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Is There a Pathologic Running Motion Associated with Running-Related Injuries? A Methodological Study Using a Motion Analysis System Without Sensors.
Nam, Hyok Woo; Yang, Jae Hyuk; Park, Seul Gi; Rhim, Hye Chang; Kim, Hong Jin.
Affiliation
  • Nam HW; Nam's Orthopedic Running Clinic, 494, Yongmasan-ro, Jungnang-gu, Seoul 02182, Republic of Korea.
  • Yang JH; Department of Orthopedic Surgery, Korea University Anam Hospital, College of Medicine, Korea University, Seoul 02841, Republic of Korea.
  • Park SG; Department of Orthopedic Surgery, Korea University Anam Hospital, College of Medicine, Korea University, Seoul 02841, Republic of Korea.
  • Rhim HC; Department of Physical Medicine and Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston, MA 02141, USA.
  • Kim HJ; Department of Orthopedic Surgery, Inje University Sanggye Paik Hospital, Seoul 01757, Republic of Korea.
Medicina (Kaunas) ; 60(8)2024 Jul 31.
Article in En | MEDLINE | ID: mdl-39202530
ABSTRACT
(1) Background and

objectives:

Running-related injuries (RRIs) are commonly attributed to improper running posture and overuse. This study aims to analyze the running motions of individuals with and without RRIs using a sensor-free method, which offers a user-friendly and straightforward approach. (2) Materials and

Methods:

A total of 155 runners were divided into two groups the normal runner group (runners who had never been injured, n = 50) and the RRI group (runners who had experience at least one injury while running, n = 105). The forward head posture (FHP), trunk lean, hip rotation, horizontal movement of the center of gravity (COG), vertical movement of the COG, pelvic rotation, hip hike, and type of strike were measured for posture analysis. (3)

Results:

We found that the left-right balance of the pelvis and the spinal posture during running were associated with RRIs. The difference in hip hike and FHP emerged as key predictors of running-related musculoskeletal injury occurrence from our logistic regression analysis. (4)

Conclusions:

Identifying pathological movements in runners through running motion analysis without the use of sensors can be instrumental in the prevention and treatment of RRIs.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Running Limits: Adult / Female / Humans / Male / Middle aged Language: En Journal: Medicina (Kaunas) Journal subject: MEDICINA Year: 2024 Document type: Article Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Running Limits: Adult / Female / Humans / Male / Middle aged Language: En Journal: Medicina (Kaunas) Journal subject: MEDICINA Year: 2024 Document type: Article Country of publication: Switzerland