Login / Signup

Father trait anger and associations with father-infant bonding and caregiving: The mediating role of mentalizing.

Lauren M FrancisChristopher J GreenwoodPeter G EnticottKayla A MansourImogene SmithLiam G GraemeCraig A OlssonJeannette MilgromHelen SkouterisJacqui A Macdonald
Published in: Family process (2023)
Trait anger reflects a tendency to feel irritation, annoyance, and rage, and involves a narrowing of cognition and attention. This narrowed scope may impact the capacity to understand the mental states of oneself and others (mentalizing), which for fathers of infants may compromise bonding and caregiving involvement. Here, we investigated the extent to which mentalizing mediated the relationship between father trait anger and both father-infant bonding and father involvement in infant caregiving. Data were from 168 fathers (M = 30.04 years of age, SD = 1.36) of 190 infants (M = 7.58 months of age, SD = 5.06) in the longitudinal Men and Parenting Pathways (MAPP) study. We assessed fathers' preconception trait anger at Wave 1 and their mentalizing 2 years later at Wave 3. At Waves 3, 4, and/or 5, we assessed father-infant bonding and father involvement in infant caregiving when men had an infant younger than 18 months of age. Associations were examined using path analysis. Poorer mentalizing fully mediated the relationship between preconception trait anger and father-infant bonding (total score), but not involvement in infant caregiving. Further, poorer mentalizing fully mediated the relationships between trait anger and each component of the father-infant bond (i.e., patience and tolerance, affection and pride, and pleasure in interactions). Findings suggest that for men high on trait anger, targeted interventions that facilitate mentalizing capacities may help to develop a foundation for a strong father-infant bond. Interventions may be offered on becoming a father (perinatal), or prior to becoming a father (preconception) to prevent future bonding problems.
Keyphrases
  • genome wide
  • mental health
  • physical activity
  • machine learning
  • dna methylation
  • multiple sclerosis
  • mild cognitive impairment
  • high resolution
  • artificial intelligence