2018
DOI: 10.1186/s13690-018-0321-1
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Does treatment of short or stunted children aged 6–59 months for severe acute malnutrition using ready to use therapeutic food make them overweight? Data from Malawi

Abstract: BackgroundUsing mid-upper arm circumference (MUAC) to identify severe acute malnutrition (SAM) tends to identify younger and stunted children compared to alternative anthropometric case-definitions. It has been asserted by some experts, without supporting evidence, that stunted children with low MUAC may have normal weight for height and treatment with ready to use therapeutic food (RUTF) will cause excess adiposity, placing the child at risk for non-communicable diseases (NCD) later in life. It is recommended… Show more

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Cited by 14 publications
(14 citation statements)
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“…While the literature is replete with the factors predisposing children to SAM and other poor nutrition outcomes, decomposition of these factors on key variables significant to poor nutrition is scarce in the literature. The identified factors are largely individual and household factors such as food insecurity, inadequate care and feeding, unhealthy environment, poor access to education, child's age and sex, and mothers' employment status and income [1,[6][7][8][9][10][11][12]. In a recent hierarchical analysis of factors associated with SAM in 51 LMIC, Fagbamigbe et al identified maternal educational attainment, household wealth status and rural-urban differentials in the location of residence as the main determinants of whether a child has SAM or not [13].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…While the literature is replete with the factors predisposing children to SAM and other poor nutrition outcomes, decomposition of these factors on key variables significant to poor nutrition is scarce in the literature. The identified factors are largely individual and household factors such as food insecurity, inadequate care and feeding, unhealthy environment, poor access to education, child's age and sex, and mothers' employment status and income [1,[6][7][8][9][10][11][12]. In a recent hierarchical analysis of factors associated with SAM in 51 LMIC, Fagbamigbe et al identified maternal educational attainment, household wealth status and rural-urban differentials in the location of residence as the main determinants of whether a child has SAM or not [13].…”
Section: Introductionmentioning
confidence: 99%
“…Inequalities in maternal education remain key barriers to the occurrence of SAM among U5C [9,11,12,[15][16][17][18]. However, the underlying causes of educational inequalities in the development of SAM among U5C remain poorly operationalized, studied and understood.…”
Section: Introductionmentioning
confidence: 99%
“…The identified factors are largely individual and household factors such as food insecurity, inadequate care and feeding, unhealthy environment, poor access to education, child's age and sex, and mothers' employment status and income [1,[6][7][8][9][10][11][12]. In a recent hierarchical analysis of factors associated with SAM in 51 LMIC, Fagbamigbe et al identified maternal educational attainment, household wealth status and rural-urban differentials in the location of residence as the main determinants of whether a child has SAM or not [13].…”
Section: Introductionmentioning
confidence: 99%
“…The identified factors are largely individual and household factors such as food insecurity, inadequate care and feeding, unhealthy environment, poor access to education, child's age and sex, and mothers' employment status and income [1,[6][7][8][9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%