Fullerton Advanced Balance Scale (FAB): Assessing Balance
Designed for active older adults, the Fullerton Advanced Balance Scale allows clinicians to assess balance through movement tasks. It identifies fall risks that standard tests often overlook.

Fullerton Advanced Balance Scale (FAB)
The Fullerton Advanced Balance Scale (FAB) assesses static and dynamic balance in higher-functioning older adults. Designed to identify fall risks that other tests might miss, it involves ten specific tasks. This tool helps clinicians create better prevention plans for active seniors.
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Disease
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What is Fullerton Advanced Balance Scale (FAB)
The Fullerton Advanced Balance Scale (FAB) is a key tool for checking balance in active older adults. It spots fall risks that easier tests often miss. This assessment uses ten physical tasks to challenge the sensory systems. Unlike basic screens, the scale pushes patients to show how they handle changing environments. Items include standing on foam, jumping, and tandem walking. Clinicians score each task from zero to four based on performance quality and time taken. A total score out of forty gives a clear picture of stability and helps track progress over time. It is ideal for patients who max out on the Berg Balance Scale but still have hidden balance issues. The test takes about ten minutes and needs minimal gear like a stopwatch and foam pad. It works well in clinics or rehab centres to guide treatment plans and keep seniors safe on their feet.
The Fullerton Advanced Balance Scale can be scored using one main approach: a cumulative point system. You'll assess ten specific performance tasks involving static and dynamic balance activities. Each item gets rated on a 5 point ordinal scale ranging from 0, meaning unable to perform, to 4, indicating perfect execution. Simply add these up to get a total score out of 40 points. Higher numbers suggest better balance capabilities, while scores below 25 generally flag a higher risk of falling. It's a handy way to spot balance issues in active seniors before a tumble happens.
Advantages
Enables precise identification of patient health status.
Develops personalised strategies based on assessment data.
Streamlines research data gathering process.
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