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Demonstrates the effectiveness of the WGF algorithm in identifying fall risk in older adults, suggesting tailored prevention strategies are needed.
Operationalizing the WGF algorithm with KQ substantially increases intermediate fall risk identification compared to FH alone. Based on national population estimates, approximately 3.5 million older Brazilian adults may be at high risk of falls. Within-country regional disparities reinforce the need for tailored strategies to address contextual differences in fall prevention.
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Avelar et al. (2026) studied this question.
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