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Published on: 8/20/2026
Doctors diagnose abnormal gait patterns through a combination of visual observation and specialized diagnostic tools that measure movement, balance, and coordination. Common types of abnormal gait include:
Each pattern points to specific underlying medical conditions, ranging from musculoskeletal injuries to neurological disorders.
If you've noticed changes in how you or a loved one walks, don't wait to find answers. Understanding the cause of an abnormal gait early can make a significant difference in treatment outcomes and quality of life. Take a free, instant, online symptom check to explore possible causes based on your specific symptoms and get clear guidance on next steps—it only takes a few minutes and could help you have a more informed conversation with your doctor.
Reviewed for medical accuracy: 07/15/2026
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Medical professionals begin by observing a person's walking pattern, studying their steps and body movements. They may supplement these observations with specialized equipment—cameras, sensors, and computer software—to measure specific aspects like step length, speed, and joint angles. They document characteristics including uneven weight distribution, reduced step length, and irregular knee and hip movements.
By comparing these features to established patterns, clinicians can identify specific gait types, including "shuffling," "Parkinsonian," and "ataxic," among others. If you're experiencing unusual walking patterns or related symptoms, you can take a free symptom checker test to help identify potential concerns before consulting with a healthcare provider. Based on this classification, doctors can identify underlying causes and create targeted treatment and therapy plans.
(References)
Sienko Thomas S, Buckon CE, Nicorici A, Bagley A, McDonald CM, Sussman MD. Classification of the gait patterns of boys with Duchenne muscular dystrophy and their relationship to function. J Child Neurol. 2010 Sep;25(9):1103-9. doi: 10.1177/0883073810371002. Epub 2010 Jun 29. PMID: 20587736; PMCID: PMC3794706.
Kyeong S, Kim SM, Jung S, Kim DH. Gait pattern analysis and clinical subgroup identification: a retrospective observational study. Medicine (Baltimore). 2020 Apr;99(15):e19555. doi: 10.1097/MD.0000000000019555. PMID: 32282704; PMCID: PMC7440325.
Tsitlakidis S, Horsch A, Schaefer F, Westhauser F, Goetze M, Hagmann S, Klotz MCM. Gait Classification in Unilateral Cerebral Palsy. J Clin Med. 2019 Oct 11;8(10):1652. doi: 10.3390/jcm8101652. PMID: 31614496; PMCID: PMC6832635.
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