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

Assessing habitual food consumption is challenging in multi-ethnic cosmopolitan settings. We systematically developed a semi-quantitative food frequency questionnaire (FFQ) in a multi-ethnic population in Singapore, using data from two 24-h dietary recalls from a nationally representative sample of...

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Autores principales: Neelakantan, Nithya, Whitton, Clare, Seah, Sharna, Koh, Hiromi, Rebello, Salome A., Lim, Jia Yi, Chen, Shiqi, Chan, Mei Fen, Chew, Ling, van Dam, Rob M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5037515/
https://www.ncbi.nlm.nih.gov/pubmed/27618909
http://dx.doi.org/10.3390/nu8090528
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author Neelakantan, Nithya
Whitton, Clare
Seah, Sharna
Koh, Hiromi
Rebello, Salome A.
Lim, Jia Yi
Chen, Shiqi
Chan, Mei Fen
Chew, Ling
van Dam, Rob M.
author_facet Neelakantan, Nithya
Whitton, Clare
Seah, Sharna
Koh, Hiromi
Rebello, Salome A.
Lim, Jia Yi
Chen, Shiqi
Chan, Mei Fen
Chew, Ling
van Dam, Rob M.
author_sort Neelakantan, Nithya
collection PubMed
description Assessing habitual food consumption is challenging in multi-ethnic cosmopolitan settings. We systematically developed a semi-quantitative food frequency questionnaire (FFQ) in a multi-ethnic population in Singapore, using data from two 24-h dietary recalls from a nationally representative sample of 805 Singapore residents of Chinese, Malay and Indian ethnicity aged 18–79 years. Key steps included combining reported items on 24-h recalls into standardized food groups, developing a food list for the FFQ, pilot testing of different question formats, and cognitive interviews. Percentage contribution analysis and stepwise regression analysis were used to identify foods contributing cumulatively ≥90% to intakes and individually ≥1% to intake variance of key nutrients, for the total study population and for each ethnic group separately. Differences between ethnic groups were observed in proportions of consumers of certain foods (e.g., lentil stews, 1%–47%; and pork dishes, 0%–50%). The number of foods needed to explain variability in nutrient intakes differed substantially by ethnic groups and was substantially larger for the total population than for separate ethnic groups. A 163-item FFQ covered >95% of total population intake for all key nutrients. The methodological insights provided in this paper may be useful in developing similar FFQs in other multi-ethnic settings.
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spelling pubmed-50375152016-10-15 Development of a Semi-Quantitative Food Frequency Questionnaire to Assess the Dietary Intake of a Multi-Ethnic Urban Asian Population Neelakantan, Nithya Whitton, Clare Seah, Sharna Koh, Hiromi Rebello, Salome A. Lim, Jia Yi Chen, Shiqi Chan, Mei Fen Chew, Ling van Dam, Rob M. Nutrients Article Assessing habitual food consumption is challenging in multi-ethnic cosmopolitan settings. We systematically developed a semi-quantitative food frequency questionnaire (FFQ) in a multi-ethnic population in Singapore, using data from two 24-h dietary recalls from a nationally representative sample of 805 Singapore residents of Chinese, Malay and Indian ethnicity aged 18–79 years. Key steps included combining reported items on 24-h recalls into standardized food groups, developing a food list for the FFQ, pilot testing of different question formats, and cognitive interviews. Percentage contribution analysis and stepwise regression analysis were used to identify foods contributing cumulatively ≥90% to intakes and individually ≥1% to intake variance of key nutrients, for the total study population and for each ethnic group separately. Differences between ethnic groups were observed in proportions of consumers of certain foods (e.g., lentil stews, 1%–47%; and pork dishes, 0%–50%). The number of foods needed to explain variability in nutrient intakes differed substantially by ethnic groups and was substantially larger for the total population than for separate ethnic groups. A 163-item FFQ covered >95% of total population intake for all key nutrients. The methodological insights provided in this paper may be useful in developing similar FFQs in other multi-ethnic settings. MDPI 2016-08-27 /pmc/articles/PMC5037515/ /pubmed/27618909 http://dx.doi.org/10.3390/nu8090528 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Neelakantan, Nithya
Whitton, Clare
Seah, Sharna
Koh, Hiromi
Rebello, Salome A.
Lim, Jia Yi
Chen, Shiqi
Chan, Mei Fen
Chew, Ling
van Dam, Rob M.
Development of a Semi-Quantitative Food Frequency Questionnaire to Assess the Dietary Intake of a Multi-Ethnic Urban Asian Population
title Development of a Semi-Quantitative Food Frequency Questionnaire to Assess the Dietary Intake of a Multi-Ethnic Urban Asian Population
title_full Development of a Semi-Quantitative Food Frequency Questionnaire to Assess the Dietary Intake of a Multi-Ethnic Urban Asian Population
title_fullStr Development of a Semi-Quantitative Food Frequency Questionnaire to Assess the Dietary Intake of a Multi-Ethnic Urban Asian Population
title_full_unstemmed Development of a Semi-Quantitative Food Frequency Questionnaire to Assess the Dietary Intake of a Multi-Ethnic Urban Asian Population
title_short Development of a Semi-Quantitative Food Frequency Questionnaire to Assess the Dietary Intake of a Multi-Ethnic Urban Asian Population
title_sort development of a semi-quantitative food frequency questionnaire to assess the dietary intake of a multi-ethnic urban asian population
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5037515/
https://www.ncbi.nlm.nih.gov/pubmed/27618909
http://dx.doi.org/10.3390/nu8090528
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