Age is just a number: Clustering gait and functional measures

Area of Science:

• Gerontology
• Biomechanics
• Human Movement Science

Background:

• Aging is associated with decreased walking speed, but individual consistency is unclear.
• Current clinical assessments often stratify function by age, potentially masking individual differences.
• Age-based stratification may obscure variations in functional capacity within age groups.

Purpose of the Study:

• To determine if functional movement patterns can be identified by clustering spatiotemporal data without using age as a primary factor.
• To investigate if distinct functional groups exist independent of chronological age.
• To challenge the assumption that age is the primary determinant of functional decline.

Main Methods:

• Utilized data from the 1000 Norms Project, a cross-sectional study of 695 participants aged 18-92 years.
• Collected gait, functional performance, and self-reported health data.
• Clustered dimensionless spatiotemporal and functional parameters.

Main Results:

• Identified three distinct functional clusters: 'higher functioning', 'age average', and 'cautious gait'.
• These clusters differed significantly in spatiotemporal, functional performance, strength, and quality of life measures.
• Walking speed (Froude number) did not differ between clusters, highlighting functional differences independent of speed and age range.

Conclusions:

• Age should not be the sole factor for grouping individuals based on functional movement ability.
• The assumption that 'age matters' may be irrelevant for assessing true functional capacity.
• Further research is needed to understand normal aging, functional loss, and reversibility within identified functional groups.