Literature DB >> 7931717

Child anthropometry and mortality in Malawi: testing for effect modification by age and length of follow-up and confounding by socioeconomic factors.

D L Pelletier1, J W Low, F C Johnson, L A Msukwa.   

Abstract

As shown in a review of 28 studies, anthropometric measurements of preschool-aged children are consistently related to the risk of subsequent mortality in community-based studies from Asia and Africa (Pelletier 1994). Although the results are consistent at this general level, a number of important questions remain concerning the relationship. The purpose of this study is to address two of these questions using data from a similar study conducted in rural northern Malawi: 1) In relation to screening, are the anthropometry-mortality relationships affected by the child's age and the interval between measurement and death ("length of follow-up") and 2) In relation to policy implications, is the anthropometry-mortality relationship due to confounding by socioeconomic factors, especially when considering mild-to-moderate malnutrition. The results reveal that mortality prediction is significantly affected by child's age and length of follow-up, but the strength and direction of this effect modification varies across the four commonly used anthropometric indicators [weight-for-age (WA), height-for-age (HA), weight-for-height (WH) and arm circumference-for-age (ACA)]. An important result for public health practice is that there are no statistically significant differences in prediction across these four indicators when applied to young children (6-23 mo) and employing a 1-y follow-up period. As regards confounding, the results indicate that the anthropometry-mortality relationship is not due to confounding by socioeconomic factors when all grades of malnutrition are considered. When only mild-to-moderate malnutrition is considered, statistically controlling for confounders reduces most of the anthropometric predictors to nonsignificance (probability values to > 0.20), but the strength of the association (odds ratio) remains of the same order of magnitude. However, when effect modification by child's age and length of follow-up is taken into account, the effect of mild-to-moderate malnutrition (WA and WH) remains statistically significant for young children dying with 1 y of follow-up.

Entities:  

Keywords:  Africa; Africa South Of The Sahara; Age Factors; Anthropometry; Child; Child Mortality; Data Analysis; Demographic Factors; Developing Countries; Eastern Africa; Economic Factors; English Speaking Africa; Malawi; Measurement; Mortality; Population; Population Characteristics; Population Dynamics; Research Report; Socioeconomic Factors; Youth

Mesh:

Year:  1994        PMID: 7931717     DOI: 10.1093/jn/124.suppl_10.2082S

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


  11 in total

1.  Does the 65 cm height cut-off as age proxy exclude children eligible for nutritional assessment in Bangladesh?

Authors:  E Ali; R Zachariah; S G Hinderaker; S Satyanarayana; W Kizito; P Alders; Z Shams; M Allaouna; B Draguez; P Delchevalerie; D A Enarson
Journal:  Public Health Action       Date:  2012-11-15

2.  The development of a MUAC-for-height reference, including a comparison to other nutritional status screening indicators.

Authors:  Z Mei; L M Grummer-Strawn; M de Onis; R Yip
Journal:  Bull World Health Organ       Date:  1997       Impact factor: 9.408

3.  Predicting mortality for paediatric inpatients where malaria is uncommon.

Authors:  Dana C Clifton; Habib O Ramadhani; Levina J Msuya; Boniface N Njau; Grace D Kinabo; Ann M Buchanan; John A Crump
Journal:  Arch Dis Child       Date:  2012-08-07       Impact factor: 3.791

4.  Children successfully treated for moderate acute malnutrition remain at risk for malnutrition and death in the subsequent year after recovery.

Authors:  Cindy Y Chang; Indi Trehan; Richard J Wang; Chrissie Thakwalakwa; Ken Maleta; Megan Deitchler; Mark J Manary
Journal:  J Nutr       Date:  2012-12-19       Impact factor: 4.798

5.  Supplementary feeding with fortified spreads results in higher recovery rates than with a corn/soy blend in moderately wasted children.

Authors:  Danielle K Matilsky; Kenneth Maleta; Tony Castleman; Mark J Manary
Journal:  J Nutr       Date:  2009-02-18       Impact factor: 4.798

6.  Home based therapy for severe malnutrition with ready-to-use food.

Authors:  M J Manary; M J Ndkeha; P Ashorn; K Maleta; A Briend
Journal:  Arch Dis Child       Date:  2004-06       Impact factor: 3.791

Review 7.  Association between anthropometry-based nutritional status and malaria: a systematic review of observational studies.

Authors:  Efrem d'Avila Ferreira; Márcia A Alexandre; Jorge L Salinas; André M de Siqueira; Silvana G Benzecry; Marcus V G de Lacerda; Wuelton M Monteiro
Journal:  Malar J       Date:  2015-09-17       Impact factor: 2.979

8.  Comparison of Mid-Upper Arm Circumference and Weight-for-Height to Diagnose Severe Acute Malnutrition: A Study in Southern Ethiopia.

Authors:  Amare Worku Tadesse; Elazar Tadesse; Yemane Berhane; Eva-Charlotte Ekström
Journal:  Nutrients       Date:  2017-03-11       Impact factor: 5.717

9.  Cost effectiveness of community-based therapeutic care for children with severe acute malnutrition in Zambia: decision tree model.

Authors:  Max O Bachmann
Journal:  Cost Eff Resour Alloc       Date:  2009-01-15

10.  Using weight-for-age for predicting wasted children in Cameroon.

Authors:  Georges Nguefack-Tsague; Agatha Tanya Nguti Kien; Charles Ntungwen Fokunang
Journal:  Pan Afr Med J       Date:  2013-03-11
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.