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Normative data for the functional movement screen in middle-aged adults.

Fraser T Perry1, Michael S Koehle

  • 1Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.

Journal of Strength and Conditioning Research
|May 8, 2012
PubMed
Summary
This summary is machine-generated.

This study provides normative reference values for the Functional Movement Screen (FMS) in middle-aged adults. Higher exercise participation correlated with better FMS scores, while increased BMI and age were linked to lower scores.

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Area of Science:

  • Sports Medicine
  • Kinesiology
  • Physical Therapy

Background:

  • The Functional Movement Screen (FMS) is a valuable tool for assessing movement quality and identifying asymmetries.
  • Clinical application of the FMS is hindered by a lack of established normative data for diverse populations.
  • Middle-aged adults represent a key demographic for whom FMS data is currently limited.

Purpose of the Study:

  • To establish normative reference values for the 7-Point Functional Movement Screen (FMS) in a healthy, middle-aged adult population.
  • To investigate the influence of age, body mass index (BMI), exercise participation, and Balance Error Scoring System (BESS) scores on FMS performance.
  • To provide a benchmark for clinical interpretation of FMS results in this demographic.

Main Methods:

  • A cross-sectional study involving 622 healthy middle-aged adults.
  • Assessment of participants using the 7-Point Functional Movement Screen (FMS).
  • Collection of data on age, body mass index (BMI), exercise participation levels, and Balance Error Scoring System (BESS) scores.

Main Results:

  • Normative reference values for the FMS were established for healthy, middle-aged adults.
  • Higher levels of exercise participation were significantly associated with higher FMS scores.
  • Increased age and higher BMI were significantly associated with lower FMS scores.
  • A significant difference in FMS scores was observed between individuals with high (>30) and moderate BMIs (F[621] = 33.98, p < 0.0001).

Conclusions:

  • The established normative reference values enhance the clinical utility of the FMS for middle-aged adults.
  • Factors such as exercise habits, BMI, and age significantly impact FMS performance.
  • These findings support the use of the FMS in clinical settings to identify functional limitations and guide interventions across a wide age range.