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Development of a food frequency questionnaire for Sri Lankan adults

BACKGROUND: Food Frequency Questionnaires (FFQs) are commonly used in epidemiologic studies to assess long-term nutritional exposure. Because of wide variations in dietary habits in different countries, a FFQ must be developed to suit the specific population. Sri Lanka is undergoing nutritional tran...

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Autores principales: Jayawardena, Ranil, Swaminathan, Sumathi, Byrne, Nuala M, Soares, Mario J, Katulanda, Prasad, Hills, Andrew P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3496639/
https://www.ncbi.nlm.nih.gov/pubmed/22937734
http://dx.doi.org/10.1186/1475-2891-11-63
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author Jayawardena, Ranil
Swaminathan, Sumathi
Byrne, Nuala M
Soares, Mario J
Katulanda, Prasad
Hills, Andrew P
author_facet Jayawardena, Ranil
Swaminathan, Sumathi
Byrne, Nuala M
Soares, Mario J
Katulanda, Prasad
Hills, Andrew P
author_sort Jayawardena, Ranil
collection PubMed
description BACKGROUND: Food Frequency Questionnaires (FFQs) are commonly used in epidemiologic studies to assess long-term nutritional exposure. Because of wide variations in dietary habits in different countries, a FFQ must be developed to suit the specific population. Sri Lanka is undergoing nutritional transition and diet-related chronic diseases are emerging as an important health problem. Currently, no FFQ has been developed for Sri Lankan adults. In this study, we developed a FFQ to assess the regular dietary intake of Sri Lankan adults. METHODS: A nationally representative sample of 600 adults was selected by a multi-stage random cluster sampling technique and dietary intake was assessed by random 24-h dietary recall. Nutrient analysis of the FFQ required the selection of foods, development of recipes and application of these to cooked foods to develop a nutrient database. We constructed a comprehensive food list with the units of measurement. A stepwise regression method was used to identify foods contributing to a cumulative 90% of variance to total energy and macronutrients. In addition, a series of photographs were included. RESULTS: We obtained dietary data from 482 participants and 312 different food items were recorded. Nutritionists grouped similar food items which resulted in a total of 178 items. After performing step-wise multiple regression, 93 foods explained 90% of the variance for total energy intake, carbohydrates, protein, total fat and dietary fibre. Finally, 90 food items and 12 photographs were selected. CONCLUSION: We developed a FFQ and the related nutrient composition database for Sri Lankan adults. Culturally specific dietary tools are central to capturing the role of diet in risk for chronic disease in Sri Lanka. The next step will involve the verification of FFQ reproducibility and validity.
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spelling pubmed-34966392012-11-14 Development of a food frequency questionnaire for Sri Lankan adults Jayawardena, Ranil Swaminathan, Sumathi Byrne, Nuala M Soares, Mario J Katulanda, Prasad Hills, Andrew P Nutr J Research BACKGROUND: Food Frequency Questionnaires (FFQs) are commonly used in epidemiologic studies to assess long-term nutritional exposure. Because of wide variations in dietary habits in different countries, a FFQ must be developed to suit the specific population. Sri Lanka is undergoing nutritional transition and diet-related chronic diseases are emerging as an important health problem. Currently, no FFQ has been developed for Sri Lankan adults. In this study, we developed a FFQ to assess the regular dietary intake of Sri Lankan adults. METHODS: A nationally representative sample of 600 adults was selected by a multi-stage random cluster sampling technique and dietary intake was assessed by random 24-h dietary recall. Nutrient analysis of the FFQ required the selection of foods, development of recipes and application of these to cooked foods to develop a nutrient database. We constructed a comprehensive food list with the units of measurement. A stepwise regression method was used to identify foods contributing to a cumulative 90% of variance to total energy and macronutrients. In addition, a series of photographs were included. RESULTS: We obtained dietary data from 482 participants and 312 different food items were recorded. Nutritionists grouped similar food items which resulted in a total of 178 items. After performing step-wise multiple regression, 93 foods explained 90% of the variance for total energy intake, carbohydrates, protein, total fat and dietary fibre. Finally, 90 food items and 12 photographs were selected. CONCLUSION: We developed a FFQ and the related nutrient composition database for Sri Lankan adults. Culturally specific dietary tools are central to capturing the role of diet in risk for chronic disease in Sri Lanka. The next step will involve the verification of FFQ reproducibility and validity. BioMed Central 2012-08-31 /pmc/articles/PMC3496639/ /pubmed/22937734 http://dx.doi.org/10.1186/1475-2891-11-63 Text en Copyright ©2012 Jayawardena et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Jayawardena, Ranil
Swaminathan, Sumathi
Byrne, Nuala M
Soares, Mario J
Katulanda, Prasad
Hills, Andrew P
Development of a food frequency questionnaire for Sri Lankan adults
title Development of a food frequency questionnaire for Sri Lankan adults
title_full Development of a food frequency questionnaire for Sri Lankan adults
title_fullStr Development of a food frequency questionnaire for Sri Lankan adults
title_full_unstemmed Development of a food frequency questionnaire for Sri Lankan adults
title_short Development of a food frequency questionnaire for Sri Lankan adults
title_sort development of a food frequency questionnaire for sri lankan adults
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3496639/
https://www.ncbi.nlm.nih.gov/pubmed/22937734
http://dx.doi.org/10.1186/1475-2891-11-63
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