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Computerization of a dietary history interview in a running cohort; evaluation within the Amsterdam Growth and Health Longitudinal Study

Abstract

Objective: In nutritional research, a growing interest in the use of computer-assisted cross-check dietary history interview methods exists in order to improve cost-effectiveness. The introduction of such a method in an ongoing longitudinal study was evaluated with special emphasis on the effect on interviewer bias.

Design: A study for the interviewer bias within and the agreement between a previously used paper-based face-to-face cross-check dietary history interview method and a newly developed interviewer-administered computer-assisted version of this interview method.

Subjects: The interviewer bias of 436 face-to-face interviews is compared with that of 352 computer-assisted interviews. A subset of 82 subjects underwent a face-to-face interview at the mean age of 27 and 32 y and a computer-assisted interview at their mean age of 36 y. Energy, three macronutrients (protein, fat and carbohydrate), two micronutrients (calcium and iron) and alcohol intakes obtained by these three measurements are compared to analyse the agreement between the two interview methods.

Results: ANOVA showed no interviewer bias for all seven analysed nutrients within the data from the computer-assisted interview, while for the face-to-face interview method, several nutrients varied significantly among the interviewers. Five different measures, used to analyse the agreement (differences, Pearson's correlation, ICC, square weighted kappa and Bland–Altman plots), showed no relevant differences between the two cross-check dietary history interview methods.

Conclusions: It is concluded that the computer-assisted interview caused a reduction of interviewer bias and is of similar quality to the face-to-face interview method. Computerization of a paper-based interview can be implemented in a running cohort if a change in method is unavoidable.

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References

  • Altman, DG (ed.) (1991). Some common problems in medical research. In:Practical Statistics for Medical Research, pp403–409, London: Chapman & Hall/CRC

    Google Scholar 

  • Beal, VA (1967). The nutritional history in longitudinal research. J. Am. Diet. Assoc., 51, 426–432.

    CAS  PubMed  Google Scholar 

  • Beemster, CJM, Hulshof, KFAM, Breedveld, BC & Westenbrink, S (2000). Creation of a database for the calculation of nutrient intake over time. J. Food Compos. Anal., 13, 411–417.

    Article  CAS  Google Scholar 

  • Bland, JM & Altman, DG (1986). Statistical methods for assessing agreement between two methods of clinical measurement. Lancet, i, 307–310.

    Article  Google Scholar 

  • Burke, BS (1947). The diet history as a tool in research. J. Am. Diet. Assoc., 23, 1041–1046.

    Google Scholar 

  • Buzzard, IM & Sievert, YA (1994). Research priorities and recommendations for dietary assessment methodology. Am. J. Clin. Nutr., 59, (Suppl. 1) 275S–280S.

    Article  CAS  Google Scholar 

  • Delcourt, C, Cubeau, J, Balkau, B & Papoz, L & the CODIAB-ISERM-ZENECA Pharma Study Group (1994). Limitations of the correlation coefficient in the validation of diet assessment methods. Epidemiology, 5, 518–524.

    CAS  Google Scholar 

  • Feskanich, D, Buzzard, IM, Welch, BT, Asp, EH, Dieleman, LS, Chong, KR & Bartsch, GE (1988). Comparison of a computerized and a manual method of food coding for nutrient intake studies. J. Am. Diet. Assoc., 88, (10)1263–1267.

    CAS  PubMed  Google Scholar 

  • Fox, TA, Heimendinger, J & Block, G (1992). Telepone surveys as a method for obtaining dietary information: a review. J. Am. Diet. Assoc., 92, (6)729–732.

    CAS  PubMed  Google Scholar 

  • Haraldsdottir, J, Holm, L, Astrup, AV, Jalkjaer, J & Stender, S (2001). Monitoring of dietary changes by telephone interviews: results from Denmark. Public Health Nutr., 4, (6)1287–1295.

    Article  CAS  Google Scholar 

  • Holt, S, Guram, M, Smith, M & Skinner, HA (1992). Computer assessment of life-style in a gastroenterology clinic. Dig. Dis. Sci., 37, (7)993–996.

    Article  CAS  Google Scholar 

  • Hunt, RJ (1986). Percent agreement, Pearson's correlation, and kappa as measures of inter-examiner reliability. J. Dent. Res., 65, (2)128–130.

    Article  CAS  Google Scholar 

  • Jones, B, Jarvis, P, Lewis, JA & Ebbutt, AF (1996). Trials to assess equivalence: importance of rigorous methods. Br. Med. J., 313, 36–39.

    Article  CAS  Google Scholar 

  • Jonnalagadda, SS, Mitchell, DC, Smiciklas-Wright, H, Meaker, KB, Van Heel, N, Karmally, W, Ershow, AG & Kris-Etherton, PM (2000). Accuracy of energy intake data estimated by a multiple-pass, 24-hour dietary recall technique. J. Am. Diet. Assoc., 100, (3)303–308.

    Article  CAS  Google Scholar 

  • Kemper, HCG (ed.) (1985). Growth, health and fitness of teenagers: longitudinal research in international perspective. In:Medicine and Sport Science Series, no. 20 Basel: Karger

    Google Scholar 

  • Kemper, HCG (ed.) (1995). The Amsterdam Growth Study: a Longitudinal Analysis of Health, Fitness and Lifestyle, HKP Sport Science Monograph Series no. 6 Champaign, IL: Human Kinetics

    Google Scholar 

  • Kemper, HCG & van Mechelen, W (1995). Methods and measurements used in the longitudinal study. InThe Amsterdam Growth Study: A Longitudinal Analysis of Health, Fitness and Lifestyle, HKP Sport Science Monograph Series no. 6, p39 Champaign, IL: Human Kinetics

    Google Scholar 

  • Marr, JW (1971). Individual dietary surveys: purpose and methods. Wld. Rev. Nutr. Diet., 13, 105–164.

    Article  CAS  Google Scholar 

  • Mensink, GBM, Hermann-Kunz, E & Thamm, M (1998). Der Ernährungssurvey. Gesundheitswesen, 60, (Sonderheft 2) S83–S86, (in German)

    PubMed  Google Scholar 

  • Mensink, GBM, Haftenberger, M & Thamm, M (2001). Validity of DISHES 98, a computerised dietary history interview: energy and macronutrient intake. Eur. J. Clin. Nutr., 55, (6)409–417.

    Article  CAS  Google Scholar 

  • Nelson, M & Bingham, SA (1997). Assessment of food consumption and nutrient intake. In:Design Concepts in Nutritonal Epidemiology, ed. BM Margetts & M Nelson, pp123–169, Oxford: Oxford University Press

    Chapter  Google Scholar 

  • Post, GB (1989). Nutrition in adolescence: a longitudinal study in dietary pattern from teenager to adult. Thesis, Agricultural University Wageningen, The Netherlands: De Vrieseborch

  • Post, GB, de Vente, W, Kemper, HCG & Twisk, JWR (2001). Longitudinal trends in and tracking of energy and nutrient intake over 20 years in a Dutch cohort of men and women between 13 and 33 years of age: The Amsterdam growth and health longitudinal study. Br. J. Nutr., 85, (3)375–385.

    Article  CAS  Google Scholar 

  • Rankin, G & Stokes, M (1998). Reliability of assessment tools in rehabilitation: an illustration of appropriate statistical analyses. Clin. Rehab., 12, 187–199.

    Article  CAS  Google Scholar 

  • Shrout, PE & Fleiss, JL (1979). Intraclass correlations: uses in assessing rater reliability. Psych. Bull., 86, (2)420–428.

    Article  CAS  Google Scholar 

  • Slattery, ML, Caan, BJ, Duncan, D, Berry, TD, Coates, A & Kerber, R (1994). A computerized diet history questionnaire for epidemiologic studies. J. Am. Diet. Assoc., 94, (7)761–766.

    Article  CAS  Google Scholar 

  • Slimani, N, Deharveng, G, Charrondière, RU, van Kappel, AL, Ocké, MC, Welch, A, Lagiou, A, van Liere, M, Agudo, A, Pala, V, Brandstetter, B, Andren, C, Stripp, C, van Staveren, WA & Riboli, E (1999). Structure of the standardized computerized 24-h diet recall interview used as reference method in the 22 centres participation in the EPIC project. Comput. Meth. Prog. Biomed., 58, 251–266.

    Article  CAS  Google Scholar 

  • Stichting Nederlandse Voedingsstoffenbestand (1996). Nevo Tabel 1996 (Dutch Food Composition Table 1996), Den Haag: Voorlichtingsbureau voor de Voeding

  • Wolfe, DA (1976). On testing equality of related correlation coefficients. Biometrika, 63, 214–215.

    Article  Google Scholar 

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Acknowledgements

We thank Bertheke Post (GBP), Desiree Welten (DW), Karin Groothuis (KG) and Thelma Vreden (TV) for their interviewing. Furthermore we would like to thank all the participants of the AGAHLS. This study was granted bythe Dairy Foundation on Nutrition and Health, the Dutch Heart Foundation (grant 76051-79051), the Dutch Prevention Fund (grants 28-189a, 28-1106 and 28-1106-1), the Dutch Ministry of Well Being and Public Health (grant 90-170), the Dutch Olympic Committe/Netherlands Sports Federation, Heineken Inc., and the Scientific Board of Smoking and Health.

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Authors

Contributions

Guarantor: HCG Kemper

Contributors: IB was responsible for data collection, data analysis and co-writing the manuscript; JWRT was responsible for data analysis and co-writing the manuscript; WvM, GBMM and HCGK co-wrote the manuscript.

Corresponding author

Correspondence to H C G Kemper.

Appendix

Appendix

Four by four tables for comparing quartiles of mean intakes of nutrients within the FTF method (FTF-27 vs FTF-32) and between the methods (FTF-32 vs DD-36), for the square weighted Cohen's kappas, shown in Table 6.

See Table 7, Table 8

Within-method Within-method
Between-methods Between-methods

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Bakker, I., Twisk, J., van Mechelen, W. et al. Computerization of a dietary history interview in a running cohort; evaluation within the Amsterdam Growth and Health Longitudinal Study. Eur J Clin Nutr 57, 394–404 (2003). https://doi.org/10.1038/sj.ejcn.1601566

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