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South African Journal of Child Health

versão On-line ISSN 1999-7671
versão impressa ISSN 1994-3032

S. Afr. j. child health vol.13 no.1 Cape Town Abr. 2019 



Waist circumference percentiles of black South African children aged 10-14 years from different study sites



B S Motswagole,I, II; P O Ukegbu,I,III; H S KrugerI, IV ; T MatshaV; E Kimani-MurageVI ; K D MonyekiVII ; C M SmutsI; M E van StuijvenbergXIII ; S A NorrisIX ; M FaberI, XIII

IPhD; Centre of Excellence for Nutrition, Faculty of Health Sciences, North-West University, Potchefstroom, South Africa
IIPhD; National Food Technology Research Centre, Kanye, Botswana
IIIPhD; Department of Human Nutrition and Dietetics, Michael Okpara University of Agriculture, Umuahia, Nigeria
IVPhD; Medical Research Council Hypertension and Cardiovascular Disease Research Unit, North-West University, Potchefstroom, South Africa
VPhD; Department of Biomedical Sciences, Faculty of Health and Wellness Sciences, Cape Peninsula University of Technology, Cape Town, South Africa
VIPhD; African Population and Health Research Center, Nairobi, Kenya
VIIPhD; Department of Physiology and Environmental Health, Faculty of Science and Agriculture, University of Limpopo, Polokwane, South Africa
VIIIPhD; Non-communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
IXPhD; MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa





BACKGROUND: Waist circumference (WC) is a useful predictor of cardiometabolic risk in children. Published data on WC percentiles of children from African countries are limited
OBJECTIVES: To describe age- and sex-specific WC percentiles in black South African (SA) children from different study sites, and compare these percentiles with median WC percentiles of African-American (AA) children
METHODS: Secondary data on WC for 10 - 14-year-old black SA children (N=4 954; 2 406 boys and 2 548 girls) were extracted from the data sets of six studies. Smoothed WC percentile curves for boys and girls were constructed using the LMS method. The 50th percentile for age- and sex-specific WC measurements was compared across study sites and with AA counterparts
RESULTS: Girls had higher WC values than boys from the 50th to 95th percentiles at all ages. The 50th WC percentiles of all groups of SA children combined were lower than those of AA children. When SA groups were considered separately, Western Cape children had median WC values similar to AA children, while rural Limpopo children had the lowest WC values. The 95th percentiles for Western Cape girls exceeded the adult cutoff point for metabolic syndrome (WC >80 cm) from age 11 years
CONCLUSIONS: The differences in WC values for 10 - 14-year-old children across the six study sites highlight the need for nationally representative data to develop age-, sex- and ethnic-specific WC percentiles for black SA children. The results raise concerns about high WC among Western Cape girls



Obesity and related metabolic disease risk are global public health concerns, not only among adults but also in children and adolescents.[1] Evidence shows that the prevalence of obesity and metabolic syndrome is increasing among children and adolescents worldwide,[2] and this has important public health implications.[3] Childhood obesity has negative health implications in children presenting with associated metabolic and cardiovascular risk factors, and there is therefore a need for early identification of obesity-related disease risk in children for targeted interventions.[4]

Waist circumference (WC), a generally acceptable measure of central obesity, gives relevant information about body fat distribution.[5] The use of WC as a screening tool to identify children at high risk of cardiometabolic disorders and cardiovascular diseases has been recommended.[6] The need to develop WC percentiles and cutoff points for various populations and ethnic groups that are due to differences in body size and composition has been suggested.[7,8] Ethnic-specific WC cutoff points associated with increased risk for metabolic and cardiovascular diseases have been defined for adult men and women.[9] However, WC reference values for children and adolescents have been defined in only a few countries, for example, the USA,[10] Canada,[11] Australia,[12] Britain,[13] Iran[3] and Malaysia.[14[

These references may not be applicable to children from the African continent, owing to differences in ethnic and racial backgrounds. Comparison of WC data of children and adolescents in Africa is compounded by limited data describing WC percentiles and cutoff points.[15] Nationally representative WC data from developing countries is therefore required for children and adolescents. A study reported WC values among Nigerian children and adolescents,[15] but did not derive percentile curves.

South Africa (SA), like other middle-income countries undergoing epidemiological nutrition transition, is experiencing an increase in childhood obesity and related metabolic complications. Data on WC cutoff points and percentiles for black SA children are unavailable, and cutoff points for Europids are therefore used in African children. This poses a major challenge for body composition research.[16,17] The present study aimed to describe WC percentiles in black SA children from six different studies, and to compare median WC values with those for African American (AA) children and adolescents.



Study design and sample

Secondary data analysis was performed using anthropometric data

for black SA children from six cross-sectional surveys that were done in different provinces of SA (Table 1): (i) the THUSABANA (Transition and Health during Urbanisation of South Africans Bana [children]) study in the North West Province among children aged 10 - 15 years old;[18] (z'z) Ellisras Longitudinal Growth and Health Study in Limpopo Province among children aged 7-13 years;[19] (iii) a study of body composition in urban children aged 6-13 years in Polokwane, Limpopo Province;[20] (iv) a study of metabolic syndrome in children aged 10-16 years in Cape Town in the Western Cape Province;[16] (v) a study of rural children and adolescents aged 1-20 years from Mpumalanga Province, selected from the Agincourt database;[21] and (vi) a study of primary school children aged 9-15 years from four schools in the Valley of a Thousand Hills, a peri-urban area in KwaZulu-Natal Province.

Most children in these studies were from low to middle socioeconomic backgrounds, and aged 6-18 years. However owing to the differences in the age ranges of the studies, only age groups that were common to the majority of the data sets and with sufficient sample sizes (>20 children per sex and age group) were included in the present study (Table 2). Sufficient data from children aged 10 - 14 years were available in all data sets and included in the current analysis (N=4 954; 2 406 boys and 2 548 girls). In each of the six studies, informed consent had been obtained from parents or guardians of all children, and the children themselves had assented to participate in the studies. All studies were conducted by academics from SA universities, and the research ethics committees of the respective universities approved the studies.

Anthropometric measurements

Anthropometric data were extracted from each of the data sets for the six studies, and used for analysis in the present study. Details of measurements are described in full in the different studies.[16,18-22] In short, anthropometric measurements of height, weight and waist circumference (WC) were taken following standard procedures.[23] Height was measured to the nearest 0.1 cm on a free-standing stadiometer fitted with a head board. The subject stood barefoot on the base of the stadiometer, wearing light clothing, with heels together, head positioned such that the line of vision is perpendicular to the body (Frankfort plane) and arms hanging freely by the sides. The movable headboard was brought onto the topmost point of the head with sufficient pressure to compress hair and the reading was taken. Body weight was measured without shoes and with only light clothing, to the nearest 0.1 kg, on electronic scales. Body mass index (BMI) was calculated by dividing weight by height in metres squared (kg/m2). WC was measured with flexible anthropometric tapes to the nearest 0.1 cm at the midway point between the lowest rib and iliac crest, in most studies (Table 1). Median WC data of the black SA children were compared with data from African American (AA) children,[10] owing to a lack of established cutoff points for African children. The waist-to-height ratio (WHtR) was expressed as waist (cm)/height (cm). BMI z-scores of the children were calculated using the World Health Organization (WHO) AnthroPlus software version 1.0.4 (WHO, Switzerland).

Statistical analysis

Statistical analysis was performed using Statistical Package for Social Sciences for Windows software version 23 (IBM, USA). Descriptive statistics (means and standard deviations) were used to present anthropometric variables based on age, sex and study sites. Differences between means based on age and study sites were tested using analysis of variance, with Bonferroni adjustments for multiple comparisons of study sites. A p-value <0.05 was regarded as statistically significant. Smoothed age- and sex-specific percentiles were constructed using LMS ChartMaker Pro software package (Institute of Child Health, UK).[2,4] The WC of the children was categorised according to the 5th, 10th, 25th, 50th, 75th, 90th and 95th percentile by age, sex and study sites. Data were pooled to construct median WC percentile curves for the whole SA data set. Age-and gender-specific median WC percentiles for all SA children were plotted on the same chart. Comparisons with AA children are presented graphically; the 50th percentile (median) was used for comparison, as only medians were available for the AA data.[10]



The anthropometric characteristics (height, weight, WC, BMI and WHtR) of the study population stratified by age, sex and study site are presented in Tables 3 and 4. Children from the Western Cape had higher values for most variables except for height and WHtR (p<0.05). Children from Mpumalanga were the tallest across all the age groups. Rural Limpopo children had the lowest values for all the variables except for height, which was significantly lower in urban Limpopo children (p<0.05). Using the WHO growth reference to classify the children and adolescents according to BMI for age z-scores (BMIz), the prevalence of overweight (BMIz >+l) and obesity (BMIz >+2) were 2.9% and 0.5%, respectively, in the total sample. Stratification based on sex revealed that overweight and obesity were 3.9% v. 1.8% for girls, and 0.7% v. 0.4% for boys, respectively. Further classification according to province showed that the prevalence of overweight and obesity was the highest for Western Cape children (8.9% and 2.0%, respectively), with no child being overweight or obese in rural Limpopo.

WC percentile distribution of the children

Predictably, the WC percentile distribution of the children increased with age in both sexes (Table 5). Most of the girls with a WC at the 95th percentile were from the Western Cape, and they reached the established limit for cardiovascular risk for adult females (i.e. WC >80 cm)[9] from the age of 11 years onwards. At the 95th percentile, rural Limpopo children had the smallest WC. For all SA children at the different ages, boys had greater WC than girls at the 5th to 25th percentile, while girls had greater WC than boys from the 50th to the 95th percentile. Western Cape children had greater WC across almost all ages from the 50th percentile upwards, compared with children from all the other studies.

The 50th WC percentile figures of children from different study sites compared with all SA and AA children are graphically presented in Figs 1 and 2. The median WC percentile values were higher for the AA children than the SA children from different study sites for each age and sex category. Western Cape boys and girls were comparable to AA children, while children from rural Limpopo had the smallest WC of all groups. At ages 12 and 13 years, the median WC of Mpumalanga girls was comparable to those of AA children, while Western Cape boys had comparable WC values with AA children at ages 12 and 14. When all the data sets were combined, the median WC value of SA boys and girls at 13 years old demonstrated a similar trend to AA children. At all the other ages, SA children had smaller WC than AA children.

Smoothed WC percentile curves

The smoothed WC percentile curves for all SA children by age and sex are presented in Fig. 3. As illustrated by the curves, the 95th percentile of WC for boys ranged from 68 cm at the age of 10 years to 80 cm at 14 years. Corresponding WC percentiles for girls were 72 cm and 82 cm, respectively.



The present study presents data on age- and sex-specific smoothed WC percentiles for black SA children aged 10 - years. It also represents the first attempt to describe WC percentiles of black SA children with data pooled from six studies, a sample of 4 954 children (2 406 boys and 2 548 girls) in different provinces in SA.

The WC distribution of black SA children differed across studies, with urban Western Cape children having the greatest WC, and rural Limpopo children the smallest WC. Previous studies have shown that more urban SA school-age children were obese than rural children.[25] The National Food Consumption Survey also reported a higher prevalence of overweight among urban than rural children[26] based on the international BMI standard proposed.[27] The City of Cape Town is one of SAs five metropolitan municipalities and is regarded as the economic heartbeat of the Western Cape Province. It has outperformed the rest of the provinces in terms of infrastructure, income and waste disposal, whereas Limpopo Province is one of the poorest regions of SA, especially in its rural areas, with over 62% of the population living below the national poverty line.[28] Available estimates of the SA gross domestic product (GDP) data for the period between 2000 and 2009 suggest improvements in the average real annual economic growth of the different provinces. Gauteng (4%), KwaZulu-Natal (3.8%) and the Western Cape (4.3%) recorded the highest growth, while Limpopo (2.8%) recorded the least growth in GDP between 2000 and 2009.[29]

The rapid epidemiological transition currently sweeping across SA is probably having a direct impact on eating habits and lifestyle, resulting in increases in obesity in black urban populations.[30] Overconsumption of energy-dense processed foods containing high amounts of fat and sugar, and insufficient physical activity levels, are possible reasons for the rapid increase in obesity among black SA populations.[30-32] Evidence suggests that childhood obesity is increasing rapidly in SA.[33-35] Over the past decade, the prevalence of overweight and obesity among black SA children increased from 1.2 - 13.0% and 0.2 - 3.3%, respectively.[35] In a national survey of SA children and women conducted in 2005,[36] it was reported that 10.0% of children were overweight and 4.0% obese, using Cole et al.s[27] BMI classification. Our data, collected between 2000 and 2008, are consistent with these reports. Consistent with our results, Senbanjo et αl.[15] found 1.8% of children and adolescents in Nigeria to be overweight. Comparison of our data, collected over 10 years, with later studies showed an increase in the trend of overweight and obesity among children and adolescents. For instance, a longitudinal study of 6- to 9-year-olds reported that overweight and obesity in black SA children increased by 3.0% (10.3% to 13.3%) from 2010 to 2013.[3,4] This rapid rise in the obesity rate is a cause for concern. The increase in obesity in the later SA study[34] compared with earlier reports[35,36] may be attributed to differences in the time of data collection, owing to changing nutritional patterns over time and increased westernisation and urbanisation among the black SA population.

Despite government's commitment to addressing development issues in SA, large disparities in food security still exist among communities and households across the country, reflecting continuing social and economic inequalities that could be contributing to differences in the WC values of children from different locations.[38]

The comparison of the median WC values of all SA children with those of AA children revealed that the WCs of AA children of the same age and sex were greater; however, when SA groups were considered separately, Western Cape children had median WC values similar to AA children, in most instances. The differences in WC of all SA and AA children could be attributed to differences in

environmental factors such as lifestyle and cultural characteristics.[15] Malina et al.[38] observed that although human beings are generally genetically similar, populations differ in a variety of genotypic and phenotypic characteristics, including growth rates and adiposity. Tanner[39] argues that differences in size and shape between children of different populations are due to differences in their gene pools, their environments and the interactions between the two, but with the added complications caused by variations in rates of maturation, probably due to early undernutrition. Therefore two populations may reach an average identical adult size, but the children of one population may be larger than those of the other at a particular age, simply because they have a faster rate of growth, enter puberty earlier and reach adult body size earlier. Hence there is a need for the development of age-, sex- and population-specific WC reference cutoff points for children and adolescents.

The 80 cm internationally accepted cutoff point for WC level[9] indicating increased risk of obesity and related comorbidities for adult females in sub-Saharan Africa was reached by Western Cape girls from 11 years of age at the 95th percentile. At 14 years old, WC at the 95th percentile in Western Cape girls even exceeded the recommended cutoff point of 92 cm for diagnosis of metabolic syndrome in adult black SA women.[40] Similarly, high median WC values were evident in girls from 11 to 14 years of age in the SA study[10] Studies in other low-and middle-income countries have reported similar findings. For example, in a study of children and adolescents in Nigeria, it was observed that the mean WC of girls was consistently higher than that of boys from age 10 and above.[15] In contrast, studies in high-income countries have found that boys had higher mean WC values than girls.[5,13,41] The higher WC of girls compared with boys may be explained by the earlier onset of the pubertal growth spurt in girls, which can also be associated with greater adiposity.[42-44] Disparities in WC values of children and adolescents across various countries may be attributed to genetic or racial differences in body fat distribution, as well as environmental influences such as diet