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This study drew on the biological sensitivity to context model (Ellis & Boyce, 2008) and polyvagal theory (Porges, 2007) to evaluate the moderating influence of children’s autonomic nervous system (ANS) regulation on pathways from child emotional abuse (CEA) and child physical abuse (CPA) to later dissociative symptoms in adolescence. Participants were 232 youth (50.2% assigned female at birth, 45.9% Latine) who reported on their experiences of CEA and CPA at ages 6, 8, and 10 years. Resting cardiography measures of respiratory sinus arrythmia (RSA) and pre-ejection period (PEP) assessed children’s parasympathetic and sympathetic activation, respectively, at these same ages. Youth reported on their dissociative symptoms at age 17. Parasympathetic activation qualified predictions from CEA to dissociative symptoms with relatively high RSA sensitizing children to CEA effects. Sympathetic activation qualified interactive predictions from both CEA and CPA to dissociative symptoms, but in different directions depending on the level of CPA. These findings suggest that resting ANS regulation may sensitize children to the effects of CEA and/or CPA on later dissociative symptoms in adolescence.
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Close TIES in relationships: A dynamic systems approach for modeling physiological linkage
We explore complex dynamic patterns of autonomic physiological linkage (i.e., statistical interdependence of partner’s physiology; PL), within the sympathetic and parasympathetic nervous systems (SNS and PNS), as potential correlates of emotional and regulatory dynamics in close relationships. We include electrodermal activity (EDA) as an indicator of SNS activation and respiratory sinus arrhythmia (RSA) as an indicator of regulatory and/or homeostatic processes within the PNS. Measures of EDA and RSA were collected in 10-second increments from 53 heterosexual couples during a mixed-emotion conversation in the laboratory. We used the R statistical package, rties (Butler & Barnard, 2019), to model the dynamics of EDA and RSA with a coupled oscillator model and then categorized couples into qualitatively distinct profiles based on the set of parameters that emerged. We identified two patterns for EDA and three patterns for RSA. We then investigated associations between the PL patterns and self-report measures of relationship and conversation quality and emotional valence using Bayesian multilevel and logistic regression models. Overall, we found robust results indicating that PL profiles were credibly predicted by valence and relationship quality reported prior to the conversations. In contrast, we found very little evidence suggesting that PL patterns predict self-reported conversation quality or valence following the conversation. Together, these results suggest that PL across autonomic subsystems may reflect different processes and therefore have different implications when considering interpersonal dynamics.
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- Award ID(s):
- 1941868
- PAR ID:
- 10407334
- Date Published:
- Journal Name:
- Journal of Social and Personal Relationships
- Volume:
- 39
- Issue:
- 10
- ISSN:
- 0265-4075
- Page Range / eLocation ID:
- 3059 to 3084
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1177/02654075221082594
