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Related Experiment Videos

Determinants of single limb stance balance performance.

J A Balogun1, L O Ajayi, F Alawale

  • 1Department of Medical Rehabilitation, Obafemi Awolowo University, Ile-Ife, Nigeria.

African Journal of Medicine and Medical Sciences
|August 24, 1999
PubMed
Summary

This study found that males, physically active individuals, and older subjects with greater height and weight exhibit better single limb stance balance. Exercise programs can enhance balance performance.

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Area of Science:

  • Biomechanics and Kinesiology
  • Human Performance and Physiology

Background:

  • Single limb stance balance is crucial for daily activities and injury prevention.
  • Factors influencing balance, such as gender, physical activity, age, and anthropometry, require further investigation in diverse populations.

Purpose of the Study:

  • To evaluate the impact of gender, physical activity level, age, and anthropometric indices on single limb stance balance performance in asymptomatic individuals.
  • To establish the validity of a single limb stance time testing protocol for screening and clinical monitoring.

Main Methods:

  • A cross-sectional study involving 200 asymptomatic subjects (100 males, 100 females; age 12-40 years) from the Ile-Ife community.
  • Subjects were categorized by physical activity level (80 physically active, 120 sedentary).

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  • Maximum single limb stance duration was measured with eyes open and eyes closed on the dominant leg.

    • Main Results:

    • Males demonstrated significantly higher balance times than females (P < 0.01).
    • Physically active subjects outperformed sedentary subjects in the eyes-closed balance test (P < 0.001).
    • Balance time, both eyes open and closed, positively correlated with chronological age, height, and body weight.

    Conclusions:

    • Gender, physical activity, age, and anthropometric factors significantly influence single limb stance balance.
    • Exercise programs show potential for improving balance performance.
    • The single limb stance time test is a viable tool for population-based screening of balance dysfunction and for monitoring neuromuscular rehabilitation.