Literature DB >> 22933652

Review and evaluation of innovative technologies for measuring diet in nutritional epidemiology.

A-K Illner1, H Freisling, H Boeing, I Huybrechts, S P Crispim, N Slimani.   

Abstract

INTRODUCTION: The use of innovative technologies is deemed to improve dietary assessment in various research settings. However, their relative merits in nutritional epidemiological studies, which require accurate quantitative estimates of the usual intake at individual level, still need to be evaluated.
OBJECTIVE: To report on the inventory of available innovative technologies for dietary assessment and to critically evaluate their strengths and weaknesses as compared with the conventional methodologies (i.e. Food Frequency Questionnaires, food records, 24-hour dietary recalls) used in epidemiological studies.
METHODS: A list of currently available technologies was identified from English-language journals, using PubMed and Web of Science. The search criteria were principally based on the date of publication (between 1995 and 2011) and pre-defined search keywords.
RESULTS: Six main groups of innovative technologies were identified ('Personal Digital Assistant-', 'Mobile-phone-', 'Interactive computer-', 'Web-', 'Camera- and tape-recorder-' and 'Scan- and sensor-based' technologies). Compared with the conventional food records, Personal Digital Assistant and mobile phone devices seem to improve the recording through the possibility for 'real-time' recording at eating events, but their validity to estimate individual dietary intakes was low to moderate. In 24-hour dietary recalls, there is still limited knowledge regarding the accuracy of fully automated approaches; and methodological problems, such as the inaccuracy in self-reported portion sizes might be more critical than in interview-based applications. In contrast, measurement errors in innovative web-based and in conventional paper-based Food Frequency Questionnaires are most likely similar, suggesting that the underlying methodology is unchanged by the technology.
CONCLUSIONS: Most of the new technologies in dietary assessment were seen to have overlapping methodological features with the conventional methods predominantly used for nutritional epidemiology. Their main potential to enhance dietary assessment is through more cost- and time-effective, less laborious ways of data collection and higher subject acceptance, though their integration in epidemiological studies would need additional considerations, such as the study objectives, the target population and the financial resources available. However, even in innovative technologies, the inherent individual bias related to self-reported dietary intake will not be resolved. More research is therefore crucial to investigate the validity of innovative dietary assessment technologies.

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Mesh:

Year:  2012        PMID: 22933652     DOI: 10.1093/ije/dys105

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  134 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.  Nutrient Intake During Diet-Induced Weight Loss and Exercise Interventions in a Randomized Trial in Older Overweight and Obese Adults.

Authors:  G D Miller; D P Beavers; D Hamm; S L Mihalko; S P Messier
Journal:  J Nutr Health Aging       Date:  2017       Impact factor: 4.075

Review 3.  Proceedings from the 2018 Association for Chemoreception Annual Meeting Symposium: Bariatric Surgery and Its Effects on Taste and Food Selection.

Authors:  Alan C Spector; Natasha Kapoor; Ruth K Price; M Yanina Pepino; M Barbara E Livingstone; Carel W Le Roux
Journal:  Chem Senses       Date:  2019-03-11       Impact factor: 3.160

4.  Relying on biomarkers for intake assessment in nutrition.

Authors:  Lars Ove Dragsted
Journal:  Am J Clin Nutr       Date:  2016-12-21       Impact factor: 7.045

5.  A Daily Diary Study of Rumination and Health Behaviors: Modeling Moderators and Mediators.

Authors:  Kristen E Riley; Crystal L Park; Jean-Philippe Laurenceau
Journal:  Ann Behav Med       Date:  2019-07-17

Review 6.  Cardiovascular Disease Prevention by Diet Modification: JACC Health Promotion Series.

Authors:  Edward Yu; Vasanti S Malik; Frank B Hu
Journal:  J Am Coll Cardiol       Date:  2018-08-21       Impact factor: 24.094

7.  Perspective: Limiting Dependence on Nonrandomized Studies and Improving Randomized Trials in Human Nutrition Research: Why and How.

Authors:  John F Trepanowski; John P A Ioannidis
Journal:  Adv Nutr       Date:  2018-07-01       Impact factor: 8.701

8.  "Drivers" of translational cancer epidemiology in the 21st century: needs and opportunities.

Authors:  Tram Kim Lam; Margaret Spitz; Sheri D Schully; Muin J Khoury
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-01-15       Impact factor: 4.254

9.  qDIET: toward an automated, self-sustaining knowledge base to facilitate linking point-of-sale grocery items to nutritional content.

Authors:  Valliammai Chidambaram; Philip J Brewster; Kristine C Jordan; John F Hurdle
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

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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