Literature DB >> 8279423

Development and validation of dietary assessment methods for culturally diverse populations.

J H Hankin1, L R Wilkens.   

Abstract

Culturally diverse populations with variable dietary and disease patterns provide a unique opportunity for conducting epidemiologic studies to identify the role of diet in the etiology of chronic diseases. The dietary method for epidemiologic studies, such as cohort or case-control studies, should generally be a diet history (or quantitative food frequency) of selected food items consumed during a usual month. Knowledge of the eating patterns of each ethnic group in the study is needed to develop an appropriate questionnaire. The diet history may be validated by collecting multiple 24-h recalls or food records from representative samples of each ethnic group and comparing the mean dietary intakes with the values obtained from the diet history. Examples of studies of culturally diverse populations and the development and validation of the dietary methods are discussed.

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Year:  1994        PMID: 8279423     DOI: 10.1093/ajcn/59.1.198S

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  13 in total

1.  Fruit and vegetable juices and Alzheimer's disease: the Kame Project.

Authors:  Qi Dai; Amy R Borenstein; Yougui Wu; James C Jackson; Eric B Larson
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2.  Human food preferences are associated with a 5-HT(2A) serotonergic receptor polymorphism.

Authors:  P S Prado-Lima; I B M Cruz; C H A Schwanke; C A Netto; J Licinio
Journal:  Mol Psychiatry       Date:  2006-10       Impact factor: 15.992

3.  Ethnic and gender differences in ideal body size and related attitudes among Asians, Native Hawaiians, and Whites.

Authors:  Claire Townsend; Julie Y Takishima-Lacasa; Janet D Latner; Andrew Grandinetti; Joseph Keawe'aimoku Kaholokula
Journal:  Hawaii J Med Public Health       Date:  2014-08

4.  Prevalence, detection, and management of cardiovascular risk factors in different ethnic groups in south London.

Authors:  F P Cappuccio; D G Cook; R W Atkinson; P Strazzullo
Journal:  Heart       Date:  1997-12       Impact factor: 5.994

5.  Energy, macro- and micronutrient intake among a true longitudinal group of South African adolescents at two interceptions (2000 and 2003): the Birth-to-Twenty (Bt20) Study.

Authors:  Jennifer M MacKeown; Titilola M Pedro; Shane A Norris
Journal:  Public Health Nutr       Date:  2007-03-05       Impact factor: 4.022

6.  The internal validity of a dietary pattern analysis. The Framingham Nutrition Studies.

Authors:  P A Quatromoni; D L Copenhafer; S Demissie; R B D'Agostino; C E O'Horo; B-H Nam; B E Millen
Journal:  J Epidemiol Community Health       Date:  2002-05       Impact factor: 3.710

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

Authors:  Lisa B Signorello; Heather M Munro; Maciej S Buchowski; David G Schlundt; Sarah S Cohen; Margaret K Hargreaves; William J Blot
Journal:  Am J Epidemiol       Date:  2009-05-18       Impact factor: 4.897

8.  Association between manganese superoxide dismutase (MnSOD) gene polymorphism and elderly obesity.

Authors:  Marco Aurélio Echart Montano; Juan Pablo Barrio Lera; Maria Gabriela Valle Gottlieb; Carla Helena Augustin Schwanke; Maria Izabel Ugalde Marques da Rocha; Maria Fernanda Manica-Cattani; Greice Feyl dos Santos; Ivana Beatrice Manica da Cruz
Journal:  Mol Cell Biochem       Date:  2009-03-05       Impact factor: 3.396

9.  Development and validation of a food frequency questionnaire for assessing dietary calcium intake in the general population.

Authors:  Faidon Magkos; Yannis Manios; Eirini Babaroutsi; Labros S Sidossis
Journal:  Osteoporos Int       Date:  2004-09-10       Impact factor: 4.507

Review 10.  Dietary assessment in minority ethnic groups: a systematic review of instruments for portion-size estimation in the United Kingdom.

Authors:  Eva Almiron-Roig; Amanda Aitken; Catherine Galloway; Basma Ellahi
Journal:  Nutr Rev       Date:  2017-03-01       Impact factor: 7.110

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