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Comparable dietary patterns describe dietary behavior across ethnic groups in the Netherlands, but different elements in the diet are associated with glycated hemoglobin and fasting glucose concentrations

Dekker, L.H.; van Dam, R.M.; Snijder, M.B.; Peters, R.J.G.; Dekker, J.M.; de Vries, J.H.M.; de Boer, E.J.; Schulze, M.B.; Stronks, K.; Nicolaou, M.

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2015

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10/f7mh4z

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Abstract:

Background: Ethnic minority populations in Western societies suffer from a disproportionate burden of type 2 diabetes (T2D). Insight into the role of dietary patterns in T2D may assist public health nutrition efforts in addressing these health disparities. Objective: We explored the association between dietary patterns and biomarkers of T2D in 5 ethnic groups living in Amsterdam, Netherlands. Methods: A total of 3776 men and women aged 18-70 y of Dutch, South Asian Surinamese, African-Surinamese, Turkish, and Moroccan origin from the HELIUS (HEalthy LIfe in an Urban Setting) study were included. Diet was assessed by using a food-frequency questionnaire, and dietary patterns were derived separately per ethnic group. First, food group-based dietary patterns were derived by using principal components analysis and the association with glycated hemoglobin (HbA1c) and plasma fasting glucose was assessed by using multivariable linear regression. Second, biomarker-driven dietary patterns based on HbA1c and fasting glucose concentrations were derived by applying reduced rank regression. Results: Two comparable food group-based dietary patterns were identified in each ethnic group: a "meat and snack" pattern and a "vegetable" pattern. The meat-and-snack pattern derived within the Dutch origin population was significantly associated with HbA1c (β = 0.09; 95% CI: 0.00, 0.19) and fasting glucose (β = 0.18; 95% CI: 0.09, 0.26) concentrations. A biomarker-derived pattern characterized by red and processed meat was observed among Dutch-origin participants; however, among ethnic minority groups, this pattern was characterized by other foods including ethnicity-specific foods (e.g., roti, couscous). Conclusions: Although similar food group dietary patterns were derived within 5 ethnic groups, the association of the meat-and-snack pattern with fasting glucose concentrations differed by ethnicity. Taken together with the finding of ethnic differences in biomarker-driven dietary patterns, our results imply that addressing T2D risk in multiethnic populations requires ethnicity-specific approaches. © 2015 American Society for Nutrition.

Automatic Tags

Diabetes; Dietary patterns; Principal component analysis; Ethnicity; Reduced rank regression analysis

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