You are here

Characterising the reproducibility and reliability of dietary patterns among Yup'ik Alaska Native people.

TitleCharacterising the reproducibility and reliability of dietary patterns among Yup'ik Alaska Native people.
Publication TypeJournal Article
Year of Publication2015
AuthorsRyman, TK, Boyer, BB, Hopkins, S, Philip, J, O'Brien, D, Thummel, K, Austin, MA
JournalBr J Nutr
Volume113
Issue4
Pagination634-43
Date Published2015 Feb 28
ISSN1475-2662
KeywordsAdult, alaska, Biological Markers, Cohort Studies, Diet, Diet, Paleolithic, Female, Food Habits, Food, Preserved, Fruit, Humans, Inuits, Life Style, Longitudinal Studies, Male, Middle Aged, Models, Biological, Nutrition Assessment, Reproducibility of Results, Vegetables, Young Adult
Abstract

FFQ data can be used to characterise dietary patterns for diet-disease association studies. In the present study, we evaluated three previously defined dietary patterns--'subsistence foods', market-based 'processed foods' and 'fruits and vegetables'--among a sample of Yup'ik people from Southwest Alaska. We tested the reproducibility and reliability of the dietary patterns, as well as the associations of these patterns with dietary biomarkers and participant characteristics. We analysed data from adult study participants who completed at least one FFQ with the Center for Alaska Native Health Research 9/2009-5/2013. To test the reproducibility of the dietary patterns, we conducted a confirmatory factor analysis (CFA) of a hypothesised model using eighteen food items to measure the dietary patterns (n 272). To test the reliability of the dietary patterns, we used the CFA to measure composite reliability (n 272) and intra-class correlation coefficients for test-retest reliability (n 113). Finally, to test the associations, we used linear regression (n 637). All factor loadings, except one, in CFA indicated acceptable correlations between foods and dietary patterns (r>0·40), and model-fit criteria were >0·90. Composite and test-retest reliability of the dietary patterns were, respectively, 0·56 and 0·34 for 'subsistence foods', 0·73 and 0·66 for 'processed foods', and 0·72 and 0·54 for 'fruits and vegetables'. In the multi-predictor analysis, the dietary patterns were significantly associated with dietary biomarkers, community location, age, sex and self-reported lifestyle. This analysis confirmed the reproducibility and reliability of the dietary patterns in the present study population. These dietary patterns can be used for future research and development of dietary interventions in this underserved population.

DOI10.1017/S0007114514003596
Alternate JournalBr. J. Nutr.
PubMed ID25656871
Grant ListP20RR016430 / RR / NCRR NIH HHS / United States
P30GM103325 / GM / NIGMS NIH HHS / United States
R01DK074842 / DK / NIDDK NIH HHS / United States
TL1 TR000422 / TR / NCATS NIH HHS / United States
U01GM092676 / GM / NIGMS NIH HHS / United States
Username Tag: