Psychophysiological assessment of stress reactivity and recovery in anxiety disorders

Respiratory Sinus Arrhythmia-Common and Distinct Mechanisms of Emotional Adjustment in the Depressive and Anxiety Disorders Spectrum?

Respiratory sinus arrhythmia (RSA) reflects the activity of a cortico-limbic control system, enabling the flexible regulation of cardiac output via the parasympathetic nervous system. We assessed two markers of RSA, that is resting RSA (rRSA) and RSA reactivity (ΔRSA) and evaluated their common and distinct role for regulating emotional reactivity across depressive and anxiety disorders and their treatments. We recruited samples of healthy controls and patients with anxiety and depressive disorders, assessed rRSA during baseline and ΔRSA as RSA change from baseline to viewing emotional films. Patients then underwent disorder-specific cognitive behavior therapy. Although both patient groups exhibited lower rRSA than controls, depression-but not anxiety-symptomatology was transdiagnostically associated with less rRSA and ΔRSA. Complementing these depression-specific results, better ΔRSA predicted better treatment outcome in depression, but not anxiety. Our data confirm RSA as a transdiagnostic marker for mood and anxiety, support recent attempts toward transdiagnostic, dimensional classification systems (HiToP, RDoC) and provide evidence for a more robust association of RSA with depression symptomatology and treatment. This renders rRSA and ΔRSA potential markers to assess common and distinct mechanisms associated with depression and anxiety.

Stressor-evoked heart rate, perceived physiological arousal, and anxiety symptoms in young adults

BACKGROUND

Acute psychological stress is associated with increases in heart rate (HR) and state anxiety. Stressor-evoked perceived HR changes relate more strongly to state anxiety than actual HR reactivity. However, research has yet to examine these associations in the context of general anxiety symptoms.

METHODS

Participants (N = 160) completed a resting baseline period followed by a standardized acute psychological stress task; HR was recorded throughout. After the stress task, participants rated their perceived stressor-evoked physiological arousal and anxiety intensity. Participants also completed a general anxiety symptoms measure ~17 days later.

RESULTS

The a priori hypothesized model demonstrated a good fit to the data, χ2 (59) = 93.15, p = .003; CFI = 0.94; TLI = 0.91; SRMR = 0.05; RMSEA = 0.06 (90 % CI = 0.04-0.08). After controlling for covariates, perceived physiological arousal was positively related to both cognitive and somatic anxiety. In turn, only somatic anxiety was positively associated with general anxiety symptoms. Perceived physiological arousal was related to general anxiety symptoms through state somatic anxiety. HR reactivity was not statistically significantly associated with either cognitive or somatic anxiety.

LIMITATIONS

The study was correlational, which limits the ability to determine causation.

CONCLUSIONS

Perceived HR, rather than actual HR, is more closely associated with anxiety intensity during acute psychological stress. Stressor-evoked perceived HR and general anxiety symptoms are related indirectly through stressor-evoked somatic anxiety intensity. The findings have implications for elucidating the mechanisms of the stress-anxiety relationship.

Psychophysiological stress response, emotion dysregulation and sleep parameters as predictors of psychopathology in adolescents and young adults

BACKGROUND

Increased emotional reactivity to stress, emotional dysregulation and sleep disturbances are interdependent trans-diagnostic processes that are present in internalising disorders such as depression and anxiety disorders. This study investigated which objective and subjective parameters of stress reactivity, sleep and emotional processing would predict symptoms of anxiety and depression in adolescents and young adults.

METHODS

Participants were adolescents and young adults between the ages of 14 to 21 (N = 106, 25[24 %] male, M age = 17.93). Heart rate, heart rate variability, and subjective stress levels were measured before, during and after a stress induction using the Trier Social Stress Test (TSST). Questionnaires on internalising symptoms, emotion dysregulation, and sleep quality were used. For seven consecutive nights, objective sleep parameters were measured with a wearable device.

RESULTS

Heart rate and heart rate variability after (but not during) the stress induction and emotion dysregulation predicted depressive and anxiety symptoms. Lower subjective sleep quality (but not the objective sleep parameters) was associated with depressive and anxiety symptoms. Emotion dysregulation mediated the relationship between sleep quality and depressive symptoms.

LIMITATIONS

A cross-sectional design, no measurement of daily activity or naps, and only self-report measures of depressive and anxiety symptoms as well as emotion dysregulation.

CONCLUSION

The findings of elevated cardiovascular activation after - but not during - the stress induction and emotion dysregulation underlines problems in regulating and recovering from stress as predictors of youth internalising psychopathology. Differences between subjective and objective measures of sleep and stress reactivity suggests a role of cognitive biases in these domains.

Changes and persistence in heart rate variability before and during social stress: A comparison of individuals with and without social anxiety disorder

Individuals with social anxiety disorder (SAD) experience significant and persistent fear of social situations as they anticipate rejection, scrutiny, and embarrassment. Given that physiological reactions to social situations may shape emotional experience in SAD, understanding psychophysiological changes operating in SAD may be important to address this potentially key perpetuating factor. This study compared the patterns of change (via contrasts of estimated marginal means) and persistence (via autoregressive models) of two indices of heart rate variability (HRV; Root Mean Square of Successive Differences between normal heartbeats, and High-Frequency absolute units) as physiological measures of emotion regulation, between individuals with SAD (n = 94) and without (n = 59) using the Trier Social Stress Test phases (TSST). Results revealed that the SAD group increased their need to regulate their emotions (peak HRV) during the preparation (i.e., anticipation) phase, particularly among women, whereas HRV peaked for the non-SAD group during the social-evaluative context. The SAD group's increase in HRV in the preparation phase, relative to non-SAD group, was the opposite of the hypothesised effect. The non-SAD group demonstrated no significant persistence of HRV between some TSST phases, whereas the SAD group showed significant persistence across all phases, however no between-group differences were found. These findings provide novel evidence of similarities and differences in HRV between individuals with and without SAD while anticipating and encountering social-evaluative contexts.

The Relations Between Sensory Modulation, Hyper Arousability and Psychopathology in Adolescents with Anxiety Disorders

BACKGROUND

Sensory modulation may play a significant role in psychiatric conditions, including anxiety, and explain arousability levels, behavioral disorders, and functional deficits. Yet, studies about sensory modulation in adolescents with anxiety disorders are scarce.

PURPOSE

To profile the prevalence of sensory modulation difficulties (SMDs) in adolescents with anxiety and examine their relations to arousability and psychopathology. The study compared adolescents with anxiety disorders to healthy controls using physiological measures and self-reports that reflect daily life scenarios. Then, the study examined the relationship between SMDs, arousability, and psychopathological severity in the study group.

METHOD

Participants were 106 adolescents, aged 10.5-18 years and their parents. The study group included 44 participants diagnosed with anxiety disorder by psychiatrists. The control group included 62 healthy participants matched by age and gender to the study group. Parents completed the demographic questionnaire and the Child Behavior Checklist (CBCL). The adolescents completed The Revised Children's Manifest Anxiety Scale (RCMAS) and the Adolescent/Adult Sensory Profile (AASP) and underwent the electrodermal activity (EDA) and pulse rate tests while listening to extreme sensory stimuli of auditory startles.

RESULTS

Based on AASP, the study group had a higher prevalence of SMDs expressed in lower sensory seeking, difficulties in registering sensory stimuli, and higher sensory sensitivity and avoidance. The study group presented higher arousability while listening to the startles as manifested in higher heart rate and EDA responses. The physiological results correlated with SMD levels measured by the AASP self-reports. SMDs correlated with psychopathological severity.

CONCLUSIONS

SMDs may characterize adolescents with anxiety disorders and impact their arousability, symptoms severity, and daily functioning. Therefore, sensory modulation should be evaluated using both self-reports (to reflect implications in real life from patients' own voices) along with objective measures to explain daily behaviors by underlying physiological mechanisms. This may focus intervention towards better health, function, and development.

Automated classification of stress and relaxation responses in major depressive disorder, panic disorder, and healthy participants via heart rate variability

Background

Stress is a significant risk factor for psychiatric disorders such as major depressive disorder (MDD) and panic disorder (PD). This highlights the need for advanced stress-monitoring technologies to improve treatment. Stress affects the autonomic nervous system, which can be evaluated via heart rate variability (HRV). While machine learning has enabled automated stress detection via HRV in healthy individuals, its application in psychiatric patients remains underexplored. This study evaluated the feasibility of using machine-learning algorithms to detect stress automatically in MDD and PD patients, as well as healthy controls (HCs), based on HRV features.

Methods

The study included 147 participants (MDD: 41, PD: 47, HC: 59) who visited the laboratory up to five times over 12 weeks. HRV data were collected during stress and relaxation tasks, with 20 HRV features extracted. Random forest and multilayer perceptron classifiers were applied to distinguish between the stress and relaxation tasks. Feature importance was analyzed using SHapley Additive exPlanations, and differences in HRV between the tasks (ΔHRV) were compared across groups. The impact of personalized longitudinal scaling on classification accuracy was also assessed.

Results

Random forest classification accuracies were 0.67 for MDD, 0.69 for PD, and 0.73 for HCs, indicating higher accuracy in the HC group. Longitudinal scaling improved accuracies to 0.94 for MDD, 0.90 for PD, and 0.96 for HCs, suggesting its potential in monitoring patients' conditions using HRV. The HC group demonstrated greater ΔHRV fluctuation in a larger number of and more significant features than the patient groups, potentially contributing to higher accuracy. Multilayer perceptron models provided consistent results with random forest, confirming the robustness of the findings.

Conclusion

This study demonstrated that differentiating between stress and relaxation was more challenging in the PD and MDD groups than in the HC group, underscoring the potential of HRV metrics as stress biomarkers. Psychiatric patients exhibited altered autonomic responses, which may influence their stress reactivity. This indicates the need for a tailored approach to stress monitoring in these patient groups. Additionally, we emphasized the significance of longitudinal scaling in enhancing classification accuracy, which can be utilized to develop personalized monitoring technologies for psychiatric patients.

Anxiety is related to slower RSA oscillation during stress response and regulation

Respiratory sinus arrhythmia (RSA), an index of the parasympathetic nervous system activity, has been considered indicative of stress response and emotion regulation. However, the relationship between RSA and anxiety remains inconclusive, partly because previous research has primarily focused on static RSA levels. In this nonclinical sample (N = 75, Mage = 20.89 ± 1.72 SD, 48 males), we used a damped oscillator model to characterize RSA dynamics across 30-s epochs while participants completed the Trier social stress test. Results showed that RSA constantly oscillated during the three periods of TSST (namely Rest, Stress, and Recovery). Importantly, slower RSA oscillation in the Stress period was related to elevated state anxiety, whereas in the Recovery period, it was related to higher trait anxiety. These findings demonstrated the dynamic nature of RSA during the whole course of stress response. Slower RSA oscillation may indicate inflexible and tardy physiological regulation which may give rise to anxiety issues.

A multifaceted approach to identifying and managing juvenile delinquency by integrating psycho-physiological indicators

To understand and treat juvenile delinquency, the study explores the relevance of psycho-physiological indicators. It also emphasizes the necessity for thorough research to minimize the gap existing between psycho-physiological measurements and conventional psychosocial components. The study focuses on the relevance of personality features, habituation, and autonomic arousal required to monitor the proper management of delinquent conduct. Through the integration of biological, psychological, and social elements into a multidimensional approach, researchers can uncover novel insights and create cutting-edge therapies for youths who are at risk of delinquent behavior. The study proposes to develop a comprehensive framework that considers biological antecedents in addition to conventional metrics to reach the root cause of delinquency; thereby drawing special attention to current literature and research that emphasizes the psycho-physiological correlates of delinquency. By examining the complex interactions between stress, physiology, emotions, behavior, and social structures, the study highlights the intricacy of delinquent conduct and the necessity for adopting a multifaceted strategy to fully address the problematic areas. Future research paths are emphasized, with a focus on the significance of longitudinal studies, moderating and mediating variables, and creative treatment techniques. By utilizing psycho-physiological markers and psychosocial traits, researchers can tailor intervention strategies to meet individual needs effectively. Early identification of psycho-physiological deficits in children is crucial for implementing successful behavior modification techniques and promoting the well-being of future generations. This is expected to help the government agencies to save time and public money.

Treatment condition as a moderator and change in trait mindfulness as a mediator of a brief mindfulness ecological momentary intervention for generalized anxiety disorder

BACKGROUND

Theories propose that judgment of and reactivity to inner experiences are mediators of the effect of mindfulness-based interventions on generalized anxiety disorder (GAD). However, no study has tested such theories using brief, mindfulness ecological momentary intervention (MEMI). We thus tested these theories using a 14-day MEMI versus self-monitoring app (SM) control for GAD.

METHODS

Participants (N = 110) completed self-reports of trait mindfulness (Five Facet Mindfulness Questionnaire), GAD severity (GAD-Questionnaire-IV), and trait perseverative cognitions (Perseverative Cognitions Questionnaire) at prerandomization, posttreatment, and 1-month follow-up (1MFU). Counterfactual mediation analyses with temporal precedence were conducted.

RESULTS

Improvement in pre-post mindfulness domains (acceptance of emotions, describing feelings accurately, acting with awareness, judgment of inner experience, and reactivity to inner experience) predicted pre-1MFU reduction in GAD severity and pre-1MFU reduction in trait perseverative cognitions from MEMI but not SM. MEMI reduced pre-post reactivity to inner experiences (but not other mindfulness domains) significantly more than SM. Only reduced pre-post reactivity significantly mediated stronger efficacy of MEMI over SM on pre-1MFU reductions in GAD severity (indirect effect: β = -2.970 [-5.034, -0.904], p = .008; b path: β = -3.313 [-6.350, -0.276], p = .033; percentage mediated: 30.5%) and trait perseverative cognitions (indirect effect: β = -0.153 [-0.254, -0.044], p = .008; b path: β = -0.145 [-0.260, -0.030], p = .014; percentage mediated: 42.7%). Other trait mindfulness domains were non-significant mediators.

CONCLUSIONS

Reactivity to inner experience might be a mindfulness-based intervention change mechanism and should be targeted to optimize brief MEMIs for GAD.

Autonomic reactivity during acute social stress: exploratory investigation of an interaction by threat interpretation bias and emotion regulation difficulties

Objective: This preliminary study examined the interactive influences of interpretation bias and emotion dysregulation in predicting autonomic stress response.Methods: Participants (N = 72 college students; ages 18-25, 70% female, 47% Hispanic/Latinx), completed a performance-based assessment of threat interpretation bias and self-report measures of emotion regulation difficulties. Electrodermal activity (EDA; skin conductance level) was collected while participants completed a standardized psychosocial stressor task.Results: Interpretation bias and emotion regulation difficulties interacted to predict EDA trajectories (β = 0.054, SE = .001, CI:.007, .002, p < .001) during acute stress: presence of either interpretation bias toward threat (β = 6.950, SE = 2.826, CI: 1.407, 12.488, p = .013) or emotion regulation difficulties (β = 9.387, SE = 3.685, CI: 2.141, 16.636, p = .011) was associated with greater reactivity and poorer recovery; presence of both was associated with the lowest resting state EDA and blunted reactivity (β = 1.340, SE = 3.085, CI: -4.721, 7.407, p = .66).Conclusions: Preliminary findings support interpretation bias and emotion regulation difficulties, and their distinct interactive patterns, as predictors of autonomic reactivity trajectories during stress. Interpretation bias modification and emotion regulation skills may be important intervention targets for common psychological conditions that are influenced by aberrant psychophysiological processes.

Heart rate variability: Evaluating a potential biomarker of anxiety disorders

Establishing quantifiable biological markers associated with anxiety will increase the objectivity of phenotyping and enhance genetic research of anxiety disorders. Heart rate variability (HRV) is a physiological measure reflecting the dynamic relationship between the sympathetic and parasympathetic nervous systems, and is a promising target for further investigation. This review summarizes evidence evaluating HRV as a potential physiological biomarker of anxiety disorders by highlighting literature related to anxiety and HRV combined with investigations of endophenotypes, neuroimaging, treatment response, and genetics. Deficient HRV shows promise as an endophenotype of pathological anxiety and may serve as a noninvasive index of prefrontal cortical control over the amygdala, and potentially aid with treatment outcome prediction. We propose that the genetics of HRV can be used to enhance the understanding of the genetics of pathological anxiety for etiological investigations and treatment prediction. Given the anxiety-HRV link, strategies are offered to advance genetic analytical approaches, including the use of polygenic methods, wearable devices, and pharmacogenetic study designs. Overall, HRV shows promising support as a physiological biomarker of pathological anxiety, potentially in a transdiagnostic manner, with the heart-brain entwinement providing a novel approach to advance anxiety treatment development.

Cardioautonomic lability assessed by heart rate variability changes in Royal Canadian Mounted Police cadets during the cadet training program

Objective

The current study examined variations in cardioautonomic lability during the Royal Canadian Mounted Police (RCMP) Cadet Training Program (CTP) between cadets starting their training who did or did not screen positive for one or more mental health disorders (i.e., posttraumatic stress disorder [PTSD], major depressive disorder [MDD], social anxiety disorder [SAD], generalized anxiety disorder [GAD], panic disorder [PD], alcohol use disorder [AUD]).

Methods

Electrocardiogram (ECG) signals integrated into Hexoskin garments were used to record ECG and heart rate Over the 26-week CTP. There were 31 heart rate variability (HRV) parameters calculated using Kubios Premium HRV analysis software. Mann-Whitney U-tests were used to perform groupwise comparisons of participant raw values and HRV during the CTP.

Results

A total of 157 cadets (79% male) were screened for any mental disorder using self-report surveys and then grouped by positive and negative screening. Analyses indicated a statistically significant (p < 0.05) decrease in low frequency (LF): High Frequency (HF) variability during CTP, but only for cadets who endorsed clinically significant anxiety symptoms on the GAD-7 at the start of their training. There were no other statistically significant groupwise differences.

Conclusion

The results indicate the participants have excellent cardiac health overall and suggest potentially important differences between groups, such that cadets who endorsed clinically significant anxiety symptoms on the GAD-7 showed less variability in the LF:HF ratio over the course of the CTP. The relatively lower variability suggests decreased parasympathetic tone in those without clinically significant anxiety symptoms. The results also have important implications for future investigations of cardioautonomic dysfunction and chronic hypothalamic pituitary adrenal (HPA) axis deviations in policing populations with anxiety disorders; specifically, cardioautonomic inflexibility related to cardiovascular morbidity and mortality. In any case, the current results provide an important baseline for future cardiac research with cadets and serving officers.

Tracking perceived stress, anxiety, and depression in daily life: a double-downward spiral process

Introduction

Previous studies using retrospective questionnaires have suggested a complex relationship between perceived stress and related negative emotions and emphasized their importance in mental health. However, how daily perceived stress, anxiety, and depression interact dynamically in a natural context remains largely unexplored.

Methods

This study conducted a longitudinal survey that applied experience sampling methodology to data from 141 Chinese college students (58% women, mean age = 20.1 ± 1.63 years).

Results

The hierarchical linear models confirmed that daily perceived stress and negative emotions (i.e., perceived depression and anxiety) could reciprocally reinforce one another with the characteristic dynamics of a cognitive-emotional downward spiral. Additionally, anxiety and depression could further circularly aggravate each other imminently. These two intertwined downward-spiral processes constitute a double-downward-spiral model.

Discussion

The findings contribute to a better understanding of the interactive mechanisms underlying perceived stress and its related negative emotions in everyday life and highlight the significance of early emotion regulation and stress relief in healthy people.

Serum metabolomics study of anxiety disorder patients based on LC-MS

BACKGROUND

In the current environment of increasing social pressure, anxiety disorder has become a kind of health problem that needs to be solved urgently. However, the pathological mechanism of anxiety is still unclear, the classification of clinical diagnosis and symptoms is complex, and there is still a lack of biomarkers that can be identified and judged.

METHODS

This study used LC-MS and non-targeted metabolomics to analyze the clinically collected plasma of 18 samples from anxiety disorder patients and 31 samples from healthy people to screen differential metabolites and perform subsequent metabolic pathway analysis. Binary Logistic regression was used to construct the anxiety disorder diagnosis prediction model and evaluate the prediction efficacy.

RESULTS

The results showed that 22 metabolites were disturbed in the plasma of anxiety patients compared with healthy people. These metabolites mainly participate in 6 metabolic pathways. The combined diagnostic factors 4-Acetamidobutanoate, 3-Hydroxysebacic acid, and Cytosine were used to construct the diagnosis prediction model. The prediction probability of the model is 91.8%, the Youden index is 0.889, the sensitivity is 0.889, and the specificity is 1.000, so the prediction effect is good.

CONCLUSIONS

This study preliminarily analyzed and explored the differences between plasma samples from patients with anxiety disorder and healthy individuals, increased the types of potential biomarkers for anxiety disorder, and provided a valuable reference for subsequent research related to anxiety disorder.

Validity and Reliability of the Anxiety Assessment Scale: A New Three-dimensional Perspective

Objective:

Anxiety is inseparable from life due to its survival value. Up-to-date and multidimensional assessment of anxiety is necessary to develop effective interventions to cope with high anxiety levels. This study was conducted to examine the psychometrics of the Anxiety Assessment Scale (AAS).

Methods:

Data were collected between January and April 2021 from 756 students (42.9% males and 57.1% females) studying medicine at Istanbul Medeniyet University. Seven experts evaluated the items to detect content validity in the final application form. Both exploratory and confirmatory factor analyses (EFA and CFA) were used for construct validity. The Beck Anxiety Inventory was also applied for concurrent validity. Test-retest reliabilities were calculated within four weeks. IBM SPSS 25 and AMOS 24 were used for statistical analyses.

Results:

Data were suitable for factor analyses (Kaiser-Meyer-Olkin=0.800, chi-square=3018.854, df=45). The EFA showed the three-factor structure with 10 items, and 70.1% of the variance was explained. Factor loads of the items varied between 0.61 and 0.87; data-model fit was suitable (CFI=0.92, TLI=0.93, RMSEA=0.059, SRMR=0.046, chi-square/df=1.556) according to CFA. Concurrent scale validity was also confirmed by the Pearson correlation (r=0.167, p<0.01). The test-retest reliabilities (r) were all >0.5 (p<0.001). The Cronbach a coefficients were 0.845 (AAS), 0.770 (Physiological Tension=PT), 0.822 (Worrying=W), and 0.838 (Feeling Unsafe=FU).

Conclusions:

AAS is a reliable and valid measurement instrument to assess anxiety levels in three dimensions. AAS can be applied for research, psychological assessment, and other appropriate application purposes.

On the Measurement of Climate Change Anxiety: French Validation of the Climate Anxiety Scale

The notion of climate change anxiety has gained traction in the last years. Clayton & Karazsia (2020) recently developed the 22-item Climate Change Anxiety Scale (CAS), which assesses climate change anxiety via a four-factor structure. Yet other research has cast doubts on the very structure of the CAS by calling either for a shorter (i.e. 13 items) two-factor structure or for a shorter single-factor structure (i.e. 13 items). So far, these three different models have not yet been compared in one study. Moreover, uncertainty remains regarding the associations between the CAS and other psychological constructs, especially anxiety and depression. This project was designed to overcome these limitations. In a first preregistered study (n = 305), we translated the scale into French and tested, via confirmatory factor analyses (CFA), whether the French version would better fit with a four-, two-, or single-factor structure, as implied by previous works. We also examined how the CAS factors related to depression, anxiety, and environmental identity. In a second preregistered study, we aimed at replicating our comparison between the three CFA models in a larger sample (n = 905). Both studies pointed to a 13-item version of the scale with a two-factor structure as the best fitting model, with one factor reflecting cognitive and emotional features of climate change anxiety and the other reflecting the related functional impairments. Each factor exhibited a positive association with depression and environmental identity but not with general anxiety. We discuss how this two-factor structure impacts the conceptualization of climate change anxiety.

Maternal Mental Health and Parenting Stress and Their Relationships to Characteristics of the Child With Fragile X Syndrome

Although previous research supports the notion that characteristics of both the child and the mother impact maternal well-being and parenting stress in mothers of children with FXS, more work is needed in which self-report measures are supplemented by physiological measures of stress and well-being. The inclusion of physiological measures, such as heart rate variability (HRV), may provide a window into the biological origins and consequences of maternal perceptions of their experiences, including the challenges of raising a child with developmental challenges. The proposed project, therefore, involved the collection of multimodal assessment data from mothers and their school-aged children with FXS. Further, given the importance of understanding how mothers of youth with FXS are faring in their everyday environment, the present study collected all data using telehealth procedures and wearable technology. Participants were 20 biological mothers and their children with FXS between the ages of 6 and 11 years. We measured maternal mental health and parenting stress through self-report as well as through HRV as a more objective measure of psychological well-being. We also examined the associations between these variables and child characteristics such as externalizing and internalizing behaviors as well as autism symptomatology. We found significant support for an elevated rate of depressive symptoms in the sample of mothers (35%) and some potential indicators for heightened rates of anxiety (15%) when compared to normed samples and rates in the general population. We also found that the mothers presented with an atypical HRV profile akin to those experiencing depression or chronic stress, although limitations of the present measure suggest the need for additional confirmatory research. Further, we found that child externalizing behaviors were the primary correlates of maternal well-being. These findings contribute to the growing body of literature regarding the unique challenges faced by these mother-child dyads and supports the importance of increasing the availability of services available to these mothers, not only for meeting the needs of their children's development and behavior, but in supporting their own well-being as well.