Resilience profiles across context: A latent profile analysis in a German, Greek, and Swiss sample of adolescents
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Dateien
[Manuskript]
Autor:innen
Anyan, Frederick
Morote, Roxanna
Hjemdal, Odin
Graf, Ulrike
Rietz, Christian
Chouvati, Raia
Govaris, Christos
Autor:in (Körperschaft)
Publikationsdatum
27.01.2022
Typ der Arbeit
Studiengang
Typ
01A - Beitrag in wissenschaftlicher Zeitschrift
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
PLOS ONE
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
17
Ausgabe / Nummer
1
Seiten / Dauer
Patentnummer
Verlag / Herausgebende Institution
Public Library of Science
Verlagsort / Veranstaltungsort
San Francisco
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
The present study investigated resilience profiles (based on levels of symptoms of anxiety and depression and five dimensions of protective factors) of 1,160 students from Germany (n = 346, 46.0% females, Mage = 12.77, SDage = 0.78), Greece (n = 439, 54.5% females, Mage = 12.68, SDage = 0.69), and Switzerland (n = 375, 44.5% females, Mage = 12.29, SDage = 0.88) using latent profile analyses. We also checked for measurement invariance and investigated the influence of gender and migration on class membership. A three-profilesolution was found for Switzerland (nonresilient 22.1%, moderately resilient 42.9%, untroubled 34.9%), and a four-profile-solution was the best fitting model for Germany (nonresilient 15.7%, moderately resilient 44.2%, untroubled 27.3%, resilient 12.7%) and Greece (nonresilient 21.0%, moderately resilient 30.8%, untroubled 24.9%, resilient 23.3%). Measurement invariance did not hold across the three countries. Profile differences regarding class membership predictions were detected for Germany and Greece, but none for Switzerland. Results implicate that resilience profiles are highly contextually sensitive, and resilience research findings should not be generalized considering the particularity of contexts, people, and outcomes.
Schlagwörter
resilience, mental health, protective factors, anxiety, depression, latent profile analysis, LPA, measurement invariance
Fachgebiet (DDC)
Veranstaltung
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
Enddatum der Konferenz
Datum der letzten Prüfung
ISBN
ISSN
1932-6203
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Zukunftsfelder FHNW
Publikationsstatus
Veröffentlicht
Begutachtung
Peer-Review der ganzen Publikation
Open Access-Status
Gold
Lizenz
Zitation
Janousch, C., Anyan, F., Kassis, W., Morote, R., Hjemdal, O., Sidler, P., Graf, U., Rietz, C., Chouvati, R., & Govaris, C. (2022). Resilience profiles across context: A latent profile analysis in a German, Greek, and Swiss sample of adolescents. Plos One, 17(1). https://doi.org/10.1371/journal.pone.0263089