Literature DB >> 22259194

Child mortality as predicted by nutritional status and recent weight velocity in children under two in rural Africa.

Sinéad M O'Neill1, Anthony Fitzgerald, André Briend, Jan Van den Broeck.   

Abstract

WHO has released prescriptive child growth standards for, among others, BMI-for-age (BMI-FA), mid-upper arm circumference-for-age, and weight velocity. The ability of these indices to predict child mortality remains understudied, although growth velocity prognostic value underlies current growth monitoring programs. The study aims were first to assess, in children under 2, the independent and combined ability of these indices and of stunting to predict all-cause mortality within 3 mo, and second, the comparative abilities of weight-for-length (WFL) and BMI-FA to predict short-term (<3 mo) mortality. We used anthropometry and survival data from 2402 children aged between 0 and 24 mo in a rural area of the Democratic Republic of Congo with high malnutrition and mortality rates and limited nutritional rehabilitation. Analyses used Cox proportional hazard models and receiver operating characteristic curves. Univariate analysis and age-adjusted analysis showed predictive ability of all indices. Multivariate analysis without age adjustment showed that only very low weight velocity [HR = 3.82 (95%CI = 1.91, 7.63); P < 0.001] was independently predictive. With age adjustment, very low weight velocity [HR = 3.61 (95%CI = 1.80, 7.25); P < 0.001] was again solely retained as an independent predictor. There was no evidence for a difference in predictive ability between WFL and BMI-FA. This paper shows the value of attained BMI-FA, a marker of wasting status, and recent weight velocity, a marker of the wasting process, in predicting child death using the WHO child growth standards. WFL and BMI-FA appear equivalent as predictors.

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Year:  2012        PMID: 22259194     DOI: 10.3945/jn.111.151878

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  14 in total

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2.  Comparing Attained Weight and Weight Velocity during the First 6 Months in Predicting Child Undernutrition and Mortality.

Authors:  Dongqing Wang; Catherine Schwinger; Willy Urassa; Yemane Berhane; Tor A Strand; Wafaie W Fawzi
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3.  Choosing Anthropometric Indicators to Monitor the Response to Treatment for Severe Acute Malnutrition in Rural Southern Ethiopia-Empirical Evidence.

Authors:  Amare Worku Tadesse; Elazar Tadesse; Yemane Berhane; Eva-Charlotte Ekström
Journal:  Nutrients       Date:  2017-12-08       Impact factor: 5.717

4.  An emergency cash transfer program promotes weight gain and reduces acute malnutrition risk among children 6-24 months old during a food crisis in Niger.

Authors:  Jessica Bliss; Kate Golden; Leila Bourahla; Rebecca Stoltzfus; David Pelletier
Journal:  J Glob Health       Date:  2018-06       Impact factor: 4.413

5.  Effects of unconditional cash transfers on the outcome of treatment for severe acute malnutrition (SAM): a cluster-randomised trial in the Democratic Republic of the Congo.

Authors:  Emmanuel Grellety; Pélagie Babakazo; Amina Bangana; Gustave Mwamba; Ines Lezama; Noël Marie Zagre; Eric-Alain Ategbo
Journal:  BMC Med       Date:  2017-04-26       Impact factor: 8.775

6.  Filling the Gaps for Enhancing the Effectiveness of Community-Based Programs Combining Treatment and Prevention of Child Malnutrition: Results from the Rainbow Project 2015⁻17 in Zambia.

Authors:  Stefania Moramarco; Giulia Amerio; Jean Kasengele Chipoma; Karin Nielsen-Saines; Leonardo Palombi; Ersilia Buonomo
Journal:  Int J Environ Res Public Health       Date:  2018-08-22       Impact factor: 3.390

7.  Severely malnourished children with a low weight-for-height have a higher mortality than those with a low mid-upper-arm-circumference: III. Effect of case-load on malnutrition related mortality- policy implications.

Authors:  Emmanuel Grellety; Michael H Golden
Journal:  Nutr J       Date:  2018-09-15       Impact factor: 3.271

8.  Severely malnourished children with a low weight-for-height have a higher mortality than those with a low mid-upper-arm-circumference: I. Empirical data demonstrates Simpson's paradox.

Authors:  Emmanuel Grellety; Michael H Golden
Journal:  Nutr J       Date:  2018-09-15       Impact factor: 3.271

9.  Mid-upper arm circumference at age of routine infant vaccination to identify infants at elevated risk of death: a retrospective cohort study in the Gambia.

Authors:  Martha K Mwangome; Greg Fegan; Tony Fulford; Andrew M Prentice; James A Berkley
Journal:  Bull World Health Organ       Date:  2012-10-16       Impact factor: 9.408

10.  Using growth velocity to predict child mortality.

Authors:  Catherine Schwinger; Lars T Fadnes; Jan Van den Broeck
Journal:  Am J Clin Nutr       Date:  2016-02-03       Impact factor: 7.045

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