The nutritional double burden refers to a concurrent high prevalence of under- and overnutrition(1).
Mid-upper arm circumference (MUAC) (measured using a tape) and weight-for-height (WHZ) are used to identify malnourished children(2). However, current WHO MUAC and WHZ cut-offs show limited levels of agreement among different childhood populations(Reference Grellety and Golden3), including South African children(Reference McLaren4).
Therefore, alternative MUAC cut-offs have been proposed, achieving improved agreement(Reference Tessema5). Additionally, there is current interest in MUAC as a screening tool for overweight and obesity(Reference Talma6). Equipment and personnel in resource-poor environments are shared between situations of under- and over-nutrition. Therefore, the aim of this study was to validate alternative MUAC cut-offs for South African children aged between six and 24 months, with a view to producing a single MUAC tape capable of identifying both under- and overnutrition.
Data from 348 young children were collected from community clinics and creches. Ethics approval (ref. no H15-HEA-DIET-003) and gatekeepers’ permission was obtained. Using WHZ categories defined by WHO(2) as the reference, MUAC cut-offs were proposed to define categories of nutritional status. Sensitivity, specificity, positive predictive value (PPV), negative predictive values (NPV) were calculated. The association between MUAC category and WHZ category allocation defined by the proposed MUAC cut-off values was assessed using a chi-square test, with Cramer's V to determine the strength of the association and a Kappa test to determine the level of agreement between the two indicators. Analyses were conducted using SPSS v25.
Mean age was 13.57 months (SD, 5.34) and 49.8% of the sample was male. Mean MUAC = 15.32 cm (SD, 1.04) and mean WHZ = 0.50 (SD, 0.99). WHZ ranged from −3.2 to 4.57.
MUAC < 13.0 cm had a sensitivity of 100% and specificity of 99.1% (PPV = 0.25, NPV = 1.0) for WHZ<-3. MUAC between 13.1 and 13.8 cm had a sensitivity of 100% and specificity of 95.6% (PPV = 0.117, NVP = 1.0) for WHZ<-2. MUAC between 16.5 and 16.9 cm had a sensitivity of 11.1% and specificity of 86.8% (PPV = 0.111, NPV = 0.868) for WHZ>+2. MUAC > 17.0 cm had sensitivity of 90.9% and specificity of 80.1% (PPV = 0.235, NPV = 0.992) for WHZ>+3. There was a significant agreement between MUAC and WHZ (Kappa = 0.255; p < 0.001). There was a significant association between the proposed MUAC cut-offs and WHZ categories (Pearson Chi square = 233.52; df = 16; n = 348; p < 0.001). This association is strong (Cramer's V = 0.410; p < 0.001).
The double-burden MUAC tape proposed has potential for reducing resource requirements for screening for both under- and overnutrition in a South African context. Despite the poor performance of the tool for identifying overweight, it has a high sensitivity and specificity for acute malnutrition and obesity. Further research is warranted using a larger independent sample with a range of states of nutrition as well as measures of clinical outcomes to substantiate these preliminary results.