Literature DB >> 25964261

Comparison of Interviewer-Administered and Automated Self-Administered 24-Hour Dietary Recalls in 3 Diverse Integrated Health Systems.

Frances E Thompson, Sujata Dixit-Joshi, Nancy Potischman, Kevin W Dodd, Sharon I Kirkpatrick, Lawrence H Kushi, Gwen L Alexander, Laura A Coleman, Thea P Zimmerman, Maria E Sundaram, Heather A Clancy, Michelle Groesbeck, Deirdre Douglass, Stephanie M George, TusaRebecca E Schap, Amy F Subar.   

Abstract

Twenty-four-hour dietary recalls provide high-quality intake data but have been prohibitively expensive for large epidemiologic studies. This study's goal was to assess whether the web-based Automated Self-Administered 24-Hour Recall (ASA24) performs similarly enough to the standard interviewer-administered, Automated Multiple-Pass Method (AMPM) 24-hour dietary recall to be considered a viable alternative. In 2010-2011, 1,081 adults from 3 integrated health systems in Detroit, Michigan; Marshfield, Wisconsin; and Kaiser-Permanente Northern California participated in a field trial. A quota design ensured a diverse sample by sex, age, and race/ethnicity. Each participant was asked to complete 2 recalls and was randomly assigned to 1 of 4 protocols differing by type of recall and administration order. For energy, the mean intakes were 2,425 versus 2,374 kcal for men and 1,876 versus 1,906 kcal for women by AMPM and ASA24, respectively. Of 20 nutrients/food groups analyzed and controlling for false discovery rate, 87% were judged equivalent at the 20% bound. ASA24 was preferred over AMPM by 70% of the respondents. Attrition was lower in the ASA24/AMPM study group than in the AMPM/ASA24 group, and it was lower in the ASA24/ASA24 group than in the AMPM/AMPM group. ASA24 offers the potential to collect high-quality dietary intake information at low cost with less attrition. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health 2015. This work is written by (a) US Government employee(s) and is in the public domain in the US.

Entities:  

Keywords:  comparative study; diet survey; experimental design; nutritional assessment; population

Mesh:

Year:  2015        PMID: 25964261      PMCID: PMC4462333          DOI: 10.1093/aje/kwu467

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  10 in total

1.  Taking advantage of the strengths of 2 different dietary assessment instruments to improve intake estimates for nutritional epidemiology.

Authors:  Raymond J Carroll; Douglas Midthune; Amy F Subar; Marina Shumakovich; Laurence S Freedman; Frances E Thompson; Victor Kipnis
Journal:  Am J Epidemiol       Date:  2012-01-24       Impact factor: 4.897

2.  Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for energy and protein intake.

Authors:  Laurence S Freedman; John M Commins; James E Moler; Lenore Arab; David J Baer; Victor Kipnis; Douglas Midthune; Alanna J Moshfegh; Marian L Neuhouser; Ross L Prentice; Arthur Schatzkin; Donna Spiegelman; Amy F Subar; Lesley F Tinker; Walter Willett
Journal:  Am J Epidemiol       Date:  2014-06-10       Impact factor: 4.897

3.  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

4.  Evaluation and comparison of food records, recalls, and frequencies for energy and protein assessment by using recovery biomarkers.

Authors:  Ross L Prentice; Yasmin Mossavar-Rahmani; Ying Huang; Linda Van Horn; Shirley A A Beresford; Bette Caan; Lesley Tinker; Dale Schoeller; Sheila Bingham; Charles B Eaton; Cynthia Thomson; Karen C Johnson; Judy Ockene; Gloria Sarto; Gerardo Heiss; Marian L Neuhouser
Journal:  Am J Epidemiol       Date:  2011-07-15       Impact factor: 4.897

5.  The Automated Self-Administered 24-hour dietary recall (ASA24): a resource for researchers, clinicians, and educators from the National Cancer Institute.

Authors:  Amy F Subar; Sharon I Kirkpatrick; Beth Mittl; Thea Palmer Zimmerman; Frances E Thompson; Christopher Bingley; Gordon Willis; Noemi G Islam; Tom Baranowski; Suzanne McNutt; Nancy Potischman
Journal:  J Acad Nutr Diet       Date:  2012-06-15       Impact factor: 4.910

6.  Sources of variance in 24-hour dietary recall data: implications for nutrition study design and interpretation.

Authors:  G H Beaton; J Milner; P Corey; V McGuire; M Cousins; E Stewart; M de Ramos; D Hewitt; P V Grambsch; N Kassim; J A Little
Journal:  Am J Clin Nutr       Date:  1979-12       Impact factor: 7.045

7.  Performance of the Automated Self-Administered 24-hour Recall relative to a measure of true intakes and to an interviewer-administered 24-h recall.

Authors:  Sharon I Kirkpatrick; Amy F Subar; Deirdre Douglass; Thea P Zimmerman; Frances E Thompson; Lisa L Kahle; Stephanie M George; Kevin W Dodd; Nancy Potischman
Journal:  Am J Clin Nutr       Date:  2014-04-30       Impact factor: 7.045

8.  Effectiveness of the US Department of Agriculture 5-step multiple-pass method in assessing food intake in obese and nonobese women.

Authors:  Joan M Conway; Linda A Ingwersen; Bryan T Vinyard; Alanna J Moshfegh
Journal:  Am J Clin Nutr       Date:  2003-05       Impact factor: 7.045

9.  A comparison of a food frequency questionnaire with a 24-hour recall for use in an epidemiological cohort study: results from the biomarker-based Observing Protein and Energy Nutrition (OPEN) study.

Authors:  Arthur Schatzkin; Victor Kipnis; Raymond J Carroll; Douglas Midthune; Amy F Subar; Sheila Bingham; Dale A Schoeller; Richard P Troiano; Laurence S Freedman
Journal:  Int J Epidemiol       Date:  2003-12       Impact factor: 7.196

10.  The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes.

Authors:  Alanna J Moshfegh; Donna G Rhodes; David J Baer; Theophile Murayi; John C Clemens; William V Rumpler; David R Paul; Rhonda S Sebastian; Kevin J Kuczynski; Linda A Ingwersen; Robert C Staples; Linda E Cleveland
Journal:  Am J Clin Nutr       Date:  2008-08       Impact factor: 7.045

  10 in total
  76 in total

1.  Addressing Current Criticism Regarding the Value of Self-Report Dietary Data.

Authors:  Amy F Subar; Laurence S Freedman; Janet A Tooze; Sharon I Kirkpatrick; Carol Boushey; Marian L Neuhouser; Frances E Thompson; Nancy Potischman; Patricia M Guenther; Valerie Tarasuk; Jill Reedy; Susan M Krebs-Smith
Journal:  J Nutr       Date:  2015-10-14       Impact factor: 4.798

2.  Diet Quality and Associations with Food Security among Women Eligible for Indiana Supplemental Nutrition Assistance Program-Education.

Authors:  Rebecca L Rivera; Yumin Zhang; Qi Wang; Melissa K Maulding; Janet A Tooze; Breanne N Wright; Bruce A Craig; Regan L Bailey; Heather A Eicher-Miller
Journal:  J Nutr       Date:  2020-08-01       Impact factor: 4.798

Review 3.  Opportunities and Challenges for Environmental Exposure Assessment in Population-Based Studies.

Authors:  Chirag J Patel; Jacqueline Kerr; Duncan C Thomas; Bhramar Mukherjee; Beate Ritz; Nilanjan Chatterjee; Marta Jankowska; Juliette Madan; Margaret R Karagas; Kimberly A McAllister; Leah E Mechanic; M Daniele Fallin; Christine Ladd-Acosta; Ian A Blair; Susan L Teitelbaum; Christopher I Amos
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-07-14       Impact factor: 4.254

4.  Healthy Immigrant Families: Randomized Controlled Trial of a Family-Based Nutrition and Physical Activity Intervention.

Authors:  Mark L Wieland; Marcelo M M Hanza; Jennifer A Weis; Sonja J Meiers; Christi A Patten; Matthew M Clark; Jeff A Sloan; Paul J Novotny; Jane W Njeru; Adeline Abbenyi; James A Levine; Miriam Goodson; Graciela D Porraz Capetillo; Ahmed Osman; Abdullah Hared; Julie A Nigon; Irene G Sia
Journal:  Am J Health Promot       Date:  2017-11-29

Review 5.  The Importance and Challenges of Dietary Intervention Trials for Inflammatory Bowel Disease.

Authors:  James D Lewis; Lindsey Albenberg; Dale Lee; Mario Kratz; Klaus Gottlieb; Walter Reinisch
Journal:  Inflamm Bowel Dis       Date:  2017-02       Impact factor: 5.325

6.  Diet quality of US adolescents during the transition to adulthood: changes and predictors.

Authors:  Leah M Lipsky; Tonja R Nansel; Denise L Haynie; Danping Liu; Kaigang Li; Charlotte A Pratt; Ronald J Iannotti; Katherine W Dempster; Bruce Simons-Morton
Journal:  Am J Clin Nutr       Date:  2017-04-26       Impact factor: 7.045

7.  Comparison of Dietary Intakes Between a Large Online Cohort Study (Etude NutriNet-Santé) and a Nationally Representative Cross-Sectional Study (Etude Nationale Nutrition Santé) in France: Addressing the Issue of Generalizability in E-Epidemiology.

Authors:  Valentina A Andreeva; Valérie Deschamps; Benoît Salanave; Katia Castetbon; Charlotte Verdot; Emmanuelle Kesse-Guyot; Serge Hercberg
Journal:  Am J Epidemiol       Date:  2016-10-15       Impact factor: 4.897

8.  Rationale and study design of the MyHEART study: A young adult hypertension self-management randomized controlled trial.

Authors:  Heather M Johnson; Lisa Sullivan-Vedder; KyungMann Kim; Patrick E McBride; Maureen A Smith; Jamie N LaMantia; Jennifer T Fink; Megan R Knutson Sinaise; Laura M Zeller; Diane R Lauver
Journal:  Contemp Clin Trials       Date:  2019-01-21       Impact factor: 2.226

9.  Does where you shop or who you are predict what you eat?: The role of stores and individual characteristics in dietary intake.

Authors:  Christine A Vaughan; Rebecca Collins; Madhumita Ghosh-Dastidar; Robin Beckman; Tamara Dubowitz
Journal:  Prev Med       Date:  2017-03-22       Impact factor: 4.018

10.  A dietary assessment tool to estimate arsenic and cadmium exposures from locally grown foods.

Authors:  Iliana Manjón; Mónica Ramírez-Andreotta
Journal:  Environ Geochem Health       Date:  2019-12-16       Impact factor: 4.609

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.