Development of a portable fall risk index for elderly people living in the community

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  • 転倒リスク予測のための「転倒スコア」の開発と妥当性の検証
  • テントウ リスク ヨソク ノ タメ ノ テントウ スコア ノ カイハツ ト ダトウセイ ノ ケンショウ

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Abstract

Aim: To develop a portable risk index for falls.<br>Methods: Risk factors were chosen from previously established factors then we added several environmental factors to the risk index; previous falls in the last 12 month, trippig or stumbling, inability to ascend or descend stairs without help, decreased walking speed, inability to cross a road within the green signal interval, inability to walk 1km without a break, inability to stand on one leg for 5 seconds (eyes open), using a cane, inability to wring out a towel, dizziness or faintness, stooped or rounded back, knee joint pain, visual disturbance, hearing disturbance, cognitive decline, fear of falling, receiving 5 or more prescribed drugs, sensation of darkness at home, obstacles inside, barrier on the carpet or floor, using steps daily at home, steep slopes around home.<br>Subjects: The questionnaire sheet was completed by 2, 439 community-dwelling elderly subjects (76.3±7.4 years old). The frequency of each items of fall risk index was compared between fallers (history of fall within one year) and non-fallers. Multiple regression analysis was performed to identify independent risk factors for previous falls.<br>Results: Except barrier, step use and steep slope around home, all items in the fall risk index were more frequent in fallers.<br>Multivariate analysis revealed that tripping or stumbling, inability to cross a road within the green signal interval, dizziness or faintness, obstacles inside, inability to wring out a towel, cane use and knee joint pain were independent risk factors for previous falls.<br>These 7 selected items were further analyzed as predictors. The maximum sum of sensitivity and specificity was reached at the cut-off point of 2/3 (sensitivity 0.65, specificity 0.72) by receiver operating curve.<br>Conclusion: Portable fall risk index is useful for clinical settings to identify high-risk subjects.

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