Regression analysis of gait parameters and mobility measures in a healthy cohort for subject-specific normative values

• Published in: PloS one Vol. 13; no. 6; p. e0199215
• Main Authors: Mikos, Val, Yen, Shih-Cheng, Tay, Arthur, Heng, Chun-Huat, Chung, Chloe Lau Ha, Liew, Sylvia Hui Xin, Tan, Dawn May Leng, Au, Wing Lok
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 18.06.2018; Public Library of Science (PLoS)
• Subjects: Adult; Age; Aged; Aged, 80 and over; Analysis; Ankle; Ankle - physiology; Anthropometry; Biology and Life Sciences; Biomechanics; Body mass; Body measurements; Computer and Information Sciences; Computer engineering; Correlation analysis; Data reduction; Dispersion; Female; Gait; Gait - physiology; Gait recognition; Gender; Gerontology; Healthy Volunteers; Humans; Independent variables; Linear Models; Male; Medicine and Health Sciences; Middle Aged; Mobility; Monitoring systems; Motion; Older people; Parameters; Parkinson's disease; Patients; Physical Sciences; Physical therapy; Posture; Regression analysis; Regression models; Research and Analysis Methods; Studies; Walking; Walking - physiology; Walking Speed - physiology; Singapore

Deviation in gait performance from normative data of healthy cohorts is used to quantify gait ability. However, normative data is influenced by anthropometry and such differences among subjects impede accurate assessment. De-correlation of anthropometry from gait parameters and mobility measures is...