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Lippke-et-al_2022_Mitigating Feelings of Loneliness and Depression.pdf 819,99KB
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1000 Titel
  • Mitigating Feelings of Loneliness and Depression by Means of Web-Based or Print-Based Physical Activity Interventions: Pooled Analysis of 2 Community-Based Intervention Trials
1000 Autor/in
  1. Lippke, Sonia |
  2. Ratz, Tiara |
  3. Keller, Franziska Maria |
  4. Juljugin, Dennis |
  5. Peters, Manuela |
  6. Pischke, Claudia |
  7. Voelcker-Rehage, Claudia |
1000 Erscheinungsjahr 2022
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2022-08-09
1000 Erschienen in
1000 Quellenangabe
  • 5(3):e36515
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2022
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.2196/36515 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399846/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: Physical activity (PA) is associated with benefits, such as fewer depressive symptoms and loneliness. Web- and print-based PA interventions can help older individuals accordingly. OBJECTIVE: We aimed to test the following research questions: Do PA interventions delivered in a web- or print-based mode improve self-reported PA stage of change, social-cognitive determinants of PA, loneliness, and symptoms of depression? Is subjective age a mediator and stage of change a moderator of this effect? METHODS: Overall, 831 adults aged ≥60 years were recruited and either allocated to a print-based or web-based intervention group or assigned to a wait-list control group (WLCG) in 2 community-based PA intervention trials over 10 weeks. Missing value imputation using an expectation-maximization algorithm was applied. Frequency analyses, multivariate analyses of variance, and moderated mediation analyses were conducted. RESULTS: The web-based intervention outperformed (47/59, 80% of initially inactive individuals being adopters, and 396/411, 96.4% of initially active individuals being maintainers of the recommended PA behavior) the print-based intervention (20/25, 80% of adopters, and 63/69, 91% of maintainers) and the WLCG (5/7, 71% of adopters; 141/150, 94% of maintainers). The pattern regarding adopters was statistically significant (web vs print Z=–1.94; P=.02; WLCG vs web Z=3.8367; P=.01). The pattern was replicated with stages (χ24=79.1; P<.001; contingency coefficient 0.314; P<.001); in the WLCG, 40.1% (63/157) of the study participants moved to or remained in action stage. This number was higher in the groups receiving web-based (357/470, 76%) or print-based interventions (64/94, 68.1%). A significant difference was observed favoring the 2 intervention groups over and above the WLCG (F19, 701=4.778; P<.001; η2=0.098) and a significant interaction of time and group (F19, 701=2.778; P<.001; η2=0.070) for predictors of behavior. The effects of the interventions on subjective age, loneliness, and depression revealed that both between-group effects (F3, 717=8.668; P<.001; η2=0.018) and the interaction between group and time were significant (F3, 717=6.101; P<.001; η2=0.025). In a moderated mediation model, both interventions had a significant direct effect on depression in comparison with the WLCG (web-based: c′ path −0.86, 95% CI −1.58 to −0.13, SE 0.38; print-based: c′ path −1.96, 95% CI −2.99 to −0.92, SE 0.53). Furthermore, subjective age was positively related to depression (b path 0.14, 95% CI 0.05-0.23; SE 0.05). An indirect effect of the intervention on depression via subjective age was only present for participants who were in actor stage and received the web-based intervention (ab path −0.14, 95% CI −0.34 to −0.01; SE 0.09). CONCLUSIONS: Web-based interventions appear to be as effective as print-based interventions. Both modes might help older individuals remain or become active and experience fewer depression symptoms, especially if they feel younger.
1000 Sacherschließung
lokal intervention
lokal older adults
lokal loneliness
lokal mobile health
lokal mHealth
lokal depression
lokal eHealth
lokal physical activity
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-8272-0399|https://orcid.org/0000-0002-7985-7386|https://orcid.org/0000-0002-7728-9709|https://orcid.org/0000-0002-2147-7436|https://orcid.org/0000-0001-6012-1654|https://orcid.org/0000-0002-2256-8903|https://orcid.org/0000-0001-5398-4099
1000 Label
1000 Förderer
  1. Bundesministerium für Bildung und Forschung |
1000 Fördernummer
  1. 01EL1822A; 01EL1822C; 01EL1822F; 01EL1822I
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Bildung und Forschung |
    1000 Förderprogramm -
    1000 Fördernummer 01EL1822A; 01EL1822C; 01EL1822F; 01EL1822I
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6435173.rdf
1000 Erstellt am 2022-09-27T11:07:49.726+0200
1000 Erstellt von 266
1000 beschreibt frl:6435173
1000 Bearbeitet von 317
1000 Zuletzt bearbeitet 2022-09-27T12:29:53.286+0200
1000 Objekt bearb. Tue Sep 27 12:29:23 CEST 2022
1000 Vgl. frl:6435173
1000 Oai Id
  1. oai:frl.publisso.de:frl:6435173 |
1000 Sichtbarkeit Metadaten public
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