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Development and testing of a quantitative food frequency questionnaire for use in Gujarat, India

Published online by Cambridge University Press:  02 January 2007

James R Hebert ,
Prakash C Gupta ,
Ramesh B Bhonsle ,
Pesi N Sinor ,
Hemali Mehta  and
Fali S Mehta
James R Hebert*
Affiliation:
Division of Preventive and Behavioral Medicine, Department of Medicine, University of Massachusetts Medical School, 55 Lake Avenue, Worcester, MA 01655, USA
Prakash C Gupta
Affiliation:
Epidemiology Research UnitTata Institute of Fundamental Research, Homi Bhabha Road, Bombay 400005, India
Ramesh B Bhonsle
Affiliation:
Epidemiology Research UnitTata Institute of Fundamental Research, Homi Bhabha Road, Bombay 400005, India
Pesi N Sinor
Affiliation:
Epidemiology Research UnitTata Institute of Fundamental Research, Homi Bhabha Road, Bombay 400005, India
Hemali Mehta
Affiliation:
Epidemiology Research UnitTata Institute of Fundamental Research, Homi Bhabha Road, Bombay 400005, India
Fali S Mehta
Affiliation:
Epidemiology Research UnitTata Institute of Fundamental Research, Homi Bhabha Road, Bombay 400005, India
*
*Corresponding author: Email [email protected]
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Abstract

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Objective:

To develop and test a quantitative, interviewer-administered food frequency questionnaire (FFQ) to ascertain nutrient intakes of individuals in northern India.

Design:

A 92-item FFQ was developed based on food use and market surveys of the study area. A validation study was conducted consisting of 24-h diet recalls (24HR) administered on 6 randomly selected days over 1 year. Two FFQs were administered, one each at the beginning and end of the 1-year period. FFQ and 24HR-derived nutrient scores were compared using correlation and regression analyses and by computing differences between nutrient intakes estimated by the two methods.

Setting:

Rural villages in Bhavnagar District, Gujarat, North India.

Subjects:

60 individuals who agreed to provide all necessary data.

Results:

Pearson (parametric) correlation coefficients averaged 0.69 in comparing nutrient scores derived from the 24HR with those from the first FFQ and 0.72 in comparing the second FFQ (P < 0.0001). Spearman correlation coefficients were virtually identical to the Pearson correlations, averaging 0.68 and 0.72, respectively. In regression analyses, most coefficients were close to 1.0 (perfect linear association). Nutrient scores were significantly and consistently higher on both FFQs relative to the 24HR.

Conclusions:

This FFQ produces results broadly comparable, and superior in some respects, to those commonly used in the West. Higher than average measures of association indicate its suitability for comparing exposures within this study population in reference to health-related endpoints.

Keywords

Human nutritionFood frequency questionnaireDietary assessment methodsGujarat, India
Type
Research Article
Information
Public Health Nutrition , Volume 2 , Issue 1 , January 1999 , pp. 39 - 50
Copyright
Copyright © CABI Publishing 1999

References

1Willett, WC. Nutritional Epidemiology. Oxford: Oxford University Press, 1990.Google Scholar
2Hebert, JR, Miller, DR. Methodologic considerations for investigating the diet–cancer link. Am. J. Clin. Nutr. 1988; 47: 1068–77.CrossRefGoogle ScholarPubMed
3Hebert, JR, Clemow, L, Pbert, L, Ockene, IS, Ockene, JK. Social desirability and approval biases in dietary self-report may profoundly compromise the validity of diet–disease studies. Int. J. Epidemiol. 1995; 24: 389–98.CrossRefGoogle Scholar
4Willett, WC, Sampson, L, Stampfer, MJ et al. Reproducibility and validity of a semiquantitative food frequency questionnaire. Am. J. Epidemiol. 1985; 122: 51–65.CrossRefGoogle ScholarPubMed
5Block, G, Woods, M, Potosky, A, Clifford, C. Validation of a self-administered diet history questionnaire using multiple diet records. J. Clin. Epidemiol. 1990; 43: 1327–35.CrossRefGoogle ScholarPubMed
6Sankaranarayanan, R, Varghese, C, Duffy, SW, Padmakumary, G, Day, NE, Nair, MK. A case–control study of diet and lung cancer in Kerala, south India. Int. J. Cancer 1994; 58: 644–9.CrossRefGoogle ScholarPubMed
7Nandakumar, A, Thimmasetty, KT, Sreeramareddy, NM et al. A population-based case–control investigation on cancers of the oral cavity in Bangalore, India. Br. J. Cancer 1990; 62: 847–51.CrossRefGoogle ScholarPubMed
8Notani, PN. Role of diet and alcohol in tobacco-related cancer at sites in the upper aerodigestive tract in an Indian population. In: Gupta, PC, Hamner, JE, Murti, PR, eds. Control of Tobacco-Related Cancers and Other Diseases: Proceedings of an International Symposium: 15–19 January 1990. Bombay, India: Oxford University Press, 1990: 149–55.Google Scholar
9Hebert, JR, Gupta, PC, Bhonsle, RB et al. Development and testing of a quantitative food frequency questionnaire for use in Kerala, India. Publ. Health Nutr. 1998; 1: 123–130.CrossRefGoogle ScholarPubMed
10Chadha, SL. Dietary profile of adults in an urban and a rural community. Indian J. Med. Res. 1995; 101: 258–67.Google Scholar
11Rao, B. Monitoring nutrient intakes in India. Indian J. Pediatr. 1987; 54: 495–501.Google ScholarPubMed
12National Institute of Nutrition. National Nutrition Monitoring Bureau Report of Repeat Surveys (1988–90). Indian Council of Medical Research. Hyderabad, India: NIN, 1991.Google Scholar
13Hebert, JR, Gupta, PCBhonsle, R, Verghese, F, Ebbeling, C, Barrow, R, Ellis, S, Ma, Y. Determinants of accuracy in estimating the weight and volume of commonly used foods: a cross-cultural comparison. Ecol. Food Nutr. 1999 (in press).Google Scholar
14Gupta, PC, Bhonsle, RB, Murti, PR, Daftary, DK, Mehta, FS, Pindborg, JJ. An epidemiologic assessment of cancer risk in oral precancerous lesions in India with special to nodular leukoplakia. Cancer 1989; 63: 2247–52.3.0.CO;2-D>CrossRefGoogle ScholarPubMed
15National Institute of Nutrition. Nutritive Value of Indian Foods. Hyderabad, India: NIN, 1993.Google Scholar
16Messer, E. Intra-household allocation of food and health care: current findings and understandings – introduction. Soc. Sci. Med. 1997; 44: 1675–84.CrossRefGoogle ScholarPubMed
17Hebert, JR. Relationship of vegetarianism to child growth in South India. Am. J. Clin. Nutr. 1985; 42: 1246–54.CrossRefGoogle ScholarPubMed
18Thimmayamma, B. A Handbook of Schedules and Guidelines in Socio-economic and Diet Surveys. Hyderabad, India: National Institute of Nutrition, 1987.Google Scholar
19Gibson, RSPrinciples of Nutritional Assessment. New York: Oxford University Press, 1990.Google Scholar
20Hebert, JR, Miller, DRBarone, J, Engle, A. Assessment of Change in Fat Intake in an Intervention Study. American Public Health Association – 119th Annual MeetingAtlanta, GAAPHA1991.Google Scholar
21Posner, BM, Martin-Munley, SS, Smigelski, C et al. Comparison of techniques for estimating nutrient intake: the Framingham Study. Epidemiology 1992; 3: 171–7.CrossRefGoogle ScholarPubMed
22Hebert, JR, Ockene, IS, Hurley, TG, Luippold, R, Well, AD, Harmatz, MG. Development and testing of a seven-day dietary recall. J. Clin. Epidemiol. 1997; 50: 925–37.CrossRefGoogle ScholarPubMed
23Rosner, B, Willett, WC. Interval estimates for correlation coefficients corrected for within-person variation: implications for study design and hypothesis testing. Am. J. Epidemiol. 1988; 127: 377–86.CrossRefGoogle ScholarPubMed
24Salvini, S, Hunter, DJ, Sampson, L et al. Food-based validation of a dietary questionnaire: the effects of week-to-week variation in food consumption. Int. J. Epidemiol. 1989; 18: 858–67.CrossRefGoogle ScholarPubMed
25Bland, JM, Altman, DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986; i: 307–10.CrossRefGoogle Scholar
26National Institute of Nutrition.National Nutrition Monitoring Bureau Report (1991–1992). Hyderabad, India: National Institute of Nutrition, 1993.Google Scholar
27Jobe, JB, Mingay, DJ. Cognitive research improves questionnaires. Am. J. Publ. Health 1989; 79: 1053–5.CrossRefGoogle ScholarPubMed
28Dwyer, JT, Gardner, J, Halvorsen, K, Krall, EA, Cohen, A, Valadian, I. Memory of food intake in the distant past. Am. J. Epidemiol. 1989; 130: 1033–46.CrossRefGoogle ScholarPubMed
29Smith, AF. Cognitive psychological issues of relevance to the validity of dietary reports. Eur. J. Clin. Nutr. 1993; 47(suppl. 2): S6–S18.Google Scholar
30Dwyer, JT, Coleman, KA. Insights into dietary recall from a longitudinal study: accuracy over four decades. Am. J. Clin. Nutr. 1997; 65: 1153S–8S.CrossRefGoogle ScholarPubMed
31McDowell, M, Briefel, R, Alaimo, K et al. Energy and Macronutrient Intakes of Persons aged 2 Months and Over in the United States: Third National Health and Nutrition Examination Survey, Phase 1, 1988–1991. Vital and Health Statistics, Centers for Disease Control and Prevention, 1994; 1–24.Google Scholar
32Marlowe, D, Crowne, DP. Social desirability and responses to perceived situational demands. J. Consult. Clin. Psychol. 1961; 25: 109–15.CrossRefGoogle ScholarPubMed
33Larsen, KS, Martin, HJ, Giles, H. Anticipated social cost and interpersonal accommodation. Hum. Comm. Res. 1977; 3: 303–8.CrossRefGoogle Scholar
34Martin, HJ. A revised measure of approval motivation and its relationship to social desirability. J. Pers. Assess. 1984; 48: 508–16.CrossRefGoogle ScholarPubMed
35Shulman, A, Silverman, I. Social desirability and need approval: some paradoxical data and a conceptual re-evaluation. Br. J. Soc. Clin. Psychol. 1974; 13: 27–32.CrossRefGoogle Scholar
36Evans, RG. The relationship of the Marlowe–Crowne scale and its components to defensive preferences. J. Pers. Assess. 1979; 43: 406–10.CrossRefGoogle ScholarPubMed
37Hebert, JR, Ma, Y, Clemow, L et al. Gender differences in social desirability and social approval bias in dietary self report. Am. J. Epidemiol. 1997; 146: 1046–55.CrossRefGoogle ScholarPubMed