Hostname: page-component-78c5997874-xbtfd Total loading time: 0 Render date: 2024-11-13T00:57:16.923Z Has data issue: false hasContentIssue false

Public health nurse-delivered cognitive behavioral therapy for postpartum depression: Assessing the effects of maternal treatment on infant emotion regulation

Published online by Cambridge University Press:  26 January 2024

Bahar Amani*
Affiliation:
Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada
John E. Krzeczkowski
Affiliation:
Department of Psychology, York University, Toronto, ON, Canada
Louis A. Schmidt
Affiliation:
Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada
Ryan J. Van Lieshout
Affiliation:
Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
*
Corresponding author: B. Amani; Email: amanib@mcmaster.ca
Rights & Permissions [Opens in a new window]

Abstract

The effects of maternal postpartum depression (PPD) on offspring emotion regulation (ER) are particularly deleterious as difficulties with ER predict an increased risk of psychopathology. This study examined the impact of maternal participation in a public health nurse (PHN)-delivered group cognitive behavioral therapy (CBT) intervention on infant ER. Mothers/birthing parents were ≥ 18 years old with an Edinburgh Postnatal Depression Scale (EPDS) score ≥ 10, and infants were < 12 months. Between 2017 and 2020, 141 mother–infant dyads were randomized to experimental or control groups. Infant ER was measured at baseline (T1) and nine weeks later (T2) using two neurophysiological measures (frontal alpha asymmetry (FAA) and high-frequency heart rate variability (HF-HRV)), and informant-report of infant temperament. Mothers were a mean of 30.8 years old (SD = 4.7), 92.3% were married/ common-law, and infants were a mean of 5.4 months old (SD = 2.9) and 52.1% were male. A statistically significant group-by-time interaction was found to predict change in HF-HRV between T1 and T2 (F(1,68.3) = 4.04, p = .04), but no significant interaction predicted change in FAA or temperament. Results suggest that PHN-delivered group CBT for PPD may lead to adaptive changes in a neurophysiological marker of infant ER, highlighting the importance of early maternal intervention.

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

Introduction

Postpartum depression (PPD) is a major public health problem that can have long-term adverse effects on mothers and birthing parents, and their infants (Gaynes et al., Reference Gaynes, Gavin, Meltzer-Brody, Lohr, Swinson, Gartlehner, Brody and Miller2005; Heim & Binder, Reference Heim and Binder2012; Kingston et al., Reference Kingston, Tough and Whitfield2012; Tronick & Reck, Reference Tronick and Reck2009). One in five mothers and birthing parents will develop PPD (Gaynes et al., Reference Gaynes, Gavin, Meltzer-Brody, Lohr, Swinson, Gartlehner, Brody and Miller2005) while up to one in three experience elevated levels of symptoms that do not exceed diagnostic thresholds for a diagnosis of major depressive disorder (MDD; Meaney, Reference Meaney2018). Mothers/birthing parents with PPD can experience significant suffering in the short and longer-term if PPD remains untreated. PPD may lead to persistent major depression (Horowitz & Goodman, Reference Horowitz and Goodman2004), elevated rates of substance misuse (Chapman & Wu, Reference Chapman and Wu2013), and problems in their relationships (Goodman, Reference Goodman2004). Intervening early can play an important role in improving these outcomes.

Left untreated, PPD costs $125,000 (CAD; Bauer et al., Reference Bauer, Knapp and Adelaja2016) over the life span, 72% of which is due to emotional, behavioral, and/or cognitive problems in offspring (Bauer et al., Reference Bauer, Knapp and Adelaja2016; Goodman et al., Reference Goodman, Rouse, Connell, Broth, Hall and Heyward2011; Slomian et al., Reference Slomian, Honvo, Emonts, Reginster and Bruyère2019). The effects of PPD on offspring emotion regulation (ER) may be particularly deleterious as difficulties with ER predict an increased risk of most forms of psychopathology, as well as sub-optimal educational and labor market outcomes (Calkins et al., Reference Calkins, Dollar and Wideman2019; Moffitt et al., Reference Moffitt, Arseneault, Belsky, Dickson, Hancox, Harrington and Caspi2011; Panari et al., Reference Panari, Tonelli and Mazzetti2020; Shannon et al., Reference Shannon, Beauchaine, Brenner, Neuhaus and Gatzke-Kopp2007).

In the first year of life, infants are yet to develop the higher-order cortical processes that govern ER and as a result, rely on their caregivers to regulate their emotions (Porges & Furman, Reference Porges and Furman2011). It is not until the second year of life where maturation of ER systems allows toddlers to actively regulate their own emotional states (Calkins & Hill, Reference Calkins and Hill2007). Exposure to PPD negatively influences early postnatal interactions with mothers, which is believed to disrupt optimal ER development, and ultimately have a programming effect on the sensitive neuronal circuits that rapidly develop during the early postnatal period (Van den Bergh, Reference Van den Bergh2011). There is evidence that infants as young as three to six months old, exhibit deficits in ER capacity measured with behavioral and neurophysiological markers as a result of PPD exposure (Field et al., 1988, 1995).

The autonomic nervous system (ANS; Porges, Reference Porges2007; Thayer et al., Reference Thayer, Hansen, Saus-Rose and Johnsen2009) and corticolimbic circuits in the brain (Field et al., Reference Field, Diego, Hernandez-Reif, Schanberg, Kuhn, Yando and Bendell2002; Fox, Reference Fox1991; Lusby et al., Reference Lusby, Goodman, Bell and Newport2014, Reference Lusby, Goodman, Yeung, Bell and Stowe2016) are key systems involved in the development of ER, and measures of their activity are robust indicators of emotion regulatory capacity. High-frequency heart rate variability (HF-HRV) is a measure of the flexibility of the ANS to adapt to environmental conditions (Propper & Moore, Reference Propper and Moore2006), while frontal alpha asymmetry (FAA) indexes the relative activation of the left versus right frontal regions of the brain. Both HF-HRV and FAA can be used to measure ER capacity in preverbal infants and are among the earliest markers (Field et al., Reference Field, Diego, Hernandez-Reif, Schanberg, Kuhn, Yando and Bendell2002; Fox, Reference Fox1991; Lusby et al., Reference Lusby, Goodman, Bell and Newport2014, Reference Lusby, Goodman, Yeung, Bell and Stowe2016; Porges, Reference Porges2007; Thayer et al., Reference Thayer, Hansen, Saus-Rose and Johnsen2009). Infants exposed to PPD tend to exhibit lower HRV and greater right FAA at rest, both of which are indicative of ER capacity and an increased risk of psychiatric problems (Bornstein and Suess, Reference Bornstein and Suess2000; Coan & Allen, Reference Coan and Allen2004; Mason, Reference Mason1975; Thayer & Brosschot, Reference Thayer and Brosschot2005).

Parent reports are a commonly used method of measuring infant temperament as they are easy to collect, cost-effective, and less time-consuming than collecting non-parental informant-reports. Temperament provides a measure of an infant’s innate disposition to reacting behaviorally and emotionally to stimuli and represents stable, trait-related differences in regulatory capacity (Rothbart, Reference Rothbart2007). The Infant Behavior Questionnaire-Revised (IBQ-R) Very Short-Form is a widely used and validated informant-report measure of infant regulatory temperament (Putnam et al., Reference Putnam, Helbig, Gartstein, Rothbart and L.2014). In particular, the orienting/ regulatory capacity domain of the is a reliable indicator of infant ER capacity and has been used in studies of maternal PPD interventions to measure infant ER (Krzeczkowski et al., Reference Krzeczkowski, Schmidt and Van Lieshout2021; Putnam et al., Reference Putnam, Rothbart and Gartstein2008). Given the influence that maternal mood can have on parental reports of infant ER, we complemented this method of assessing ER capacity with two physiological measures (HF-HRV and FAA).

Even though the long-term adverse effects of PPD and its impact on ER capacity in infants is well known, just 15% of mothers and birthing parents in developed countries will receive evidence-based treatment for PPD (Ko et al., Reference Ko, Farr, Dietz and Robbins2012). Numerous barriers to care for mothers/birthing parents with PPD exist including a lack of affordable and preferred treatment options (e.g., psychotherapy) and long waitlists (Goodman, Reference Goodman2009; Jones, Reference Jones2019). Task-shifting the treatment of PPD from specialized experts to those with less psychiatric training (e.g., public health nurses; PHNs) is one means through which treatment access can be improved (e.g., Van Lieshout et al., Reference Van Lieshout, Layton, Savoy, Haber, Feller, Biscaro, Bieling and Ferro2022). While some evidence suggests that PHNs can deliver effective individual interpersonal psychotherapy (IPT; Dennis et al., Reference Dennis, Grigoriadis, Zupancic, Kiss and Ravitz2020) and group cognitive behavioral therapy (CBT) for PPD (Van Lieshout et al., Reference Van Lieshout, Layton, Feller, Ferro, Biscaro and Bieling2020), it is not clear if such interventions can have a positive effect on infant ER capacity.

To date, just four studies have examined the impact of treating maternal PPD on infant ER capacity (Amani et al., Reference Amani, Krzeczkowski, Savoy, Schmidt and Van Lieshout2023; Cohen et al., Reference Cohen, Lojkasek, Muir, Muir and Parker2002; Krzeczkowski et al., Reference Krzeczkowski, Schmidt and Van Lieshout2021; Stein et al., Reference Stein, Netsi, Lawrence, Granger, Kempton, Craske, Nickless, Mollison, Stewart, Rapa, West, Scerif, Cooper and Murray2018). Three of these studies used an experimental design (e.g., randomized controlled trials (RCTs); Amani et al., Reference Amani, Krzeczkowski, Savoy, Schmidt and Van Lieshout2023; Cohen et al., Reference Cohen, Lojkasek, Muir, Muir and Parker2002; Stein et al., Reference Stein, Netsi, Lawrence, Granger, Kempton, Craske, Nickless, Mollison, Stewart, Rapa, West, Scerif, Cooper and Murray2018) and found evidence to suggest that maternal treatment for PPD may have a positive influence on infant ER capacity. However, in Cohen and colleagues (2002) and Stein and colleagues (2018) work, maternal treatment began after the first postnatal year, despite this period of time being important for infant ER development (Calkins et al., Reference Calkins, Dollar and Wideman2019; Tottenham, Reference Tottenham2019) and in both studies, only single observational measures of infant behavior were used to assess ER capacity. It is important to note that observational and parent-report measures of infant behavior alone may not capture the full scope of ER (Fox, Reference Fox1998) and may lack the sensitivity to detect important changes. To date, just two studies have measured infant ER capacity following maternal treatment using physiological measures (Amani et al., Reference Amani, Krzeczkowski, Savoy, Schmidt and Van Lieshout2023; Krzeczkowski et al., Reference Krzeczkowski, Schmidt and Van Lieshout2021). Using an observational study design, Krzeczkowski and colleagues found increased HF-HRV and a shift from right to left FAA following nine weeks of group CBT for PPD delivered by experts to mothers in a specialized perinatal mental health clinic meeting DSM-5 diagnostic criteria for MDD (Krzeczkowski et al., Reference Krzeczkowski, Schmidt and Van Lieshout2021). However, given the observational design and a lack of a depressed control group, this study was not able to rule out whether changes in infants were due to treatment or potential confounding factors (Metelli & Chaimani, Reference Metelli and Chaimani2020). Similarly, recent work by our group has found evidence of change in infant FAA and HF-HRV following nine weeks of maternal participation in a peer-delivered group CBT intervention (Amani et al., Reference Amani, Krzeczkowski, Savoy, Schmidt and Van Lieshout2023).

Relative to treatments delivered by expert therapists in hospital settings, structured group interventions delivered by PHNs in community settings could have the potential to be more broadly, effectively, and efficiently scaled to improve PPD and infant ER capacity. To help realize this substantial public health potential, the objective of the present study was to determine if participation in a nine-week PHN-delivered group CBT intervention could lead to potentially adaptive changes in infant ER capacity as indexed by two neurophysiological markers (HF-HRV and FAA) and parental reports of infant temperament.

Methods

This study included mother–infant pairs who were part of a parallel-group, single-site, RCT assessing the effectiveness of a nine-week PHN-delivered group CBT intervention for PPD (Van Lieshout et al., Reference Van Lieshout, Layton, Savoy, Haber, Feller, Biscaro, Bieling and Ferro2022). This study took place in Ontario, Canada (ClinicalTrials.gov identifier: NCT03039530) between April 1, 2017 to January 20, 2020. Mother–infant dyads were randomized in a 1:1 ratio to experimental or control groups. Blocked randomization with block sizes of four, six, and eight was conducted by a statistician using R and implemented by the study coordinator using Research Electronic Data Capture (REDCap; Harris et al., Reference Harris, Taylor, Thielke, Payne, Gonzalez and Conde2009).

Experimental group participants enrolled in the nine-week intervention in addition to receiving treatment as usual (TAU) from their healthcare providers, while control participants received TAU alone. Since healthcare is universally available in Ontario, Canada, TAU could include medications and/or psychotherapy from a physician and/or clinician at a provincially funded facility/program. Participants could also access private therapists or any other treatments they wished.

The current study was a secondary analysis of a study whose primary objective was to examine if PHN-delivered group CBT for PPD could effectively treat maternal PPD. A priori power analysis determined that a sample of 136 participants (68 per arm) would provide adequate statistical power to address this maternal PPD objective. It is important to note that studies examining infant ER capacity have been of a similar sample size (Field et al., Reference Field, Fox, Pickens and Nawrocki1995; Lusby et al., Reference Lusby, Goodman, Bell and Newport2014).

Data were collected at baseline (T1) and nine weeks later (posttreatment in the experimental group; T2). No data were collected at a T3 time point (6 months posttreatment) because of COVID-19 pandemic-related restrictions on face-to-face research in Ontario, Canada. Mothers completed questionnaires electronically using REDCap (Harris et al., Reference Harris, Taylor, Thielke, Payne, Gonzalez and Conde2009) and infant physiological data were collected during in-person study visits at T1 and T2. In-person study visits took place at Niagara Region Public Health. The present study was approved by the Hamilton Integrated Research and the Niagara Region Public Health Ethics Boards. Participants provided informed consent prior to randomization. No study methods changed after trial commencement.

Mother–infant dyads were recruited both through social media advertising (e.g., Facebook, Instagram) and healthcare providers (e.g., PHNs, midwives, physicians, etc.). Participants could self-refer to the study or be referred by a healthcare provider and had to be ≥ 18 years old, have an infant < 12 months, and an Edinburgh Postnatal Depression Scale (EPDS) score ≥ 10. This EPDS cutoff is typically used in primary care settings to detect PPD (Earls et al., Reference Earls, Siegel, Dobbins, Garner, McGuinn, Pascoe, Wood, Brown, Kupst, Martini, Sheppard, Cohen and Smith2010) and was selected because almost 30% of mothers experience these levels of symptoms (Meaney, Reference Meaney2018). In addition, the use of EPDS enabled us to maximize eligibility and the public health relevance of our findings. Participants were also free of bipolar, psychotic, and current substance use disorders as per the Mini International Neuropsychiatric Interview (MINI; Sheehan et al., Reference Sheehan, Lecrubier, Janavs, Knapp and W.1998), as well as free of borderline or antisocial personality disorders.

Six PHNs were trained to deliver the nine-week group CBT intervention which was effective in improving depression and anxiety in mothers (Van Lieshout et al., Reference Van Lieshout, Layton, Savoy, Haber, Feller, Biscaro, Bieling and Ferro2022). The intervention consisted of nine weekly two-hour sessions delivered by two PHNs. The first half of each session consisted of core CBT content, while the second half included psychoeducation and a group discussion of relevant topics (e.g., sleep, utilizing supports; Van Lieshout et al., Reference Van Lieshout, Yang, Haber and Ferro2017, Reference Van Lieshout, Layton, Feller, Ferro, Biscaro and Bieling2020). No formal psychotherapy supervision took place during the intervention delivery, but an expert therapist was available to the PHNs to provide clinical support if needed.

Sociodemographic (maternal and infant age, infant sex, household income, maternal marital status and education), clinical (EPDS scores, Penn State Worry Questionnaire (PSWQ) scores, MDD diagnosis, psychotropic medication use), and infant temperament data (IBQ-R Very Short-Form) were self-reported by mothers, while in-person physiological data were acquired from infants during in-person study visits. Participants in both study arms reported on mental health services and psychotropic medication use during the nine-week treatment period using the Healthcare Resource Utilization Questionnaire (HRUQ; Van Lieshout et al., Reference Van Lieshout, Layton, Savoy, Haber, Feller, Biscaro, Bieling and Ferro2022), based on the Canadian Community Health Survey (CCHS) and adapted for use in the postpartum period (Gravel & Béland, Reference Gravel and Béland2005).

Participant characteristics

Mothers were 30.8 years old (SD = 4.7), 95.5% were born in Canada, 2.3% in England, 1.1% in Japan and 1.1% in Kenya, 92.3% were married or common-law, and had 17.9 (SD = 3.4) years of education. Of those in the present study, 67.3% had a MDD diagnosis and 29.9% were taking a psychotropic medication at the start of the study. Infants were a mean age of 5.4 months old (SD = 2.9) with a range of 2–12 months at baseline and 52.1% were male. No statistically significant differences were found in sociodemographic or clinical characteristics between experimental and control groups at baseline.

Physiological data were collected from infants during a six-minute resting-state task. Electrocardiographic (ECG) and Electroencephalography (EEG) recordings were taken while mothers were asked to hold their infant while sitting upright and facing a screensaver. Mothers were instructed not to speak to their infant and to refrain from moving them. Physiological recordings did not begin until dyads were given time to acclimate to the testing room and at a time when infants were calm but alert. Testers remained hidden behind a partition during physiological recordings.

High-frequency heart rate variability (HF-HRV)

ECG data were collected with the Mindware Mobile Impedance Cardiograph (Mindware Technologies Ltd Gahanna, OH). ECG electrodes were placed on infants' right shoulder blade and their left-most lower back. HF-HRV was calculated from the ECG trace by extracting the power spectrum that corresponds with respiration for infants (0.24–1.04 Hz; Laborde et al., Reference Laborde, Mosley and Thayer2017). Data were acquired during the six-minute resting-state task using Biolab software (version 3.2.3, Mindware Technologies Ltd Gahanna, OH) and analyzed in 30-s segments. Mindware HRV Analysis software was used to first inspect the data visually for artifacts, then to conduct manual corrections (e.g., adding missing heartbeats, correcting mis-identified heartbeats) and next to analyze the data on a 0.24–1 Hz frequency range. Higher values of resting HF-HRV are reflective of more adaptive control and flexibility of the nervous system to handle stress (Porges, Reference Porges2007; Thayer et al., Reference Thayer, Hansen, Saus-Rose and Johnsen2009).

Frontal alpha asymmetry (FAA)

EEG data were collected using a custom dry EEG headband developed by InteraXon for infant use (Krigolson et al., Reference Krigolson, Williams, Norton, Hassall and Colino2017; Ratti et al., Reference Ratti, Waninger, Berka, Ruffini and Verma2017). In addition to their portability and ease-of-use, other infant studies suggest that they can collect reliable EEG data (Krigolson et al., Reference Krigolson, Williams, Norton, Hassall and Colino2017; Neto et al., Reference Neto, Haenni, Phuka, Ozella, Paolotti, Cattuto, Robles and Lichand2021). Each headband includes 5 sensors, two temporoparietal (TP9 and TP10), two frontal (AF7 and AF8), and a fifth reference electrode in the center of the forehead (Fpz). Data were sampled at 250 Hz and sent from the headband sensors to the MINDMonitor app (Mind Monitor, 2015) where data were bandpass filtered between 1 and 100 Hz, notch filtered at 60 Hz and epoched to one second intervals before a real-time Fast Fourier Transformation (FFT) was performed. Data were then saved in comma separated value (CSV) format. Next, they were visually inspected for segments with noise or weak signals (e.g., repeating values) that were then removed from analysis. To calculate FAA, the log-transformed alpha power (4–8 Hz) at the left frontal hemisphere (AF7) was subtracted from the right frontal hemisphere (AF8). Alpha frequency bands in infants are typically within the 4–9 Hz range (Fox et al., Reference Fox, Henderson, Rubin, Calkins and Schmidt2001; Marshall et al., Reference Marshall, Bar-Haim and Fox2002). Greater resting relative right frontal asymmetric activity (indicated by values < 0) reflects a predisposition to experiencing negative emotions, having more withdrawal-related tendencies, and is predictive of later psychopathology (Coan & Allen, Reference Coan and Allen2004), while greater relative left frontal asymmetric activity is reflective of more approach-oriented behavior and positive emotionality.

Temperament

Mothers reported infant temperament using the IBQ-R Very Short-Form, a 37-item questionnaire where infant behavior is rated on a 7-point scale (Putnam et al., Reference Putnam, Gartstein and Rothbart2006, 2014). A priori, we decided to examine the orienting/regulatory capacity domain of the IBQ-R as the maternally reported measure of infant ER capacity. This domain is a reliable marker of infant regulatory capacity (Putnam et al., Reference Putnam, Rothbart and Gartstein2008), and higher scores suggest greater ER capacity and correlate with greater infant HF-HRV and left FAA (Krzeczkowski et al., Reference Krzeczkowski, Schmidt and Van Lieshout2021). Using the 12 items of the orienting/regulatory capacity domain of the IBQ-R, we calculated Cronbach’s alpha and found a = .60. It is important to highlight that the internal consistency of this measure, while acceptable, should be considered when interpreting these findings.

Analysis plan

T tests and chi-square tests were used to analyze differences in baseline characteristics between groups. Potential predictors of attrition on offspring ER capacity outcomes (HF-HRV, FAA, IBQ-R) were also examined. Maternal depressive symptoms (mean EPDS scores) stratified by group at T1 and T2 were calculated to assess the treatment effect in mothers included in the present study sample.

We used linear mixed effects models (LMM) with restricted maximum likelihood estimation to examine the effect of the intervention on all three infant outcomes. This type of analysis is widely used in clinical trials as it can account for missing data (Chakraborty & Gu, Reference Chakraborty and Gu2019). Using a two-level hierarchy, outcome data at T1 and T2 were nested within each participant to assess the effect of the intervention over time between groups. To account for unobserved heterogeneity at the level of the individual participant and control for clustering effects, a random-effects intercept was included in the model. Lastly, we controlled for experimental participants participating in different CBT groups by including CBT group assignment as a fixed effect in our model. For outcomes that showed a statistically significant group-by-time interaction, we examined the simple effect of each group on the outcome over time. Intervention effect was calculated for each outcome using means and standard deviations of outcome measures at T1 and T2 in the experimental group.

Results

Table 1 includes a summary of maternal and infant characteristics stratified by treatment group. A total of 141 mothers were randomized to experimental or control groups between April 1, 2017 to January 20, 2020 (Figure 1). Participants in both study arms reported on mental health services and psychotropic medication use during the nine-week treatment period. At the nine-week follow-up (T2), 38.8% mothers (19/49) in the experimental group reported taking a psychotropic medication, while 27.0% mothers (10/37) in the control group did. In the experimental group, 4.1% (2/49) participants attended a crisis support program (e.g., mental health line), 12.2% (6/49) saw a psychiatrist, and 16.3 % (8/49) saw a social worker. In the control group, 2.7% (1/37) attended a crisis support program (e.g., mental health line), 13.5 % (5/37) saw a psychiatrist, 5.4% (2/37) saw a psychologist and 13.5 % (5/37) saw a social worker. There were no statistically significant differences in mental health service or psychotropic medication use between groups.

Figure 1. CONSORT flow diagram.

Table 1. Participant baseline characteristics

The CBT groups attended by the experimental group included an average of 6 participants. Eighty-eight percent of participants attended 5 or more of their 9 CBT sessions.

At T1, 107 dyads provided data on at least one outcome measure and 78 participants provided these data at T2 (Fig. 1). At T1, 53 experimental dyads and 40 control group dyads attended in-person study visits. At T2, 37 experimental dyads and 24 control group dyads attended in-person study visits. Table 2 includes means, standard deviations, and sample sizes for each outcome measure at each data collection point.

Table 2. Impact of maternal treatment on measures of infant emotion regulation

We found no sample characteristics at baseline (infant age, infant sex, maternal age, household income, marital status, education, MDD diagnosis, and psychiatric medication) to predict loss to follow-up in the experimental and control group. Levels of maternal depressive symptoms (EPDS scores) at T1 did not predict loss to follow-up at T2 in either the experimental (F(1,49) = 1.46, p = .23) or control group (F(1,41) = .04, p = .84). While the missingness we experienced appears to be unrelated to the data itself, it is likely that our data were missing not at random (MNAR) as the missingness may be due to outside factors not reflected in the data. From T1 to T2, attrition did not differ between groups for HF-HRV or IBQ-R scores, but loss to follow-up for FAA was 22.2% in the experimental group and 51.5% in the control group (X 2 = 9.23, p < .01).

PPD symptoms

In the present study, those in the experimental group had EPDS scores that decreased from 16.1 (SD = 4.4) to 10.6 (SD = 4.6) after treatment, while individuals in the control group manifested a slight decrease in EPDS scores from 15.8 (SD = 3.8) at T1 to 13.1 (SD = 5.0) at T2. Improvement in the experimental group was greater than the control group (t(77.45) = 2.65,p = .01) and the magnitude of treatment effect was large ((Hedges’ g) = 1.2).

High-frequency heart rate variability

Infant HF-HRV was not different between experimental and controls groups at T1. A statistically significant group-by-time interaction predicted change in HF-HRV between T1 and T2 (F(1,68.3) = 4.04, p = .04), suggesting that maternal treatment predicted change in infant HF-HRV. The B coefficient of the interaction term indicates that the mean difference in slope (change in RSA over T1 to T2) between the treatment and control groups was B = .59 (p = .04). The slope of the treatment group representing mean change over time (B = .83, p < .01) was statistically significant while the control group was not (B = .22, p = .22). The magnitude of the treatment effect was medium (Hedges’ g = .76) and suggests that infants’ ER improved with maternal treatment.

Frontal alpha asymmetry

At T1, mean FAA was not statistically significantly different between the experimental and control group infants. Results of the LMM indicated that there was no statistically significant group-by-time interaction to predict change in FAA scores over time (F(1,57.7) = .25, p = .62), suggesting that maternal treatment did not lead to changes in infant FAA. Experimental group means in Table 2 indicate that at T1 (FAA = .08) and T2 (FAA = .05), mean frontal asymmetric activity did not change substantially and remained as more left FAA following maternal treatment.

Orienting/regulatory capacity (temperament)

At baseline, infants in the experimental and control group did not differ in IBQ-R. Mean scores at T1 and T2, stratified by group are presented in Table 2. To assess the effect of the intervention on maternal reports of infant ER capacity, we used LMM to examine the orienting/regulatory capacity domain of the IBQ-R. Results of LMM indicated that there was no statistically significant group-by-time interaction to predict orienting/regulatory capacity (F(1,85.8) = .000, p = .99). Means reported in Table 2 suggest that maternal report of infant temperament was similar at both time points in both treatment arms.

Discussion

The results of this study suggest that PHN-delivered group CBT for PPD can lead to clinically significant improvements in PPD symptoms in mothers, as well as adaptive changes in a neurophysiological marker of infant ER capacity (HF-HRV). However, it did not lead to statistically significant improvements in infant FAA or maternal reports of infant temperament.

An increasing number of studies are examining the impact of maternal PPD treatment on infant outcomes, including markers of emotional, behavioral, and cognitive development (Meager & Milgrom, Reference Meager and Milgrom1996; Ammerman et al., Reference Ammerman, Altaye, Putnam, Teeters, Zou and Van Ginkel2015; Bilszta et al., Reference Bilszta, Buist, Wang and Zulkefli2012; Cicchetti et al., Reference Cicchetti, Rogosch and Toth2000; Cohen et al., Reference Cohen, Lojkasek, Muir, Muir and Parker2002; Cooper et al., Reference Cooper, Murray, Wilson and Romaniuk2003; Fonagy et al., Reference Fonagy, Sleed and Baradon2016; Forman et al., Reference Forman, O’Hara, Stuart, Gorman, Larsen and Coy2007; Handley et al., Reference Handley, Michl-Petzing, Rogosch, Cicchetti and Toth2017; Hart et al., Reference Hart, Field and Nearing1998; Kersten-Alvarez et al., Reference Kersten-Alvarez, Hosman, Riksen-Walraven, Van Doesum and Hoefnagels2010; Misri et al., Reference Misri, Reebye, Milis and Shah2006; Onozawa et al., Reference Onozawa, Glover, Adams, Modi and Kumar2001; Stein et al., Reference Stein, Netsi, Lawrence, Granger, Kempton, Craske, Nickless, Mollison, Stewart, Rapa, West, Scerif, Cooper and Murray2018b; Toth et al., Reference Toth, Rogosch, Manly and Cicchetti2006; Van Doesum et al., Reference Van Doesum, Riksen-Walraven, Hosman and Hoefnagels2008; Verduyn et al., Reference Verduyn, Barrowclough, Roberts, Tarrier and Harrington2003). While only three of these measured markers of offspring ER capacity, they did report some positive influence of maternal treatment (Cohen et al., Reference Cohen, Lojkasek, Muir, Muir and Parker2002; Krzeczkowski et al., Reference Krzeczkowski, Schmidt and Van Lieshout2021; Stein et al., Reference Stein, Netsi, Lawrence, Granger, Kempton, Craske, Nickless, Mollison, Stewart, Rapa, West, Scerif, Cooper and Murray2018). However, two of these examined infant ER following maternal interventions delivered after the first postnatal year and both relied on observational assessments alone (Cohen et al., Reference Cohen, Lojkasek, Muir, Muir and Parker2002; Stein et al., Reference Stein, Netsi, Lawrence, Granger, Kempton, Craske, Nickless, Mollison, Stewart, Rapa, West, Scerif, Cooper and Murray2018). While the third study intervened in the first year of life and used physiological measures of ER capacity, their sample was restricted to patients in a specialty perinatal mental health clinic and used an observational design with no PPD controls. The current study utilized a stronger study design (e.g., RCT), included mothers with a range of levels PPD symptoms living in the community, and a cost-effective and preferred, scalable treatment delivered by public health professionals (PHNs).

After nine weeks of treatment with group CBT for PPD, the present study found a statistically significant increase in infant HF-HRV of medium effect size. This is consistent with Krzeczkowski and colleagues’ observational study of an intervention delivered by expert therapists (Krzeczkowski et al., Reference Krzeczkowski, Schmidt and Van Lieshout2021) and a second RCT of group CBT delivered by mothers who had previously recovered from PPD (Amani et al., Reference Amani, Krzeczkowski, Savoy, Schmidt and Van Lieshout2023). Increases in infant HF-HRV suggest greater flexibility of the ANS through the activity of the vagus nerve (Porges, Reference Porges2007; Porges & Furman, Reference Porges and Furman2011; Quigley & Moore, Reference Quigley and Moore2018).

During the first year of life, the vagal circuitry that governs an infant’s sympathetic nervous system’s fight or flight response begins coordinating its circuits with higher-order cortical processes (Porges, Reference Porges2007), resulting in the biobehavioral pathway that underlies the social engagement system (SES; Porges, Reference Porges2007; Porges & Furman, Reference Porges and Furman2011). This enables infants to use their social environment to regulate their emotions rather than relying on the more primitive fight or flight system (Porges & Furman, Reference Porges and Furman2011). In fact, resting-state HF-HRV indexes the balance of activity between these two systems (Porges & Furman, Reference Porges and Furman2011). Since the socioemotional environment plays a key role in SES development (Porges & Furman, Reference Porges and Furman2011), maternal PPD can negatively impact its development. Infants actively facilitate SES development by seeking out opportunities to engage with their mothers (Atzil et al., Reference Atzil, Gao, Fradkin and Barrett2018). However, mothers with PPD are more likely to miss their infants’ cues and can fail to help their infants’ regulate their emotions (Moore & Calkins, Reference Moore and Calkins2004). Given the sensitivity of the SES to an infant’s social environment, even subtle changes (e.g., better recognition of infants’ cues by mothers) may have contributed to the adaptive changes in resting-state HF-HRV observed. Indeed, maternal treatment may have reduced mothers’ symptoms of depression and/or anxiety and enabled their infants to better self-regulate, or maternal symptomatic improvements might have helped them to better engage their infants and enhance their self-regulation. However, since we did not specifically examine the factors that may change in mothers following treatment, we cannot say for certain why maternal treatment led to an increase in infant HF-HRV.

While the neurophysiological systems that underlie ER development exhibit immerse plasticity during the first postnatal year, we believe that the magnitude of our observed changes over our nine-week study period may not have occurred as a result of developmental maturation and change alone. In the first year of life, infants possess rudimentary ER capacity (i.e., thumb suckling, turning attention away from stimuli) and so rely heavily on their caregivers to support emotion regulatory capacity (Porges & Furman, Reference Porges and Furman2011). As a result, the development and maturation of core ER regulatory systems must be examined in the context of salient environmental conditions (e.g., maternal mood and behavior) that shape the development of these systems. For instance, while HF-HRV increases across the first year of life, we would not expect to see increases of our reported magnitude within the nine-week study period (Bar‐Haim et al., Reference Bar‐Haim, Marshall and Fox2000). Additionally, evidence suggests that children exposed to early adversity and who are at-risk for mental disorders do not exhibit typical developmental increases in HF-HRV (Gentzler et al., Reference Gentzler, Rottenberg, Kovacs, George and Morey2012). Furthermore, while the development of systems underlying frontal EEG asymmetry assessed at resting state appear to remain stable across infancy (Brooker et al., Reference Brooker, Canen, Davidson and Hill Goldsmith2017), continued exposure to depression into childhood may result in increasingly right frontal EEG asymmetry (Goldstein et al., Reference Goldstein, Shankman, Kujawa, Torpey-Newman, Olino and Klein2016). Finally, it is important to note that if infants experienced differential developmental maturation during the study period, we would expect randomization to balance these effects across the treatment and control groups.

Unlike our previous trial of a peer-delivered PPD intervention (Amani et al., Reference Amani, Krzeczkowski, Savoy, Schmidt and Van Lieshout2023) and Krzeczkowski and colleagues’ observational study (2021), we did not observe changes in FAA or maternally reported ER capacity following treatment. It is not clear why our results differ, but it could be due to differences in sample characteristics and/or intervention delivery. Our sample was recruited from the community, and just 67.3% were diagnosed with MDD, compared to Krzeczkowski and colleagues’ clinical sample where all had MDD (Krzeczkowski et al., Reference Krzeczkowski, Schmidt and Van Lieshout2021). Moreover, participants in the peer-led RCT had fewer years of education and a lower mean household income (Amani et al., Reference Amani, Krzeczkowski, Savoy, Schmidt and Van Lieshout2023) than the present study. As a result, infants in the present study may have had less exposure to negative environmental factors (maternal depression, socioeconomic disadvantage) and so were more limited in the amount they could improve, reducing their ability to initiate changes to large-scale neural networks. FAA and temperament assess stable (Brooker et al., Reference Brooker, Canen, Davidson and Hill Goldsmith2017; Müller et al., Reference Müller, Kühn-Popp, Meinhardt, Sodian and Paulus2015), trait-related (Fox, Reference Fox1994; Rothbart, Reference Rothbart2007; Smith et al., Reference Smith, Diaz, Day and Bell2016) mechanisms through which infants interact with their environment (e.g., approach-withdrawal tendencies; Harmon-Jones & Gable, Reference Harmon-Jones and Gable2017) and both result from the coordinated activity of multiple brain regions (Davidson, Reference Davidson2000; Posner et al., Reference Posner, Rothbart, Sheese and Voelker2012). Therefore, changes in FAA and temperament may require larger changes in an infant’s environment relative to infant HF-HRV, which is sensitive to more acute changes in socioemotional environments (Atzil et al., Reference Atzil, Gao, Fradkin and Barrett2018), or take longer to manifest.

There may be additional reasons why we did not find change in infant FAA and temperament following maternal treatment. First, infants in our treatment group exhibited greater left frontal asymmetric activity prior to treatment (0.08), while infants in Krzeczkowski et al., presented greater right frontal asymmetric activity at baseline (Krzeczkowski et al., Reference Krzeczkowski, Schmidt and Van Lieshout2021). Second, we used a relatively new mobile, dry EEG system to measure FAA, and we may have had inadequate statistical power to detect changes in FAA and temperament. Using means and SD of change from T1 to T2, we calculated post hoc power calculations (G*Power Version 3.1.9.7) on all three outcomes. We found that although we had sufficient statistical power (0.96) to detect changes in HF-HRV, the power to detect differences in FAA and IBQ-R changes was much lower (0.16 and 0.12, respectively). Of note, a study of a maternal PPD intervention with a similar sampling frame and sample size (n = 80 at pre- and post-intervention time points) and that measured the same outcomes detected change in maternal report of temperament, infant FAA and HF-HRV (Krzeczkowski et al., Reference Krzeczkowski, Schmidt and Van Lieshout2021). In this study, the observed effect was Cohen’s d = 0.60. Based on their observed effect, alpha of 0.05, and power set to 0.8, we would need a sample of 90 dyads to see an effect of this magnitude. Additionally, sensitivity analysis determined that the minimally important effect size for FAA and IBQ-R were 1.20 and 0.84, respectively. Suggesting that with our sample size, an effect of this magnitude or greater would need to be found in order to distinguish it from a null effect.

The results of this study should also be examined in the context of some further limitations. In our study, most of our participants were Canadian-born, married, had several years of post-secondary education, and all lived in a region where healthcare is universally available. Therefore, our findings may not be generalizable to all groups with PPD. Another limitation is that we only collected place of birth in this study. It is also important to note that our sample size is small and post hoc power calculations suggest that we may not have had adequate statistical power to detect changes in two of our infant outcomes (FAA and IBQ-R). Additionally, more participant attrition was observed in the control group, and they also completed FAA measures less often, highlighting the need for future research to more thoroughly examine whether infant FAA may change in response to maternal treatment.

Because physiological data from infants were collected in community settings, we used the MUSE EEG band for its portability and practicality. While it may have affected our FAA findings, a previous RCT by our group using this technology did replicate the findings of an observational study that used a full dense array EEG system (Krzeczkowski et al., Reference Krzeczkowski, Schmidt and Van Lieshout2021). It is also important to note that the IBQ-R Very Short Form (VSF) was designed for infants 3 to 12 months old. While the majority of infants were 3 months or older (79.8%) at the first data collection time point, 20.2 % of infants in the present study were less than 3 months old. Lastly, the pandemic limited our ability to examine timepoints beyond the immediate posttreatment period, highlighting the need to examine the longer-term effects of maternal PPD treatment on infant ER capacity.

Considering the possibility that at least some mothers with PPD also experienced prenatal depression, or at least elevated symptoms of depression during pregnancy, and since fetal exposure to maternal prenatal depression may lead to in utero alterations in key physiological systems involved in ER (Kinsella & Monk, Reference Kinsella and Monk2009), the presence of maternal prenatal depression is an important factor to consider in future research. Including these data could provide the field with a greater understanding of the potential for maternal treatment to mitigate infant risks due to exposures both prenatally and postnatally.

The findings of this study suggest that delivery of group CBT for PPD task-shifted to PHNs effectively reduced symptoms of depression in mothers and led to adaptive increases in infant HF-HRV after just nine weeks. These results suggest that treating maternal PPD could have the potential to alter infant ER capacity and neurophysiology at the level of the ANS. However, maternal treatment did not lead to changes in FAA or maternal reports of temperament, and so studies of larger samples examining outcomes over longer time periods are required. While our work highlights the importance of early maternal intervention and its potential public health impact, more work is needed to further our understanding of the mechanisms responsible for putative infant ER change, and the potential long-term impact of early PPD treatment.

Acknowledgements

The authors would like to thank the families that participated in this study.

Funding statement

None.

Competing interests

None.

References

Amani, B., Krzeczkowski, J. E., Savoy, C., Schmidt, L. A., & Van Lieshout, R. J. (2023). The impact of peer-delivered cognitive behavioral therapy for postpartum depression on infant emotion regulation. Journal of Affective Disorders, 338, 380383. https://doi.org/10.1016/j.jad.2023.05.096 Google Scholar
Ammerman, R. T., Altaye, M., Putnam, F. W., Teeters, A. R., Zou, Y., & Van Ginkel, J. B. (2015). Depression improvement and parenting in low-income mothers in home visiting. Archives of Women’s Mental Health, 18(3), 555563. https://doi.org/10.1007/s00737-014-0479-7 Google Scholar
Atzil, S., Gao, W., Fradkin, I., & Barrett, L. F. (2018). Growing a social brain. Nature Human Behaviour, 2(9), 624636. https://doi.org/10.1038/s41562-018-0384-6 Google Scholar
Bar‐Haim, Y., Marshall, P. J., & Fox, N. A. (2000). Developmental changes in heart period and high‐frequency heart period variability from 4 months to 4 years of age. Developmental Psychobiology: The Journal of the International Society for Developmental Psychobiology, 37(1), 4456.Google Scholar
Bauer, A., Knapp, M., & Adelaja, B. (2016). Best practice for perinatal mental health care : The economic case. PSSRU Report.Google Scholar
Bilszta, J. L. C., Buist, A. E., Wang, F., & Zulkefli, N. R. (2012). Use of video feedback intervention in an inpatient perinatal psychiatric setting to improve maternal parenting. Archives of Women’s Mental Health, 15(4), 249257. https://doi.org/10.1007/s00737-012-0283-1 Google Scholar
Bornstein, M. H., & Suess, P. E. (2000). Physiological self-regulation and information processing in infancy: Cardiac vagal tone and habituation. Child Development, 71(2), 273287. https://doi.org/10.1111/1467-8624.00143 Google Scholar
Brooker, R. J., Canen, M. J., Davidson, R. J., & Hill Goldsmith, H. (2017). Short- and long-term stability of alpha asymmetry in infants: Baseline and affective measures. Psychophysiology, 54(8), 11001109. https://doi.org/10.1111/psyp.12866 Google Scholar
Calkins, S. D., Dollar, J. M., & Wideman, L. (2019). Temperamental vulnerability to emotion dysregulation and risk for mental and physical health challenges. Development and Psychopathology, 31(3), 957970. https://doi.org/10.1017/S0954579419000415 Google Scholar
Calkins, S. D., & Hill, A. (2007). Caregiver influences on emerging emotion regulation. Handbook of Emotion Regulation, 229248, 229248.Google Scholar
Chakraborty, H., & Gu, H. (2019). A mixed model approach for intent-to-treat analysis in longitudinal clinical trials with missing values. RTI Press.Google Scholar
Chapman, S. L. C., & Wu, L.-T. (2013). Postpartum substance use and depressive symptoms: A review. Women & Health, 53(5), 479503.Google Scholar
Cicchetti, D., Rogosch, F. A., & Toth, S. L. (2000). The efficacy of toddler-parent psychotherapy for fostering cognitive development in offspring of depressed mothers. Journal of Abnormal Child Psychology, 28(2), 135148. https://doi.org/10.1023/A:1005118713814 Google Scholar
Coan, J. A., & Allen, J. J. B. (2004). Frontal EEG asymmetry as a moderator and mediator of emotion. Biological Psychology, 67(1-2), 750. https://doi.org/10.1016/j.biopsycho.2004.03.002 Google Scholar
Cohen, N. J., Lojkasek, M., Muir, E., Muir, R., & Parker, C. J. (2002). Six-month follow-up of two mother-infant psychotherapies: Convergence of therapeutic outcomes. Infant Mental Health Journal, 23(4), 361380. https://doi.org/10.1002/imhj.10023 CrossRefGoogle Scholar
Cooper, P. J., Murray, L., Wilson, A., & Romaniuk, H. (2003). Controlled trial of the short- and long-term effect of psychological treatment of post-partum depression. I. Impact On Maternal Mood. British Journal of Psychiatry, 182(MAY), 412419. https://doi.org/10.1192/bjp.182.5.412 Google Scholar
Davidson, R. J. (2000). Affective style, psychopathology, and resilience: Brain mechanisms and plasticity. American Psychologist, 55(11), 12141230.Google Scholar
Dennis, C. L., Grigoriadis, S., Zupancic, J., Kiss, A., & Ravitz, P. (2020). Telephone-based nurse-delivered interpersonal psychotherapy for postpartum depression: Nationwide randomised controlled trial. British Journal of Psychiatry, 216(4), 189196. https://doi.org/10.1192/bjp.2019.275 Google Scholar
Earls, M. F., Siegel, B. S., Dobbins, M. I., Garner, A. S., McGuinn, L., Pascoe, J., Wood, D. L., Brown, R. T., Kupst, M. J., Martini, D. R., Sheppard, M., Cohen, G. J., & Smith, K. S. (2010). Clinical report - incorporating recognition and management of perinatal and postpartum depression into pediatric practice. Pediatrics, 126(5), 10321039. https://doi.org/10.1542/peds.2010-2348 Google Scholar
Field, T., Diego, M., Hernandez-Reif, M., Schanberg, S., Kuhn, C., Yando, R., & Bendell, D. (2002). Prenatal depression effects on the foetus and neonate in different ethnic and socio-economic status groups. JOURNAL OF REPRODUCTIVE AND INFANT PSYCHOLOGY, 20(3), 149157. https://doi.org/10.1080/026468302760270809 CrossRefGoogle Scholar
Field, T., Fox, N. A., Pickens, J., & Nawrocki, T. (1995). Relative right frontal EEG activation in 3- to 6-month-old infants of “Depressed” mothers. Developmental Psychology, 31(3), 358363. https://doi.org/10.1037/0012-1649.31.3.358 Google Scholar
Field, T., Healy, B., Goldstein, S., Perry, S., Bendell, D., Schanberg, S., Zimmerman, E. A., & Kuhn, C. (1988). Infants of depressed mothers show “depressed” behavior even with nondepressed adults. Child Development, 59(6), 15691579. https://doi.org/10.1111/j.1467-8624.1988.tb03684.x Google Scholar
Fonagy, P., Sleed, M., & Baradon, T. (2016). Randomized controlled trial of parent-infant psychotherapy for parents with mental health problems and young infants. Infant Mental Health Journal, 37(2), 97114. https://doi.org/10.1002/imhj.21553 Google Scholar
Forman, D. R., O’Hara, M. W., Stuart, S., Gorman, L. L., Larsen, K. E., & Coy, K. C. (2007). Effective treatment for postpartum depression is not sufficient to improve the developing mother-child relationship. Development and Psychopathology, 19(2), 585602. https://doi.org/10.1017/S0954579407070289 Google Scholar
Fox, N. (1994). Dynamic cerebral processes underlying emotion regulation. Monographs of the Society for Research in Child Development, 2(3), 152166. https://doi.org/10.1007/sl Google Scholar
Fox, N. A. (1991). If it’s not left, it’s right. American Psychologist, 46(8), 863872.Google Scholar
Fox, N. A. (1998). Temperament and regulation of emotion in the first years of life. Pediatrics, 102(Supplement_E1), 12301235.Google Scholar
Fox, N. A., Henderson, H. A., Rubin, K. H., Calkins, S. D., & Schmidt, L. A. (2001). Continuity and discontinuity of behavioral inhibition and exuberance: Psychophysiological and behavioral influences across the first four years of life. Child Development, 72(1), 121. https://doi.org/10.1111/1467-8624.00262 Google Scholar
Gaynes, B. N., Gavin, N., Meltzer-Brody, S., Lohr, K. N., Swinson, T., Gartlehner, G., Brody, S., & Miller, W. C. (2005). Perinatal depression: Prevalence, screening accuracy, and screening outcomes. Evidence Report/Technology Assessment (Summary), 119, 18. https://doi.org/10.1037/e439372005-001 Google Scholar
Gentzler, A. L., Rottenberg, J., Kovacs, M., George, C. J., & Morey, J. N. (2012). Atypical development of resting respiratory sinus arrhythmia in children at high risk for depression. Developmental Psychobiology, 54(5), 556567.Google Scholar
Goldstein, B. L., Shankman, S. A., Kujawa, A., Torpey-Newman, D. C., Olino, T. M., & Klein, D. N. (2016). Developmental changes in electroencephalographic frontal asymmetry in young children at risk for depression. Journal of Child Psychology and Psychiatry, 57(9), 10751082.Google Scholar
Goodman, J. H. (2004). Paternal postpartum depression, its relationship to maternal postpartum depression, and implications for family health. Journal of Advanced Nursing, 45(1), 2635.Google Scholar
Goodman, J. H. (2009). Women’s attitudes, preferences, and perceived barriers to treatment for perinatal depression. Birth, 36(1), 6069. https://doi.org/10.1111/j.1523-536X.2008.00296.x Google Scholar
Goodman, S. H., Rouse, M. H., Connell, A. M., Broth, M. R., Hall, C. M., & Heyward, D. (2011). Maternal depression and child psychopathology: A meta-analytic review. Clinical Child and Family Psychology Review, 14(1), 127. https://doi.org/10.1007/s10567-010-0080-1 Google Scholar
Gravel, R., & Béland, Y. (2005). The Canadian community health survey: Mental health and well-being. The Canadian Journal of Psychiatry, 50(10), 573579.Google Scholar
Handley, E. D., Michl-Petzing, L. C., Rogosch, F. A., Cicchetti, D., & Toth, S. L. (2017). Developmental cascade effects of interpersonal psychotherapy for depressed mothers: Longitudinal associations with toddler attachment, temperament, and maternal parenting efficacy. Development and Psychopathology, 29(2), 601615. https://doi.org/10.1017/s0954579417000219 Google Scholar
Harmon-Jones, E., & Gable, P. A. (2017). On the role of asymmetric frontal cortical activity in approach and withdrawal motivation: An updated review of the evidence. Psychophysiology, 1(1), 123. https://doi.org/10.1111/psyp.12879 Google Scholar
Harris, P. A., Taylor, R., Thielke, R., Payne, J., Gonzalez, N., & Conde, J. G. (2009). Research electronic data capture (REDCap)-A metadata-driven methodology and workflow process for providing translational research informatics support. Journal of Biomedical Informatics, 42(2), 377381. https://doi.org/10.1016/j.jbi.2008.08.010 Google Scholar
Hart, S., Field, T., & Nearing, G. (1998). Depressed mothers’ neonates improve following the MABI and a brazelton demonstration. Journal of Pediatric Psychology, 23(6), 351356. https://doi.org/10.1093/jpepsy/23.6.351 Google Scholar
Heim, C., & Binder, E. B. (2012). Current research trends in early life stress and depression: Review of human studies on sensitive periods, gene-environment interactions, and epigenetics. Experimental Neurology, 233(1), 102111. https://doi.org/10.1016/j.expneurol.2011.10.032 Google Scholar
Horowitz, J. A., & Goodman, J. (2004). A longitudinal study of maternal postpartum depression symptoms. Research and Theory for Nursing Practice, 2(3), 149163.Google Scholar
Jones, A. (2019). Help seeking in the perinatal period: A review of barriers and facilitators. Social Work in Public Health, 34(7), 596605. https://doi.org/10.1080/19371918.2019.1635947 Google Scholar
Kersten-Alvarez, L. E., Hosman, C. M. H., Riksen-Walraven, J. M., Van Doesum, K. T. M., & Hoefnagels, C. (2010). Long-term effects of a home-visiting intervention for depressed mothers and their infants. Journal of Child Psychology and Psychiatry and Allied Disciplines, 51(10), 11601170. https://doi.org/10.1111/j.1469-7610.2010.02268.x Google Scholar
Kingston, D., Tough, S., & Whitfield, H. (2012). Prenatal and postpartum maternal psychological distress and infant development: A systematic review. Child Psychiatry and Human Development, 43(5), 683714. https://doi.org/10.1007/s10578-012-0291-4 Google Scholar
Kinsella, M. T., & Monk, C. (2009). Impact of maternal stress, depression and anxiety on fetal neurobehavioral development. Clinical Obstetrics and Gynecology, 52(3), 425440. https://doi.org/10.1097/GRF.0b013e3181b52df1 Google Scholar
Ko, J. Y., Farr, S. L., Dietz, P. M., & Robbins, C. L. (2012). Nonpregnant women of reproductive age, 2005 – 2009. Journal of Women’S Health, 21(8), 830836. https://doi.org/10.1089/jwh.2011.3466.Depression CrossRefGoogle ScholarPubMed
Krigolson, O. E., Williams, C. C., Norton, A., Hassall, C. D., & Colino, F. L. (2017). Choosing MUSE: Validation of a low-cost, portable EEG system for ERP research. Frontiers in Neuroscience, 11(MAR), 110. https://doi.org/10.3389/fnins.2017.00109 Google Scholar
Krzeczkowski, J. E., Schmidt, L. A., & Van Lieshout, R. J. (2021). Changes in infant emotion regulation following maternal cognitive behavioral therapy for postpartum depression. Depression and Anxiety, 38(4), 412421. https://doi.org/10.1002/da.23130 Google Scholar
Laborde, S., Mosley, E., & Thayer, J. F. (2017). Heart rate variability and cardiac vagal tone in psychophysiological research - recommendations for experiment planning, data analysis, and data reporting. Frontiers in Psychology, 8, 118. https://doi.org/10.3389/fpsyg.2017.00213 Google Scholar
Lusby, C. M., Goodman, S. H., Bell, M. A., & Newport, D. J. (2014). Electroencephalogram patterns in infants of depressed mothers. Developmental Psychobiology, 56(3), 459473. https://doi.org/10.1002/dev.21112 Google Scholar
Lusby, C. M., Goodman, S. H., Yeung, E. W., Bell, M. A., & Stowe, Z. N. (2016). Infant EEG and temperament negative affectivity: Coherence of vulnerabilities to mothers’ perinatal depression. DEvelopment and Psychopathology, 28(4, 1, SI), 895911. https://doi.org/10.1017/S0954579416000614 Google Scholar
Marshall, P. J., Bar-Haim, Y., & Fox, N. A. (2002). Development of the EEG from 5 months to 4 years of age. Clinical Neurophysiology, 113(8), 11991208. https://doi.org/10.1016/S1388-2457(02)00163-3 Google Scholar
Mason, J. W. (1975). A historical view of the stress field. Journal of Human Stress, 1(2), 2236. https://doi.org/10.1080/0097840X.1975.9940405 Google Scholar
Meager, I., & Milgrom, J. (1996). Group treatment for postpartum depression: A pilot study. Australian and New Zealand Journal of Psychiatry, 30(6), 852860. https://doi.org/10.3109/00048679609065055 Google Scholar
Meaney, M. J. (2018). Perinatal maternal depressive symptoms as an issue for population health. American Journal of Psychiatry, 175(11), 10841093. https://doi.org/10.1176/appi.ajp.2018.17091031 Google Scholar
Metelli, S., & Chaimani, A. (2020). Challenges in meta-analyses with observational studies. Evidence-Based Mental Health, 23(2), 8387. https://doi.org/10.1136/ebmental-2019-300129 Google Scholar
Misri, S., Reebye, P., Milis, L., & Shah, S. (2006). The impact of treatment intervention on parenting stress in postpartum depressed mothers: A prospective study. American Journal of Orthopsychiatry, 76(1), 115119. https://doi.org/10.1037/0002-9432.76.1.115 Google Scholar
Moffitt, T. E., Arseneault, L., Belsky, D., Dickson, N., Hancox, R. J., Harrington, H., & Caspi, A. (2011). A gradient of childhood self-control predicts health, wealth, and public safety. Proceedings of The National Academy of Sciences of The United States of America, 108(7), 26932698.Google Scholar
Moore, G. A., & Calkins, S. D. (2004). Infants’ vagal regulation in the still-face paradigm is related to dyadic coordination of mother-infant interaction. Developmental Psychology, 40(6), 10681080. https://doi.org/10.1037/0012-1649.40.6.1068 Google Scholar
Müller, B. C. N., Kühn-Popp, N., Meinhardt, J., Sodian, B., & Paulus, M. (2015). Long-term stability in children’s frontal EEG alpha asymmetry between 14-months and 83-months. International Journal of Developmental Neuroscience, 41(1), 110114. https://doi.org/10.1016/j.ijdevneu.2015.01.002 Google Scholar
Neto, O. L., Haenni, S., Phuka, J., Ozella, L., Paolotti, D., Cattuto, C., Robles, D., & Lichand, G. (2021). Combining wearable devices and mobile surveys to study child and youth development in Malawi: Implementation study of a multimodal approach. JMIR Public Health and Surveillance, 7(3), e23154. https://doi.org/10.2196/23154 Google Scholar
Onozawa, K., Glover, V., Adams, D., Modi, N., & Kumar, R. C. (2001). Infant massage improves mother-infant interaction for mothers with postnatal depression. Journal of Affective Disorders, 63(1), 201207. https://doi.org/10.1016/S0165-0327(00)00198-1 Google Scholar
Panari, C., Tonelli, M., & Mazzetti, G. (2020). Emotion regulation and employability: The mediational role of ambition and a protean career among unemployed people. Sustainability (Switzerland), 12(22), 113. https://doi.org/10.3390/su12229347 Google Scholar
Porges, S. W. (2007). The polyvagal perspective. Biological Psychology, 74(2), 116143. https://doi.org/10.1016/j.biopsycho.2006.06.009 Google Scholar
Porges, S. W., Furman, S. A. (2011). The early development of the autonomic nervous system provides a neural platform for social behaviour: A polyvagal perspective. Infant and Child Development, 20(1), 106118. https://doi.org/10.1002/icd Google Scholar
Posner, M. I., Rothbart, M. K., Sheese, B. E., & Voelker, P. (2012). Control networks and neuromodulators of early development. Developmental Psychology, 48(3), 827835. https://doi.org/10.1037/a0025530.Control Google Scholar
Propper, C., & Moore, G. A. (2006). The influence of parenting on infant emotionality: A multi-level psychobiological perspective. Developmental Review, 26(4), 427460. https://doi.org/10.1016/j.dr.2006.06.003 Google Scholar
Putnam, S. P., Gartstein, M. A., & Rothbart, M. K. (2006). Measurement of fine-grained aspects of toddler temperament: The early childhood behavior questionnaire. Infant Behavior and Development, 29(3), 386401. https://doi.org/10.1016/j.infbeh.2006.01.004 Google Scholar
Putnam, S. P., Helbig, A. L., Gartstein, M. A., Rothbart, M. K., & L., E. (2014). Development and assessment of short and very short forms of the infant behavior questionnaire-revised. J Pers Assess. J Pers Assess, 96(4), 445458.Google Scholar
Putnam, S. P., Rothbart, M. K., & Gartstein, M. A. (2008). Homotypic and heterotypic continuity of fine-grained temperament during infancy, toddlerhood, and early childhood. Infant and Child Development, 17(6), 387405. https://doi.org/10.1002/icd Google Scholar
Quigley, K. M., & Moore, G. A. (2018). Development of cardiac autonomic balance in infancy and early childhood: A possible pathway to mental and physical health outcomes. Developmental Review, 49(February), 4161. https://doi.org/10.1016/j.dr.2018.06.004 Google Scholar
Ratti, E., Waninger, S., Berka, C., Ruffini, G., & Verma, A. (2017). Comparison of medical and consumer wireless EEG systems for use in clinical trials. Frontiers in Human Neuroscience, 11(August), 17. https://doi.org/10.3389/fnhum.2017.00398 Google Scholar
Rothbart, M. K. (2007). Temperament, development, and personality. Current Directions in Psychological Science, 16(4), 207212.Google Scholar
Shannon, K. E., Beauchaine, T. P., Brenner, S. L., Neuhaus, E., & Gatzke-Kopp, L. (2007). Familial and temperamental predictors of resilience in children at risk for conduct disorder and depression. Development and Psychopathology, 19(3), 701727. https://doi.org/10.1017/S0954579407000351 Google Scholar
Sheehan, D., Lecrubier, Y., Janavs, J., Knapp, E., & W., E. (1998). The development and validation of a structured diagnostic psychiatric interview. J Clin Psychiatry, 50(20), 2233.Google Scholar
Slomian, J., Honvo, G., Emonts, P., Reginster, J. Y., & Bruyère, O. (2019). Consequences of maternal postpartum depression: A systematic review of maternal and infant outcomes. Women’s Health, 15, 155. https://doi.org/10.1177/1745506519844044 Google Scholar
Smith, C. L., Diaz, A., Day, K. L., & Bell, M. A. (2016). Infant frontal electroencephalogram asymmetry and negative emotional reactivity as predictors of toddlerhood effortful control. Journal of Experimental Child Psychology, 142, 262273. https://doi.org/10.1016/j.jecp.2015.09.031 Google Scholar
Stein, A., Netsi, E., Lawrence, P. J., Granger, C., Kempton, C., Craske, M. G., Nickless, A., Mollison, J., Stewart, D. A., Rapa, E., West, V., Scerif, G., Cooper, P. J., & Murray, L. (2018). Mitigating the effect of persistent postnatal depression on child outcomes through an intervention to treat depression and improve parenting: A randomised controlled trial. The Lancet Psychiatry, 5(2), 134144. https://doi.org/10.1016/S2215-0366(18)30006-3 Google Scholar
Thayer, J. F., & Brosschot, J. F. (2005). Psychosomatics and psychopathology: Looking up and down from the brain. Psychoneuroendocrinology, 30(10), 10501058. https://doi.org/10.1016/j.psyneuen.2005.04.014 Google Scholar
Thayer, J. F., Hansen, A. L., Saus-Rose, E., & Johnsen, B. H. (2009). Heart rate variability, prefrontal neural function, and cognitive performance: The neurovisceral integration perspective on self-regulation, adaptation, and health. Annals of Behavioral Medicine, 37(2), 141153. https://doi.org/10.1007/s12160-009-9101-z Google Scholar
Toth, S. L., Rogosch, F. A., Manly, J. T., & Cicchetti, D. (2006). The efficacy of toddler-parent psychotherapy to reorganize attachment in the young offspring of mothers with major depressive disorder: A randomized preventive trial. Journal of Consulting and Clinical Psychology, 74(6), 10061016. https://doi.org/10.1037/0022-006X.74.6.1006 Google Scholar
Tottenham, N. (2019). Early adversity and the neotenous human brain. Biological Psychiatry, 16(4), 110. https://doi.org/10.1016/j.biopsych.2019.06.018 Google Scholar
Tronick, E., & Reck, C. (2009). Infants of depressed mothers. Harvard Review of Psychiatry, 17(2), 147156. https://doi.org/10.1080/10673220902899714 Google Scholar
Van den Bergh, B. R. H. (2011). Developmental programming of early brain and behaviour development and mental health: A conceptual framework. Developmental Medicine & Child Neurology, 53(s4), 1923.Google Scholar
Van Doesum, K. T. M., Riksen-Walraven, J. M., Hosman, C. M. H., & Hoefnagels, C. (2008). A randomized controlled trial of a home-visiting intervention aimed at preventing relationship problems in depressed mothers and their infants. Child Development, 79(3), 547561. https://doi.org/10.1111/j.1467-8624.2008.01142.x Google Scholar
Van Lieshout, R. J., Layton, H., Feller, A., Ferro, M. A., Biscaro, A., & Bieling, P. J. (2020). Public health nurse delivered group cognitive behavioral therapy (CBT) for postpartum depression: A pilot study. Public Health Nursing, 37(1), 5055. https://doi.org/10.1111/phn.12664 Google Scholar
Van Lieshout, R. J., Layton, H., Savoy, C. D., Haber, E., Feller, A., Biscaro, A., Bieling, P. J., & Ferro, M. A. (2022). Public health nurse-delivered group cognitive behavioural therapy for postpartum depression: A randomized controlled trial. Canadian Journal of Psychiatry, 1-9(6), 432440. https://doi.org/10.1177/07067437221074426 Google Scholar
Van Lieshout, R. J., Yang, L., Haber, E., & Ferro, M. A. (2017). Evaluating the effectiveness of a brief group cognitive behavioural therapy intervention for perinatal depression. Archives of Women’s Mental Health, 20(1), 225228. https://doi.org/10.1007/s00737-016-0666-9 Google Scholar
Verduyn, C., Barrowclough, C., Roberts, J., Tarrier, N., & Harrington, R. (2003). Maternal depression and child behaviour problems randomised placebo-controlled trial of a cognitive-behavioural group intervention. British Journal of Psychiatry, 183(4), 342348. https://doi.org/10.1192/bjp.183.4.342 Google Scholar
Figure 0

Figure 1. CONSORT flow diagram.

Figure 1

Table 1. Participant baseline characteristics

Figure 2

Table 2. Impact of maternal treatment on measures of infant emotion regulation