Literature DB >> 19336550

Observational epidemiologic studies of nutrition and cancer: the next generation (with better observation).

Arthur Schatzkin1, Amy F Subar, Steven Moore, Yikyung Park, Nancy Potischman, Frances E Thompson, Michael Leitzmann, Albert Hollenbeck, Kerry Grace Morrissey, Victor Kipnis.   

Abstract

It would be of enormous public health importance if diet and physical activity, both modifiable behavioral factors, were causally related to cancer. Nevertheless, the nutritional epidemiology of cancer remains problematic, in part because of persistent concerns that standard questionnaires measure diet and physical activity with too much error. We present a new strategy for addressing this measurement error problem. First, as background, we note that food frequency and physical activity questionnaires require respondents to report "typical" diet or activity over the previous year or longer. Multiple 24-hour recalls (24HR), based on reporting only the previous day's behavior, offer potential cognitive advantages over the questionnaires, and biomarker evidence suggests the 24-hour dietary recall is more accurate than the food frequency questionnaire. The expense involved in administering multiple 24 HRs in large epidemiologic studies, however, has up to now been prohibitive. In that context, we suggest that Internet-based 24 HRs, for both diet and physical activity, represent a practical and cost-effective approach for incorporating multiple recalls in large epidemiologic studies. We discuss (1) recent efforts to develop such Internet-based instruments and their accompanying software support systems; (2) ongoing studies to evaluate the feasibility of using these new instruments in cohort studies; (3) additional investigations to gauge the accuracy of the Internet-based recalls vis-à-vis standard instruments and biomarkers; and (4) new statistical approaches for combining the new instruments with standard assessment tools and biomarkers The incorporation of Internet-based 24 HRs into large epidemiologic studies may help advance our understanding of the nutritional determinants of cancer.

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Year:  2009        PMID: 19336550      PMCID: PMC2688809          DOI: 10.1158/1055-9965.EPI-08-1129

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  30 in total

1.  Comparing physical activity assessment methods in the Seasonal Variation of Blood Cholesterol Study.

Authors:  C E Matthews; P S Freedson; J R Hebert; E J Stanek; P A Merriam; I S Ockene
Journal:  Med Sci Sports Exerc       Date:  2000-05       Impact factor: 5.411

Review 2.  Uses and limitations of statistical accounting for random error correlations, in the validation of dietary questionnaire assessments.

Authors:  Rudolf Kaaks; Pietro Ferrari; Antonio Ciampi; Martyn Plummer; Elio Riboli
Journal:  Public Health Nutr       Date:  2002-12       Impact factor: 4.022

3.  Structure of dietary measurement error: results of the OPEN biomarker study.

Authors:  Victor Kipnis; Amy F Subar; Douglas Midthune; Laurence S Freedman; Rachel Ballard-Barbash; Richard P Troiano; Sheila Bingham; Dale A Schoeller; Arthur Schatzkin; Raymond J Carroll
Journal:  Am J Epidemiol       Date:  2003-07-01       Impact factor: 4.897

4.  Design and serendipity in establishing a large cohort with wide dietary intake distributions : the National Institutes of Health-American Association of Retired Persons Diet and Health Study.

Authors:  A Schatzkin; A F Subar; F E Thompson; L C Harlan; J Tangrea; A R Hollenbeck; P E Hurwitz; L Coyle; N Schussler; D S Michaud; L S Freedman; C C Brown; D Midthune; V Kipnis
Journal:  Am J Epidemiol       Date:  2001-12-15       Impact factor: 4.897

5.  Rapid increase in colorectal cancer rates in urban Shanghai, 1972-97, in relation to dietary changes.

Authors:  Wei-Cheng You; Fan Jin; Susan Devesa; Gloria Gridley; Arthur Schatzkin; Gong Yang; Philip Rosenberg; Yong-Bing Xiang; Yan-Ren Hu; Qi Li
Journal:  J Cancer Epidemiol Prev       Date:  2002

6.  Comparison of energy expenditure estimates from doubly labeled water, a physical activity questionnaire, and physical activity records.

Authors:  Joan M Conway; James L Seale; David R Jacobs; Melinda L Irwin; Barbara E Ainsworth
Journal:  Am J Clin Nutr       Date:  2002-03       Impact factor: 7.045

7.  Use of recovery biomarkers to calibrate nutrient consumption self-reports in the Women's Health Initiative.

Authors:  Marian L Neuhouser; Lesley Tinker; Pamela A Shaw; Dale Schoeller; Sheila A Bingham; Linda Van Horn; Shirley A A Beresford; Bette Caan; Cynthia Thomson; Suzanne Satterfield; Lew Kuller; Gerardo Heiss; Ellen Smit; Gloria Sarto; Judith Ockene; Marcia L Stefanick; Annlouise Assaf; Shirley Runswick; Ross L Prentice
Journal:  Am J Epidemiol       Date:  2008-03-15       Impact factor: 4.897

8.  Defining dietary consumption: is the sum greater than its parts?

Authors:  Martha L Slattery
Journal:  Am J Clin Nutr       Date:  2008-07       Impact factor: 7.045

9.  Modeling data with excess zeros and measurement error: application to evaluating relationships between episodically consumed foods and health outcomes.

Authors:  Victor Kipnis; Douglas Midthune; Dennis W Buckman; Kevin W Dodd; Patricia M Guenther; Susan M Krebs-Smith; Amy F Subar; Janet A Tooze; Raymond J Carroll; Laurence S Freedman
Journal:  Biometrics       Date:  2009-12       Impact factor: 2.571

Review 10.  Mendelian randomization: how it can--and cannot--help confirm causal relations between nutrition and cancer.

Authors:  Arthur Schatzkin; Christian C Abnet; Amanda J Cross; Marc Gunter; Ruth Pfeiffer; Mitchell Gail; Unhee Lim; George Davey-Smith
Journal:  Cancer Prev Res (Phila)       Date:  2009-01-27
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  51 in total

1.  Amount of time spent in sedentary behaviors and cause-specific mortality in US adults.

Authors:  Charles E Matthews; Stephanie M George; Steven C Moore; Heather R Bowles; Aaron Blair; Yikyung Park; Richard P Troiano; Albert Hollenbeck; Arthur Schatzkin
Journal:  Am J Clin Nutr       Date:  2012-01-04       Impact factor: 7.045

2.  Genotype-based association mapping of complex diseases: gene-environment interactions with multiple genetic markers and measurement error in environmental exposures.

Authors:  Iryna Lobach; Ruzong Fan; Raymond J Carroll
Journal:  Genet Epidemiol       Date:  2010-12       Impact factor: 2.135

3.  Validation of the Godin-Shephard Leisure-Time Physical Activity Questionnaire classification coding system using accelerometer assessment among breast cancer survivors.

Authors:  Steve Amireault; Gaston Godin; Jason Lacombe; Catherine M Sabiston
Journal:  J Cancer Surviv       Date:  2015-02-10       Impact factor: 4.442

4.  Development and evaluation of a short 24-h food list as part of a blended dietary assessment strategy in large-scale cohort studies.

Authors:  J Freese; S Feller; U Harttig; C Kleiser; J Linseisen; B Fischer; M F Leitzmann; J Six-Merker; K B Michels; K Nimptsch; A Steinbrecher; T Pischon; T Heuer; I Hoffmann; G Jacobs; H Boeing; U Nöthlings
Journal:  Eur J Clin Nutr       Date:  2014-01-08       Impact factor: 4.016

5.  The Mediterranean Diet, the OGG1 Gene, and Disease Risk: Early Evidence.

Authors:  Nancy J Emenaker; Ashley J Vargas
Journal:  J Acad Nutr Diet       Date:  2018-01-02       Impact factor: 4.910

6.  Agreement between web-based and paper versions of a socio-demographic questionnaire in the NutriNet-Santé study.

Authors:  Anne-Claire Vergnaud; Mathilde Touvier; Caroline Méjean; Emmanuelle Kesse-Guyot; Clothilde Pollet; Aurélie Malon; Katia Castetbon; Serge Hercberg
Journal:  Int J Public Health       Date:  2011-05-03       Impact factor: 3.380

7.  Comparison between web-based and paper versions of a self-administered anthropometric questionnaire.

Authors:  Mathilde Touvier; Caroline Méjean; Emmanuelle Kesse-Guyot; Clothilde Pollet; Aurélie Malon; Katia Castetbon; Serge Hercberg
Journal:  Eur J Epidemiol       Date:  2010-02-27       Impact factor: 8.082

8.  Dietary inflammation factor rating system and risk of Alzheimer disease in elders.

Authors:  Yian Gu; Jeri W Nieves; Jose A Luchsinger; Nikolaos Scarmeas
Journal:  Alzheimer Dis Assoc Disord       Date:  2011 Apr-Jun       Impact factor: 2.703

9.  Assessment of response consistency and respective participant profiles in the Internet-based NutriNet-Santé Cohort.

Authors:  Valentina A Andreeva; Pilar Galan; Chantal Julia; Katia Castetbon; Emmanuelle Kesse-Guyot; Serge Hercberg
Journal:  Am J Epidemiol       Date:  2014-02-11       Impact factor: 4.897

Review 10.  Diet, nutrition, and cancer: past, present and future.

Authors:  Susan T Mayne; Mary C Playdon; Cheryl L Rock
Journal:  Nat Rev Clin Oncol       Date:  2016-03-08       Impact factor: 66.675

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