Literature DB >> 31093650

Comparison of Methods Used to Estimate the Global Burden of Disease Related to Undernutrition and Suboptimal Breastfeeding.

Alexander C McLain1, Edward A Frongillo2, Sonja Y Hess3, Ellen G Piwoz4.   

Abstract

The Global Burden of Disease study (GBD) is an ambitious effort to estimate the disease burden attributable to various risk factors. The results from the GBD are used around the world to monitor the UN established Sustainable Development Goals, set health policies and research strategies, among others. The GBD along with other studies, such as those from the Maternal Child Epidemiology Estimation Group and the Lancet Breastfeeding Series Group, produce estimates of the nutrition-related global burden of disease that exhibit considerable differences. These differences are difficult to reconcile due to the estimation methods, which in recent years have substantially increased in complexity. In this paper, we give a detailed review of the methods used by GBD and other entities to estimate the global burden of disease that is attributable to undernutrition and suboptimal breastfeeding. Further, we compare the methods to determine causes for differences in estimates. We find that the main determinant of differences in estimates is what causes of death are linked to each risk factor. Methods used to estimate nutrition-related disease burden need to be more clearly documented to foster discussion and collaboration on the important assumptions required to produce estimates.
Copyright © American Society for Nutrition 2019.

Entities:  

Keywords:  anthropometry; breastfeeding; global burden of disease; undernutrition

Year:  2019        PMID: 31093650      PMCID: PMC6520033          DOI: 10.1093/advances/nmy094

Source DB:  PubMed          Journal:  Adv Nutr        ISSN: 2161-8313            Impact factor:   8.701


  28 in total

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Review 6.  Comparison of Lives Saved Tool model child mortality estimates against measured data from vector control studies in sub-Saharan Africa.

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Journal:  Lancet       Date:  2017-09-16       Impact factor: 79.321

Review 8.  Optimal breastfeeding practices and infant and child mortality: a systematic review and meta-analysis.

Authors:  Mari Jeeva Sankar; Bireshwar Sinha; Ranadip Chowdhury; Nita Bhandari; Sunita Taneja; Jose Martines; Rajiv Bahl
Journal:  Acta Paediatr       Date:  2015-12       Impact factor: 2.299

9.  Global, regional, and national causes of child mortality in 2000-13, with projections to inform post-2015 priorities: an updated systematic analysis.

Authors:  Li Liu; Shefali Oza; Daniel Hogan; Jamie Perin; Igor Rudan; Joy E Lawn; Simon Cousens; Colin Mathers; Robert E Black
Journal:  Lancet       Date:  2014-09-30       Impact factor: 79.321

10.  Associations of suboptimal growth with all-cause and cause-specific mortality in children under five years: a pooled analysis of ten prospective studies.

Authors:  Ibironke Olofin; Christine M McDonald; Majid Ezzati; Seth Flaxman; Robert E Black; Wafaie W Fawzi; Laura E Caulfield; Goodarz Danaei
Journal:  PLoS One       Date:  2013-05-29       Impact factor: 3.240

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  2 in total

1.  Lessons for Developing Countries From Outlier Country Health Systems.

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  2 in total

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