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Mothers' and fathers' self-regulation capacity, dysfunctional attributions and hostile parenting during early adolescence: A process-oriented approach

Published online by Cambridge University Press:  18 February 2019

Melissa L. Sturge-Apple*
Affiliation:
Department of Psychology, University of Rochester, Rochester, NY, USA Mt. Hope Family Center, Rochester, NY, USA
Zhi Li
Affiliation:
Department of Psychology, University of Rochester, Rochester, NY, USA Mt. Hope Family Center, Rochester, NY, USA
Meredith J. Martin
Affiliation:
Department of Educational Psychology, University of Nebraska Lincoln, Lincoln, NE, USA
Hannah R. Jones-Gordils
Affiliation:
Department of Psychology, University of Rochester, Rochester, NY, USA
Patrick T. Davies
Affiliation:
Department of Psychology, University of Rochester, Rochester, NY, USA
*
Author for correspondence: Melissa Sturge-Apple, Mt. Hope Family Center and Department of Psychology, University of Rochester, Rochester, NY14627; E-mail: [email protected].
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Abstract

The parent-child relationship undergoes substantial reorganization over the transition to adolescence. Navigating this change is a challenge for parents because teens desire more behavioral autonomy as well as input in decision-making processes. Although it has been demonstrated that changes in parental socialization approaches facilitates adolescent adjustment, very little work has been devoted to understanding the underlying mechanisms supporting parents’ abilities to adjust caregiving during this period. Guided by self-regulation models of parenting, the present study examined how parental physiological and cognitive regulatory capacities were associated with hostile and insensitive parent conflict behavior over time. From a process-oriented perspective, we tested the explanatory role of parents’ dysfunctional child-oriented attributions in this association. A sample of 193 fathers, mothers, and their early adolescent (ages 12–14) participated in laboratory-based research assessments spaced approximately 1 year apart. Parental physiological regulation was measured using square root of the mean of successive differences during a conflict task; cognitive regulation was indicated by set-shifting capacity. Results showed that parental difficulties in vagal regulation during parent-adolescent conflict were associated with increased hostile conflict behavior over time; however, greater set-shifting capacity moderated this association for fathers only. In turn, father's dysfunctional attributions regarding adolescent behavior mediated the moderating effect. The results highlight how models of self-regulation and social cognition may explain the determinants of hostile parenting with differential implications for fathers during adolescence.

Type
Regular Articles
Copyright
Copyright © Cambridge University Press 2019

Parent-child conflict is a hallmark of the adolescent period and serves as an important context for parental socialization during this developmental stage (Martin, Sturge-Apple, Davies, & Romero, Reference Martin, Sturge-Apple, Davies and Romero2017; Smetana, Campione-Barr, & Metzger, Reference Smetana, Campione-Barr and Metzger2006). Navigating conflict discussions is a challenge for parents during the transition to adolescence because teens desire more behavioral autonomy as well as input in decision-making processes. Consistent with this, parents must flexibly adjust their parenting behaviors to support these developmental changes in their relationship with their child. Although it has been demonstrated that adaptations in parenting facilitate adolescent adjustment (Paulson & Sputa, Reference Paulson and Sputa1996), very little work has been devoted to understanding the underlying mechanisms supporting parents’ abilities to adjust caregiving during this period. Emerging conceptual frameworks of parental self-regulation in the context of stressful parent-child interactions provide a useful heuristic for generating research questions of interest (Deater-Deckard & Sturge-Apple, Reference Deater-Deckard and Sturge-Apple2017). Within these conceptualizations, interactive processes across cognitive and physiological domains provide support to parents with respect to behavioral regulation and adjustment of their intended socialization goals (Crandall, Deater-Deckard, & Riley, Reference Crandall, Deater-Deckard and Riley2015). In particular, both the stress response system and executive functions have been implicated as key dimensions in self-regulation (Hofman, Schmeichel, & Baddeley, Reference Hofmann, Schmeichel and Baddeley2012) with important regulatory effects on caregiving (Deater-Deckard & Bell, Reference Deater-Deckard and Bell2017).

Empirical work has demonstrated the potential for models of self-regulation to inform caregiving processes (e.g., Deater-Deckard & Bell, Reference Deater-Deckard and Bell2017; Sturge-Apple, Jones, & Suor, Reference Sturge-Apple, Jones and Suor2017); however, scant work has tested these conceptualizations during adolescence and the examination of these processes in fathers is virtually absent in the literature. To address these gaps, the present study examined how mothers’ and fathers’ physiological regulation in the context of parent-adolescent discipline was associated with their use of harsh and insensitive conflict behaviors over time. Harsh discipline is reflective of overreactive forms of nonempathetic, power-assertive, and hostile discipline methods (Lorber & O'Leary, Reference Lorber and O'leary2005), and exposure to harsh discipline has been associated adolescents’ poorer psychological and school adjustment (Branje, van Doorn, van der Valk, & Meeus, Reference Branje, van Doorn, van der Valk and Meeus2009; Weymouth, Buehler, Zhou, & Henson, Reference Weymouth, Buehler, Zhou and Henson2016). At the cognitive level, we further tested how a domain of the executive function suite, set-shifting capacity, may operate as an individual difference factor in moderating associations between physiological regulation difficulties and parental harsh discipline. From a process-oriented approach, we also tested whether parental attributions of their adolescent's behavior may operate as a mediating mechanism underlying this moderating effect.

Vagal regulation and caregiving

The autonomic nervous system (ANS) is a primary determinant of psychological arousal and as such is implicated in a number of specific processes including goal-directed behavior, adaptability, emotion regulation, and homeostatic regulation (Porges, Reference Porges2001). A component of the ANS, the parasympathetic nervous system (PNS) is known to play an important role in regulating physiological responses and developing and modulating social behaviors (Porges, Reference Porges2001). Respiratory sinus arrhythmia (RSA) reflects PNS activity via vagal nerve activity, which serves to suppress heart rate below its intrinsic rate (Porges, Reference Porges2001). Broadly, RSA is believed to be integral to an individual's capacity to regulate emotions in social situations (e.g., Butler, Wilhelm, & Gross, Reference Butler, Wilhelm and Gross2006). Under conditions of environmental stress, RSA suppression (reflective of PNS withdrawal) allows for sympathetic activation and produces increased heart rate, which facilitates adaptive responding to environmental demands (Porges Reference Porges2001). Short-term RSA decreases are commonly observed in response to psychological stressors and negative emotional states (Berntson, Cacioppo, Quigley, & Fabro, Reference Berntson, Cacioppo, Quigley and Fabro1994; Beauchaine, Reference Beauchaine2001). Within normative adult populations, RSA suppression in response to environmental stressors has been associated with multiple adaptive outcomes, including positive social and relational functioning and successful emotion regulation (Graziano & Derefinko, Reference Graziano and Derefinko2013; Connell, Dawson, Danzo, & McKillop, Reference Connell, Dawson, Danzo and McKillop2017). In contrast, RSA dysregulation has been implicated in mood disorders (Kemp & Quintana, Reference Kemp and Quintana2013), aggression (Mezzacappa, Tremblay, Kindlon et al., Reference Mezzacappa, Tremblay, Kindlon, Saul, Arseneault, Seguin and Earls1997), and delinquency (Kibler, Prosser, & Ma, Reference Kibler, Prosser and Ma2004).

Given the role of RSA reactivity in associations with behavior, parenting researchers have been increasingly interested in understanding how parental RSA regulation in the face of challenging childrearing situations may be associated with caregiving. A relatively consistent finding is that RSA suppression (vagal withdrawal) is associated with sensitive parenting behaviors. For example, research with parents of infants has shown that, during the reunion phase of the Still-Face Paradigm, higher RSA suppression is associated with lower levels of negative intrusiveness (Mills-Koonce et al., Reference Mills-Koonce, Propper, Gariepy, Barnett, Moore, Calkins and Cox2009) and higher levels of parental sensitivity (Moore et al., Reference Moore, Hill-Soderlund, Propper, Calkins, Mills-Koonce and Cox2009). Research has also indicated that highly sensitive mothers display greater RSA withdrawal compared with less sensitive mothers in reaction to hearing infant cries (Joosen et al., Reference Mezzacappa, Tremblay, Kindlon, Saul, Arseneault, Seguin and Earls2003).

Recent work has extended this line of inquiry to examine RSA regulation in parents during demanding parenting contexts such as parental discipline and conflict discussions. For example, Lorber and O'leary (Reference Lorber and O'leary2005) recorded mothers’ RSA during a challenging discipline task and found that difficulties in RSA suppression were associated with overreactive and hostile discipline behaviors with their toddlers. Discipline represents a particularly challenging domain of caregiving because parents frequently need to overcome negative mood states to regulate their behavior toward their child. This may become even more important during early adolescence because the frequency and intensity of conflict interactions increase (e.g., Allison & Schultz, Reference Allison and Schultz2004; Laursen, Coy, & Collins, Reference Laursen, Coy and Collins1998). To date, few studies examine these associations in adolescence; however, Connell et al. (Reference Connell, Dawson, Danzo and McKillop2017) found that higher RSA suppression during a mood induction was related to less parental anger during a subsequent parent-adolescent conflict discussion. In contrast, reduced suppression to conflict discussions between parent and adolescents has also been linked with emotionally unavailable caregiving within the same discussion task (Zhang, et al., Reference Zhang, Cui, Han and Yan2017). These findings are consistent with previous research suggesting that difficulties in autonomic regulation in response to a stressor may undermine individual's ability to facilitate appropriate emotion regulation (Beauchaine, Reference Beauchaine2001; Porges, Reference Porges2001). To examine this, we tested whether parental difficulties in RSA suppression during a parent-adolescent conflict task were associated with greater use of hostile and insensitive conflict behaviors over time. To our knowledge, no study has charted these associations longitudinally.

Moderating role of set-shifting capacity

Recent neurobiological conceptualizations of self-regulation have proposed that neurological processes serve an important regulatory role in controlling the influence of physiological stress response system processes on behavior (Barrett & Fleming, Reference Barrett and Fleming2011; Thayer & Lane, Reference Thayer and Lane2000). Consistent with this, previous research has documented the moderating role of executive functions in process models of parenting (e.g., Deater-Deckard, Wang, Chen, & Bell, Reference Deater-Deckard, Wang, Chen and Bell2012; Sturge-Apple, Suor, & Skibo, Reference Sturge-Apple, Suor and Skibo2014). Deater-Deckard et al. (Reference Deater-Deckard, Sewell, Petrill and Thompson2010) demonstrated that poorer working memory capacity was associated with mothers’ negativity toward their children, including expressions of anger, frustration, and annoyance during challenging parent-child interactions. Although previous work in this domain has primarily focused on executive functions broadly or working memory capacity specifically, in the current study, we were interested in examining set shifting as a potential moderator of associations between physiological reactivity and parent-adolescent conflict.

In particular, set shifting is proposed as the ability to move back and forth between multiple tasks, operations, or mental sets and stability (Monsell, Reference Monsell2003). As such, set shifting supports the ability of individuals to take multiple perspectives and consider alternative approaches, actions, or directions while actively maintaining the task goal (Diamond, Reference Diamond2013; Goschke, Reference Goschke2000). Translated to parenting, this component of the executive suite may serve to reduce rigid response contingencies and allow for greater plasticity in caregiving in the service of socialization goals. This may be especially important for discipline contexts during adolescence, given the high degree of emotional arousal and conflict between parent and adolescent goals. To date, however, no studies have tested how set shifting may operate to regulate parental physiological reactivity within discipline contexts in adolescence. To address this gap, we examined whether set-shifting capacity functions in a moderating role in the association between parental RSA reactivity and harsh parenting. Given changes in parent-child relationship dynamics, particularly around issues of control and parental authority, it is highly likely that parental set-shifting capacity will be particularly relevant for parental regulation during this developmental period. Parents with high set-shifting capacity may be more successful in overriding physiological dysregulation during parent-adolescent conflict to enact less harsh caregiving. Conversely, for individuals who possess lower set-shifting capacity, physiological reactions may assume primacy in the dictation of behavioral responses.

Mediated moderation: The role of child attributions

Finally, family process models emphasize the importance of identifying the mechanisms underlying parental susceptibilities to relationship contexts within the family (e.g., Belsky, Reference Belsky1984; Sturge-Apple, Cicchetti, Davies, & Suor, Reference Sturge-Apple, Cicchetti, Davies and Suor2012). A final goal of the present study was to examine whether the moderating role of parental set-shifting capacity in associations between physiological regulation to conflict and hostile parent-adolescent conflict behavior could be explained by parental attributions regarding child behavior. Attributions reflect the manner in which parents cognitively interpret the causes of their child's misbehavior (e.g., Slep & O'Leary, Reference Slep and O'Leary1998; Snarr, Slep, & Grande, Reference Snarr, Slep and Grande2009). Social cognition models of parenting have underscored how parental attributions may operate as explanatory mechanisms underlying problematic caregiver behaviors (Bugental & Johnston, Reference Bugental and Johnston2000; Stern & Azar, Reference Stern and Azar1998). In particular, parental attributions characterized by the belief that the child's misbehavior is intentional and under a high level of control have been referred to as “dysfunctional child-oriented attributions” and are associated with greater use of punitive and overreactive parenting behaviors (Dix, Ruble, Grusec, & Nixon, Reference Dix, Ruble, Grusec and Nixon1986; Leung & Slep, Reference Leung and Slep2006; Smith & O'Leary, Reference Smith and O'Leary1995; Strassberg & Treboux, Reference Strassberg and Treboux2000).

Although attributions are conceptualized as stable cognitive processes, previous research has also demonstrated the malleability of parental attributions and the potential effect on parenting (e.g., Martin, Sturge-Apple, Davies, & Romero, Reference Martin, Sturge-Apple, Davies and Romero2017; Slade, Belsky, Aber, & Phelps, Reference Slade, Belsky, Aber and Phelps1999). Using a research design in which maternal child-centered responsibility attributions were experimentally manipulated, Slep & O'Leary (Reference Slep and O'Leary1998) found that mothers who were told that their child would willfully and purposefully misbehave displayed harsher and overreactive discipline as well as greater anger compared with control mothers. Furthermore, maternal attributions have been demonstrated to operate as an underlying mechanism in pathways between difficulties in regulating physiological reactivity during parent-child stressor paradigms and maternal sensitivity (e.g., Leerkes, Su, Calkins, Supple, & O'Brien, Reference Leerkes, Su, Calkins, Supple and O'brien2016). Moreover, research has suggested that the association between parental attributions and harsh caregiving may be dependent upon key individual difference variables (e.g., Wang, Deater-Deckard, & Bell, Reference Wang, Deater-Deckard and Bell2016), including executive functions. For example, Sturge-Apple, Suor, & Skibo (Reference Sturge-Apple, Suor and Skibo2014) found that mothers with higher working memory capacity were better able to gate off the associations between dysfunctional child-oriented attributions and harsh caregiving behaviors during discipline tasks compared with mothers with poorer working memory skills who were more susceptible to the influence of negative child attributions with respect to parenting. Parental set-shifting capacity may therefore gate off the effect of parental physiological reactivity in the activation of dysfunctional attributional biases associated with child behavior and in turn reduce the potential for hostile conflict behavior with their adolescents.

Although the potent role of dysfunctional child-oriented attributions on parenting is well documented in the literature, limited work has considered parental social cognition within process models of parental self-regulation. Furthermore, much of the literature testing associations between attributions and parenting has focused on preschool and elementary school-aged children. Less is known about the role that parental attributions may play in parenting during adolescence. This gap in knowledge is noteworthy given that increases in autonomy, reasoning skills, and impulsive behavior during adolescence (Allen & Sheeber, Reference Allen, Sheeber, Allen and Sheeber2008) may result in parent's perceptions of adolescents having greater responsibility for and control of their behaviors; as such, attributional associations may be particularly strong. Sheeber et al. (Reference Sheeber, Johnston, Chen, Leve, Hops and Davis2009) found, for example, that negative parental attributions for adolescent behavior during a parent-adolescent problem-solving discussion were associated with harsher parenting as observed during these same parent-adolescent discussions. Thus, parental dysfunctional child-oriented attributions may operate as a key mechanism underlying the moderating role of set-shifting capacity in the association between parental physiological dysregulation and hostile discipline practices during early adolescence.

In summary, the present study examines a set of key questions that integrate neurobiological and neuropsychological models using a multi-informant, multimethod, and multilevel approach within a longitudinal design. Based upon previous empirical findings, we hypothesized that parental difficulties in vagal regulation during conflict would be associated with use of more hostile and insensitive conflict behaviors over time. Furthermore, we hypothesized that parental set-shifting capacity would moderate these associations such that parental vagal dysregulation and difficulties with discipline would be more pronounced for those parents with lower set-shifting capacity. Finally, we hypothesized that dysfunctional child-oriented attributions would mediate this moderating effect. Over the past decade, there has been a growing body of research demonstrating the role of self-regulation within mothers, particularly within infancy and early childhood periods. Our ability to simultaneously examine these processes in mothers and fathers may yield new insights into the physiological and cognitive control capacities for parenting within discipline contexts during early adolescence. Given the dearth of research testing whether these same associations hold similarly for mothers and fathers, we made no a priori predictions regarding the role of parent gender.

Methods

Participants

Participants for this study included 193 families recruited from a city in a Northeastern area of the United States. Interested families were included in the project if they met five criteria: (i) they had an adolescent between the ages of 12 and 14; (ii) the target adolescent and two parental figures had been living together for at least the previous 3 years; (iii) at least one parental figure was the biological parent of the target teen; (iv) all participants were fluent in English; and (v) the target adolescent had no significant cognitive impairments. The majority of parents were married or engaged (87%); another 12% reported being in a committed, long-term relationship. Adolescents lived with their biological mother in the vast majority of cases (94%). Girls comprised 50% (n = 97) of the sample and adolescents averaged 12.4 years of age at Time 1. The median household income for this sample ranged from $55,000 to $74,999, with 14% of the sample reporting a household income less than $23,000. Median parental education was an Associate's degree (i.e., completed 2 years of college), with most parents (85%) attending at least some college. A smaller subset of the adults in this sample (12%) earned a high school diploma or GED as their highest degree. The sample largely identified themselves as White (74%), followed by Black (13.5%) and mixed race (10%), and some identified as being of Hispanic or Latino ethnicity (12%).

Procedures

At each of the two waves of data collection, mothers, fathers, and their adolescent visited the laboratory for a single, 3-hour visit. The laboratory included one room designed to resemble a living room and equipped with audiovisual equipment to record family interactions; other comfortable rooms allowed participants to complete confidential interviews, computerized assessments, and survey measures. This study was approved by the institutional review board. Families received monetary compensation for their participation.

During the first measurement occasion, families participated in a conflict discussion task (e.g., Saxbe, Margolin, Spies Shapiro, & Baucom, Reference Saxbe, Margolin, Spies Shapiro and Baucom2012). Before the task, each family member chose a topic they believed was a common source of disagreement. They were then brought together and given 7 minutes to (i) choose one topic to discuss and (ii) attempt to reach a solution. The most common topics chosen were chores (36%), followed by use of electronics (e.g., TV, computer, videogames, phone) (13%), fighting with siblings (10%), and schoolwork (10%). Families were instructed to discuss the topic as they would at home, working toward a resolution. When asked to compare the discussion with those in the home, 48% of the parents reported that the nature of the laboratory discussion was about the same as ones they normally have at home, with smaller percentages indicating it was slightly more positive or negative when compared to home. Parent electrocardiogram (ECG) was recorded during the task using BioGraph Infiniti software with a precordial, two-pole ECG lead. Data from these leads were transmitted to a portable unit and were stored on a secure digital (SD) card in that unit. The ECG signal was sampled at 300 Hz and had a voltage range of –2.5 to 2.5 V. After each participant visit, ECG data were extracted from the SD card and processed offline.

Measures

Parent hostile conflict behaviors

Adolescents completed the Conflict Behavior Questionnaire (CBQ; Prinz, Foster, Kent, & O'Leary, Reference Prinz, Foster, Kent and O'Leary1979) at Waves 1 and 2. The CBQ contains 20 items answered using a true-false response format that ask about the nature of conflicts that the adolescent has with his or her parent (e.g., “My father is bossy when we talk,” “my mother puts me down”). The CBQ has demonstrated high internal consistency, reliability, and good predictive validity (Foster & Robin, Reference Foster, Robin, Mash and Terdal1988; Prinz et al., Reference Prinz, Foster, Kent and O'Leary1979). Items were composited to create the scale. Internal consistency was high ranging, from .87 to .91 across adolescent reports on mothers and fathers across both waves.

Dysfunctional child-oriented attributions

At Wave 2, parents completed the Parent Cognition Scale (Snarr, Slep, & Grande, Reference Snarr, Slep and Grande2009), a 30-item measure designed to assess the degree to which parents endorse dysfunctional child-centered responsibility attributions for child misbehavior. Parents were asked to think about their target adolescent's behavior over the past 2 months and to rate various causes for misbehavior on a 6-point Likert-type scale ranging from 1 (always true) to 6 (never true). Ten items attribute child misbehavior to factors under the adolescent's control, such as adolescent willful intent to misbehave and/or adolescent desire to have a negative effect on the parent (e.g., “My child tries to push my buttons”). Internal consistency was high for mothers (α = .91) and fathers (α = .89). Items were recoded such that higher scores indicate higher levels of dysfunctional child-responsible attributions of children misbehavior.

Set-shifting capacity

At Wave 1, parents were administered the Trail Making Task according to the guidelines presented by Strauss et al. (Reference Strauss, Sherman and Spreen2006). The test consists of two parts, both of which consist of 25 circles distributed on a sheet of paper. In part A, the circles are numbered from 1 to 25 and subjects are required to connect the consecutively numbered circles. In part B, 13 of the circles are numbered from 1 through 13; 12 of the circles are labeled with letters A–L. Subjects are required to connect the numbers from 1 through 13 and the letters A–L while alternating between the two sequences (Giovagnoli, Del Pesce, Mascheroni, Simoncelli, Laicona, & Capitani, Reference Giovagnoli, Del Pesce, Mascheroni, Simoncelli, Laiacona and Capitani1996). As such, part B assesses cognitive shifting and flexibility and has been shown to be reflective of set-shifting capacity (Chaytor, Shmitter-Edgecomb, & Burr, Reference Chaytor, Schmitter-edgecombe and Burr2006). Total time in seconds to complete part B was recorded representing the Trail Making Task-B direct scores. Longer times to complete the task, which are reflective in higher scores, indicate lower set-shifting capacity.

RSA reactivity

Parental RSA reactivity was indicated by heart rate variability (HRV). HRV was calculated using CardioPro Infiniti's HRV Analysis Module. Before calculating estimates of HRV, the digitalized ECG signals were examined and artifactual detections of R-wave occurrences were corrected. The square root of the mean of successive differences (RMSSD) in interbeat intervals was determined as a time domain estimate of HRV. This measure has been shown to provide a reliable estimate of cardiac vagal activity (Task Force, 1996) and is robust to respiratory influences during speech tasks (e.g., Hill, Siebenbrock, Sollers, & Thayer, Reference Hill, Siebenbrock, Sollers and Thayer2009). For purposes of analyses, we were interested in parameterizing parental reactivity within the confines of the task itself by comparing parental HRV at the start of the discussion with the end of the task. In examining the data, it was evident that not all families had Interbeat Interval (IBI) recorded for the entire seventh minute of the task because of some experimenters ending the task early; however, 100% of the families had enough IBI data during the sixth minute to calculate HRV. To be consistent in our parameterizing of reactivity across all families, we therefore used the first and sixth minutes of the task reflecting change during the task. The mean RMSSD score at baseline was 44.37 (standard deviation [SD] = 27.03) for mothers and 40.88 (SD = 28.05) for fathers. The mean RMSSD score during the sixth minute was 39.97 (SD = 25.70) for mothers and 38.40 (SD = 29.19) for fathers. To parameterize HRV reactivity for analyses, we used a residualized change score in which RMSSD in the final minute of the task was regressed on RMSSD in the beginning of the task. The unstandardized predicted score, which reflects change while controlling for initial levels, were saved and used in analyses. Higher values on the residualized change score indicate less HRV suppression across the task, whereas lower values indicate greater HRV suppression across the task.

Covariates
Observed parental conflict behavior

Observer ratings of parent behavior during the conflict task were collected using the Problem Discussion Coding System (Sturge-Apple & Martin, Reference Sturge-Apple and Martin2016), a continuous rating system designed to capture parental behavior during a problem discussion task. The Problem Discussion Coding System required trained observers to watch the entire parent-adolescent interaction and provide a continuous rating from 1 (not at all characteristic) to 9 (highly characteristic) based on the frequency, pattern, and intensity of each dimension of parent behavior. Hostility referred to parent's use of harsh, angry, critical, and/or rejecting behavior toward the adolescent. Humor/laugh reflected displays of humor and statements primarily lighthearted in tone including laughing or smiling in an amused, pleasant manner, and attempts at good-natured humor. Two teams consisting of two independent coders were responsible for coding mothers and fathers separately. Within a team, coders overlapped on 20% of the interactions; resulting intraclass correlation coefficients ranged from .73 to .80 across the four codes.

Marital satisfaction

Each partner's relationship satisfaction was assessed with the four-item Couples Satisfaction Index (Funk & Rogge, Reference Funk and Rogge2007), which provides global evaluations of romantic relationships (e.g., “I have a warm and comfortable relationship with my partner,” “How rewarding is your relationship with your partner?”). This measure has been extensively used and has demonstrated strong validity and reliability across diverse partnerships (e.g., Peltz, Rogge, & Sturge-Apple, Reference Peltz, Rogge and Sturge-Apple2018; Rogge, Fincham, Crasta, & Maniaci, Reference Rogge, Fincham, Crasta and Maniaci2017). Items were rated on 6- and 7-point response scales and summed so that higher scores indicated higher levels of satisfaction and demonstrated high internal consistency in the current sample (αmales = .93, αfemales = .94).

Results

Missing data in this study came from two sources. First, 16 families (8% of the sample) did not participate in the second wave of data collection. A comparison of these families with those who returned for the second wave evidenced no differences on any of the variables collected at Wave 1. Second, 15 mothers and 6 fathers did not have valid ECG assessments because of a computer malfunction. In addition, two mothers and two fathers had RMSSD values that were greater than 3 SD from the mean and were removed. These values were treated as missing data. We performed Little's missing completely at random test for all variables included in the analyses. This test suggested that the data were missing completely at random: χ2 (39) = 49.284, p = .13.

Table 1 shows the M, SD, and correlations for the main variables in the study. We examined whether mean differences in primary study variables were present across parent gender. Results of one-way analysis of variance comparing mothers and fathers indicated no significant mean differences on constructs with the exception of set-shifting capacity, with mothers exhibiting greater set-shifting compared with fathers: F (1, 382) = 11.60, p < .01.

Table 1. M, SD, and the bivariate correlations for the primary variables

Note. HRV = heart rate variability; M = mean; Obs = observed; SD = standard deviation; W = Wave. *p < .10, **p < .05, ***p < .001.

Primary analyses

To test our mediated moderation model, a series of path models were specified using Amos 24 with full information maximum likelihood to retain the full sample (Enders & Bandalos, Reference Enders and Bandalos2001). Before running analyses, parent HRV reactivity and set-shifting capacity were standardized to avoid problems with multicollinearity (Aiken & West, Reference Aiken and West1991). Models were run in a stepwise fashion to examine the influence of main effects on parental harsh conflict behavior at Wave 2 with an autoregressive effect controlling for Wave 1 harsh conflict. In all models, child gender, parent hostility, and humor/laugh during the conflict discussion; parent marital relationship satisfaction; and parent baseline HRV were included as exogenous covariates of the model. To examine the potential influence of partner HRV reactivity, we ran models specifying partner HRV reactivity as a covariate; however, primary findings were not affected by the inclusion of the partner's reactivity and it was removed from the final model analyses.

Our first model examined the main effects of parental HRV reactivity and set-shifting capacity on harsh conflict behavior. The next model included the interaction effect of HRV reactivity and set-shifting capacity. Significant interactions were clarified through post hoc statistical tests (e.g., simple slope analyses) to examine whether the regression slopes representing associations between parental HRV reactivity and parenting were significantly different from zero for different levels of set-shifting capacity (Preacher, Curran, & Bauer, Reference Preacher, Curran and Bauer2006). Upon establishing significant moderating effects, we next tested whether parental dysfunctional child-oriented attributions mediated the moderated pathways. This represents a first stage mediated moderation model (e.g., Edwards & Lambert, Reference Edwards and Lambert2007). Within this framework, mediated moderation is supported when the moderator similarly influences the pathway between parental HRV reactivity and the mediating variable; in turn, the mediating variable is associated with the parenting outcome variables.

We first examined a model in which HRV reactivity and set-shifting capacity were specified as potential predictors of change in parental hostile conflict behavior. In addition, covariances were specified among all exogenous predictors. The model was fully saturated with zero degrees of freedom and therefore had perfect model fit (i.e., χ2 (0) = 0, comparative fit index = 1.00, Tucker–Lewis index = 1.00, root mean square error of approximation = 0.00). Turning to the pathway estimates, fathers with dampened HRV suppression (i.e., higher residual HRV reactivity score), reflecting poorer cardiac regulation, demonstrated increases in hostile conflict behavior over time (β = .16, p < .02). For mothers, dampened HRV suppression also significantly associated with greater increases in their hostile conflict behaviors over time (β = .16, p < .05). Comparisons between mothers’ and fathers’ HRV reactivity using the critical ratio of difference test indicated no significant difference in model pathways by parent gender (completely randomized design = 0.41, p > .05). This suggests that both mothers’ and fathers’ conflict behaviors may be similarly affected by their physiological dysregulation during interactions with their adolescent. Results also suggest that set-shifting capacity did not directly impact change in parental conflict behavior over time for both mothers (β = –.02, p = .79) and fathers (β = .09, p = .15).

Given the direct effects of parental HRV reactivity on conflict behaviors, we next evaluated whether parents’ set-shifting capacity moderated this association. An interaction between HRV reactivity and set-shifting capacity was included in the model as a predictor. With covariances specified among all exogenous predictors, the model was again fully identified. Results indicated that the interaction between HRV reactivity and set-shifting capacity was significant for fathers, but not mother's hostile conflict behavior over time (Table 2). A comparison of these pathways across mothers and fathers using the critical ratio of difference test indicated a significant difference in this pathway by parent gender (completely randomized design = 3.85, p < .05), suggesting that the pathway was significantly stronger for fathers compared with mothers. To illuminate the nature of this interaction, simple slope analyses for fathers were conducted with low and high set-shifting capacity operationalized as 1 SD from the mean, respectively. Given that higher completion time on the set-shifting measure indicates poorer set-shifting capacity, these were graphed at +1 SD from the mean. Conversely, shorter completion times on the set-shifting measure indicated higher set-shifting capacity and were graphed at –1 SD from the mean. A graph of this interaction is presented in Figure 2. Post hoc simple slope analyses for fathers revealed that the simple slope for poorer set-shifting capacity (+1 SD) was significantly different from zero (B = 1.71, p ≤ .001) and indicated that for fathers with poorer shifting capacity, increased difficulties in HRV regulation were associated with elevated hostile conflict behavior over time. In contrast, the slope for greater set-shifting capacity (–1 SD) was not significantly different from zero (B = –0.46, p = .23), suggesting that for fathers with higher set-shifting capacity, physiological reactivity was not associated with hostile conflict behavior over time.

Figure 1. Conceptual model outlining pathways examined in testing process pathways. W = Wave.

Figure 2. HRV reactivity × set-shifting capacity interaction on changes of father hostile conflict behavior. Note. Dashed line represents nonsignificant slope. High and low HRV reactivity were calculated at ±1 SD from the mean. Low HRV reactivity referred to dampened HRV suppression during parent-adolescent conflict discussion. HRV = heart rate variability; SD = standard deviation.

Table 2. Pathway coefficient estimates testing interactive effects of HRV reactivity and set-shifting capacity on parent hostile conflict behavior with covariates and autoregressive effects (N = 193)

Note. HRV reactivity indicates higher residual HRV reactivity score reflects dampened HRV suppression and thus poorer cardiac regulation. HRV = heart rate variability; SE, standard error; W, Wave.

Our final set of analyses followed up the significant interaction effect for fathers by testing the presence of mediated moderation through paternal dysfunctional child-oriented attributions (Table 3). We specified a model in which fathers’ dysfunctional child-oriented attributions and hostile conflict behavior at Wave 2 were regressed onto predictor variables. Model fit was poor: χ2 (2) = 35.75, p = .00, comparative fit index = 0.86, Tucker–Lewis index = –8.48, root mean square error of approximation = 0.21. Upon inspection, it was determined that poor fit was a function of the lack of a specification of the association between Wave 1 parental hostile conflict behavior and Wave 2 dysfunctional child-responsible attributions. To address this, we specified a covariance between these two constructs, resulting in a fully identified model and by extension acceptable model fit. Importantly, primary findings in the study were consistent whether this path was included or not. Analyses revealed that the interaction between fathers’ HRV reactivity and set-shifting capacity was significantly associated with dysfunctional child-oriented attributions. In turn, fathers’ dysfunctional child-oriented attributions were associated with increased hostile conflict behavior over time. Post hoc simple slope analyses were again conducted (Figure 3). Results indicated that for fathers with poorer set-shifting capacity (i.e., +1 SD of the time needed for completing trail-making task), dampened HRV suppression (i.e., increased difficulty in HRV regulation) significantly predicted fathers’ dysfunctional child-oriented attributions at Wave 2 (B = 0.24, p = .02). The same associations were not significant for fathers with greater set-shifting capacity (B = –0.01, p = .51).

Figure 3. HRV reactivity × set-shifting capacity interaction on Wave 2 dysfunctional child-oriented attributions for fathers. Note. Dashed line represents nonsignificant slope. High and low HRV reactivity were calculated at ±1 SD from the mean. Low HRV reactivity referred to dampened HRV suppression during parent-adolescent conflict discussion. HRV = heart rate variability; SD = standard deviation.

Table 3. Pathway coefficient estimates testing the mediating effect of dysfunctional child-oriented attributions on hostile conflict behavior for fathers (N = 193)

HRV = heart rate variability; SE, standard error; W, Wave.

To test for mediated moderation, a bootstrapping test was performed with PRODCLIN software (MacKinnon, Fritz, Williams, & Lockwood, Reference MacKinnon, Fritz, Williams and Lockwood2007) on the indirect pathway involving dysfunctional child-oriented attributions. The indirect pathway achieved significance, such that the combination of dampened HRV suppression and poorer set-shifting capacity predicted more dysfunctional child-responsible attributions and, thereby, increases in hostile conflict behavior by fathers between the two waves (estimate = 0.18; bootstrapped 95% confidence interval: 0.02, 0.38).

Discussion

Self-regulation models of parenting stress the primacy of regulatory processes in shaping caregiving. Within these frameworks, a main assumption is that physiological and cognitive functioning operate to either support or undermine parent's ability to care for their children (e.g., Paulson & Sputa, Reference Paulson and Sputa1996). Toward adopting a process-oriented approach to family research, the present study represents the first attempt to examine both physiological and cognitive processes with respect to parenting over time in mothers and fathers during adolescence. Our findings suggest that parental physiological regulation and cognitive control capacities serve important functions in reducing hostile parent conflict behaviors. In addition, our findings point to the importance of examining these processes in both mothers and fathers, as physiological and cognitive regulation may operate differently depending upon parent gender in process models of parenting. Finally, we identify how parental social cognitions about their adolescent may operate as a potential explanatory construct in process models of self-regulation.

In our first analysis, findings determined that parents’ difficulties in HRV suppression in the context of parent-adolescent conflict discussions were associated with increases over the course of 1 year in hostile and insensitive conflict behavior with their adolescent. This finding is consistent with models of HRV reactivity and emotion regulation, which suggest that short-term withdrawal of cardiac vagal control is an adaptive response of the stress response system that allows for greater ability to contend with external stressors. As such, reduced vagal suppression in parent-adolescent contexts may indicate difficulties in activating coping mechanisms in the face of conflictual interactions, resulting in greater use of harsh caregiving over time. RSA dysregulation has been implicated in problematic caregiving behaviors. For example, parents at elevated risk for child maltreatment demonstrate dampened RSA suppression to challenge tasks compared with low-risk parents, suggesting that high-risk parents may have reduced RSA suppression and conversely less physiological flexibility in response to environmental demands (Crouch et al., Reference Crouch, Hiraoka, McCanne, Reo, Wagner, Krauss and Skowronski2015). In addition, model testing results suggest that for both mothers and fathers, difficulties in physiological regulation during parent-adolescent conflict interactions may undermine caregiving over time, a finding that has been previously undocumented in the literature. Taken together, the present study points to the potential importance of ANS functioning within the stress response system as a determinant of caregiving behaviors during adolescence. Our findings corroborate earlier work within the broader literature, which has demonstrated that maternal difficulties in ANS regulation during challenging childrearing interactions in early childhood is associated with decreased sensitivity as well as increased harsh caregiving behaviors (Sturge-Apple, Skibo, Rogosch, Ignjatovic, & Heinzelman, Reference Sturge-Apple, Skibo, Rogosch, Ignjatovic and Heinzelman2011). The current study extends this research to adolescence, however, suggesting that the regulatory function of physiological systems may operate across developmental periods, with important implications for parenting during the transition across adolescence. It will be important for future research to test whether these processes are germane to the ANS branch of the stress response system or may be more broadly represented in other domains such as neuroendocrine functioning.

Second, we found evidence that set-shifting capacity may operate as a potential individual difference variable with respect to the association between RSA reactivity and fathers increased hostile conflict behavior. This moderating role of set-shifting capacity on physiological functioning is consistent with conceptual frameworks that propose the integration of cognitive and physiological systems within the brain and serve in the control of emotion and social behavior (e.g., Thayer & Lane, Reference Thayer and Lane2000). In particular, regions within the prefrontal cortex support aspects of executive functions including shifting attention, consideration of alternative responses and goals, and effortful control. In turn, these cognitive processes are proposed to operate in a top-down manner with respect to physiological reactivity to environmental challenge. In support of this, studies on humans and animals have demonstrated that activity within the prefrontal cortex modulates cardiovascular activity, including HRV (Verberne & Owens, Reference Verberne and Owens1998), suggesting the integration of neurological processes. Our findings build upon previous research documenting interactive effects of global executive functioning and physiological reactivity in the etiology of harsh parenting (e.g., Deater-Deckard & Bell, Reference Deater-Deckard and Bell2017).

Although rarely studied in research on parenting, greater set-shifting capacity has been implicated in supporting effective emotion regulation (McRae, Jacobs, Ray, John, & Gross, Reference McRae, Jacobs, Ray, John and Gross2012). Given the emotionally charged context of parent-adolescent conflict, parental set shifting may be uniquely important in modulating parental arousal states in the face of a challenging adolescent. In the present study, higher set-shifting capacity was effective in gating off the impact of difficulties in HRV regulation on change in hostile conflict behaviors over time. The locus of the moderating effect was associated with reduced set-shifting capacity, however, such that as difficulties in HRV regulation increased, these parents exhibited greater hostile conflict over time. During conflictual discussions during adolescence, reduced set-shifting capacity may inhibit the ability of parents to disengage from rigid goal pursuit and consider alternative means and objectives with respect to resolving conflicts with their adolescent. As such, lower capacities within this domain of cognitive control may not be effective in regulating parental difficulties in physiological activation, resulting in greater use of hostile and harsh caregiving responses. Considered within a developmental perspective, fathers with poorer set-shifting capacity may experience greater difficulties in adapting to the changing nature of parental control during the transition through adolescence.

In an attempt to elucidate an underlying process that may serve to explain the moderating role of set-shifting capacity, we further examined dysfunctional child-oriented attributions as a mediating mechanism. Results supported the role that fathers’ dysfunctional child-oriented attributions regarding the locus of adolescent behavior may play an explanatory role in this moderating effect. Parental attributions reflect a social cognitive component of parenting and have been demonstrated to be important predictors of caregiving behaviors (e.g., Bugental & Johnston, Reference Bugental and Johnston2000), and, in particular, harsh and insensitive parenting (Leung & Slep, Reference Leung and Slep2006). Self-regulation frameworks suggest that physiological arousal in challenging contexts may activate negative attributional biases as a means for processing and rationalizing negative stimuli, which eventuates in associated behavioral manifestations (e.g., Brown & Rogers, Reference Brown and Rogers1991; Lemerise & Arsenio, Reference Lemerise and Arsenio2000). In support of this, parental difficulties in physiological regulation have been associated with attributional processes related to child behavior. For example, in a recent study, Leerkes et al. (Reference Leerkes, Su, Calkins, Supple and O'brien2016) found that mothers’ physiological arousal during stressful interactions with her infant were associated with her attributions around infant distress and subsequent maternal sensitivity. The pathway between a father's HRV regulation and increased harsh discipline was still significant with the mediational pathway in the model, indicating that attributions did not fully explain this direct effect. The findings demonstrate however that parental attributions may operate as one potential mediating mechanism linking physiological reactivity to hostile and insensitive conflict behaviors over time during early adolescence. Furthermore, consistent with previous research examining the regulatory role of executive functions on attributions (Sturge-Apple et al., Reference Sturge-Apple, Jones and Suor2017), parental set-shifting capacities may also serve to potentiate the influence of physiological reactivity on parental dysfunctional child-oriented attributions and conversely parental caregiving around parent-adolescent conflict.

Finally, the present study revealed differences between mothers and fathers in process pathways that bear mention. Against the surfeit of studies examining self-regulation within mothers, our findings underscore the importance of research within this area of study to include fathers. Recent cultural shifts regarding father involvement and concomitant research exploring the differential effects of mothers and fathers on children's development highlight the value and effect of paternal parenting over and above maternal parenting (Cabrera, Tamis-LeMonda, Bradley, Hofferth, & Lamb, Reference Cabrera, Tamis-LeMonda, Bradley, Hofferth and Lamb2000; Lamb, Reference Lamb and Lamb2010). Additionally, father's parenting has been shown to uniquely influence children's cognitive, social, and academic development (Tamis-LeMonda, Shannon, Cabrera, & Lamb, Reference Tamis-LeMonda, Shannon, Cabrera and Lamb2004). Research has also suggested that fathers and mothers may approach parenting differently during adolescence (Steinberg & Silk, Reference Steinberg and Silk2002), but few studies include both fathers and mothers within this developmental period. With respect to the current study, process pathways regarding physiological difficulties, attributional biases, and hostile and insensitive parenting appeared to be more robust for fathers compared with mothers. This is consistent with the father vulnerability hypothesis that suggests that fathers’ caregiving may be more susceptible to contextual and relational factors than that of mothers (Cummings, Merrilees, & Ward-George, Reference Cummings, Merrilees, George and Lamb2010) by virtue of their parental role being less scripted and socially defined. Research has born this hypothesis out in adolescence with respect to family dynamics (Stevenson, Fabricius, et al., Reference Stevenson, Fabricius, Cookston, Parke, Coltrane, Braver and Saenz2014); however, given this is one of the first studies to examine self-regulation capacity within fathers, our findings require replication in future work.

We did not find evidence of associations between mother's cognitive control capacities and model pathways. This stands in contrast to the body of work demonstrating effects of maternal executive functions in the etiology of caregiving behaviors, primarily in mothers of infants and young children. It is possible that the lack of findings for mothers in the present study reflects that different executive functioning domains may operate differently for mothers in the context of parenting. For example, Shaffer and Obradovic (Reference Shaffer and Obradović2017) found differential pathways for mothers between parental inhibitory control and emotion regulation in the prediction of parenting. Moreover, Sturge-Apple et al. (Reference Sturge-Apple, Jones and Suor2017) reported that, within mothers, inhibitory control might be more proximal in supporting sensitive caregiving within discipline contexts in comparison to working memory capacity. Different domains of cognitive control may operate differently for mothers and fathers; however, given the lack of research comparing self-regulation capacities across mothers and fathers, this is only speculative; future research is needed to bear this out.

Despite the potential utility of the present research, there are several limitations that warrant discussion. First, our sample consisted of predominantly White, middle class, two-parent families drawn from a community-based sample. As such, caution should be exercised in applying these findings to other types of families (Sturge-Apple, Davies, Cicchetti, & Fittoria, Reference Sturge-Apple, Davies, Cicchetti and Fittoria2014). For example, there is evidence that in African American cultures, harsh discipline is much more normative, and can even serve as a protective parenting practice when children are at risk of experiencing harsher institutional and societal treatments (Deater-Deckard, Dodge, Bates, Pettit, & Gregory, Reference Deater-Deckard, Dodge, Bates and Pettit1996; Pinderhughes, Dodge, Bates, Pettit, Zelli, & Arnaldo, Reference Pinderhughes, Dodge, Bates, Pettit and Zelli2000). Future research should consider cultural and ethnic differences in these effects, as well as the meaning and intention behind parental discipline practices.

Second, our assessment of parent hostile conflict behaviors relied on a single assessment. Our use of adolescent reports on conflict behaviors helped to reduce shared method variance with our parental reports on child-oriented attributions; however, our findings would have been more robust if additional indicators or assessments were included. Third, given the constraints of assessing multiple domains of functioning within family research, set-shifting capacity was measured using a single task. Although this task has been reported as a reliable and valid assessment of set shifting, we recognize that it is important to measure executive functions using multiple assessments when possible. Fourth, although families indicated that the discussion task was largely similar to those at home, our conflict discussion may not represent actual discussions in the home. Fifth, the present study did not include a silent baseline period as the initial value for parameterizing parental HRV reactivity. Although we were interested in capturing individual functioning at the beginning of the task as well as the peak of the task, effectively demonstrating regulation during the task, the initial value is not a pure baseline assessment. It would be interesting for future research to examine the differences between the two approaches for parameterizing physiological reactivity. Finally, the present study did not control for respiration rate when calculating vagal reactivity within the task. Controlling for respiration has been a long debate; recent theorists have challenged the necessity of this practice given the constraints such controls place on participants when considered against ecological validity. In the current study, we used RMSSD to parameterize HRV because this index is relatively free of respiratory influences contrary to high-frequency parameters (e.g., Laborde, Mosley, & Thayer, Reference Laborde, Mosley and Thayer2017; Penttilä et al., Reference Penttilä, Helminen, Jartti, Kuusela, Huikuri, Tulppo and Scheinin2001). In particular, empirical studies have demonstrated that respiration within speech-based tasks is not associated with RMSSD indices of HRV.

In conclusion, against a backdrop of a preponderant focus on mothers in the parental self-regulation literature, our findings suggest that research may benefit from a full delineation of the individual factors that may mitigate or potentiate experience and outcomes for both mothers and fathers (Sturge-Apple, Cicchetti, Davies, & Suor, 2012). Our findings may have important implications for clinical interventions toward the amelioration of harsh parenting and difficulties in parent-adolescent relationships. In particular, targeting improvement in parental abilities to be more flexible with respect to socialization goals and behaviors during the changing nature of parent-adolescent relationships over the course of early adolescence in parenting prevention and intervention efforts may assist efforts in the amelioration of harsh parental attributions regarding child behavior and caregiving over time.

Moreover, the strength of the current study lies in the demonstration of the potential for set-shifting capacity to operate as a key individual difference variable in process-oriented approaches to understanding how parental physiological regulation in the context of adolescent conflict may affect caregiving over time during this critical developmental transition. Finally, progress in understanding the mechanisms through which self-regulation constructs impact parenting hinges upon identifying mediating factors. Our demonstration that parental dysfunctional child-oriented attributions may operate as one underlying pathway is an important step for this field of research.

Financial support

This study was supported by a grant from the Eunice Kennedy Shriver National Institute of Child Health and Development awarded to Drs. Melissa L. Sturge-Apple and Patrick T. Davies (R01 060789).

Acknowledgments

We are incredibly grateful to the adolescents and parents who participated in this project and to the staff and student researchers who helped make this research possible.

References

Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting regressions. Thousand Oaks, CA: Sage. doi: 10.1177/109821409301400208Google Scholar
Allen, N. B., & Sheeber, L. B. (2008). The importance of affective development for the emergence of depressive disorder during adolescence. In Allen, N. B. & Sheeber, L. B. (Eds.), Adolescent emotional development and the emergence of depressive disorders (pp. 110). Cambridge University Press. doi: 10.1017/cbo9780511551963.001CrossRefGoogle Scholar
Allison, B. N., & Schultz, J. B. (2004). Parent-adolescent conflict in early adolescence. Adolescence, 39, 101119. PMID: 15230069Google ScholarPubMed
Butler, E. A., Wilhelm, F. H., & Gross, J. J. (2006). Respiratory sinus arrhythmia, emotion, and emotion regulation during social interaction. Psychophysiology, 43(6), 612622.CrossRefGoogle ScholarPubMed
Beauchaine, T. (2001). Vagal tone, development, and Gray's motivational theory: Toward an integrated model of autonomic nervous system functioning in psychopathology. Development and Psychopathology, 13, 183214. doi: 10.1017/S0954579401002012CrossRefGoogle ScholarPubMed
Belsky, J. (1984). The determinants of parenting: A process model. Child Development, 55, 8396. doi: 10.2307/1129836CrossRefGoogle ScholarPubMed
Berntson, G. G., Cacioppo, J. T., Quigley, K. S., & Fabro, V. T. (1994). Autonomic space and psychophysiological response. Psychophysiology, 31, 4461. doi: 10.1111/j.1469-8986.1994.tb01024.xCrossRefGoogle ScholarPubMed
Barrett, J., & Fleming, A. S. (2011). Annual research review: All mothers are not created equal: Neural and psychobiological perspectives on mothering and the importance of individual differences. Journal of Child Psychology and Psychiatry, 52(4), 368397.CrossRefGoogle Scholar
Brown, J. D., & Rogers, R. J. (1991). Self-serving attributions: The role of physiological arousal. Personality and Social Psychology Bulletin, 17, 501506. doi: 10.1177/0146167291175004CrossRefGoogle Scholar
Bugental, D. B., & Johnston, C. (2000). Parental and child cognitions in the context of the family. Annual Review of Psychology, 51, 315344. doi: 10.1146/annurev.psych.51.1.315CrossRefGoogle Scholar
Branje, S. J., van Doorn, M., van der Valk, I., & Meeus, W. (2009). Parent -adolescent conflicts, conflict resolution types, and adolescent adjustment. Journal of Applied Developmental Psychology, 30, 195204.CrossRefGoogle Scholar
Cabrera, N., Tamis-LeMonda, C. S., Bradley, R. H., Hofferth, S., & Lamb, M. E. (2000). Fatherhood in the twenty-first century. Child Development, 71, 127136. doi: 10.1111/1467-8624.00126CrossRefGoogle ScholarPubMed
Chaytor, N., Schmitter-edgecombe, M., & Burr, R. (2006). Improving the ecological validity of executive functioning assessment. Archives of Clinical Neuropsychology, 21, 217227. doi:10.1016/j.acn.2005.12.002CrossRefGoogle ScholarPubMed
Connell, A. M., Dawson, G. C., Danzo, S., & McKillop, H. N. (2017). The psychophysiology of parenting. Journal of Family Psychology, 31, 3040. doi: 10.1037/fam0000278CrossRefGoogle ScholarPubMed
Crandall, A., Deater-Deckard, K., & Riley, A. W. (2015). Maternal emotion and cognitive control capacities and parenting: A conceptual framework. Developmental Review, 36, 105126. doi: 10.1016/j.dr.2015.01.004CrossRefGoogle ScholarPubMed
Crouch, J. L., Hiraoka, R., McCanne, T. R., Reo, G., Wagner, M. F., Krauss, A., … Skowronski, J. J. (2015). Heart rate and heart rate variability in parents at risk for child physical abuse. Journal of Interpersonal Violence, 124. doi: 10.1177/0886260515619169Google ScholarPubMed
Cummings, E. M., Merrilees, C. E., & George, M. W. (2010). Fathers, marriages, and families: Revisiting and updating the framework for fathering in family context. In Lamb, M. E. (Ed.), The role of the father in child development (pp. 154176). Hoboken, NJ: Wiley. doi: 10.1007/978-1-4613-9820-2_7Google Scholar
Deater-Deckard, K., & Bell, M. A. (2017). Maternal executive function, heart rate, and EEG alpha reactivity interact in the prediction of harsh parenting. Journal of Family Psychology, 31, 41. doi: 10.1111/cdev.12583CrossRefGoogle ScholarPubMed
Deater-Deckard, K., Dodge, K. A., Bates, J. E., & Pettit, G. S. (1996). Physical discipline among African American and European American mothers: Links to children's externalizing behaviors. Developmental Psychology, 32, 1065. doi:10.1037/0012-1649.32.6CrossRefGoogle Scholar
Deater-Deckard, K., Sewell, M. D., Petrill, S. A., & Thompson, L. A. (2010). Maternal working memory and reactive negativity in parenting. Psychological Science, 21, 7579. doi: 10.1177/0956797609354073CrossRefGoogle ScholarPubMed
Deater-Deckard, K., & Sturge-Apple, M. L. (2017). Introduction to the special section: Mind and matter: New insights on the role of parental cognitive and neurobiological functioning in process models of parenting. Journal of Family Psychology, 31, 57.CrossRefGoogle ScholarPubMed
Deater-Deckard, K., Wang, Z., Chen, N., & Bell, M. A. (2012). Maternal executive function, harsh parenting, and child conduct problems. Journal of Child Psychology and Psychiatry, 53(10), 10841091.CrossRefGoogle ScholarPubMed
Diamond, A. (2013). Executive functions. Annual Review of Psychology, 64, 135168. doi: 10.1146/annurev-psych-113011-143750CrossRefGoogle ScholarPubMed
Dix, T., Ruble, D. N., Grusec, J. E., & Nixon, S. (1986). Social cognition in parents: Inferential and affective reactions to children of three age levels. Child Development, 57, 879894. doi: 10.2307/1130365CrossRefGoogle ScholarPubMed
Edwards, J. R., & Lambert, L. S. (2007). Methods for integrating moderation and mediation: A general analytical framework using moderated path analysis. Psychological Methods, 12, 112. doi: 0.1037/1082-989X.12.1.1CrossRefGoogle ScholarPubMed
Funk, J. L., & Rogge, R. D. (2007). Testing the ruler with item response theory: Increasing precision of measurement for relationship satisfaction with the Couples Satisfaction Index. Journal of Family Psychology, 21, 572574. doi: 10.1037/0893-3200.21.4.572CrossRefGoogle ScholarPubMed
Enders, C. K., & Bandalos, D. L. (2001). The relative performance of full information maximum likelihood estimation for missing data in structural equation models. Structural Equation Modeling, 8, 430457. doi: 10.1207/S15328007SEM0803_5CrossRefGoogle Scholar
Foster, S. L., & Robin, A. L. (1988). Family conflict and communication in adolescence. In Mash, E. J. & Terdal, L. G. (Eds.), Behavioral assessment of childhood disorders (2nd ed., pp. 717775). New York: Guilford PressGoogle Scholar
Giovagnoli, A. R., Del Pesce, M., Mascheroni, S., Simoncelli, M., Laiacona, M., and Capitani, E. 1996. Trailmaking test: Normative values from 287 normal adult controls. Italian Journal of Neurological Science, 17, 305309. doi: 10.1007/bf01997792CrossRefGoogle Scholar
Gonzalez, A., Jenkins, J. M., Steiner, M., & Fleming, A. S. (2012). Maternal early life experiences and parenting: The mediating role of cortisol and executive function. Journal of the American Academy of Child & Adolescent Psychiatry, 51, 673682. doi: 10.1016/j.jaac.2012.04.003CrossRefGoogle ScholarPubMed
Goschke, T. (2000). Intentional reconfiguration and J-TI Involuntary Persistence In Task Set Switching. Control of Cognitive Processes: Attention and performance XVIII, 18, 331.Google Scholar
Graziano, P., & Derefinko, K. (2013). Cardiac vagal control and children's adaptive functioning: A meta-analysis. Biological Psychology, 94, 2237. doi: 10.1016/j.biopsycho.2013.04.011CrossRefGoogle ScholarPubMed
Hill, L. K., Siebenbrock, A., Sollers, J. J., & Thayer, J. F. (2009). Are all measures created equal? Heart rate variability and respiration. Biomedical Sciences Instrumentation, 45, 7176.Google ScholarPubMed
Hofmann, W., Schmeichel, B. J., & Baddeley, A. D. (2012). Executive functions and self-regulation. Trends in Cognitive Sciences, 16, 174180. doi: 10.1016/j.tics.2012.01.006CrossRefGoogle ScholarPubMed
Kemp, A. H., & Quintana, D. S. (2013). The relationship between mental and physical health: Insights from the study of heart rate variability. International Journal of Psychophysiology, 89, 288296. doi: 10.1016/j.ijpsycho.2013.06.018CrossRefGoogle Scholar
Kibler, J. L., Prosser, V. L., & Ma, M. (2004). Cardiovascular correlates of misconduct in children and adolescents. Journal of Psychophysiology, 18, 184189. doi: 10.1027/0269-8803.18.4.184CrossRefGoogle Scholar
Laborde, S., Mosley, E., & Thayer, J. F. (2017). Heart rate variability and cardiac vagal tone in psychophysiological research -recommendations for experiment planning, data analysis, and data reporting. Frontiers in psychology, 8, 213.CrossRefGoogle ScholarPubMed
Lamb, M. E. (2010) How do fathers influence children's development? Let me count the ways. In Lamb, M. (Ed.), The role of the father in child development (5th ed., pp. 126). Hoboken, NJ: Wiley. doi: 10.1007/978-1-4613-9820-2_7Google Scholar
Laursen, B., Coy, K. C., & Collins, W. A. (1998). Reconsidering changes in parent-child conflict across adolescence: A meta-analysis. Child Development, 69, 817832. doi: 10.1111/j.1467-8624.1998.tb06245.xCrossRefGoogle ScholarPubMed
Leerkes, E. M., Su, J., Calkins, S. D., Supple, A. J., & O'brien, M. (2016). Pathways by which mothers’ physiological arousal and regulation while caregiving predict sensitivity to infant distress. Journal of Family Psychology, 30, 769779. doi: 10.1037/fam0000185CrossRefGoogle ScholarPubMed
Lemerise, E. A., & Arsenio, W. F. (2000). An integrated model of emotion processes and cognition in social information processing. Child Development, 71, 107118. doi: 10.1111/1467-8624.00124CrossRefGoogle ScholarPubMed
Leung, D. W., & Slep, A. M. S. (2006). Predicting inept discipline: The role of parental depressive symptoms, anger, and attributions. Journal of Consulting and Clinical Psychology, 74, 524534. doi: 10.1037/0022-006X.74.3.524CrossRefGoogle ScholarPubMed
Lorber, M. F., & O'leary, S. G. (2005). Mediated paths to overreactive discipline: Mothers' experienced emotion, appraisals, and physiological responses. Journal of Consulting and Clinical Psychology, 73, 972981. doi: 10.1037/0022-006X.73.5.972CrossRefGoogle Scholar
MacKinnon, D. P., Fritz, M. S., Williams, J., & Lockwood, C. M. (2007). Distribution of the product confidence limits for the indirect effect: Program PRODCLIN. Behavior Research Methods, 39, 384389. doi: 10.3758/BF03193007CrossRefGoogle ScholarPubMed
Martin, M. J., Sturge-Apple, M. L., Davies, P. T., & Romero, C. V. (2017). Mothers’ implicit appraisals of their adolescents as unlovable: Explanatory factor linking family conflict and harsh parenting. Developmental Psychology, 53, 1344. doi: 10.1037/dev0000334CrossRefGoogle ScholarPubMed
McRae, K., Jacobs, S. E., Ray, R. D., John, O. P., & Gross, J. J. (2012). Individual differences in reappraisal ability: Links to reappraisal frequency, well-being, and cognitive control. Journal of Research in Personality, 46, 27. doi: 10.1016/j.jrp.2011.10.003CrossRefGoogle Scholar
Mezzacappa, E., Tremblay, R. E., Kindlon, D., Saul, J. P., Arseneault, L., Seguin, J., … & Earls, F. (1997). Anxiety, antisocial behavior, and heart rate regulation in adolescent males. Journal of Child Psychology and Psychiatry, 38, 457469. doi: 10.1111/j.1469-7610.1997.tb01531.xCrossRefGoogle ScholarPubMed
Mills-Koonce, W. R., Propper, C., Gariepy, J. L., Barnett, M., Moore, G. A., Calkins, S., & Cox, M. J. (2009). Psychophysiological correlates of parenting behavior in mothers of young children. Developmental Psychobiology: The Journal of the International Society for Developmental Psychobiology, 51, 650661. doi: 10.1002/dev.20400CrossRefGoogle ScholarPubMed
Monsell, S. (2003). Task switching. Trends in Cognitive Sciences, 7, 134140. doi: 0.1016/S1364-6613(03)00028-7CrossRefGoogle ScholarPubMed
Moore, G. A., Hill-Soderlund, A. L., Propper, C. B., Calkins, S. D., Mills-Koonce, W. R., & Cox, M. J. (2009). Mother–infant vagal regulation in the face-to-face still-face paradigm is moderated by maternal sensitivity. Child Development, 80, 209223. doi: 10.1111/j.1467-8624.2008.01255.xCrossRefGoogle ScholarPubMed
Paulson, S. E., & Sputa, C. L. (1996). Patterns of parenting during adolescence: Perceptions of adolescents and parents. Adolescence, 31, 369382. issn: 0001-8449Google ScholarPubMed
Peltz, J. S., Rogge, R. D., & Sturge-Apple, M. L. (2018). Transactions within the family: Coparenting mediates associations between parents' relationship satisfaction and the parent -child relationship. Journal of Family Psychology, 32(5), 553.CrossRefGoogle ScholarPubMed
Penttilä, J., Helminen, A., Jartti, T., Kuusela, T., Huikuri, H. V., Tulppo, M. P., & Scheinin, H. (2001). Time domain, geometrical and frequency domain analysis of cardiac vagal outflow: effects of various respiratory patterns. Clinical Physiology, 21(3), 365376.CrossRefGoogle ScholarPubMed
Pinderhughes, E. E., Dodge, K. A., Bates, J. E., Pettit, G. S., & Zelli, A. (2000). Discipline responses: Influences of parents' socioeconomic status, ethnicity, beliefs about parenting, stress, and cognitive-emotional processes. Journal of Family Psychology, 14, 380. doi:10.1037/0893-3200.14.3.380CrossRefGoogle ScholarPubMed
Porges, S. W. (2001). The polyvagal theory: Phylogenetic substrates of a social nervous system. International Journal of Psychophysiology, 42, 123146. doi: 10.1016/S0167-8760(01)00162-3CrossRefGoogle ScholarPubMed
Preacher, K. J., Curran, P. J., & Bauer, D. J. (2006). Computational tools for probing interactions in multiple linear regression, multilevel modeling, and latent curve analysis. Journal of Educational and Behavioral Statistics, 31, 437448. doi: 10.3102/10769986031004437CrossRefGoogle Scholar
Prinz, R. J., Foster, S., Kent, R. N., & O'Leary, K. D. (1979). Multivariate assessment of conflict in distressed and nondistressed motheradolescent dyads. Journal of Applied Behavior Analysis, 12, 691700. doi: 10.1901/jaba.1979.12-691CrossRefGoogle ScholarPubMed
Rogge, R. D., Fincham, F. D., Crasta, D., & Maniaci, M. R. (2017). Positive and negative evaluation of relationships: Development and validation of the Positive -Negative Relationship Quality (PN-RQ) scale. Psychological assessment, 29(8), 1028.CrossRefGoogle ScholarPubMed
Saxbe, D. E., Margolin, G., Spies Shapiro, L. A., & Baucom, B. R. (2012). Does dampened physiological reactivity protect youth in aggressive family environments? Child Development, 83, 821830. doi: 10.1111/j.1467-8624.2012.01752.xCrossRefGoogle ScholarPubMed
Shaffer, A., & Obradović, J. (2017). Unique contributions of emotion regulation and executive functions in predicting the quality of parent–child interaction behaviors. Journal of Family Psychology, 31, 150159. doi: 10.1037/fam0000269CrossRefGoogle ScholarPubMed
Sheeber, L. B., Johnston, C., Chen, M., Leve, C., Hops, H., & Davis, B. (2009). Mothers’ and fathers’ attributions for adolescent behavior: An examination in families of depressed, subdiagnostic, and nondepressed youth. Journal of Family Psychology, 23, 871890. .doi: 10.1037/a0016758CrossRefGoogle ScholarPubMed
Slade, A., Belsky, J., Aber, J. L., & Phelps, J. L. (1999). Mothers' representations of their relationships with their toddlers: Links to adult attachment and observed mothering. Developmental Psychology, 35, 611620. doi: 10.1037/0012-1649.35.3.611CrossRefGoogle ScholarPubMed
Slep, A. M. S., & O'Leary, S. G. (1998). The effects of maternal attributions on parenting: An experimental analysis. Journal of Family Psychology, 12, 234243. doi: 10.1037/0893-3200.12.2.234CrossRefGoogle Scholar
Smetana, J. G., Campione-Barr, N., & Metzger, A. (2006). Adolescent development in interpersonal and societal contexts. Annual Review of Psychology, 57, 255284. doi: 10.1146/annurev.psych.57.102904.190124CrossRefGoogle ScholarPubMed
Smith, A. M., & O'Leary, S. G. (1995). Attributions and arousal as predictors of maternal discipline. Cognitive Therapy and Research, 19, 459471. doi:10.1007/BF02230412CrossRefGoogle Scholar
Snarr, J. D., Slep, A. M. S., & Grande, V. P. (2009). Validation of a new self-report measure of parental attributions. Psychological Assessment, 21, 390401. doi: 10.1037/a001633CrossRefGoogle ScholarPubMed
Strassberg, Z., & Treboux, D. (2000). Interpretations of child emotion expressions and coercive parenting practices among adolescent mothers. Social Development, 9, 8095. doi: 10.1111/1467-9507.00112CrossRefGoogle Scholar
Steinberg, L., & Silk, J. S. (2002). Parenting adolescents. Handbook of Parenting, 1, 103133. doi: 10.4324/9781410612137Google Scholar
Stern, S. B., & Azar, S. T. (1998). Integrating cognitive strategies into behavioral treatment for abusive parents and families with aggressive adolescents. Clinical Child Psychology and Psychiatry, 3, 387403. doi: 10.1177/135910459803300CrossRefGoogle Scholar
Stevenson, M. M., Fabricius, W. V., Cookston, J. T., Parke, R. D., Coltrane, S., Braver, S. L., & Saenz, D. S. (2014). Marital problems, maternal gatekeeping attitudes, and father–child relationships in adolescence. Developmental Psychology, 50, 12081215. doi: 10.1037/a0035327CrossRefGoogle ScholarPubMed
Strauss, E., Sherman, E. M. S., & Spreen, O. (2006). A compendium of neuropsychological tests: Administration, norms, and commentary (3rd ed.). New York, NY: Oxford University Press. doi: 10.1080/09084280701280502Google Scholar
Sturge-Apple, M. L., Cicchetti, D., Davies, P. T., & Suor, J. H. (2012). Differential susceptibility in spillover between interparental conflict and maternal parenting practices: Evidence for OXTR and 5-HTT genes. Journal of Family Psychology, 26, 431441. doi: 10.1037/a0028302CrossRefGoogle ScholarPubMed
Sturge-Apple, M. L., Davies, P. T., Cicchetti, D., & Fittoria, M. G. (2014). A typology of interpartner conflict and maternal parenting practices in high-risk families: Examining spillover and compensatory models and implications for child adjustment. Development and Psychopathology, 4, 983998.CrossRefGoogle Scholar
Sturge-Apple, M. L., Jones, H. R., & Suor, J. H. (2017). When stress gets into your head: Socioeconomic risk, executive functions, and maternal sensitivity across childrearing contexts. Journal of Family Psychology, 31, 160169. doi: 10.1037/fam0000265CrossRefGoogle ScholarPubMed
Sturge-Apple, M.L., & Martin, M. L. (2016). Problem Discussion Coding System for Assessing Parental Behaviors During Adolescent Discussions. Unpublished Coding Manual.Google Scholar
Sturge-Apple, M. L., Skibo, M. A., Rogosch, F. A., Ignjatovic, Z., & Heinzelman, W. (2011). The impact of allostatic load on maternal sympathovagal functioning in stressful child contexts: Implications for problematic parenting. Development and Psychopathology, 23(3), 831844.CrossRefGoogle ScholarPubMed
Sturge-Apple, M. L., Suor, J. H., & Skibo, M. A. (2014). Maternal child-centered attributions and harsh discipline: The moderating role of maternal working memory across socioeconomic contexts. Journal of Family Psychology, 28, 645. doi: 10.1037/fam0000023CrossRefGoogle ScholarPubMed
Tamis-LeMonda, C. S., Shannon, J. D., Cabrera, N. J., & Lamb, M. E. (2004). Fathers and mothers at play with their 2 and 3 year olds: Contributions to language and cognitive development. Child Development, 75, 18061820. doi: 10.1111/j.1467-8624.2004.00818.xCrossRefGoogle ScholarPubMed
Task Force. (1996). Heart rate variability: Standards of measurement, physiological interpretation, and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. European Heart Journal, 17, 354381.10.1093/oxfordjournals.eurheartj.a014868CrossRefGoogle Scholar
Thayer, J. F., & Lane, R. D. (2000). A model of neurovisceral integration in emotion regulation and dysregulation. Journal of Affective Disorders, 61, 201216.CrossRefGoogle Scholar
Verberne, A. J., & Owens, N. C. (1998). Cortical modulation of the cardiovascular system. Progress in Neurobiology, 54, 149168. doi: 10.1016/S0165-0327(00)00338-4CrossRefGoogle ScholarPubMed
Wang, Z., Deater-Deckard, K., & Bell, M. A. (2016). The role of negative affect and physiological regulation in maternal attribution. Parenting, 16, 206218. doi: 10.1080/15295192.2016.1158604CrossRefGoogle ScholarPubMed
Weymouth, B. B., Buehler, C., Zhou, N., & Henson, R. A. (2016). A meta-analysis of parent -adolescent conflict: Disagreement, hostility, and youth maladjustment. Journal of Family Theory & Review, 8, 95112.CrossRefGoogle Scholar
Zhang, X., Cui, L., Han, Z. R., & Yan, J. (2017). The heart of parenting: Parent HR dynamics and negative parenting while resolving conflict with child. Journal of Family Psychology, 31, 129139. doi: 10.1037/fam0000285CrossRefGoogle ScholarPubMed
Figure 0

Table 1. M, SD, and the bivariate correlations for the primary variables

Figure 1

Figure 1. Conceptual model outlining pathways examined in testing process pathways. W = Wave.

Figure 2

Figure 2. HRV reactivity × set-shifting capacity interaction on changes of father hostile conflict behavior. Note. Dashed line represents nonsignificant slope. High and low HRV reactivity were calculated at ±1 SD from the mean. Low HRV reactivity referred to dampened HRV suppression during parent-adolescent conflict discussion. HRV = heart rate variability; SD = standard deviation.

Figure 3

Table 2. Pathway coefficient estimates testing interactive effects of HRV reactivity and set-shifting capacity on parent hostile conflict behavior with covariates and autoregressive effects (N = 193)

Figure 4

Figure 3. HRV reactivity × set-shifting capacity interaction on Wave 2 dysfunctional child-oriented attributions for fathers. Note. Dashed line represents nonsignificant slope. High and low HRV reactivity were calculated at ±1 SD from the mean. Low HRV reactivity referred to dampened HRV suppression during parent-adolescent conflict discussion. HRV = heart rate variability; SD = standard deviation.

Figure 5

Table 3. Pathway coefficient estimates testing the mediating effect of dysfunctional child-oriented attributions on hostile conflict behavior for fathers (N = 193)