{"doi":"10.1002/trc2.12131","title":"Continuous gait monitoring discriminates community‐dwelling mild Alzheimer's disease from cognitively normal controls","abstract":"INTRODUCTION: Few studies have explored whether gait measured continuously within a community setting can identify individuals with Alzheimer's disease (AD). This study tests the feasibility of this method to identify individuals at the earliest stage of AD. METHODS: Mild AD (n = 38) and cognitively normal control (CNC; n = 48) participants from the University of Kansas Alzheimer's Disease Center Registry wore a GT3x+ accelerometer continuously for 7 days to assess gait. Penalized logistic regression with repeated five-fold cross-validation followed by adjusted logistic regression was used to identify gait metrics with the highest predictive performance in discriminating mild AD from CNC. RESULTS: Variability in step velocity and cadence had the highest predictive utility in identifying individuals with mild AD. Metrics were also associated with cognitive domains impacted in early AD. DISCUSSION: Continuous gait monitoring may be a scalable method to identify individuals at-risk for developing dementia within large, population-based studies.","journal":"Alzheimer s & Dementia Translational Research & Clinical Interventions","year":2021,"id":166539,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":33,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8776,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":673957,"name":"Rahul Ghosal","orcid":"0000-0003-0939-4731","position":1,"is_corresponding":false},{"id":674668,"name":"Inbar Hillel","orcid":null,"position":2,"is_corresponding":false},{"id":424711,"name":"Dmitri Volfson","orcid":"0000-0002-5167-7834","position":3,"is_corresponding":false},{"id":48759,"name":"Jordan Weiss","orcid":"0000-0002-0392-3535","position":4,"is_corresponding":false},{"id":381541,"name":"Jacek Urbanek","orcid":"0000-0002-1890-8899","position":5,"is_corresponding":false},{"id":233010,"name":"Jeffrey M. Hausdorff","orcid":"0000-0002-1608-0776","position":6,"is_corresponding":false},{"id":490122,"name":"Vadim Zipunnikov","orcid":"0000-0001-9864-2420","position":7,"is_corresponding":false},{"id":640104,"name":"Amber Watts","orcid":"0000-0002-8385-1091","position":8,"is_corresponding":false},{"id":254757,"name":"Vijay R. Varma","orcid":"0000-0001-7143-7726","position":0,"is_corresponding":true}],"reference_count":49,"raw_metadata":null,"created_at":"2026-07-18T23:45:49.644768Z","pmid":"33598530","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}