Publikation: "Can Do" vs. "Do Do" in Older Adults : A Cross-Sectional Analysis of Sensor-Derived Physical Activity Patterns
Dateien
Datum
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
URI (zitierfähiger Link)
DOI (zitierfähiger Link)
Internationale Patentnummer
Link zur Lizenz
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Sammlungen
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Publikationsstatus
Erschienen in
Zusammenfassung
(1) Background: Identifying groups with a misaligned physical capacity (PC) and physical activity (PA) is potentially relevant for health promotion. Although an important health determinant, deeper knowledge of underlying walking behavior patterns in older adults is currently missing. We aim to identify specific PA signatures of misaligned groups and determine PA variables discriminating between groups.
(2) Methods: In total, 294 community-dwelling older adults (≥70 years) were divided into four quadrants based on thresholds for PA (≥ or <5000 steps/day) and PC (≤ or >12 s, Timed Up and Go test). Kruskal–Wallis and effect sizes were calculated to compare quadrants’ PA variables and to determine the discriminative power of PA parameters on walking duration, frequency, and intensity.
(3) Results: We identified quadrant-specific PA signatures. Compared with “can do–do do”, the “cannot do–do do” group performs shorter continuous and lower-intensity walks; the “can do–do not do” group takes fewer steps and walks with less intensity. The “cannot do–do not do” group presents lower values in all PA variables. “Walking duration greater or equal 3 METs” was the strongest discriminative PA variable.
(4) Conclusion: We provide distinct PA signatures for four clinically different groups of older adults. Walking intensity is most useful to distinguish community-dwelling older adults, which is relevant for developing improved customized health promotion interventions.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
Schlagwörter
Konferenz
Rezension
Zitieren
ISO 690
ADAMS, Michael, Lara CARRASCOSA AUGUSTINA, Carl-Philipp JANSEN, Yvonne RITTER, Michael SCHWENK, 2023. "Can Do" vs. "Do Do" in Older Adults : A Cross-Sectional Analysis of Sensor-Derived Physical Activity Patterns. In: Sensors. MDPI. 2023, 23(4), 1879. eISSN 1424-8220. Available under: doi: 10.3390/s23041879BibTex
@article{Adams2023Older-66141, year={2023}, doi={10.3390/s23041879}, title={"Can Do" vs. "Do Do" in Older Adults : A Cross-Sectional Analysis of Sensor-Derived Physical Activity Patterns}, number={4}, volume={23}, journal={Sensors}, author={Adams, Michael and Carrascosa Augustina, Lara and Jansen, Carl-Philipp and Ritter, Yvonne and Schwenk, Michael}, note={Article Number: 1879} }
RDF
<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/66141"> <dc:rights>Attribution 4.0 International</dc:rights> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/66141"/> <dc:contributor>Carrascosa Augustina, Lara</dc:contributor> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-02-20T13:44:28Z</dc:date> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/66141/4/Adams_2-1mu2bfw5vshoc0.pdf"/> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-02-20T13:44:28Z</dcterms:available> <dc:creator>Schwenk, Michael</dc:creator> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/35"/> <dc:contributor>Schwenk, Michael</dc:contributor> <dc:contributor>Jansen, Carl-Philipp</dc:contributor> <dc:contributor>Ritter, Yvonne</dc:contributor> <dc:creator>Adams, Michael</dc:creator> <dcterms:issued>2023</dcterms:issued> <dc:contributor>Adams, Michael</dc:contributor> <dc:creator>Ritter, Yvonne</dc:creator> <dcterms:title>"Can Do" vs. "Do Do" in Older Adults : A Cross-Sectional Analysis of Sensor-Derived Physical Activity Patterns</dcterms:title> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/35"/> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dc:creator>Carrascosa Augustina, Lara</dc:creator> <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/"/> <dc:creator>Jansen, Carl-Philipp</dc:creator> <dc:language>eng</dc:language> <dcterms:abstract>(1) Background: Identifying groups with a misaligned physical capacity (PC) and physical activity (PA) is potentially relevant for health promotion. Although an important health determinant, deeper knowledge of underlying walking behavior patterns in older adults is currently missing. We aim to identify specific PA signatures of misaligned groups and determine PA variables discriminating between groups. (2) Methods: In total, 294 community-dwelling older adults (≥70 years) were divided into four quadrants based on thresholds for PA (≥ or <5000 steps/day) and PC (≤ or >12 s, Timed Up and Go test). Kruskal–Wallis and effect sizes were calculated to compare quadrants’ PA variables and to determine the discriminative power of PA parameters on walking duration, frequency, and intensity. (3) Results: We identified quadrant-specific PA signatures. Compared with “can do–do do”, the “cannot do–do do” group performs shorter continuous and lower-intensity walks; the “can do–do not do” group takes fewer steps and walks with less intensity. The “cannot do–do not do” group presents lower values in all PA variables. “Walking duration greater or equal 3 METs” was the strongest discriminative PA variable. (4) Conclusion: We provide distinct PA signatures for four clinically different groups of older adults. Walking intensity is most useful to distinguish community-dwelling older adults, which is relevant for developing improved customized health promotion interventions.</dcterms:abstract> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/66141/4/Adams_2-1mu2bfw5vshoc0.pdf"/> </rdf:Description> </rdf:RDF>