Literature DB >> 19451177

Estimating nutrient intake from a food frequency questionnaire: incorporating the elements of race and geographic region.

Lisa B Signorello1, Heather M Munro, Maciej S Buchowski, David G Schlundt, Sarah S Cohen, Margaret K Hargreaves, William J Blot.   

Abstract

Assignment of nutrient values to food frequency questionnaire (FFQ) items does not usually account for participant characteristics (besides age or sex) that may influence eating patterns. For the Southern Community Cohort Study, the authors developed and assessed results from a nutrient database system incorporating sex-, race-, and census-region-specific food lists, using 24-hour recall data from the National Health and Nutrition Examination Survey (NHANES III, NHANES 1999-2000, NHANES 2001-2002, and NHANES 2003-2004) and the Continuing Survey of Food Intakes by Individuals that permitted estimation of nutrients tailored to participants' characteristics. For each of 15 nutrients, comparisons were made to a "standard" nutrient scoring system based on nationwide race-blind 24-hour recalls from these same sources. Using FFQ data from 67,926 Southern Community Cohort Study participants (47,038 African-American, 20,888 non-Hispanic white) aged 40-79 years who enrolled in the study during 2002-2008, the region- and race-informed system tended to produce increased estimated intake for most nutrients for black women, particularly for saturated fat (7.1%), monounsaturated fat (8.3%), and polyunsaturated fat (7.2%); smaller but significant changes (<5%) were also observed for nutrient intake for men and white women. These types of refinements in nutrient databases can be considered a means of enhancing the accuracy of dietary estimation using FFQs.

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Year:  2009        PMID: 19451177      PMCID: PMC2733041          DOI: 10.1093/aje/kwp098

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  22 in total

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Authors:  A F Subar; D Midthune; M Kulldorff; C C Brown; F E Thompson; V Kipnis; A Schatzkin
Journal:  Am J Epidemiol       Date:  2000-08-01       Impact factor: 4.897

2.  Understanding interobserver agreement: the kappa statistic.

Authors:  Anthony J Viera; Joanne M Garrett
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Review 4.  Assessments of food-frequency questionnaires in minority populations.

Authors:  R J Coates; C P Monteilh
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5.  Southern community cohort study: establishing a cohort to investigate health disparities.

Authors:  Lisa B Signorello; Margaret K Hargreaves; Mark D Steinwandel; Wei Zheng; Qiuyin Cai; David G Schlundt; Maciej S Buchowski; Carolyne W Arnold; Joseph K McLaughlin; William J Blot
Journal:  J Natl Med Assoc       Date:  2005-07       Impact factor: 1.798

6.  Adaptation of a food frequency questionnaire to assess diets of Puerto Rican and non-Hispanic adults.

Authors:  K L Tucker; L A Bianchi; J Maras; O I Bermudez
Journal:  Am J Epidemiol       Date:  1998-09-01       Impact factor: 4.897

7.  Associations of race/ethnicity, education, and dietary intervention with the validity and reliability of a food frequency questionnaire: the Women's Health Trial Feasibility Study in Minority Populations.

Authors:  A R Kristal; Z Feng; R J Coates; A Oberman; V George
Journal:  Am J Epidemiol       Date:  1997-11-15       Impact factor: 4.897

8.  Use of NHANES data to assign nutrient densities to food groups in a multiethnic diet history questionnaire.

Authors:  D M Dreon; E M John; Y DiCiccio; A S Whittemore
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9.  An evaluation of a food frequency questionnaire for assessing dietary intake of specific carotenoids and vitamin E among low-income black women.

Authors:  R J Coates; J W Eley; G Block; E W Gunter; A L Sowell; C Grossman; R S Greenberg
Journal:  Am J Epidemiol       Date:  1991-09-15       Impact factor: 4.897

10.  A study of the reliability and comparative validity of the cardia dietary history.

Authors:  K Liu; M Slattery; D Jacobs; G Cutter; A McDonald; L Van Horn; J E Hilner; B Caan; C Bragg; A Dyer
Journal:  Ethn Dis       Date:  1994       Impact factor: 1.847

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  45 in total

1.  The Southern Community Cohort Study: investigating health disparities.

Authors:  Lisa B Signorello; Margaret K Hargreaves; William J Blot
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Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-03-06       Impact factor: 4.254

3.  Yogurt consumption and colorectal polyps.

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4.  Intake of polyunsaturated fat in relation to mortality among statin users and non-users in the Southern Community Cohort Study.

Authors:  J N Kiage; U K A Sampson; L Lipworth; S Fazio; G A Mensah; Q Yu; H Munro; E A Akwo; Q Dai; W J Blot; E K Kabagambe
Journal:  Nutr Metab Cardiovasc Dis       Date:  2015-07-29       Impact factor: 4.222

5.  Race and Sex Differences in Modifiable Risk Factors and Incident Heart Failure.

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Journal:  JACC Heart Fail       Date:  2019-11-11       Impact factor: 12.035

6.  Highly Processed and Ready-to-Eat Packaged Food and Beverage Purchases Differ by Race/Ethnicity among US Households.

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7.  Race- and Sex-related Differences in Nephrolithiasis Risk Among Blacks and Whites in the Southern Community Cohort Study.

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8.  Higher protein intake is associated with increased risk for incident end-stage renal disease among blacks with diabetes in the Southern Community Cohort Study.

Authors:  R Malhotra; K L Cavanaugh; W J Blot; T A Ikizler; L Lipworth; E K Kabagambe
Journal:  Nutr Metab Cardiovasc Dis       Date:  2016-07-21       Impact factor: 4.222

9.  Associations between dietary fiber and colorectal polyp risk differ by polyp type and smoking status.

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Journal:  J Nutr       Date:  2014-02-26       Impact factor: 4.798

10.  Lifestyle factors and their combined impact on the risk of colorectal polyps.

Authors:  Zhenming Fu; Martha J Shrubsole; Walter E Smalley; Huiyun Wu; Zhi Chen; Yu Shyr; Reid M Ness; Wei Zheng
Journal:  Am J Epidemiol       Date:  2012-10-18       Impact factor: 4.897

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