Affect-biased attention is an automatic process that prioritizes emotionally or motivationally salient stimuli. Several models of affect-biased attention and its development suggest that it comprises an individual's ability to both engage with and disengage from emotional stimuli. Researchers typically rely on singular tasks to measure affect-biased attention, which may lead to inconsistent results across studies. Here we examined affect-biased attention across three tasks in a unique sample of 193 infants, using both variable-centered (factor analysis; FA) and person-centered (latent profile analysis; LPA) approaches. Using exploratory FA, we found evidence for two factors of affect-biased attention: an Engagement factor and a Disengagement factor, where greater maternal anxiety was related to less engagement with faces. Using LPA, we found two groups of infants with different patterns of affect-biased attention: a Vigilant group and an Avoidant group. A significant interaction noted that infants higher in negative affect who also had more anxious mothers were most likely to be in the Vigilant group. Overall, these results suggest that both FA and LPA are viable approaches for studying distinct questions related to the development of affect-biased attention, and set the stage for future longitudinal work examining the role of infant negative affect and maternal anxiety in the emergence of affect-biased attention.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7814017PMC
http://dx.doi.org/10.1038/s41598-021-81119-5DOI Listing

Publication Analysis

Top Keywords

affect-biased attention
36
negative affect
12
maternal anxiety
12
affect-biased
9
attention
9
infant negative
8
affect maternal
8
vigilant group
8
variable- person-centered
4
person-centered approaches
4

Similar Publications

Affect-biased attention is the phenomenon of prioritizing attention to emotionally salient stimuli and away from goal-directed stimuli. It is thought that affect-biased attention to emotional stimuli is a driving factor in the development of depression. This effect has been well-studied in adults, but research shows that this is also true during adolescence, when the severity of depressive symptoms are correlated with the magnitude of affect-biased attention to negative emotional stimuli.

View Article and Find Full Text PDF

Introduction: Models of attachment and information processing suggest that the attention infants allocate to social information might occur in a schema-driven processing manner according to their attachment pattern. A major source of social information for infants consists of facial expressions of emotion. We tested for differences in attention to facial expressions and emotional discrimination between infants classified as securely attached (B), insecure-avoidant (A), and insecure-resistant (C).

View Article and Find Full Text PDF

Maternal anxiety during pregnancy predicts infant attention to affective faces.

J Affect Disord

January 2024

Department of Psychology, University of Denver, Denver, CO, USA; Department of Pediatrics, University of California, Irvine, CA, USA.

Article Synopsis
  • Prenatal maternal anxiety, particularly pregnancy-related anxiety, can negatively impact how infants focus on emotional faces, which is crucial for their social and emotional development.
  • A study involving 86 mothers showed that higher pregnancy-related anxiety predicted less attention from infants towards emotional faces compared to neutral ones.
  • Although the study found significant correlations, it can't establish a cause-and-effect relationship, highlighting the need for further research on the implications of maternal anxiety on child development.
View Article and Find Full Text PDF

The normative, developmental changes in affect-biased attention during the preschool years are largely unknown. To investigate the attention bias for emotional versus neutral faces, an eye-tracking measurement and free viewing of paired pictures of facial expressions (i.e.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!