Literature DB >> 1914803

Evaluation of new computerized method for recording 7-day food intake in IDDM patients.

A A Rivellese1, M M Ventura, G Vespasiani, M Bruni, V Moriconi, D Pacioni, M T Sulpini, R Borrelli, A Giacco, C Cangemi.   

Abstract

OBJECTIVE: To evaluate a new computerized method for recording 7-day food intake. RESEARCH DESIGN AND METHODS: Randomized crossover trial was conducted with patients recording the amount and type of every food and drink consumed during a week by either a computerized device (Food-meter) or recording the data in a diary. Each method was applied twice. Twenty-one insulin-dependent diabetic patients (mean +/- SD age 25 +/- 9 yr) were studied.
RESULTS: The two methods showed very good agreement in the evaluation of the patients' diets (1792 +/- 408 vs. 1764 +/- 436 kcal/day, 84 +/- 19 vs. 82 +/- 21 g/day protein, 68 +/- 22 vs. 67 +/- 23 g/day fat, 210 +/- 60 vs. 207 +/- 58 g/day carbohydrate with the conventional and computerized methods, respectively). The variability between the methods and the variability within each method were of similar magnitude.
CONCLUSIONS: The Food-meter represents a useful tool for computerizing the 7-day food record. The method is easy, reliable, and time saving. Moreover, it minimizes the risk of transcriptional errors.

Entities:  

Mesh:

Year:  1991        PMID: 1914803     DOI: 10.2337/diacare.14.7.602

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  5 in total

1.  Online electronic data capture and research data repository system for clinical and translational research.

Authors:  Abu Saleh Mohammad Mosa; Ilihoi Yoo; Jerry C Parker
Journal:  Mo Med       Date:  2015 Jan-Feb

Review 2.  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

3.  Need for technological innovation in dietary assessment.

Authors:  Frances E Thompson; Amy F Subar; Catherine M Loria; Jill L Reedy; Tom Baranowski
Journal:  J Am Diet Assoc       Date:  2010-01

Review 4.  A review of randomized controlled trials comparing the effectiveness of hand held computers with paper methods for data collection.

Authors:  Shannon J Lane; Nancy M Heddle; Emmy Arnold; Irwin Walker
Journal:  BMC Med Inform Decis Mak       Date:  2006-05-31       Impact factor: 2.796

Review 5.  Application of Artificial Intelligence in Diabetes Education and Management: Present Status and Promising Prospect.

Authors:  Juan Li; Jin Huang; Lanbo Zheng; Xia Li
Journal:  Front Public Health       Date:  2020-05-29
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.