Is family mealtime a unique window into family functioning? An observational cross-sectional study of parent-infant interaction quality in three contexts

Family mealtime is a recurring everyday context for parent-child interaction, typically involving family members sitting together with the shared purpose of eating and socializing. However, little is known about the quality of parent-child interaction in this context, as this is often assessed during play or structured tasks. The aim of this study was to examine whether family mealtime constituted a context evoking specific parent-child interaction quality. Participants were 110 families with 24–36-month-old toddlers from the Copenhagen metropolitan area. Parent–toddler interactions during free play, clean-up, and mealtime were video-recorded in the home. Interactions were coded using the Coding Interactive Behavior manual to assess parental Acknowledging, Overriding, and Dyadic Reciprocity. We assessed mean-level differences (contextual continuity) and rank-order consistency (contextual stability) across the three contexts. Means for Overriding and Dyadic Reciprocity were significantly lower during family mealtime than during both play and clean-up, suggesting contextual discontinuity; i.e., that at the group level, mealtime interactions involve less inappropriate parental disruption and redirection, but also lower mutual responsiveness within the dyad. Acknowledging, Overriding, and Dyadic Reciprocity showed no significant correlations across family mealtime and the other contexts, indicating contextual instability, i.e., that within families, interaction quality during mealtime is not necessarily associated with interaction quality in other contexts. Our results suggest that interaction quality cannot be assumed to generalize across contexts. Family mealtime appears to elicit distinct interaction patterns on more parameters and may be an important setting for observational assessment. Clarifying for whom and under what conditions mealtime fosters positive or negative interaction patterns may guide future research and intervention design.