Social connectedness and negative affect uniquely explain individual differences in response to emotional ambiguity

Abstract Negativity bias is not only central to mood and anxiety disorders, but can powerfully impact our decision-making across domains (e.g., financial, medical, social). This project builds on previous work examining negativity bias using dual-valence ambiguity. Specifically, although some facial...

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Autores principales:	Maital Neta, Rebecca L. Brock
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/97a8ff3e2fb9479f8a444eadb6b5705c
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spelling	oai:doaj.org-article:97a8ff3e2fb9479f8a444eadb6b5705c2021-12-02T14:03:44ZSocial connectedness and negative affect uniquely explain individual differences in response to emotional ambiguity10.1038/s41598-020-80471-22045-2322https://doaj.org/article/97a8ff3e2fb9479f8a444eadb6b5705c2021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-80471-2https://doaj.org/toc/2045-2322Abstract Negativity bias is not only central to mood and anxiety disorders, but can powerfully impact our decision-making across domains (e.g., financial, medical, social). This project builds on previous work examining negativity bias using dual-valence ambiguity. Specifically, although some facial expressions have a relatively clear negative (angry) or positive valence (happy), surprised expressions are interpreted negatively by some and positively by others, providing insight into one’s valence bias. Here, we examine putative sources of variability that distinguish individuals with a more negative versus positive valence bias using structural equation modeling. Our model reveals that one’s propensity toward negativity (operationalized as temperamental negative affect and internalizing symptomology) predicts valence bias particularly in older adulthood when a more positive bias is generally expected. Further, variability in social connectedness (a propensity to seek out social connections, use those connections to regulate one’s own emotions, and be empathic) emerges as a notable and unique predictor of valence bias, likely because these traits help to override an initial, default negativity. We argue that this task represents an important approach to examining variability in affective bias, and can be specifically useful across the lifespan and in populations with internalizing disorders or even subclinical symptomology.Maital NetaRebecca L. BrockNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Maital Neta Rebecca L. Brock Social connectedness and negative affect uniquely explain individual differences in response to emotional ambiguity
description	Abstract Negativity bias is not only central to mood and anxiety disorders, but can powerfully impact our decision-making across domains (e.g., financial, medical, social). This project builds on previous work examining negativity bias using dual-valence ambiguity. Specifically, although some facial expressions have a relatively clear negative (angry) or positive valence (happy), surprised expressions are interpreted negatively by some and positively by others, providing insight into one’s valence bias. Here, we examine putative sources of variability that distinguish individuals with a more negative versus positive valence bias using structural equation modeling. Our model reveals that one’s propensity toward negativity (operationalized as temperamental negative affect and internalizing symptomology) predicts valence bias particularly in older adulthood when a more positive bias is generally expected. Further, variability in social connectedness (a propensity to seek out social connections, use those connections to regulate one’s own emotions, and be empathic) emerges as a notable and unique predictor of valence bias, likely because these traits help to override an initial, default negativity. We argue that this task represents an important approach to examining variability in affective bias, and can be specifically useful across the lifespan and in populations with internalizing disorders or even subclinical symptomology.
format	article
author	Maital Neta Rebecca L. Brock
author_facet	Maital Neta Rebecca L. Brock
author_sort	Maital Neta
title	Social connectedness and negative affect uniquely explain individual differences in response to emotional ambiguity
title_short	Social connectedness and negative affect uniquely explain individual differences in response to emotional ambiguity
title_full	Social connectedness and negative affect uniquely explain individual differences in response to emotional ambiguity
title_fullStr	Social connectedness and negative affect uniquely explain individual differences in response to emotional ambiguity
title_full_unstemmed	Social connectedness and negative affect uniquely explain individual differences in response to emotional ambiguity
title_sort	social connectedness and negative affect uniquely explain individual differences in response to emotional ambiguity
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/97a8ff3e2fb9479f8a444eadb6b5705c
work_keys_str_mv	AT maitalneta socialconnectednessandnegativeaffectuniquelyexplainindividualdifferencesinresponsetoemotionalambiguity AT rebeccalbrock socialconnectednessandnegativeaffectuniquelyexplainindividualdifferencesinresponsetoemotionalambiguity
_version_	1718392096351584256

Social connectedness and negative affect uniquely explain individual differences in response to emotional ambiguity

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