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Estimating the Global Prevalence of Zinc Deficiency: Results Based on Zinc Availability in National Food Supplies and the Prevalence of Stunting
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BACKGROUND: Adequate zinc nutrition is essential for adequate growth, immunocompetence and neurobehavioral development, but limited information on population zinc status hinders the expansion of interventions to control zinc deficiency. The present analyses were conducted to: (1) estimate the country-specific prevalence of inadequate zinc intake; and (2) investigate relationships between country-specific estimated prevalence of dietary zinc inadequacy and dietary patterns and stunting prevalence. METHODOLOGY AND PRINCIPAL FINDINGS: National food balance sheet data were obtained from the Food and Agriculture Organization of the United Nations. Country-specific estimated prevalence of inadequate zinc intake were calculated based on the estimated absorbable zinc content of the national food supply, International Zinc Nutrition Consultative Group estimated physiological requirements for absorbed zinc, and demographic data obtained from United Nations estimates. Stunting data were obtained from a recent systematic analysis based on World Health Organization growth standards. An estimated 17.3% of the world's population is at risk of inadequate zinc intake. Country-specific estimated prevalence of inadequate zinc intake was negatively correlated with the total energy and zinc contents of the national food supply and the percent of zinc obtained from animal source foods, and positively correlated with the phytate: zinc molar ratio of the food supply. The estimated prevalence of inadequate zinc intake was correlated with the prevalence of stunting (low height-for-age) in children under five years of age (r = 0.48, P<0.001). CONCLUSIONS AND SIGNIFICANCE: These results, which indicate that inadequate dietary zinc intake may be fairly common, particularly in Sub-Saharan Africa and South Asia, allow inter-country comparisons regarding the relative likelihood of zinc deficiency as a public health problem. Data from these analyses should be used to determine the need for direct biochemical and dietary assessments of population zinc status, as part of nationally representative nutritional surveys targeting countries estimated to be at high risk.
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Stevens, G. A., Finucane, M. M., Paciorek, C. J., Flaxman, S. R., White, R. A., Donner, A. J., & Ezzati, M. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60647-3 · Cited by 384
Research works printed but not linked: 18
- KH Brown, 2004, International Zinc Nutrition Consultative Group (IZiNCG) technical document #1. Assessment of the risk of zinc deficiency in populations and options for its control, Food Nutr Bull, 25, S99
- KH Brown, 2009, Preventive zinc supplementation among infants, preschoolers, and older prepubertal children, Food Nutr Bull, 30, S12, 10.1177/15648265090301S103 · DOI · Paper page
- SY Hess, 2009, Effects of maternal zinc supplementation on pregnancy and lactation outcomes, Food Nutr Bull, 30, S60, 10.1177/15648265090301S105 · DOI
- BA Haider, 2009, The effect of therapeutic zinc supplementation among young children with selected infections: a review of the evidence, Food Nutr Bull, 30, S41, 10.1177/15648265090301S104 · DOI
- SY Hess, 2007, Use of serum zinc concentration as an indicator of population zinc status, Food Nutr Bull, 28, S403, 10.1177/15648265070283S303 · DOI · Paper page
- C Hotz, 2007, Dietary indicators for assessing the adequacy of population zinc intakes, Food Nutr Bull, 28, S430, 10.1177/15648265070283S304 · DOI
- CL Fischer Walker, 2007, Functional indicators for assessing zinc deficiency, Food Nutr Bull, 28, S454, 10.1177/15648265070283S305 · DOI
- RS Gibson, 2008, Indicators of zinc status at the population level: a review of the evidence, Br J Nutr, 99, S14, 10.1017/S0007114508006818 · DOI · Paper page
- B de Benoist, 2007, Report of a WHO/UNICEF/IAEA/IZiNCG interagency meeting on zinc status indicators, held in IAEA headquarters, Vienna, December 9, 2005, Food Nutr Bull, 28, S399
- JE Kimmons, 2005, Low nutrient intakes among infants in rural Bangladesh are attributable to low intake and micronutrient density of complementary foods, J Nutr, 135, 444, 10.1093/jn/135.3.444 · DOI
- EL Ferguson, 1993, The zinc nutriture of preschool children living in two African countries, J Nutr, 123, 1487, 10.1093/jn/123.9.1487 · DOI
- S Schakel, 2001, Maintaining a nutrient database in a changing marketplace: Keeping pace with changing food products - A research perspective, Journal of Food Composition and Analysis, 14, 315, 10.1006/jfca.2001.0992 · DOI · Paper page
- M Ruz, 1997, A 14-mo zinc-supplementation trial in apparently healthy Chilean preschool children, Am J Clin Nutr, 66, 1406, 10.1093/ajcn/66.6.1406 · DOI
- Reddy N, Sathe S (2002) Food Phytates. Boca Raton, FL: CRC Press LLC. · DOI
- KM Hambidge, 2010, Zinc bioavailability and homeostasis, American Journal of Clinical Nutrition, 91, 1478S, 10.3945/ajcn.2010.28674I · DOI · Paper page
- LV Miller, 2007, A mathematical model of zinc absorption in humans as a function of dietary zinc and phytate, J Nutr, 137, 135, 10.1093/jn/137.1.135 · DOI · Paper page
- Institute of Medicine, Food and Nutrition Board. Using the estimated average requirements for nutrient assessment of groups. Dietary reference intakes. Applications in Dietary Assessment. Washington, DC: National Academy Press, 2000;73–105.
- JK Rajaratnam, 2010, Neonatal, postneonatal, childhood, and under-5 mortality for 187 countries, 1970–2010: a systematic analysis of progress towards Millennium Development Goal 4, Lancet, 375, 1988, 10.1016/S0140-6736(10)60703-9 · DOI · Paper page
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Antoine, J. M. R., Fung, L. A. H., & Grant, C. N. (2017) · Toxicology Reports · doi:10.1016/j.toxrep.2017.03.006 · Cited by 296
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Zhang, C., Li, J., Tian, L., Lu, D., Yuan, K., Yuan, Y., & Xu, S. (2015) · Scientific Reports · doi:10.1038/srep09658 · Cited by 27
Metadata
- Authors
- Wessells, K. R., & Brown, K. H.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2012-11-29
- Volume
- 7
- Issue
- 11
- Pages
- e50568
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2021002667
- Cited by
- 1,107
- References
- 1
- FWCI
- 25.01
- Type
- journal article
- Language
- en
- Open access
- gold
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