Literature DB >> 20601863

Technology-based methods of dietary assessment: recent developments and considerations for clinical practice.

Brent J Shriver1, Carmen R Roman-Shriver, Joann D Long.   

Abstract

PURPOSE OF REVIEW: The objective of this review is to provide an overview of recent findings in technology-based methods for the collection and analysis of dietary information, and explore the potential implications of these technologies for dietary assessment in a clinical setting. RECENT
FINDINGS: Numerous technology-based methods for dietary assessment have emerged in recent years. These methodologies have the potential to enhance the dietary assessment process, and overall appear to yield valid results in a wide variety of populations. However, as is the case with the existing technologies they are designed to replace, none is error free and each has its own unique limitations. Therefore, the decision to incorporate one of these methodologies into clinical practice should only be made after a thorough evaluation of the methodology and with specific outcome goals in mind.
SUMMARY: Evidence supporting the emerging role of technology-based methods for dietary assessment is growing. As technological advances move rapidly forward it is important to consider a theoretical foundation to help guide the translation of these innovations into routine use in clinical practice.

Entities:  

Mesh:

Year:  2010        PMID: 20601863     DOI: 10.1097/MCO.0b013e32833c55f8

Source DB:  PubMed          Journal:  Curr Opin Clin Nutr Metab Care        ISSN: 1363-1950            Impact factor:   4.294


  10 in total

1.  School-Age Children Can Recall Some Foods and Beverages Consumed the Prior Day Using the Automated Self-Administered 24-Hour Dietary Assessment Tool (ASA24) without Assistance.

Authors:  Amanda Raffoul; Erin P Hobin; Jocelyn E Sacco; Kirsten M Lee; Jess Haines; Paula J Robson; Kevin W Dodd; Sharon I Kirkpatrick
Journal:  J Nutr       Date:  2019-06-01       Impact factor: 4.798

Review 2.  Dietary biomarkers: advances, limitations and future directions.

Authors:  Valisa E Hedrick; Andrea M Dietrich; Paul A Estabrooks; Jyoti Savla; Elena Serrano; Brenda M Davy
Journal:  Nutr J       Date:  2012-12-14       Impact factor: 3.271

Review 3.  Novel Online or Mobile Methods to Assess Eating Patterns.

Authors:  Felicity J Pendergast; Rebecca M Leech; Sarah A McNaughton
Journal:  Curr Nutr Rep       Date:  2017-07-11

4.  Lessons from Studies to Evaluate an Online 24-Hour Recall for Use with Children and Adults in Canada.

Authors:  Sharon I Kirkpatrick; Anne M Gilsing; Erin Hobin; Nathan M Solbak; Angela Wallace; Jess Haines; Alexandra J Mayhew; Sarah K Orr; Parminder Raina; Paula J Robson; Jocelyn E Sacco; Heather K Whelan
Journal:  Nutrients       Date:  2017-01-31       Impact factor: 5.717

5.  A systematic review of reviews identifying UK validated dietary assessment tools for inclusion on an interactive guided website for researchers: www.nutritools.org.

Authors:  Jozef Hooson Jzh; Jayne Hutchinson Jyh; Marisol Warthon-Medina; Neil Hancock; Katharine Greathead; Bethany Knowles; Elisa Vargas-Garcia; Lauren E Gibson; Linda A Bush; Barrie Margetts; Sian Robinson; Andy Ness; Nisreen A Alwan; Petra A Wark; Mark Roe; Paul Finglas; Toni Steer; Polly Page; Laura Johnson; Katharine Roberts; Birdem Amoutzopoulos; Victoria J Burley; Darren C Greenwood; Janet E Cade
Journal:  Crit Rev Food Sci Nutr       Date:  2019-03-18       Impact factor: 11.176

6.  Evaluation of the Ability of Diet-Tracking Mobile Applications to Estimate Energy and Nutrient Intake in Japan.

Authors:  Nana Shinozaki; Kentaro Murakami
Journal:  Nutrients       Date:  2020-10-29       Impact factor: 5.717

7.  PEGASO e-Diary: User Engagement and Dietary Behavior Change of a Mobile Food Record for Adolescents.

Authors:  Maurizio Caon; Federica Prinelli; Leonardo Angelini; Stefano Carrino; Elena Mugellini; Silvia Orte; José C E Serrano; Sarah Atkinson; Anne Martin; Fulvio Adorni
Journal:  Front Nutr       Date:  2022-03-17

8.  Evaluation of PIQNIQ, a Novel Mobile Application for Capturing Dietary Intake.

Authors:  Caroline M Blanchard; Meghan K Chin; Cheryl H Gilhooly; Kathryn Barger; Gregory Matuszek; Akari J Miki; Richard G Côté; Alison L Eldridge; Hilary Green; Fabio Mainardi; Damian Mehers; Frédéric Ronga; Vera Steullet; Sai Krupa Das
Journal:  J Nutr       Date:  2021-05-11       Impact factor: 4.798

Review 9.  Dietary assessment methods in epidemiologic studies.

Authors:  Jee-Seon Shim; Kyungwon Oh; Hyeon Chang Kim
Journal:  Epidemiol Health       Date:  2014-07-22

Review 10.  Evidence-based practice within nutrition: what are the barriers for improving the evidence and how can they be dealt with?

Authors:  Martine Laville; Berenice Segrestin; Maud Alligier; Cristina Ruano-Rodríguez; Lluis Serra-Majem; Michael Hiesmayr; Annemie Schols; Carlo La Vecchia; Yves Boirie; Ana Rath; Edmund A M Neugebauer; Silvio Garattini; Vittorio Bertele; Christine Kubiak; Jacques Demotes-Mainard; Janus C Jakobsen; Snezana Djurisic; Christian Gluud
Journal:  Trials       Date:  2017-09-11       Impact factor: 2.279

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.