BACKGROUND: Micronutrients play a key role in type 2 diabetes mellitus (T2DM), but methodological difficulties arise from their collinearity and interdependencies with foods. The aim of the present study was to identify micronutrient dietary patterns in the E3N-EPIC (Etude Epidémiologique auprès de femmes de l'Education Nationale) cohort and to investigate their association with risk of T2DM. METHODS: Principal component analysis was used to identify micronutrient patterns among 71 270 women from the E3N-EPIC cohort. Associations between micronutrient patterns and risk of T2DM were quantified by hazard ratios (HRs) and 95% confidence intervals (CIs) from Cox proportional hazards regression models, adjusted for potential confounders. RESULTS: Six micronutrient patterns were identified explaining 78% of the total variance in micronutrient intake. A positive association was found between T2DM and a pattern highly correlated with intake of vitamins B2 and B5 (HR 1.34; 95% CI 1.16-1.56). Similarly, a positive association was found with a pattern characterized by high intakes of vitamin B12 and retinol, and a low intake of vitamin C (HR 1.30; 95% CI 1.15-1.48). An inverse association was observed between T2DM and another two patterns: one correlated with magnesium and vitamin B3 (HR 0.75; 95% CI 0.66-0.86), and the other correlated with manganese intake (HR 0.82; 95% CI 0.72-0.94). CONCLUSIONS: The findings of the present study identify micronutrients that have an effect on the risk of T2DM, and enable better understanding of the complexity of the diet when investigating the association between micronutrients and T2DM.
BACKGROUND: Micronutrients play a key role in type 2 diabetes mellitus (T2DM), but methodological difficulties arise from their collinearity and interdependencies with foods. The aim of the present study was to identify micronutrient dietary patterns in the E3N-EPIC (Etude Epidémiologique auprès de femmes de l'Education Nationale) cohort and to investigate their association with risk of T2DM. METHODS: Principal component analysis was used to identify micronutrient patterns among 71 270 women from the E3N-EPIC cohort. Associations between micronutrient patterns and risk of T2DM were quantified by hazard ratios (HRs) and 95% confidence intervals (CIs) from Cox proportional hazards regression models, adjusted for potential confounders. RESULTS: Six micronutrient patterns were identified explaining 78% of the total variance in micronutrient intake. A positive association was found between T2DM and a pattern highly correlated with intake of vitamins B2 and B5 (HR 1.34; 95% CI 1.16-1.56). Similarly, a positive association was found with a pattern characterized by high intakes of vitamin B12 and retinol, and a low intake of vitamin C (HR 1.30; 95% CI 1.15-1.48). An inverse association was observed between T2DM and another two patterns: one correlated with magnesium and vitamin B3 (HR 0.75; 95% CI 0.66-0.86), and the other correlated with manganese intake (HR 0.82; 95% CI 0.72-0.94). CONCLUSIONS: The findings of the present study identify micronutrients that have an effect on the risk of T2DM, and enable better understanding of the complexity of the diet when investigating the association between micronutrients and T2DM.
Authors: Tiara R Ahmad; Sei Higuchi; Enrico Bertaggia; Allison Hung; Niroshan Shanmugarajah; Nicole C Guilz; Jennifer R Gamarra; Rebecca A Haeusler Journal: J Biol Chem Date: 2020-07-20 Impact factor: 5.157