Cargando…
Free-living wrist and hip accelerometry forecast cognitive decline among older adults without dementia over 1- or 5-years in two distinct observational cohorts
The prevalence of major neurocognitive disorders is expected to rise over the next 3 decades as the number of adults ≥65 years old increases. Noninvasive screening capable of flagging individuals most at risk of subsequent cognitive decline could trigger closer monitoring and preventive strategies....
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170733/ https://www.ncbi.nlm.nih.gov/pubmed/35927250 http://dx.doi.org/10.1038/s41514-022-00087-w |
_version_ | 1784721501517250560 |
---|---|
author | Shi, Chengjian Babiker, Niser Urbanek, Jacek K. Grossman, Robert L. Huisingh-Scheetz, Megan Rzhetsky, Andrey |
author_facet | Shi, Chengjian Babiker, Niser Urbanek, Jacek K. Grossman, Robert L. Huisingh-Scheetz, Megan Rzhetsky, Andrey |
author_sort | Shi, Chengjian |
collection | PubMed |
description | The prevalence of major neurocognitive disorders is expected to rise over the next 3 decades as the number of adults ≥65 years old increases. Noninvasive screening capable of flagging individuals most at risk of subsequent cognitive decline could trigger closer monitoring and preventive strategies. In this study, we used free-living accelerometry data to forecast cognitive decline within 1- or 5-years in older adults without dementia using two cohorts. The first cohort, recruited in the south side of Chicago, wore hip accelerometers for 7 continuous days. The second cohort, nationally recruited, wore wrist accelerometers continuously for 72 h. Separate classifier models forecasted 1-year cognitive decline with over 85% accuracy using hip data and forecasted 5-year cognitive decline with nearly 70% accuracy using wrist data, significant improvements compared to demographics and comorbidities alone. The proposed models are readily translatable to clinical practices serving ageing populations. |
format | Online Article Text |
id | pubmed-9170733 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91707332022-06-07 Free-living wrist and hip accelerometry forecast cognitive decline among older adults without dementia over 1- or 5-years in two distinct observational cohorts Shi, Chengjian Babiker, Niser Urbanek, Jacek K. Grossman, Robert L. Huisingh-Scheetz, Megan Rzhetsky, Andrey NPJ Aging Article The prevalence of major neurocognitive disorders is expected to rise over the next 3 decades as the number of adults ≥65 years old increases. Noninvasive screening capable of flagging individuals most at risk of subsequent cognitive decline could trigger closer monitoring and preventive strategies. In this study, we used free-living accelerometry data to forecast cognitive decline within 1- or 5-years in older adults without dementia using two cohorts. The first cohort, recruited in the south side of Chicago, wore hip accelerometers for 7 continuous days. The second cohort, nationally recruited, wore wrist accelerometers continuously for 72 h. Separate classifier models forecasted 1-year cognitive decline with over 85% accuracy using hip data and forecasted 5-year cognitive decline with nearly 70% accuracy using wrist data, significant improvements compared to demographics and comorbidities alone. The proposed models are readily translatable to clinical practices serving ageing populations. Nature Publishing Group UK 2022-06-06 /pmc/articles/PMC9170733/ /pubmed/35927250 http://dx.doi.org/10.1038/s41514-022-00087-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Shi, Chengjian Babiker, Niser Urbanek, Jacek K. Grossman, Robert L. Huisingh-Scheetz, Megan Rzhetsky, Andrey Free-living wrist and hip accelerometry forecast cognitive decline among older adults without dementia over 1- or 5-years in two distinct observational cohorts |
title | Free-living wrist and hip accelerometry forecast cognitive decline among older adults without dementia over 1- or 5-years in two distinct observational cohorts |
title_full | Free-living wrist and hip accelerometry forecast cognitive decline among older adults without dementia over 1- or 5-years in two distinct observational cohorts |
title_fullStr | Free-living wrist and hip accelerometry forecast cognitive decline among older adults without dementia over 1- or 5-years in two distinct observational cohorts |
title_full_unstemmed | Free-living wrist and hip accelerometry forecast cognitive decline among older adults without dementia over 1- or 5-years in two distinct observational cohorts |
title_short | Free-living wrist and hip accelerometry forecast cognitive decline among older adults without dementia over 1- or 5-years in two distinct observational cohorts |
title_sort | free-living wrist and hip accelerometry forecast cognitive decline among older adults without dementia over 1- or 5-years in two distinct observational cohorts |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170733/ https://www.ncbi.nlm.nih.gov/pubmed/35927250 http://dx.doi.org/10.1038/s41514-022-00087-w |
work_keys_str_mv | AT shichengjian freelivingwristandhipaccelerometryforecastcognitivedeclineamongolderadultswithoutdementiaover1or5yearsintwodistinctobservationalcohorts AT babikerniser freelivingwristandhipaccelerometryforecastcognitivedeclineamongolderadultswithoutdementiaover1or5yearsintwodistinctobservationalcohorts AT urbanekjacekk freelivingwristandhipaccelerometryforecastcognitivedeclineamongolderadultswithoutdementiaover1or5yearsintwodistinctobservationalcohorts AT grossmanrobertl freelivingwristandhipaccelerometryforecastcognitivedeclineamongolderadultswithoutdementiaover1or5yearsintwodistinctobservationalcohorts AT huisinghscheetzmegan freelivingwristandhipaccelerometryforecastcognitivedeclineamongolderadultswithoutdementiaover1or5yearsintwodistinctobservationalcohorts AT rzhetskyandrey freelivingwristandhipaccelerometryforecastcognitivedeclineamongolderadultswithoutdementiaover1or5yearsintwodistinctobservationalcohorts |