) vending has grown into a practical source of income for people in the developing world. SF are not only appreciated for their unique flavours, convenience, and affordability they also contribute to the economy of the country, the perseverance of cultural and social heritage of society, as well as the potential for maintaining and improving the nutritional status of populations. This study aimed to develop a street food vending model (SFVM) that encompasses healthy and safe food options for consumers including hygiene and safety guidelines and viable business and operations for vendors. An evidence-based approach, i.e. "systematically collected proof", was used to inform the development of this model. Phase 1 included two surveys, one of street food vendors (N = 831) and the other of consumers (N = 1047). These surveys obtained data regarding the vendors' operations and food items they sold and the consumers' purchases and their nutrition knowledge. In Phase 2, interviews and focus groups were conducted with government officials. Additionally, regulations and policies regarding street vending were reviewed to determine available regulations and policies for street food vending. In Phase 3, data from the two phases were integrated and participatory action methods involving street food vendors used to validate the findings and inform the development of a SFVM by engaging in focus group discussions with street food vendors (N = 28). The components of the proposed SFVM comprised four parts, namely a food and nutrition component, a hygiene component, a business component and a vending cart. These components serve as a guide and considers various elements of the socioecological framework, namely intrapersonal/individual and interpersonal factors, the physical environment/community as well as the policy environment. The development of this model can serve as an example to countries which have large street food vending components and wish to optimize their value by making them safe and healthy for consumers. Thus, allowing vendors to trade under optimal conditions giving due consideration to regulations and policy.

Provincial Dietary Intake Study (PDIS): Prevalence and Sociodemographic Determinants of the Double Burden of Malnutrition in A Representative Sample of 1 to Under 10-Year-Old Children from Two Urbanized and Economically Active Provinces in South Africa.

The objective of this study was to determine the prevalence and socio-demographic predictors of malnutrition in two urbanized economically active provinces (Gauteng N = 733, Western Cape N = 593) in South Africa. A multistage stratified cluster random sampling design was applied. Fieldworkers visited homes, measured children aged 1-<10-years old (N = 1326) and administered a questionnaire (mother/primary caregiver). In under-five year old children (N = 674) 21.6% were stunted [height-for-age z-score < -2 SD], 5.6 % underweight [weight-for-age z-score < -2 SD], 10.3% overweight (body mass index-for-age z-score) (BAZ)> +2 SD ≤ +3 SD] and 7.0% obese (BAZ > +3 SD). In 5-<10-year olds (N = 626) 6.7% were stunted, 6.8% underweight, 13.4% overweight and 6.8% obese. Stunting and overweight in the same child was present in 5.7% under-five year olds and 1.7% in 5-<10-year olds. Multiple logistic regression analyses identified having a mother with a post-grade 12 qualification (OR = 0.34) and having an obese mother (OR 0.46) as protectors and being in the under-five age group (OR = 3.73) as a risk factor for stunting. Being in the under-five age group was also a risk factor for a BAZ > 1 (OR 2.39), while being in the third wealth quintile was protective (OR = 0.62). Results indicate that stunting and overweight/obesity are still present at concerning levels, especially in the under-five age group.

The HealthKick Study: Modifiable Lifestyle Factors in Primary Caregivers of Primary School Learners from Two School Districts in the Western Cape Province, South Africa.

Background: The HealthKick (HK) study showed that educators (teachers) had a high prevalence of risk factors for the development of non-communicable diseases (NCDs). Little data are available on parents or other primary caregivers of learners from disadvantaged schools. Aim: The aim of our study was to determine modifiable risk factors for the development of NCDs in a sample of caregivers of schools included in the HK intervention program. Participants: Caregivers of grade 4 children from 25 schools were invited to take part in the study and 175 participated. Caregivers were Black Africans and of mixed ethnic origin. Methods: Dietary intake was measured using a validated frequency questionnaire. Physical activity was measured by completing the Global Physical Activity Questionnaire (GPAQ). Caregivers described their smoking habits and alcohol usage. Weight and height were measured for each participant and body mass index (BMI) was calculated. Results: Eighty percent women and 50% men had a BMI ≥25 (overweight or obese). The most frequently consumed categories of foods were processed foods, energy-dense foods, and high-fat foods representing unhealthy food choices. More than half of the total group (81.7%) and both males and females were meeting physical activity recommendations of 600 METs/week. Many caregivers, particularly men (53%), smoked cigarettes and reportedly consumed alcohol during the week and on weekends. Conclusion: Caregivers of children in the HK study population presented with a large number of modifiable health risk behaviors. These results highlight the importance of engaging caregivers, as part of a whole school intervention, to promote healthy eating and physical activity.

The relationship between agricultural biodiversity, dietary diversity, household food security, and stunting of children in rural Kenya.

The study was to determine the role of Dietary diversity (DD), household food security (HFS), and agricultural biodiversity (AB) on stunted growth in children. Two cross-sectional studies were undertaken 6 months apart. Interviews were done with mothers/caregivers and anthropometric measurements of children 24-59 months old. HFS was assessed by household food insecurity access scale (HFIAS). A repeated 24-h recall was used to calculate a dietary diversity score (DDS). Agricultural biodiversity (AB) was calculated by counting the number of edible plants and animals. The study was undertaken in resource-poor households in two rural areas in Kenya. Mothers/Care givers and household with children of 24-59 months of age were the main subjects. The prevalence of underweight [WAZ <-2SD] ranged between 16.7% and 21.6% and stunting [HAZ <-2SD] from 26.3% to 34.7%. Mean DDS ranged from 2.9 to 3.7 and HFIAS ranged from 9.3 to 16.2. AB was between 6.6 and 7.2 items. Households with and without children with stunted growth were significantly different in DDS (P = 0.047) after the rainy season and HFIAS (P = 0.009) in the dry season, but not with AB score (P = 0.486). The mean AB for households with children with stunted growth were lower at 6.8, compared to 7.0 for those with normal growth, however, the difference was insignificant. Data indicate that households with children with stunted growth and those without are significantly different in DDS and HFIAS but not with AB. This suggests some potential in using DDS and HFIAS as proxy measures for stunting.

Dietary Intake of the Urban Black Population of Cape Town: The Cardiovascular Risk in Black South Africans (CRIBSA) Study.

INTRODUCTION: To determine dietary intake of 19 to 64 years old urban Africans in Cape Town in 2009 and examine the changes between 1990 and 2009. METHODS: A representative cross-sectional sample (n = 544), stratified by gender and age was randomly selected in 2009 from the same areas sampled in 1990. Socio-demographic data and a 24-h dietary recall were obtained by trained field workers. The associations of dietary data with an asset index and degree of urbanization were assessed. RESULTS: Fat intakes were higher in 19-44-year-old men (32% energy (E)) and women (33.4%E) in 2009 compared with 1990 (men: 25.9%E, women: 27.0%E) while carbohydrate intakes were lower in 2009 (men 53.2%E, women: 55.5%E) than in 1990 (men: 61.3%E; women: 62%E) while sugar intake increased significantly (p < 0.01) in women. There were significant positive correlations between urbanization and total fat (p = 0.016), saturated fat (p = 0.001), monounsaturated fat (p = 0.002) and fat as a %E intake (p = 0.046). Urbanization was inversely associated with intake of carbohydrate %E (p < 0.001). Overall micronutrient intakes improved significantly compared with 1990. It should also be noted that energy and macronutrient intakes were all significant in a linear regression model using mean adequacy ratio (MAR) as a measure of dietary quality in 2009, as was duration of urbanization. DISCUSSION: The higher fat and lower carbohydrate %E intakes in this population demonstrate a transition to a more urbanized diet over last two decades. These dietary changes reflect the nutrition transitions that typically occur as a longer time is spent in urban centers.

Primary School Children's Nutrition Knowledge, Self-Efficacy, and Behavior, after a Three-Year Healthy Lifestyle Intervention (HealthKick).

OBJECTIVE: This study aimed to evaluate the effects of HealthKick(HK), a healthy lifestyle intervention, on nutrition knowledge, behavior, and dietary self-efficacy of school children in the Western Cape Province of South Africa. DESIGN: A three-year cluster randomized control trial at primary schools in low socioeconomic settings with a baseline study in 2009 and follow-up in 2010 and 2011. PARTICIPANTS: Participants were Grade four children (n=500) at eight schools in the intervention group and at eight schools in the control group (n=498). METHODS: An action planning process was followed with educators whereby they identified their own school health priorities and ways to address them. Schools were provided with nutrition resources, including curriculum guidelines and the South African food-based dietary guidelines. Children completed a questionnaire comprising nutrition knowledge, self-efficacy and behavioral items. RESULTS: The intervention significantly improved the knowledge of the intervention group at the first (mean difference =1.88, 95%CI: .32 to 3.43, P=.021) and second follow-up (mean difference=1.92, 95%CI: .24 to 3.60, P=.031) compared with the control group. The intervention effect for self-efficacy was not significant at the first follow-up (mean difference=.32, 95%CI: -.029 to .94, P=.281) whereas a significant effect was observed at the second follow-up (mean difference=.71, 95%CI: .04 to 1.38, P=.039). There were no significant differences between the intervention and control groups for nutritional behavior scores at any of the follow-up time points. CONCLUSIONS: The HK intervention improved nutrition knowledge and self-efficacy significantly in primary schoolchildren; however, it did not improve their eating behavior.

Impact of a South African School-based Intervention, HealthKick, on Fitness Correlates.

OBJECTIVES: To assess the impact of a whole-of-school health promotion program targeting healthy eating and physical activity on physical fitness levels, and physical activity-related knowledge, attitudes and behavior of primary school children. METHODS: Sixteen primary schools were randomly assigned as intervention (N = 8) and control (N = 8) schools. A selection of tests from the Eurofit testing battery was used to assess changes in fitness levels over the 3 years of the intervention. Anthropometric measurements included height and weight. A physical activity knowledge, attitude and behavior (KAB) questionnaire was administered to participants. Multi-level mixed effect linear models were used to assess differences between intervention and control schools. RESULTS: No overall improvement in physical fitness was found. The sit-ups score improved significantly in the intervention group (p < .05). No overall intervention effects were found on the determinants of physical activity behavior. Knowledge improved in both the intervention (p = .005) and control (p < .001) groups. CONCLUSION: The lack of a specific intervention effect on fitness levels and physical activity-related KAB indicates that a "low intensity" intervention is not effective in South African primary school settings.

Added Sugar, Macro- and Micronutrient Intakes and Anthropometry of Children in a Developing World Context.

OBJECTIVE: The objective of this study was to determine the relationship between added sugar and dietary diversity, micronutrient intakes and anthropometric status in a nationally representative study of children, 1-8.9 years of age in South Africa. METHODS: Secondary analysis of a national survey of children (weighted n = 2,200; non weighted n = 2818) was undertaken. Validated 24-hour recalls of children were collected from mothers/caregivers and stratified into quartiles of percentage energy from added sugar (% EAS). A dietary diversity score (DDS) using 9 food groups, a food variety score (FVS) of individual food items, and a mean adequacy ratio (MAR) based on 11 micronutrients were calculated. The prevalence of stunting and overweight/obesity was also determined. RESULTS: Added sugar intake varied from 7.5-10.3% of energy intake for rural and urban areas, respectively. Mean added sugar intake ranged from 1.0% of energy intake in Quartile 1 (1-3 years) (Q1) to 19.3% in Q4 (4-8 years). Main sources of added sugar were white sugar (60.1%), cool drinks (squash type) (10.4%) and carbonated cool drinks (6.0%). Added sugar intake, correlated positively with most micronutrient intakes, DDS, FVS, and MAR. Significant negative partial correlations, adjusted for energy intake, were found between added sugar intake and intakes of protein, fibre, thiamin, pantothenic acid, biotin, vitamin E, calcium (1-3 years), phosphorus, iron (4-8 years), magnesium and zinc. The prevalence of overweight/obesity was higher in children aged 4-8 years in Q4 of %EAS than in other quartiles [mean (95%CI) % prevalence overweight 23.0 (16.2-29.8)% in Q4 compared to 13.0 (8.7-17.3)% in Q1, p = 0.0063]. CONCLUSION: Although DDS, FVS, MAR and micronutrient intakes were positively correlated with added sugar intakes, overall negative associations between micronutrients and added sugar intakes, adjusted for dietary energy, indicate micronutrient dilution. Overweight/obesity was increased with higher added sugar intakes in the 4-8 year old children.

A Review of Dietary Surveys in the Adult South African Population from 2000 to 2015.

One serious concern of health policymakers in South Africa is the fact that there is no national data on the dietary intake of adult South Africans. The only national dietary study was done in children in 1999. Hence, it becomes difficult to plan intervention and strategies to combat malnutrition without national data on adults. The current review consequently assessed all dietary studies in adults from 2000 to June 2015 in an attempt to portray typical adult dietary intakes and to assess possible dietary deficiencies. Notable findings were that, in South Africa micronutrient deficiencies are still highly prevalent and energy intakes varied between very low intakes in informal settlements to very high intakes in urban centers. The most commonly deficient food groups observed are fruit and vegetables, and dairy. This has been attributed to high prices and lack of availability of these food groups in poorer urban areas and townships. In rural areas, access to healthy foods also remains a problem. A national nutrition monitoring system is recommended in order to identify dietary deficiencies in specific population groups.