ISSN: 2640-7612
Open Journal of Pediatrics and Child Health
Research Article       Open Access      Peer-Reviewed

Accuracy of new CIMDER tapes and the standard MUAC tape for screening nutritional status in children

Gustavo Bergonzoli1* and Oscar Echeverri2

1MD, Epidemiologist, Director of Knowledge Production and Management Foundation, Cali, Coordinador Grupo Educación Superior e Investigación (ESI), ESE Hospital Departamental Tomas Uribe Uribe, Tuluá, Valle del Cauca, Colombia
2MD, ScD, World Bank Senior Public Health Specialist (Retired), Ave 4A oeste # 5-186 apta, 502, Cali, Colombia
*Corresponding author: Gustavo Bergonzoli, MD, Epidemiologist, Director of Knowledge Production and Management Foundation, Cali, Coordinador Grupo Educación Superior e Investigación (ESI), ESE Hospital Departamental Tomas Uribe Uribe, Tuluá, Valle del Cauca, Colombia, E-mail: [email protected]
Received: 27 April, 2019 | Accepted: 12 June, 2019 | Published: 13 June, 2019
Keywords: Children nutritional status; Screening test; Accuracy estimation; Mid-upper arm circumference; ROC: Receiver operation curve

Cite this as

Bergonzoli G, Echeverri O (2019) Accuracy of new CIMDER tapes and the standard MUAC tape for screening nutritional status in children. Open J Pediatr Child Health 4(1): 007-012. DOI: 10.17352/ojpch.000016

Background: The mid-upper arm circumference (MUAC) to assess children nutritional status under 5 years of age, has been used since late fifties.

Methods: The study was conducted to assess the accuracy in classifying the nutritional status of children under 5 years of age using the new CIMDER tapes compared to the new standard MUAC tape S0145620, distributed by UNICEF, taking weight-for-age as gold-standard from WHO multicenter study. Results.

Results: The new CIMDER tapes developed for boys and girls in different age groups, yielded better results than the new standard MUAC tape for all accuracy indicators used.

Conclusions: These results warrant that the new CIMDER tapes can be used for screening nutritional status in children under 5 years of age with improved accuracy compared to the standard MUAC tape. New CIMDER tapes also screen for overweight, but the standard MUAC tape does not.

Introduction

The nutritional status of children is defined by anthropometric measurements including age, weight, length, height and mid-upper arm circumference (MUAC). In the late 1950´s, Jellife reported the use of MUAC in community surveys and later in the 1960´s proposed standards for MUAC as an indicator of nutritional status in children under 60 months of age [1]. In 1974, Shakir and Morely proposed a three color cord for measuring MUAC [2], with a cut-off point at 11.0 cms for classifying severe malnutrition (>11.0 cms) and moderate malnutrition between 11.1 and 12.0 cms. Based on this simple tool, CIMDER (Center for Multidisciplinary Research in Development.) developed two tapes for measuring malnutrition in children from 3 to 72 months old according to age [3,4]. The design was more precise including three colored bands (green for well nourished, yellow for mild malnutrition and red for moderate and severe malnutrition) with a slot as the 0 of the scale and for inserting the plastic tape to wrap around the mid arm. Serfaz also proposed in 1975 an “insertion tape” with the same three colors [5]. In 1986, World Health Organization (WHO) recommended MUAC for screening the nutritional status of children around the world, with a cutoff point of <11.0 cms for severe malnutrition [6]. Both pro and con arguments for their use have been expressed since then. However, WHO developed an important multicenter study to establish worldwide standard values for the nutritional status of children under 60 months of age [7]. This multicenter study indicates how all children should grow worldwide when adequate nutrition is guaranteed together with environmental health conditions and practices. In 2009, WHO and United Nations Children’s Fund (UNCEF) endorsed MUAC cutoff point of <11.5 cms (previously <11.0 cms) as an independent admission criterion for the treatment of severe acute malnutrition (SAM) around the world [8].

A consultation of operational agencies and academic specialists concluded among other things, that “Neither MUAC nor weight for height reveal themselves to be ideal predictors of mortality; however, of the two indicators, MUAC appears to show consistently better predictive power. Until now, MUAC is the best anthropometric predictor of mortality currently available” [9-12].

A recent systematic literature review [13], concluded that applying a standard set of criteria (simplicity, acceptability, cost, independence of age, reliability and accuracy) to determine which is the most appropriate measure or index, MUAC stands out strongly as the best measure in nutritional surveillance systems to detect short term changes in the nutritional status of a population.

Fiorentino et al., [14], addressed the issue of including gender and age with MUAC measurements, and CIMDER developed two new tapes, one for boys and the other for girls each with specific age groups between 6 and 60 months of age. These new CIMDER tapes were designed taking the WHO reference standards for age and weight and tested for accuracy in 1283 children in urban poor boroughs of Cali, Colombia [15]. The new CIMDER tapes showed high accuracy values when compared to weight for age with WHO child growth standards.

These findings encouraged the proposal of comparing the accuracy of the new CIMDER tapes with the MUAC standard tape (S0145620) for screening the nutritional status in children under 60 months of age.

Methods

The study was designed to compare the accuracy of MUAC measurements with two different instruments: the new CIMDER tapes and new MUAC standard tape* in a population of 2198 children (boys and girls) 3-60 months of age. Previous consent form parents or caregivers, the children were recruited from Growth and Development programs conducted in Cali in a period of 4 months. Basic data collected were: (1) age in months using birth certificate or civil registry; (2) weight in kilograms to the nearest 100gr, using a MB130 digital DETECTO scale transformable into infant scale (with known tare); (3) length in cms using a wood infant meter; height in cms using a Tall A-2000 DETECTO; and (4) MUAC, using the new MUAC standard tape and the new CIMDER tapes.

The new standard MUAC tape: This tape measures the MUAC in children between 6-60 months of age without discriminating boys or girls nor age within 6-60 months. The child nutritional status is *classified using the following cut-off points and colors: <11.5 cms for acute severe malnutrition as red; between 11.5 and 12.5 cms for moderate malnutrition as yellow; and >12.5 cms for well- nourished as green. Overweight is not measured with the new MUAC standard tape. The new standard tape (S0145620) was created for supporting implementation of new WHO child growth standards. (See UNICEF´s 2019, Technical Bulletin N°13. Revision 2).

New CIMDER tapes: The two new CIMDER tapes, one for boys and one for girls, have specific cutoff points for four age groups (3–6; 6.1–18; 18.1–36 and 36.1–60 months) using WHO MUAC Z-scores.14 The child nutritional status is classified as follows: red for moderate to severe malnutrition; yellow for mild malnutrition; green for well nourished; and grey for overweight.

Training: Two experienced nurses in conducting growth and development programs were trained to reduce measurement errors when collecting age, weight, length, height and MUAC data. The training covered assessment of the child’s age using exact date of birth, accurate weighing using a digital scale, precise MUAC measurements and warnings about sources of error in using the tapes. A nurse used only the new MUAC standard tape and the other used the new CIMDER tapes, without knowing the other nurse measurements.

Data collection and quality control. The child’s age, weight, length, and height were recorded; next, two independent measurements on the same child (in separate rooms) using new MUAC and new CIMDER tapes were recorded. Nutritional status based on weight-for-age Z-scores was translated to colors later to avoid bias when reading the new MUAC and new CIMDER tapes. A supervisor verified that measurements were being conducted correctly, and checked data for inconsistencies (e.g. classification in the group 3–6 months when the child was 7 months old) 14.

Analysis

The nutritional status with the new MUAC and new CIMDER tapes was classified as follows: red, for scores <-2 standard deviations (SD); yellow, for scores between -2 and -1 SD; green, for scores between -1 and +2 SD; and grey for scores >+2 SD. Statistical analysis was conducted using SAS 9.4 and SPSS 24.0 software. Accuracy analysis included sensitivity, specificity and predictive values (positive and negative), and was expressed as follows: 100-85% ‘very good’; 84–70% ‘good’; 69–55% moderate and ≥55% ‘weak’. Two indexes for interpreting concordance correlation between new MUAC and new CIMDER tapes: Youden index and the Kappa test [16,17].

The concordance strength for Youden and Kappa values was expressed as follows: 0.81–1.00 “very good”, 0.61–0.80 “good”; 0.41–0.60 moderate; and ≤0.40 “weak”. The receiver operation curve (ROC) was also estimated to compare the probability area under both curves for new CIMDER and new MUAC tapes. The ROC curve has an advantage over the other measures because it integrates sensitivity and specificity into a single measure [18].

Likelihood ratios are an alternative for assessing the performance of a diagnostic instrument. The likelihood ratio indicates how many times more (or less) likely a test result is to be found in people with the attribute compared with people without it [19]. Finally, the accuracy test measures the proportion of true positives plus true negatives over all possible results.

Results

Age and weight were used to assess the global nutritional status according to the WHO Z-score standard in 1133 boys, and 1065 girls, for a total of 2198 children. Results indicate that 6.9% of the children were moderately to severely malnourished (red), 17.4% mildly malnourished (yellow), 63.0% well nourished (green), and 12.7% overweight (grey) (Tables 1-3).

Discussion

Several studies analyzed the appropriateness of MUAC to diagnose malnutrition in children less than 5 years old [20,21], Wieringa et al., [22], found that MUAC increases about 1cms for boys and 1.5 for girls between 1 and 5 years and recommend to raise MUAC cut-off with the increase of children´s age. The accuracy of the new CIMDER tapes compared with the new MUAC standard tape is clearly superior as shown by all accuracy measurements in our study (Tables 4,5).

The percentage of red green and grey groups detected with new CIMDER tapes differed slightly from the percentage of WHO Z-score standards. The percentage in yellow detected with new CIMDER tapes was substantially higher than with new MUAC standard tape. Noteworthy, 13% of overweight detected with the WHO Z-score and 8.3% with new CIMDER tapes were higher than the 6.9% and 7.1% in red, that is, there are more overweight than malnourished children among the 2198 study subjects.

The new MUAC standard tape has a very high capacity for detecting boys and girls in the green group, but very low in the other groups. It detected only 1% in red and 2.3% in yellow, compared with the 6.9% and 17.4% respectively using age for weight WHO Z-score standards; the new CIMDER tapes detected 7.1% in red and 24% yellow, closer to the age for weight WHO Z-score standards. These measurements are critical because they include or reject malnourished children for treatment. In the case of well-nourished children, new MUAC standard tape detected 96.7% in green, much higher than the 63% detected with the WHO-Z score standards. New CIMDER tapes detected 60.4% in green, close to the 63.0% detected wit weight for age WHO Z-score standards. Again, this measurement is critical because with the new MUAC standard tape it might contain many false negatives, that is, children classified as well-nourished when they have mild malnutrition. Another weakness, given the current epidemiological world situation, is that the new MUAC standard tape does not have a cut-off for detecting overweight among children (grey) whereas new CIMDER tapes detected 8.3% overweight compared with 13% detected with the WHO Z-scores standard.

Among boys, indicators for the new CIMDER tapes behave better than the new MUAC tape in all age groups, as shown by concordance indicators Youden, Kappa, Likelihood ratio, accuracy ROC and Accurate test, except for ROC in yellow for group 3-6 months of age. Data for red with New MUAC standard tape in all age groups was not considered in estimating accuracy because it is well known that when the estimate is based on less than 10 observations, the true sensitivity, specificity, and predictive value, both positive and negative, could be as low as 45% and as high as nearly 100%, by chance alone. Overall, the results indicate that accuracy in measuring nutritional status of boys less than 5 years of age with the new CIMDER tapes, is higher than the new MUAC standard tape (Table 4).

Among girls, the new CIMDER tapes also behave better than UNICEF tapes in all age groups, and on indicators such as Youden, Kappa, accuracy Likelihood, ROC and Accurate test. Again, UNICEF data in red for all age groups should be considered with caution because cells with less than 10 observations use to yield imprecise results. These results indicate that assessment of nutritional status of girls less than 5 years of age with the new CIMDER tapes, overall, is better than the UNICEF tape. The good accuracy and concordance scores suggest that CIMDER tape is a reliable instrument for classifying the nutritional status of girls aged less than 5 years (Table 5).

Several errors have been identified in obtaining accurate nutritional status when plotting age and weight data and interpreting the growth charts. Also, interpretation of growth charts can be difficult even for some graduate health professionals [23] and ‘road to health’ charts are not appropriate tools for educating parents or caregivers of children. Furthermore, measurements involving height and weight may not offer any additional benefit over MUAC when used for screening childhood malnutrition and identifying risk of death in malnourished children [24,25].

This study has a weakness due to the small numbers of boys and girls in the group ‘severely/moderately malnourished’ that may threat the accuracy of the new MUAC and CIMDER tapes for this group. Constraints of time and place hindered finding enough numbers of moderately to severely malnourished children. However, we put special attention in estimating sensitivity and specificity independently of how the true diagnosis was assessed to avoid introducing bias on measurements; also, bias was reduced by having the two nurses making independent measurements unaware of the child nutritional status based on WHO Z-score standards and being blind about the other.

Conclusion

All indicators used in this study showed a better performance of the new CIMDER tapes compared to the New MUAC tape. Particularly, the new MUAC standard tape detects many false negatives in red, that is, moderate and severe malnourished children that will not receive treatment. In addition, the new CIMDER tapes accurately discriminate the undernourished and overweight children, both, a worldwide growing public health problem.

There is also a need for instruments that can be simple, reliable and easy to use by nonprofessional personnel such as health auxiliaries and promoters, community health volunteers and eventually, by parents. Parental use of the new CIMDER tapes can enable them to continuously track their children physical development at home to a great advantage especially in disperse rural areas, as frequent measurements might encourage parental action to improve their feeding practices in order to move or maintain their children in the ‘green group’. Moving the primary responsibility for monitoring the children nutritional status to parents is a way of democratizing knowledge and making real the community participation on public health programs.

Thanks to the Restrepo Barco Foundation for financial support; Dr. Alex Duran, Cali Municipal Secretary of Health and to Knowledge Production and Management Foundation for conducting the study; managers of Pediatrics Department of Valle University hospital, the public and private health network (Dr. Ruben Zapata of ESE Oriente, Dr. Manuel Leon of ESE Sur Oriente, Dr. Millerlandi Torres, Dr. Jenifer Rivera, and Dr. John Faber Ramirez of ESE Centro), Sister Alba Estela Barreto from Mustard Seed Foundation. Dr. Pedro Vizcaino, Municipal Health Secretary of Jamundi, Dr. Pedro Rodriguez, research coordinator Pilot Hospital of Jamundi. Special thanks to the nurses Maria Lucy Becerra and Rosa Maria Rizo for their excellent fieldwork, and nutritionist Sayda Pico for her technical support.

Conflict of interest

One of the authors who designed and tested the CIMDER tapes before (Echeverri O, 2016), did not participate in field operations nor statistical procedures to avoid bias on data gathering and processing.

Ethical issues

The protocol was approved, in accordance with the Declaration of Helsinki, by the Ethics and Research Committee of the ESE Tomas Uribe Uribe Hospital. Tuluá, Valle del Cauca, Colombia.

  1. Jelliffe DB (1966) The assessment of the nutritional status of the community. World Health Organization 53. Link: https://bit.ly/2EZZUDZ
  2. Shakir A, Morley D (1974) Letter: Measuring malnutrition. Lancet 1: 925. Link: https://bit.ly/2Kg983d
  3. Echeverri O, Boenheim H, Villafañe P (1979) Validación de un instrumento para medir el estado nutricional en niños de 0-6 años. Centro de Investigaciones Multidisciplinarias en Desarrollo Rural. SciELO.org –Scientific electronic library online.
  4. de Feferbaum SR (2011) La cinta de tres colores y otros instrumentos para la salud. IDRC Publication 3-7.
  5. Zerfas AJ (1975) The insertion tape: a new circumference tape for use in nutritional assessment. Am Journal of Clinical Nutrition 28: 782–787. Link: https://bit.ly/2Zrew7f
  6. WHO Working Group (1986) Use and Interpretation of anthropometric indicators for nutritional status. WHO Working Group. Bull World Health Organ 64: 929-941. Link: https://bit.ly/2Ib5KEt
  7. (2006) WHO child growth standards: Methods and development: length/height-for-age, weight-for-age, weight-for-length, weight-for-height and body mass index-for-age: World Health Organization. Link: https://bit.ly/2KL756C
  8. WHO and UNICEF (2009) Child growth standards and the identification of severe acute malnutrition in infants and children. A Joint Statement by the World Health Organization and the United Nations Children’s Fund. WHO and UNICEF. Link: https://bit.ly/2XcbGVW
  9. ENN, SCUK, ACF (2012) Mid-upper Arm Circumference and Weight-for-Height Z-Score as indicators of severe acute malnutrition: a consultation of operational agencies and academic specialists to understand the evidence, identify knowledge gaps, and to inform operational guidance. Link: https://bit.ly/31sUVVV
  10. Myatt MKhara T, Collins S (2006) A review of methods to detect cases of severely malnourished children in the community for their admission into community-based therapeutic care programs. Food Nutrition Bulletin 27: S7-23. Link: https://bit.ly/2WACUBx
  11. Fernandez MA, Delchevalerie P, Van Herp M (2010) Accuracy of MUAC in the detection of severe wasting with the new WHO growth standards. Pediatrics 126: e195-201. Link: https://bit.ly/2WGVr3Y
  12. WHO, WEP, IASC, UNICEF (2017) Community-based management of severe acute malnutrition. Geneva, WHO. Link: https://bit.ly/2F4Z21I
  13. Frison S, Kerac M, Checchi F (2016) Anthropometric indices and measures to assess change in the nutritional status of a population: A systematic literature review. BMC Nutrition 2: 76. Link: https://bit.ly/2KeBgnj
  14. Fiorentino M, Sophonneary P, Laillou A (2016) Current MUAC cut-offs to screen for acute malnutrition need to be adapted to gender and age: The Example of Cambodia. PLoS One 11: e0146442. Link: https://bit.ly/2Ie3QTF
  15. Echeverri O, Saravia J, Hurtado H (2016) New CIMDER measuring tapes for screening nutritional status in children less than 5 years of age. Nutrition Bulletin 41: 232-239. Link: https://bit.ly/2WIbE8U
  16. Eusebi P (2013) Diagnostic accuracy measures. Cerebrovasc Dis 36: 267-272. Link: https://bit.ly/2f3muvE
  17. Altman DG (1991) Practical statistics for medical research. Chapman and Hall/CRC 277–300. Link: https://bit.ly/1Y0YzQj
  18. Gonçalves L, Subtil A, Oliveira MR (2014) Roc Curve estimation: An overview. Statistical Journal 12: 1-20. Link: https://bit.ly/2XIEkv0
  19. letcher RW, Fletcher SW (2005) Clinical Epidemiology: The Essentials. 4th edition. Chapter 3, Diagnosis. Lippincott Williams & Wilkins, Philadelphia, USA. Link: https://bit.ly/2KhlGqQ
  20. Laillou A, Prak S, de Groot R (2014) Optimal screening of children with acute malnutrition requires a change in current WHO Guidelines as MUAC and WHZ identify different patient groups. PLoS ONE 9: 7- e101159. Link: https://bit.ly/2RhTAN6
  21. Talapalliwar MR, Garg BS (2016) Diagnostic accuracy of mid-upper arm circumference (MUAC) for detection of severe and moderate acute malnutrition among tribal children in central India. Int J Med Sci Public Health 5: 1317-1321. Link: https://bit.ly/2WGVWLo
  22. Wieringa FTGauthier LGreffeuille V (2018) Identification of Acute Malnutrition in Children in Cambodia Requires Both Mid-upper Arm Circumference and Weight-For-Height to Offset Gender Bias of Each Indicator. Nutrients 10: E786. Link: https://bit.ly/2XfGnKc
  23. Morley DC (1994) Will growth monitoring continue to be part of primary health care? South African Medical Journal 15-16. Link: https://bit.ly/2KhmCvm
  24. Briend A, Maire B, Fontaine O (2012) Mid-upper arm circumference and weight-for-height to identify high-risk malnourished under-five children. Matern Child Nutr 8: 130-133. Link: https://bit.ly/31tyYGj
  25. Grant A, Njiru J, Okoth E (2018) Comparing performance of mothers using simplified mid-upper arm circumference (MUAC) classification devices with an improved MUAC insertion tape in Isiolo County, Kenya. Arch Public Health. 76: 11. Link: https://bit.ly/2XE0YEU
© 2019 Bergonzoli G, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
 

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