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TL;DR
Dietary patterns were derived via principal component analysis and reduced rank regression, identifying a vegetable-rich pattern (VRP), a vegetable-poor pattern (VPP), and a carbohydrate-dense pattern (CDP).
Frontiers in Nutrition · 9 authors, 6 centres
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Dietary patterns were derived via principal component analysis and reduced rank regression, identifying a vegetable-rich pattern (VRP), a vegetable-poor pattern (VPP), and a carbohydrate-dense pattern (CDP).
Dietary patterns were derived via principal component analysis and reduced rank regression, identifying a vegetable-rich pattern (VRP), a vegetable-poor pattern (VPP), and a carbohydrate-dense pattern (CDP). Associations with prediabetes and diabetes were assessed using multinomial logistic regression. High adherence to CDP was positively associated with prediabetes. Higher adherence to VRP was associated with a borderline decrease in diabetes. No association was observed between VPP and either prediabetes or diabetes. The authors note the cross-sectional design limits causal inference and suggest longitudinal research is needed.