The present review examines the relations between sleep disturbance and anxiety in children and adolescents. The review begins with a detailed discussion of normative developmental trends in sleep, and the relation between sleep quality and emotion dysregulation in children. The extant literature on sleep disturbance in clinically anxious children with a focus on subjective versus objective measures of sleep is then summarized in detail. Finally, a review of the reciprocal relationship between sleep and emotion regulation is provided. The available research suggests that sleep disturbance is quite prevalent in children with anxiety disorders, although the directionality of the association between sleep disturbance and anxiety in children remains unclear. Despite this limitation, a reciprocal relationship between sleep quality and anxiety appears to be well established. Research using objective measures of sleep quality (e.g. polysomnography, sleep actigraphy, sleep bruxism) is warranted to better understand this relation. Further, complicating factors such as the environment in which sleep quality is measured, the developmental stage of participants, varying severity of anxiety and the timeframe during which assessment takes place should all be considered when examining sleep disturbance in this population.

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This study investigated whether specific peritraumatic emotions differentially predict PTSD symptom clusters in individuals who have experienced stressful life events. Hypotheses were developed based on the SPAARS model of PTSD. It was predicted that the peritraumatic emotions of anger, disgust, guilt, and fear would significantly predict re-experiencing and avoidance symptoms, while only fear would predict hyperarousal. Undergraduate students (N = 144) participated in this study by completing a packet of self-report questionnaires. Multiple regression analyses were conducted with PCL-S symptom cluster scores as dependent variables and peritraumatic fear, guilt, anger, shame, and disgust as predictor variables. As hypothesized, peritraumatic anger, guilt, and fear all significantly predicted re-experiencing. However, only fear predicted avoidance, and anger significantly predicted hyperarousal. Results are discussed in relation to the theoretical role of emotions in the etiology of PTSD following the experience of a stressful life event.

Forms of cognitive and behavioral therapies (CBTs), including prolonged exposure and cognitive processing therapy, have been empirically validated as efficacious treatments for posttraumatic stress disorder (PTSD). However, the assumption that PTSD develops from dysregulated fear circuitry possesses limitations that detract from the potential efficacy of CBT approaches. An analysis of these limitations may provide insight into improvements to the CBT approach to PTSD, beginning with an examination of negative affect as an essential component to the conceptualization of PTSD and a barrier to the implementation of CBT for PTSD. As such, the literature regarding the impact of negative affect on aspects of cognition (i.e., attention, processing, memory, and emotion regulation) necessary for the successful application of CBT was systematically reviewed. Several literature databases were explored (e.g., PsychINFO and PubMed), resulting in 25 articles that met criteria for inclusion. Results of the review indicated that high negative affect generally disrupts cognitive processes, resulting in a narrowed focus on stimuli of a negative valence, increased rumination of negative autobiographical memories, inflexible preservation of initial information, difficulty considering counterfactuals, reliance on emotional reasoning, and misinterpretation of neutral or ambiguous events as negative, among others. With the aim to improve treatment efficacy of CBT for PTSD, suggestions to incorporate negative affect into research and clinical contexts are discussed.

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These data have promising implications for the reach of Web-based resources to both rural and urban/suburban communities, as well as the willingness of adolescents and their caregivers to access and complete such resources, regardless of geographical location.

The present study partially replicates and then expands on the work of Boals and Schuettler (2009) by evaluating the relationship between Criterion A, peritraumatic emotions, and posttraumatic stress disorder (PTSD) symptoms. Self-report measures were used to determine the presence or absence of the event Criteria A1 and A2, PTSD symptoms, and intensity of various types of emotions during a past event. Criterion A2 emotions were associated with higher levels of PTSD symptoms regardless of the presence or absence of a specific Criterion A1 event. Non-A1 events were associated with higher ratings of PTSD symptoms compared with A1 events; however, this effect for Criterion A1 no longer remained significant when time since the event was included as a statistical control. Finally, peritraumatic anger and guilt were significant predictors of PTSD symptoms above and beyond Criterion A2 while controlling for gender, negative affect, and months since the event.

A pair of quantitative case studies is presented to demonstrate how different approaches to quantifying temporal variability in ratings of traits and affect can provide rich information for personality researchers. Data are presented and analyzed from two college students who completed an Ecological Momentary Assessment protocol sampling ratings of affect and traits up to 24 times daily for one week. Both classical and nonlinear data analytic techniques were applied to the data to summarize and examine the temporal dynamics of both traits and affect. For the purposes of exposition, one Big Five trait rating, extraversion, and the PANAS positive and negative affects, are discussed. The results support previous research demonstrating a high degree of variability in ratings of both traits and affect over time. Analyses using nonlinear and complexity expand on these findings and suggest temporal patterning as well as disorder; implications of phase portraits for understanding variability are discussed. The findings are discussed in light of a processing dynamics approach to resolving the role of variability in understanding personality.