Exploring gait velocity as a predictor of cardiometabolic disease risk in young adults.

Front Sports Act Living

School of Kinesiology and Nutrition, The University of Southern Mississippi, Hattiesburg, MS, United States.

Published: March 2024

AI Article Synopsis

  • Poor gait and functional movement are linked to metabolic syndrome (MetS) in older adults, but this relationship hasn't been clearly established in younger adults, even as MetS cases rise in that group.
  • A study measured MetS and gait velocity in 21 young adults, finding significant correlations: increased MetS scores were associated with slower gait velocity and altered gait patterns.
  • The findings suggest that monitoring gait velocity could serve as an easy indicator of MetS risk in younger adults, which might help in addressing the growing prevalence of MetS through early intervention strategies.

Article Abstract

Background: The association between poor gait and functional movement ability and metabolic syndrome (MetS) has been well established in older adults. A continuous cardiometabolic risk score, MetS, may more easily identify individuals at risk for cardiometabolic disease who do not yet meet the stringent criteria for a formal MetS diagnosis. Although the association between MetS and gait velocity is well established in older adults, no such relationship has been identified in younger adults; a group experiencing a rapid increase in the development of MetS.

Methods: MetS was determined for 21 young adults using standard procedures. Gait velocity was measured as participants completed a ten-meter walk test. Spatiotemporal parameters of gait were also derived using a motion capture system. Simple linear regression was used to determine the relationship between MetS and gait velocity, as well as MetS and spatiotemporal parameters of gait.

Results: There was a large inverse relationship between MetS and gait velocity. A large inverse relationship was also observed between MetS and cadence, and a large positive relationship was observed between stance time and double limb support time.

Conclusions: Gait velocity slows in young adults who do not necessarily meet the criterion for positive diagnosis of MetS-but demonstrate an increased risk for MetS and cardiovascular disease through higher MetS scores. The mechanism underlying reduced gait velocity may be fewer, but not shorter steps. Determining easy-to-use surrogates of MetS (e.g., gait velocity) may help combat the growing prevalence of MetS by increasing access to preventative approaches.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10955704PMC
http://dx.doi.org/10.3389/fspor.2024.1365717DOI Listing

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