Performance characteristics of NuVal and the Overall Nutritional Quality Index (ONQI)
BACKGROUND: Improving diets has considerable potential to improve health, but progress in this area has been limited, and advice to increase fruit and vegetable intake has largely gone unheeded. OBJECTIVES: Our objective was to test the performance characteristics of the Overall Nutritional Quality...
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Veröffentlicht in: | The American journal of clinical nutrition 2010-04, Vol.91 (4), p.1102S-1108S |
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creator | Katz, David L Njike, Valentine Y Rhee, Lauren Q Reingold, Arthur Ayoob, Keith T |
description | BACKGROUND: Improving diets has considerable potential to improve health, but progress in this area has been limited, and advice to increase fruit and vegetable intake has largely gone unheeded. OBJECTIVES: Our objective was to test the performance characteristics of the Overall Nutritional Quality Index (ONQI), a tool designed to help improve dietary patterns one well-informed choice at a time. DESIGN: The ONQI was developed by a multidisciplinary group of nutrition and public health scientists independent of food industry interests and is the basis for the NuVal Nutritional Guidance System. Dietary guidelines, existing nutritional scoring systems, and other pertinent scientific literature were reviewed. An algorithm incorporating >30 entries that represent both micro- and macronutrient properties of foods, as well as weighting coefficients representing epidemiologic associations between nutrients and health outcomes, was developed and subjected to consumer research and testing of performance characteristics. RESULTS: ONQI and expert panel rankings correlated highly (R = 0.92, P < 0.001). In consumer testing, [almost equal to]80% of >800 study participants indicated that the ONQI would influence their purchase intent. ONQI scoring distinguished the more-healthful DASH (Dietary Approaches to Stop Hypertension) diet (mean score: 46) from the typical American diet according to the National Health and Nutrition Examination Survey (NHANES) 2003-2006 (mean score: 26.5; P < 0.01). In linear regression analysis of the NHANES 2003-2006 populations (n = 15,900), the NuVal system was significantly associated with the Healthy Eating Index 2005 (P < 0.0001). Recently generated data from ongoing studies indicate favorable effects on purchase patterns and significant correlation with health outcomes in large cohorts of men and women followed for decades. CONCLUSION: NuVal offers universally applicable nutrition guidance that is independent of food industry interests and is supported by consumer research and scientific evaluation of its performance characteristics. |
doi_str_mv | 10.3945/ajcn.2010.28450E |
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OBJECTIVES: Our objective was to test the performance characteristics of the Overall Nutritional Quality Index (ONQI), a tool designed to help improve dietary patterns one well-informed choice at a time. DESIGN: The ONQI was developed by a multidisciplinary group of nutrition and public health scientists independent of food industry interests and is the basis for the NuVal Nutritional Guidance System. Dietary guidelines, existing nutritional scoring systems, and other pertinent scientific literature were reviewed. An algorithm incorporating >30 entries that represent both micro- and macronutrient properties of foods, as well as weighting coefficients representing epidemiologic associations between nutrients and health outcomes, was developed and subjected to consumer research and testing of performance characteristics. RESULTS: ONQI and expert panel rankings correlated highly (R = 0.92, P < 0.001). In consumer testing, [almost equal to]80% of >800 study participants indicated that the ONQI would influence their purchase intent. ONQI scoring distinguished the more-healthful DASH (Dietary Approaches to Stop Hypertension) diet (mean score: 46) from the typical American diet according to the National Health and Nutrition Examination Survey (NHANES) 2003-2006 (mean score: 26.5; P < 0.01). In linear regression analysis of the NHANES 2003-2006 populations (n = 15,900), the NuVal system was significantly associated with the Healthy Eating Index 2005 (P < 0.0001). Recently generated data from ongoing studies indicate favorable effects on purchase patterns and significant correlation with health outcomes in large cohorts of men and women followed for decades. CONCLUSION: NuVal offers universally applicable nutrition guidance that is independent of food industry interests and is supported by consumer research and scientific evaluation of its performance characteristics.</description><identifier>ISSN: 0002-9165</identifier><identifier>EISSN: 1938-3207</identifier><identifier>DOI: 10.3945/ajcn.2010.28450E</identifier><identifier>PMID: 20181809</identifier><identifier>CODEN: AJCNAC</identifier><language>eng</language><publisher>Bethesda, MD: American Society for Clinical Nutrition</publisher><subject>Biological and medical sciences ; consumer attitudes ; consumer behavior ; Consumer Health Information ; Correlation analysis ; Diet ; Diet - economics ; Diet - standards ; dietary recommendations ; eating habits ; Epidemiology ; Feeding. Feeding behavior ; food choices ; food industry ; food purchasing ; foods ; Fruits ; Fundamental and applied biological sciences. Psychology ; Health Behavior ; health foods ; Health Promotion ; Health Status ; human nutrition ; Humans ; Linear Models ; literature reviews ; nutrient density ; Nutrition ; Nutrition Surveys ; nutritionists ; nutritive value ; NuVal Nutritional Guidance System ; Overall Nutrition Quality Index ; Performance evaluation ; Public health ; United States ; Vegetables ; Vertebrates: anatomy and physiology, studies on body, several organs or systems</subject><ispartof>The American journal of clinical nutrition, 2010-04, Vol.91 (4), p.1102S-1108S</ispartof><rights>2015 INIST-CNRS</rights><rights>Copyright American Society for Clinical Nutrition, Inc. 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OBJECTIVES: Our objective was to test the performance characteristics of the Overall Nutritional Quality Index (ONQI), a tool designed to help improve dietary patterns one well-informed choice at a time. DESIGN: The ONQI was developed by a multidisciplinary group of nutrition and public health scientists independent of food industry interests and is the basis for the NuVal Nutritional Guidance System. Dietary guidelines, existing nutritional scoring systems, and other pertinent scientific literature were reviewed. An algorithm incorporating >30 entries that represent both micro- and macronutrient properties of foods, as well as weighting coefficients representing epidemiologic associations between nutrients and health outcomes, was developed and subjected to consumer research and testing of performance characteristics. RESULTS: ONQI and expert panel rankings correlated highly (R = 0.92, P < 0.001). In consumer testing, [almost equal to]80% of >800 study participants indicated that the ONQI would influence their purchase intent. ONQI scoring distinguished the more-healthful DASH (Dietary Approaches to Stop Hypertension) diet (mean score: 46) from the typical American diet according to the National Health and Nutrition Examination Survey (NHANES) 2003-2006 (mean score: 26.5; P < 0.01). In linear regression analysis of the NHANES 2003-2006 populations (n = 15,900), the NuVal system was significantly associated with the Healthy Eating Index 2005 (P < 0.0001). Recently generated data from ongoing studies indicate favorable effects on purchase patterns and significant correlation with health outcomes in large cohorts of men and women followed for decades. 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Psychology</subject><subject>Health Behavior</subject><subject>health foods</subject><subject>Health Promotion</subject><subject>Health Status</subject><subject>human nutrition</subject><subject>Humans</subject><subject>Linear Models</subject><subject>literature reviews</subject><subject>nutrient density</subject><subject>Nutrition</subject><subject>Nutrition Surveys</subject><subject>nutritionists</subject><subject>nutritive value</subject><subject>NuVal Nutritional Guidance System</subject><subject>Overall Nutrition Quality Index</subject><subject>Performance evaluation</subject><subject>Public health</subject><subject>United States</subject><subject>Vegetables</subject><subject>Vertebrates: anatomy and physiology, studies on body, several organs or systems</subject><issn>0002-9165</issn><issn>1938-3207</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkU1P3DAQhq2qqCzQe09tVAm1HAIe23HsY7WidCXEgmB7tSaOXbLKJmAniP33eLVLkTj5Y555NXqGkC9AT7kWxRkubXfKaHoyJQp6_oFMQHOVc0bLj2RCKWW5Blnsk4MYl5QCE0p-IvupRYGiekIW1y74Pqywsy6z9xjQDi40cWhszHqfXY1_sc2wq7Ph3mXzJxewbdPvEJqh6btUuxmxbYZ1Nutq95z9nF_dzE6OyJ7HNrrPu_OQLH6f303_5Jfzi9n012VuhVRDjiBqqJDXKHhJlRCKOagqLn1VMWltXVSprDmgkJp69FpDjemmHZQaGD8kP7a5D6F_HF0czKqJ1rUtdq4foyk5Byi0Fon8_o5c9mNI80fDOGgmuaIJolvIhj7G4Lx5CM0Kw9oANRvhZiPcbISbrfDU8nWXO1YrV_9veDWcgOMdgNFi60My3cQ3jklagioT923LeewN_ksrMIvblMI3QVKmtb4ATV2ROg</recordid><startdate>20100401</startdate><enddate>20100401</enddate><creator>Katz, David L</creator><creator>Njike, Valentine Y</creator><creator>Rhee, Lauren Q</creator><creator>Reingold, Arthur</creator><creator>Ayoob, Keith T</creator><general>American Society for Clinical Nutrition</general><general>American Society for Nutrition</general><general>American Society for Clinical Nutrition, Inc</general><scope>FBQ</scope><scope>IQODW</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>7QP</scope><scope>7T7</scope><scope>7TS</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>20100401</creationdate><title>Performance characteristics of NuVal and the Overall Nutritional Quality Index (ONQI)</title><author>Katz, David L ; Njike, Valentine Y ; Rhee, Lauren Q ; Reingold, Arthur ; Ayoob, Keith T</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c468t-a14d1ba3da437084482e1bb36fbb26ccd5b1ba931a4690faf991da90f9e179123</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Biological and medical sciences</topic><topic>consumer attitudes</topic><topic>consumer behavior</topic><topic>Consumer Health Information</topic><topic>Correlation analysis</topic><topic>Diet</topic><topic>Diet - economics</topic><topic>Diet - standards</topic><topic>dietary recommendations</topic><topic>eating habits</topic><topic>Epidemiology</topic><topic>Feeding. 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Psychology</topic><topic>Health Behavior</topic><topic>health foods</topic><topic>Health Promotion</topic><topic>Health Status</topic><topic>human nutrition</topic><topic>Humans</topic><topic>Linear Models</topic><topic>literature reviews</topic><topic>nutrient density</topic><topic>Nutrition</topic><topic>Nutrition Surveys</topic><topic>nutritionists</topic><topic>nutritive value</topic><topic>NuVal Nutritional Guidance System</topic><topic>Overall Nutrition Quality Index</topic><topic>Performance evaluation</topic><topic>Public health</topic><topic>United States</topic><topic>Vegetables</topic><topic>Vertebrates: anatomy and physiology, studies on body, several organs or systems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Katz, David L</creatorcontrib><creatorcontrib>Njike, Valentine Y</creatorcontrib><creatorcontrib>Rhee, Lauren Q</creatorcontrib><creatorcontrib>Reingold, Arthur</creatorcontrib><creatorcontrib>Ayoob, Keith T</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Physical Education Index</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>The American journal of clinical nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Katz, David L</au><au>Njike, Valentine Y</au><au>Rhee, Lauren Q</au><au>Reingold, Arthur</au><au>Ayoob, Keith T</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Performance characteristics of NuVal and the Overall Nutritional Quality Index (ONQI)</atitle><jtitle>The American journal of clinical nutrition</jtitle><addtitle>Am J Clin Nutr</addtitle><date>2010-04-01</date><risdate>2010</risdate><volume>91</volume><issue>4</issue><spage>1102S</spage><epage>1108S</epage><pages>1102S-1108S</pages><issn>0002-9165</issn><eissn>1938-3207</eissn><coden>AJCNAC</coden><abstract>BACKGROUND: Improving diets has considerable potential to improve health, but progress in this area has been limited, and advice to increase fruit and vegetable intake has largely gone unheeded. OBJECTIVES: Our objective was to test the performance characteristics of the Overall Nutritional Quality Index (ONQI), a tool designed to help improve dietary patterns one well-informed choice at a time. DESIGN: The ONQI was developed by a multidisciplinary group of nutrition and public health scientists independent of food industry interests and is the basis for the NuVal Nutritional Guidance System. Dietary guidelines, existing nutritional scoring systems, and other pertinent scientific literature were reviewed. An algorithm incorporating >30 entries that represent both micro- and macronutrient properties of foods, as well as weighting coefficients representing epidemiologic associations between nutrients and health outcomes, was developed and subjected to consumer research and testing of performance characteristics. RESULTS: ONQI and expert panel rankings correlated highly (R = 0.92, P < 0.001). In consumer testing, [almost equal to]80% of >800 study participants indicated that the ONQI would influence their purchase intent. ONQI scoring distinguished the more-healthful DASH (Dietary Approaches to Stop Hypertension) diet (mean score: 46) from the typical American diet according to the National Health and Nutrition Examination Survey (NHANES) 2003-2006 (mean score: 26.5; P < 0.01). In linear regression analysis of the NHANES 2003-2006 populations (n = 15,900), the NuVal system was significantly associated with the Healthy Eating Index 2005 (P < 0.0001). Recently generated data from ongoing studies indicate favorable effects on purchase patterns and significant correlation with health outcomes in large cohorts of men and women followed for decades. CONCLUSION: NuVal offers universally applicable nutrition guidance that is independent of food industry interests and is supported by consumer research and scientific evaluation of its performance characteristics.</abstract><cop>Bethesda, MD</cop><pub>American Society for Clinical Nutrition</pub><pmid>20181809</pmid><doi>10.3945/ajcn.2010.28450E</doi><oa>free_for_read</oa></addata></record> |
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subjects | Biological and medical sciences consumer attitudes consumer behavior Consumer Health Information Correlation analysis Diet Diet - economics Diet - standards dietary recommendations eating habits Epidemiology Feeding. Feeding behavior food choices food industry food purchasing foods Fruits Fundamental and applied biological sciences. Psychology Health Behavior health foods Health Promotion Health Status human nutrition Humans Linear Models literature reviews nutrient density Nutrition Nutrition Surveys nutritionists nutritive value NuVal Nutritional Guidance System Overall Nutrition Quality Index Performance evaluation Public health United States Vegetables Vertebrates: anatomy and physiology, studies on body, several organs or systems |
title | Performance characteristics of NuVal and the Overall Nutritional Quality Index (ONQI) |
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