Estimating the global prevalence of inadequate zinc intake from national food balance sheets: effects of methodological assumptions
The prevalence of inadequate zinc intake in a population can be estimated by comparing the zinc content of the food supply with the population's theoretical requirement for zinc. However, assumptions regarding the nutrient composition of foods, zinc requirements, and zinc absorption may affect...
Gespeichert in:
Veröffentlicht in: | PloS one 2012-11, Vol.7 (11), p.e50565-e50565 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | e50565 |
---|---|
container_issue | 11 |
container_start_page | e50565 |
container_title | PloS one |
container_volume | 7 |
creator | Wessells, K Ryan Singh, Gitanjali M Brown, Kenneth H |
description | The prevalence of inadequate zinc intake in a population can be estimated by comparing the zinc content of the food supply with the population's theoretical requirement for zinc. However, assumptions regarding the nutrient composition of foods, zinc requirements, and zinc absorption may affect prevalence estimates. These analyses were conducted to: (1) evaluate the effect of varying methodological assumptions on country-specific estimates of the prevalence of dietary zinc inadequacy and (2) generate a model considered to provide the best estimates.
National food balance data were obtained from the Food and Agriculture Organization of the United Nations. Zinc and phytate contents of these foods were estimated from three nutrient composition databases. Zinc absorption was predicted using a mathematical model (Miller equation). Theoretical mean daily per capita physiological and dietary requirements for zinc were calculated using recommendations from the Food and Nutrition Board of the Institute of Medicine and the International Zinc Nutrition Consultative Group. The estimated global prevalence of inadequate zinc intake varied between 12-66%, depending on which methodological assumptions were applied. However, country-specific rank order of the estimated prevalence of inadequate intake was conserved across all models (r = 0.57-0.99, P |
doi_str_mv | 10.1371/journal.pone.0050565 |
format | Article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1350910142</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A477004045</galeid><doaj_id>oai_doaj_org_article_1be462a9878246019358afcf850b94f5</doaj_id><sourcerecordid>A477004045</sourcerecordid><originalsourceid>FETCH-LOGICAL-c758t-ed5585a6b9c78e0ae2cf8637f727507826ed51cdcc557655fc30534587b9dc7d3</originalsourceid><addsrcrecordid>eNqNk19vlTAYxonRuDn9BkZJTIxenGNLKYVdmCzL1JMsWeK_26aUt9AJ9IyWRb31i_uyw5aD2YVwAZTf8_Tt075R9JySNWWCvrt049Crdr11PawJ4YRn_EF0SAuWrLKEsId77wfRE-8vEWJ5lj2ODhKWkELk9DD6c-aD7VSwfR2HBuK6daVq4-0A16qFXkPsTGx7VcHVqALEv22v8TuoHxCbwXVxj1qHdcTGuSpGrZpEvgEI_jgGY0AHP5l0EBpXudbVViOuvB-77aT1T6NHRrUens3Po-jbh7Ovp59W5xcfN6cn5ysteB5WUHGec5WVhRY5EAWJNnnGhBGJ4ETkSYYE1ZXWnIuMc6MZLjjluSiLSouKHUUvd77b1nk55-clZZwUlNA0QWKzIyqnLuV2wGSGX9IpK28G3FBLNQSrW5C0hDRLVJHjxGlGMGqeK4MVcVIWqeHo9X6ebSw7qDT0YVDtwnT5p7eNrN21ZJwSkqVo8GY2GNzVCD7IznoNLSYMbsS6E7xYkhcC0Vf_oPevbqZq3Fppe-NwXj2ZypNUCEJSkk51r--h8K6gsxoPm7E4vhC8XQiQCfAz1Gr0Xm6-fP5_9uL7kn29xzag2tB41443Z2YJpjtQD877AcxdyJTIqVdu05BTr8i5V1D2Yn-D7kS3zcH-AqOkD90</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1350910142</pqid></control><display><type>article</type><title>Estimating the global prevalence of inadequate zinc intake from national food balance sheets: effects of methodological assumptions</title><source>MEDLINE</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Public Library of Science (PLoS) Journals Open Access</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>DOAJ开放获取期刊资源库</source><creator>Wessells, K Ryan ; Singh, Gitanjali M ; Brown, Kenneth H</creator><contributor>Bhutta, Zulfiqar A.</contributor><creatorcontrib>Wessells, K Ryan ; Singh, Gitanjali M ; Brown, Kenneth H ; Bhutta, Zulfiqar A.</creatorcontrib><description>The prevalence of inadequate zinc intake in a population can be estimated by comparing the zinc content of the food supply with the population's theoretical requirement for zinc. However, assumptions regarding the nutrient composition of foods, zinc requirements, and zinc absorption may affect prevalence estimates. These analyses were conducted to: (1) evaluate the effect of varying methodological assumptions on country-specific estimates of the prevalence of dietary zinc inadequacy and (2) generate a model considered to provide the best estimates.
National food balance data were obtained from the Food and Agriculture Organization of the United Nations. Zinc and phytate contents of these foods were estimated from three nutrient composition databases. Zinc absorption was predicted using a mathematical model (Miller equation). Theoretical mean daily per capita physiological and dietary requirements for zinc were calculated using recommendations from the Food and Nutrition Board of the Institute of Medicine and the International Zinc Nutrition Consultative Group. The estimated global prevalence of inadequate zinc intake varied between 12-66%, depending on which methodological assumptions were applied. However, country-specific rank order of the estimated prevalence of inadequate intake was conserved across all models (r = 0.57-0.99, P<0.01). A "best-estimate" model, comprised of zinc and phytate data from a composite nutrient database and IZiNCG physiological requirements for absorbed zinc, estimated the global prevalence of inadequate zinc intake to be 17.3%.
Given the multiple sources of uncertainty in this method, caution must be taken in the interpretation of the estimated prevalence figures. However, the results of all models indicate that inadequate zinc intake may be fairly common globally. Inferences regarding the relative likelihood of zinc deficiency as a public health problem in different countries can be drawn based on the country-specific rank order of estimated prevalence of inadequate zinc intake.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0050565</identifier><identifier>PMID: 23209781</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Absorption ; Agricultural associations ; Agriculture ; Analysis ; Balance sheets ; Bioavailability ; Biology ; Commodities ; Databases, Factual ; Diet ; Estimates ; Food ; Food composition ; Food intake ; Food supply ; Humans ; Malnutrition - epidemiology ; Mathematical models ; Medicine ; Nutrient deficiency ; Nutrient requirements ; Nutrients ; Nutrition ; Nutrition research ; Nutritional Requirements ; Pennisetum glaucum ; Physiological aspects ; Physiology ; Phytic Acid - analysis ; Population ; Preschool children ; Prevalence ; Public health ; Rankings ; Zinc ; Zinc (Nutrient) ; Zinc - analysis ; Zinc - deficiency</subject><ispartof>PloS one, 2012-11, Vol.7 (11), p.e50565-e50565</ispartof><rights>COPYRIGHT 2012 Public Library of Science</rights><rights>2012 Wessells et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2012 Wessells et al 2012 Wessells et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-ed5585a6b9c78e0ae2cf8637f727507826ed51cdcc557655fc30534587b9dc7d3</citedby><cites>FETCH-LOGICAL-c758t-ed5585a6b9c78e0ae2cf8637f727507826ed51cdcc557655fc30534587b9dc7d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3510064/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3510064/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,729,782,786,866,887,2104,2930,23873,27931,27932,53798,53800</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23209781$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Bhutta, Zulfiqar A.</contributor><creatorcontrib>Wessells, K Ryan</creatorcontrib><creatorcontrib>Singh, Gitanjali M</creatorcontrib><creatorcontrib>Brown, Kenneth H</creatorcontrib><title>Estimating the global prevalence of inadequate zinc intake from national food balance sheets: effects of methodological assumptions</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The prevalence of inadequate zinc intake in a population can be estimated by comparing the zinc content of the food supply with the population's theoretical requirement for zinc. However, assumptions regarding the nutrient composition of foods, zinc requirements, and zinc absorption may affect prevalence estimates. These analyses were conducted to: (1) evaluate the effect of varying methodological assumptions on country-specific estimates of the prevalence of dietary zinc inadequacy and (2) generate a model considered to provide the best estimates.
National food balance data were obtained from the Food and Agriculture Organization of the United Nations. Zinc and phytate contents of these foods were estimated from three nutrient composition databases. Zinc absorption was predicted using a mathematical model (Miller equation). Theoretical mean daily per capita physiological and dietary requirements for zinc were calculated using recommendations from the Food and Nutrition Board of the Institute of Medicine and the International Zinc Nutrition Consultative Group. The estimated global prevalence of inadequate zinc intake varied between 12-66%, depending on which methodological assumptions were applied. However, country-specific rank order of the estimated prevalence of inadequate intake was conserved across all models (r = 0.57-0.99, P<0.01). A "best-estimate" model, comprised of zinc and phytate data from a composite nutrient database and IZiNCG physiological requirements for absorbed zinc, estimated the global prevalence of inadequate zinc intake to be 17.3%.
Given the multiple sources of uncertainty in this method, caution must be taken in the interpretation of the estimated prevalence figures. However, the results of all models indicate that inadequate zinc intake may be fairly common globally. Inferences regarding the relative likelihood of zinc deficiency as a public health problem in different countries can be drawn based on the country-specific rank order of estimated prevalence of inadequate zinc intake.</description><subject>Absorption</subject><subject>Agricultural associations</subject><subject>Agriculture</subject><subject>Analysis</subject><subject>Balance sheets</subject><subject>Bioavailability</subject><subject>Biology</subject><subject>Commodities</subject><subject>Databases, Factual</subject><subject>Diet</subject><subject>Estimates</subject><subject>Food</subject><subject>Food composition</subject><subject>Food intake</subject><subject>Food supply</subject><subject>Humans</subject><subject>Malnutrition - epidemiology</subject><subject>Mathematical models</subject><subject>Medicine</subject><subject>Nutrient deficiency</subject><subject>Nutrient requirements</subject><subject>Nutrients</subject><subject>Nutrition</subject><subject>Nutrition research</subject><subject>Nutritional Requirements</subject><subject>Pennisetum glaucum</subject><subject>Physiological aspects</subject><subject>Physiology</subject><subject>Phytic Acid - analysis</subject><subject>Population</subject><subject>Preschool children</subject><subject>Prevalence</subject><subject>Public health</subject><subject>Rankings</subject><subject>Zinc</subject><subject>Zinc (Nutrient)</subject><subject>Zinc - analysis</subject><subject>Zinc - deficiency</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk19vlTAYxonRuDn9BkZJTIxenGNLKYVdmCzL1JMsWeK_26aUt9AJ9IyWRb31i_uyw5aD2YVwAZTf8_Tt075R9JySNWWCvrt049Crdr11PawJ4YRn_EF0SAuWrLKEsId77wfRE-8vEWJ5lj2ODhKWkELk9DD6c-aD7VSwfR2HBuK6daVq4-0A16qFXkPsTGx7VcHVqALEv22v8TuoHxCbwXVxj1qHdcTGuSpGrZpEvgEI_jgGY0AHP5l0EBpXudbVViOuvB-77aT1T6NHRrUens3Po-jbh7Ovp59W5xcfN6cn5ysteB5WUHGec5WVhRY5EAWJNnnGhBGJ4ETkSYYE1ZXWnIuMc6MZLjjluSiLSouKHUUvd77b1nk55-clZZwUlNA0QWKzIyqnLuV2wGSGX9IpK28G3FBLNQSrW5C0hDRLVJHjxGlGMGqeK4MVcVIWqeHo9X6ebSw7qDT0YVDtwnT5p7eNrN21ZJwSkqVo8GY2GNzVCD7IznoNLSYMbsS6E7xYkhcC0Vf_oPevbqZq3Fppe-NwXj2ZypNUCEJSkk51r--h8K6gsxoPm7E4vhC8XQiQCfAz1Gr0Xm6-fP5_9uL7kn29xzag2tB41443Z2YJpjtQD877AcxdyJTIqVdu05BTr8i5V1D2Yn-D7kS3zcH-AqOkD90</recordid><startdate>20121129</startdate><enddate>20121129</enddate><creator>Wessells, K Ryan</creator><creator>Singh, Gitanjali M</creator><creator>Brown, Kenneth H</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20121129</creationdate><title>Estimating the global prevalence of inadequate zinc intake from national food balance sheets: effects of methodological assumptions</title><author>Wessells, K Ryan ; Singh, Gitanjali M ; Brown, Kenneth H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-ed5585a6b9c78e0ae2cf8637f727507826ed51cdcc557655fc30534587b9dc7d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Absorption</topic><topic>Agricultural associations</topic><topic>Agriculture</topic><topic>Analysis</topic><topic>Balance sheets</topic><topic>Bioavailability</topic><topic>Biology</topic><topic>Commodities</topic><topic>Databases, Factual</topic><topic>Diet</topic><topic>Estimates</topic><topic>Food</topic><topic>Food composition</topic><topic>Food intake</topic><topic>Food supply</topic><topic>Humans</topic><topic>Malnutrition - epidemiology</topic><topic>Mathematical models</topic><topic>Medicine</topic><topic>Nutrient deficiency</topic><topic>Nutrient requirements</topic><topic>Nutrients</topic><topic>Nutrition</topic><topic>Nutrition research</topic><topic>Nutritional Requirements</topic><topic>Pennisetum glaucum</topic><topic>Physiological aspects</topic><topic>Physiology</topic><topic>Phytic Acid - analysis</topic><topic>Population</topic><topic>Preschool children</topic><topic>Prevalence</topic><topic>Public health</topic><topic>Rankings</topic><topic>Zinc</topic><topic>Zinc (Nutrient)</topic><topic>Zinc - analysis</topic><topic>Zinc - deficiency</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wessells, K Ryan</creatorcontrib><creatorcontrib>Singh, Gitanjali M</creatorcontrib><creatorcontrib>Brown, Kenneth H</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>Proquest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ开放获取期刊资源库</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wessells, K Ryan</au><au>Singh, Gitanjali M</au><au>Brown, Kenneth H</au><au>Bhutta, Zulfiqar A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimating the global prevalence of inadequate zinc intake from national food balance sheets: effects of methodological assumptions</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2012-11-29</date><risdate>2012</risdate><volume>7</volume><issue>11</issue><spage>e50565</spage><epage>e50565</epage><pages>e50565-e50565</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The prevalence of inadequate zinc intake in a population can be estimated by comparing the zinc content of the food supply with the population's theoretical requirement for zinc. However, assumptions regarding the nutrient composition of foods, zinc requirements, and zinc absorption may affect prevalence estimates. These analyses were conducted to: (1) evaluate the effect of varying methodological assumptions on country-specific estimates of the prevalence of dietary zinc inadequacy and (2) generate a model considered to provide the best estimates.
National food balance data were obtained from the Food and Agriculture Organization of the United Nations. Zinc and phytate contents of these foods were estimated from three nutrient composition databases. Zinc absorption was predicted using a mathematical model (Miller equation). Theoretical mean daily per capita physiological and dietary requirements for zinc were calculated using recommendations from the Food and Nutrition Board of the Institute of Medicine and the International Zinc Nutrition Consultative Group. The estimated global prevalence of inadequate zinc intake varied between 12-66%, depending on which methodological assumptions were applied. However, country-specific rank order of the estimated prevalence of inadequate intake was conserved across all models (r = 0.57-0.99, P<0.01). A "best-estimate" model, comprised of zinc and phytate data from a composite nutrient database and IZiNCG physiological requirements for absorbed zinc, estimated the global prevalence of inadequate zinc intake to be 17.3%.
Given the multiple sources of uncertainty in this method, caution must be taken in the interpretation of the estimated prevalence figures. However, the results of all models indicate that inadequate zinc intake may be fairly common globally. Inferences regarding the relative likelihood of zinc deficiency as a public health problem in different countries can be drawn based on the country-specific rank order of estimated prevalence of inadequate zinc intake.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>23209781</pmid><doi>10.1371/journal.pone.0050565</doi><tpages>e50565</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2012-11, Vol.7 (11), p.e50565-e50565 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1350910142 |
source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS) Journals Open Access; PubMed Central; Free Full-Text Journals in Chemistry; DOAJ开放获取期刊资源库 |
subjects | Absorption Agricultural associations Agriculture Analysis Balance sheets Bioavailability Biology Commodities Databases, Factual Diet Estimates Food Food composition Food intake Food supply Humans Malnutrition - epidemiology Mathematical models Medicine Nutrient deficiency Nutrient requirements Nutrients Nutrition Nutrition research Nutritional Requirements Pennisetum glaucum Physiological aspects Physiology Phytic Acid - analysis Population Preschool children Prevalence Public health Rankings Zinc Zinc (Nutrient) Zinc - analysis Zinc - deficiency |
title | Estimating the global prevalence of inadequate zinc intake from national food balance sheets: effects of methodological assumptions |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-05T06%3A29%3A44IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Estimating%20the%20global%20prevalence%20of%20inadequate%20zinc%20intake%20from%20national%20food%20balance%20sheets:%20effects%20of%20methodological%20assumptions&rft.jtitle=PloS%20one&rft.au=Wessells,%20K%20Ryan&rft.date=2012-11-29&rft.volume=7&rft.issue=11&rft.spage=e50565&rft.epage=e50565&rft.pages=e50565-e50565&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0050565&rft_dat=%3Cgale_plos_%3EA477004045%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1350910142&rft_id=info:pmid/23209781&rft_galeid=A477004045&rft_doaj_id=oai_doaj_org_article_1be462a9878246019358afcf850b94f5&rfr_iscdi=true |