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<p>Parkinson’s disease is a&#xa0;progressive brain disorder affecting males 1.5&#xa0;times more than females. The motor progression is observed to be more aggressive in males; however, this progression is not evaluated in terms of sex to a&#xa0;great extent. The present study examines gait parameters in both male and female participants from control and patient groups. The data of 166 participants (99&#xa0;males and 67&#xa0;females) are analyzed to reduce the number of variables and data dimensions in the spatio-temporal featured subspace. The study identifies significant parameters for males and females across six gait variables: stance time (ST), swing time (SWT), stride time (SDT), stance time variability (STV), swing time variability (SWTV), and stride time variability (SDTV). PCA, i.e., Principal Component Analysis, is used to achieve the aforementioned purpose. This data shows that males have more stance, swing, and stride time than females in the control category. When it comes to the PD group, females have approximate stance and stride time compared to males, with more variability in gait patterns. These findings are consistent with greater variability in spatiotemporal parameters in females, leading to personalized assessment.</p>

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Variations in gait patterns in women and men with Parkinson’s disease

  • 期刊论文

  • 发表日期：

    2024年1月1日

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  • Pooja Sharma,
  • Karan Veer

摘要

Parkinson’s disease is a progressive brain disorder affecting males 1.5 times more than females. The motor progression is observed to be more aggressive in males; however, this progression is not evaluated in terms of sex to a great extent. The present study examines gait parameters in both male and female participants from control and patient groups. The data of 166 participants (99 males and 67 females) are analyzed to reduce the number of variables and data dimensions in the spatio-temporal featured subspace. The study identifies significant parameters for males and females across six gait variables: stance time (ST), swing time (SWT), stride time (SDT), stance time variability (STV), swing time variability (SWTV), and stride time variability (SDTV). PCA, i.e., Principal Component Analysis, is used to achieve the aforementioned purpose. This data shows that males have more stance, swing, and stride time than females in the control category. When it comes to the PD group, females have approximate stance and stride time compared to males, with more variability in gait patterns. These findings are consistent with greater variability in spatiotemporal parameters in females, leading to personalized assessment.