Literature DB >> 2888951

Arm circumference and other factors in children at high risk of death in rural Bangladesh.

A Briend1, B Wojtyniak, M G Rowland.   

Abstract

Mid upper arm circumference (MUAC) was measured monthly for 6 months in about 500 children aged 6-36 months from rural Bangladesh. Children who would die within 1 month of screening could be identified with 94% specificity and 56% sensitivity--almost twice the sensitivity achieved by other anthropometric screening schemes for this level of specificity. Specificity was slightly improved when the absence of breast-feeding, concurrent diarrhoea, oedema, and acute respiratory infection were taken into account. Children at high risk of death can be detected by monthly measurement of MUAC, which may be used in poor communities where interventions have to be selective.

Entities:  

Keywords:  Anthropometry; Asia; Bangladesh; Child Mortality; Child Nutrition; Community Health Services; Delivery Of Health Care; Demographic Factors; Developing Countries; Diseases; Epidemiologic Methods; Health; Health Services; Malnutrition; Measurement; Medicine; Mortality; Nutrition; Nutrition Disorders; Population; Population At Risk; Population Dynamics; Preventive Medicine; Primary Health Care; Public Health; Research Methodology; Research Report; Resource Allocation; Southern Asia

Mesh:

Year:  1987        PMID: 2888951     DOI: 10.1016/s0140-6736(87)91084-1

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


  21 in total

1.  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

2.  The effect of maternal and child health and family planning services on mortality: is prevention enough?

Authors:  V Fauveau; B Wojtyniak; J Chakraborty; A M Sarder; A Briend
Journal:  BMJ       Date:  1990-07-14

3.  The development of MUAC-for-age reference data recommended by a WHO Expert Committee.

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

4.  Anthropometry and childhood mortality in northwest and southwest Uganda.

Authors:  V Vella; A Tomkins; A Borghesi; G B Migliori; J Ndiku; B C Adriko
Journal:  Am J Public Health       Date:  1993-11       Impact factor: 9.308

5.  Critical assessment of the use of growth monitoring for identifying high risk children in primary health care programmes.

Authors:  A Briend; A Bari
Journal:  BMJ       Date:  1989-06-17

6.  Determinants of child nutrition and mortality in north-west Uganda.

Authors:  V Vella; A Tomkins; A Borghesi; G B Migliori; B C Adriko; E Crevatin
Journal:  Bull World Health Organ       Date:  1992       Impact factor: 9.408

7.  Comparison of anthropometric indicators to predict mortality in a population-based prospective study of children under 5 years in Niger.

Authors:  Kieran S O'Brien; Abdou Amza; Boubacar Kadri; Beido Nassirou; Sun Y Cotter; Nicole E Stoller; Sheila K West; Robin L Bailey; Travis C Porco; Jeremy D Keenan; Thomas M Lietman; Catherine E Oldenburg
Journal:  Public Health Nutr       Date:  2019-09-09       Impact factor: 4.022

8.  Breast feeding, nutritional state, and child survival in rural Bangladesh.

Authors:  A Briend; B Wojtyniak; M G Rowland
Journal:  Br Med J (Clin Res Ed)       Date:  1988-03-26

9.  Prognostic accuracy of WHO growth standards to predict mortality in a large-scale nutritional program in Niger.

Authors:  Nathanael Lapidus; Francisco J Luquero; Valérie Gaboulaud; Susan Shepherd; Rebecca F Grais
Journal:  PLoS Med       Date:  2009-03-03       Impact factor: 11.069

10.  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

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