The World Health Organization recently reported that maternal mental health is a major public health concern. As many as one in four women suffer from psychiatric disorders at some point during pregnancy or the first postpartum year. Furthermore, self-injurious thoughts and behaviors (SITBs) represent one of the leading causes of death among women during this time. Thus, efforts to identify women at risk for serious forms of psychopathology and especially for SITBs are of utmost importance. Despite this urgency, current single-diagnostic approaches fail to recognize a significant subset of women who are vulnerable to perinatal stress and distress. The current study was among the first to investigate emotion dysregulation—a multilevel, transdiagnostic risk factor for psychopathology—and its associations with stress, distress, and SITBs in a sample of pregnant women (26–40 weeks gestation) recruited to reflect a range of emotion dysregulation. Both self-reported emotion dysregulation and respiratory sinus arrhythmia, a biomarker of emotion dysregulation, demonstrated expected associations with measures of mental health, including depression, anxiety, borderline personality pathology, and SITBs. In addition, self-reported emotion dysregulation was associated with blunted respiratory sinus arrhythmia responsivity to an ecologically valid infant cry task. Findings add to the literature considering transdiagnostic risk during pregnancy using a multiple-levels-of-analysis approach.
The TOMM shows promise as useful in clinical and forensic contexts to detect memory malingering among DID simulators without sacrificing specificity. Accurate distinction between genuine and feigned complex trauma-related symptoms, including dissociative memory, is integral to the accurate diagnosis of traumatized populations. (PsycINFO Database Record
Hair cortisol concentrations measured during pregnancy have emerged as a novel biomarker for prenatal stress exposure. However, associations between prenatal stress and distress, broadly defined, and hair cortisol concentrations during pregnancy are inconsistent. We examined relations among hair cortisol concentrations during the third trimester with (a) emotion dysregulation and (b) detailed measures of maternal prenatal stress. We also examined the predictive validity of maternal hair cortisol during pregnancy for adverse newborn health outcomes. Cortisol concentrations were derived from 6 cm of hair during the third trimester of pregnancy. Mothers reported on their emotion dysregulation and stress at this time. A standardized newborn neurobehavioral exam was conducted shortly after birth and newborn birth weight and gestational age were assessed from medical records. All hypotheses were preregistered on the Open Science Framework (osf.io/279ng). High levels of emotion dysregulation, but not stress, were predictive of high hair cortisol concentrations. Maternal prenatal BMI mediated the relation between maternal prenatal emotion dysregulation and hair cortisol concentrations. There was no association between hair cortisol and infant birth outcomes. This research supports the notion that transdiagnostic markers of psychopathology are important correlates of hair cortisol concentrations during pregnancy.
Ethical and consensual digital phenotyping through smartphone activity (i. e., passive behavior monitoring) permits measurement of temporal risk trajectories unlike ever before. This data collection modality may be particularly well-suited for capturing emotion dysregulation, a transdiagnostic risk factor for psychopathology, across lifespan transitions. Adolescence, emerging adulthood, and perinatal transitions are particularly sensitive developmental periods, often marked by increased distress. These participant groups are typically assessed with laboratory-based methods that can be costly and burdensome. Passive monitoring presents a relatively cost-effective and unobtrusive way to gather rich and objective information about emotion dysregulation and risk behaviors. We first discuss key theoretically-driven concepts pertaining to emotion dysregulation and passive monitoring. We then identify variables that can be measured passively and hold promise for better understanding emotion dysregulation. For example, two strong markers of emotion dysregulation are sleep disturbance and problematic use of Internet/social media (i.e., use that prompts negative emotions/outcomes). Variables related to mobility are also potentially useful markers, though these variables should be tailored to fit unique features of each developmental stage. Finally, we offer our perspective on candidate digital variables that may prove useful for each developmental transition. Smartphone-based passive monitoring is a rigorous method that can elucidate psychopathology risk across human development. Nonetheless, its use requires researchers to weigh unique ethical considerations, examine relevant theory, and consider developmentally-specific lifespan features that may affect implementation.
Emotion generation, regulation, and dysregulation are complex constructs that are challenging to define and measure. This chapter reviews prevailing definitions and theories of these constructs and examines the literature across multiple levels of analysis. It adopts a developmental perspective, which guides interpretation of the literature and helps clarify discrepant points of view. The extent to which emotion generation and regulation are separable represents a significant controversy in the field. When viewed as cognitive constructs, it is virtually impossible to disentangle emotion generation and regulation. However, at the biological level, there are important differences in neural structures involved in bottom-up emotion generation processes versus those associated with top-down regulation of emotions. From a developmental perspective, emotions and emotion dysregulation emerge early in life, whereas emotion regulation strategies develop more gradually as a function of maturation and socialization. Future research should continue to reconcile different perspectives on emotion generation, regulation, and dysregulation.
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