OBJECTIVE: Higher intake of magnesium appears to improve glucose and insulin homeostasis; however, there are sparse prospective data on the association between magnesium intake and incidence of type 2 diabetes. RESEARCH DESIGN AND METHODS: In the Women's Health Study, a cohort of 39,345 U.S. women aged >/=45 years with no previous history of cardiovascular disease, cancer, or type 2 diabetes completed validated semiquantitative food frequency questionnaires in 1993 and were followed for an average of 6 years. We used Cox proportional hazard models to estimate multivariate relative risks (RRs) of type 2 diabetes across quintiles of magnesium intake compared with the lowest quintile. In a sample of 349 apparently healthy women from this study, we measured plasma fasting insulin levels to examine their relation to magnesium intake. RESULTS: During 222,523 person-years of follow-up, we documented 918 confirmed incident cases of type 2 diabetes. There was a significant inverse association between magnesium intake and risk of type 2 diabetes, independent of age and BMI (P = 0.007 for trend). After further adjustment for physical activity, alcohol intake, smoking, family history of diabetes, and total calorie intake, the multivariate-adjusted RRs of diabetes from the lowest to highest quintiles of magnesium intake were attenuated at 1.0, 1.06, 0.81, 0.86, and 0.89 (P = 0.05 for trend). Among women with BMI >/=25 kg/m2, the inverse trend was significant; multivariate-adjusted RRs were 1.0, 0.96, 0.76, 0.84, and 0.78 (P = 0.02 for trend). Multivariate-adjusted geometric mean insulin levels for overweight women in the lowest quartile of magnesium intake was 53.5 compared with 41.5 pmol/l among those at the highest quartile (P = 0.03 for trend). CONCLUSIONS: These findings support a protective role of higher intake of magnesium in reducing the risk of developing type 2 diabetes, especially in overweight women.
OBJECTIVE: Higher intake of magnesium appears to improve glucose and insulin homeostasis; however, there are sparse prospective data on the association between magnesium intake and incidence of type 2 diabetes. RESEARCH DESIGN AND METHODS: In the Women's Health Study, a cohort of 39,345 U.S. women aged >/=45 years with no previous history of cardiovascular disease, cancer, or type 2 diabetes completed validated semiquantitative food frequency questionnaires in 1993 and were followed for an average of 6 years. We used Cox proportional hazard models to estimate multivariate relative risks (RRs) of type 2 diabetes across quintiles of magnesium intake compared with the lowest quintile. In a sample of 349 apparently healthy women from this study, we measured plasma fasting insulin levels to examine their relation to magnesium intake. RESULTS: During 222,523 person-years of follow-up, we documented 918 confirmed incident cases of type 2 diabetes. There was a significant inverse association between magnesium intake and risk of type 2 diabetes, independent of age and BMI (P = 0.007 for trend). After further adjustment for physical activity, alcohol intake, smoking, family history of diabetes, and total calorie intake, the multivariate-adjusted RRs of diabetes from the lowest to highest quintiles of magnesium intake were attenuated at 1.0, 1.06, 0.81, 0.86, and 0.89 (P = 0.05 for trend). Among women with BMI >/=25 kg/m2, the inverse trend was significant; multivariate-adjusted RRs were 1.0, 0.96, 0.76, 0.84, and 0.78 (P = 0.02 for trend). Multivariate-adjusted geometric mean insulin levels for overweight women in the lowest quartile of magnesium intake was 53.5 compared with 41.5 pmol/l among those at the highest quartile (P = 0.03 for trend). CONCLUSIONS: These findings support a protective role of higher intake of magnesium in reducing the risk of developing type 2 diabetes, especially in overweight women.
Authors: Anil V Nair; Berthold Hocher; Sjoerd Verkaart; Femke van Zeeland; Thiemo Pfab; Torsten Slowinski; You-Peng Chen; Karl Peter Schlingmann; André Schaller; Sabina Gallati; René J Bindels; Martin Konrad; Joost G Hoenderop Journal: Proc Natl Acad Sci U S A Date: 2012-06-25 Impact factor: 11.205
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Authors: Mingzhu Nie; Manjot S Bal; Jie Liu; Zhufeng Yang; Carolina Rivera; Xue-Ru Wu; Joost G J Hoenderop; René J M Bindels; Denise K Marciano; Matthias T F Wolf Journal: J Biol Chem Date: 2018-08-23 Impact factor: 5.157
Authors: Sara A Chacko; Yiqing Song; Lauren Nathan; Lesley Tinker; Ian H de Boer; Fran Tylavsky; Robert Wallace; Simin Liu Journal: Diabetes Care Date: 2009-11-10 Impact factor: 19.112