ArticleEuropean journal of clinical nutrition2010
Web-based eHealth applications with reference to food composition data.
Article in European journal of clinical nutrition, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Polyphenols: immunonutrients tipping the balance of immunometabolism in chronic diseases.Frontiers in immunology · 2024Review
- Evaluation of Pollen Apps Forecasts: The Need for Quality Control in an eHealth Service.Journal of medical Internet research · 2017Article
- School nutrition guidelines: overview of the implementation and evaluation.Public health nutrition · 2015Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
objectivesFood composition data (FCD) can provide important information in relation to diet and health; therefore, data on food composition have broad applications in health care. The objective of this study was to provide an overview of added-value eHealth systems that use modern information and communication technologies to support health and are related to FCD and nutrition. This paper also examines whether reliable and comprehensive FCD are used in eHealth systems.
methodsA total of 25 instances of eHealth systems from nine groups, defined with respect to the services that eHealth systems provide, were randomly selected. The selection of the population-based and expert-based eHealth systems took into account diversity, complexity and popularity. RESULTS/
conclusionsAs most of the reviewed population-based eHealth systems used the United States Department of Agriculture nutrient database or basic FCD provided by the food products' producers, and only a few of them relied on local or national FCD, the author believes that, in general, the use of comprehensive FCD in the reviewed population-based eHealth systems has not reached a satisfactory level. Furthermore, many of these systems would increase their value by providing more detailed information on FCD and by addressing the nutritional aspects of health with greater emphasis. In contrast, most of the reviewed expert-based eHealth systems proved to be reliable and rich sources of nutrition information, respecting the need to address the subject from both national and international aspects.
Indexed as
Identifiers
21045840What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.