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Nutr Metab Cardiovasc Dis. 2015 Jan;25(1):85-92. doi: 10.1016/j.numecd.2014.08.002. Epub 2014 Aug 28.

Quality of diet is associated with insulin resistance in the Cree (Eeyouch) indigenous population of northern Québec.

Author information

1
Centre for Indigenous Peoples' Nutrition and Environment, McGill University, Montreal, QC, Canada; School of Dietetics and Human Nutrition, McGill University, Montreal, QC, Canada. Electronic address: louise.johnson-down@mcgill.ca.
2
Institute of Nutrition and Functional Foods, Laval University, Québec, QC, Canada.
3
Environment and Resource Studies, University of Waterloo, Waterloo, ON, Canada.
4
Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada.
5
Department of Social & Preventive Medicine, Laval University, Québec, QC, Canada; Population Health and Optimal Health Practices Research Unit, CHU de Québec Research Centre, Québec, QC, Canada.
6
Centre for Indigenous Peoples' Nutrition and Environment, McGill University, Montreal, QC, Canada; School of Dietetics and Human Nutrition, McGill University, Montreal, QC, Canada; Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway; Norwegian Institute of Public Health, Bergen, Norway.

Abstract

BACKGROUND AND AIMS:

Indigenous people worldwide have a greater disease burden than their non-aboriginal counterparts with health challenges that include increased obesity and higher prevalence of diabetes. We investigate the relationships of dietary patterns with nutritional biomarkers, selected environmental contaminants and measures of insulin resistance in the Cree (Eeyouch) of northern Québec Canada.

METHODS AND RESULTS:

The cross-sectional 'Nituuchischaayihitaau Aschii: A Multi-Community Environment-and-Health Study in Eeyou Istchee' recruited 835 adult participants (≥18 y) from 7 communities in the James Bay region of northern Québec. The three dietary patterns identified by principal component analysis (PCA) were: inland and coastal patterns with loadings on traditional foods, and a junk food pattern with high-fat and high-sugar foods. We investigated dietary patterns scores (in quantiles) in relation with nutritional biomarkers, environmental contaminants, anthropometry, blood pressure, fasting plasma glucose and insulin, and insulin resistance. Homeostatic model assessment (HOMA-IR) was used as surrogate markers of insulin resistance. ANCOVA ascertained relationships between dietary patterns relationship and outcomes. Greater scores for the traditional patterns were associated with higher levels of n-3 fatty acids, mercury and polychlorinated biphenyls (PCBs) (P trend <0.001). Higher scores for the junk food pattern were associated with lower levels of PCBs and Vitamin D, but higher fasting plasma insulin and HOMA-IR.

CONCLUSION:

Our results suggest that poor diet quality accompanied greater insulin resistance. Impacts of diet quality on insulin resistance, as a sign of metabolism perturbation, deserve more attention in this indigenous population with high rates of obesity and diabetes.

KEYWORDS:

Diabetes; Dietary patterns; Hyperinsulinemia; Insulin

PMID:
25240691
DOI:
10.1016/j.numecd.2014.08.002
[Indexed for MEDLINE]

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