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Maternal invalidation and child RSA reactivity to frustration interact to predict teacher-reported aggression among at-risk preschoolers

Published online by Cambridge University Press:  05 January 2023

Amy L. Byrd*
Affiliation:
Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, USA
Olivia A. Frigoletto
Affiliation:
Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, USA
Vera Vine
Affiliation:
Department of Psychology, Queen's University, Kingston, Ontario, Canada
Salome Vanwoerden
Affiliation:
Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, USA
J. Richard Jennings
Affiliation:
Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, USA
Maureen Zalewski
Affiliation:
Department of Psychology, University of Oregon, Eugene, Oregon, USA
Stephanie D. Stepp
Affiliation:
Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, USA
*
Author for correspondence: Amy L. Byrd, E-mail: [email protected]
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Abstract

Background

Aggression is a transdiagnostic indicator of risk and represents one of the most common reasons children are referred for mental health treatment. Theory and research highlight the impact of maternal invalidation on child aggression and suggest that its influence may vary based on differences in child physiological reactivity. Moreover, the interaction between these risk factors may be particularly pronounced among children of mothers with emotion regulation (ER) difficulties. The current study examined the independent and interactive effects of maternal invalidation and child physiological reactivity to frustration on teacher-reported aggression in an at-risk sample of preschool children.

Method

Participants included 77 mothers (Mage = 33.17 years, s.d. = 4.83; 35% racial/ethnic minority) and their children (Mage = 42.48 months; s.d. = 3.78; 56% female; 47% racial/ethnic minority). Groups of mothers with and without clinician-rated ER difficulties reported on maternal invalidation, and child respiratory sinus arrhythmia (RSA) was assessed continuously during a frustration task as an indicator of physiological reactivity. Teachers or daycare providers reported on child aggression.

Results

Results demonstrated positive associations between maternal ER difficulties and both maternal invalidation and child RSA reactivity to frustration. As expected, the interaction between maternal invalidation and child RSA reactivity was significant, such that higher maternal invalidation and greater child RSA reactivity to frustration predicted more aggression in a daycare or preschool setting. Importantly, this effect was demonstrated while controlling for demographic covariates and baseline RSA.

Conclusions

Findings are in line with diathesis–stress and biosocial models of risk and point to multiple targets for prevention and early intervention.

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

Aggression is a transdiagnostic indicator that permeates nearly all psychiatric disorders in youth (Kazdin, Reference Kazdin2003). It represents one of the most common reasons children are referred for mental health treatment (Kazdin, Reference Kazdin2003), and its persistence is linked to severe and intractable trajectories of mental illness (Loeber & Hay, Reference Loeber and Hay1997; Ostrov & Houston, Reference Ostrov and Houston2008; Schaeffer, Petras, Ialongo, Poduska, & Kellam, Reference Schaeffer, Petras, Ialongo, Poduska and Kellam2003), as well lower academic achievement, substance use, and incarceration (Huesmann, Dubow, & Boxer, Reference Huesmann, Dubow and Boxer2009; Kokko, Tremblay, Lacourse, Nagin, & Vitaro, Reference Kokko, Tremblay, Lacourse, Nagin and Vitaro2006; Tremblay et al., Reference Tremblay, Nagin, Seguin, Zoccolillo, Zelazo, Boivin and Japel2004). Theory and research highlight the impact of maternal invalidation on child aggression (Calkins & Hill, Reference Calkins, Hill and Gross2007; Hajal & Paley, Reference Hajal and Paley2020; Morris, Criss, Silk, & Houltberg, Reference Morris, Criss, Silk and Houltberg2017; Ramsden & Hubbard, Reference Ramsden and Hubbard2002), and suggest that its influence may vary based on differences in child physiological reactivity (Ellis & Boyce, Reference Ellis and Boyce2008), another known risk factor for aggression (Hubbard et al., Reference Hubbard, Smithmyer, Ramsden, Parker, Flanagan, Dearing and Simons2002; Lorber, Reference Lorber2004; Scarpa & Raine, Reference Scarpa and Raine1997). Moreover, these effects may be particularly pronounced among children of mothers with emotion regulation (ER) difficulties (Buckholdt, Parra, & Jobe-Shields, Reference Buckholdt, Parra and Jobe-Shields2014; Hajal & Paley, Reference Hajal and Paley2020; Rutherford, Wallace, Laurent, & Mayes, Reference Rutherford, Wallace, Laurent and Mayes2015), underscoring the importance of examining these factors in at-risk children, before the emergence of serious mental illness. Thus, to refine etiological models and improve prevention efforts, the current study tested the independent and interactive effects of maternal invalidation and child physiological reactivity on aggression among at-risk preschool-aged children.

Maternal invalidation and risk for aggression

Theories about aggression highlight maternal invalidation as a critical risk factor (Calkins & Hill, Reference Calkins, Hill and Gross2007; Hajal & Paley, Reference Hajal and Paley2020; Morris et al., Reference Morris, Criss, Silk and Houltberg2017; Ramsden & Hubbard, Reference Ramsden and Hubbard2002). Maternal invalidation refers to communications that emotional experiences or expressions of emotion are inappropriate, invalid, or unwanted (Eisenberg, Cumberland, & Spinrad, Reference Eisenberg, Cumberland and Spinrad1998). When parents invalidate their child's emotions, they may respond by dismissing or minimizing emotional experiences (e.g. telling child to change their emotional experience, ‘don't be angry’), by magnifying or intensifying the emotion (e.g. yelling back, getting angry), and/or or by punishing the expression of emotion (e.g. mocking the emotional experience). To the child, these responses provide immediate feedback about the (un)acceptability of emotions, shaping the way in which emotions are understood, experienced, and expressed in the future (Eisenberg et al., Reference Eisenberg, Cumberland and Spinrad1998; Morris et al., Reference Morris, Criss, Silk and Houltberg2017; Morris, Silk, Steinberg, Myers, & Robinson, Reference Morris, Silk, Steinberg, Myers and Robinson2007). This transactional process may be particularly consequential when socializing negative emotions (Eisenberg, Fabes, & Murphy, Reference Eisenberg, Fabes and Murphy1996), given the centrality of the dysregulation of negative emotion to aggression (Scarpa, Haden, & Tanaka, Reference Scarpa, Haden and Tanaka2010; Vitaro, Barker, Boivin, Brendgen, & Tremblay, Reference Vitaro, Barker, Boivin, Brendgen and Tremblay2006).

Indeed, links between maternal invalidation of negative emotion and aggression have been shown across development, with research documenting associations in childhood (e.g. Brown, Fitzgerald, Shipman, & Schneider, Reference Brown, Fitzgerald, Shipman and Schneider2007; Chang, Schwartz, Dodge, & McBride-Chang, Reference Chang, Schwartz, Dodge and McBride-Chang2003), and adolescence (e.g. Buckholdt et al., Reference Buckholdt, Parra and Jobe-Shields2014; Byrd, Vine, Frigoletto, Vanwoerden, & Stepp, Reference Byrd, Vine, Frigoletto, Vanwoerden and Stepp2022b). Although theory and research point to the preschool period as particularly sensitive to these maternal influences (Cole, Lougheed, & Ram, Reference Cole, Lougheed, Ram, Cole and Hollenstein2018), very little work has focused on elucidating risk pathways during this developmental window. The preschool period is characterized by marked neurobiological changes that underlie notable shifts in emotional and behavioral regulation (Brown & Jernigan, Reference Brown and Jernigan2012; Garon, Bryson, & Smith, Reference Garon, Bryson and Smith2008), highlighting the potential importance of clarifying etiological mechanisms early in development, before trajectories of severe mental illness emerge.

Physiological reactivity and risk for aggression

Research suggests that children with heightened physiological reactivity are also at increased risk for aggression (Lorber, Reference Lorber2004; Scarpa & Raine, Reference Scarpa and Raine1997). Specifically, children who show extreme reactivity to stress or frustration may be more likely to engage in aggression (Hubbard et al., Reference Hubbard, Smithmyer, Ramsden, Parker, Flanagan, Dearing and Simons2002; Moore et al., Reference Moore, Hubbard, Morrow, Barhight, Lines, Sallee and Hyde2018; Scarpa et al., Reference Scarpa, Haden and Tanaka2010), in line with prominent theoretical models of aggression (Berkowitz, Reference Berkowitz1989, Reference Berkowitz1993). More recent research has focused on individual variability in peripheral physiology, specifically variation in phasic respiratory sinus arrhythmia (RSA), as an indicator of physiological reactivity and a risk factor for aggression. RSA refers to the amount of variability between heartbeats (i.e. inter-beat interval) that rhythmically fluctuates with respiration, and this is typically operationalized as high-frequency (HF) heart rate variability (HRV) using power statistics (Berntson et al., Reference Berntson, Thomas Bigger, Eckberg, Grossman, Kaufmann, Malik and Stone1997). This non-invasive index is of particular interest, given its unique association with parasympathetic nervous system (PNS) function, specifically vagal control of the sinoatrial node (Berntson, Cacioppo, & Quigley, Reference Berntson, Cacioppo and Quigley1994), and its implicated role in self-regulation (Beauchaine, Reference Beauchaine2001; Porges, Reference Porges2007). During rest, tonic PNS activation functions via the vagus nerve to slow heart rate and increase its variability (i.e. higher RSA), which is thought to facilitate emotion and behavior regulation. During stress or frustration, withdrawal of PNS control results in increased heart rate and reduced RSA variability, allowing one to mobilize the metabolic resources needed to optimally respond to environmental demands (i.e. RSA reactivity; Porges, Reference Porges2007). Consistent with this theoretical perspective, better emotional and behavioral functioning is generally linked to higher tonic RSA and moderate RSA reactivity (specifically RSA withdrawal) to environmental stress or frustration (Graziano & Derefinko, Reference Graziano and Derefinko2013).

While moderate RSA withdrawal is considered an adaptive and necessary response to stress, excessive withdrawal may be problematic, as it is associated with an extreme mobilization of fight or flight responding (Porges, Reference Porges2007). Although truly dangerous circumstances may require a pronounced physiological reaction to enable necessary behavioral responses, marshaling a pronounced RSA response to everyday frustrations may be less contextually appropriate, and by extension maladaptive. Indeed, excessive RSA reactivity (i.e. greater RSA withdrawal) in response to frustration has been linked to increased risk for aggression (Beauchaine et al., Reference Beauchaine, Bell, Knapton, McDonough-Caplan, Shader and Zisner2019; Byrd et al., Reference Byrd, Vine, Beeney, Scott, Jennings and Stepp2022a; Fanti et al., Reference Fanti, Eisenbarth, Goble, Demetriou, Kyranides, Goodwin and Cortese2019). However, most of the work in this area has focused on samples of older children and adolescents, limiting our understanding of these associations early in development. Studies that have examined this association during the preschool period show mixed results, with some linking risk for aggression to excessive RSA withdrawal (e.g. Beauchaine et al., Reference Beauchaine, Gatzke-Kopp, Neuhaus, Chipman, Reid and Webster-Stratton2013) and others to mild RSA withdrawal or augmentation (e.g. Calkins & Dedmon, Reference Calkins and Dedmon2000). Task differences may be partly responsible for the inconsistent findings (e.g. passive viewing of emotional videos v. engaging in a behavioral frustration task), with some suggestion that more ecologically valid tasks eliciting frustration more reliably produce expected RSA withdrawal (Murray-Close, Holterman, Breslend, & Sullivan, Reference Murray-Close, Holterman, Breslend and Sullivan2017). Additionally, it is possible that mixed results stem from a failure to consider relevant environmental moderators, like maternal invalidation.

The interaction of maternal invalidation and RSA reactivity and risk for aggression

Existing studies of RSA reactivity and child aggression have rarely examined the potentially moderating impact of maternal invalidation despite theoretical reasons for expecting this effect. Diathesis–stress (Zuckerman, Reference Zuckerman and Zuckerman1999) and biosocial (Beauchaine & Zalewski, Reference Beauchaine, Zalewski, Dishion and Snyder2016; Crowell, Beauchaine, & Linehan, Reference Crowell, Beauchaine and Linehan2009; Linehan, Reference Linehan1993) models suggest that sensitivity to environmental stressors will be more strongly linked with emotional and behavioral problems (e.g. aggression) in environments that are emotionally invalidating. For example, children who experience heightened emotional reactivity in response to stress or frustration and experience invalidation of such emotional intensity may have difficultly inhibiting behavioral responses in the context of those emotions, ultimately increasing risk for aggression. Indeed, the interaction between maternal invalidation and physiological reactivity has been associated with emotion and behavior dysregulation (Dixon-Gordon, Marsh, Balda, & McQuade, Reference Dixon-Gordon, Marsh, Balda and McQuade2020; McQuade & Breaux, Reference McQuade and Breaux2017; McQuade, Dixon-Gordon, Breaux, & Babinski, Reference McQuade, Dixon-Gordon, Breaux and Babinski2021). However, we are aware of only one study that examined this interaction in preschoolers, which demonstrated that mild RSA withdrawal or augmentation and maternal rejection predicted increased aggression (Wagner, Hastings, & Rubin, Reference Wagner, Hastings and Rubin2018). This study assessed RSA reactivity to an anger-inducing video and focused on general child-rearing attitudes in a community sample of preschoolers. To better test diathesis–stress and biosocial theories, additional studies are needed that assess RSA reactivity using more externally valid frustration tasks and measure maternal invalidation of negative emotion specifically.

Maternal ER difficulties as a key risk factor

Not surprisingly, children of mothers with ER difficulties (i.e. experiencing emotional responses as more intense, variable, and prolonged) are at heightened risk for aggression (Rutherford et al., Reference Rutherford, Wallace, Laurent and Mayes2015; Zimmer-Gembeck, Rudolph, Kerin, & Bohadana-Brown, Reference Zimmer-Gembeck, Rudolph, Kerin and Bohadana-Brown2021). Research points to child physiological reactivity and maternal invalidation as two risk factors that may help to explain this intergenerational transmission (Rueger, Katz, Risser, & Lovejoy, Reference Rueger, Katz, Risser and Lovejoy2011; Zimmer-Gembeck et al., Reference Zimmer-Gembeck, Rudolph, Kerin and Bohadana-Brown2021). Children of parents with ER difficulties are more likely to have heightened physiological reactivity (Cao, Powers, Cross, Bradley, & Jovanovic, Reference Cao, Powers, Cross, Bradley and Jovanovic2017; Gao, Brown, Neff, Crowell, & Conradt, Reference Gao, Brown, Neff, Crowell and Conradt2021; Ostlund et al., Reference Ostlund, Vlisides-Henry, Crowell, Raby, Terrell, Brown and Shakib2019), placing them at risk for aggression (Lorber, Reference Lorber2004; Scarpa & Raine, Reference Scarpa and Raine1997). Additionally, because mothers with ER difficulties may find it especially difficult to respond in a validating or supportive manner to their child's expression of emotion (Buckholdt et al., Reference Buckholdt, Parra and Jobe-Shields2014; Rutherford et al., Reference Rutherford, Wallace, Laurent and Mayes2015), they may be more likely to dismiss, magnify, or punish their child's emotional experience, even if unintentionally (Morelen, Shaffer, & Suveg, Reference Morelen, Shaffer and Suveg2016; Zimmer-Gembeck et al., Reference Zimmer-Gembeck, Rudolph, Kerin and Bohadana-Brown2021). Examining the independent and interactive effects of child physiological reactivity and maternal invalidation among at-risk preschoolers has the potential to enhance etiological models and aid in the identification of modifiable prevention targets that divert youth away from trajectories of severe psychopathology.

Current study

The current study sought to extend prior work by assessing the independent and interactive effects of child RSA reactivity to an ecologically valid frustration task and maternal invalidation on teacher-reported aggression. Participants were preschool-aged children of mothers with ER difficulties and mothers without ER difficulties. We hypothesized an association between maternal ER difficulties and both child RSA reactivity to frustration and maternal invalidation, and, as outlined in diathesis–stress and biosocial theories (e.g. Crowell et al., Reference Crowell, Beauchaine and Linehan2009; Linehan, Reference Linehan1993; Zuckerman, Reference Zuckerman and Zuckerman1999), that these factors would interact to predict teacher-reported aggression.

Method

Sample

We enrolled 90 mothers (M age = 33.17 years, s.d. = 4.83; 36.7% racial/ethnic minoritized statusFootnote Footnote 1) and their preschool-aged children (M age = 42.48 months; s.d.= 3.78; 56% female; 46.7% racial/ethnic minoritized statusFootnote 2) in a randomized control trial (RCT) of Dialectical Behavior Therapy (DBT). Mothers were recruited through targeted multimedia and digital messaging programs for mothers of children between 36 and 47 months old (i.e. one advertisement targeting mothers with ER difficulties and one targeting mothers without ER difficulties), via a university-based research recruitment program. Psychiatric treatment clinics were also contacted to aid in the recruitment of mothers with ER difficulties.

At the first point of contact, phone screening interviews were completed to ensure all mothers were a biological parent and had at least 50% physical custody of the target child since birth. To assess for maternal ER difficulties, the 10-item McLean Screening Instrument for Borderline Personality Disorder (MSI-BPD; Zanarini et al., Reference Zanarini, Vujanovic, Parachini, Boulanger, Frankenburg and Hennen2003) was completed by all mothers, where scores ⩾7 were required for mother with ER difficulties and scores ⩽2 were required for mothers without ER difficulties. Given that this was an RCT, mothers with ER difficulties were also asked about current treatment status and those reporting participation in DBT were deemed ineligible. Then, all mothers and their children completed a clinical intake to determine eligibility. This included maternal psychiatric interviews [i.e. Structured Clinical Interview for DSM-5 (SCID-5; First, Williams, Karg, & Spitzer, Reference First, Williams, Karg and Spitzer2015); Structured Interview for DSM-IV Personality (SIDP-IV; Pfohl, Blum, & Zimmerman, Reference Pfohl, Blum and Zimmerman1995)] to determine maternal ER status. Additionally, neuropsychological testing was administered to mothers and children to obtain an estimate of verbal IQ [i.e. Peabody Picture Vocabulary Test Fourth Edition (Dunn & Dunn, Reference Dunn and Dunn2003); Expressive Vocabulary Test Second Edition (Williams, Reference Williams1997)]. All eligible participants demonstrated standard scores of at least 70. Mothers also completed a brief child development screening, the Ages and Stages Questionnaire (ASQ; Squires, Bricker, & Twombly, Reference Squires, Bricker and Twombly2009), designed to detect delays in development across developmental domains, and only children without delays were eligible.

Procedure

Following the clinical intake, all eligible mothers and their preschoolers were asked to complete four study assessments (baseline, 4-, 8-, and 12-month follow-ups). These assessments included questionnaires assessing emotions and behaviors as well as mother–child interactions (e.g. maternal invalidation). Participants were also asked to complete a series of behavioral tasks, including a child frustration task, during which RSA was continuously recorded. Mothers were also asked to provide contact information for their child's preschool teacher or daycare provider. Following the assessment, teachers were contacted and asked to complete an online questionnaire assessing emotions and behaviors observed in the preschool/daycare setting. The current study focuses on 77 mother–child dyads recruited between October 2017 and January 2020 who completed an in-person baseline assessment.Footnote 3

Measures

Maternal ER difficulties

Maternal ER status (0 = no ER difficulties; 1 = ER difficulties) was determined during the clinical intake, which included semi-structured diagnostic interviews (i.e. SCID-5, SIDP-IV) administered by trained research personnel. Mothers with ER difficulties met at least three diagnostic criteria for borderline personality disorder, a disorder hallmarked by ER difficulties (Lieb, Zanarini, Schmahl, Linehan, & Bohus, Reference Lieb, Zanarini, Schmahl, Linehan and Bohus2004; Linehan, Reference Linehan1993), with one of these three symptoms being affective instability or uncontrolled anger. Mothers with no ER difficulties did not meet diagnostic criteria for any clinical disorder (e.g. depression, anxiety), currently or since conception of their child. Additionally, these mothers showed no evidence of affective instability and uncontrolled anger criteria (i.e. a severity score of 0). Double-coding of approximately 20% of clinical interviews showed strong inter-rater reliability for maternal ER difficulties (Krippendorff's α = 0.91) and Table S1 details the prevalence of DSM-5 diagnoses in the current sample.

Maternal invalidation

Maternal invalidation was assessed using the Coping with Children's Negative Emotions Scale (CCNES; Fabes, Poulin, Eisenberg, & Madden-Derdich, Reference Fabes, Poulin, Eisenberg and Madden-Derdich2002). The CCNES is a self-report measure consisting of six, 12-item subscales designed to assess parental response to their child's negative emotions, with three subscales reflecting unsupportive reactions (i.e. minimizing reactions, distress reactions, and punitive reactions). Mothers read several different hypothetical scenarios during which the child feels a negative emotion and following each scenario they rated the likelihood of their responding a certain way on a seven-point Likert-type scale ranging from 1 (very unlikely) to 7 (very likely). The average of all items from the three unsupportive subscales represented maternal invalidation (range = 1–7). Reliability for this scale was good (α = 0.88), and consistent with reliability estimates in similar samples (Meyer, Raikes, Virmani, Waters, & Thompson, Reference Meyer, Raikes, Virmani, Waters and Thompson2014; Perry, Calkins, Nelson, Leerkes, & Marcovitch, Reference Perry, Calkins, Nelson, Leerkes and Marcovitch2012).

Child physiological reactivity to frustration

Child RSA was assessed continuously as an index of parasympathetic function during a 3-minute resting baseline (i.e. watching a Mr. Rogers video) and a 2-minute frustration task. RSA reactivity to frustration was measured using two well-validated frustration tasks: Transparent Locked Box (LAB-TAB; Goldsmith & Rothbart, Reference Goldsmith and Rothbart1996) and Knotted Sack (Chaplin, Klein, Cole, & Turpyn, Reference Chaplin, Klein, Cole and Turpyn2017).Footnote 4 In each task, the child was allowed to pick their favorite of three toys. The experimenter then placed the chosen toy inside a locked, transparent box or an opaque cloth sack and told the child they could keep the toy once they opened the locked box or knotted sack. Unbeknownst to the children, those in the box condition were then handed an incorrect set of keys, and those in the sack condition were handed an alternate sack that was glued shut. The experimenter explained that they ‘had some work to do’ and turned away from the child as if engrossed in work. The child attempted to open the locked box or knotted sack for 2 minutes.

Electrocardiogram signals were obtained from three disposable Ag/Ag-Cl spot electrodes positioned in a modified lead-II configuration using Mindware BioLab software (MindWare Technologies, Ltd., Gahanna, OH, USA). To estimate RSA, Mindware HRV 3.2.6 software (MindWare) was utilized. The interbeat interval (IBI) series was resampled in equal 250 ms intervals, linearly detrended, and tapered using a Hanning window. Trained scorers independently visually inspected each recorded waveform and manually corrected artifacts based on recommendations set forth by Berntson et al. (Reference Berntson, Thomas Bigger, Eckberg, Grossman, Kaufmann, Malik and Stone1997). Twenty percent of participants were double-scored for reliability (mean Krippendorff's α = 0.89), and any discrepancies were resolved with consensus. HRV was calculated using fast Fourier transformation analysis of the IBI series, and RSA was defined as HRV associated with the log transformed HF respiratory power band (0.24–1.04 Hz range; Shader et al., Reference Shader, Gatzke-Kopp, Crowell, Reid, Thayer, Vasey and Beauchaine2018; West, Shaffer, Wickrama, Han, & Suveg, Reference West, Shaffer, Wickrama, Han and Suveg2021). Data were available for 95% (n = 73) of the sample,Footnote 5 and peak respiration frequency ranged from 0.26 to 0.84. RSA was estimated separately for the resting baseline (mean = 6.02; s.d. = 1.38) and for the frustration task (mean = 5.40; s.d. = 1.18). To measure within-individual RSA reactivity, a difference score was calculated by subtracting RSA during the resting baseline from RSA during the frustration task. Thus, negative scores reflect RSA withdrawal (reduced RSA during frustration relative to baseline), while positive scores reflect RSA augmentation (increased RSA during conflict relative to baseline). In this sample, mean RSA reactivity was negative (mean = −0.62; s.d. = 0.67; range = − 2.58–0.64), with approximately 85% of preschoolers experiencing RSA withdrawal, and approximately 15% experiencing mild RSA augmentation.

Child aggression

To assess aggression, preschool teachers or daycare providers completed the Caregiver-Teacher Report Form (C-TRF; Achenbach & Rescorla, Reference Achenbach and Rescorla2001) via the Qualtrics survey system (Qualtrics, Provo, UT). The C-TRF contains 25 items assessing aggression in children who are between 1.5 and 5 years old (e.g. defiant, physically attacks people, screams a lot). All items are rated on a three-point Likert scale, ranging from 0 (not true) to 2 (very true or often true), and are summed to create a total score. Data were available for 83% of the sample (n = 64),Footnote 6 and reliability for this scale was excellent (α = 0.95).

Demographic covariates

Child age, racial/ethnic minoritized status (0 = white; 1 = minoritized status), and child sex (0 = male; 1 = female) were obtained via maternal report. Annual income and family receipt of public assistance were obtained via maternal report (e.g., food stamps, welfare, etc.; 0 = no public assistance; 1 = receipt of public assistance).

Data analytic strategy

Preliminary analyses were conducted to examine descriptive statistics and bivariate correlations between study variables using IBM SPSS Statistics (Version 26.0). Primary analyses were conducted in MPlus version 8 (Muthén & Muthén, Reference Muthén and Muthén2017) using full information maximum likelihood with robust standard errors to handle missing data. The independent and interactive effects of maternal invalidation and child RSA reactivity on teacher-reported aggression were estimated simultaneously while controlling for theoretically relevant demographic covariates (i.e. child age, child sex, child minoritized status, family receipt of public assistance), and child baseline RSA. The effects of maternal ER difficulties on maternal invalidation, child RSA reactivity, and teacher-reported aggression were also included in the model. Model fit was evaluated using standard criteria for χ2, comparative fit index (CFI; Bentler, Reference Bentler1990), and the root mean square error of approximation (RMSEA; Browne & Cudeck, Reference Browne, Cudeck, Bollen and Long1993). For CFI, conventional cut-off values of 0.95 or greater indicate good fit (McDonald & Ho, Reference McDonald and Ho2002). RMSEA values below 0.05 represent good fit (Kline, Reference Kline2015; McDonald & Ho, Reference McDonald and Ho2002). Standardized effects from the full model are reported. Significant interaction effects were probed and plotted for interpretation using maternal invalidation values ± 1 s.d. above and below the mean. Fraley's (Reference Fraley2018) online utility for parsing the two-way interactions was used to assess simple slopes and regions of significance.

Results

Descriptive statistics

Table 1 includes descriptive statistics for demographic and primary study variables and Table 2 shows bivariate correlations. Maternal ER difficulties were associated with higher maternal invalidation, more excessive child RSA withdrawal to frustration, and greater teacher-reported aggression. Maternal invalidation was positively associated with teacher-reported aggression. Child RSA reactivity was negatively associated with teacher-reported aggression, though not significantly.

Table 1. Descriptive statistics for all study variables by maternal ER difficulties

Note. ER, emotion regulation; M, mean; RSA, respiratory sinus arrythmia; s.d., standard deviation. Means designated with different subscript letters are significantly different from each other (p < 0.05) based on post-hoc independent sample t tests.

Table 2. Bivariate correlations between primary study variables

Note. Significant effects are bolded. *p < 0.05; **p < 0.01

Independent and interactive associations with aggression

Figure 1 shows the multivariate model testing the independent and interactive effects of maternal invalidation and child RSA reactivity to frustration on teacher-reported aggression. Maternal ER difficulties were associated with higher levels of maternal invalidation and more excessive RSA withdrawal to frustration. Additionally, the interaction between maternal invalidation and child RSA reactivity was significantly associated with teacher-reported aggression. Post-hoc simple slope analyses showed that RSA reactivity to frustration was related to teacher-reported aggression at high levels of maternal invalidation (+1 s.d.), but not low levels of maternal invalidation (−1 s.d.). Region of significance analyses indicated that higher maternal invalidation was significantly associated with more teacher-reported aggression among children with more extreme RSA withdrawal (Fig. 2).Footnote 7

Fig. 1. Multivariate model testing independent and interactive paths from maternal ER difficulties, maternal invalidation, and RSA reactivity to frustration to teacher-reported aggression.

Note. Overall model fit was good [χ2(11) = 8.50, p = 0.67; CFI = 1.00; TLI = 1.00; RMSEA < 0.01]. R 2(aggressive behavior) = 0.33. Significant associations are bolded and represent standardized effects after accounting for child age, child sex, child minority status, family receipt of public assistance, and child baseline RSA. The direct path between clinician-rated maternal ER difficulties and teacher-reported aggression was also modeled (though not shown above) and was non-significant [β = 0.19 (0.14), p = 0.18]. *p < 0.05; **p < 0.01.

Fig. 2. Maternal invalidation moderates the effect of child RSA reactivity to frustration on teacher-reported aggression. Predictors were mean-centered, and effects are shown at ±1 s.d. above and below the mean on maternal invalidation (mean = 2.39; s.d. = 0.67; range = 1.31–4.61), with higher values reflecting more maternal invalidation, and lower values reflecting less maternal invalidation. Simple slope analyses revealed that child RSA reactivity was related to teacher-reported aggression at higher levels of maternal invalidation (+1 s.d.: b = − 0.57, p = 0.03), but not at lower levels of maternal invalidation (−1 s.d.: b = 0.15, p = 0.29). The overlapping shaded areas represent the point beyond which child RSA reactivity, specifically RSA withdrawal (<−0.36; mean-centered range = −2.93 to 1.87), predicted teacher-reported aggression for preschoolers with higher maternal invalidation (>0.67; mean-centered range = −1.62 to 3.35).

Discussion

The current study examined the independent and interactive effects of maternal invalidation and child RSA reactivity to frustration as predictors of teacher-reported aggression in an at-risk sample of preschoolers. As expected, results demonstrated positive associations between clinician-rated maternal ER difficulties and both maternal invalidation and child RSA reactivity to frustration. As hypothesized, there was a significant interaction between maternal invalidation and child RSA reactivity, such that higher levels of maternal invalidation predicted more aggression in a preschool/daycare setting among children who experienced more excessive RSA withdrawal to frustration. Importantly, this effect was demonstrated while simultaneously accounting for the effects of demographic covariates and child baseline RSA. Findings are in line with diathesis–stress and biosocial models of risk and point to multiple targets for prevention and early intervention.

Mothers with ER difficulties reported higher maternal invalidation, and their children had more excessive RSA withdrawal to frustration, echoing previous research demonstrating associations between maternal ER difficulties and maternal invalidation of emotion and child physiological reactivity (Cao et al., Reference Cao, Powers, Cross, Bradley and Jovanovic2017; Frigoletto et al., Reference Frigoletto, Byrd, Vine, Vanwoerden, Zalewski and Stepp2022; Gao et al., Reference Gao, Brown, Neff, Crowell and Conradt2021; Ostlund et al., Reference Ostlund, Vlisides-Henry, Crowell, Raby, Terrell, Brown and Shakib2019; Zimmer-Gembeck et al., Reference Zimmer-Gembeck, Rudolph, Kerin and Bohadana-Brown2021). Mothers with ER difficulties may feel overwhelmed by their own internal emotional experience when attempting to navigate challenging emotional interactions with their child, making it more difficult to respond effectively (Rutherford et al., Reference Rutherford, Wallace, Laurent and Mayes2015). These interactions can be emotionally evocative for any parent, and given that children of mothers with ER difficulties may also have greater physiological reactivity to frustration (Cao et al., Reference Cao, Powers, Cross, Bradley and Jovanovic2017; Gao et al., Reference Gao, Brown, Neff, Crowell and Conradt2021; Ostlund et al., Reference Ostlund, Vlisides-Henry, Crowell, Raby, Terrell, Brown and Shakib2019), future work should examine whether this is even more challenging for mothers with ER difficulties. Because preschoolers still primarily rely on external influences to aid in regulation (Thompson, Reference Thompson1994), modifying maternal responses to child emotion during this time has the potential to significantly shape child outcomes. Taken together, these findings highlight the importance of characterizing these influences during the preschool period, a sensitive developmental window marked by notable shifts in emotional and behavioral regulation (Brown & Jernigan, Reference Brown and Jernigan2012; Garon et al., Reference Garon, Bryson and Smith2008).

Our results demonstrated a significant interaction between maternal invalidation and child RSA reactivity. Specifically, children who experienced RSA withdrawal to frustration and higher maternal invalidation showed more aggression in the preschool or daycare setting. This finding suggests that the impact of maternal invalidation may not be equivalent across all children and demonstrates that the most deleterious effects may be felt by those children with heightened physiological reactivity, in line with the diathesis–stress and biosocial models (e.g. Crowell et al., Reference Crowell, Beauchaine and Linehan2009; Linehan, Reference Linehan1993; Zuckerman, Reference Zuckerman and Zuckerman1999). Together, these factors placed children at higher risk for aggression during preschool, a developmental window typically characterized by a normative decline in aggression (Hartup, Reference Hartup1974; Tremblay et al., Reference Tremblay, Nagin, Seguin, Zoccolillo, Zelazo, Boivin and Japel2005), increasing their risk for a wide range of psychopathology later in development (Loeber & Hay, Reference Loeber and Hay1997; Ostrov & Houston, Reference Ostrov and Houston2008; Schaeffer et al., Reference Schaeffer, Petras, Ialongo, Poduska and Kellam2003). For children with heightened physiological reactivity, emotional scaffolding and validation may be even more important, as invalidation in the context of heightened physiological reactivity may limit crucial opportunities for youth to learn how to regulate their emotions, and over time, exacerbate emotional distress, increasing risk for aggression. Along these lines, recent meta-analytic work shows that physiological reactivity, and specifically RSA withdrawal, decreases during the first 3 years of life (Wagner, Holochwost, Lynch, Mills-Koonce, & Propper, Reference Wagner, Holochwost, Lynch, Mills-Koonce and Propper2021), with some suggestion that maternal scaffolding and validation may directly support this trajectory (Perry, Dollar, Calkins, & Bell, Reference Perry, Dollar, Calkins and Bell2018). Taken together, these findings underscore the sensitivity of this developmental window, when prevention and intervention efforts may be critical and potentially most effective.

Limitations

Findings from the current study should be considered within the context of several limitations. First, this study focused on an at-risk sample of preschoolers at a single timepoint, limiting the generalizability of findings to community samples and our ability to assess effects over time. Second, while several important covariates (e.g. age, sex, minoritized status) were included in our model, this study was not adequately powered to examine potential moderation. Moreover, minoritized status was dichotomized and utilized in statistical models as a person-centered variable. Race is a non-discrete, socially created construct and reflects the effects of numerous risk factors (e.g., minority stress) for which minoritized status is a proxy (Kaufman & Cooper, Reference Kaufman and Cooper2001; Richeson & Sommers, Reference Richeson and Sommers2016). Future work is needed to examine the direct impact of these factors on maternal ER difficulties, maternal invalidation, and aggression (Jones & Neblett, Reference Jones and Neblett2017). Additionally, while we assessed invalidation using a well-validated maternal-reported questionnaire (i.e. CCNES), research highlights children's perception or experience of validation as most predictive (e.g. Byrd et al., Reference Byrd, Vine, Frigoletto, Vanwoerden and Stepp2022b), and future work should utilize alternative assessment methods and informants. Finally, while our assessment of peripheral physiology expands on previous laboratory-based assessments (i.e. passive viewing of emotional stimuli) by utilizing a more ecologically valid frustration task, we acknowledge the importance of assessing task-induced artifacts and the benefits of utilizing standardized methods across studies (Davis, Brooker, & Kahle, Reference Davis, Brooker and Kahle2020). Additionally, although we focused on RSA as an indicator of parasympathetic function and used difference scores to assess reactivity, we understand that other autonomic influences are likely at play (i.e. impedance cardiography) and recognize the importance of modeling dynamic changes in physiology over time (Hastings & Kahle, Reference Hastings, Kahle, LoBue, Pérez-Edgar and Buss2019).

Clinical implications

The current study points to the downstream effects of maternal ER difficulties early in development and suggests that maternal invalidation and child physiological reactivity interact to increase risk for aggression, particularly among at-risk youth. Findings highlight the significance of integrating these factors into etiological models of aggression and underscore potential treatment implications. For example, research demonstrates that targeting maternal ER improves parenting behaviors (Martin, Roos, Zalewski, & Cummins, Reference Martin, Roos, Zalewski and Cummins2017; Zalewski, Lewis, & Martin, Reference Zalewski, Lewis and Martin2018), and our own preliminary work in this sample has demonstrated that treatment-driven improvements in maternal ER difficulties has indirect effects on child externalizing symptoms 1 year later (Byrd, Lee, Frigoletto, Zalewski, & Stepp, Reference Byrd, Lee, Frigoletto, Zalewski and Stepp2021). Moreover, emerging work suggests that targeting maternal ER in combination with maternal validation training may further enhance child outcomes (Havighurst & Kehoe, Reference Havighurst, Kehoe, Deater-Deckard and Panneton2017; Highlander et al., Reference Highlander, Zachary, Jenkins, Loiselle, McCall, Youngstrom and Jones2022), and our data suggest that maternal validation training for mothers with ER difficulties may be especially indicated when their children show heightened physiological reactivity to frustration. Moreover, given the extent to which intense negative emotion and aggression are intricately intertwined, strategies that help parents to separate the valid emotional experience from the maladaptive aggressive response may be useful. Alternatively, directly targeting children's physiological reactivity to frustration (e.g. eliciting the dive reflex to activate the PNS; Rathus & Miller, Reference Rathus and Miller2000) may be especially effective in the context of maternal invalidation. Taken together, these findings suggest that targeted prevention and intervention efforts, prior to the emergence of severe psychopathology, may have the potential to shift trajectories of at-risk children.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S0033291722003713

Acknowledgements

We are grateful to all the families who took part in this study, and to the research study team, which includes interviewers and their supervisors, study therapists, research assistants, data managers, student workers, and volunteers. Funding for this study was supported by grants awarded to Dr Maureen Zalewski and Dr Stephanie Stepp from the National Institute of Mental Health (R01 MH111758). Additional funding from the National Institute of Mental Health also supported this work (K01 MH119216; F32 MH126510).

Conflict of interest

None.

Footnotes

The notes appear after the main text.

1 Ethnoracial composition for mothers was 65.6% White, 27.8% Black, 3.3% Hispanic/Latino, and 6.7% biracial multiracial.

2 Ethnoracial composition for children was 58.9% White, 25.6% Black, 5.6% Hispanic/Latino, and 15.6% biracial multiracial.

3 The COVID-19 global pandemic impacted our ability to complete in-person follow-up assessments. We were unable to complete any in-person assessments after March 2020 due to the nation-wide shutdown and research restrictions that limited prolonged in-person contact.

4 These two tasks were alternated across the four longitudinal assessments to mitigate practice effects associated with tasks including an element of deception (Monks, Smith, & Swettenham, Reference Monks, Smith and Swettenham2005); thus, the baseline assessment included both tasks.

5 Physiological data were unavailable for four children. This included three children for whom physiological data were not available due to child refusal to wear electrodes and one child whose data were not usable due to staff error (i.e. incorrect placement of electrodes).

6 This included 59 teachers within a preschool/daycare facility, two in-home daycare providers, two alternative family members who cared for the child outside of the home, and one alternative family member who cared for the child inside the home. Missing data included seven children who were not yet enrolled in preschool/daycare, two children whose parent did not give consent to contact their teacher, one child whose teacher declined participation, and three children for whom data were determined to be invalid (e.g. teachers completed the questionnaire in less than 5 min). Participants with teacher data did not differ from those without any demographic variables, except for child age. Children with missing teacher data were younger (t = −2.34, p = 0.02).

7 Given debate about the degree to which RSA is truly a product of vagal activity v. an artifact of heart rate (HR; e.g. Monfredi et al., Reference Monfredi, Lyashkov, Johnsen, Inada, Schneider, Wang and Lakatta2014), and recent research highlighting the potential non-trivial implications of examining RSA in isolation (i.e. without accounting for HR), we followed state of the art recommendations by de Geus, Gianaros, Brindle, Jennings, and Berntson (Reference de Geus, Gianaros, Brindle, Jennings and Berntson2019). Specifically, all models were re-run using: (1) HR instead of RSA; (2) HR as a covariate; and (3) RSA adjusted for HR. Regarding (1), there were no significant associations with primary predictors (maternal ER difficulties) or outcomes (aggression); regarding (2 and 3), results mirrored those reported above, suggesting that the present findings can be interpreted as effects of relatively unconfounded or largely vagally mediated influences on RSA.

References

Achenbach, T. M., & Rescorla, L. (2001). ASEBA school-age forms & profiles. Burlington, VT: University of Vermont, Research Center for Children, Youth, & Families.Google Scholar
Beauchaine, T. P. (2001). Vagal tone, development, and Gray's motivational theory: Toward an integrated model of autonomic nervous system functioning in psychopathology. Development and Psychopathology, 13(2), 183214.10.1017/S0954579401002012CrossRefGoogle ScholarPubMed
Beauchaine, T. P., Bell, Z., Knapton, E., McDonough-Caplan, H., Shader, T., & Zisner, A. (2019). Respiratory sinus arrhythmia reactivity across empirically based structural dimensions of psychopathology: A meta-analysis. Psychophysiology, 56(5), e13329. doi: 10.1111/psyp.13329.CrossRefGoogle ScholarPubMed
Beauchaine, T. P., Gatzke-Kopp, L., Neuhaus, E., Chipman, J., Reid, M. J., & Webster-Stratton, C. (2013). Sympathetic-and parasympathetic-linked cardiac function and prediction of externalizing behavior, emotion regulation, and prosocial behavior among preschoolers treated for ADHD. Journal of Consulting and Clinical Psychology, 81(3), 481.10.1037/a0032302CrossRefGoogle ScholarPubMed
Beauchaine, T. P., & Zalewski, M.. (2016). Physiological and developmental mechanisms of emotional lability in coercive relationships. In Dishion, T. J., & Snyder, J. J. (Eds.), The Oxford handbook of coercive relationship dynamics (pp. 3952). Oxford: Oxford University Press.Google Scholar
Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107, 238246.10.1037/0033-2909.107.2.238CrossRefGoogle ScholarPubMed
Berkowitz, L. (1989). Frustration-aggression hypothesis: Examination and reformulation. Psychological Bulletin, 106(1), 59.10.1037/0033-2909.106.1.59CrossRefGoogle ScholarPubMed
Berkowitz, L. (1993). Aggression: Its causes, consequences, and control. New York: Mcgraw-Hill Book Company.Google Scholar
Berntson, G. G., Cacioppo, J. T., & Quigley, K. S. (1994). Autonomic cardiac control. I. Estimation and validation from pharmacological blockades. Psychophysiology, 31(6), 572585.10.1111/j.1469-8986.1994.tb02350.xCrossRefGoogle ScholarPubMed
Berntson, G. G., Thomas Bigger, J. Jr, Eckberg, D. L., Grossman, P., Kaufmann, P. G., Malik, M., … Stone, P. H. (1997). Heart rate variability: Origins, methods, and interpretive caveats. Psychophysiology, 34(6), 623648.10.1111/j.1469-8986.1997.tb02140.xCrossRefGoogle ScholarPubMed
Brown, A., Fitzgerald, M. M., Shipman, K., & Schneider, R. (2007). Children's expectations of parent–child communication following interparental conflict: Do parents talk to children about conflict? Journal of Family Violence, 22(6), 407412.10.1007/s10896-007-9095-xCrossRefGoogle Scholar
Brown, T. T., & Jernigan, T. L. (2012). Brain development during the preschool years. Neuropsychology Review, 22(4), 313333.10.1007/s11065-012-9214-1CrossRefGoogle ScholarPubMed
Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In Bollen, K. A. & Long, J. S. (Eds.), Testing structural equation models (pp. 136162). Newbury Park, CA: Sage.Google Scholar
Buckholdt, K. E., Parra, G. R., & Jobe-Shields, L. (2014). Intergenerational transmission of emotion dysregulation through parental invalidation of emotions: Implications for adolescent internalizing and externalizing behaviors. Journal of Child and Family Studies, 23(2), 324332.10.1007/s10826-013-9768-4CrossRefGoogle ScholarPubMed
Byrd, A. L., Lee, A. H., Frigoletto, O. A., Zalewski, M., & Stepp, S. D. (2021). Applying new RDoC dimensions to the development of emotion regulation: Examining the influence of maternal emotion regulation on within-individual change in child emotion regulation. Development and Psychopathology, 33(5), 18211836.10.1017/S0954579421000948CrossRefGoogle Scholar
Byrd, A. L., Vine, V., Beeney, J. E., Scott, L. N., Jennings, J. R., & Stepp, S. D. (2022a). RSA reactivity to parent-child conflict as a predictor of dysregulated emotion and behavior in daily life. Psychological Medicine, 52(6), 10601068.10.1017/S0033291720002810CrossRefGoogle Scholar
Byrd, A. L., Vine, V., Frigoletto, O. A., Vanwoerden, S., & Stepp, S. D. (2022b). A multi-method investigation of parental responses to youth emotion: Prospective effects on emotion dysregulation and reactive aggression in daily life. Research on Child and Adolescent Psychopathology, 50(2), 117131.10.1007/s10802-020-00754-0CrossRefGoogle ScholarPubMed
Calkins, S., & Dedmon, S. (2000). Physiological and behavioral regulation in two-year-old children with aggressive/destructive behavior problems. Journal of Abnormal Child Psychology, 28(2), 103118.10.1023/A:1005112912906CrossRefGoogle ScholarPubMed
Calkins, S., & Hill, A. (2007). Caregiver influences on emerging emotion regulation. In Gross, J. J. (Ed.), Handbook of emotion regulation (pp. 229248). New York: The Guilford Press.Google Scholar
Cao, M., Powers, A., Cross, D., Bradley, B., & Jovanovic, T. (2017). Maternal emotion dysregulation, parenting stress, and child physiological anxiety during dark-enhanced startle. Developmental Psychobiology, 59(8), 10211030.10.1002/dev.21574CrossRefGoogle ScholarPubMed
Chang, L., Schwartz, D., Dodge, K. A., & McBride-Chang, C. (2003). Harsh parenting in relation to child emotion regulation and aggression. Journal of Family Psychology, 17(4), 598606.10.1037/0893-3200.17.4.598CrossRefGoogle ScholarPubMed
Chaplin, T. M., Klein, M. R., Cole, P. M., & Turpyn, C. C. (2017). Developmental change in emotion expression in frustrating situations: The roles of context and gender. Infant and Child Development, 26(6), e2028.10.1002/icd.2028CrossRefGoogle ScholarPubMed
Cole, P. M., Lougheed, J. P., & Ram, N. (2018). The development of emotion regulation in early childhood. In Cole, P. M. & Hollenstein, T. (Eds.), Emotion regulation: A matter of time (pp. 5269). New York: Routledge.10.4324/9781351001328-3CrossRefGoogle Scholar
Crowell, S. E., Beauchaine, T. P., & Linehan, M. M. (2009). A biosocial developmental model of borderline personality: Elaborating and extending Linehan's theory. Psychological Bulletin, 135(3), 495.10.1037/a0015616CrossRefGoogle ScholarPubMed
Davis, E. L., Brooker, R. J., & Kahle, S. (2020). Considering context in the developmental psychobiology of self-regulation. Developmental Psychobiology, 62(4), 423435.10.1002/dev.21945CrossRefGoogle ScholarPubMed
de Geus, E. J., Gianaros, P. J., Brindle, R. C., Jennings, J. R., & Berntson, G. G. (2019). Should heart rate variability be ‘corrected’ for heart rate? Biological, quantitative, and interpretive considerations. Psychophysiology, 56(2), e13287.10.1111/psyp.13287CrossRefGoogle ScholarPubMed
Dixon-Gordon, K. L., Marsh, N. P., Balda, K. E., & McQuade, J. D. (2020). Parent emotion socialization and child emotional vulnerability as predictors of borderline personality features. Journal of Abnormal Child Psychology, 48(1), 135147.Google ScholarPubMed
Dunn, L. M., & Dunn, L. M. (2003). Peabody picture vocabulary test: Kit A + B manual. New York: Pearson Assessment.Google Scholar
Eisenberg, N., Cumberland, A., & Spinrad, T. L. (1998). Parental socialization of emotion. Psychological Inquiry, 9(4), 241273.10.1207/s15327965pli0904_1CrossRefGoogle ScholarPubMed
Eisenberg, N., Fabes, R. A., & Murphy, B. C. (1996). Parents’ reactions to children's negative emotions: Relations to children's social competence and comforting behavior. Child Development, 67(5), 22272247.10.2307/1131620CrossRefGoogle ScholarPubMed
Ellis, B. J., & Boyce, W. T. (2008). Biological sensitivity to context. Current Directions in Psychological Science, 17(3), 183187.10.1111/j.1467-8721.2008.00571.xCrossRefGoogle Scholar
Fabes, R. A., Poulin, R. E., Eisenberg, N., & Madden-Derdich, D. A. (2002). The Coping with Children's Negative Emotions Scale (CCNES): Psychometric properties and relations with children's emotional competence. Marriage & Family Review, 73(3), 893915.Google Scholar
Fanti, K. A., Eisenbarth, H., Goble, P., Demetriou, C., Kyranides, M. N., Goodwin, D., … Cortese, S. (2019). Psychophysiological activity and reactivity in children and adolescents with conduct problems: A systematic review and meta-analysis. Neuroscience & Biobehavioral Reviews, 100, 98107.10.1016/j.neubiorev.2019.02.016CrossRefGoogle ScholarPubMed
First, M., Williams, J., Karg, R., & Spitzer, R. (2015). Structured clinical interview for DSM-5 – Research version (SCID-5 for DSM-5, research version; SCID-5-RV) (pp. 194). Arlington, VA: American Psychiatric Association.Google Scholar
Fraley, C. (2018). Probing interactions in differential susceptibility research. Retrieved from https://www.yourpersonality.net/interaction/ros3.pl.Google Scholar
Frigoletto, O. A., Byrd, A. L., Vine, V., Vanwoerden, S., Zalewski, M., & Stepp, S. D. (2022). Internalizing and externalizing problems among at-risk preschoolers: The mediating role of maternal invalidation. Child Psychiatry & Human Development, 110.Google ScholarPubMed
Gao, M., Brown, M. A., Neff, D., Crowell, S. E., & Conradt, E. (2021). Prenatal paternal stress predicts infant parasympathetic functioning above and beyond maternal prenatal stress. Journal of Reproductive and Infant Psychology, 114.Google ScholarPubMed
Garon, N., Bryson, S. E., & Smith, I. M. (2008). Executive function in preschoolers: A review using an integrative framework. Psychological Bulletin, 134(1), 31.10.1037/0033-2909.134.1.31CrossRefGoogle ScholarPubMed
Goldsmith, H., & Rothbart, M. (1996). The laboratory temperament assessment battery (LabTAB): Locomotor version 3.0 technical manual. Madison, WI: Department of Psychology, University of Wisconsin.Google Scholar
Graziano, P., & Derefinko, K. (2013). Cardiac vagal control and children's adaptive functioning: A meta-analysis. Biological Psychology, 94(1), 2237.10.1016/j.biopsycho.2013.04.011CrossRefGoogle ScholarPubMed
Hajal, N. J., & Paley, B. (2020). Parental emotion and emotion regulation: A critical target of study for research and intervention to promote child emotion socialization. Developmental Psychology, 56(3), 403.10.1037/dev0000864CrossRefGoogle ScholarPubMed
Hartup, W. W. (1974). Aggression in childhood: Developmental perspectives. American Psychologist, 29(5), 336.10.1037/h0037622CrossRefGoogle ScholarPubMed
Hastings, P. D., & Kahle, S. (2019). Get bent into shape: The non-linear, multi-system, contextually-embedded psychophysiology of emotional development. In LoBue, V., Pérez-Edgar, K., & Buss, K. (Eds.), Handbook of emotional development (pp. 2755). New York: Springer.10.1007/978-3-030-17332-6_3CrossRefGoogle Scholar
Havighurst, S., & Kehoe, C. (2017). The role of parental emotion regulation in parent emotion socialization: Implications for intervention. In Deater-Deckard, K., & Panneton, R. (Eds.), Parental stress and early child development (pp. 285307). New York: Springer.10.1007/978-3-319-55376-4_12CrossRefGoogle Scholar
Highlander, A., Zachary, C., Jenkins, K., Loiselle, R., McCall, M., Youngstrom, J., … Jones, D. J. (2022). Clinical presentation and treatment of early-onset behavior disorders: The role of parent emotion regulation, emotion socialization, and family income. Behavior Modification, 46(5), 10471074.10.1177/01454455211036001CrossRefGoogle ScholarPubMed
Hubbard, J. A., Smithmyer, C. M., Ramsden, S. R., Parker, E. H., Flanagan, K. D., Dearing, K. F., … Simons, R. F. (2002). Observational, physiological, and self-report measures of children's anger: Relations to reactive versus proactive aggression. Child Development, 73(4), 11011118.10.1111/1467-8624.00460CrossRefGoogle ScholarPubMed
Huesmann, L. R., Dubow, E. F., & Boxer, P. (2009). Continuity of aggression from childhood to early adulthood as a predictor of life outcomes: Implications for the adolescent-limited and life-course-persistent models. Aggressive Behavior, 35(2), 136149.10.1002/ab.20300CrossRefGoogle ScholarPubMed
Jones, S. C., & Neblett, E. W. (2017). Future directions in research on racism-related stress and racial-ethnic protective factors for Black youth. Journal of Clinical Child & Adolescent Psychology, 46(5), 754766.10.1080/15374416.2016.1146991CrossRefGoogle ScholarPubMed
Kaufman, J. S., & Cooper, R. S. (2001). Commentary: Considerations for use of racial/ethnic classification in etiologic research. American Journal of Epidemiology, 154(4), 291298.10.1093/aje/154.4.291CrossRefGoogle ScholarPubMed
Kazdin, A. E. (2003). Psychotherapy for children and adolescents. Annual Review of Psychology, 54, 253276.10.1146/annurev.psych.54.101601.145105CrossRefGoogle ScholarPubMed
Kline, R. B. (2015). Principles and practice of structural equation modeling. New York: Guilford Publications.Google Scholar
Kokko, K., Tremblay, R. E., Lacourse, E., Nagin, D. S., & Vitaro, F. (2006). Trajectories of prosocial behavior and physical aggression in middle childhood: Links to adolescent school dropout and physical violence. Journal of Research on Adolescence, 16(3), 403428.10.1111/j.1532-7795.2006.00500.xCrossRefGoogle Scholar
Lieb, K., Zanarini, M. C., Schmahl, C., Linehan, M., & Bohus, M. (2004). Borderline personality disorder. Lancet, 364(9432), 453461.10.1016/S0140-6736(04)16770-6CrossRefGoogle ScholarPubMed
Linehan, M. (1993). Cognitive-behavioral treatment of borderline personality disorder. New York: Guilford Press.Google Scholar
Loeber, R., & Hay, D. (1997). Key issues in the development of aggression and violence from childhood to early adulthood. Annual Review of Psychology, 48(1), 371410.10.1146/annurev.psych.48.1.371CrossRefGoogle ScholarPubMed
Lorber, M. F. (2004). Psychophysiology of aggression, psychopathy, and conduct problems: A meta-analysis. Psychological Bulletin, 130(4), 531552.10.1037/0033-2909.130.4.531CrossRefGoogle ScholarPubMed
Martin, C. G., Roos, L. E., Zalewski, M., & Cummins, N. (2017). A dialectical behavior therapy skills group case study on mothers with severe emotion dysregulation. Cognitive and Behavioral Practice, 24(4), 405415.10.1016/j.cbpra.2016.08.002CrossRefGoogle Scholar
McDonald, R. P., & Ho, M. R. (2002). Principles and practice in reporting structural equation analyses. Psychological Methods, 7(1), 6482.10.1037/1082-989X.7.1.64CrossRefGoogle ScholarPubMed
McQuade, J. D., & Breaux, R. P. (2017). Parent emotion socialization and pre-adolescent's social and emotional adjustment: Moderating effects of autonomic nervous system reactivity. Biological Psychology, 130, 6776.10.1016/j.biopsycho.2017.10.007CrossRefGoogle ScholarPubMed
McQuade, J. D., Dixon-Gordon, K. L., Breaux, R., & Babinski, D. E. (2021). Interactive effects of parent emotion socialization and child physiological reactivity in predicting adolescent borderline personality disorder features. Research on Child and Adolescent Psychopathology, 112.Google ScholarPubMed
Meyer, S., Raikes, H. A., Virmani, E. A., Waters, S., & Thompson, R. A. (2014). Parent emotion representations and the socialization of emotion regulation in the family. International Journal of Behavioral Development, 38(2), 164173.10.1177/0165025413519014CrossRefGoogle Scholar
Monfredi, O., Lyashkov, A. E., Johnsen, A.-B., Inada, S., Schneider, H., Wang, R., … Lakatta, E. G. (2014). Biophysical characterization of the underappreciated and important relationship between heart rate variability and heart rate. Hypertension, 64(6), 13341343.10.1161/HYPERTENSIONAHA.114.03782CrossRefGoogle ScholarPubMed
Monks, C. P., Smith, P. K., & Swettenham, J. (2005). Psychological correlates of peer victimisation in preschool: Social cognitive skills, executive function and attachment profiles. Aggressive Behavior, 31(6), 571588.10.1002/ab.20099CrossRefGoogle Scholar
Moore, C. C., Hubbard, J., Morrow, M. T., Barhight, L. R., Lines, M. M., Sallee, M., & Hyde, C. T. (2018). The simultaneous assessment of and relations between children's sympathetic and parasympathetic psychophysiology and their reactive and proactive aggression. Aggressive Behavior, 44(6), 614623.10.1002/ab.21786CrossRefGoogle ScholarPubMed
Morelen, D., Shaffer, A., & Suveg, C. (2016). Maternal emotion regulation: Links to emotion parenting and child emotion regulation. Journal of Family Issues, 37(13), 18911916.10.1177/0192513X14546720CrossRefGoogle Scholar
Morris, A. S., Criss, M. M., Silk, J. S., & Houltberg, B. J. (2017). The impact of parenting on emotion regulation during childhood and adolescence. Child Development Perspectives, 11(4), 233238.10.1111/cdep.12238CrossRefGoogle Scholar
Morris, A. S., Silk, J. S., Steinberg, L., Myers, S. S., & Robinson, L. R. (2007). The role of the family context in the development of emotion regulation. Social Development, 16(2), 361388.10.1111/j.1467-9507.2007.00389.xCrossRefGoogle ScholarPubMed
Murray-Close, D., Holterman, L. A., Breslend, N. L., & Sullivan, A. (2017). Psychophysiology of proactive and reactive relational aggression. Biological Psychology, 130, 7785.10.1016/j.biopsycho.2017.10.005CrossRefGoogle ScholarPubMed
Muthén, L. K., & Muthén, B. (2017). Mplus user's guide: Statistical analysis with latent variables, user's guide. Los Angeles, CA: Muthén & Muthén.Google Scholar
Ostlund, B. D., Vlisides-Henry, R. D., Crowell, S. E., Raby, K. L., Terrell, S., Brown, M. A., … Shakib, J. H. (2019). Intergenerational transmission of emotion dysregulation: Part II. Developmental origins of newborn neurobehavior. Development and Psychopathology, 31(3), 833846.10.1017/S0954579419000440CrossRefGoogle ScholarPubMed
Ostrov, J. M., & Houston, R. J. (2008). The utility of forms and functions of aggression in emerging adulthood: Association with personality disorder symptomatology. Journal of Youth and Adolescence, 37(9), 11471158.10.1007/s10964-008-9289-4CrossRefGoogle Scholar
Perry, N. B., Calkins, S. D., Nelson, J. A., Leerkes, E. M., & Marcovitch, S. (2012). Mothers’ responses to children's negative emotions and child emotion regulation: The moderating role of vagal suppression. Developmental Psychobiology, 54(5), 503513.10.1002/dev.20608CrossRefGoogle ScholarPubMed
Perry, N. B., Dollar, J. M., Calkins, S. D., & Bell, M. A. (2018). Developmental cascade and transactional associations among biological and behavioral indicators of temperament and maternal behavior. Child Development, 89(5), 17351751.10.1111/cdev.12842CrossRefGoogle ScholarPubMed
Pfohl, B., Blum, N., & Zimmerman, M. (1995). The structured interview for DSM-IV personality disorders: SIDP-IV. Iowa City: University of Iowa.Google Scholar
Porges, S. W. (2007). The polyvagal perspective. Biological Psychology, 74(2), 116143.10.1016/j.biopsycho.2006.06.009CrossRefGoogle ScholarPubMed
Ramsden, S. R., & Hubbard, J. A. (2002). Family expressiveness and parental emotion coaching: Their role in children's emotion regulation and aggression. Journal of Abnormal Child Psychology, 30(6), 657667.10.1023/A:1020819915881CrossRefGoogle ScholarPubMed
Rathus, J. H., & Miller, A. L. (2000). DBT for adolescents: Dialectical dilemmas and secondary treatment targets. Cognitive and Behavioral Practice, 7(4), 425434.10.1016/S1077-7229(00)80054-1CrossRefGoogle Scholar
Richeson, J. A., & Sommers, S. R. (2016). Toward a social psychology of race and race relations for the twenty-first century. Annual Review of Psychology, 67, 439463.10.1146/annurev-psych-010213-115115CrossRefGoogle Scholar
Rueger, S. Y., Katz, R. L., Risser, H. J., & Lovejoy, M. C. (2011). Relations between parental affect and parenting behaviors: A meta-analytic review. Parenting: Science and Practice, 11(1), 133.10.1080/15295192.2011.539503CrossRefGoogle Scholar
Rutherford, H. J., Wallace, N. S., Laurent, H. K., & Mayes, L. C. (2015). Emotion regulation in parenthood. Developmental Review, 36, 114.10.1016/j.dr.2014.12.008CrossRefGoogle ScholarPubMed
Scarpa, A., Haden, S. C., & Tanaka, A. (2010). Being hot-tempered: Autonomic, emotional, and behavioral distinctions between childhood reactive and proactive aggression. Biological Psychology, 84(3), 488496.10.1016/j.biopsycho.2009.11.006CrossRefGoogle ScholarPubMed
Scarpa, A., & Raine, A. (1997). Psychophysiology of anger and antisocial behavior. Psychiatric Clinics of North America, 20(2), 375394.10.1016/S0193-953X(05)70318-XCrossRefGoogle Scholar
Schaeffer, C. M., Petras, H., Ialongo, N., Poduska, J., & Kellam, S. (2003). Modeling growth in boys' aggressive behavior across elementary school: Links to later criminal involvement, conduct disorder, and antisocial personality disorder. Developmental Psychology, 39(6), 10201035.10.1037/0012-1649.39.6.1020CrossRefGoogle ScholarPubMed
Shader, T. M., Gatzke-Kopp, L. M., Crowell, S. E., Reid, M. J., Thayer, J. F., Vasey, M. W., … Beauchaine, T. P. (2018). Quantifying respiratory sinus arrhythmia: Effects of misspecifying breathing frequencies across development. Development and Psychopathology, 30(1), 351366.10.1017/S0954579417000669CrossRefGoogle ScholarPubMed
Squires, J., Bricker, D. D., & Twombly, E. (2009). Ages & stages questionnaires. Baltimore, MD, USA: Paul H. Brookes.Google Scholar
Thompson, R. A. (1994). Emotion regulation: A theme in search of definition. Monographs of the Society for Research in Child Development, 59(2–3), 2552.10.1111/j.1540-5834.1994.tb01276.xCrossRefGoogle ScholarPubMed
Tremblay, R. E., Nagin, D. S., Seguin, J. R., Zoccolillo, M., Zelazo, P. D., Boivin, M., … Japel, C. (2004). Physical aggression during early childhood: Trajectories and predictors. Pediatrics, 114(1), e43e50.10.1542/peds.114.1.e43CrossRefGoogle ScholarPubMed
Tremblay, R. E., Nagin, D. S., Seguin, J. R., Zoccolillo, M., Zelazo, P. D., Boivin, M., … Japel, C. (2005). Physical aggression during early childhood: Trajectories and predictors. The Canadian Child and Adolescent Psychiatry Review, 14(1), 39.Google ScholarPubMed
Vitaro, F., Barker, E. D., Boivin, M., Brendgen, M., & Tremblay, R. E. (2006). Do early difficult temperament and harsh parenting differentially predict reactive and proactive aggression? Journal of Abnormal Child Psychology, 34(5), 685695.10.1007/s10802-006-9055-6CrossRefGoogle ScholarPubMed
Wagner, N. J., Hastings, P. D., & Rubin, K. H. (2018). Children's autonomic functioning moderates links between maternal rejecting attitudes and preschool aggressive behaviors. Developmental Psychobiology, 60(6), 739747.10.1002/dev.21747CrossRefGoogle ScholarPubMed
Wagner, N. J., Holochwost, S. J., Lynch, S. F., Mills-Koonce, R., & Propper, C. (2021). Characterizing change in vagal tone during the first three years of life: A systematic review and empirical examination across two longitudinal samples. Neuroscience & Biobehavioral Reviews, 129, 282295.10.1016/j.neubiorev.2021.07.025CrossRefGoogle ScholarPubMed
West, K. B., Shaffer, A., Wickrama, K. A., Han, Z. R., & Suveg, C. (2021). Preschoolers’ dynamic respiratory sinus arrhythmia (RSA) change during a challenging parent-child interactive task: Relations with preschoolers’ socioemotional health. Developmental Psychobiology, 63(5), 11321145.10.1002/dev.22054CrossRefGoogle ScholarPubMed
Williams, K. T. (1997). Expressive vocabulary test second edition (EVT™ 2). Journal of the American Academy of Child & Adolescent Psychiatry, 42, 864872.Google Scholar
Zalewski, M., Lewis, J. K., & Martin, C. G. (2018). Identifying novel applications of dialectical behavior therapy: Considering emotion regulation and parenting. Current Opinion in Psychology, 21, 122126.10.1016/j.copsyc.2018.02.013CrossRefGoogle ScholarPubMed
Zanarini, M. C., Vujanovic, A. A., Parachini, E. A., Boulanger, J. L., Frankenburg, F. R., & Hennen, J. (2003). A screening measure for BPD: The McLean screening instrument for borderline personality disorder (MSI-BPD). Journal of Personality Disorders, 17(6), 568573.10.1521/pedi.17.6.568.25355CrossRefGoogle ScholarPubMed
Zimmer-Gembeck, M. J., Rudolph, J., Kerin, J., & Bohadana-Brown, G. (2021). Parent emotional regulation: A meta-analytic review of its association with parenting and child adjustment. International Journal of Behavioral Development, 46(1), 6382.10.1177/01650254211051086CrossRefGoogle Scholar
Zuckerman, M. (1999). Diathesis-stress models. In Zuckerman, M. (Ed.), Vulnerability to psychopathology: A biosocial model (pp. 323). New York: American Psychological Association.10.1037/10316-001CrossRefGoogle Scholar
Figure 0

Table 1. Descriptive statistics for all study variables by maternal ER difficulties

Figure 1

Table 2. Bivariate correlations between primary study variables

Figure 2

Fig. 1. Multivariate model testing independent and interactive paths from maternal ER difficulties, maternal invalidation, and RSA reactivity to frustration to teacher-reported aggression.Note. Overall model fit was good [χ2(11) = 8.50, p = 0.67; CFI = 1.00; TLI = 1.00; RMSEA < 0.01]. R2(aggressive behavior) = 0.33. Significant associations are bolded and represent standardized effects after accounting for child age, child sex, child minority status, family receipt of public assistance, and child baseline RSA. The direct path between clinician-rated maternal ER difficulties and teacher-reported aggression was also modeled (though not shown above) and was non-significant [β = 0.19 (0.14), p = 0.18]. *p < 0.05; **p < 0.01.

Figure 3

Fig. 2. Maternal invalidation moderates the effect of child RSA reactivity to frustration on teacher-reported aggression. Predictors were mean-centered, and effects are shown at ±1 s.d. above and below the mean on maternal invalidation (mean = 2.39; s.d. = 0.67; range = 1.31–4.61), with higher values reflecting more maternal invalidation, and lower values reflecting less maternal invalidation. Simple slope analyses revealed that child RSA reactivity was related to teacher-reported aggression at higher levels of maternal invalidation (+1 s.d.: b = − 0.57, p = 0.03), but not at lower levels of maternal invalidation (−1 s.d.: b = 0.15, p = 0.29). The overlapping shaded areas represent the point beyond which child RSA reactivity, specifically RSA withdrawal (<−0.36; mean-centered range = −2.93 to 1.87), predicted teacher-reported aggression for preschoolers with higher maternal invalidation (>0.67; mean-centered range = −1.62 to 3.35).

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