Abstract
The aim of this study was to evaluate the association between gamma-glutamyl transferase (GGT) levels and the risk of hip fracture among middle-aged women by using the Korean National Health Insurance Service claims database from 2002 to 2015. After exclusion of those with any chronic liver disease, heavy alcohol consumption, any missing values required for our analysis, or GGT levels less than 1 or greater than 99 percentile, we classified subjects into three groups according to baseline GGT levels. A total of 127,141 women aged 50 years or older were included for analysis (GGT range: 8–106 U/L). During an average 12.1 years of follow-up, 2758 patients sustained hip fractures (2.17%). Compared with the group in the lowest tertile, the group in the highest tertile had the highest cumulative incidence of hip fracture. One log-unit increase in GGT was associated with a 17% increased risk of hip fracture. Subgroup analysis by BMI (≥ 25 vs. < 25 kg/m2), presence of diabetes, levels of other liver enzymes, and alcohol consumption level did not show significant effect modification. In summary, elevated baseline GGT level was associated with an increased risk of hip fracture in postmenopausal women, independent of alcohol consumption and chronic liver disease.
Original language | English |
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Article number | 13947 |
Journal | Scientific reports |
Volume | 12 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2022 Dec |
Bibliographical note
Funding Information:The authors thank the participants of the Korean Health Insurance Cohort study and the National Health Insurance Service who developed the NHIS-HEALS (2002-15) database. We also thank the SENTINEL (Severance Endocrinology Data Science Platform) team for the assistance in data management and statistical analysis, which was funded by the 2020Research Fund of the Department of Internal Medicine, Severance Hospital, Seoul, South Korea (4-2018-1215; DUCD000002).
Funding Information:
The authors thank the participants of the Korean Health Insurance Cohort study and the National Health Insurance Service who developed the NHIS-HEALS (2002-15) database. We also thank the SENTINEL (Severance Endocrinology Data Science Platform) team for the assistance in data management and statistical analysis, which was funded by the 2020Research Fund of the Department of Internal Medicine, Severance Hospital, Seoul, South Korea (4-2018-1215; DUCD000002).
Publisher Copyright:
© 2022, The Author(s).
All Science Journal Classification (ASJC) codes
- General