The Global Diet Quality Score is Associated with Higher Nutrient Adequacy, Midupper Arm Circumference, Venous Hemoglobin, and Serum Folate Among Urban and Rural Ethiopian Adults
Nutritionally inadequate diets in Ethiopia contribute to a persisting national burden of adult undernutrition, while the prevalence of noncommunicable diseases (NCDs) is rising. To evaluate performance of a novel Global Diet Quality Score (GDQS) in capturing diet quality outcomes among Ethiopian adu...
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Veröffentlicht in: | The Journal of nutrition 2021-10, Vol.151 (Supplement_2), p.130S-142S |
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creator | Bromage, Sabri Andersen, Christopher T Tadesse, Amare W Passarelli, Simone Hemler, Elena C Fekadu, Habtamu Sudfeld, Christopher R Worku, Alemayehu Berhane, Hanna Batis, Carolina Bhupathiraju, Shilpa N Fung, Teresa T Li, Yanping Stampfer, Meir J Deitchler, Megan Willett, Walter C Fawzi, Wafaie W |
description | Nutritionally inadequate diets in Ethiopia contribute to a persisting national burden of adult undernutrition, while the prevalence of noncommunicable diseases (NCDs) is rising.
To evaluate performance of a novel Global Diet Quality Score (GDQS) in capturing diet quality outcomes among Ethiopian adults.
We scored the GDQS and a suite of comparison metrics in secondary analyses of FFQ and 24-hour recall (24HR) data from a population-based cross-sectional survey of nonpregnant, nonlactating women of reproductive age and men (15–49 years) in Addis Ababa and 5 predominately rural regions. We evaluated Spearman correlations between metrics and energy-adjusted nutrient adequacy, and associations between metrics and anthropometric/biomarker outcomes in covariate-adjusted regression models.
In the FFQ analysis, correlations between the GDQS and an energy-adjusted aggregate measure of dietary protein, fiber, calcium, iron, zinc, vitamin A, folate, and vitamin B12 adequacy were 0.32 in men and 0.26 in women. GDQS scores were inversely associated with folate deficiency in men and women (GDQS Quintile 5 compared with Quintile 1 OR in women, 0.50; 95% CI: 0.31–0.79); inversely associated with underweight (OR, 0.63; 95% CI: 0.44–0.90), low midupper arm circumference (OR, 0.61; 95% CI: 0.45–0.84), and anemia (OR, 0.59; 95% CI: 0.38–0.91) in women; and positively associated with hypertension in men (OR: 1.77, 95% CI: 1.12–2.80). For comparison, the Minimum Dietary Diversity–Women (MDD-W) was associated more positively (P < 0.05) with overall nutrient adequacy in men and women, but also associated with low ferritin in men, overweight/obesity in women, and hypertension in men and women. In the 24HR analysis (restricted to women), the MDD-W was associated more positively (P < 0.05) with nutrient adequacy than the GDQS, but also associated with low ferritin, while the GDQS was associated inversely with anemia.
The GDQS performed capably in capturing nutrient adequacy–related outcomes in Ethiopian adults. Prospective studies are warranted to assess the GDQS’ performance in capturing NCD outcomes in sub-Saharan Africa. |
doi_str_mv | 10.1093/jn/nxab264 |
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To evaluate performance of a novel Global Diet Quality Score (GDQS) in capturing diet quality outcomes among Ethiopian adults.
We scored the GDQS and a suite of comparison metrics in secondary analyses of FFQ and 24-hour recall (24HR) data from a population-based cross-sectional survey of nonpregnant, nonlactating women of reproductive age and men (15–49 years) in Addis Ababa and 5 predominately rural regions. We evaluated Spearman correlations between metrics and energy-adjusted nutrient adequacy, and associations between metrics and anthropometric/biomarker outcomes in covariate-adjusted regression models.
In the FFQ analysis, correlations between the GDQS and an energy-adjusted aggregate measure of dietary protein, fiber, calcium, iron, zinc, vitamin A, folate, and vitamin B12 adequacy were 0.32 in men and 0.26 in women. GDQS scores were inversely associated with folate deficiency in men and women (GDQS Quintile 5 compared with Quintile 1 OR in women, 0.50; 95% CI: 0.31–0.79); inversely associated with underweight (OR, 0.63; 95% CI: 0.44–0.90), low midupper arm circumference (OR, 0.61; 95% CI: 0.45–0.84), and anemia (OR, 0.59; 95% CI: 0.38–0.91) in women; and positively associated with hypertension in men (OR: 1.77, 95% CI: 1.12–2.80). For comparison, the Minimum Dietary Diversity–Women (MDD-W) was associated more positively (P < 0.05) with overall nutrient adequacy in men and women, but also associated with low ferritin in men, overweight/obesity in women, and hypertension in men and women. In the 24HR analysis (restricted to women), the MDD-W was associated more positively (P < 0.05) with nutrient adequacy than the GDQS, but also associated with low ferritin, while the GDQS was associated inversely with anemia.
The GDQS performed capably in capturing nutrient adequacy–related outcomes in Ethiopian adults. Prospective studies are warranted to assess the GDQS’ performance in capturing NCD outcomes in sub-Saharan Africa.</description><identifier>ISSN: 0022-3166</identifier><identifier>EISSN: 1541-6100</identifier><identifier>DOI: 10.1093/jn/nxab264</identifier><identifier>PMID: 34689198</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adequacy ; Adolescent ; Adult ; Adults ; Anemia ; Anthropometry ; Arm - anatomy & histology ; Arm circumference ; Biomarkers ; Body weight ; Calcium (dietary) ; Circumferences ; Diet ; diet quality metrics ; Diet Surveys ; Diet, Healthy ; dietary diversity ; double burden of malnutrition ; Eating ; Ethiopia ; Ethiopia - epidemiology ; Ferritin ; Ferritins - blood ; Folic acid ; Folic Acid - blood ; GDQS ; Hemoglobin ; Hemoglobins - analysis ; Humans ; Hypertension ; Male ; Malnutrition ; Malnutrition - epidemiology ; Men ; Middle Aged ; noncommunicable disease ; Noncommunicable Diseases - epidemiology ; nutrient adequacy ; Nutrients ; Nutrition ; nutrition transition ; nutritional epidemiology ; Nutritive Value ; Performance evaluation ; Regression analysis ; Regression models ; Rural areas ; Rural Population - statistics & numerical data ; sub-Saharan Africa ; Supplement ; Undernutrition ; Underweight ; Urban Population - statistics & numerical data ; Vitamin A ; Vitamin B12 ; Vitamin deficiency ; Women ; Young Adult</subject><ispartof>The Journal of nutrition, 2021-10, Vol.151 (Supplement_2), p.130S-142S</ispartof><rights>2021 American Society for Nutrition.</rights><rights>Copyright © The Author(s) on behalf of the American Society for Nutrition 2021. 2021</rights><rights>Copyright © The Author(s) on behalf of the American Society for Nutrition 2021.</rights><rights>Copyright American Institute of Nutrition Oct 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c481t-acc114bdf2b9469fd4512c5e90a32fc82a258a73028952c5243d272a4f76e4ce3</citedby><cites>FETCH-LOGICAL-c481t-acc114bdf2b9469fd4512c5e90a32fc82a258a73028952c5243d272a4f76e4ce3</cites><orcidid>0000-0002-3203-3638 ; 0000-0002-0412-2748</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34689198$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bromage, Sabri</creatorcontrib><creatorcontrib>Andersen, Christopher T</creatorcontrib><creatorcontrib>Tadesse, Amare W</creatorcontrib><creatorcontrib>Passarelli, Simone</creatorcontrib><creatorcontrib>Hemler, Elena C</creatorcontrib><creatorcontrib>Fekadu, Habtamu</creatorcontrib><creatorcontrib>Sudfeld, Christopher R</creatorcontrib><creatorcontrib>Worku, Alemayehu</creatorcontrib><creatorcontrib>Berhane, Hanna</creatorcontrib><creatorcontrib>Batis, Carolina</creatorcontrib><creatorcontrib>Bhupathiraju, Shilpa N</creatorcontrib><creatorcontrib>Fung, Teresa T</creatorcontrib><creatorcontrib>Li, Yanping</creatorcontrib><creatorcontrib>Stampfer, Meir J</creatorcontrib><creatorcontrib>Deitchler, Megan</creatorcontrib><creatorcontrib>Willett, Walter C</creatorcontrib><creatorcontrib>Fawzi, Wafaie W</creatorcontrib><title>The Global Diet Quality Score is Associated with Higher Nutrient Adequacy, Midupper Arm Circumference, Venous Hemoglobin, and Serum Folate Among Urban and Rural Ethiopian Adults</title><title>The Journal of nutrition</title><addtitle>J Nutr</addtitle><description>Nutritionally inadequate diets in Ethiopia contribute to a persisting national burden of adult undernutrition, while the prevalence of noncommunicable diseases (NCDs) is rising.
To evaluate performance of a novel Global Diet Quality Score (GDQS) in capturing diet quality outcomes among Ethiopian adults.
We scored the GDQS and a suite of comparison metrics in secondary analyses of FFQ and 24-hour recall (24HR) data from a population-based cross-sectional survey of nonpregnant, nonlactating women of reproductive age and men (15–49 years) in Addis Ababa and 5 predominately rural regions. We evaluated Spearman correlations between metrics and energy-adjusted nutrient adequacy, and associations between metrics and anthropometric/biomarker outcomes in covariate-adjusted regression models.
In the FFQ analysis, correlations between the GDQS and an energy-adjusted aggregate measure of dietary protein, fiber, calcium, iron, zinc, vitamin A, folate, and vitamin B12 adequacy were 0.32 in men and 0.26 in women. GDQS scores were inversely associated with folate deficiency in men and women (GDQS Quintile 5 compared with Quintile 1 OR in women, 0.50; 95% CI: 0.31–0.79); inversely associated with underweight (OR, 0.63; 95% CI: 0.44–0.90), low midupper arm circumference (OR, 0.61; 95% CI: 0.45–0.84), and anemia (OR, 0.59; 95% CI: 0.38–0.91) in women; and positively associated with hypertension in men (OR: 1.77, 95% CI: 1.12–2.80). For comparison, the Minimum Dietary Diversity–Women (MDD-W) was associated more positively (P < 0.05) with overall nutrient adequacy in men and women, but also associated with low ferritin in men, overweight/obesity in women, and hypertension in men and women. In the 24HR analysis (restricted to women), the MDD-W was associated more positively (P < 0.05) with nutrient adequacy than the GDQS, but also associated with low ferritin, while the GDQS was associated inversely with anemia.
The GDQS performed capably in capturing nutrient adequacy–related outcomes in Ethiopian adults. Prospective studies are warranted to assess the GDQS’ performance in capturing NCD outcomes in sub-Saharan Africa.</description><subject>Adequacy</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Adults</subject><subject>Anemia</subject><subject>Anthropometry</subject><subject>Arm - anatomy & histology</subject><subject>Arm circumference</subject><subject>Biomarkers</subject><subject>Body weight</subject><subject>Calcium (dietary)</subject><subject>Circumferences</subject><subject>Diet</subject><subject>diet quality metrics</subject><subject>Diet Surveys</subject><subject>Diet, Healthy</subject><subject>dietary diversity</subject><subject>double burden of malnutrition</subject><subject>Eating</subject><subject>Ethiopia</subject><subject>Ethiopia - epidemiology</subject><subject>Ferritin</subject><subject>Ferritins - blood</subject><subject>Folic acid</subject><subject>Folic Acid - blood</subject><subject>GDQS</subject><subject>Hemoglobin</subject><subject>Hemoglobins - analysis</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Male</subject><subject>Malnutrition</subject><subject>Malnutrition - epidemiology</subject><subject>Men</subject><subject>Middle Aged</subject><subject>noncommunicable disease</subject><subject>Noncommunicable Diseases - epidemiology</subject><subject>nutrient adequacy</subject><subject>Nutrients</subject><subject>Nutrition</subject><subject>nutrition transition</subject><subject>nutritional epidemiology</subject><subject>Nutritive Value</subject><subject>Performance evaluation</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Rural areas</subject><subject>Rural Population - statistics & numerical data</subject><subject>sub-Saharan Africa</subject><subject>Supplement</subject><subject>Undernutrition</subject><subject>Underweight</subject><subject>Urban Population - statistics & numerical data</subject><subject>Vitamin A</subject><subject>Vitamin B12</subject><subject>Vitamin deficiency</subject><subject>Women</subject><subject>Young Adult</subject><issn>0022-3166</issn><issn>1541-6100</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>TOX</sourceid><sourceid>EIF</sourceid><recordid>eNp9kt9u0zAUxiMEYmVwwwMgSwgJoZbZjpPGN0hR96dIAwTbuLUc-6R1ldiZHW_0sXhDPFomQIgrS_5-_s53znGWPSf4LcE8P9rYI_tNNrRkD7IJKRiZlQTjh9kEY0pnOSnLg-xJCBuMMWG8epwd5KysOOHVJPt-uQZ01rlGdujYwIg-R9mZcYsulPOATEB1CE4ZOYJGt2Zco6VZrcGjj3H0BuyIag3XUartFH0wOg5D0mrfo4XxKvYteLAKpugrWBcDWkLvVqmasVMkrUYX4GOPTl2X_FHdO7tCV76R9qf4JfqU6mRcGzeYdFfr2I3hafaolV2AZ_vzMLs6PblcLGfnn87eL-rzmWIVGWdSKUJYo1vacFbyVrOCUFUAxzKnraqopEUl5zmmFS-SQFmu6ZxK1s5LYAryw-zdzneITQ9apV5THDF400u_FU4a8adizVqs3I2oijIVZMng9d7Au-sIYRS9CQq6TlpIsxCpflHxOS-rhL78C9246G1qT6StEp5zWtJEvdlRyrsQPLT3YQgWdz9BbKzY_4QEv_g9_j36a_UJeLUDXBz-b8R2HKRh3xjwIihzt1RtPKhRaGf-9ewHqaPRTA</recordid><startdate>20211001</startdate><enddate>20211001</enddate><creator>Bromage, Sabri</creator><creator>Andersen, Christopher T</creator><creator>Tadesse, Amare W</creator><creator>Passarelli, Simone</creator><creator>Hemler, Elena C</creator><creator>Fekadu, Habtamu</creator><creator>Sudfeld, Christopher R</creator><creator>Worku, Alemayehu</creator><creator>Berhane, Hanna</creator><creator>Batis, Carolina</creator><creator>Bhupathiraju, Shilpa N</creator><creator>Fung, Teresa T</creator><creator>Li, Yanping</creator><creator>Stampfer, Meir J</creator><creator>Deitchler, Megan</creator><creator>Willett, Walter C</creator><creator>Fawzi, Wafaie W</creator><general>Elsevier Inc</general><general>Oxford University Press</general><general>American Institute of Nutrition</general><scope>6I.</scope><scope>AAFTH</scope><scope>TOX</scope><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>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-3203-3638</orcidid><orcidid>https://orcid.org/0000-0002-0412-2748</orcidid></search><sort><creationdate>20211001</creationdate><title>The Global Diet Quality Score is Associated with Higher Nutrient Adequacy, Midupper Arm Circumference, Venous Hemoglobin, and Serum Folate Among Urban and Rural Ethiopian Adults</title><author>Bromage, Sabri ; Andersen, Christopher T ; Tadesse, Amare W ; Passarelli, Simone ; Hemler, Elena C ; Fekadu, Habtamu ; Sudfeld, Christopher R ; Worku, Alemayehu ; Berhane, Hanna ; Batis, Carolina ; Bhupathiraju, Shilpa N ; Fung, Teresa T ; Li, Yanping ; Stampfer, Meir J ; Deitchler, Megan ; Willett, Walter C ; Fawzi, Wafaie W</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c481t-acc114bdf2b9469fd4512c5e90a32fc82a258a73028952c5243d272a4f76e4ce3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adequacy</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Adults</topic><topic>Anemia</topic><topic>Anthropometry</topic><topic>Arm - anatomy & histology</topic><topic>Arm circumference</topic><topic>Biomarkers</topic><topic>Body weight</topic><topic>Calcium (dietary)</topic><topic>Circumferences</topic><topic>Diet</topic><topic>diet quality metrics</topic><topic>Diet Surveys</topic><topic>Diet, Healthy</topic><topic>dietary diversity</topic><topic>double burden of malnutrition</topic><topic>Eating</topic><topic>Ethiopia</topic><topic>Ethiopia - epidemiology</topic><topic>Ferritin</topic><topic>Ferritins - blood</topic><topic>Folic acid</topic><topic>Folic Acid - blood</topic><topic>GDQS</topic><topic>Hemoglobin</topic><topic>Hemoglobins - analysis</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Male</topic><topic>Malnutrition</topic><topic>Malnutrition - epidemiology</topic><topic>Men</topic><topic>Middle Aged</topic><topic>noncommunicable disease</topic><topic>Noncommunicable Diseases - epidemiology</topic><topic>nutrient adequacy</topic><topic>Nutrients</topic><topic>Nutrition</topic><topic>nutrition transition</topic><topic>nutritional epidemiology</topic><topic>Nutritive Value</topic><topic>Performance evaluation</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Rural areas</topic><topic>Rural Population - statistics & numerical data</topic><topic>sub-Saharan Africa</topic><topic>Supplement</topic><topic>Undernutrition</topic><topic>Underweight</topic><topic>Urban Population - statistics & numerical data</topic><topic>Vitamin A</topic><topic>Vitamin B12</topic><topic>Vitamin deficiency</topic><topic>Women</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bromage, Sabri</creatorcontrib><creatorcontrib>Andersen, Christopher T</creatorcontrib><creatorcontrib>Tadesse, Amare W</creatorcontrib><creatorcontrib>Passarelli, Simone</creatorcontrib><creatorcontrib>Hemler, Elena C</creatorcontrib><creatorcontrib>Fekadu, Habtamu</creatorcontrib><creatorcontrib>Sudfeld, Christopher R</creatorcontrib><creatorcontrib>Worku, Alemayehu</creatorcontrib><creatorcontrib>Berhane, Hanna</creatorcontrib><creatorcontrib>Batis, Carolina</creatorcontrib><creatorcontrib>Bhupathiraju, Shilpa N</creatorcontrib><creatorcontrib>Fung, Teresa T</creatorcontrib><creatorcontrib>Li, Yanping</creatorcontrib><creatorcontrib>Stampfer, Meir J</creatorcontrib><creatorcontrib>Deitchler, Megan</creatorcontrib><creatorcontrib>Willett, Walter C</creatorcontrib><creatorcontrib>Fawzi, Wafaie W</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Oxford Academic Journals (Open Access)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The Journal of nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bromage, Sabri</au><au>Andersen, Christopher T</au><au>Tadesse, Amare W</au><au>Passarelli, Simone</au><au>Hemler, Elena C</au><au>Fekadu, Habtamu</au><au>Sudfeld, Christopher R</au><au>Worku, Alemayehu</au><au>Berhane, Hanna</au><au>Batis, Carolina</au><au>Bhupathiraju, Shilpa N</au><au>Fung, Teresa T</au><au>Li, Yanping</au><au>Stampfer, Meir J</au><au>Deitchler, Megan</au><au>Willett, Walter C</au><au>Fawzi, Wafaie W</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Global Diet Quality Score is Associated with Higher Nutrient Adequacy, Midupper Arm Circumference, Venous Hemoglobin, and Serum Folate Among Urban and Rural Ethiopian Adults</atitle><jtitle>The Journal of nutrition</jtitle><addtitle>J Nutr</addtitle><date>2021-10-01</date><risdate>2021</risdate><volume>151</volume><issue>Supplement_2</issue><spage>130S</spage><epage>142S</epage><pages>130S-142S</pages><issn>0022-3166</issn><eissn>1541-6100</eissn><abstract>Nutritionally inadequate diets in Ethiopia contribute to a persisting national burden of adult undernutrition, while the prevalence of noncommunicable diseases (NCDs) is rising.
To evaluate performance of a novel Global Diet Quality Score (GDQS) in capturing diet quality outcomes among Ethiopian adults.
We scored the GDQS and a suite of comparison metrics in secondary analyses of FFQ and 24-hour recall (24HR) data from a population-based cross-sectional survey of nonpregnant, nonlactating women of reproductive age and men (15–49 years) in Addis Ababa and 5 predominately rural regions. We evaluated Spearman correlations between metrics and energy-adjusted nutrient adequacy, and associations between metrics and anthropometric/biomarker outcomes in covariate-adjusted regression models.
In the FFQ analysis, correlations between the GDQS and an energy-adjusted aggregate measure of dietary protein, fiber, calcium, iron, zinc, vitamin A, folate, and vitamin B12 adequacy were 0.32 in men and 0.26 in women. GDQS scores were inversely associated with folate deficiency in men and women (GDQS Quintile 5 compared with Quintile 1 OR in women, 0.50; 95% CI: 0.31–0.79); inversely associated with underweight (OR, 0.63; 95% CI: 0.44–0.90), low midupper arm circumference (OR, 0.61; 95% CI: 0.45–0.84), and anemia (OR, 0.59; 95% CI: 0.38–0.91) in women; and positively associated with hypertension in men (OR: 1.77, 95% CI: 1.12–2.80). For comparison, the Minimum Dietary Diversity–Women (MDD-W) was associated more positively (P < 0.05) with overall nutrient adequacy in men and women, but also associated with low ferritin in men, overweight/obesity in women, and hypertension in men and women. In the 24HR analysis (restricted to women), the MDD-W was associated more positively (P < 0.05) with nutrient adequacy than the GDQS, but also associated with low ferritin, while the GDQS was associated inversely with anemia.
The GDQS performed capably in capturing nutrient adequacy–related outcomes in Ethiopian adults. Prospective studies are warranted to assess the GDQS’ performance in capturing NCD outcomes in sub-Saharan Africa.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>34689198</pmid><doi>10.1093/jn/nxab264</doi><orcidid>https://orcid.org/0000-0002-3203-3638</orcidid><orcidid>https://orcid.org/0000-0002-0412-2748</orcidid><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; Alma/SFX Local Collection; EZB Electronic Journals Library |
subjects | Adequacy Adolescent Adult Adults Anemia Anthropometry Arm - anatomy & histology Arm circumference Biomarkers Body weight Calcium (dietary) Circumferences Diet diet quality metrics Diet Surveys Diet, Healthy dietary diversity double burden of malnutrition Eating Ethiopia Ethiopia - epidemiology Ferritin Ferritins - blood Folic acid Folic Acid - blood GDQS Hemoglobin Hemoglobins - analysis Humans Hypertension Male Malnutrition Malnutrition - epidemiology Men Middle Aged noncommunicable disease Noncommunicable Diseases - epidemiology nutrient adequacy Nutrients Nutrition nutrition transition nutritional epidemiology Nutritive Value Performance evaluation Regression analysis Regression models Rural areas Rural Population - statistics & numerical data sub-Saharan Africa Supplement Undernutrition Underweight Urban Population - statistics & numerical data Vitamin A Vitamin B12 Vitamin deficiency Women Young Adult |
title | The Global Diet Quality Score is Associated with Higher Nutrient Adequacy, Midupper Arm Circumference, Venous Hemoglobin, and Serum Folate Among Urban and Rural Ethiopian Adults |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T15%3A20%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20Global%20Diet%20Quality%20Score%20is%20Associated%20with%20Higher%20Nutrient%20Adequacy,%20Midupper%20Arm%20Circumference,%20Venous%20Hemoglobin,%20and%20Serum%20Folate%20Among%20Urban%20and%20Rural%20Ethiopian%20Adults&rft.jtitle=The%20Journal%20of%20nutrition&rft.au=Bromage,%20Sabri&rft.date=2021-10-01&rft.volume=151&rft.issue=Supplement_2&rft.spage=130S&rft.epage=142S&rft.pages=130S-142S&rft.issn=0022-3166&rft.eissn=1541-6100&rft_id=info:doi/10.1093/jn/nxab264&rft_dat=%3Cproquest_pubme%3E2641939262%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2641939262&rft_id=info:pmid/34689198&rft_oup_id=10.1093/jn/nxab264&rft_els_id=S0022316622004783&rfr_iscdi=true |