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. 2020 Dec 29;15(12):e0243083.
doi: 10.1371/journal.pone.0243083. eCollection 2020.

Recognition of children's emotional facial expressions among mothers reporting a history of childhood maltreatment

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Recognition of children's emotional facial expressions among mothers reporting a history of childhood maltreatment

Jessica Turgeon et al. PLoS One. .

Abstract

Several studies have shown that child maltreatment is associated with both positive and negative effects on the recognition of facial emotions. Research has provided little evidence of a relation between maltreatment during childhood and young adults' ability to recognize facial displays of emotion in children, an essential skill for a sensitive parental response. In this study, we examined the consequences of different forms of maltreatment experienced in childhood on emotion recognition during parenthood. Participants included sixty-three mothers of children aged 2 to 5 years. Retrospective self-reports of childhood maltreatment were assessed using the short form of the Childhood Trauma Questionnaire (CTQ). Emotion recognition was measured using a morphed facial emotion identification task of all six basic emotions (anger, disgust, fear, happiness, sadness, and surprise). A Path Analysis via Structural Equation Model revealed that a history of physical abuse is related to a decreased ability to recognize both fear and sadness in children, whereas emotional abuse and sexual abuse are related to a decreased ability to recognize anger in children. In addition, emotional neglect is associated with an increased ability to recognize anger, whereas physical neglect is associated with less accuracy in recognizing happiness in children's facial emotional expressions. These findings have important clinical implications and expand current understanding of the consequences of childhood maltreatment on parents' ability to detect children's needs.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Mean accuracy and standard deviation for each emotion.
Fig 2
Fig 2. Path model results using unbiased hit rates.

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