Publikation:

Latent user groups of an eHealth physical activity behaviour change intervention for people interested in reducing their cardiovascular risk

Lade...
Vorschaubild

Dateien

Wienert_2-ek53xa6v3k686.pdf
Wienert_2-ek53xa6v3k686.pdfGröße: 1.66 MBDownloads: 390

Datum

2019

Autor:innen

Wienert, Julian
Storm, Vera
Reinwand, Dominique
Lippke, Sonia

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

ArXiv-ID

Internationale Patentnummer

Link zur Lizenz

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Open Access Hybrid
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published

Erschienen in

Research in Sports Medicine. 2019, 27(1), pp. 34-49. ISSN 1543-8627. eISSN 1543-8635. Available under: doi: 10.1080/15438627.2018.1502181

Zusammenfassung

EHealth behaviour change interventions that help participants to adhere to professional physical activity recommendations can help to prevent future events of cardiovascular diseases (CVD). Therefore, identifying user groups of such interventions based on stages of health behaviour change is of great importance to provide tailored content to users instead of one-size-fits-all approaches. Our study used Latent Class Analysis (LCA) to identify underlying classes of users of an eHealth behaviour change intervention based on stages of change and associated variables. We compared participants' self-allocated stage with their latent class stage membership to display the correlation and mean differences between the two approaches. This was done by analysing baseline data of N = 310 people interested in reducing their CVD risk. LCA identified a three-class solution: (non-)intenders (19.4%), non-habituated actors (43.2%) and habituated actors (37.4%). The interrelation between self-allocated and latent class stage membership was moderate (ρ(308) = .49, p < .001). Significant mean differences for (non-)intenders and non-habituated actors were found in social-cognitive variables. Results showed that self-allocated stage outcomes represent a pseudo stage model - linear trends can be reported for stage-associated social-cognitive variables. The study provides information on the validity of stage measures, which can inform future interventions.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
150 Psychologie

Schlagwörter

Social-cognitive predictors, stages of change, online intervention, latent class analysis, physical activity

Konferenz

Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690WIENERT, Julian, Tim KUHLMANN, Vera STORM, Dominique REINWAND, Sonia LIPPKE, 2019. Latent user groups of an eHealth physical activity behaviour change intervention for people interested in reducing their cardiovascular risk. In: Research in Sports Medicine. 2019, 27(1), pp. 34-49. ISSN 1543-8627. eISSN 1543-8635. Available under: doi: 10.1080/15438627.2018.1502181
BibTex
@article{Wienert2019-01-02Laten-42954,
  year={2019},
  doi={10.1080/15438627.2018.1502181},
  title={Latent user groups of an eHealth physical activity behaviour change intervention for people interested in reducing their cardiovascular risk},
  number={1},
  volume={27},
  issn={1543-8627},
  journal={Research in Sports Medicine},
  pages={34--49},
  author={Wienert, Julian and Kuhlmann, Tim and Storm, Vera and Reinwand, Dominique and Lippke, Sonia}
}
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/123456789/42954">
    <dcterms:title>Latent user groups of an eHealth physical activity behaviour change intervention for people interested in reducing their cardiovascular risk</dcterms:title>
    <dcterms:issued>2019-01-02</dcterms:issued>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2018-08-02T12:10:47Z</dc:date>
    <dc:creator>Storm, Vera</dc:creator>
    <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/"/>
    <dc:language>eng</dc:language>
    <dc:creator>Kuhlmann, Tim</dc:creator>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/42954/1/Wienert_2-ek53xa6v3k686.pdf"/>
    <dc:contributor>Reinwand, Dominique</dc:contributor>
    <dc:contributor>Kuhlmann, Tim</dc:contributor>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/43"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/42954/1/Wienert_2-ek53xa6v3k686.pdf"/>
    <dc:creator>Wienert, Julian</dc:creator>
    <dc:creator>Reinwand, Dominique</dc:creator>
    <dc:rights>Attribution 4.0 International</dc:rights>
    <dc:creator>Lippke, Sonia</dc:creator>
    <dc:contributor>Lippke, Sonia</dc:contributor>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/42954"/>
    <dc:contributor>Storm, Vera</dc:contributor>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2018-08-02T12:10:47Z</dcterms:available>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/43"/>
    <dcterms:abstract xml:lang="eng">EHealth behaviour change interventions that help participants to adhere to professional physical activity recommendations can help to prevent future events of cardiovascular diseases (CVD). Therefore, identifying user groups of such interventions based on stages of health behaviour change is of great importance to provide tailored content to users instead of one-size-fits-all approaches. Our study used Latent Class Analysis (LCA) to identify underlying classes of users of an eHealth behaviour change intervention based on stages of change and associated variables. We compared participants' self-allocated stage with their latent class stage membership to display the correlation and mean differences between the two approaches. This was done by analysing baseline data of N = 310 people interested in reducing their CVD risk. LCA identified a three-class solution: (non-)intenders (19.4%), non-habituated actors (43.2%) and habituated actors (37.4%). The interrelation between self-allocated and latent class stage membership was moderate (ρ(308) = .49, p &lt; .001). Significant mean differences for (non-)intenders and non-habituated actors were found in social-cognitive variables. Results showed that self-allocated stage outcomes represent a pseudo stage model - linear trends can be reported for stage-associated social-cognitive variables. The study provides information on the validity of stage measures, which can inform future interventions.</dcterms:abstract>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Wienert, Julian</dc:contributor>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Ja
Diese Publikation teilen