title: Evaluation of Adherence to Nutritional Intervention Through Trajectory Analysis.
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, sometimes, participants do not effectively adhere to the assigned dietary guidelines. For this reason, the trajectory map is proposed as a visual tool where dietary patterns of individuals can be followed during the intervention and can also be related with nutritional prescriptions. The trajectory analysis is also proposed allowing both analysis: 1) adherence to the intervention and 2) intervention effects. The analysis is made by projecting the differences of the target parameters over the resulting trajectories between states of different time-stamps which might be considered either individually or by groups. The proposal has been applied over a real nutritional study showing that some individuals adhere better than others and some individuals of the control group modify their habits during the intervention. In addition, the intervention effects are different depending on the type of individuals, even some subgroups have opposite response to the same intervention.
authors.forename: B
authors.initials: B
authors.lastname: Sevilla-Villanueva
authors.forename: K
authors.initials: K
authors.lastname: Gibert
authors.forename: M
authors.initials: M
authors.lastname: Sanchez-Marre
authors.forename: M
authors.initials: M
authors.lastname: Fito
authors.forename: M I
authors.initials: MI
authors.lastname: Covas
mesh_terms: D000328:Adult; D050197:Atherosclerosis / Q000235:genetics / Q000378:metabolism; D001294:Attitude to Health; D016000:Cluster Analysis; D019295:Computational Biology / Q000379:methods*; D038441:Diet, Mediterranean; D006293:Health Promotion / Q000379:methods*; D006801:Humans; D008875:Middle Aged; D008962:Models, Theoretical; D054647:Nutrigenomics / Q000379:methods*; D055815:Young Adult