Literature DB >> 19804586

Evidence review of technology and dietary assessment.

JoAnn D Long1, Laurel A Littlefield, Gary Estep, Hope Martin, Toby J Rogers, Carol Boswell, Brent J Shriver, Carmen R Roman-Shriver.   

Abstract

SIGNIFICANCE: Diets high in fruit and vegetable consumption are associated with a decrease in chronic diseases. Dietary factors are linked to 4 of the 10 leading noncommunicable causes of death: cardiovascular disease, some cancers, stroke, and type 2 diabetes. Accurately measuring dietary patterns has many challenges. Dietary intake measurement has traditionally relied on self-report instruments such as 24-hour recall, food record, and food frequency questionnaires to record consumption history. These methods have inherent limitations in detecting small but important changes in fruit and vegetable consumption patterns. Promising advances in technology have made more sophisticated techniques for recording dietary intake possible. Computers and Web-based programs, handheld personal digital assistants with cameras and telephone cards, smart phones, cameras, and video recorders options may reduce the burden of recording what has been consumed. Furthermore, technology-based methods of dietary assessment may provide a higher degree of reliability and validity in visually determining fruit and vegetable consumption, and additional study is warranted.
PURPOSE: The purpose of this article is to present a review of the evidence on the effectiveness of technology-based methods for dietary assessment, which included fruit and vegetable consumption. APPROACH: One hundred and eighty-seven articles published between 1998 and 2008 were initially identified. Fifteen met the study inclusion criteria and were evaluated by an interdisciplinary team using the Stetler Strength of Evidence Scale.
RESULTS: Six technology-based methods for dietary assessment were identified. Findings from validity and reliability testing of technology-based methods are encouraging and need replication. Clinically important features offered through technology may reduce reporting burden and offer behavioral feedback to users. Methodologically sound, empirical research into using technology-based application for dietary assessment in a variety of populations of sufficient size is needed. ©2009 Sigma Theta Tau International.

Entities:  

Mesh:

Year:  2010        PMID: 19804586     DOI: 10.1111/j.1741-6787.2009.00173.x

Source DB:  PubMed          Journal:  Worldviews Evid Based Nurs        ISSN: 1545-102X            Impact factor:   2.931


  13 in total

1.  Teledietetics improves weight reduction by modifying eating behavior: a randomized controlled trial.

Authors:  Louisa Ming Yan Chung; Queenie Pui Sze Law; Shirley Siu Ming Fong; Joanne Wai Yee Chung
Journal:  Telemed J E Health       Date:  2013-11-08       Impact factor: 3.536

2.  Applying the Concept of Nutrient-Profiling to Promote Healthy Eating and Raise Individuals' Awareness of the Nutritional Quality of their Food.

Authors:  Mayda A Alrige; Samir Chatterjee; Ernie Medina; Jeje Nuval
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

3.  Caloric intake, aging, and mild cognitive impairment: a population-based study.

Authors:  Yonas E Geda; Marion Ragossnig; Lewis A Roberts; Rosebud O Roberts; V Shane Pankratz; Teresa J H Christianson; Michelle M Mielke; James A Levine; Bradley F Boeve; Ondřej Sochor; Eric G Tangalos; David S Knopman; Ronald C Petersen
Journal:  J Alzheimers Dis       Date:  2013       Impact factor: 4.472

4.  Multiple behavior changes in diet and activity: a randomized controlled trial using mobile technology.

Authors:  Bonnie Spring; Kristin Schneider; H Gene McFadden; Jocelyn Vaughn; Andrea T Kozak; Malaina Smith; Arlen C Moller; Leonard H Epstein; Andrew Demott; Donald Hedeker; Juned Siddique; Donald M Lloyd-Jones
Journal:  Arch Intern Med       Date:  2012-05-28

Review 5.  Nutritional screening and assessment in inflammatory bowel disease.

Authors:  Arshdeep Singh; Catherine Wall; Arie Levine; Vandana Midha; Ramit Mahajan; Ajit Sood
Journal:  Indian J Gastroenterol       Date:  2022-01-15

6.  Metric properties of the "prescribe healthy life" screening questionnaire to detect healthy behaviors: a cross-sectional pilot study.

Authors:  Paola Bully; Alvaro Sanchez; Gonzalo Grandes; Haizea Pombo; Ma Soledad Arietalenizbeaskoa; Veronica Arce; Catalina Martinez
Journal:  BMC Public Health       Date:  2016-12-07       Impact factor: 3.295

7.  The Impact of Health Literacy Status on the Comparative Validity and Sensitivity of an Interactive Multimedia Beverage Intake Questionnaire.

Authors:  Lucy P Hooper; Emily A Myers; Jamie M Zoellner; Brenda M Davy; Valisa E Hedrick
Journal:  Nutrients       Date:  2016-12-23       Impact factor: 5.717

8.  Validation of a pre-coded food diary used among 60-80 year old men: comparison of self-reported energy intake with objectively recorded energy expenditure.

Authors:  Tonje H Stea; Lene F Andersen; Gøran Paulsen; Ken J Hetlelid; Hilde Lohne-Seiler; Svanhild Adnanes; Thomas Bjørnsen; Svein Salvesen; Sveinung Berntsen
Journal:  PLoS One       Date:  2014-07-14       Impact factor: 3.240

Review 9.  Dietary assessment methods in epidemiologic studies.

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

10.  A Mobile Phone App for Dietary Intake Assessment in Adolescents: An Evaluation Study.

Authors:  Åsa Svensson; Christel Larsson
Journal:  JMIR Mhealth Uhealth       Date:  2015-11-03       Impact factor: 4.773

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