Biased Affective Forecasting: A Potential Mechanism That Enhances Resilience and Well-Being
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Other documents of the author: Colombo, Desirée; Fernández-Álvarez, Javier; Suso-Ribera, Carlos; Cipresso, Pietro; García-Palacios, Azucena; Riva, Giuseppe; Botella, Cristina
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Title
Biased Affective Forecasting: A Potential Mechanism That Enhances Resilience and Well-BeingAuthor (s)
Date
2020-06Publisher
Frontiers MediaBibliographic citation
COLOMBO, Desirée, et al. Biased affective forecasting: A potential mechanism that enhances resilience and well-being. Frontiers in Psychology, 2020, vol. 11.Type
info:eu-repo/semantics/articlePublisher version
https://www.frontiersin.org/articles/10.3389/fpsyg.2020.01333/fullVersion
info:eu-repo/semantics/publishedVersionSubject
Abstract
According to a growing body of studies, people’s ability to forecast future emotional
experiences is generally biased. Nonetheless, the existing literature has mainly explored
affective forecasting in relation to ... [+]
According to a growing body of studies, people’s ability to forecast future emotional
experiences is generally biased. Nonetheless, the existing literature has mainly explored
affective forecasting in relation to specific events, whereas little is still known about
the ability to make general estimations of future emotional states. Based on existing
evidence suggesting future-oriented disposition as a key factor for mental health, the
aims of the current study were (1) to investigate the relationship between negative
(NA) and positive (PA) affective forecasting biases and perceived psychological wellbeing,
and (2) to explore whether positively biased predictions are associated with
resilience and foster one’s skills to cope with stressful events. To do so, we asked 85
undergraduate students to forecast PA and NA over 2 weeks, as well as to report their
daily affect through a web-based Ecological Momentary Assessment. According to the
results, positively biased PA forecasting (i.e., overestimating positive emotional states)
was associated with greater perceived psychological well-being and higher resilience.
When high levels of stress were experienced, participants holding an optimistic, yet
biased, estimation of future PA were more likely to successfully manage stressors, thus
maintaining lower levels of NA and higher levels of positive emotions. We suggest
that positively biased PA forecasting is an adaptive cognitive distortion that boosts
people’s resilience and mental health, thus opening new avenues for the promotion
of psychological well-being. [-]
Is part of
Frontiers in Psychology, 2020, v. 11Investigation project
Marie Curie EF-ST AffecTech Project, approved at call H2020 – MSCA – ITN – 2016 (project reference: 722022).Rights
info:eu-repo/semantics/openAccess
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