{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/98386"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/98386","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"The assessment of standing balance with smartphone technology for the prevention of falls in older adults","abstract":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2017-09-29 without embargo terms","abstract_html":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2017-09-29 without embargo terms","abstract_has_math":false,"creators":["Roeing, Kathleen L."],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Kinesiology","degree_department":null,"school":null,"contributors":["Sosnoff, Jacob J."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2017,"date_issued":"2017-09-29T17:56:47Z","date_published":"2017-09-29T17:56:47Z","updated_at":"2026-07-22T22:24:35Z","subjects":["Falls","Older adults"],"languages":["en"],"rights":["Copyright 2017 Kathleen Roeing"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/98386","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Sosnoff, Jacob J."]},{"key":"dc:creator","label":"Author","values":["Roeing, Kathleen L."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2017-09-29T17:56:47Z","2017-07-17","2017-08"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Kinesiology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Falls","Older adults"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2017 Kathleen Roeing"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/98386"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2017-09-29 without embargo terms","The student, Kathleen Roeing, accepted the attached license on 2017-07-13 at 09:21.","The student, Kathleen Roeing, submitted this Thesis for approval on 2017-07-13 at 09:31.","One in three adults over the age of 65 will fall in a year, and falls are the leading cause of accidental injury and injury related deaths in this population. Preventative measures to reduce falls include multifactorial fall risk assessments. Balance impairment is routinely used as a measure of fall risk. However, balance assessments require expensive research-grade equipment or clinical expertise. Mobile devices, such as smartphones, provide a potential platform for accessible and inexpensive fall risk assessments. Prior to being implemented in the fall prevention strategies, the concurrent validity, reliability, and usability of such devices needs to be established. The purpose of this thesis was to determine the concurrent validity of a novel smartphone based balance assessment application. Concurrent validity of the novel smartphone balance application was determined by comparing its ability to distinguish the standing balance of young healthy adults (n=15), older adults with low fall risk (as determined by the physiological profile assessment; n=13), and older adults with high fall risk (as determined by the physiological profile assessment; n=17) to the gold standard (force platform). The application was tested under seven different static balance conditions. Repeated measures ANOVAs were used to determine differences between groups on both force platform and smartphone measures. Spearman rank-order correlations were used to evaluate the relationship between force platform and smartphone measures. The Berg Balance Scale, Force platform measures (MVAP and MVRAD), and smartphone measures (Max Accel Y and RMS X) were able to distinguish between low risk and high risk older adults (p≤.05). Spearman rank-order correlations demonstrated 32 moderate correlations (.5≤ρ≤.7) and 9 strong correlations (ρ≥.7) between force platform and smartphone measures. Eight high fall risk older adults were unable to complete all balance conditions, of those five were unable to complete multiple balance conditions. Differences in failure rates were significant between low fall risk older adults and high fall risk older adults. Despite the positive failure rates, no adverse events were recorded. Future research should evaluate additional smartphone accelerometry measures’ ability to distinguish between fallers and non-fallers. It is concluded that smartphone based measures of balance are valid, and safe in older adults.","This Thesis was approved for publication on 2017-07-17 at 14:24.","DSpace SAF Submission Ingestion Package generated from Vireo submission #11449 on 2017-09-29 at 11:30:06","Made available in DSpace on 2017-09-29T17:56:47Z (GMT). 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The submission was exported from vireo on 2017-09-29 without embargo terms","The student, Kathleen Roeing, accepted the attached license on 2017-07-13 at 09:21.","The student, Kathleen Roeing, submitted this Thesis for approval on 2017-07-13 at 09:31.","One in three adults over the age of 65 will fall in a year, and falls are the leading cause of accidental injury and injury related deaths in this population. Preventative measures to reduce falls include multifactorial fall risk assessments. Balance impairment is routinely used as a measure of fall risk. However, balance assessments require expensive research-grade equipment or clinical expertise. Mobile devices, such as smartphones, provide a potential platform for accessible and inexpensive fall risk assessments. Prior to being implemented in the fall prevention strategies, the concurrent validity, reliability, and usability of such devices needs to be established. The purpose of this thesis was to determine the concurrent validity of a novel smartphone based balance assessment application. Concurrent validity of the novel smartphone balance application was determined by comparing its ability to distinguish the standing balance of young healthy adults (n=15), older adults with low fall risk (as determined by the physiological profile assessment; n=13), and older adults with high fall risk (as determined by the physiological profile assessment; n=17) to the gold standard (force platform). The application was tested under seven different static balance conditions. Repeated measures ANOVAs were used to determine differences between groups on both force platform and smartphone measures. Spearman rank-order correlations were used to evaluate the relationship between force platform and smartphone measures. The Berg Balance Scale, Force platform measures (MVAP and MVRAD), and smartphone measures (Max Accel Y and RMS X) were able to distinguish between low risk and high risk older adults (p≤.05). Spearman rank-order correlations demonstrated 32 moderate correlations (.5≤ρ≤.7) and 9 strong correlations (ρ≥.7) between force platform and smartphone measures. Eight high fall risk older adults were unable to complete all balance conditions, of those five were unable to complete multiple balance conditions. Differences in failure rates were significant between low fall risk older adults and high fall risk older adults. Despite the positive failure rates, no adverse events were recorded. Future research should evaluate additional smartphone accelerometry measures’ ability to distinguish between fallers and non-fallers. It is concluded that smartphone based measures of balance are valid, and safe in older adults.","This Thesis was approved for publication on 2017-07-17 at 14:24.","DSpace SAF Submission Ingestion Package generated from Vireo submission #11449 on 2017-09-29 at 11:30:06","Made available in DSpace on 2017-09-29T17:56:47Z (GMT). No. of bitstreams: 2 ROEING-THESIS-2017.pdf: 1130226 bytes, checksum: c4f6f4eb9382d40f78ddb9e9268eacf8 (MD5) LICENSE.txt: 4212 bytes, checksum: 362e3478e92fc7a88da787585e401988 (MD5) Previous issue date: 2017-07-17"],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/98386"],"dc:language":["en"],"dc:rights":["Copyright 2017 Kathleen Roeing"],"dc:subject":["Falls","Older adults"],"dc:title":["The assessment of standing balance with smartphone technology for the prevention of falls in older adults"],"dc:type":["text"],"thesis:degree_discipline":["Kinesiology"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:35Z"}