Bitte benutzen Sie diese Referenz, um auf diese Ressource zu verweisen:
doi:10.22028/D291-37090
Titel: | Emotion Regulation Flexibility and Electronic Patient-Reported Outcomes : A Framework for Understanding Symptoms and Affect Dynamics in Pediatric Psycho-Oncology |
VerfasserIn: | Mirzaie, Kasra Burns-Gebhart, Anna Meyerheim, Marcel Sander, Annette Graf, Norbert |
Sprache: | Englisch |
Titel: | Cancers |
Bandnummer: | 14 |
Heft: | 16 |
Verlag/Plattform: | MDPI |
Erscheinungsjahr: | 2022 |
Freie Schlagwörter: | emotion regulation affect dynamics electronic patient-reported outcomes early warning signals dynamical systems theory pediatric psycho-oncology pediatric cancer adolescents and young adults |
DDC-Sachgruppe: | 610 Medizin, Gesundheit |
Dokumenttyp: | Journalartikel / Zeitschriftenartikel |
Abstract: | Emotion dysregulation is regarded as a driving mechanism for the development of mental health problems and psychopathology. The role of emotion regulation (ER) in the management of cancer distress and quality of life (QoL) has recently been recognized in psycho-oncology. The latest technological advances afford ways to assess ER, affective experiences and QoL in child, adolescent and young adult (CAYA) cancer patients through electronic patient-reported outcomes (ePRO) in their daily environment in real-time. Such tools facilitate ways to study the dynamics of affect and the flexibility of ER. However, technological advancement is not risk-free. We critically review the literature on ePRO in cancer existing models of ER in pediatric psycho-oncology and analyze strength, weaknesses, opportunities and threats of ePRO with a focus on CAYA cancer research and care. Supported by personal study-based experiences, this narrative review serves as a foundation to propose a novel methodological and metatheoretical framework based on: (a) an extended notion of ER, which includes its dynamic, adaptive and flexible nature and focuses on processes and conditions rather than fixed categorical strategies; (b) ePRO as a means to measure emotion regulation flexibility and affect dynamics; (c) identifying early warning signals for symptom change via ePRO and building forecasting models using dynamical systems theory. |
URL der Erstveröffentlichung: | 10.3390/cancers14163874 |
Link zu diesem Datensatz: | urn:nbn:de:bsz:291--ds-370902 hdl:20.500.11880/33672 http://dx.doi.org/10.22028/D291-37090 |
ISSN: | 2072-6694 |
Datum des Eintrags: | 26-Aug-2022 |
Fakultät: | M - Medizinische Fakultät |
Fachrichtung: | M - Pädiatrie |
Professur: | M - Prof. Dr. Norbert Graf |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Dateien zu diesem Datensatz:
Datei | Beschreibung | Größe | Format | |
---|---|---|---|---|
cancers-14-03874.pdf | 1,31 MB | Adobe PDF | Öffnen/Anzeigen |
Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons