Literature DB >> 25226823

Development of the HELIUS food frequency questionnaires: ethnic-specific questionnaires to assess the diet of a multiethnic population in The Netherlands.

M H Beukers1, L H Dekker2, E J de Boer3, C W M Perenboom4, S Meijboom4, M Nicolaou2, J H M de Vries4, H A M Brants3.   

Abstract

OBJECTIVES: Ethnic minorities are often not included in studies of diet and health because of a lack of validated instruments to assess their habitual diets. Given the increased ethnic diversity in many high-income countries, insight into the diets of ethnic minorities is needed for the development of nutritional policies and interventions. In this paper, we describe the development of ethnic-specific food frequency questionnaires (FFQs) to study the diets of Surinamese (African and South Asian), Turkish, Moroccan and ethnic Dutch residents of The Netherlands.
METHODS: An existing Dutch FFQ was adapted and formed the basis for three new FFQs. Information on food intake was obtained from single 24 h recalls. Food items were selected according to their percentage contribution to and variance in absolute nutrient intake of the respective ethnic groups. A nutrient database for each FFQ was constructed, consisting of data from the Dutch Food Composition table; data on ethnic foods were based on new chemical analyses and available international data.
RESULTS: We developed four ethnic-specific FFQs using a standardised approach that included ~200 food items each and that covered more than 90% of the intake of the main nutrients of interest.
CONCLUSIONS: The developed FFQs will enable standardised and comparable assessment of the diet of five different ethnic groups and provide insight into the role of diet in differences in health between ethnic groups. The methodology described in this paper and the choices made during the development phase may be useful in developing similar FFQs in other settings.

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Year:  2014        PMID: 25226823     DOI: 10.1038/ejcn.2014.180

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  19 in total

1.  Selecting informative food items for compiling food-frequency questionnaires: comparison of procedures.

Authors:  Marja L Molag; Jeanne H M de Vries; Niels Duif; Marga C Ocké; Pieter C Dagnelie; R Alexandra Goldbohm; Pieter van't Veer
Journal:  Br J Nutr       Date:  2010-04-08       Impact factor: 3.718

2.  A regional food-frequency questionnaire for the US Mississippi Delta.

Authors:  Katherine L Tucker; Janice Maras; Catherine Champagne; Carol Connell; Susan Goolsby; Judith Weber; Sahar Zaghloul; Teresa Carithers; Margaret L Bogle
Journal:  Public Health Nutr       Date:  2005-02       Impact factor: 4.022

Review 3.  Beyond established and novel risk factors: lifestyle risk factors for cardiovascular disease.

Authors:  Dariush Mozaffarian; Peter W F Wilson; William B Kannel
Journal:  Circulation       Date:  2008-06-10       Impact factor: 29.690

4.  Singapore Chinese Health Study: development, validation, and calibration of the quantitative food frequency questionnaire.

Authors:  J H Hankin; D O Stram; K Arakawa; S Park; S H Low; H P Lee; M C Yu
Journal:  Nutr Cancer       Date:  2001       Impact factor: 2.900

5.  Prevalence, awareness, treatment, and control of hypertension among Black Surinamese, South Asian Surinamese and White Dutch in Amsterdam, The Netherlands: the SUNSET study.

Authors:  Charles Agyemang; Navin Bindraban; Gideon Mairuhu; Gert van Montfrans; Richard Koopmans; Karien Stronks
Journal:  J Hypertens       Date:  2005-11       Impact factor: 4.844

6.  Improving food frequency questionnaires: a qualitative approach using cognitive interviewing.

Authors:  A F Subar; F E Thompson; A F Smith; J B Jobe; R G Ziegler; N Potischman; A Schatzkin; A Hartman; C Swanson; L Kruse
Journal:  J Am Diet Assoc       Date:  1995-07

7.  Self-reported energy intake by FFQ compared with actual energy intake to maintain body weight in 516 adults.

Authors:  Els Siebelink; Anouk Geelen; Jeanne H M de Vries
Journal:  Br J Nutr       Date:  2011-07       Impact factor: 3.718

8.  Development of a semi-quantitative Food Frequency Questionnaire (FFQ) to assess dietary intake of multiethnic populations.

Authors:  Danit Shahar; Iris Shai; Hillel Vardi; Ayelet Brener-Azrad; Drora Fraser
Journal:  Eur J Epidemiol       Date:  2003       Impact factor: 8.082

9.  Development and evaluation of cultural food frequency questionnaires for South Asians, Chinese, and Europeans in North America.

Authors:  Linda E Kelemen; Sonia S Anand; Vladimir Vuksan; Qilong Yi; Koon K Teo; Sudarshan Devanesen; Salim Yusuf
Journal:  J Am Diet Assoc       Date:  2003-09

10.  A prospective cohort study of dietary patterns of non-western migrants in the Netherlands in relation to risk factors for cardiovascular diseases: HELIUS-Dietary Patterns.

Authors:  Louise H Dekker; Marieke B Snijder; Marja H Beukers; Jeanne H M de Vries; Henny A M Brants; Evelien J de Boer; Rob M van Dam; Karien Stronks; Mary Nicolaou
Journal:  BMC Public Health       Date:  2011-06-07       Impact factor: 3.295

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  23 in total

1.  Dietary pattern derived by reduced rank regression and depressive symptoms in a multi-ethnic population: the HELIUS study.

Authors:  E Vermeulen; K Stronks; M Visser; I A Brouwer; M B Snijder; R J T Mocking; E M Derks; A H Schene; M Nicolaou
Journal:  Eur J Clin Nutr       Date:  2017-05-03       Impact factor: 4.016

2.  Depicting the composition of gut microbiota in a population with varied ethnic origins but shared geography.

Authors:  Mélanie Deschasaux; Kristien E Bouter; Andrei Prodan; Evgeni Levin; Albert K Groen; Hilde Herrema; Valentina Tremaroli; Guido J Bakker; Ilias Attaye; Sara-Joan Pinto-Sietsma; Daniel H van Raalte; Marieke B Snijder; Mary Nicolaou; Ron Peters; Aeilko H Zwinderman; Fredrik Bäckhed; Max Nieuwdorp
Journal:  Nat Med       Date:  2018-08-27       Impact factor: 53.440

3.  Public acceptability of a sugar-sweetened beverage tax and its associated factors in the Netherlands.

Authors:  Michelle Eykelenboom; Maartje M van Stralen; Margreet R Olthof; Carry M Renders; Ingrid Hm Steenhuis
Journal:  Public Health Nutr       Date:  2020-06-04       Impact factor: 4.022

4.  Socio-economic status and ethnicity are independently associated with dietary patterns: the HELIUS-Dietary Patterns study.

Authors:  Louise H Dekker; Mary Nicolaou; Rob M van Dam; Jeanne H M de Vries; Evelien J de Boer; Henny A M Brants; Marja H Beukers; Marieke B Snijder; Karien Stronks
Journal:  Food Nutr Res       Date:  2015-06-02       Impact factor: 3.894

5.  Development of a computer-tailored nutrition and physical activity intervention for lower-educated women of Dutch, Turkish and Moroccan origin using content matching and ethnic identity tailoring.

Authors:  Kristina Romeike; Lilian Lechner; Hein de Vries; Anke Oenema
Journal:  BMC Public Health       Date:  2016-09-02       Impact factor: 3.295

6.  Comparison of cardiovascular risk factors and dietary intakes among Javanese Surinamese and South-Asian Surinamese in the Netherlands. The HELIUS study.

Authors:  Qaisar Raza; Marieke B Snijder; Jacob C Seidell; Ron J G Peters; Mary Nicolaou
Journal:  BMC Res Notes       Date:  2017-01-06

7.  Development and validation of a short food questionnaire to screen for low protein intake in community-dwelling older adults: The Protein Screener 55+ (Pro55+).

Authors:  Hanneke A H Wijnhoven; Liset E M Elstgeest; Henrica C W de Vet; Mary Nicolaou; Marieke B Snijder; Marjolein Visser
Journal:  PLoS One       Date:  2018-05-23       Impact factor: 3.240

8.  Statistical evaluation of diet-microbe associations.

Authors:  Xiang Zhang; Max Nieuwdorp; Albert K Groen; Aeiko H Zwinderman
Journal:  BMC Microbiol       Date:  2019-05-09       Impact factor: 3.605

9.  Development of a Semi-Quantitative Food Frequency Questionnaire to Assess the Dietary Intake of a Multi-Ethnic Urban Asian Population.

Authors:  Nithya Neelakantan; Clare Whitton; Sharna Seah; Hiromi Koh; Salome A Rebello; Jia Yi Lim; Shiqi Chen; Mei Fen Chan; Ling Chew; Rob M van Dam
Journal:  Nutrients       Date:  2016-08-27       Impact factor: 5.717

10.  Does a High Sugar High Fat Dietary Pattern Explain the Unequal Burden in Prevalence of Type 2 Diabetes in a Multi-Ethnic Population in The Netherlands? The HELIUS Study.

Authors:  Merel J Huisman; Sabita S Soedamah-Muthu; Esther Vermeulen; Mirthe Muilwijk; Marieke B Snijder; Mary N Nicolaou; Irene G M van Valkengoed
Journal:  Nutrients       Date:  2018-01-15       Impact factor: 5.717

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