Smartphone-based gait analysis with rhythmic auditory cueing discriminates cognitive impairment stages in a resource-limited African setting.
Background Early cognitive impairment detection in sub-Saharan Africa is limited by few specialists, restricted testing and cultural barriers. Conventional dual-task paradigms may be unsuitable for low-literacy populations, whereas rhythmic auditory cueing (RAC) using familiar music may provide a cu...
| Publicado en: | Age & Ageing Vol. 55; no. 4; pp. 1 - 11 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Oxford University Press / USA
Apr2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=193500093&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 193500093 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00020729 AGA jtl: Age & Ageing issn: 00020729 maglogo: N pubinfo: dt: Apr2026 vid: 55 iid: 4 pid: 622 pub: Oxford University Press / USA artinfo: ui: 193500093 10.1093/ageing/afag098 ppf: 1 ppct: 10 formats: tig: atl: Smartphone-based gait analysis with rhythmic auditory cueing discriminates cognitive impairment stages in a resource-limited African setting. aug: au: Msigwa, Samwel Sylvester Mwombeki, Innocent Rwiza Mandari, Sadiki affil: The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Department of Neurology, Institute of Geriatric Neurology, Wenzhou, Zhejiang, ChinaDepartment of Psychiatry and Mental Health, University of Dodoma School of Medicine and Dentistry, Dodoma, Tanzania, United Republic of Tanzania Department of Psychiatry and Mental Health, University of Dodoma School of Medicine and Dentistry, Dodoma, Tanzania, United Republic of Tanzania su: Africa Music Executive function Analysis of variance Smartphones Prompts (Psychology) Mild cognitive impairment Data analysis Receiver operating characteristic curves Diagnosis Gait in humans Analysis of covariance Multivariate analysis Psychology of movement Cognition disorders Statistics Resource-limited settings Acoustic stimulation Dementia Sensitivity & specificity (Statistics) sug: subj: Music Executive function Analysis of variance Africa Smartphones Prompts (Psychology) Mild cognitive impairment Data analysis Receiver operating characteristic curves Diagnosis Gait in humans Analysis of covariance Multivariate analysis Psychology of movement Cognition disorders Statistics Resource-limited settings Acoustic stimulation Dementia Sensitivity & specificity (Statistics) keyword: body mass index procedure cell phones characteristics of gait cognitive impairment copyrightHolder:British Geriatrics Society copyrightYear:2026 dementia dual-task tests executive functioning gait gait analysis hip joint hip region https://dx.doi.org/10.1093/ageing/afag098 inLanguage:en length of stride during ambulation minimal cognitive impairment music older people publisher:Oxford University Press resource-limited settings rhythm rhythmic auditory cueing sameAs:https://pubmed.ncbi.nlm.nih.gov/41996564/ smartphone assessment body mass index procedure cell phones characteristics of gait cognitive impairment copyrightHolder:British Geriatrics Society copyrightYear:2026 dementia dual-task tests executive functioning gait gait analysis hip joint hip region https://dx.doi.org/10.1093/ageing/afag098 inLanguage:en length of stride during ambulation minimal cognitive impairment music older people publisher:Oxford University Press resource-limited settings rhythm rhythmic auditory cueing sameAs:https://pubmed.ncbi.nlm.nih.gov/41996564/ smartphone assessment ab: Background Early cognitive impairment detection in sub-Saharan Africa is limited by few specialists, restricted testing and cultural barriers. Conventional dual-task paradigms may be unsuitable for low-literacy populations, whereas rhythmic auditory cueing (RAC) using familiar music may provide a culturally neutral, engaging alternative. This study aimed to validate smartphone-based gait assessment across cognitive stages in adults attending a memory-clinic. Methods Sixty adults aged 60–85 years attending a memory clinic were stratified into Subjective Cognitive Decline (SCD, n = 21), Mild Cognitive Impairment (MCI, n = 23) and Dementia (n = 16). Smartphone-based spatiotemporal and kinematic gait parameters were collected under uncued, dual-task (fruits/vegetables naming) and RAC conditions. Between-group differences were examined using MANCOVA or rank-based MANOVA, adjusting for age, sex and body mass index, with Bonferroni-corrected post hoc tests. Correlations with executive function were analysed using false discovery rate-corrected Spearman tests. Receiver operating characteristic analyses determined discriminatory performance. Results Gait impairment increased with cognitive decline. Dementia participants exhibited slower velocity, shorter stride length, longer double support, reduced hip range and higher stance asymmetry, particularly under RAC. RAC stance asymmetry distinguished SCD from Dementia with high accuracy (AUC = 0.952, sensitivity 93.8%, specificity 90.5%), outperforming dual-task measures. Dual-task base width differentiated SCD from MCI (AUC = 0.772), while music-cued support times distinguished MCI from Dementia (P ≤ .028, η ≈ 0.33). Gait parameters correlated strongly with executive function (r ≈ 0.48, P < .001). Conclusions Smartphone-based gait assessment, particularly under RAC, provides a sensitive, culturally neutral and scalable method for detecting and classifying cognitive impairment. RAC highlights sensorimotor deficits characteristic of dementia, complementing standard cognitive screening tools in resource-limited settings. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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