2016
DOI: 10.1186/s40795-016-0060-z
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Identifying acute malnutrition – do we have an answer for policy makers?

Abstract: It is thought that 178 million children are underweight worldwide, and 20 million suffer from severe acute malnutrition each year, which carries a higher mortality. Growth parameters below a nominal cut-off indicate acute or chronic malnutrition, which are used as indicators for commencing therapeutic nutritional intervention in individuals and populations. The World Health Organization and United Nation Children Fund recommend the use of a cut-off for weight-for-height of below −2 standard deviations and -3 s… Show more

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Cited by 2 publications
(2 citation statements)
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“…In 2018, over 49 million children under 5 years were wasted and nearly 17 million were severely wasted [3]. Globally, 20 million children suffer from SAM each year [4]. According to the 2008 lancet series, 10% (55 million children) of children younger than 5 years in low and middle-income countries are wasted [5].…”
Section: Introductionmentioning
confidence: 99%
“…In 2018, over 49 million children under 5 years were wasted and nearly 17 million were severely wasted [3]. Globally, 20 million children suffer from SAM each year [4]. According to the 2008 lancet series, 10% (55 million children) of children younger than 5 years in low and middle-income countries are wasted [5].…”
Section: Introductionmentioning
confidence: 99%
“…The paper recently published by Grellety and Golden [1] and the accompanying commentary [2] sets out to inform the current debate about the optimum method of selection of acutely malnourished children in need of treatment. While it provides interesting information from the authors' own cross-sectional data, its interpretation of published data diverts from the objective of the debate, which is eliminating malnutrition related deaths, and threatens the substantial gains that have been made through the use of mid-upper arm circumference (MUAC) in community-based nutrition programs.…”
Section: Introductionmentioning
confidence: 99%