Effect of marital satisfaction on self-regulation efforts in couples: Value of heart rate variability measurements

This study explored self-regulatory efforts during the viewing of couple interactions and their association with relationship satisfaction. High-frequency heart rate variability (HF-HRV) was measured for each participant during a video recall of a recent couple interaction to quantify the self-regulatory processes governed by parasympathetic activity. Among 30 couples, HF-HRV was measured continuously during three specific periods to explore its change over time using a video-recall procedure: (1) resting state; (2) viewing of couple interactions (expressing daily life situations and conflictual interactions); and (3) recovery. Results of multilevel models revealed a u-shaped pattern of HF-HRV responses for men and women across the three periods with a nadir at the midway through the process. This pattern of physiological change (vagal suppression) reflects a flexible response to a stressful situation. Nevertheless, the pattern of physiological responses varied according to the level of relationship satisfaction. Men who were more satisfied in their couple relationship presented greater vagal suppression than dissatisfied men. In contrast, no significant HF-HRV changes were found in women over the different periods of the video-recall procedure and no moderating effect of relationship satisfaction. We discuss the different patterns of physiological responses observed both for men and women in terms of interindividual variability according to the level of their relationship satisfaction. The present study highlights the important role of relationship satisfaction in regulatory processes.     

A Measurement Model of Media Parenting: Differences Across Parent and Child Reports and Youth Age and Sex

For youth raised in the Digital Age, online risks such as cyberbullying and sexting have become increasingly problematic. Since digital media is primarily consumed at home, parents play an important role in mitigating these risks; parents can teach children about online dangers, regulate the amount of time spent online, and, to some extent, curate the online content children see. The present study evaluated the psychometric properties of a four-factor media parenting measurement model introduced by Livingstone et al. (2011) across self-reports of a U.S. sample of parents (M_age?=?38.5) and children (ages 10–14; M_age?=?11.8). To identify meaningful group differences, latent mean comparisons were evaluated across youth age and gender. Confirmatory Factor Analysis results provided good fit to the data for the four-factor media parenting model based on both parent [χ2(201, n?=?306)?=?384.407; RMSEA_{(.046—.063)}?=?.055; CFI?=?.958; TLI/NNFI?=?.951; SRMR?=?.050] and child report [χ2(203, n?=?306)?=?378.033; RMSEA_(.045-.061)?=?.053; CFI?=?.942; TLI/NNFI?=?.934; SRMR?=?.060]. The final latent parenting factors included: Active Mediation, Monitoring, Technology Control, and Restrictive Mediation. Latent mean comparisons revealed that parents of girls reported higher levels of Monitoring than parents of boys, whereas girls reported higher levels of parental Restriction than boys. Similarly, older children and their parents reported lower Restriction than younger children and their parents. Overall, latent mean differences identified between media parenting domains may be important for youth outcomes and provide support for their inclusion as distinct factors in predictive models.