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

Tove K. Ryman, Bert Boyer, Scarlett Hopkins, Jacques Philip, Diane O'brien, Kenneth Thummel, Melissa A. Austin

Research output: Contribution to journalArticle

9 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)634-643
Number of pages10
JournalBritish Journal of Nutrition
Volume113
Issue number4
DOIs
StatePublished - Jan 1 2015
Externally publishedYes

Fingerprint

Food
Statistical Factor Analysis
Reproducibility of Results
Vegetables
Fruit
Biomarkers
Vulnerable Populations
Research
Alaska Natives
Life Style
Linear Models
Diet
Health
Population

Keywords

  • Alaska Native people
  • Diet
  • Factor analysis
  • FFQ
  • Reliability
  • Reproducibility
  • Yup'ik

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Nutrition and Dietetics
  • Medicine(all)

Cite this

Characterising the reproducibility and reliability of dietary patterns among Yup'ik Alaska Native people. / Ryman, Tove K.; Boyer, Bert; Hopkins, Scarlett; Philip, Jacques; O'brien, Diane; Thummel, Kenneth; Austin, Melissa A.

In: British Journal of Nutrition, Vol. 113, No. 4, 01.01.2015, p. 634-643.

Research output: Contribution to journalArticle

Ryman, Tove K. ; Boyer, Bert ; Hopkins, Scarlett ; Philip, Jacques ; O'brien, Diane ; Thummel, Kenneth ; Austin, Melissa A. / Characterising the reproducibility and reliability of dietary patterns among Yup'ik Alaska Native people. In: British Journal of Nutrition. 2015 ; Vol. 113, No. 4. pp. 634-643.
@article{14091609a14c4db48dfc29d0b6db491c,
title = "Characterising the reproducibility and reliability of dietary patterns among Yup'ik Alaska Native people",
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.",
keywords = "Alaska Native people, Diet, Factor analysis, FFQ, Reliability, Reproducibility, Yup'ik",
author = "Ryman, {Tove K.} and Bert Boyer and Scarlett Hopkins and Jacques Philip and Diane O'brien and Kenneth Thummel and Austin, {Melissa A.}",
year = "2015",
month = "1",
day = "1",
doi = "10.1017/S0007114514003596",
language = "English (US)",
volume = "113",
pages = "634--643",
journal = "British Journal of Nutrition",
issn = "0007-1145",
publisher = "Cambridge University Press",
number = "4",

}

TY - JOUR

T1 - Characterising the reproducibility and reliability of dietary patterns among Yup'ik Alaska Native people

AU - Ryman, Tove K.

AU - Boyer, Bert

AU - Hopkins, Scarlett

AU - Philip, Jacques

AU - O'brien, Diane

AU - Thummel, Kenneth

AU - Austin, Melissa A.

PY - 2015/1/1

Y1 - 2015/1/1

N2 - 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.

AB - 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.

KW - Alaska Native people

KW - Diet

KW - Factor analysis

KW - FFQ

KW - Reliability

KW - Reproducibility

KW - Yup'ik

UR - http://www.scopus.com/inward/record.url?scp=84923617258&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84923617258&partnerID=8YFLogxK

U2 - 10.1017/S0007114514003596

DO - 10.1017/S0007114514003596

M3 - Article

C2 - 25656871

AN - SCOPUS:84923617258

VL - 113

SP - 634

EP - 643

JO - British Journal of Nutrition

JF - British Journal of Nutrition

SN - 0007-1145

IS - 4

ER -