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<p>Walking with luggage is a common daily activity. While its effects on gait and posture have been explored, most findings are based on laboratory measurements rather than real-world conditions. This cross-sectional study aimed to investigate the effects of walking with luggage on gait and posture in everyday environments using an in-shoe motion sensor system. Gait parameters of 26 healthy, pain-free young adults were assessed over a 10-minute period under four conditions: no luggage, using a backpack, a shoulder bag, and a crossbody bag. Gait data were recorded at 2-minute intervals using an in-shoe motion sensor system. The averages of the valid right and left gait measurements were automatically calculated. Data were analyzed by comparing mean values and symmetry indices. There were differences in stance time, pushing time, cadence, and walking speed between mean values of each luggage. Asymmetry was most notable in pushing time and maximum swing-phase speed. Spatial parameters showed minimal variations. We concluded that the type of luggage carried can alter gait. Recognizing these differences may help prevent conditions, such as knee osteoarthritis, provide daily life guidance, and enhance overall well-being. Future research could expand these findings by considering various luggage weights and a broader age demographic.</p>

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Effect of luggage type on gait parameters using in-shoe motion sensors

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月25日

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  • Shota Suzuki,
  • Daiki Watanabe,
  • Hiroki Shimizu,
  • Kyoma Tanigawa,
  • Shione Kashiyama,
  • Shinichi Kawamoto,
  • Momoko Nagai-Tanima,
  • Tomoki Aoyama

摘要

Walking with luggage is a common daily activity. While its effects on gait and posture have been explored, most findings are based on laboratory measurements rather than real-world conditions. This cross-sectional study aimed to investigate the effects of walking with luggage on gait and posture in everyday environments using an in-shoe motion sensor system. Gait parameters of 26 healthy, pain-free young adults were assessed over a 10-minute period under four conditions: no luggage, using a backpack, a shoulder bag, and a crossbody bag. Gait data were recorded at 2-minute intervals using an in-shoe motion sensor system. The averages of the valid right and left gait measurements were automatically calculated. Data were analyzed by comparing mean values and symmetry indices. There were differences in stance time, pushing time, cadence, and walking speed between mean values of each luggage. Asymmetry was most notable in pushing time and maximum swing-phase speed. Spatial parameters showed minimal variations. We concluded that the type of luggage carried can alter gait. Recognizing these differences may help prevent conditions, such as knee osteoarthritis, provide daily life guidance, and enhance overall well-being. Future research could expand these findings by considering various luggage weights and a broader age demographic.