Assessing effectiveness of a novel mid-upper arm circumference Z-score tape in a community setting in Guatemala

Measurement of mid-upper arm circumference to screen for childhood malnutrition: General applicability and use in special populations

Since the development of consensus-recommended indicators for pediatric malnutrition in 2014, screening and diagnosis of pediatric malnutrition have improved, but the indicators are not always used; malnutrition continues to be underdiagnosed in some community and healthcare settings. In particular, mid-upper arm circumference (MUAC) is underused as a screening indicator for pediatric malnutrition, despite its unique advantages and usefulness in several clinical situations. In December 2022, a scientific roundtable was held to bring together several experts in pediatric malnutrition. One of the goals of the scientific roundtable was to discuss the clinical use of anthropometric measures as screening tools for pediatric malnutrition status, with a focus on the use of MUAC. This article arose from that event and is intended as an educational tool to aid clinicians in implementing MUAC measurements. In addition to describing the use of MUAC as a screening tool, the article discusses several clinical situations in which MUAC is especially useful. Additionally, the article reviews practical aspects of measuring and interpreting MUAC values, provides links to additional educational resources, and briefly reviews areas in which further research is needed regarding the use of MUAC for screening of nutrition status in children.

A cross-sectional study evaluating the prevalence and predictors of malnutrition among children and adolescents visiting an urban academic hospital in Nepal

OBJECTIVE

To examine the prevalence of malnutrition among children and adolescents visiting Kanti Children’s Hospital (KCH) and identify predictors associated with malnutrition. Results will guide the development of a newly established nutrition programme at KCH.

DESIGN

This cross-sectional pilot study recruited children and adolescents over a 1-month period. Nutritional anthropometrics (height, weight and mid-upper arm circumference (MUAC)) and socio-demographic questionnaires were administered. Clinical data were abstracted from the medical chart.

SETTING

KCH in Kathmandu, Nepal.

PARTICIPANTS

370 children and adolescents.

RESULTS

Most participants were male (65·1 %); mean age was 3·9 years (±3·4 years). The prevalence of stunting was 25·9 %, wasting was 17·3 % and 24·0 % when classified by BMI-for-age Z-score or MUAC, respectively. Two percent of participants were overweight. Notably, 32·1 % of children ≥5 years were classified with wasting based on MUAC-for-age Z-score, which is higher than that observed in children <5 (20·2 %). Food insecurity was reported among 58·2 % of children with stunting and 34·0 % with wasting. Chronic medical conditions predicted stunting and wasting. The lowest level of wealth predicted stunting, while ethnicity predicted wasting. Ethnicity and education level predicted food insecurity.

CONCLUSIONS

We found that the prevalence of stunting and wasting at KCH are higher than previously published studies in Nepal. Malnutrition persists beyond 5 years, and we identified several predictors of malnutrition. Increased provision of and access to clinical nutrition programmes is an essential need for KCH. Twinning programs that provide local clinicians with increased opportunities for education and mentorship of local staff remains a pressing need in Nepal.

A cross-sectional study of anthropometry and immunization coverage of Anganwadi children in a rural area of Karnataka

Background

Children are a supreme asset to a nation. Beginning six years of life is pivotal for the social, emotional, cognitive, physical, motor, and psychological upbringing of the child. National Family Health Survey (NFHS) 5 data shows 41.9% of children die before the age of five years, with greater mortality in the rural areas (45.7%). The present study was conducted to assess the anthropometric profile and immunization status of children in Anganwadi centers.

Materials and Methods

A community-based cross-sectional study was conducted in 21 Anganwadi centers in a rural area in South India. The anthropometry (height, weight, mid-upper arm circumference), morbidity profile, and immunization status of the enrolled and available children were assessed with the help of WHO growth charts, Salter scale, clinical examination, immunization cards, and data from Anganwadi registers.

Statistical analysis

Data were compiled and analyzed using SPSS software version 20. Descriptive data were interpreted as mean and percentages and associations were tested with the Chi-square test, and Fisher's exact test. A P value of <0.05 was considered to be statistically significant.

Results

Around 400 children, aged 0-6 years, participated in the study. The mean age of the study population was 42.08 ± 12.55 months. The overall prevalence of underweight, stunting, and wasting was 52%, 54%, and 47.5% respectively. The most common morbidity was upper respiratory tract infection (11.5%). A majority (97.5%) of children were found to be immunized appropriately as per age.

Conclusion

The prevalence of malnutrition was alarmingly high which warrants urgent referral and follow-up. The ICDS services, although substantially beneficial, need focal strengthening with regard to the nutritional status of enrolled children.

The significance of MUAC z-scores in diagnosing pediatric malnutrition: A scoping review with special emphasis on neurologically disabled children

This review by a panel of pediatric gastroenterology-hepatology-nutrition and pediatric neurology experts aimed to address the significance of mid-upper arm circumference (MUAC) assessment in diagnosis of pediatric malnutrition. Specifically, the potential utility of recently developed MUAC z-score tape in clinical practice for larger patient populations was addressed including the neurologically disabled children. In accordance with the evidence-based data, four statements were identified by the participating experts on the utility of MUAC z-score tape, including (1) MUAC z-scores correlate with body mass index (BMI) and weight for height/length (WFH/l) z-scores in diagnosing malnutrition; (2) MUAC z-score tape offers a higher sensitivity to diagnose the mild and moderate malnutrition and better ability to track the changes in nutritional status over time than the other single datapoint measurements; (3) Using single-step MUAC z-score tape in children with cerebral palsy (CP) seems to provide more reliable data on anthropometry; and (4) The clinical value of the tool in classifying secondary malnutrition in CP should be investigated in large-scale populations. In conclusion, enabling single-step estimation of nutritional status in a large-scale pediatric population regardless of age and within a wide range of weight, without formal training or the need for ancillary reference charts and calculators, MUAC z-tape offers a favorable tool for easier and earlier diagnosis of pediatric malnutrition. Nonetheless, further implementation of MUAC z-score screening in larger-scale and/or special populations is necessary to justify its utility in relation to other primary anthropometric indicators in diagnosis of malnutrition as well as in treatment monitoring in the community and hospital setting.

Does a child's mid-upper arm circumference-for-age z-score represent another nutritional indicator of childhood malnutrition status?

Child wasting is defined as a weight-for-height/length z-score (WLZ/WHZ) < -2, and this indicator of nutritional status is used worldwide. However, a precise measurement is required for the assessment of a child's nutritional status, which may not always be possible due to expensive instruments, especially in poor resource settings. In some instances, mid-upper arm circumference-for-age z-score (MUACZ) is also being used for screening purposes, which is a simple and useful nutritional indicator. The objective of this paper is to identify the optimal cut-off point for the MUACZ to identify wasted children, and also to determine if the same factors are associated with MUACZ and wasting. Data were derived from the Suchana evaluation data. The optimal cut-off value was estimated via receiver operating characteristic (ROC) curve analysis using acute malnutrition as a gold standard with maximum sensitivity and specificity. Multiple logistic regression was used to assess the associated factors with the MUACZ. Using the gold standard indicator of nonwasting (WLZ ≥ -2), a positive outcome, the optimal cut-off point for the MUACZ was -1.27. The area under the ROC curve was 0.88, indicating that the model had a power of 88% to differentiate between the positive and negative classes. It implies that a child's MUACZ was correlated with WLZ, and a MUACZ below -1.27 appeared to accurately identify wasting among children aged 3-23 months. MUACZ < -1.27 might be another useful indicator of childhood wasting than a WLZ < -2.

Public Health Implications of Wasting and Stunting Relationship in Children under Five Years Highly Vulnerable to Undernutrition in Guatemala: The REDAC Study

(1) Background: Guatemala is the Latin American country with the highest prevalence of childhood stunting. Short height can bias the diagnosis of wasting when using the weight-for-height indicator. The aim of this study was to evaluate the diagnostic concordance of the anthropometric indicators of wasting and the relationship between wasting and stunting in children from highly vulnerable communities in Guatemala. (2) Methods: The sample consisted of 13,031 anthropometric records of children under five years of age (49.5% girls, average age of 27.9 months), including weight, height, and mid-upper arm circumference (MUAC), collected in March–August 2019. The proportions of stunting, underweight, and wasting, assessed by three different indicators, as well as their concurrence through the Composite Index of Anthropometric Failure were calculated. (3) Results: Stunting affected 73% of the sample, and 74.2% showed anthropometric failure. Wasting varied by indicator (weight-for-height: 2.8%; MUAC: 4.4%; MUAC-for-age: 10.6%). Concordance between MUAC and weight-for-height was very low (Kappa: 0.310; sensitivity: 40.9%). MUAC identified more wasted children in the stunted group (53.6% vs. 26.5%), while the opposite occurred in the non-stunted group (34.8% vs. 46.7%). (4) Conclusion: The presence of stunting affected the diagnosis of wasting, and both indicators should be included as diagnostic criteria for screening campaigns and in the treatment of moderate to acute wasting in vulnerable populations affected by multiple forms of undernutrition.

Pediatric malnutrition screening and assessment tools: Analyzing the gaps

Pediatric healthcare professionals know that children who are malnourished have worse clinical outcomes than do their well-nourished peers. The body of evidence in the literature on the topic of pediatric malnutrition (PMN) is growing and supports this conclusion. The goal of this article is to present the current state of practice related to PMN screening, the use of malnutrition risk screening (MNRS) tools, malnutrition assessment, and the use of malnutrition assessment tools. The purpose is also to discuss best practice for MNRS and assessment and to consider the gaps in practice where additional work is needed.

Association between mid-upper arm circumference and body mass index in pregnant women to assess their nutritional status

BACKGROUND

Underweight/ Undernourished is a state when the body mass index (BMI) falls below 18.5 kg/m2 and as per National Family and Health Survey-4, 22.9% of women in the reproductive age group fall into this category. Despite being considered as an important anthropometry marker, it is not measured in most of the healthcare facilities across India due to lack of basic amenities and resources. In such instances, how helpful other indicators like mid-upper arm circumference (MUAC) can be to measure the undernourished status of pregnant needs to be determined.

OBJECTIVES

To estimate the prevalence of undernutrition in pregnant women (PW) based on baseline BMI and MUAC and to determine the association between them.

MATERIALS AND METHODS

A cross-sectional study was conducted in Tangi Block of Odisha among 440 PW (in the first trimester) from July 2018 to November 2018 using a pre-tested, validated questionnaire and anthropometric instruments.

RESULTS

PW having BMI <18.5 kg/m2 were found to be 16.6% and having MUAC <23.5 cm were 19.5%. A significant association was found between BMI and MUAC [aOR 7.91 (4.27-14.65)]. Also, a moderate correlation was established between the indicators (r = 0.57).

CONCLUSION

MUAC can be used instead of BMI as it is easier to measure, cheaper, does not require any training or calculations, and insensitive to changes during the period of gestation unlike BMI. This can be beneficial to the healthcare workers at primary level who are in resource-limited settings.