Shinje Moon1, Hye Soo Chung2, Jae Myung Yu2, Hyung Joon Yoo3, Jung Hwan Park4, Dong Sun Kim4, Yoo-Kyung Park5, Sang Nam Yoon6. 1. Division of Endocrinology and Metabolism, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea; Department of Internal Medicine, Graduate School, Hanyang University, Seoul, South Korea. 2. Division of Endocrinology and Metabolism, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea. 3. Department of Internal Medicine, CM Hospital, Seoul, South Korea. 4. Department of Internal Medicine, Hanyang University College of Medicine, Seoul, South Korea. 5. Department of Clinical Nutrition, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea. 6. Department of Surgery, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea. Electronic address: snyoon@hallym.or.kr.
Abstract
OBJECTIVE: Selenium seems to be a risk factor for diabetes mellitus (DM) in recent studies, opposite to the previous expectation that it may contribute to prevent DM. The authors aimed to ascertain the relationship between selenium and DM. METHODS: Data were collected from the National Health and Nutrition Examination Survey conducted from 2011 to 2014. A multivariate logistic regression analysis with adjustment for age, sex, race/ethnicity, hypertension, dyslipidemia and body mass index was conducted to evaluate the odds ratio for DM. RESULTS: The total number of subjects was 19,931. Large proportion of subjects were excluded due to young age (< 20 years) and missing data. The data of 3406 participants were analyzed, and a total of 604 had DM. In a multivariate logistic regression model, the increase of 10 μg/L in selenium increased the prevalence of DM by 12% (OR: 1.12; 95% CI: 1.06-1.18). Further analysis with 1:1 propensity score matching data with age and sex showed a similar results (OR: 1.08; 95% CI: 1.01-1.15). In addition, the restricted cubic spline regression showed a dose-dependent relationship between selenium level and DM. Subgroup analysis showed a dose-dependent relationship between selenium level and DM regardless of sex or race/ethnicity CONCLUSIONS: This large population study clearly demonstrates a positive association between selenium level and DM. This finding could have implications for nutritional supplementation in clinical settings.
OBJECTIVE:Selenium seems to be a risk factor for diabetes mellitus (DM) in recent studies, opposite to the previous expectation that it may contribute to prevent DM. The authors aimed to ascertain the relationship between selenium and DM. METHODS: Data were collected from the National Health and Nutrition Examination Survey conducted from 2011 to 2014. A multivariate logistic regression analysis with adjustment for age, sex, race/ethnicity, hypertension, dyslipidemia and body mass index was conducted to evaluate the odds ratio for DM. RESULTS: The total number of subjects was 19,931. Large proportion of subjects were excluded due to young age (< 20 years) and missing data. The data of 3406 participants were analyzed, and a total of 604 had DM. In a multivariate logistic regression model, the increase of 10 μg/L in selenium increased the prevalence of DM by 12% (OR: 1.12; 95% CI: 1.06-1.18). Further analysis with 1:1 propensity score matching data with age and sex showed a similar results (OR: 1.08; 95% CI: 1.01-1.15). In addition, the restricted cubic spline regression showed a dose-dependent relationship between selenium level and DM. Subgroup analysis showed a dose-dependent relationship between selenium level and DM regardless of sex or race/ethnicity CONCLUSIONS: This large population study clearly demonstrates a positive association between selenium level and DM. This finding could have implications for nutritional supplementation in clinical settings.