CARDIOVASCULAR JOURNAL OF AFRICA • Volume 30, No 3, May/June 2019
AFRICA
149
has demonstrated a significant association of gender (male) and
educational level (pre-school) with childhood underweight.
Strength and limitations
This study has both strengths and limitations. Among the
strengths, standardised techniques were used, which included
anthropometric and blood pressure measurements and the
WHO STEPS questionnaire. Another includes the availability of
data concerning various potential confounders.
The authors could not adjust maturation status in the
analysis as a possible confounder for hormonal changes with
undernutrition in boys, as reported previously.
33
The study
population comprised participants from the Ellisras rural
population. This limits the external validity of the study in that
results cannot be generalised to the total Limpopo Province
population. The results, therefore may not be generalisable to the
greater community outside this group. Due to the fact that this
was a secondary data analysis, there was no control over what
data were collected, or how they were collected or managed.
The study was cross-sectional, preventing the assertion of a
causal association of demographic, socio-economic and cardio-
metabolic risk factors with underweight.
Conclusion
Our results have shown a high prevalence of childhood
underweight in a rural sample of young black South Africans,
indicating a village-level burden. A CHAID decision tree
identified different interactions between predictor variables
of childhood underweight. Mild undernutrition in a male
child aged 11 to 16 years, normal nutrition in a pre-school
child aged between eight and 10 years, and moderate or
severe undernutrition in a child aged five to 10 years were
highly associated with childhood underweight. However being
hypertensive was not associated with childhood underweight,
suggesting that hypertension may not be clinically relevant in
young black South Africans for the prediction of childhood
underweight. Further research is needed to explore the risk of
blood pressure on underweight adults.
The authors thank Vrije University, Amsterdam, the Netherlands, the
University of Limpopo, South Africa, and the National Research Foundation
for the financial support received. We are indebted to the Ellisras Longitudinal
Study administrators Thomas Makata, Simon Seleka, William Makata and
Jan Mabote for coding the data.
References
1.
Chang SM, Walker SP, Grantham‐McGregor S, Powell CA. Early
childhood stunting and later behaviour and school achievement.
J Child
Psychol Psychiat
2002;
43
(6): 775–783.
2.
Bovet P, Kizirian N, Madeleine G, Blössner M, Chiolero A. Prevalence
of thinness in children and adolescents in the Seychelles: comparison of
two international growth references.
Nutr J
2011;
10
(1): 65.
3.
Craig E, Bland R, Reilly J. Objectively measured physical activity
levels of children and adolescents in rural South Africa: high volume
of physical activity at low intensity.
Appl Physiol Nutr Metab
2013;
38
(999): 81–84.
4.
McDonald CM, Olofin I, Flaxman S, Fawzi WW, Spiegelman D,
Caulfield LE,
et al
, Nutrition Impact Model Study. The effect of
multiple anthropometric deficits on child mortality: meta-analysis of
individual data in 10 prospective studies from developing countries.
Am
J Clin Nutr
2013;
97
(4): 896–901.
5.
Müller O, Krawinkel M. Malnutrition and health in developing coun-
tries.
Can Med Assoc J
2005;
173
(3): 279–286.
6.
Daboné C, Delisle HF, Receveur O. Poor nutritional status of school-
children in urban and peri-urban areas of Ouagadougou (Burkina
Faso).
Nutr J
2011;
10
(1): 34.
7.
De Onis M, Blössner M, Borghi E, Frongillo EA, Morris R. Estimates
of global prevalence of childhood underweight in 1990 and 2015
. J Am
Med Assoc
2004;
291
(21): 2600–2006.
8.
Puckree T, Naidoo P, Pillay P, Naidoo T. Underweight and overweight
in primary school children in eThekwini district in KwaZulu-Natal,
South Africa.
Afr J Prim Health Care Family Med
2011;
3
(1): 1–6.
9.
Labadarios D, Swart R, Maunder EM, Kruger HS, Gericke GJ.
National Food Consumption Survey: Fortification Baseline (NFCS-
FB). South Africa, 2005.
S Afr J Clin Nutr
2008;
21
(3).
10. Reddy SP, Resnicow K, James S, Kambaran N, Omardien R, Mbewu
AD. Underweight, overweight and obesity among South African adoles-
cents: results of the 2002 National Youth Risk Behaviour Survey.
Public
Health Nutr
2009;
12
(2): 203–207.
11. Jaacks LM, Slining MM, Popkin BM. Recent trends in the prevalence
of under‐ and overweight among adolescent girls in low‐ and middle‐
income countries.
Pediat Obesity
2015;
10
(6): 428–435.
12. Patton GC, Selzer R, Coffey CC, Carlin JB, Wolfe R. Onset of adoles-
cent eating disorders: population based cohort study over 3 years.
Br
Med J
1999;
318
(7186): 765–768.
13. Ajayi IO, Sowemimo IO, Akpa OM, Ossai NE. Prevalence of hyper-
tension and associated factors among residents of Ibadan-North local
government area of Nigeria.
Niger J Cardiol
2016;
13
(1): 67.
14. Field AE, Cook NR, Gillman MW. Weight status in childhood as a
predictor of becoming overweight or hypertensive in early adulthood.
Obesity
2005;
13
(1): 163–169.
15. Monyeki KD, van Lenthe FJ, Steyn NP. Obesity: does it exist in Ellisras
rural community children? Int J Epidemiol 1999;
28
: 287–292.
16. Norton K, Olds T, eds.
Anthropometrica: A Textbook of Body
Measurement for Sports and Health Courses.
Sydney: UNSW press,
1996.
17. Alberti KG, Zimmet PF. Definition, diagnosis and classification of
diabetes mellitus and its complications. Part 1: diagnosis and classifica-
tion of diabetes mellitus. Provisional report of a WHO consultation.
Diabetic Med
1998;
15
(7): 539–553.
18. Ogden CL, Kuczmarski RJ, Flegal KM, Mei Z, Guo S, Wei R,
et al
.
Centers for Disease Control and Prevention 2000 growth charts for the
United States: improvements to the 1977 National Center for Health
Statistics version.
Pediatrics
2002;
109
(1): 45–60.
19. Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard
definition for child overweight and obesity worldwide: international
survey.
Br Med J
2000;
320
: 1240–1243.
20. Cole TJ, Flegal KM, Nicholls D, Jackson AA. Body mass index cut offs
to define thinness in children and adolescents: International survey.
Br
Med J
2007;
335
(7612): 194. Epub 2007 Jun 25.
21. Cameron N. Commentary on: Body mass index cut-offs to define thin-
ness in children and adolescents: International survey.
Br Med J
2007;
Epub ahead of print.
22. Banker A, Bell C, Gupta-Malhotra M, Samuels J. Blood pressure
percentile charts to identify high or low blood pressure in children.
BMC
Pediatrics
2016;
16
(1): 98.
23. Manyanga T, El-Sayed H, Doku DT, Randall JR. The prevalence of