Literature DB >> 16926213

Declining child malnutrition: a reassessment.

Peter Svedberg1.   

Abstract

BACKGROUND: Monitoring of the progress towards the Millennium Development Goal (MDG) of halving the proportion of malnourished children before year 2015 relies on the estimated trends in child stunting and underweight from the WHO.
METHODS: Two methods are used for assessing the reliability of the WHO estimates of trends in child stunting. One method is to estimate changes over time with an alternative methodology and the same data set, and the other is to evaluate the inter-temporal comparability of the child surveys from India and China, the two countries that weigh most heavily in the WHO trend estimates.
RESULTS: The re-estimated global and regional trends in child stunting with the alternative method and same data set are similar to those derived by the WHO. The data analysis shows that the child surveys from India are not inter-temporarily comparable. When controlling for differences in state coverage and age cohorts in the surveys, the prevalence of child stunting in India remained unchanged in the 1990s. The unaltered prevalence of stunting followed a minuscule decline in poverty. In China, there was a significant increase in child stunting between 1987 and 1992 and then a decline by half up to 1998. This abrupt reversal in child stunting was matched by a parallel change in (rural) poverty.
CONCLUSIONS: The progress towards the MDG at the global level is on track owing to the large decline in China. In India, as in most of Africa, where no notable fall in child stunting took place over the 1990s, the rate of decline over the 2001-15 period must be very high for the MDG to be realized. For this to occur, large reductions in poverty through equitable and high income growth are necessary.

Entities:  

Mesh:

Year:  2006        PMID: 16926213     DOI: 10.1093/ije/dyl157

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  8 in total

Review 1.  Ecological risk model of childhood obesity in Chinese immigrant children.

Authors:  Nan Zhou; Charissa S L Cheah
Journal:  Appetite       Date:  2015-02-26       Impact factor: 3.868

2.  Mainstreaming interventions in the health sector to address maternal and child undernutrition.

Authors:  Zulfiqar A Bhutta; Meera Shekar; Tahmeed Ahmed
Journal:  Matern Child Nutr       Date:  2008-04       Impact factor: 3.092

3.  Nutritional status of children in India: household socio-economic condition as the contextual determinant.

Authors:  Barun Kanjilal; Papiya Guha Mazumdar; Moumita Mukherjee; M Hafizur Rahman
Journal:  Int J Equity Health       Date:  2010-08-11

4.  Trends in mild, moderate, and severe stunting and underweight, and progress towards MDG 1 in 141 developing countries: a systematic analysis of population representative data.

Authors:  Gretchen A Stevens; Mariel M Finucane; Christopher J Paciorek; Seth R Flaxman; Richard A White; Abigail J Donner; Majid Ezzati
Journal:  Lancet       Date:  2012-07-05       Impact factor: 79.321

5.  Four issues in undernutrition-related health impact modeling.

Authors:  Noah Scovronick; Zaid Chalabi; Paul Wilkinson
Journal:  Emerg Themes Epidemiol       Date:  2013-09-27

6.  Machine learning algorithms for predicting undernutrition among under-five children in Ethiopia.

Authors:  Fikrewold H Bitew; Corey S Sparks; Samuel H Nyarko
Journal:  Public Health Nutr       Date:  2021-10-08       Impact factor: 4.022

7.  Growth patterns in early childhood and final attained stature: data from five birth cohorts from low- and middle-income countries.

Authors:  Aryeh D Stein; Meng Wang; Reynaldo Martorell; Shane A Norris; Linda S Adair; Isabelita Bas; Harshpal Singh Sachdev; Santosh K Bhargava; Caroline H D Fall; Denise P Gigante; Cesar G Victora
Journal:  Am J Hum Biol       Date:  2010 May-Jun       Impact factor: 1.937

8.  Understanding child stunting in India: a comprehensive analysis of socio-economic, nutritional and environmental determinants using additive quantile regression.

Authors:  Nora Fenske; Jacob Burns; Torsten Hothorn; Eva A Rehfuess
Journal:  PLoS One       Date:  2013-11-04       Impact factor: 3.240

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.