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Original Study| Volume 22, ISSUE 10, P2177-2183.e10, October 2021

Fall-Associated Drugs in Community-Dwelling Older Adults: Results from the ActiFE Ulm Study

Published:January 28, 2021DOI:https://doi.org/10.1016/j.jamda.2020.12.032

      Abstract

      Objectives

      Many studies describing an association of drugs with falls focus mostly on drugs acting in the central nervous system. We aim to analyze the association of all drugs taken with falls in older adults.

      Design

      Prospective population-based study (ActiFE study).

      Setting and Participants

      A total of 1377 community-dwelling older adults with complete recording of falls and baseline information on drug intake.

      Methods

      Negative binomial regression was used to analyze the association of 34 drug classes with a 12-month incidence rate ratio (IRR) of falls adjusting for age, sex, comorbidities, gait speed, balance, chair rise, kidney function, liver disease, and smoking.

      Results

      Participants took a median 3 drugs (interquartile range 1, 5), with 34.5% (n = 469) having ≥5 drugs. The median IRR for a fall per person-year was overall 0.72 [95% confidence interval (CI) 0.60–0.83] and 2.22 (95% CI 1.90–2.53) among those who experienced ≥1 fall. The following drug classes showed significant associations: antiparkinsonian medication [IRR 2.68 (95% CI 1.59–4.51)], thyroid therapy [IRR 1.40 (95% CI 1.08–1.81)], and systemic corticosteroids [IRR 0.33 (95% CI 0.13–0.81)]. Among fall-risk-increasing drugs only antiepileptics [IRR 2.16 (95% CI 1.10–4.24)] and urologicals [IRR 2.47 (95% CI 1.33–4.59)] were associated with falls in those participants without a prior fall history at baseline.

      Conclusion and Implications

      Additional drug classes, such as antiparkinsonian medication, thyroid therapy, and systemic corticosteroids, might be associated with falls in older adults, possibly representing pharmacological effects on the musculoskeletal and central nervous systems. Further evaluations in larger study populations are recommended.

      Keywords

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