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the nutritional status of - Health Systems Trust

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A direct comparison <strong>of</strong> <strong>the</strong> results from <strong>the</strong> SALDRU/World Bank and <strong>the</strong> 1994 National Survey (SAVACG, 1995; Table<br />

8) with <strong>the</strong> compilation (calculated means) <strong>of</strong> <strong>the</strong> smaller studies done from 1976 to 1996 is not possible. Changing<br />

circumstances over 20 years such as droughts, economic recession, improved health services, changed political<br />

structures, as well as an absence <strong>of</strong> proper randomisation or selection bias in <strong>the</strong> smaller studies, could be<br />

responsible for observed differences. However, looking at calculated means, <strong>the</strong> same overall pattern <strong>of</strong> low prevalence<br />

<strong>of</strong> underweight, moderate to high prevalences <strong>of</strong> stunting in <strong>the</strong> absence <strong>of</strong> wasting, emerged. The wide range <strong>of</strong><br />

percentages <strong>of</strong> children under a specific cutpoint for all three indices (W-a, H-a and W-H) as summarised in Table<br />

8 fur<strong>the</strong>r emphasises that <strong>the</strong>re are areas with high prevalences <strong>of</strong> malnutrition.<br />

3.1.5 PRIMARY SCHOOL CHILDREN<br />

Tables 9 to 14 give information on <strong>the</strong> anthropometric indices <strong>of</strong> primary school children, as well as percentages <strong>of</strong><br />

children under <strong>the</strong> 3rd or 5th percentile <strong>of</strong> <strong>the</strong>se indices. Most children were between 6 and 12 years old, but some<br />

studies included slightly older children. The data were collected from 1975 to 1996 and 34 374 children were<br />

weighed and measured. For this analysis, <strong>the</strong> children were divided into 111 subgroups based on age, gender,<br />

ethnicity and geographical area. The data include 20 000 children aged 6 to 9 years who were measured in <strong>the</strong><br />

1980 National Survey (Kotzé et al., 1982). Without this group, <strong>the</strong> anthropometry <strong>of</strong> only 14 374 primary school<br />

children were studied by individual researchers over a period <strong>of</strong> 20 years. However, Table 15 gives data on <strong>the</strong> 1994<br />

National Survey (Department <strong>of</strong> <strong>Health</strong>, 1994). This study included 97 790 children or 4.9 % <strong>of</strong> all school entrants<br />

in <strong>the</strong> Republic <strong>of</strong> South Africa. These children were randomly selected from 3 300 schools using 10 schools per<br />

magisterial district in <strong>the</strong> four Education Departments (Houses <strong>of</strong> Assembly, Representatives, Delegates and Education<br />

and Training) <strong>of</strong> <strong>the</strong> previous Government to represent children from all four population groups. For <strong>the</strong> purpose <strong>of</strong><br />

this analysis, <strong>the</strong> assumption was made that <strong>the</strong>se would represent <strong>the</strong> white, coloured, Indian and black children<br />

respectively.<br />

Table 16 summarises some <strong>of</strong> <strong>the</strong> data contained in Tables 9-15. For comparison, <strong>the</strong> mean figures obtained in <strong>the</strong><br />

1994 National Survey for each ethnic group are also given in this table. The mean percentages were calculated<br />

from all studies except <strong>the</strong> 1994 National Survey. No corrections for <strong>the</strong> number or distribution <strong>of</strong> subjects in <strong>the</strong><br />

smaller studies were done. The data should <strong>the</strong>refore be interpreted with care. Never<strong>the</strong>less, <strong>the</strong> prevalences <strong>of</strong><br />

underweight and stunting in all population groups seemed to be higher in <strong>the</strong> smaller studies than in <strong>the</strong> 1994<br />

National Survey. Both sets <strong>of</strong> data indicate that wasting (low W-H) is not a serious problem on a national basis,<br />

although <strong>the</strong> wide range in prevalence reported in different studies, indicates that it is a serious problem in several<br />

areas and in particular groups <strong>of</strong> children.<br />

One reason for <strong>the</strong> differences in prevalences <strong>of</strong> underweight and stunting is probably that in <strong>the</strong> smaller studies<br />

some groups <strong>of</strong> children were examined because it was suspected that <strong>the</strong>y were malnourished, leading to selection<br />

bias. For example, <strong>the</strong> Indian children studied by Van Rensburg et al. (1977) were from a socio-economically<br />

deprived area in Durban and <strong>the</strong>y were selected on a basis <strong>of</strong> scoring during aptitude tests. This study showed that<br />

<strong>the</strong> majority <strong>of</strong> children were growth retarded and that <strong>the</strong>y could be classified as “slow learners”. These authors<br />

remarked that despite <strong>the</strong> low weights and heights <strong>of</strong> <strong>the</strong> Indian children, <strong>the</strong>ir skinfold thickness was close to<br />

normal, as judged by conventional standards. The normal or “thicker” skinfolds <strong>of</strong> Indian children were also<br />

observed in o<strong>the</strong>r studies (Kotzé et al., 1986; Vorster et al., 1994).<br />

Comparing weights and heights and weight and height increases in <strong>the</strong> 6, 7, 8 and 9 year old children <strong>of</strong> <strong>the</strong> 1980<br />

National Survey, Kotzé et al. (1982) observed that white children had <strong>the</strong> highest growth rate. Indian boys initially<br />

had <strong>the</strong> lowest weight, and put on weight later than <strong>the</strong> coloured and black boys. But <strong>the</strong>y grew faster in height<br />

than <strong>the</strong> boys <strong>of</strong> <strong>the</strong> o<strong>the</strong>r two ethnic groups. Black children weighed more than <strong>the</strong> Indian and coloured children<br />

but <strong>the</strong>y had <strong>the</strong> slowest growth rate (in weight and height) over this age period.<br />

In Table 17, <strong>the</strong> prevalences <strong>of</strong> stunting (low H-a) obtained in <strong>the</strong> three recent National Surveys on preschool<br />

(SALDRU/World Bank 1993/1994; SAVACG 1995) and primary school children (Department <strong>of</strong> <strong>Health</strong>, 1994) are given.<br />

On a national level, <strong>the</strong> percentages <strong>of</strong> stunted preschool children were 25.4 and 22.9, while <strong>the</strong> percentage <strong>of</strong><br />

stunted school entrants was 13.2. This 10 % difference is difficult to explain. It is possible that undernourished<br />

children are kept at home and sent to school later, but both studies on preschool children had an age cutpoint (60<br />

and 72 months). All three studies were randomised and included children from <strong>the</strong> previous Homelands. However,<br />

differences in <strong>the</strong> provinces that did not have Homelands, such as <strong>the</strong> Western Cape, Nor<strong>the</strong>rn Cape and Gauteng,<br />

were smaller than <strong>the</strong> provinces that included <strong>the</strong> Transkei (Eastern Cape), Bophutatswana (Free State and North<br />

West Province) and Venda (Nor<strong>the</strong>rn Province). Therefore, it seems that insufficient randomisation <strong>of</strong> subjects could<br />

be a possible reason. The prevalences <strong>of</strong> stunting obtained in <strong>the</strong> SALDRU/World Bank study for <strong>the</strong> different<br />

provinces are generally higher than those <strong>of</strong> <strong>the</strong> SAVACG study. Due to measurement error, <strong>the</strong> body weights <strong>of</strong><br />

children in <strong>the</strong> SALDRU/World Bank study could not be used (Harrison, 1995). The possibility that heights and ages<br />

were not accurate cannot, <strong>the</strong>refore, be ruled out.<br />

8

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