{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:17:59Z","timestamp":1760239079118,"version":"build-2065373602"},"reference-count":22,"publisher":"MDPI AG","issue":"19","license":[{"start":{"date-parts":[[2020,9,29]],"date-time":"2020-09-29T00:00:00Z","timestamp":1601337600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Gait quality characteristics obtained from accelerometry during daily life are predictive of falls in older people but it is unclear how they relate to fall risk. Our aim was to test whether these gait quality characteristics are associated with the severity of fall risk. We collected one week of trunk accelerometry data from 279 older people (aged 65\u201395 years; 69.5% female). We used linear regression to investigate the association between six daily-life gait quality characteristics and categorized physiological fall risk (QuickScreen). Logarithmic rate of divergence in the vertical (VT) and anteroposterior (AP) direction were significantly associated with the level of fall risk after correction for walking speed (both p &lt; 0.01). Sample entropy in VT and the mediolateral direction and the gait quality composite were not significantly associated with the level of fall risk. We found significant differences between the high fall risk group and the very low- and low-risk groups, the moderate- and very low-risk and the moderate and low-risk groups for logarithmic rate of divergence in VT and AP (all p \u2264 0.01). We conclude that logarithmic rate of divergence in VT and AP are associated with fall risk, making them feasible to assess the physiological fall risk in older people.<\/jats:p>","DOI":"10.3390\/s20195580","type":"journal-article","created":{"date-parts":[[2020,9,29]],"date-time":"2020-09-29T08:43:27Z","timestamp":1601369007000},"page":"5580","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Association between Daily-Life Gait Quality Characteristics and Physiological Fall Risk in Older People"],"prefix":"10.3390","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2818-8909","authenticated-orcid":false,"given":"Sabine","family":"Schootemeijer","sequence":"first","affiliation":[{"name":"Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Van der Boechorststraat 7, 1081 BT Amsterdam, The Netherlands"},{"name":"Department of Neurology, Center of Expertise for Parkinson &amp; Movement Disorders, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5912-6001","authenticated-orcid":false,"given":"Roel H.A.","family":"Weijer","sequence":"additional","affiliation":[{"name":"Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Van der Boechorststraat 7, 1081 BT Amsterdam, The Netherlands"},{"name":"Department of Neurology, Leiden University Medical Center, 2300 RC Leiden, The Netherlands"}]},{"given":"Marco J.M.","family":"Hoozemans","sequence":"additional","affiliation":[{"name":"Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Van der Boechorststraat 7, 1081 BT Amsterdam, The Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0902-8440","authenticated-orcid":false,"given":"Kimberley S.","family":"van Schooten","sequence":"additional","affiliation":[{"name":"Falls, Balance and Injury Research Centre, Neuroscience Research Australia, University of New South Wales, Sydney, NSW 2031, Australia"},{"name":"School of Public Health and Community Medicine, Faculty of Medicine, University of New South Wales, Sydney, NSW 2033, Australia"}]},{"given":"Kim","family":"Delbaere","sequence":"additional","affiliation":[{"name":"Falls, Balance and Injury Research Centre, Neuroscience Research Australia, University of New South Wales, Sydney, NSW 2031, Australia"},{"name":"School of Public Health and Community Medicine, Faculty of Medicine, University of New South Wales, Sydney, NSW 2033, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8416-2602","authenticated-orcid":false,"given":"Mirjam","family":"Pijnappels","sequence":"additional","affiliation":[{"name":"Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Van der Boechorststraat 7, 1081 BT Amsterdam, The Netherlands"}]}],"member":"1968","published-online":{"date-parts":[[2020,9,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"9","DOI":"10.2147\/CEOR.S38721","article-title":"Epidemiology of falls and osteoporotic fractures: A systematic review","volume":"5","author":"Weisenfluh","year":"2012","journal-title":"Clin. 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