Development of Web-based System for a Cohort Study - The Brazilian e-NutriHS

Luciana D. Folchetti, Isis Tande da Silva, Bianca de Almeida Pititto, Sandra R. G. Ferreira

2015

Abstract

This study describes a web-based system developed to gather online information on health of college students and graduates in nutrition, the e-NutriHS. The Nutrititionist Health Study – NutriHS is planned to be a cohort study aiming to collect health-related data at a 3-year interval. The e-NutriHS consists of 6 questionnaires regarding demographic and socioeconomic data, dietary habits, physical activity, alcohol and tobacco uses, anti-fat attitudes and personal and family histories. Validated and internationally recognized lifestyle instruments were used. Our software and respective database are hosted in the School of Public Health server; the software is based on free programming languages. e-NutriHS data obtained from questionnaires can be transferred to excel format. An e-NutriHS prototype was created preceding online attachment. An improved version of website was released based on 20 volunteers’ opinions. 503 users were already registered. Our initiative of building a website designed for collecting data for epidemiological studies, tailored to our local reality, is innovative under the perspective of the health informatics available in the developing world. Considering that web-based systems produce reliable data, are easy to use, less costly and less time-consuming, we conclude that our experience deserves to be shared, particularly with middleincome economy countries.

References

  1. Adams, J. & White, M. (2008) Health behaviours in people who respond to a web-based survey advertised on regional news media. European Journal of Public Health. 18 (3). p. 335-338.
  2. Azevedo e Silva, G., Valente, J. G. & Malta, D. C. (2011) [Tendências do tabagismo na população adulta das capitais brasileiras: uma análise dos dados de inquéritos telefônicos de 2006 a 2009] Revista Brasileira de Epidemiologia. 14 (1). p.103-114.
  3. Best, S. J. et al. (2001) An assessment of the generalizability of Internet surveys. Social Science Computer Review. 19. p.131-45.
  4. Cade, J. E. et al. (2004) Food-frequency questionnaires: a review of their design, validation and utilisation. Nutrition Research Reviews. 17 (1). p. 5-22.
  5. Colditz, G. A. & Hankinson, S. E. (2005) The Nurses' Health Study: lifestyle and health among women. Nature Reviews Cancer. 5. p. 388-96.
  6. Couper, M. P. (2000) Web surveys - A review of issues and approaches. Public Opinion Quarterly. 64. p. 464- 494.
  7. Craig, C. L. et al. (2003) International Physical Activity Questionnaire: 12-country reliability and validity. Medicine & Science in Sports & Exercise. 35 (8). p. 1381-95.
  8. Dillman, D. A. (2007) Mail and Internet Surveys: The Tailored Design Method. 2nd ed. Hoboken, NJ: John Wiley & Sons, Inc.
  9. Ekman, A. et al. (2006) Feasibility of using web-based questionnaires in large population-based epidemiological studies. European Journal of Public Health.21. p. 103-11.
  10. Fisberg, R.M, et al. (2008) [Questionário de freqüência alimentar para adultos com base em estudo populacional]. Revista de Saúde Pública, 42. p. 550- 554.
  11. Hewson, C. M., Laurent, D. & Vogel, C. M. (1996) Proper methodologies for psychological and sociological studies conducted via the Internet. Behaviour Research Methods, Instruments, & Computers. 28. p. 186-91.
  12. Hu, F. B. et al. (1997) Dietary fat intake and the risk of coronary heart disease in women. New England Journal of Medicine. 337. p. 1491-9.
  13. Krantz, J. H., Ballard, J. & Scher, J. (1997) Comparing the results of laboratory and World Wide Web samples of the determinants of female attractiveness. Behaviour Research Methods, Instruments, & Computers. 29. p. 264-9.
  14. Lewis, R. J. et al. (1997) Prejudice toward fat people: the development and validation of the antifat attitudes test. Obesity Research. 5 (4). p. 297-307.
  15. Mikkelsen, E. M. et al. (2009) Cohort profile: the Danish Web-based Pregnancy Planning Study-'Snart-Gravid'. International Journal of Epidemiology. 38 (4). p. 938- 943.
  16. Rankin, K. M. et al. (2008) Comparing the reliability of responses to telephone-administered versus selfadministered web-based surveys in a case-control study of adult malignant brain cancer. Cancer Epidemiology, Biomarkers & Prevention. 17 (10). p. 2639-2646.
  17. Rodriguez, H. P. et al. (2006) Evaluating patients' experiences with individual physicians: a randomized trial of mail, Internet, and interactive voice response telephone administration of surveys. Medical Care. 44 (2). p. 167-174.
  18. Schaefer, D. R. & Dillman, D. A. (1998) Development of standard e-mail methodology: results of an experiment. Public Opinion Quarterly. 62. p. 378-97.
  19. Schleyer, T. K. & Forrest, J. L. (2000) Methods for the design and administration of web-based surveys. Journal of the American Medical Informatics Association. 7 (4). p. 416-425.
  20. Schmidt, W. C. (1997) World-Wide Web survey research: benefits, potential problems, and solutions. Behaviour Research Methods, Instruments, & Computers. 29. p.274-9.
  21. Shettle, C. & Mooney, G. (1999) Monetary incentives in U.S. government surveys. Journal of Official Statistics. 15. p. 231-50.
  22. Smith, B. et al. (2007) When epidemiology meets the Internet: Web-based surveys in the Millennium Cohort Study. American Journal of Epidemiology. 166 (11). p. 1345-1354.
  23. Touvier, M. et al. (2010) Comparison between web-based and paper versions of a self-administered anthropometric questionnaire. European Journal of Epidemiology. 25 (5). p. 287-296.
  24. Turner, C. et al. (2009) Cohort profile: the Nurses and Midwives e-Cohort Study - a novel electronic longitudinal study. International Journal of Epidemiology. 38 (1). p. 53-60.
  25. van Gelder, M. M., Bretveld, R. W. & Roeleveld, N. (2010) Web-based questionnaires: the future in epidemiology? American Journal of Epidemiology. 172 (11). p. 1292-8.
  26. Wilson, K. M. et al. (2012) Dietary acrylamide and risk of prostate cancer. International Journal of Cancer. 131 (2). p. 479-87.
  27. Wyatt, J. C. (2000) When to use web-based surveys. Journal of the American Medical Informatic Association. 7 (4). p. 426-429.
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Paper Citation


in Harvard Style

D. Folchetti L., Tande da Silva I., de Almeida Pititto B. and R. G. Ferreira S. (2015). Development of Web-based System for a Cohort Study - The Brazilian e-NutriHS . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015) ISBN 978-989-758-068-0, pages 574-579. DOI: 10.5220/0005277805740579


in Bibtex Style

@conference{healthinf15,
author={Luciana D. Folchetti and Isis Tande da Silva and Bianca de Almeida Pititto and Sandra R. G. Ferreira},
title={Development of Web-based System for a Cohort Study - The Brazilian e-NutriHS},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015)},
year={2015},
pages={574-579},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005277805740579},
isbn={978-989-758-068-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015)
TI - Development of Web-based System for a Cohort Study - The Brazilian e-NutriHS
SN - 978-989-758-068-0
AU - D. Folchetti L.
AU - Tande da Silva I.
AU - de Almeida Pititto B.
AU - R. G. Ferreira S.
PY - 2015
SP - 574
EP - 579
DO - 10.5220/0005277805740579