{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,27]],"date-time":"2026-10-27T18:08:16Z","timestamp":1793124496800,"version":"4.5.0"},"reference-count":71,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2022,11,13]],"date-time":"2022-11-13T00:00:00Z","timestamp":1668297600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003725","name":"Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education","doi-asserted-by":"publisher","award":["2021R1A6A1A03040177"],"award-info":[{"award-number":["2021R1A6A1A03040177"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Medicina"],"abstract":"<jats:p>Background and Objectives: Previous studies have revealed that independent variables (lower extremity strength, postural control ability, and body composition) influence gait performance and variability, but the difference in the relative influence between these variables is unclear. Hence, this study determines the variable that is the most influential predictor of gait performance and variability among potential independent variables in the elderly. Materials and Methods: Seventy-eight subjects aged \u226560 years participated. For each subject, the gait variables and lower extremity muscle strength were measured using an accelerometer worn on both feet during a 6-minute walk and a manual force sensor, respectively. The static balance ability was measured through two force plates, and the body composition was measured by applying bioelectrical impedance analysis. Linear regression analyses were performed stepwise to determine whether these variables affect gait performance and variability. Results: After adjusting for sex and gait performance, the ankle strength, body fat mass, mean velocity in the medial\u2013lateral direction, ankle plantar flexion strength, and girth were predictors of gait speed dorsiflexion, gait performance, swing width of the gait performance, walking speed, and gait variability, respectively. Conclusions: Overall, gait performance in the elderly is related to muscle strength, postural control, and body composition in a complex manner, but gait variability appears to be more closely related to ankle muscle strength. This study provides further evidence that muscle strength is important in motor function and stability.<\/jats:p>","DOI":"10.3390\/medicina58111640","type":"journal-article","created":{"date-parts":[[2022,11,14]],"date-time":"2022-11-14T02:32:01Z","timestamp":1668393121000},"page":"1640","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Determination of the Predictors with the Greatest Influence on Walking in the Elderly"],"prefix":"10.3390","volume":"58","author":[{"given":"Chul-Min","family":"Chung","sequence":"first","affiliation":[{"name":"Research Institute of Human Ecology, Yeungnam University, Gyeongsan 38541, Republic of Korea"},{"name":"Neuromuscular Control Laboratory, Yeungnam University, Gyeongsan 38541, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5355-2157","authenticated-orcid":false,"given":"Sunghoon","family":"Shin","sequence":"additional","affiliation":[{"name":"Research Institute of Human Ecology, Yeungnam University, Gyeongsan 38541, Republic of Korea"},{"name":"Neuromuscular Control Laboratory, Yeungnam University, Gyeongsan 38541, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3862-1879","authenticated-orcid":false,"given":"Yungon","family":"Lee","sequence":"additional","affiliation":[{"name":"Research Institute of Human Ecology, Yeungnam University, Gyeongsan 38541, Republic of Korea"},{"name":"Neuromuscular Control Laboratory, Yeungnam University, Gyeongsan 38541, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0886-1713","authenticated-orcid":false,"given":"Do-Youn","family":"Lee","sequence":"additional","affiliation":[{"name":"Research Institute of Human Ecology, Yeungnam University, Gyeongsan 38541, Republic of Korea"},{"name":"Neuromuscular Control Laboratory, Yeungnam University, Gyeongsan 38541, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"M303","DOI":"10.1093\/gerona\/51A.6.M303","article-title":"Step length reductions in advanced age: The role of ankle and hip kinetics","volume":"51","author":"JudgeRoy","year":"1996","journal-title":"J. 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