Loading...
cancel

Letter to the Editor

Feasibility and diagnostic accuracy of using armband mid-upper arm circumference as a simple screening tool for maternal wasting in rural India

AUTHORS

Vani Sethi1 PhD, Nutrition Specialist *

Rabi N Parhi2 PhD, Nutrition Specialist

Shivani Dar3 MSc, Nutrition Officer

Sutapa Agrawal4 PhD, Epidemiologist

CORRESPONDENCE

* Vani Sethi

AFFILIATIONS

1 UNICEF India Country Office, New Delhi, India

2, 3 UNICEF Bihar Field Office, Patna, Bihar, India

4 Public Health Foundation of India, Gurgaon, Haryana, India

PUBLISHED

26 October 2017 Volume 17 Issue 4

HISTORY

RECEIVED: 28 September 2016

REVISED: 16 March 2017

ACCEPTED: 9 May 2017

CITATION

Sethi V, Parhi RN, Dar S, Agrawal S.  Feasibility and diagnostic accuracy of using armband mid-upper arm circumference as a simple screening tool for maternal wasting in rural India. Rural and Remote Health 2017; 17: 4221. https://doi.org/10.22605/RRH4221

AUTHOR CONTRIBUTIONS

© Vani Sethi, Rabi N Parhi, Shivani Dar, Sutapa Agrawal 2017 A licence to publish this material has been given to James Cook University, jcu.edu.au


full article:

Dear Editor

Lack of a single, universally accepted, and widely accessible approach to diagnosing and documenting adult malnutrition has impeded accurate estimations of human and financial burdens associated with prevention and treatment of malnutrition1. In January 2016 we tested the feasibility of armband mid-upper arm circumference (MUAC)<23 cm as a simple screening tool for maternal nutritional status and its diagnostic accuracy during a monthly village health and nutrition day in Bihar state, India. Using standard methods, weight, height and MUAC measurements were taken for 99 adolescent and adult women by trained health workers. Measurement time for armband MUAC, MUAC by non-stretchable tape and height by a stadiometer were compared. MUAC diagnostic accuracy was tested against body mass index (BMI)<18.5 kg/m2 as the gold standard. A total of 82.5% of participants had a BMI of less than 18.5 kg/m2 with the mean BMI of the sample population being 16.37 kg/m2 and the mean age 20.5±5 years. The result shows that the proportions of women with MUAC<23 cm and MUAC<21 cm were 29% and 69%, respectively. MUAC<23 cm in women (area under curve=0.75) had the highest Youden's index (0.64), which corresponds to BMI<18.5 kg/m2. A strong significant power of association (r) between MUAC and BMI<18.5 kg/m2 was found in adolescent girls (r=0.64; p<0.0001), but only a slightly moderate association for adult women (r=0.47; p=0.005). Taking the MUAC cut-off, 49% adult women were found to be under-nourished compared to 51% using the BMI underweight cut-off. Similarly, 81% of adolescent girls were found to be under-nourished taking the MUAC cut-off value compared to 89% by using the BMI underweight cut-off.
Although BMI has been well established as a useful indicator to assess nutritional status, at the field level it has limitations because it involves multiple instruments like stadiometers and accurate weighing scales to measure height and weight. Our study demonstrated that, with limited capacity of health workers to use equipment (stadiometer, weighing scale, BMI chart), we found armband MUAC<23 cm to be the most viable screening tool for identifying nutritionally at-risk women at the community level, even in a busy village health and nutrition day in a resource-poor setting. Average measuring time per person for armband MUAC was 10 s, compared to 54 s for MUAC using non-stretchable tape and 59 s for height using a stadiometer. MUAC correlates closely with BMI. For its simplicity and ease of remembering, MUAC<23 cm for adolescents and <22.5 cm for adult women may be considered as a simpler alternative to BMI cut-off <18.5 kg/m2 to detect under-nutrition. Studies in similar settings have also shown that use of MUAC has improved the ability of front-line health workers to screen and assess for acute malnutrition among children for community-based management of acute malnutrition services2-4. Studies comparing diagnostic accuracy established that MUAC correlates well with BMI in adult populations5-10.

In India, where healthcare providers are limited in number, and are required more for service delivery than for field nutritional data collection or validation, armband MUAC could be considered as a viable cost- and time-effective measurement tool for screening women at risk of under-nutrition in rural settings. Measurement of armband MUAC requires minimal equipment and calculations as compared to BMI or other anthropometric measurements. It also offers the advantages of being a simple and relatively inexpensive measurement that can be carried out at both community- and facility-based settings. Armband MUAC should thus be promoted to screen for nutritional status of women in low-resource settings to determine eligibility to provide nutrition support to them. Additional feasibility studies in similar settings and a high level of advocacy are required to recognize armband MUAC as a cost- and time-effective screening tool for identifying women at risk of under-nutrition in India.

Vani Sethi, Nutrition Specialist, UNICEF India Country Office, New Delhi, India
Rabi N. Parhi, Nutrition Specialist, UNICEF Bihar Field Office, Patna, Bihar, India
Shivani Dar Nutrition Officer, UNICEF Bihar Field Office, Patna, Bihar, India
Sutapa Agrawal, Epidemiologist, Public Health Foundation of India, Gurgaon, Haryana, India

References

1 White JV, Guenter P, Jensen G, Malone A, Schofield M, Academy of Nutrition and Dietetics Malnutrition Work Group, et al. Consensus statement of the Academy of Nutrition and Dietetics/American Society for Parenteral and Enteral Nutrition: Characteristics Recommended for the Identification and Documentation of Adult Malnutrition (Undernutrition). Journal of the Academy of Nutrition and Dietetics 2011; 112(5): 730-738.
2 Collins S. Using middle upper arm circumference to assess severe adult malnutrition during famine. Journal of the American Medical Association 1996; 276(5): 391-395.
3 Brown KH, Nyirandutiye DH, Jungjohann S. Management of children with acute malnutrition in resource-poor settings. Nature Review Endocrinology 2009; 5(11): 597-603.
4 Nyirandutiye DH, Ag Iknane A, Fofana A, Brown KH. Screening for acute childhood malnutrition during the national nutrition week in mali increases treatment referrals. PLoS ONE 2011; 6(6): e14818.
5 Chakraborty R, Bose K, Koziel S. Use of mid-upper arm circumference in determining undernutrition and illness in rural adult Oraon men of Gumla District, Jharkhand, India. Rural and Remote Health 2001; 11: 1754. Available: www.rrh.org.au (Accessed 26 October 2017).
6 Dasgupta A, Butt A, Saha TK, Basu G, Chattopadhyay A, Mukherjee A. Assessment of malnutrition among adolescents: can BMI be replaced by MUAC?. Indian Journal of Community Medicine 2010; 35(2): 276-279.
7 Chakraborty R, Bose K, Bisai S. Mid-upper arm circumference as a measure of nutritional status among adult Bengalee male slum dwellers of Kolkata, India: relationship with self-reported morbidity. Anthropologischer Anzeiger 2009; 67(2): 129-137.
8 Martin AC, Pascoe EM, Forbes DA. Monitoring nutritional status accurately and reliably in adolescents with anorexia nervosa. Journal of Paediatrics & Child Health 2009; 45(1-2): 53-57.
9 Kaushik, B, Bisai S, Das P, Dikshit S, Pradhan S. Relationship of income with anthropometric indicators of chronic energy deficiency among adult female slum dwellers of Midnapore Town. Journal of Human Ecology 2007; 22(2): 171-176.
10 Collins, S. Dent N, Binns P, Bahwere P, Sadler K, Hallam A. Management of severe acute malnutrition in children. Lancet 2006; 368(9551): 1992-2000.