CHARACTERIZATION OF NOVEL ACCELEROMETER-MEASURED PHYSICAL ACTIVITY METRICS BY COGNITIVE STATUS IN OLDER ADULTS
2024

Physical Activity Metrics and Cognitive Status in Older Adults

Sample size: 166 publication Evidence: moderate

Author Information

Author(s): Cai Yurun, Snitz Beth, Cohen Ann

Primary Institution: University of Pittsburgh

Hypothesis

The study aims to characterize novel physical activity metrics among older adults with varying cognitive statuses.

Conclusion

The study found that novel physical activity metrics, particularly PA complexity, may be more sensitive in identifying adults at early stages of dementia.

Supporting Evidence

  • IWOC/SCC had fewer active bouts than NC (85.34 vs. 91.83, p=0.043).
  • IWOC/SCC had lower PA complexity than NC (52.57% vs. 64.33%, p=0.001).
  • MCI/AD had lower LTAC than NC (14.38 vs. 14.50, p=0.042).
  • MCI/AD had higher activity fragmentation than NC and IWOC/SCC (25.89% vs. 23.70%, p=0.035).
  • Each 1% higher in PA complexity was associated with 4% lower odds of IWOC/SCC compared to NC (OR=0.96, p=0.004).

Takeaway

This study looked at how active older people are and how it relates to their thinking skills. It found that some new ways to measure activity might help spot early signs of dementia.

Methodology

Participants wore accelerometers to measure physical activity and were classified based on cognitive status.

Participant Demographics

Mean age 65.3 years, 65.9% women.

Statistical Information

P-Value

p=0.004

Confidence Interval

95%CI:0.93-0.99

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1093/geroni/igae098.3476

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