Compositional analysis of dietary patterns.
Stat Methods Med Res
; 28(9): 2834-2847, 2019 09.
Article
in En
| MEDLINE
| ID: mdl-30045678
ABSTRACT
Instead of looking at individual nutrients or foods, dietary pattern analysis has emerged as a promising approach to examine the relationship between diet and health outcomes. Despite dietary patterns being compositional (i.e. usually a higher intake of some foods implies that less of other foods are being consumed), compositional data analysis has not yet been applied in this setting. We describe three compositional data analysis approaches (compositional principal component analysis, balances and principal balances) that enable the extraction of dietary patterns by using control subjects from the Spanish multicase-control (MCC-Spain) study. In particular, principal balances overcome the limitations of purely data-driven or investigator-driven methods and present dietary patterns as trade-offs between eating more of some foods and less of others.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Models, Statistical
/
Feeding Behavior
Type of study:
Clinical_trials
/
Observational_studies
/
Risk_factors_studies
Limits:
Adult
/
Aged
/
Aged80
/
Female
/
Humans
/
Male
/
Middle aged
Country/Region as subject:
Europa
Language:
En
Journal:
Stat Methods Med Res
Year:
2019
Document type:
Article
Affiliation country:
Spain