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From prenatal maternal anxiety and respiratory sinus arrhythmia to toddler internalizing problems: The role of infant negative affectivity

Published online by Cambridge University Press:  20 September 2024

Anna M. Zhou*
Affiliation:
Department of Psychology, The University of Utah, Salt Lake City, UT, USA
Mengyu (Miranda) Gao
Affiliation:
Department of Psychology, Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, National Virtual Simulation Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, Beijing, UT, China
Brendan Ostlund
Affiliation:
Pennsylvania State University, University Park, PA, USA
Sarah E. Maylott
Affiliation:
Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
Nicolette C. Molina
Affiliation:
Department of Psychology, University of Oregon, Eugene, OR, USA
Madeleine Bruce
Affiliation:
Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
K. Lee Raby
Affiliation:
Department of Psychology, The University of Utah, Salt Lake City, UT, USA
Elisabeth Conradt
Affiliation:
Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
Sheila E. Crowell
Affiliation:
Department of Psychology, University of Oregon, Eugene, OR, USA
*
Corresponding author: Anna M. Zhou; email: anna.m.zhou@cuanschutz.edu.
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Abstract

Prenatal maternal anxiety is considered a risk factor for the development of child internalizing problems. However, little is known about potential mechanisms that account for these associations. The current study examined whether prenatal maternal anxiety was indirectly associated with toddler internalizing problems via prenatal maternal physiology and infant negative affectivity. We examined these associations in a longitudinal study of 162 expectant mothers from their third trimester until 18 months postpartum. Path analyses showed that higher prenatal anxiety was associated with higher infant negative affectivity at 7 months, which in turn was associated with higher toddler internalizing problems at 18 months. Prenatal anxiety was not indirectly associated with child outcomes via baseline or task-evoked respiratory sinus arrhythmia (RSA) in response to an infant cry while pregnant. However, pregnant women with greater decreases in task-evoked RSA had toddlers with greater internalizing problems, which was mediated by infant negative affectivity at 7 months. Findings suggest that prenatal anxiety and RSA reactivity to an infant cry may be independent risk factors for the development of infant negative affectivity, which in turn increases risk for toddler internalizing problems. These findings contribute to a growing literature on mechanisms that underlie intergenerational transmission of internalizing problems.

Type
Regular Article
Copyright
© The Author(s), 2024. Published by Cambridge University Press

Introduction

Elevated internalizing problems emerge as early as toddlerhood, with some children exhibiting stable, high internalizing symptoms that persist into adolescence (e.g., Sterba et al., Reference Sterba, Prinstein and Cox2007). Understanding developmental factors that contribute to early internalizing psychopathology may be informative for determining optimal intervention targets aimed at reducing the likelihood of maladaptive socioemotional outcomes. Parental anxiety is one risk factor associated with the development of childhood internalizing behaviors (depression and anxiety) (e.g., Ahmadzadeh et al., Reference Ahmadzadeh, Eley, Leve, Shaw, Natsuaki, Reiss, Neiderhiser and McAdams2019; Barker et al., Reference Barker, Jaffee, Uher and Maughan2011; Field, Reference Field2017). Both theoretical and empirical work on internalizing problems across generations highlight multiple mechanisms underlying these associations; these include heritability of internalizing problems, prenatal programming of neurobiological systems in the child, and environmental transmission (e.g., Eley et al., Reference Eley, McAdams, Rijsdijk, Lichtenstein, Narusyte, Reiss, Spotts, Ganiban and Neiderhiser2015; Goodman & Gotlib, Reference Goodman and Gotlib1999; Perlman et al., Reference Perlman, Lunkenheimer, Panlilio and Pérez-Edgar2022). These same mechanistic processes may also shape temperament, which can be associated with higher child internalizing problems.

During pregnancy, at least one in five pregnant people receive a diagnosis of a mood and/or anxiety disorder (Araji et al., Reference Araji, Griffin, Dixon, Spencer, Peavie and Wallace2020). Given these high prevalence rates, it is important to consider downstream consequences of prenatal anxiety symptoms that may impact the emergence of child internalizing problems. Anxiety symptoms during pregnancy are associated with behavioral and emotional problems in children (e.g., O’Connor et al., Reference O’Connor, Heron, Golding and Glover2003). These findings suggest that the psychological states of expectant mothers during pregnancy may play a programming role, though the pathways by which maternal mental health associates with toddler internalizing problems are not well understood. The present study examined whether prenatal maternal anxiety symptoms may be indirectly associated with child internalizing problems via risk factors such as prenatal maternal physiology and infant temperamental negative affect.

Prenatal maternal anxiety and stress physiology

Prenatal maternal anxiety symptoms may play an important role in shaping malleable biological systems of a developing fetus. Fetal programming and adaptive calibration models take an evolutionary approach that highlight the importance of the prenatal environment for offspring adaptation (Del Giudice, Reference Del Giudice2012; Del Giudice et al., Reference Del Giudice, Ellis and Shirtcliff2011). These models suggest that the prenatal environment provides important information about the external world, and the fetus develops accordingly to prepare for survival. Therefore, it is important to consider possible mechanisms linking prenatal maternal anxiety to later infant and toddler outcomes.

While there is a high comorbidity between anxiety and depressive symptoms during pregnancy, the tripartite model (Clark & Watson, Reference Clark and Watson1991) proposes that physiological hyperarousal (i.e., excessive increase in physiological responsivity to stimuli) is a specific characteristic of anxiety disorders. It is possible that maternal anxiety symptoms during pregnancy may influence the developing fetus through its effects on maternal stress physiology. Maternal autonomic nervous system responses may play a mediating role between maternal anxiety symptoms and fetal systems underlying arousal and reactivity, as maternal autonomic nervous system activity during pregnancy plays a key role in neurovascular signaling to regulate blood pressure and blood flow (Fu & Levine, Reference Fu and Levine2009). Additionally, there is some evidence that the vagus nerve regulates contractions of the uterine muscle and affects uterine blood flow in animals (e.g., Ortega-Villalobos et al., Reference Ortega-Villalobos, García-Bazán, Solano-Flores, Ninomiya-Alarcón, Guevara-Guzmán and Wayner1990). Taken together, these may be mechanisms by which autonomic nervous system activity could impact the developing fetus and signal stress in the environment.

One measure of parasympathetic nervous system activity is respiratory sinus arrhythmia (i.e., high-frequency heart rate variability; RSA). RSA is a psychophysiological measure of arousal regulation and is one index of a person’s capacity to self-regulate in order to engage with environmental demands (Beauchaine, Reference Beauchaine2001). Baseline RSA captures parasympathetic nervous system activity at rest. Under optimal stimulus conditions, baseline RSA can provide insight into a person’s parasympathetic functioning and their capacity to regulate in the face of environmental stressors. RSA reactivity, or change in RSA from baseline to task, can provide information on physiological regulation during a stressor. Generally, a moderate decrease in RSA is considered an adaptive response as the body prepares itself to react to a stressor while an excessive decrease in RSA to a stressor may reflect rapid and exaggerated shifts in mood/affect (Beauchaine, Reference Beauchaine2001).

RSA is often conceptualized as a transdiagnostic biomarker of psychopathology (Beauchaine & Thayer, Reference Beauchaine and Thayer2015). Therefore, it is not surprising that some associations emerge between RSA and anxiety symptoms specifically. In adult, nonpregnant clinical samples, individuals diagnosed with an anxiety disorder exhibit differential patterns of autonomic reactivity marked by “heightened (i.e., excessive or contextually disproportionate) decreases in RSA, perhaps reflecting processes such as hypervigilance for threat (e.g., Campbell & Wisco, Reference Campbell and Wisco2021; Thayer et al., Reference Thayer, Friedman and Borkovec1996). However, findings are not always consistent, likely due to differences in sampling, the types of tasks that researchers use, and heterogeneity of anxiety disorders. Several studies fail to find differences in task-based RSA between individuals with and without an anxiety disorder (e.g., Fisher & Newman, Reference Fisher and Newman2013; Hammel et al., Reference Hammel, Smitherman, McGlynn, Mulfinger, Lazarte and Gothard2011). Additionally, there were no associations between anxiety symptoms and either baseline RSA or RSA reactivity in nonclinical samples (Jönsson, Reference Jönsson2007). Given mixed findings in the extant literature between trait anxiety and RSA in adults (e.g., Campbell & Wisco, Reference Campbell and Wisco2021 for review), more research is needed to better understand these associations. Even less work has been conducted during pregnancy, though there is some evidence that there are associations between anxiety symptoms and RSA during the prenatal period. Trait anxiety during pregnancy was associated with lower, resting state high-frequency heart rate variability (i.e., RSA; Mizuno et al., Reference Mizuno, Tamakoshi and Tanabe2017), consistent with studies that lower baseline RSA is often associated with psychopathology. Less is known about associations between prenatal anxiety symptoms and RSA reactivity to a stressor.

One specific stressor that may capture physiological processes in expectant mothers is an infant cry stimulus. Responses during the infant cry task may reflect important individual differences in adult affect, physiology, and behavior (e.g., Barr et al., Reference Barr, Fairbrother, Pauwels, Green, Chen and Brant2014). For example, psychophysiological responses elicited by stimuli involving infant cries have been associated with prenatal emotion dysregulation, such that expectant mothers with higher levels of emotion dysregulation exhibited more blunted RSA responsivity to an infant cry task (Lin et al., Reference Lin, Kaliush, Conradt, Terrell, Neff, Allen, Smid, Monk and Crowell2019). Additionally, expectant mothers’ responses to an infant cry paradigm during pregnancy have been linked with both infant outcomes (e.g., newborn neurobehavior; Ostlund et al., Reference Ostlund, Vlisides-Henry, Crowell, Raby, Terrell, Brown, Tinajero, Shakiba, Monk, Shakib, Buchi and Conradt2019) as well as postpartum caregiving and measures of maternal sensitivity (e.g., Leerkes et al., Reference Leerkes, Sommers and Bailes2022; Ablow et al., Reference Ablow, Marks, Shirley Feldman and Huffman2013). Specifically, physiological arousal during pregnancy is associated with higher postpartum sensitivity and may reflect an adaptive response during this developmental period (Leerkes et al., Reference Leerkes, Sommers and Bailes2022). This body of work establishes the infant cry task as an important paradigm to consider in relation to mechanisms underlying parental affect and infant outcomes. Given that prenatal trait anxiety may be linked with differences in physiological responses to an infant cry task, which in turn may be associated with infant outcomes, it is important to test these associations as a possible mechanistic pathway.

In light of mixed findings, more work is needed to understand links between prenatal autonomic reactivity and infant outcomes. A current gap in the literature involves understanding how prenatal maternal anxiety and maternal RSA reactivity are associated during pregnancy, as well as how measures of prenatal maternal RSA may be associated with child socioemotional outcomes. Understanding these links between trait anxiety and both baseline RSA and RSA reactivity during pregnancy can inform our understanding of how the maternal stress response system may underlie processes involved in fetal programming of offspring outcomes.

Infant negative affectivity

Temperament traits are biologically based individual differences in domains such as reactivity, sociability, activity, and emotionality (Rothbart & Bates, Reference Rothbart, Bates and Eisenberg2006; Shiner et al., Reference Shiner, Buss, McClowry, Putnam, Saudino and Zentner2012). Studies have established associations between child temperament and later internalizing psychopathology, with a large literature focusing on temperamental negative affectivity (Klein et al., Reference Klein, Dyson, Kujawa, Kotov, Zentner and Shiner2012). Negative affectivity is characterized by individual differences in sadness, discomfort, frustration, fear, and difficulty with soothing (Rothbart & Bates, Reference Rothbart, Bates and Eisenberg2006). Infants and children with high negative affect may have higher stress during negative experiences due to increased reactivity and difficulties regulating negative emotions, which in turn increases risk for the development of internalizing problems (Klein et al., Reference Klein, Dyson, Kujawa, Kotov, Zentner and Shiner2012).

Emerging evidence suggests infant temperament may be partially shaped by the prenatal environment, including expectant mothers’ anxiety symptoms during pregnancy (Werner et al., Reference Werner, Myers, Fifer, Cheng, Fang, Allen and Monk2007; Foss et al., Reference Foss, So, Petty, Waber, Wright and Bosquet Enlow2022). This idea is consistent with prenatal programming perspectives, as temperament traits are often considered a marker of susceptibility to later environmental risk factors (Gallagher, Reference Gallagher2002; Hartman & Belsky, Reference Hartman and Belsky2018). Higher levels of maternal anxiety symptoms in utero may signal to the developing fetus a need to develop heightened awareness of the environment through biological processes such as stress hormones and physiological changes. Fetal programming scholars propose that a fetus adapts to the anticipated postnatal environment based on maternal cues, leading to different child phenotypes (Lester et al., Reference Lester, Conradt and Marsit2014; Schlotz & Phillips, Reference Schlotz and Phillips2009). If a pregnant woman has more maternal anxiety symptoms, it may be indicative to the fetus that they may be born into a stressful environment. Thus, the development of postnatal plasticity in infants may be a beneficial and adaptive trait to meet the demands of a stressful environment (Hartman & Belsky, Reference Hartman and Belsky2018). A systematic review of 23 studies found consistent positive associations between prenatal maternal anxiety symptoms and infant negative affectivity and reactivity assessed during the first two years of life, with effect sizes ranging from low to moderate (Korja et al., Reference Korja, Nolvi, Grant and McMahon2017). However, one gap that remains is understanding how prenatal maternal autonomic physiology may also be associated with the development of infant negative affectivity. A better understanding may shed light on whether maternal stress physiology during the third trimester may play a programming role in the development of infant temperament.

Additionally, prenatal maternal anxiety symptoms may be indirectly associated with internalizing problems via infant negative affectivity. For example, maternal self-reported prenatal stress, anxiety, and depressive symptoms early in pregnancy were directly associated with toddler negative affectivity at age 3, which in turn was associated with internalizing problems at age 5 (Hentges et al., Reference Hentges, Graham, Plamondon, Tough and Madigan2019). These findings provide some evidence that there may be developmental cascades from pregnancy to early childhood that set the stage for children’s risk for internalizing psychopathology. However, less work has examined the mechanisms underlying these indirect associations between maternal anxiety symptoms and infant outcomes in relation to maternal physiological processes during pregnancy. More multimethod research is needed to better understand these pathways from the prenatal period to infancy and toddlerhood to capture earlier indices of risk for intervention and prevention.

The present study

Although there is some evidence that infant negative affectivity is associated with both prenatal anxiety symptoms and later internalizing behaviors, there has been less work directly examining infant negative affectivity as a possible pathway by which exposure to maternal prenatal anxiety symptoms may be associated with toddler internalizing problems. In addition, to our knowledge, no studies to date have examined whether maternal prenatal physiology might be a possible mechanism in the association between prenatal maternal anxiety symptoms and child outcomes. The present study aimed to address these gaps in the literature by examining whether prenatal maternal anxiety symptoms are indirectly associated with toddler internalizing problems at age 18 months via prenatal maternal RSA and infant negative affectivity at 7 months. Based on prior findings in the extant literature, we hypothesized that higher levels of prenatal maternal anxiety would be associated with lower levels of maternal baseline RSA and larger decreases in RSA from baseline to an infant cry task, which in turn would be associated with higher infant negative affectivity at seven months and higher toddler internalizing problems at 18 months. Additionally, we also accounted for associations with 7-month postpartum maternal anxiety symptoms to examine the robustness of associations between our prenatal constructs and child outcomes. We hypothesized that while there would be positive associations between prenatal and 7-month maternal anxiety symptoms, associations between prenatal anxiety symptoms, prenatal RSA, and infant outcomes would remain significant even after accounting for the effects of postnatal maternal anxiety symptoms. Given our hypotheses that prenatal maternal physiology may be a specific pathway by which maternal prenatal anxiety is associated with infant negative affectivity and toddler internalizing problems, we also conducted post-hoc tests examining these associations with maternal prenatal depressive symptoms. We hypothesized that while prenatal maternal depressive symptoms may be associated with infant negative affect and toddler internalizing problems, we would not find associations between prenatal maternal depressive symptoms and prenatal maternal physiological measures.

Method

Participants

Participants consisted of 162 mother–infant dyads. All study procedures were approved by the Institutional Review Boards of a large public research university and research hospital. Pregnant individuals were recruited during their third trimester of pregnancy at their prenatal care appointments or via email/phone. Pregnant individuals were between the ages of 18 and 40 (M = 28.96 years, SD = 5.14). Eligibility was determined by scores on the Difficulties in Emotion Dysregulation Scale (DERS; Gratz & Roemer, Reference Gratz and Roemer2004). Because most individuals report low to moderate levels of emotion dysregulation, we oversampled for high levels of emotion dysregulation to achieve a more uniform distribution (for recruitment and sampling details, see authors blinded for review, 2019). Additionally, expectant mothers were excluded from participation in the study if they were expecting more than one child or were diagnosed with gestational diabetes or preeclampsia to reduce variability in obstetric and birth complications within the study sample. All participants in the study provided a written informed consent before every assessment. Table 1 contains information on sample demographics for the present study.

Table 1. Sample demographics (N = 162)

Procedures

Third trimester

Eligible participants completed questionnaires online prior to a laboratory visit. The laboratory visit occurred between 26 and 40 weeks gestation (M = 33.58 weeks, SD = 2.99) and consisted of a battery of tasks and interviews. Of note, data were collected for two participants prior to 28 weeks of gestation (i.e., during late second trimester) – post-hoc analyses revealed no significant differences when these two participants were excluded from analyses, so we opted to keep them in the final sample and model. Relevant for the current study, RSA was collected during a 10-minute resting period (baseline), a Trier Social Stress Task (not analyzed here), and then an infant cry task (described below).

Infant cry task

Participants watched a series of 1-minute video clips comprising an infant cry task. The series began with a neutral seascape baseline, which was a view of the ocean with waves washing in and out. The second clip participants viewed was an infant play clip, in which a girl infant was seen playing with a toy with a female adult (only the adult’s arms and part of her body were visible). Next, participants viewed the infant cry clip, in which the same girl infant was seen sitting and crying by herself. Lastly, the participants viewed a seascape recovery, which was the same ocean scene as the seascape baseline.

7-month postpartum

Mothers were invited to participate in a follow-up visit, which included completing questionnaires online prior to a laboratory visit. Temperament and self-report trait anxiety measures were collected at this timepoint from questionnaires.

18-month postpartum

Mothers were once again invited to participate in a follow-up visit, which included completing questionnaires online prior to a laboratory visit. Parent-report measures of child socioemotional functioning (including internalizing problems) at this timepoint were used.

Measures

State-Trait Anxiety Inventory (STAI; Spielberger et al., Reference Spielberger, Gorsuch, Lushene, Vagg and Jacobs1983)

The State-Trait Anxiety Inventory (STAI) is a 40-item survey assessing emotional, physiological, and cognitive symptoms of anxiety (e.g., “I feel nervous and restless”) on a 4-point scale from 1 (Almost Never) to 4 (Almost Always). The STAI is divided into two sections that assess state and trait anxiety. For the current study, the scores that reflect trait (general) anxiety were used. These items asked participants to report how they generally feel. The STAI has demonstrated both good internal consistency and reliability in other studies (Spielberger et al., Reference Spielberger, Gorsuch, Lushene, Vagg and Jacobs1983). In our data, the internal consistency for the STAI trait scores was α = .93. Observed scores in our study ranged from 20 to 77, and 43% of our participants scored above the clinical cutoff of the STAI (i.e., above 40).

The Center for Epidemiological Studies–Depression Scale (CES-D; Radloff 1977)

The Center for Epidemiological Studies–Depression Scale (CES-D) assesses depressive symptoms like poor appetite, loneliness, and sleep issues. Respondents rate 20 items on a scale from 0 (rarely or none of the time) to 3 (most or all of the time), with total scores ranging from 0 to 60. Scores above 16 indicate a risk for clinical depression (Lewinsohn et al., Reference Lewinsohn, Seeley, Roberts and Allen1997). For our study, we used CES-D scores as a continuous variable, with observed values between 0 and 50, with good internal consistency (α = .92).

Respiratory sinus arrhythmia (RSA)

Electrocardiogram data were collected using BioLab acquisition software (version 3.1) and wireless MindWare mobile devices sampled at 500 Hz (MindWare Technologies, Ltd., Gahanna, OH). Data were captured via a three-lead spot electrode pattern with the negative lead on expectant mothers’ right clavicle, the positive lead on the bottom left rib, and the ground lead on the bottom right rib. RSA was scored in 60-s epochs (consistent with guidelines by Berntson et al., Reference Berntson, Thomas Bigger, Eckberg, Grossman, Kaufmann, Malik, Nagaraja, Porges, Saul, Stone and Van Der Molen1997) by trained research assistants using MindWare’s heart rate variability analysis software. To calculate RSA, heart rate variability analysis software automatically identified R peaks within each QRS complex and checked whether resulting interbeat intervals were within the expected deviation based on surrounding data and expected ranges for an interbeat interval series (Berntson et al., Reference Berntson, Quigley, Jang and Boysen1990). All data points flagged by the software as potentially aberrant were reviewed and, where appropriate, corrected by trained research assistants. Files with ambiguous or noisy data were referred to the senior author for review. In some cases, partial or whole tasks were unusable due to electrode nonadherence to the skin, research assistant error, or excessive movement artifacts. After the signal was cleaned, the heart period time series was detrended, and a Fast Fourier Transform was used to identify high-frequency variation. As respiration rates of pregnant individuals are higher than typical adults, we used the frequencies between .12 and .60 Hz to identify high-frequency variation.

Baseline RSA was computed by averaging all the epochs during the 10-minute resting task. We utilized this measure of baseline RSA because it was collected prior to participants completing other stress-inducing tasks during the laboratory visit and may better reflect participants’ ANS functioning at rest. We had usable RSA data during the 10-minute resting task from 98% of participants; of the 98%, 1% of participants provided partially usable RSA data (i.e., at least 2 epochs were recorded during the resting task). Additionally, 2% of participants had unusable RSA data due to equipment malfunction.

We computed a reactivity score for the infant cry task by subtracting RSA levels during the seascape baseline video from RSA levels during the infant cry video. In this way, negative scores reflected RSA decreases in response to the potentially stressful video. Because participants completed another stress-inducing task prior to the infant cry task, the seascape baseline was used to compute reactivity instead of the 10-minute baseline to reduce extraneous noise in the data that may be due to changes in RSA from other stress-inducing tasks that occurred between the 10-minute baseline and the infant cry task. We opted to characterize reactivity using a difference score instead of a residual change score as residual scores (i.e., change less than or greater than expected based on sample trend line) can be more difficult to interpret (for review, see Burt & Obradovic, Reference Burt and Obradović2013). We had usable RSA data during the infant cry task from 96% of participants; 4% of participants did not have usable data due to equipment malfunction or excessive movement artifacts.

Infant Behavior Questionnaire (IBQ-R; Gartstein & Rothbart, Reference Gartstein and Rothbart2003)

The Infant Behavior Questionnaire (IBQ-R) is a 191-item survey designed to assess general patterns of behavior associated with temperament in infancy (3–12 months). At the 7-month timepoint, Mothers rated how often they observed a behavior in the past week. Each item describes an infant behavior (e.g., During feeding, how often did the baby lie or sit quietly?) using a 7-point scale from 1 (Never) to 7 (Always). Parents are also given a “not applicable” response option for use when the infant has not been observed in the situation described. Each item loads onto one of 14 subscales: Activity Level, Distress to Limitations, Fear, Duration of Orienting, Smile/Laughter, High-intensity Pleasure, Low-intensity Pleasure, Soothability, Falling Reactivity (Rate of Recovery from Distress), Cuddliness, Perceptual Sensitivity, Sadness, Approach, and Vocal Reactivity. The IBQ-R has demonstrated good internal consistency, reliability, and validity, including correlations with laboratory observations (Gartstein & Marmion, Reference Gartstein and Marmion2008; Goldsmith & Campos, Reference Goldsmith and Campos1990; Parade & Leerkes, Reference Parade and Leerkes2008). Consistent with other research (Gartstein & Rothbart, Reference Gartstein and Rothbart2003), items from the sadness (α = .66), distress to limitations (α = .70), fear (α = .81), and falling reactivity (α = .77) subscales were used to compute a Negative Affectivity score, which had an internal consistency of α = .83.

Infant-Toddler Social and Emotional Assessment (ITSEA; Carter et al., Reference Carter, Briggs-Gowan, Jones and Little2003)

The Infant-Toddler Social and Emotional Assessment (ITSEA) is a 166-item measure designed to assess social and emotional problems and competencies in children aged 12–35 months. Each item assesses different behaviors (e.g., “Seem nervous, tense, or fearful”) and is answered on a 3-point scale from 0 (Not True) to 2 (Very True/Often). The ITSEA contains 17 subscales that capture four broad domains: externalizing behavior problems, internalizing behavior problems, dysregulation, and competence. For the current study, scores on the internalizing domain were used, and this domain had an internal consistency of α = .79.

Analytic plan

Missing data

There were 12 patterns of missing data, and Little’s MCAR test indicated the data likely were missing completely at random, χ 2 = 43.3, p = .70. Thus, full information maximum likelihood (FIML) was used to account for missing data in subsequent analyses. FIML estimators in multiple regression models with missing data are shown to produce less biased parameter estimates, especially compared to listwise deletion, pairwise deletion and mean imputation (Enders, Reference Enders2001; Graham, Reference Graham2012).

Path analyses

We ran path analyses using the lavaan package (Rosseel, Reference Rosseel2012) in R Studio version 4.1.1 to examine the associations between prenatal anxiety symptoms, prenatal physiology, infant negative affectivity, and toddler internalizing problems. We ran two separate path models: the first model included baseline RSA as the measure of prenatal physiology, and the second model included RSA reactivity to the infant cry task as the measure of prenatal physiology. We also ran path models that accounted for 7-month postpartum maternal anxiety symptoms. Lastly, we ran path analyses to examine associations between prenatal depressive symptoms, prenatal physiology, infant negative affectivity, 7-month maternal depressive symptoms, and toddler internalizing problems. All regression coefficients reported are standardized. Our estimates and standard errors were computed using bias-corrected bootstrapping with 1000 draws. The lavaan package uses FIML to account for unbiased estimates of data when data is missing at random. Model fit was evaluated using χ 2, the comparative fit index (CFI), the Tucker–Lewis index (TLI), standardized root mean square residual (SRMR), and the root mean square error of approximation (RMSEA). Good model fit is indicated by p < .05, CFI ≥ .95, TLI ≥ .95, SRMR ≤ .08, RMSEA ≤ .06 (Hu & Bentler, 1999).

Covariates

We included prenatal psychotropic medication use (including stimulants, antidepressants, antipsychotics, anti-anxiety, or mood stabilizers) as a covariate in all analyses given prior studies that establish associations between prenatal psychotropic medication use on infant neurodevelopment (e.g., Gentile, Reference Gentile2010), as well as potential associations between psychotropic medication use and electrocardiogram data (e.g., Kemp et al., Reference Kemp, Brunoni, Santos, Nunes, Dantas, Carvalho de Figueiredo, Pereira, Ribeiro, Mill, Andreão, Thayer, Benseñor and Lotufo2014, O’Regan et al., Reference O’Regan, Kenny, Cronin, Finucane and Kearney2015). In our sample, participants that indicated psychotropic medication use had lower baseline RSA compared to participants without psychotropic medication use (F = 11.51, p < .01). Additionally, consistent with sex differences in the extant literature, parents of girls endorsed significantly more internalizing problems than parents of boys in our sample (F = 8.47, p < .01). Thus, we also included child sex as a covariate in all analyses.

Results

Descriptive statistics

Table 2 contains the descriptive statistics and correlations among key variables for the current study. Of note, prenatal anxiety symptoms were negatively correlated with prenatal baseline RSA (r = −.16, p = .04) but not RSA reactivity. Prenatal anxiety symptoms also were positively correlated with infant negative affect (r = .20, p = .03). Toddler internalizing scores at 18 months were correlated with both prenatal seascape baseline RSA scores (r = .19, p = .04) and infant negative affect (r = .44, p < .01).

Table 2. Means, standard deviations, and correlations with confidence intervals

Note. M and SD are used to represent mean and standard deviation, respectively. Values in square brackets indicate the 95% confidence interval for each correlation. *indicates p < .05. **indicates p < .01.

Path models

Figure 1 depicts the first path model examining associations between prenatal anxiety symptoms, prenatal baseline RSA, 7-month infant negative affectivity and 18-month internalizing problems (χ 2 = 6.18, p = 0.52, CFI = 1.00, TLI = 1.00, RMSEA < .01, SRMR = .04). Prenatal anxiety symptoms were positively associated with 7-month infant negative affect (β = 0.235, p = .01), which in turn was positively associated with 18-month toddler internalizing problems (β = 0.403, p < .01). The indirect path from prenatal anxiety symptoms to 18-month toddler internalizing problems via 7-month infant negative affectivity was significant (β = 0.095, p = .03, CI [0.011, 0.179]). Although prenatal anxiety symptoms were negatively associated with prenatal baseline RSA (β = −0.165, p = .04), prenatal baseline RSA was not significantly associated with 7-month infant negative affectivity or 18-month toddler internalizing problems.

Figure 1. Path model depicting associations between prenatal anxiety symptoms, prenatal baseline RSA, 7-month infant negative affectivity and 18-month toddler internalizing problems. Solid lines indicate significant associations (p < .05); dashed lines indicate nonsignificant associations.

Figure 2 depicts the path model examining associations between prenatal anxiety symptoms, prenatal RSA reactivity to the infant cry task, 7-month infant negative affectivity, and 18-month toddler internalizing problems (χ 2 = 6.97, p = .43, CFI = 1.00, TLI = 1.00, RMSEA < .01, SRMR = .04). Once again, prenatal anxiety symptoms were positively associated with 7-month infant negative affectivity (β = 0.230, p = .01), which were positively associated with 18-month toddler internalizing problems (β = 0.415, p < .01). The indirect path from prenatal anxiety symptoms to 18-month toddler internalizing problems via 7-month infant negative affectivity was significant (β = 0.100, p = .04, CI [0.006, 0.185]). Although prenatal anxiety symptoms were not significantly associated with prenatal RSA reactivity, prenatal RSA reactivity was negatively associated with 7-month infant negative affectivity scores (β = −0.177, p = .01). Greater prenatal RSA decreases from baseline to task were associated with higher levels of infant negative affectivity. There was also a significant indirect path from prenatal RSA reactivity scores to 18-month toddler internalizing problems via 7-month infant negative affectivity scores (β = −0.074, p = .03, CI [−0.137, −0.010]).

Figure 2. Path model depicting associations between prenatal anxiety symptoms, prenatal RSA reactivity to an infant cry task, 7-month infant negative affectivity and 18-month toddler internalizing problems. Solid lines indicate significant associations (p < .05); dashed lines indicate nonsignificant associations.

7-month postpartum anxiety scores

We accounted for 7-month postpartum anxiety symptoms in our path models - expectedly, prenatal anxiety symptoms were significantly and positively associated with 7-month maternal anxiety symptoms in both models. Figure 3 depicts the path model examining associations between prenatal anxiety symptoms, prenatal baseline RSA, 7-month infant negative affect, 7-month maternal anxiety symptoms, and 18-month internalizing problems (χ 2 = 7.94, p = .54, CFI = 1.00, TLI = 1.00, RMSEA < .01, SRMR = .04). Findings were largely consistent with the path model with prenatal anxiety symptoms and baseline RSA (i.e., Figure 1), even after accounting for 7-month postpartum maternal anxiety symptoms. Consistent with prior models, the indirect path from prenatal anxiety symptoms to toddler internalizing problems via infant negative affectivity remained significant (β = 0.093, p = .05, CI [0.007, 0.178]).

Figure 3. Path model depicting associations between prenatal anxiety symptoms, prenatal baseline RSA, 7-month infant negative affectivity and 18-month toddler internalizing problems while accounting for associations with 7-month maternal anxiety symptoms. Solid lines indicate significant associations (p < .05); dashed lines indicate nonsignificant associations.

Figure 4 depicts the path model examining associations between prenatal anxiety symptoms, prenatal RSA reactivity to the infant cry task, 7-month infant negative affect, 7-month maternal anxiety symptoms, and 18-month internalizing problems (χ 2 = 8.65, p = .47, CFI = 1.00, TLI = 1.00, RMSEA < .01, SRMR = .05). The findings were once again consistent with the path model with prenatal anxiety symptoms and RSA reactivity (i.e., Figure 2) even after accounting for 7-month maternal anxiety symptoms. The indirect path from prenatal anxiety symptoms to toddler internalizing problems via infant negative affectivity was significant (β = 0.094, p = .04, CI [0.007, 0.180]). The indirect path from prenatal RSA reactivity to toddler internalizing problems via infant negative affectivity was also significant (β = -0.073, p = .03, CI [−0.136, −0.009]).

Figure 4. Path model depicting associations between prenatal anxiety symptoms, prenatal RSA reactivity to an infant cry task, 7-month infant negative affectivity and 18-month toddler internalizing problems while accounting for associations with 7-month maternal anxiety symptoms. Solid lines indicate significant associations (p < .05); dashed lines indicate nonsignificant associations.

Post-hoc models with prenatal and 7-month depressive symptoms

Findings from path models examining associations between prenatal maternal depressive symptoms, prenatal maternal RSA, infant negative affect, and toddler internalizing problems were consistent with associations with prenatal maternal anxiety symptoms. Figure 5 (χ 2 = 9.24, p = .42, CFI = 1.00, TLI = 0.99, RMSEA = .01, SRMR = .05) shows that there is an indirect effect from maternal depressive symptoms to toddler internalizing problems via infant negative affectivity (β = 0.106, p = .03, CI [0.01, 0.20]). Additionally, we also found that prenatal maternal depressive symptoms were negatively associated with baseline RSA (β = −0.209, p = .10, CI [−0.355, −0.063]).

Figure 5. Path model depicting associations between prenatal depressive symptoms, prenatal baseline RSA, 7-month infant negative affectivity and 18-month toddler internalizing problems while accounting for associations with 7-month maternal depressive symptoms. Solid lines indicate significant associations (p < .05); dashed lines indicate nonsignificant associations.

Figure 6 (χ 2 = 10.03, p = .35, CFI = 0.99, TLI = 0.97, RMSEA = .03, SRMR = .05) shows that there were no significant associations between prenatal maternal depressive symptoms and RSA reactivity to the infant cry task (β = −0.119, p = .01, CI [−0.027, 0.265]). Similar to the model with anxiety symptoms, there were also significant indirect paths from prenatal depressive symptoms to toddler internalizing problems via infant negative affectivity (β = 0.107, p = .02, CI [0.015, 0.198]), as well as from prenatal RSA reactivity to toddler internalizing problems via infant negative affectivity (β = −0.083, p = .02, CI [−0.151, −0.015]).

Figure 6. Path model depicting associations between prenatal depressive symptoms, prenatal RSA reactivity, 7-month infant negative affectivity and 18-month toddler internalizing problems while accounting for associations with 7-month maternal depressive symptoms. Solid lines indicate significant associations (p < .05); dashed lines indicate nonsignificant associations.

Discussion

The present study aimed to better understand how risk factors such as expectant mothers’ stress physiology during pregnancy and infant temperament may explain associations between prenatal anxiety symptoms and toddler internalizing problems. We find evidence of two pathways from prenatal risk factors of anxiety symptoms and stress reactivity to toddler internalizing problems via infant temperamental negative affect. Although we did not find evidence that RSA explained the link between prenatal anxiety symptoms and child outcomes, our results suggest that pregnant individuals’ trait anxiety and parasympathetic nervous system functioning may have unique consequences for child outcomes.

The role of negative affectivity in intergenerational transmission of internalizing risk

Our findings suggest that there are joint contributions of prenatal maternal anxiety symptoms and prenatal maternal RSA reactivity to the development of infant negative affectivity, which in turn lead to the development of internalizing problems at 18 months. Associations between maternal anxiety symptoms and infant negative affectivity likely reflect a combination of genetic influences, prenatal programming, as well as postnatal environmental mechanisms. Although maternal postnatal anxiety symptoms may also have cascading effects on infant negative affectivity through processes such as their responses to threat (Perlman et al., Reference Perlman, Lunkenheimer, Panlilio and Pérez-Edgar2022), we accounted for 7-month postpartum maternal anxiety symptoms in some of our models. Therefore, it is likely that there are prenatal processes contributing to associations between maternal anxiety symptoms and infant negative affectivity. Our results provide some evidence that higher levels of anxiety during the prenatal period may play a programming role in infant negative affectivity. Infant negative affectivity is a marker of increased sensitivity to the environment as it often moderates associations between environmental risk factors and children’s internalizing problems later in development (Gallagher, Reference Gallagher2002; Stright et al., Reference Stright, Gallagher and Kelley2008).

It is important to note that maternal anxiety symptoms, maternal physiological reactivity, and child negative affectivity may be due to shared experiences of environmental stressors. Maternal anxiety, in particular, may be an adaptive response that can lead to survival strategies in dangerous environments and situations (Gutiérrez-García & Contreras, Reference Gutiérrez-García and Contreras2013). Given that mechanisms linking environmental influences on fetal development are often due to exposures via the birthing parent (e.g., Hogg et al., Reference Hogg, Price, Hanna and Robinson2012), it is important to consider how prenatal maternal anxiety and stress may be the mechanism by which child negative affectivity develops. Hartman and Belsky (Reference Hartman and Belsky2018) suggest that higher prenatal maternal stress could be a response to an unpredictable or chaotic environment. Dysregulated physiological responses may serve as cues to the fetus that the postnatal environment may likewise be unpredictable. In this context, infants who are more susceptible to the postnatal environment may likewise also show more adaptation to the postnatal environment. While observational studies are limited in making conclusions around prenatal programming processes due to possible genetic associations between parent anxiety symptoms and child negative affectivity, there are animal studies that provide some evidence that prenatal stress programs offspring sensitivity to context (Hartman & Belsky, Reference Hartman and Belsky2018). Thus, it is plausible that higher levels of maternal anxiety symptoms in utero may signal to the developing fetus that there is a need to develop an increased sensitivity to a stressful environment, leading to increased negative affectivity.

Additionally, one of the novel findings in our study is that expectant mothers’ parasympathetic stress reactivity during the third trimester associated with infant negative affectivity assessed at seven months. Little work has examined how prenatal autonomic stress responses associate with infant and toddler outcomes, though some emerging work has examined how prenatal autonomic responses to an infant cry task are associated with infants’ behavioral avoidance during a still-face task (Speck et al., Reference Speck, Isenhour, Gao, Conradt, Crowell and Raby2023). Results from the present study add to the literature and show that a greater decrease in RSA from a baseline to an infant cry stimulus was associated with higher levels of infant negative affectivity. It is possible that decreases in RSA in response to stressors during the third trimester may signal to the fetus that the postnatal environment is unpredictable through possible mechanisms such as increased blood flow and/or pressure. Thus, the infant may subsequently develop higher levels of negative affectivity as a result of being more attentive to stressful stimuli in the postnatal environment. If this interpretation is accurate, our finding may provide preliminary evidence that maternal stress reactivity could play a role in programming negative affectivity as early as the prenatal period, even after accounting for trait levels of anxiety.

Postnatal maternal psychopathology and the caregiving environment may also contribute to risk for internalizing behavior in toddlers. For example, mothers whose RSA decreased to the infant cry video may be more responsive and sensitive to infant cues (Del Vecchio et al., Reference Del Vecchio, Walter and O’Leary2009; Leerkes et al., Reference Leerkes, Weaver and O’Brien2012). Specifically, Ablow and colleagues (2013) found that decreases in RSA across the infant cry task during pregnancy were linked to greater sensitivity when mothers responded to their own distressed infant postpartum. There is also some evidence that maternal sensitivity does not mediate associations between prenatal RSA and infant behaviors (Speck et al., Reference Speck, Isenhour, Gao, Conradt, Crowell and Raby2023). Given that prenatal decreases in RSA are associated with both greater maternal sensitivity as well as higher negative affectivity, it is plausible that there may be other parenting behaviors that may link greater decreases in RSA with higher infant negative affectivity. Future work should examine whether parents’ postnatal behavioral responsivity to their infants may play a role in infants’ development of negative affectivity (e.g., by conveying that infant negative affectivity will be met with prompt parental responses). If this is the case, the association between prenatal RSA responsivity and infant negative affectivity may be behaviorally mediated during the early postpartum period. While we accounted for 7-month anxiety symptoms in our models, it is also important to note the high positive association between prenatal and 7-month anxiety symptoms. Studies have found associations between higher levels of maternal anxiety and parenting behaviors associated with higher levels of child anxiety such as overprotection (e.g., Buss et al., Reference Buss, Zhou and Trainer2021). It is possible that mothers who experience elevated levels of anxiety symptoms may engage in parenting behaviors that elicit more negative affectivity in their infants.

Prenatal anxiety symptoms are not associated with child outcomes via prenatal RSA

Our findings also add to the extant literature by clarifying the link between expectant mothers’ anxiety symptoms and RSA during the third trimester. Expectant mothers with higher levels of trait anxiety had lower levels of baseline RSA, suggesting that expectant mothers with higher levels trait anxiety had poorer capacity for regulation. This is consistent with both theoretical perspectives and empirical findings that highlight lower baseline RSA as a transdiagnostic marker of poorer emotion regulation and psychopathology (Beauchaine & Thayer, Reference Beauchaine and Thayer2015). One of the strengths of the study is our oversampling of individuals with both lower and higher levels of emotion dysregulation, which underscores the relevance of our findings for individuals across a spectrum of emotion regulation capacities and anxiety levels.

Nonetheless, we did not find a significant association between prenatal anxiety symptoms and RSA reactivity to an infant cry task. This was contrary to our expectations given prior findings showing associations between anxiety symptoms and RSA reactivity to emotional stressors (Campbell & Wisco, Reference Campbell and Wisco2021), though many of these studies were conducted in nonpregnant samples. Additionally, this result was not consistent with findings from our own sample that self-reported prenatal emotion dysregulation, more broadly, is associated with prenatal RSA reactivity (Lin et al., Reference Lin, Kaliush, Conradt, Terrell, Neff, Allen, Smid, Monk and Crowell2019). Given that emotion dysregulation is a transdiagnostic marker of psychopathology and is positively associated with anxiety, we expected that we would find similar associations with RSA reactivity. It may be that there are other emotional stressors that better capture differences in anxious expectant mothers’ stress physiology. In developmental samples, there is work demonstrating that associations between RSA reactivity and internalizing symptoms are emotion-specific, such that fear- and sadness-eliciting tasks are associated with internalizing symptoms (Fortunato et al., Reference Fortunato, Gatzke-Kopp and Ram2013). Though the infant cry task is designed to be subjectively aversive and upsetting (Zeskind & Marshall, Reference Zeskind and Marshall1988) and physiologically arousing (Wiesenfeld et al., Reference Wiesenfeld, Malatesta, Whitman, Granrose and Uili1985), it may be that an infant cry task does not elicit negative emotions associated with trait anxiety. Post-hoc descriptive analyses in our sample using participants’ self-reported ratings of emotional states during the infant cry task show a range in how stressed and anxious participants were, and some participants reported increases in stress while others reported decreases. There are findings that show associations between attachment and physiological responses to an infant cry task (Ablow et al., Reference Ablow, Marks, Shirley Feldman and Huffman2013), suggesting that attachment may better explain differences in how pregnant people are responding to an infant cry stimulus. Alternatively, another avenue for future research on associations between prenatal anxiety symptoms and prenatal physiological regulation is examining the role of recovery from the infant cry stimulus. It may be that recovery from a stressor, or an individual’s ability to adapt to components of the emotional experience when the context has changed, may be a better indicator of physiological processes underlying trait anxiety during pregnancy.

Contrary to our hypotheses, we did not find an indirect path from prenatal anxiety symptoms to child outcomes via measures of prenatal RSA, suggesting that maternal anxiety symptoms are not associated with the specific child outcomes assessed at 7 and 18 months via prenatal RSA. One possible explanation for this finding is that parasympathetic measures may not best capture links between parent and child internalizing symptoms. Specifically, there is some work suggesting that trait anxiety during the third trimester of pregnancy is associated with sympathetic functioning as opposed to parasympathetic activity (Kimmel et al., Reference Kimmel, Fransson, Cunningham, Brann, Grewen, Boschiero, Chrousos, Meltzer-Brody and Skalkidou2021). Additionally, it may be that fetal programming occurs primarily through hormonal changes (e.g., increased glucocorticoids during stressful experiences) as part of hypothalamic–pituitary–adrenal axis activity (Kim et al., Reference Kim, Bale and Epperson2015) as opposed to changes in autonomic nervous system functioning. Although it is important to note that the different branches of the nervous system do not work in isolation, future research should consider sympathetic functioning and the HPA axis activity as possible mechanisms underlying how expectant mothers’ anxiety during pregnancy may be associated with child outcomes. An additional avenue for future work also includes examining how prenatal anxiety may be a predictor of different child outcomes (e.g., child parasympathetic functioning) that are indicative of internalizing risk via prenatal parasympathetic functioning.

Another possibility for the lack of indirect association from prenatal anxiety symptoms to infant negative affectivity via RSA may be that RSA serves as a moderator instead of a mediator. For example, studies have found that maternal resting RSA moderates associations between maternal traits and parenting behaviors in mothers of preschoolers (e.g., Root et al., Reference Root, Hastings and Rubin2016). Another future direction for disentangling these associations may include testing whether prenatal RSA may moderate associations between prenatal maternal traits (such as anxiety symptoms) and child outcomes. Lastly, it is important to note that associations between our constructs of interest were consistent in our models testing prenatal and 7-month anxiety symptoms as well as post-hoc models testing associations with prenatal and 7-month depressive symptoms. While we hypothesized that there may be anxiety-specific physiological processes, especially in relation to physiological arousal and stress responsivity, we did not find any evidence for this. One possibility is due to the high comorbidity and correlation between anxiety and depressive symptoms during the third trimester within our sample (r = .70, p < .01), making it difficult to test disorder specificity. Future work should continue to interrogate mechanisms underlying the contributions of maternal psychopathology to child risk to better understand specific targets for intervention during the perinatal period.

Limitations and future directions

It is important to consider the current study’s limitations to inform future directions. First, we only included information about prenatal anxiety symptoms and physiology at one timepoint during the third trimester. There is some evidence that women with an anxiety diagnosis do not show the same decrease in RSA from the first to third trimester as nonclinically diagnosed women during pregnancy (Braeken et al., Reference Braeken, Jones, Otte, Widjaja, Van Huffel, Monsieur, van Oirschot and Van den Bergh2015). Additionally, fluctuations in stress levels during pregnancy are associated with infant negative affect (MacNeill et al., Reference MacNeill, Krogh-Jespersen, Zhang, Giase, Edwards, Petitclerc, Mithal, Mestan, Grobman, Norton, Alshurafa, Moskowitz, Tandon and Wakschlag2023). The timing, type, and chronicity of prenatal exposures (such as exposure to prenatal anxiety symptoms) could alter fetal development in different ways. While studies have often found high correlations among repeated measures of anxiety symptoms across different trimesters (e.g., Davis et al., Reference Davis, Glynn, Schetter, Hobel, Chicz-Demet and Sandman2007), there are also studies that have identified different trajectories of prenatal anxiety symptoms (Irwin et al., Reference Irwin, Davis, Hobel, Coussons-Read and Schetter2020). However, there is some support for the importance of physiological processes during the third trimester and infant temperament. Davis et al. (Reference Davis, Glynn, Schetter, Hobel, Chicz-Demet and Sandman2007) found that prenatal cortisol during the third trimester, but not earlier, was predictive of infant negative reactivity. Our findings may reflect a similar association emerging between physiology during the third trimester and infant negative affectivity. Future research should examine how patterns of anxiety symptoms and physiology across the prenatal period may be associated with both infant negative affectivity and toddler internalizing problems to elucidate the importance of timing of stress exposure during pregnancy.

It Is also important to note that our measures of prenatal anxiety symptoms, infant negative affectivity, and toddler internalizing problems were all based on maternal reports. Thus, future research would benefit from using observational measures and/or reports of child outcomes using other informants to account for common method variance. Additionally, researchers have found evidence of associations between prenatal anxiety symptoms and postpartum parenting stress (Huizink et al., Reference Huizink, Menting, De Moor, Verhage, Kunseler, Schuengel and Oosterman2017), suggesting that postpartum parenting stress may also be a possible pathway by which prenatal maternal anxiety symptoms are associated with infant and toddler outcomes related to toddler internalizing problems. Future work should also consider how expectant mothers’ prenatal anxiety symptoms, or other forms of psychopathology, may be associated with postpartum parenting behaviors to increase risk for their children’s development of internalizing problems.

Another future direction involves considering nonlinear associations between maternal anxiety symptoms, physiology, and child outcomes, and examining change in RSA during longer stressors. One way to do this involves utilizing alternate modeling approaches to characterize physiological reactivity: for example, researchers could model dynamic fluctuations and nonlinear change in physiological regulation on a smaller timescale with larger sample sizes. Relatedly, while the one-minute assessment of the infant cry task is standard (Ablow et al., Reference Ablow, Marks, Shirley Feldman and Huffman2013), future work could consider less intense cry bouts that last longer than 60 s, so as to not be too burdensome to participants. Our findings may also have some limitations in generalization given our sample demographics. Future work should examine these associations in more diverse samples or in relation to related contextual processes (e.g., considering how racism/discrimination may contribute to prenatal anxiety symptoms or stress). Lastly, our study suggests that infant negative affect may be an important pathway from maternal psychopathology to future child socioemotional outcomes. These results warrant further exploration with other aspects of maternal psychopathology.

Conclusions

Results from the present study filled two major gaps in the literature: (1) how anxiety symptoms and RSA (i.e., parasympathetic functioning) are associated during the prenatal period, and (2) how prenatal risk factors are indirectly associated with toddler internalizing problems via infant negative affect. We found evidence for two pathways by which prenatal risk was associated with toddler internalizing problems via infant negative affect. Our findings further the extant literature on possible prenatal mechanisms underlying the intergenerational transmission of internalizing problems and highlight possible targets for early prevention and intervention efforts such as reducing prenatal anxiety symptoms and stress.

References

Ablow, J. C., Marks, A. K., Shirley Feldman, S., & Huffman, L. C. (2013). Associations between first-time expectant women’s representations of attachment and their physiological reactivity to infant cry. Child Development, 84(4), 13731391. https://doi.org/10.1111/cdev.12135 CrossRefGoogle ScholarPubMed
Ahmadzadeh, Y. I., Eley, T. C., Leve, L. D., Shaw, D. S., Natsuaki, M. N., Reiss, D., Neiderhiser, J. M., & McAdams, T. A. (2019). Anxiety in the family: A genetically informed analysis of transactional associations between mother, father and child anxiety symptoms. Journal of Child Psychology and Psychiatry, 60(12), 12691277. https://doi.org/10.1111/jcpp.13068 CrossRefGoogle Scholar
Araji, S., Griffin, A., Dixon, L., Spencer, S.-K., Peavie, C., & Wallace, K. (2020). An overview of maternal anxiety during pregnancy and the post-partum period. Journal of Mental Health & Clinical Psychology, 4(4), 4756. https://doi.org/10.29245/2578-2959/2020/4.1221 Google Scholar
Barker, E. D., Jaffee, S. R., Uher, R., & Maughan, B. (2011). The contribution of prenatal and postnatal maternal anxiety and depression to child maladjustment. Depression and Anxiety, 28(8), 696702. https://doi.org/10.1002/da.20856 CrossRefGoogle ScholarPubMed
Barr, R. G., Fairbrother, N., Pauwels, J., Green, J., Chen, M., & Brant, R. (2014). Maternal frustration, emotional and behavioural responses to prolonged infant crying. Infant Behavior and Development, 37(4), 652664.10.1016/j.infbeh.2014.08.012CrossRefGoogle ScholarPubMed
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. https://doi.org/10.1017/S0954579401002012 CrossRefGoogle ScholarPubMed
Beauchaine, T. P., & Thayer, J. F. (2015). Heart rate variability as a transdiagnostic biomarker of psychopathology. International Journal of Psychophysiology, 98(2), 338350. https://doi.org/10.1016/j.ijpsycho.2015.08.004 CrossRefGoogle ScholarPubMed
Berntson, G. G., Quigley, K. S., Jang, J. F., & Boysen, S. T. (1990). An approach to artifact identification: Application to heart period data. Psychophysiology, 27(5), 586598. https://doi.org/10.1111/j.1469-8986.1990.tb01982.x CrossRefGoogle ScholarPubMed
Berntson, G. G., Thomas Bigger, J. Jr, Eckberg, D. L., Grossman, P., Kaufmann, P. G., Malik, M., Nagaraja, H. N., Porges, S. W., Saul, J. P., Stone, P. H., & Van Der Molen, M. W. (1997). Heart rate variability: Origins, methods, and interpretive caveats. Psychophysiology, 34(6), 623648.10.1111/j.1469-8986.1997.tb02140.xCrossRefGoogle ScholarPubMed
Braeken, M. A. K. A., Jones, A., Otte, R. A., Widjaja, D., Van Huffel, S., Monsieur, G. J. Y. J., van Oirschot, C. M., & Van den Bergh, B. R. H. (2015). Anxious women do not show the expected decrease in cardiovascular stress responsiveness as pregnancy advances. Biological Psychology, 111, 8389. https://doi.org/10.1016/j.biopsycho.2015.08.007 CrossRefGoogle Scholar
Burt, K. B., & Obradović, J. (2013). The construct of psychophysiological reactivity: Statistical and psychometric issues. Developmental Review, 33(1), 2957. https://doi.org/10.1016/j.dr.2012.10.002 CrossRefGoogle Scholar
Buss, K. A., Zhou, A. M., & Trainer, A. (2021). Bidirectional effects of toddler temperament and maternal overprotection on maternal and child anxiety symptoms across preschool. Depression and Anxiety, 38(12), 12011210. https://doi.org/10.1002/da.23199 CrossRefGoogle ScholarPubMed
Campbell, A. A., & Wisco, B. E. (2021). Respiratory sinus arrhythmia reactivity in anxiety and posttraumatic stress disorder: A review of literature. Clinical Psychology Review, 87, 102034. https://doi.org/10.1016/j.cpr.2021.102034 CrossRefGoogle ScholarPubMed
Carter, A. S., Briggs-Gowan, M. J., Jones, S., & Little, T. D. (2003). The infant-toddler social and emotional assessment (ITSEA): Factor structure, reliability, and validity. Journal of Abnormal Child Psychology, 31(5), 495514.10.1023/A:1025449031360CrossRefGoogle ScholarPubMed
Clark, L. A., & Watson, D. (1991). Tripartite model of anxiety and depression: Psychometric evidence and taxonomic implications. Journal of Abnormal Psychology, 100(3), 316336. https://doi.org/10.1037/0021-843X.100.3.316 CrossRefGoogle ScholarPubMed
Davis, E. P., Glynn, L. M., Schetter, C. D., Hobel, C., Chicz-Demet, A., & Sandman, C. A. (2007). Prenatal exposure to maternal depression and cortisol influences infant temperament. Journal of the American Academy of Child and Adolescent Psychiatry, 46(6), 737746. https://doi.org/10.1097/chi.0b013e318047b775 CrossRefGoogle ScholarPubMed
Del Giudice, M. (2012). Fetal programming by maternal stress: Insights from a conflict perspective. Psychoneuroendocrinology, 37(10), 16141629. https://doi.org/10.1016/j.psyneuen.2012.05.014 CrossRefGoogle ScholarPubMed
Del Giudice, M., Ellis, B. J., & Shirtcliff, E. A. (2011). The adaptive calibration model of stress responsivity. Neuroscience & Biobehavioral Reviews, 35(7), 15621592. https://doi.org/10.1016/j.neubiorev.2010.11.007 CrossRefGoogle ScholarPubMed
Del Vecchio, T., Walter, A., & O’Leary, S. G. (2009). Affective and physiological factors predicting maternal response to infant crying. Infant Behavior and Development, 32(1), 117122. https://doi.org/10.1016/j.infbeh.2008.10.005 CrossRefGoogle ScholarPubMed
Eley, T. C., McAdams, T. A., Rijsdijk, F. V., Lichtenstein, P., Narusyte, J., Reiss, D., Spotts, E. L., Ganiban, J. M., & Neiderhiser, J. M. (2015). The intergenerational transmission of anxiety: A children-of-twins study. American Journal of Psychiatry, 172(7), 630637. https://doi.org/10.1176/appi.ajp.2015.14070818 CrossRefGoogle ScholarPubMed
Enders, C. K. (2001). The performance of the full information maximum likelihood estimator in multiple regression models with missing data. Educational and Psychological Measurement, 61(5), 713740.10.1177/0013164401615001CrossRefGoogle Scholar
Field, T. (2017). Prenatal anxiety effects: A review. Infant Behavior and Development, 49, 120128. https://doi.org/10.1016/j.infbeh.2017.08.008 CrossRefGoogle ScholarPubMed
Fisher, A. J., & Newman, M. G. (2013). Heart rate and autonomic response to stress after experimental induction of worry versus relaxation in health, high-worry, and generalized anxiety diosrder individuals. Biological Psychology, 93(1), 6574. https://doi.org/10.1016/j.biopsycho.2013.01.012 CrossRefGoogle Scholar
Fortunato, C. K., Gatzke-Kopp, L. M., & Ram, N. (2013). Associations between respiratory sinus arrhythmia reactivity and internalizing and externalizing symptoms are emotion specific. Cognitive, Affective, & Behavioral Neuroscience, 13(2), 238251. https://doi.org/10.3758/s13415-012-0136-4 CrossRefGoogle ScholarPubMed
Foss, S., So, R. P., Petty, C. R., Waber, D. P., Wright, R. J., & Bosquet Enlow, M. (2022). Effects of maternal and child lifetime traumatic stress exposures, infant temperament, and caregiving quality on preschoolers’ executive functioning. Developmental Neuropsychology, 47(7), 327352. https://doi.org/10.1080/87565641.2022.2147180 CrossRefGoogle ScholarPubMed
Fu, Q., & Levine, B. D. (2009). Autonomic circulatory control during pregnancy in humans. Seminars in Reproductive Medicine, 27(4), 330337. https://doi.org/10.1055/s-0029-1225261 CrossRefGoogle ScholarPubMed
Gallagher, K. C. (2002). Does child temperament moderate the influence of parenting on adjustment? Developmental Review, 22(4), 623643. https://doi.org/10.1016/S0273-2297(02)00503-8 CrossRefGoogle Scholar
Gartstein, M. A., & Marmion, J. (2008). Fear and positive affectivity in infancy: Convergence/discrepancy between parent-report and laboratory-based indicators. Infant Behavior and Development, 31(2), 227238. https://doi.org/10.1016/j.infbeh.2007.10.012 CrossRefGoogle ScholarPubMed
Gartstein, M. A., & Rothbart, M. K. (2003). Studying infant temperament via the revised infant behavior questionnaire. Infant Behavior and Development, 26(1), 6486. https://doi.org/10.1016/S0163-6383(02)00169-8 CrossRefGoogle Scholar
Gentile, S. (2010). Neurodevelopmental effects of prenatal exposure to psychotropic medications. Depression and Anxiety, 27(7), 675686. https://doi.org/10.1002/da.20706 CrossRefGoogle ScholarPubMed
Goldsmith, H. H., & Campos, J. J. (1990). The structure of temperamental fear and pleasure in infants: A psychometric perspective. Child Development, 61(1), 19441964. https://doi.org/10.1111/j.1467-8624.1990.tb03577.x CrossRefGoogle ScholarPubMed
Goodman, S. H., & Gotlib, I. H. (1999). Risk for psychopathology in the children of depressed mothers: A developmental model for understanding mechanisms of transmission. Psychological Review, 106(3), 458490. https://doi.org/10.1037/0033-295X.106.3.458 CrossRefGoogle ScholarPubMed
Graham, J. W. (2012). Missing data. Springer New York. https://doi.org/10.1007/978-1-4614-4018-5 CrossRefGoogle Scholar
Gratz, K. L., & Roemer, L. (2004). Multidimensional assessment of emotion regulation and dysregulation: Development, factor structure, and initial validation of the difficulties in emotion regulation scale. Journal of Psychopathology and Behavioral Assessment, 26(1), 4154. https://doi.org/10.1023/B:JOBA.0000007455.08539.94 CrossRefGoogle Scholar
Gutiérrez-García, A. G., & Contreras, C. M. (2013), Anxiety: an adaptive emotion. (pp. 2137). New insights into anxiety disorders.Google Scholar
Hammel, J. C., Smitherman, T. A., McGlynn, F. D., Mulfinger, A. M., Lazarte, A. A., & Gothard, K. D. (2011). Vagal influence during worry and cognitive challenge. Anxiety, Stress, and Coping, 24(2), 121136. https://doi.org/10.1080/10615806.2010.490912 CrossRefGoogle ScholarPubMed
Hartman, S., & Belsky, J. (2018). Prenatal programming of postnatal plasticity revisited—And extended. Development and Psychopathology, 30(3), 825842. https://doi.org/10.1017/S0954579418000548 CrossRefGoogle ScholarPubMed
Hentges, R. F., Graham, S. A., Plamondon, A., Tough, S., & Madigan, S. (2019). A developmental cascade from prenatal stress to child internalizing and externalizing problems. Journal of Pediatric Psychology, 44(9), 10571067. https://doi.org/10.1093/jpepsy/jsz044 CrossRefGoogle ScholarPubMed
Hogg, K., Price, E. M., Hanna, C. W., & Robinson, W. P. (2012). Prenatal and perinatal environmental influences on the human fetal and placental epigenome. Clinical Pharmacology & Therapeutics, 92(6), 716726.10.1038/clpt.2012.141CrossRefGoogle ScholarPubMed
Huizink, A. C., Menting, B., De Moor, M. H. M., Verhage, M. L., Kunseler, F. C., Schuengel, C., & Oosterman, M. (2017). From prenatal anxiety to parenting stress: A longitudinal study. Archives of Women’s Mental Health, 20(5), 663672. https://doi.org/10.1007/s00737-017-0746-5 CrossRefGoogle ScholarPubMed
Irwin, J. L., Davis, E. P., Hobel, C. J., Coussons-Read, M., & Schetter, C. D. (2020). Maternal prenatal anxiety trajectories and infant developmental outcomes in one-year-old offspring. Infant Behavior and Development, 60, 101468. https://doi.org/10.1016/j.infbeh.2020.101468 CrossRefGoogle ScholarPubMed
Jönsson, P. (2007). Respiratory sinus arrhythmia as a function of state anxiety in healthy individuals. International Journal of Psychophysiology, 63(1), 4854–54. https://doi.org/10.1016/j.ijpsycho.2006.08.002 CrossRefGoogle ScholarPubMed
Kemp, A. H., Brunoni, A. R., Santos, I. S., Nunes, M. A., Dantas, E. M., Carvalho de Figueiredo, R., Pereira, A. C., Ribeiro, A. L. P., Mill, J. G., Andreão, R. V., Thayer, J. F., Benseñor, I. M., & Lotufo, P. A. (2014). Effects of depression, anxiety, comorbidity, and antidepressants on resting-state heart rate and its variability: An ELSA-Brasil cohort baseline study. American Journal of Psychiatry, 171(12), 13281334. https://doi.org/10.1176/appi.ajp.2014.13121605 CrossRefGoogle ScholarPubMed
Kim, D. R., Bale, T. L., & Epperson, C. N. (2015). Prenatal programming of mental illness: Current understanding of relationship and mechanisms. Current Psychiatry Reports, 17(2), 5–1. https://doi.org/10.1007/s11920-014-0546-9 CrossRefGoogle ScholarPubMed
Kimmel, M. C., Fransson, E., Cunningham, J. L., Brann, E., Grewen, K., Boschiero, D., Chrousos, G. P., Meltzer-Brody, S., & Skalkidou, A. (2021). Heart rate variability in late pregnancy: Exploration of distinctive patterns in relation to maternal mental health. Translational Psychiatry, 11(1), 286. https://doi.org/10.1038/s41398-021-01401-y CrossRefGoogle ScholarPubMed
Klein, D. N., Dyson, M. W., Kujawa, A. J., & Kotov, R. (2012). Temperament and internalizing disorders. In Zentner, M., & Shiner, R. L. (Ed.), Handbook of temperament (pp. 541561). Guilford Publications.Google Scholar
Korja, R., Nolvi, S., Grant, K. A., & McMahon, C. (2017). The relations between maternal prenatal anxiety or stress and child’s early negative reactivity or self-regulation: A systematic review. Child Psychiatry & Human Development, 48(6), 851869. https://doi.org/10.1007/s10578-017-0709-0 CrossRefGoogle ScholarPubMed
Leerkes, E., Sommers, S., & Bailes, L. (2022). The validity of prenatal assessments of mothers’ emotional, cognitive, and physiological reactions to infant cry. Parenting, 22(4), 286314. https://doi.org/10.1080/15295192.2021.1975122 CrossRefGoogle ScholarPubMed
Leerkes, E. M., Weaver, J. M., & O’Brien, M. (2012). Differentiating maternal sensitivity to infant distress and non-distress. Parenting, 12(2-3), 175. https://doi.org/10.1080/15295192.2012.683353 CrossRefGoogle ScholarPubMed
Lester, B. M., Conradt, E., & Marsit, C. J. (2014). Are epigenetic changes in the intrauterine environment related to newborn neurobehavior? Epigenomics, 6(2), 175178.10.2217/epi.14.9CrossRefGoogle ScholarPubMed
Lewinsohn, P. M., Seeley, J. R., Roberts, R. E., & Allen, N. B. (1997). Center for Epidemiologic Studies Depression Scale (CES-D) as a screening instrument for depression among community-residing older adults. Psychology and aging, 12(2), 277.10.1037/0882-7974.12.2.277CrossRefGoogle ScholarPubMed
Lin, B., Kaliush, P. R., Conradt, E., Terrell, S., Neff, D., Allen, A. K., Smid, M. C., Monk, C., & Crowell, S. E. (2019). Intergenerational transmission of emotion dysregulation: Part I. Psychopathology, self-injury, and parasympathetic responsivity among pregnant women. Development and Psychopathology, 31(3), 817831. https://doi.org/10.1017/S0954579419000336 CrossRefGoogle ScholarPubMed
MacNeill, L. A., Krogh-Jespersen, S., Zhang, Y., Giase, G., Edwards, R., Petitclerc, A., Mithal, L. B., Mestan, K., Grobman, W. A., Norton, E. S., Alshurafa, N., Moskowitz, J. T., Tandon, S. D., & Wakschlag, L. S. (2023). Lability of prenatal stress during the COVID-19 pandemic links to negative affect in infancy. Infancy, 28(1), 136157. https://doi.org/10.1111/infa.12499 CrossRefGoogle ScholarPubMed
Mizuno, T., Tamakoshi, K., & Tanabe, K. (2017). Anxiety during pregnancy and autonomic nervous system activity: A longitudinal observational and cross-sectional study. Journal of Psychosomatic Research, 99, 105111. https://doi.org/10.1016/j.jpsychores.2017.06.006 CrossRefGoogle ScholarPubMed
O’Connor, T. G., Heron, J., Golding, J., Glover, V., & the AL SPAC Study Team (2003). Maternal antenatal anxiety and behavioural/emotional problems in children: A test of a programming hypothesis. Journal of Child Psychology and Psychiatry, 44(7), 10251036. https://doi.org/10.1111/1469-7610.00187 CrossRefGoogle ScholarPubMed
O’Regan, C., Kenny, R. A., Cronin, H., Finucane, C., & Kearney, P. M. (2015). Antidepressants strongly influence the relationship between depression and heart rate variability: Findings from the Irish longitudinal study on ageing (TILDA). Psychological Medicine, 45(3), 623636. https://doi.org/10.1017/S0033291714001767 CrossRefGoogle ScholarPubMed
Ortega-Villalobos, M., García-Bazán, M., Solano-Flores, L. P., Ninomiya-Alarcón, J. G., Guevara-Guzmán, R., & Wayner, M. J. (1990). Vagus nerve afferent and efferent innervation of the rat uterus: An eletrophysiological and HRP study. Brain Research Bulletin, 25(3), 365371. https://doi.org/10.1016/0361-9230(90)90221-K CrossRefGoogle Scholar
Ostlund, B. D., Vlisides-Henry, R. D., Crowell, S. E., Raby, K. L., Terrell, S., Brown, M. A., Tinajero, R., Shakiba, N., Monk, C., Shakib, J. H., Buchi, K. F., & Conradt, E. (2019). Intergenerational transmission of emotion dysregulation: Part II. Developmental origins of newborn neurobehavior. Development and Psychopathology, 31(3), 833846. doi:10.1017/S0954579419000440 CrossRefGoogle ScholarPubMed
Parade, S. H., & Leerkes, E. M. (2008). The reliability and validity of the infant behavior questionnaire-revised. Infant Behavior and Development, 31(4), 637646. https://doi.org/10.1016/j.infbeh.2008.07.009 CrossRefGoogle ScholarPubMed
Perlman, S. B., Lunkenheimer, E., Panlilio, C., & Pérez-Edgar, K. (2022). Parent-to-child anxiety transmission through dyadic social dynamics: A dynamic developmental model. Clinical Child and Family Psychology Review, 25(1), 110129. https://doi.org/10.1007/s10567-022-00391-7 CrossRefGoogle ScholarPubMed
Root, A. E., Hastings, P. D., & Rubin, K. H. (2016). The parenting behaviors of shy–anxious mothers: The moderating role of vagal tone. Journal of Child and Family Studies, 25, 13251333. https://doi.org/10.1007/s10826-015-0296-2 CrossRefGoogle Scholar
Rosseel, Y. (2012). Lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2), 136. https://doi.org/10.18637/jss.v048.i02 CrossRefGoogle Scholar
Rothbart, M. K., & Bates, J. E. (2006). Temperament. In Eisenberg, N. (Ed.), Handbook of child psychology. (vol. 3, 6th ed. pp. 99166). John Wiley & Sons.Google Scholar
Schlotz, W., & Phillips, D. I. W. (2009). Fetal origins of mental health: Evidence and mechanisms. Brain, Behavior, and Immunity, 23(7), 905916.10.1016/j.bbi.2009.02.001CrossRefGoogle ScholarPubMed
Shiner, R. L., Buss, K. A., McClowry, S. G., Putnam, S. P., Saudino, K. J., & Zentner, M. (2012). What is temperament now? Assessing progress in temperament research on the twenty-fifth anniversary of, Goldsmith, etal. Child Development Perspectives, 6(4), 436444. https://doi.org/10.1111/j.1750-8606.2012.00254.x CrossRefGoogle Scholar
Speck, B., Isenhour, J., Gao, M. M., Conradt, E., Crowell, S. E., & Raby, K. L. (2023). Pregnant women’s autonomic responses to an infant cry predict young infants’ behavioral avoidance during the still-face paradigm. Developmental Psychology, 59(12), 22372247. https://doi.org/10.1037/dev0001632 CrossRefGoogle Scholar
Spielberger, C. D., Gorsuch, R. L., Lushene, R., Vagg, P. R., & Jacobs, G. A. (1983). Manual for the state-trait anxiety inventory. Consulting Psychologists Press.Google Scholar
Sterba, S. K., Prinstein, M. J., & Cox, M. J. (2007). Trajectories of internalizing problems across childhood: Heterogeneity, external validity, and gender differences. Development and Psychopathology, 19(02), 345366. https://doi.org/10.1017/S0954579407070174 CrossRefGoogle ScholarPubMed
Stright, A. D., Gallagher, K. C., & Kelley, K. (2008). Infant temperament moderates relations between maternal parenting in early childhood and children’s adjustment in first grade. Child Development, 79(1), 186200. https://doi.org/10.1111/j.1467-8624.2007.01119.x CrossRefGoogle ScholarPubMed
Thayer, J. F., Friedman, B. H., & Borkovec, T. D. (1996). Autonomic characteristics of generalized anxiety disorder and worry. Biological Psychiatry, 39(4), 255266. https://doi.org/10.1016/0006-3223(95)00136-0 CrossRefGoogle Scholar
Werner, E. A., Myers, M. M., Fifer, W. P., Cheng, B., Fang, Y., Allen, R., & Monk, C. (2007). Prenatal predictors of infant temperament. Developmental Psychobiology, 49(5), 474484. https://doi.org/10.1002/dev.20232 CrossRefGoogle ScholarPubMed
Wiesenfeld, A. R., Malatesta, C. Z., Whitman, P. B., Granrose, C., & Uili, R. (1985). Psychophysiological response of breast‐and bottle‐feeding mothers to their infants’ signals. Psychophysiology, 22(1), 7986. https://doi.org/10.1111/j.1469-8986.1985.tb01563.x CrossRefGoogle ScholarPubMed
Zeskind, P. S., & Marshall, T. R. (1988). The relation between variations in pitch and maternal perceptions of infant crying. Child Development, 59(1), 193196. https://doi.org/10.2307/1130401 CrossRefGoogle Scholar
Figure 0

Table 1. Sample demographics (N = 162)

Figure 1

Table 2. Means, standard deviations, and correlations with confidence intervals

Figure 2

Figure 1. Path model depicting associations between prenatal anxiety symptoms, prenatal baseline RSA, 7-month infant negative affectivity and 18-month toddler internalizing problems. Solid lines indicate significant associations (p < .05); dashed lines indicate nonsignificant associations.

Figure 3

Figure 2. Path model depicting associations between prenatal anxiety symptoms, prenatal RSA reactivity to an infant cry task, 7-month infant negative affectivity and 18-month toddler internalizing problems. Solid lines indicate significant associations (p < .05); dashed lines indicate nonsignificant associations.

Figure 4

Figure 3. Path model depicting associations between prenatal anxiety symptoms, prenatal baseline RSA, 7-month infant negative affectivity and 18-month toddler internalizing problems while accounting for associations with 7-month maternal anxiety symptoms. Solid lines indicate significant associations (p < .05); dashed lines indicate nonsignificant associations.

Figure 5

Figure 4. Path model depicting associations between prenatal anxiety symptoms, prenatal RSA reactivity to an infant cry task, 7-month infant negative affectivity and 18-month toddler internalizing problems while accounting for associations with 7-month maternal anxiety symptoms. Solid lines indicate significant associations (p < .05); dashed lines indicate nonsignificant associations.

Figure 6

Figure 5. Path model depicting associations between prenatal depressive symptoms, prenatal baseline RSA, 7-month infant negative affectivity and 18-month toddler internalizing problems while accounting for associations with 7-month maternal depressive symptoms. Solid lines indicate significant associations (p < .05); dashed lines indicate nonsignificant associations.

Figure 7

Figure 6. Path model depicting associations between prenatal depressive symptoms, prenatal RSA reactivity, 7-month infant negative affectivity and 18-month toddler internalizing problems while accounting for associations with 7-month maternal depressive symptoms. Solid lines indicate significant associations (p < .05); dashed lines indicate nonsignificant associations.