Clinical Outcomes of Severe Forms of Early Social Stress

Early social stress, particularly severe but nevertheless frequent forms such as abuse and neglect, are among the major risk factors for the development of mental disorders. However, we only have very limited knowledge of the psychobiological disease mechanisms underlying the influence of early life stress and stress-related disorders during this vulnerable phase of life. Early stress can have long-lasting adverse effects on the brain and other somatic systems, e.g. through influences on brain development. In adulthood, the prior experience of abuse or neglect can result in complex clinical profiles. Besides conditions such as mood and anxiety disorders as well as posttraumatic stress disorder, substance use disorders (SUD) are among the most prevalent sequelae of early social stress. Current social stress further influences the development and maintenance of these disorders, e.g., by increasing the risk of relapses. In this chapter, we will first give an overview of currently used methods to assess the phenomenology and pathophysiology of stress-related disorders and then focus on the phenomenological and neurobiological background of the interaction between early social stress and SUD. We will give an overview of important insights from neuroimaging studies and will also highlight recent findings from studies using digital tools such as ecological momentary assessment or virtual reality to capture the influence of early social stress as well as current social stress in everyday life of persons with SUD.

Dynamic networks of PTSD symptoms during conflict

BACKGROUND

Conceptualizing posttraumatic stress disorder (PTSD) symptoms as a dynamic system of causal elements could provide valuable insights into the way that PTSD develops and is maintained in traumatized individuals. We present the first study to apply a multilevel network model to produce an exploratory empirical conceptualization of dynamic networks of PTSD symptoms, using data collected during a period of conflict.

METHODS

Intensive longitudinal assessment data were collected during the Israel-Gaza War in July-August 2014. The final sample (n = 96) comprised a general population sample of Israeli adult civilians exposed to rocket fire. Participants completed twice-daily reports of PTSD symptoms via smartphone for 30 days. We used a multilevel vector auto-regression model to produce contemporaneous and temporal networks, and a partial correlation network model to obtain a between-subjects network.

RESULTS

Multilevel network analysis found strong positive contemporaneous associations between hypervigilance and startle response, avoidance of thoughts and avoidance of reminders, and between flashbacks and emotional reactivity. The temporal network indicated the central role of startle response as a predictor of future PTSD symptomatology, together with restricted affect, blame, negative emotions, and avoidance of thoughts. There were some notable differences between the temporal and contemporaneous networks, including the presence of a number of negative associations, particularly from blame. The between-person network indicated flashbacks and emotional reactivity to be the most central symptoms.

CONCLUSIONS

This study suggests various symptoms that could potentially be driving the development of PTSD. We discuss clinical implications such as identifying particular symptoms as targets for interventions.

Psychophysiological Assessment of Social Stress in Natural and Laboratory Situations

Abstract. Experience sampling and psychophysiological ambulant assessment methods were employed to compare reactions to social stress using a laboratory stressor (The Trier Social Stress Test [TSST]) or a corresponding real-life condition (seminar presentation). Stress reactions were assessed by self-report as well as additional heart rate (AHR, i.e., heart rate increases corrected for physical activity and initial values) and were compared to a control condition in each group. Twenty-five participants gave a talk in a university seminar course and twenty-two participants took part in the TSST. The TSST elicited a greater overall physiological stress reaction as compared to the seminar presentation. However, analyses of dynamic AHR levels revealed that the groups of speakers showed different response profiles during the time course of the stress situations. AHR levels of both groups were similar at the beginning of the free speech. During the course of their presentation, seminar speakers downregulated their arousal level. The arousal level of TSST participants showed a further increase in the later portion of the TSST during the mental arithmetic task. Thus, the more prominent overall physiological stress reaction during the TSST as compared to the seminar presentation appeared to depend on different demand characteristics rather than on differences of laboratory versus real-life situations per se. The experience of emotional strain was greater in response to the social stressors than in response to control situations in both the TSST and seminar speaker group with no differential effects of the experimental setting (laboratory vs. real life). During the TSST procedure, salivary cortisol concentrations were also assessed. Significant correlations of AHR with cortisol level and subjective experience indicate that AHR measurement provides a valid psychophysiological indicator of social stress. These findings suggest that ambulatory assessment techniques successfully contribute to the validation of a common social stress task.

Unstimulated cortisol secretory activity in everyday life and its relationship with fatigue and chronic fatigue syndrome: a systematic review and subset meta-analysis

The hypothalamic-pituitary-adrenal (HPA) axis is a psychoneuroendocrine regulator of the stress response and immune system, and dysfunctions have been associated with outcomes in several physical health conditions. Its end product, cortisol, is relevant to fatigue due to its role in energy metabolism. The systematic review examined the relationship between different markers of unstimulated salivary cortisol activity in everyday life in chronic fatigue syndrome (CFS) and fatigue assessed in other clinical and general populations. Search terms for the review related to salivary cortisol assessments, everyday life contexts, and fatigue. All eligible studies (n=19) were reviewed narratively in terms of associations between fatigue and assessed cortisol markers, including the cortisol awakening response (CAR), circadian profile (CP) output, and diurnal cortisol slope (DCS). Subset meta-analyses were conducted of case-control CFS studies examining group differences in three cortisol outcomes: CAR output; CAR increase; and CP output. Meta-analyses revealed an attenuation of the CAR increase within CFS compared to controls (d=-.34) but no statistically significant differences between groups for other markers. In the narrative review, total cortisol output (CAR or CP) was rarely associated with fatigue in any population; CAR increase and DCS were most relevant. Outcomes reflecting within-day change in cortisol levels (CAR increase; DCS) may be the most relevant to fatigue experience, and future research in this area should report at least one such marker. Results should be considered with caution due to heterogeneity in one meta-analysis and the small number of studies.

Daily mood and out-of-home mobility in older adults: does cognitive impairment matter?

This study explores the relationship between out-of-home behavior and daily mood of community-dwelling older adults with different levels of cognitive impairment across four consecutive weeks. The sample included 16 persons with early stage Alzheimer's disease (AD), 30 persons with mild cognitive impairment (MCI), and 95 cognitively healthy persons (CH). Using a multi-method approach, GPS tracking and daily-diary data were combined on a day-to-day basis. AD and MCI adults showed lower mood than the CH group. Whereas stronger positive links between mood and out-of-home behavior were found for AD compared to the total sample on an aggregate level, predicting daily mood by person (i.e., cognition) and occasion-specific characteristics (i.e., mobility and weekday), using multilevel regression analysis revealed no corresponding effect. In conclusion, cognitive status in old age appears to impact on mobility and mood as such, rather than on the mood and out-of-home behavior connection.

Analysis of GlucoMen®Day: a novel microdialysis-based continuous glucose monitor

In this issue of Journal of Diabetes Science and Technology, Valgimigli and colleagues present promising data on the clinical accuracy of the new microdialysis-based continuous glucose monitoring device GlucoMen®Day. In this analysis, two issues are addressed: first, the established way data analyses may obscure interindividual variability in terms of a glucose monitoring system's accuracy; and second, to fully appreciate the future merits of the new system, data on accuracy, while a clearly necessary prerequisite, are not sufficient and need to be augmented by patient-reported outcome data as highlighted by recent U.S. Food and Drug Administration guidelines.