Concordance between estimates of acute malnutrition measured by weight-for-height and by mid-upper arm circumference after age adjustment: population-representative surveys from humanitarian settings.
Humanitarian
Nutrition
Survey
Wasting
Journal
BMC nutrition
ISSN: 2055-0928
Titre abrégé: BMC Nutr
Pays: England
ID NLM: 101672434
Informations de publication
Date de publication:
2019
2019
Historique:
received:
08
10
2018
accepted:
11
07
2019
entrez:
11
3
2020
pubmed:
11
3
2020
medline:
11
3
2020
Statut:
epublish
Résumé
Mid-upper arm circumference (MUAC) and weight-for-height (WHZ) are commonly used indicators to identify acute malnutrition. However, MUAC and WHZ diagnose different children, and produce prevalence estimates that are meaningfully different. Previous research in Somalia has suggested improved concordance using MUAC-for-age (MUACZ) rather than MUAC. We further evaluate the relationship between MUACZ, MUAC, and WHZ using surveys conducted globally. We analyzed 882 population representative surveys from 41 countries. Children ages 6-59 months were classified as acutely malnourished using three independent criteria: WHZ < - 2 (WHZ2), MUAC< 125 mm (MUAC125), MUACZ < - 2 (MUACZ2). Population prevalence using each of the three criteria are presented by country and region. Correlations of survey prevalence for each indicator pair were assessed. Multivariable regression models of MUACZ and MUAC125 adjusted for WHZ2, stunting prevalence, age, and sex. To evaluate individual level diagnostic concordance, we compared the proportion of children identified by each of the three criteria. Median prevalence of acute malnutrition overall was highest for MUACZ2 (14.0%) followed by WHZ2 (10.6%), and lowest for MUAC125 (7.3%). The absolute difference in prevalence between MUACZ2 and WHZ2 was smaller than the difference between MUAC125 and WHZ2 for 51.3% of surveys. The correlations of WHZ2 with both MUACZ2 as well as with MUAC125 were weak, positive associations (Pearson's r = 0.5757 and 0.4943, respectively), but MUAC125 and MUACZ2 had a strong, linear relationship (Pearson's r = 0.9265). The adjusted regression model for MUACZ2 had greater fit (R MUACZ identified more children as malnourished than MUAC, resulting in a higher prevalence of acute malnutrition in nearly all settings. Prevalence by MUACZ was not consistently more similar to WHZ than that estimated by MUAC, and correlations with WHZ were only slightly improved relative to MUAC. Consequently, programmatic use of MUACZ cannot be justified based on improved concordance with WHZ. Further research on morbidity and mortality of children with low MUACZ only are needed before recommending MUACZ for wider use.
Sections du résumé
BACKGROUND
BACKGROUND
Mid-upper arm circumference (MUAC) and weight-for-height (WHZ) are commonly used indicators to identify acute malnutrition. However, MUAC and WHZ diagnose different children, and produce prevalence estimates that are meaningfully different. Previous research in Somalia has suggested improved concordance using MUAC-for-age (MUACZ) rather than MUAC. We further evaluate the relationship between MUACZ, MUAC, and WHZ using surveys conducted globally.
METHODS
METHODS
We analyzed 882 population representative surveys from 41 countries. Children ages 6-59 months were classified as acutely malnourished using three independent criteria: WHZ < - 2 (WHZ2), MUAC< 125 mm (MUAC125), MUACZ < - 2 (MUACZ2). Population prevalence using each of the three criteria are presented by country and region. Correlations of survey prevalence for each indicator pair were assessed. Multivariable regression models of MUACZ and MUAC125 adjusted for WHZ2, stunting prevalence, age, and sex. To evaluate individual level diagnostic concordance, we compared the proportion of children identified by each of the three criteria.
RESULTS
RESULTS
Median prevalence of acute malnutrition overall was highest for MUACZ2 (14.0%) followed by WHZ2 (10.6%), and lowest for MUAC125 (7.3%). The absolute difference in prevalence between MUACZ2 and WHZ2 was smaller than the difference between MUAC125 and WHZ2 for 51.3% of surveys. The correlations of WHZ2 with both MUACZ2 as well as with MUAC125 were weak, positive associations (Pearson's r = 0.5757 and 0.4943, respectively), but MUAC125 and MUACZ2 had a strong, linear relationship (Pearson's r = 0.9265). The adjusted regression model for MUACZ2 had greater fit (R
CONCLUSIONS
CONCLUSIONS
MUACZ identified more children as malnourished than MUAC, resulting in a higher prevalence of acute malnutrition in nearly all settings. Prevalence by MUACZ was not consistently more similar to WHZ than that estimated by MUAC, and correlations with WHZ were only slightly improved relative to MUAC. Consequently, programmatic use of MUACZ cannot be justified based on improved concordance with WHZ. Further research on morbidity and mortality of children with low MUACZ only are needed before recommending MUACZ for wider use.
Identifiants
pubmed: 32153952
doi: 10.1186/s40795-019-0301-z
pii: 301
pmc: PMC7050908
doi:
Types de publication
Journal Article
Langues
eng
Pagination
39Informations de copyright
© The Author(s). 2019.
Déclaration de conflit d'intérêts
Competing interestsAll authors declare that they have no competing interests; no support from any organization for the submitted work; no financial relationships with any organizations that might have an interest in the submitted work in the previous 3 years; no other relationships or activities that could appear to have influenced the submitted work.
Références
BMC Nutr. 2018;4:24
pubmed: 31911840
Am J Clin Nutr. 2017 Nov;106(5):1232-1237
pubmed: 28978541
World Health Organ Tech Rep Ser. 1995;854:1-452
pubmed: 8594834
PLoS One. 2016 Dec 28;11(12):e0168585
pubmed: 28030627
Food Nutr Bull. 2006 Sep;27(3 Suppl):S7-23
pubmed: 17076211
Eur J Clin Nutr. 2012 Sep;66(9):998-1003
pubmed: 22805497
J Trop Pediatr (1967). 1969 Dec;15(4):177-260
pubmed: 5309233
Nutr J. 2018 Sep 15;17(1):79
pubmed: 30217205
BMC Pediatr. 2008 May 05;8:19
pubmed: 18457590
BMJ. 2017 Aug 3;358:j3423
pubmed: 28774873
Ups J Med Sci. 1992;97(1):93-106
pubmed: 1381851
Bull World Health Organ. 1997;75(1):11-8
pubmed: 9141745
BMC Nutr. 2018 Feb 21;4:8
pubmed: 32153872