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Anthropometric criteria for best-identifying children at high risk of mortality: a pooled analysis of twelve cohorts

Authors :
Tanya Khara
Mark Myatt
Kate Sadler
Paluku Bahwere
James A Berkley
Robert E Black
Erin Boyd
Michel Garenne
Sheila Isanaka
Natasha Lelijveld
Christine McDonald
Andrew Mertens
Martha Mwangome
Kieran O’Brien
Heather Stobaugh
Sunita Taneja
Keith P West
André Briend
Source :
Public Health Nutrition, Vol 26, Pp 803-819 (2023)
Publication Year :
2023
Publisher :
Cambridge University Press, 2023.

Abstract

Abstract Objective: To understand which anthropometric diagnostic criteria best discriminate higher from lower risk of death in children and explore programme implications. Design: A multiple cohort individual data meta-analysis of mortality risk (within 6 months of measurement) by anthropometric case definitions. Sensitivity, specificity, informedness and inclusivity in predicting mortality, face validity and compatibility with current standards and practice were assessed and operational consequences were modelled. Setting: Community-based cohort studies in twelve low-income countries between 1977 and 2013 in settings where treatment of wasting was not widespread. Participants: Children aged 6 to 59 months. Results: Of the twelve anthropometric case definitions examined, four (weight-for-age Z-score (WAZ)

Details

Language :
English
ISSN :
13689800 and 14752727
Volume :
26
Database :
Directory of Open Access Journals
Journal :
Public Health Nutrition
Publication Type :
Academic Journal
Accession number :
edsdoj.4fe9e0e54cd84742bca08e4467165001
Document Type :
article
Full Text :
https://doi.org/10.1017/S136898002300023X