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Case Reports
. 2021 Nov 12;18(22):11902.
doi: 10.3390/ijerph182211902.

Association between Osteoporosis and Previous Statin Use: A Nested Case-Control Study

Affiliations
Case Reports

Association between Osteoporosis and Previous Statin Use: A Nested Case-Control Study

So Young Kim et al. Int J Environ Res Public Health. .

Abstract

The relationship between statin use and osteoporosis is controversial; therefore, this study aimed to investigate this association. The ≥40-year-old population of the Korean National Health Insurance Service Health Screening Cohort was enrolled. The 68,592 osteoporosis patients were matched 1:1 with control participants for age, sex, income, and region of residence using propensity score matching. The histories of statin use for two years before the diagnosis of osteoporosis (index date) in the osteoporosis and control groups were compared using conditional/unconditional logistic regression. An increased number of days of statin use was not associated with osteoporosis (adjusted OR (aOR) = 0.97, 95% confidence interval (95% CI) = 0.94-1.00, p = 0.052). In the subgroup analyses, a large number of days of statin use was related to a reduced rate of osteoporosis in the <60-year-old female group, while the opposite was true in the ≥60-year-old female group. Both lipophilic and hydrophilic statins were related to a decreased rate of osteoporosis in the <60-year-old female group. Lipophilic statins, but not hydrophilic statins, were associated with an increased rate of osteoporosis in the ≥60-year-old female group. Statin use showed different associations in middle-aged and elderly women.

Keywords: cohort studies; hydroxymethylglutaryl-CoA reductase inhibitors; osteoporosis; risk factors.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
A schematic illustration of the participant selection process that was used in the present study. Of a total of 514,866 participants, 68,592 osteoporosis participants were matched 1:1 with 68,592 control participants for age, sex, income, and region of residence using propensity score matching. Abbreviation: BMI, body mass index.

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