Developmental Variation in the Associations of Attention Bias to Emotion with Internalizing and Externalizing Psychopathology

Jenness, Jessica L.; Lambert, Hilary K.; Bitrán, Debbie; Blossom, Jennifer B.; Nook, Erik C.; Sasse, Stephanie F.; Somerville, Leah H.; McLaughlin, Katie A.

doi:10.1007/s10802-020-00751-3

Cited by 11 publications

(10 citation statements)

References 124 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on the impaired cognitive control model, an impaired cognitive control system leads to an individual's inability to shift attentional focus away from negative information and may develop a memory bias or cognitive schema over time. And cognitive resource theory states that due to limited cognitive resources, individuals are more inclined to process and identify with information that is consistent with the schema, i.e., they devote more attention and processing to negative information and will be more inclined to identify with negative information (Jenness et al, 2021). It has been established that positive evaluations will facilitate individuals to resist negative emotions, such as stress, while individuals with high psychological inflexibility tend to make less positive evaluations of events (Garcia et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

Mental fatigue and negative emotion among nurses during the COVID-19 pandemic

et al. 2022

View full text Add to dashboard Cite

COVID-19 is a major public health event affecting the people worldwide. Nurses are still under immense psychological pressure. This study aimed to explore the relationship between mental fatigue and negative emotions among frontline medical staff during the COVID-19 pandemic. The study was conducted in August 2020, which included 419 medical staff between 17 to 28 years. The Fatigue Scale, Multidimensional Mental Flexibility Questionnaire, Cognitive Fusion Scale, and Depression-Anxiety-Stress Brief Version Scale were used. During the data collection period, the pandemic was under control in China and continued worldwide. The results indicated that 27.7% of the medical staff experienced depression, and 32.3% of them feel stressed. Specifically, first, correlation analyses showed significant positive pairwise correlations between mental fatigue, psychological inflexibility, cognitive fusion, and negative emotions among nurses. Second, mediation model tests showed statistically significant mediating effects of psychological inflexibility and cognitive fusion between mental fatigue on nurses' negative emotions, and statistically, significant chain mediating effects of psychological inflexibility and cognitive fusion. Mental fatigue indirectly affects nurses' negative effects through the mediating effects of psychological inflexibility, cognitive fusion, and the chain mediating effects of psychological inflexibility and cognitive fusion, respectively. the negative effects of mental fatigue come from impairment of cognitive functioning, and interventions using acceptance and commitment therapy for mental fatigue and negative emotions are more effective since both psychological inflexibility and cognitive fusion are important components of the therapy.

show abstract

Section: Discussionmentioning

confidence: 99%

Mental fatigue and negative emotion among nurses during the COVID-19 pandemic

et al. 2022

View full text Add to dashboard Cite

show abstract

“…were not powered to investigate individual differences in social threat attention and behavioral responding, which likely have important consequences for social development (Fu & Pérez-Edgar, 2019), the formation of friendships and relationships (Pavlou et al, 2016), and development and maintenance of psychopathology (Armstrong et al, 2013;Jenness et al, 2021;Lisk et al, 2020;LoBue & Pérez-Edgar, 2014).…”

Section: Discussionmentioning

confidence: 99%

Social threat processing in adults and children: Faster orienting to, but shorter dwell time on, angry faces during visual search

Plate,

Powell,

Bedford

et al. 2023

Developmental Science

View full text Add to dashboard Cite

Attention to emotional signals conveyed by others is critical for gleaning information about potential social partners and the larger social context. Children appear to detect social threats (e.g., angry faces) faster than non‐threatening social signals (e.g., neutral faces). However, methods that rely on behavioral responses alone are limited in identifying different attentional processes involved in threat detection or responding. To address this question, we used a visual search paradigm to assess behavioral (i.e., reaction time to select a target image) and attentional (i.e., eye‐tracking fixations, saccadic shifts, and dwell time) responses in children (ages 7–10 years old, N = 42) and adults (ages 18–23 years old, N = 46). In doing so, we compared behavioral responding and attentional detection and engagement with threatening (i.e., angry and fearful faces) and non‐threatening (i.e., happy faces) social signals. Overall, children and adults were faster to detect social threats (i.e., angry faces), but spent a smaller proportion of time dwelling on them and had slower behavioral responses. Findings underscore the importance of combining different measures to parse differences between processing versus responding to social signals across development.Research Highlights Children and adults are slower to select angry faces when measured by time to mouse‐click but faster to detect angry faces when measured by time to first eye fixation. The use of eye‐tracking addresses some limitations of prior visual search tasks with children that rely on behavioral responses alone. Results suggest shorter time to first fixation, but subsequently, shorter duration of dwell on social threat in children and adults.

show abstract

“…Individual differences in attention and neural response to emotional and facial stimuli often underlie development of psychopathology. While attentional bias for and increased neural response to emotional faces is linked to internalizing symptoms ( Jenness et al, 2021 ; Royuela-Colomer et al, 2022 ), low attention and neural response to emotional faces is linked to psychopathic-like traits, including CU traits and antisocial behavior ( Dargis et al, 2018 ; Huffman and Oshri, 2022 ; Kaseweter et al, 2020 ). Although we did not find those within this profile to evince greater frequency of psychopathology, this profile may highlight a group of youths particularly vulnerable to future maladaptation stemming from attenuated response to facial stimuli.…”

Section: Discussionmentioning

confidence: 99%