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Evaluation of adherence to nutritional intervention through trajectory analysis

Author
Sevilla-Villanueva, Beatriz; Gibert, Karina; Sànchez-Marrè, M.; Fitó, M.; Covas, M.I.
Type of activity
Journal article
Journal
IEEE Journal of Biomedical and Health Informatics
Date of publication
2016-11-22
Volume
21
Number
3
First page
628
Last page
634
DOI
https://doi.org/10.1109/JBHI.2016.2634698 Open in new window
URL
http://ieeexplore.ieee.org.recursos.biblioteca.upc.edu/document/7763770/authors?reload=true&ctx=authors Open in new window
Abstract
Classical Pre-Post Intervention Studies are often analyzed using traditional statistics. Nevertheless, the nutritional interventions have small effects on the metabolism and traditional statistics are not enough to detect these subtle nutrient effects. Generally, this kind of studies assumes that the participants are adhered to the assigned dietary intervention and directly analyzes its effects over the target parameters. Thus, the evaluation of adherence is generally omitted. Although, sometime...
Keywords
Adherence Analysis, Clustering, In-terpretation, Pre-Post Studies, Trajectory Analysis.
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
KEMLG - Knowledge Engineering and Machine Learning Group

Participants