Infant crying predicts real-time fluctuations in maternal mental health in ecologically valid home settings.
- 1 April 2023
- journal article
- research article
- Published by American Psychological Association (APA) in Developmental Psychology
- Vol. 59 (4), 733-744
- https://doi.org/10.1037/dev0001530
Abstract
Exposure to infant crying is a well-established predictor of mothers’ mental health. However, this association may reflect many potential mechanisms. Capturing dynamic fluctuations in mothers’ states simultaneously with caregiving experiences is necessary to identify the real-time processes influencing mental health. In this study, we leveraged ecological momentary assessments (EMA) and infant-worn audio recorders to capture variability in mothers’ mental health symptoms and their exposure to infant crying over one week in a racially and socio-economically diverse urban North-American sample (N = 53). We use multilevel modeling to characterize within- and between-person effects of crying on maternal negative affect and symptoms of depression and anxiety. Within participants, when infants cried more than average in the 10 minutes, 1 hour, and 8 hours prior to an EMA report, mothers’ negative affect subsequently increased, controlling for mean levels of infant crying. In contrast to findings from laboratory studies, in everyday settings crying exposure did not immediately increase feelings of depression. Only when crying was above average for eight hours prior to EMA did mothers report increases in subsequent depression symptoms, suggesting that the effects of crying on maternal mental health take hours to unfold in ecologically valid home settings. Between participants, mothers of infants who cried more on average did not report higher negative affect or symptoms of depression or anxiety. Overall, our findings reveal that crying exposure dynamically influences maternal negative affect and depression but not anxiety in ecologically valid real-world settings.Funding Information
- National Institute of Mental Health (1K01MH111957-01A1)
- National Science Foundation (DGE-1610403)
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