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Validity of a food-frequency questionnaire for a large prospective cohort study in Bangladesh

Published online by Cambridge University Press:  09 March 2007

Yu Chen ,
Habibul Ahsan ,
Faruque Parvez  and
Geoffrey R. Howe
Yu Chen
Affiliation:
Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA
Habibul Ahsan*
Affiliation:
Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA Herbert Irving Comprehensive Cancer Center, Columbia University, New York, USA
Faruque Parvez
Affiliation:
Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, USA
Geoffrey R. Howe
Affiliation:
Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA
*
*Corresponding author: Dr Habibul Ahsan, 722 West 168th Street, Room 720G, NY10032, New York, USA, fax +1 212 305 9413, email, [email protected]
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Abstract

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We have developed a thirty-nine-item semi-quantitative food-frequency questionnaire (FFQ) to assess the dietary consumption of 11 746 men and women in a prospective cohort study that evaluates the health effects of As from drinking water in Bangladesh. In order to validate the FFQ, two 7 d food diaries (FD) were completed for 189 randomly selected cohort participants in two different seasons of the year. Nutrient values were converted based on both the United States Department of Agriculture's National Nutrient Database and a food composition table for the Indian subcontinent. Pearson product-moment and Spearman non-parametric rank correlation coefficients comparing food and nutrient consumptions estimated from FFQ and 7 d FD were calculated based on log-transformed consumption values with or without adjustment for total energy and correction for within-individual variation. Correlations of macronutrients and common micronutrients including total fat, monounsaturated fat, polyunsaturated fat, saturated fat, protein, carbohydrate, dietary fibre, Na, K, vitamin B6, vitamin B12, riboflavin, Mn, thiamin and Fe were moderately good, ranging from 0·30 to 0·76. However, correlations of other micronutrients were weak (<0·30). Large seasonal variations in intakes of retinol equivalents and vitamin C were observed. This analysis documents the degree of validity of the FFQ in measuring specific nutrient intakes in the study population. To our knowledge, the present study is the first to document the validity of a FFQ with the use of 7 d FD in a Bangladeshi population.

Keywords

ArsenicValidation studyFood-frequency questionnairesFood diariesNutritional epidemiology
Type
Research Article
Information
British Journal of Nutrition , Volume 92 , Issue 5 , November 2004 , pp. 851 - 859
Copyright
Copyright © The Nutrition Society 2004

References

Abdullah, M & Ahmed, L (1993) Validating a simplified approach to the dietary assessment of vitamin A intake in preschool children. Eur J Clin Nutr 47, 115–122.Google Scholar
Abdullah, M & Wheeler, EF (1985) Seasonal variations, and the intra-household distribution of food in a Bangladeshi village. Am J Clin Nutr 41, 1305–1313.Google Scholar
Beaton, GH, Milner, J & Corey, P (1979) Sources of variance in 24-hour dietary recall data: implications for nutrition study design and interpretation. Am J Clin Nutr 32, 2546–2549.Google Scholar
British Geological Survey (1999) Arsenic contamination of groundwater. Bangladesh phase 1. http://www.bgs.ac.uk/arsenic/Google Scholar
Brown, KH, Black, RE, Robertson, AD & Becker, S (1985) Effects of season and illness on the dietary intake of weanlings during longitudinal studies in rural Bangladesh. Am J Clin Nutr 41, 343–355.CrossRefGoogle ScholarPubMed
Erkkola, M, Karppinen, M, Javanainen, J, Rasanen, L, Knip, M & Virtanen, SM (2001) Validity and reproducibility of a food frequency questionnaire for pregnant Finnish women. Am J Epidemiol 154, 466–476.Google Scholar
Feskanich, D, Rimm, EB, Giovannucci, EL, Colditz, GA, Stampfer, MJ, Litin, LB & Willett, WC (1993) Reproducibility and validity of food intake measurements from a semiquantitative food frequency questionnaire. J Am Diet Assoc 93, 790–796.Google Scholar
Gopalan, C, Rama Sastri, BV & Balasubramanian, SC (1989) Nutritive Value of Indian Foods Hyderabad, India Indian Council of Medical Research, National Institute of Nutrition.Google Scholar
Hsueh, YM, Cheng, GS, Wu, MM, Yu, HS, Kuo, TL & Chen, CJ (1995) Multiple risk factors associated with arsenic-induced skin cancer: effects of chronic liver disease and malnutritional status. Br J Cancer 71, 109–114.Google Scholar
Hsueh, YM, Ko, YF, Huang, YK, Chen, HW, Chiou, HY, Huang, YL, Yang, MH & Chen, CJ (2003) Determinants of inorganic arsenic methylation capability among residents of the Lanyang Basin, Taiwan: arsenic and selenium exposure and alcohol consumption. Toxicol Lett 137, 49–63.Google Scholar
Hsueh, YM, Wu, WL, Huang, YL, Chiou, HY, Tseng, CH & Chen, CJ (1998) Low serum carotene level and increased risk of ischemic heart disease related to long-term arsenic exposure. Atherosclerosis 141, 249–257.CrossRefGoogle ScholarPubMed
Jain, M, Howe, GR & Rohan, T (1996) Dietary assessment in epidemiology: comparison on food frequency and a diet history questionnaire with a 7-day food record. Am J Epidemiol 143, 953–960.CrossRefGoogle Scholar
Liu, K, Stamler, J, Dyer, A, McKeever, J & McKeever, P (1978) Statistical methods to assess and minimize the role of intra-individual variability in obscuring the relationship between dietary lipids and serum cholesterol. J Chronic Dis 31, 399–418.Google Scholar
Misbahuddin, M (2003) Consumption of arsenic through cooked rice. Lancet 361, 435–436.Google Scholar
Rimm, EB, Giovannucci, EL, Stampfer, MJ, Colditz, GA, Litin, LB & Willett, WC (1992) Reproducibility and validity of an expanded self-administered semiquantitative food frequency questionnaire among male health professionals. Am J Epidemiol 135, 1114–1126.Google Scholar
Roychowdhury, T, Uchino, T, Tokunaga, H & Ando, M (2002) Survey of arsenic in food composites from an arsenic-affected area of West Bengal, India. Food Chem Toxicol 40, 1611–1621.Google Scholar
Salvini, S, Hunter, DJ, Sampson, L, Stampfer, MJ, Colditz, GA, Rosner, B & Willett, WC (1989) Food-based validation of a dietary questionnaire: the effects of week-to-week variation in food consumption. Int J Epidemiol 18, 858–867.CrossRefGoogle ScholarPubMed
Shrout, PE & Fleiss, JL (1979) Intraclass correlations: uses in assessing rater reliability. Psychol Bull 86, 420–428.CrossRefGoogle ScholarPubMed
United States, Department of Agriculture (2002) Agricultural Research Service Nutrient Data Laboratory Home Page. USDA Nutrient Database for Standard Reference, Release 15. http://www.nal.usda.gov/fnic/foodcomp/Data/SR15/sr15.htmlGoogle Scholar
van Geen, A, Ahsan, H & Horneman, AH (2002) Promotion of well-switching to mitigate the current arsenic crisis in Bangladesh. Bull World Health Organ 80, 732–737.Google ScholarPubMed
Walker, AM & Blettner, M (1985) Comparing imperfect measures of exposure. Am J Epidemiol 121, 783–790.Google Scholar
Willett, W (1987) Nutritional epidemiology: issues and challenges. Int J Epidemiol 16, 312–317.Google Scholar
Willett, W & Lenart, E (1998) Reproducibility and validity of food-frequency questionnaires. In Nutritional Epidemiology, pp. 101–147 [Willett, WC, editors]. New York: Oxford University Press.CrossRefGoogle Scholar
Willett, W & Stampfer, MJ (1986) Total energy intake: implications for epidemiologic analyses. Am J Epidemiol 124, 17–27.Google Scholar
Willett, WC, Sampson, L, Stampfer, MJ, Rosner, B, Bain, C, Witschi, J, Hennekens, CH & Speizer, FE (1985) Reproducibility and validity of a semiquantitative food frequency questionnaire. Am J Epidemiol 122, 51–65.CrossRefGoogle ScholarPubMed