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Basis for changes in the disease burden estimates related to vitamin A and zinc deficiencies in the 2017 and 2019 Global Burden of Disease Studies
by
Hess, Sonja Y
, Lescinsky, Haley
, Afshin, Ashkan
, Atkin, Reed
, McLain, Alexander C
, Osendarp, Saskia JM
, Brown, Kenneth H
in
Adequacy
/ Bayesian analysis
/ Bayesian theory
/ burden of disease
/ Collaboration
/ death
/ Diarrhea
/ Disease
/ Estimates
/ Measles
/ Meta-analysis
/ Mortality
/ Nutrient deficiency
/ Nutrition
/ Nutritional Epidemiology
/ public health
/ Retinene
/ Risk analysis
/ Risk factors
/ Short Communication
/ Statistical analysis
/ Vitamin A
/ vitamin A deficiency
/ Zinc
2022
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Basis for changes in the disease burden estimates related to vitamin A and zinc deficiencies in the 2017 and 2019 Global Burden of Disease Studies
by
Hess, Sonja Y
, Lescinsky, Haley
, Afshin, Ashkan
, Atkin, Reed
, McLain, Alexander C
, Osendarp, Saskia JM
, Brown, Kenneth H
in
Adequacy
/ Bayesian analysis
/ Bayesian theory
/ burden of disease
/ Collaboration
/ death
/ Diarrhea
/ Disease
/ Estimates
/ Measles
/ Meta-analysis
/ Mortality
/ Nutrient deficiency
/ Nutrition
/ Nutritional Epidemiology
/ public health
/ Retinene
/ Risk analysis
/ Risk factors
/ Short Communication
/ Statistical analysis
/ Vitamin A
/ vitamin A deficiency
/ Zinc
2022
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Basis for changes in the disease burden estimates related to vitamin A and zinc deficiencies in the 2017 and 2019 Global Burden of Disease Studies
by
Hess, Sonja Y
, Lescinsky, Haley
, Afshin, Ashkan
, Atkin, Reed
, McLain, Alexander C
, Osendarp, Saskia JM
, Brown, Kenneth H
in
Adequacy
/ Bayesian analysis
/ Bayesian theory
/ burden of disease
/ Collaboration
/ death
/ Diarrhea
/ Disease
/ Estimates
/ Measles
/ Meta-analysis
/ Mortality
/ Nutrient deficiency
/ Nutrition
/ Nutritional Epidemiology
/ public health
/ Retinene
/ Risk analysis
/ Risk factors
/ Short Communication
/ Statistical analysis
/ Vitamin A
/ vitamin A deficiency
/ Zinc
2022
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Basis for changes in the disease burden estimates related to vitamin A and zinc deficiencies in the 2017 and 2019 Global Burden of Disease Studies
Journal Article
Basis for changes in the disease burden estimates related to vitamin A and zinc deficiencies in the 2017 and 2019 Global Burden of Disease Studies
2022
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Overview
The Global Burden of Disease (GBD) Study provides estimates of death and disability from eighty-seven risk factors, including some micronutrient deficiencies.
To review methodological changes that led to large differences in the disease burden estimates for vitamin A and Zn deficiencies between the GBD 2017 and 2019 Studies.
GBD publications were reviewed; additional information was provided by GBD researchers.
Vitamin A deficiency prevalence is based on plasma retinol concentration, whereas the estimate for Zn deficiency prevalence uses dietary adequacy as a proxy. The estimated global prevalence of vitamin A deficiency for children aged 1-4 years in the year 2017 decreased from 0·20 (95 % CI 0·17, 0·24) in GBD 2017 to 0·16 (95 % CI 0·15, 0·19) in GBD 2019, while the global prevalence of Zn deficiency did not change between the two studies (0·09 (95 % CI 0·04, 0·17) and 0·09 (95 % CI 0·03, 0·18)). New to 2019 was that meta-analyses were performed using Meta Regression - Bayesian, Regularized, Trimmed, a method developed for GBD. Due to this and multiple other methodological changes, the estimated number of deaths due to vitamin A deficiency dropped from 233 000 (179 000-294 000) to 24 000 (3000-50 000) from GBD 2017 to 2019, and for Zn deficiency from 29 000 (1000-77 000) to 2800 (700-6500), respectively.
The changes in the estimated disease burdens due to vitamin A and Zn deficiencies in the GBD reports from 2017 to 2019 are due primarily to changes in the analytical methods employed, so may not represent true changes in disease burden. Additional effort is needed to validate these results.
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