Association between Bone Mineral Density and Serum Iron Indices in Premenopausal Women in South Korea
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초록
Background: Osteoporosis is characterized by a decrease in bone mineral density (BMD) and increased risk of fragility fractures. Serum iron level may interact with bone health status. This study investigated the correlations of BMD with serum iron level, hemoglobin level, and total iron-binding capacity (TIBC). Methods: We performed a retrospective analysis of data from the medical records of premenopausal women in South Korea. The women’s BMDs and the Z scores of the BMDs were verified using dual-energy X-ray absorption. The participants were stratified into quartiles for analyses of the associations of BMD with serum iron level, TIBC, and hemoglobin level. Results: A simple linear regression analysis revealed associations of changes in BMD with iron level (β=-0.001, standard error [SE]=0.001, P<0.001), hemoglobin level (β=0.015, SE=0.003, P<0.001), and TIBC (β=0.001, SE=0.001, P<0.001). This pattern was also observed in a multiple linear regression analysis. A multivariate logistic regression analysis of iron level and TIBC for low BMD revealed odds ratios of 1.005 (P<0.001) and 0.995 (P<0.001), respectively. Conclusion: This study demonstrated clear relationships of changes in BMD with serum iron level and TIBC, and thus confirms the usefulness of these markers in the clinical evaluation of iron storage and BMD in younger women.
Abstract
Background: Osteoporosis is characterized by a decrease in bone mineral density (BMD) and increased risk of fragility fractures. Serum iron level may interact with bone health status. This study investigated the correlations of BMD with serum iron level, hemoglobin level, and total iron-binding capacity (TIBC). Methods: We performed a retrospective analysis of data from the medical records of premenopausal women in South Korea. The women’s BMDs and the Z scores of the BMDs were verified using dual-energy X-ray absorption. The participants were stratified into quartiles for analyses of the associations of BMD with serum iron level, TIBC, and hemoglobin level. Results: A simple linear regression analysis revealed associations of changes in BMD with iron level (β=-0.001, standard error [SE]=0.001, P<0.001), hemoglobin level (β=0.015, SE=0.003, P<0.001), and TIBC (β=0.001, SE=0.001, P<0.001). This pattern was also observed in a multiple linear regression analysis. A multivariate logistic regression analysis of iron level and TIBC for low BMD revealed odds ratios of 1.005 (P<0.001) and 0.995 (P<0.001), respectively. Conclusion: This study demonstrated clear relationships of changes in BMD with serum iron level and TIBC, and thus confirms the usefulness of these markers in the clinical evaluation of iron storage and BMD in younger women.
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