ABSTRACT
Young children who experience trauma and adverse experiences are at an increased risk of developing an insecure attachment style as well as negative physical and mental health problems. These can include internalizing and externalizing behavioral problems, developmental delay, emotional dysregulation, and aggression. Several evidence-based interventions exist to treat young children with symptoms related to trauma, each with different foundational theories. This article presents the case of a 4-year-old boy with posttraumatic stress disorder who was in the middle of a legal fight between caregivers and transitioning between caregivers' homes. Initially, therapy began with Child-Parent Psychotherapy to address caregivers' first concerns. Later, the therapeutical approach was switched to Parent-Child Interaction Therapy due to difficulty with treatment fidelity related to caregivers' symptoms and conflict. This case demonstrates great improvement in treatment fidelity and subsequently problem behaviors after switching to an intervention that allowed to address behavior management shortcomings in a family with ongoing conflict.Copyright © The Author(s) 2022.
ABSTRACT
Severe substance use disorders are characterized by chronic cycles of relapse;however, individuals who complete substance use treatment are less likely to experience relapse. Research has focused on trying to identify factors that predict treatment dropout to help improve treatment outcomes. Most of this research has focused on examining demographic and patient-specific factors, with little success in reliably predicting treatment attrition. There has been less focus on investigating transdiagnostic factors that span across discrete psychological diagnoses and demographics. The present study sought to determine if self-report and behavioral measures related to emotion regulation predicted inpatient substance use treatment dropout above and beyond demographic variables, and to determine if variables related to emotion regulation improved during substance use treatment. The present study included 69 male participants, 68 of whom completed the full baseline assessment. Nine participants dropped out of treatment prematurely. Of the 59 participants who remained in treatment, 49 completed follow-up data collection. No demographic or substance use-related factors emerged as predictors of treatment dropout, except for number of past substance use treatments. Self-report measures of emotion regulation, distress tolerance, urgency, and negative emotionality were also not significantly predictive of treatment dropout. Additionally, behavioral measures of distress tolerance and risky-decision making were not predictive of treatment attrition. Prior to accounting for multiple comparisons, self-reported emotion regulation and negative urgency improved between the baseline and follow-up sessions. This study was significantly underpowered due to factors related to COVID-19 impacting dropout rate. Measures to contain the spread of COVID-19 also likely compromised other aspects of data collection. While findings were not significant, most findings were in the expected direction and warrant further consideration with a larger sample size and data collection after the impact of COVID-19 has subsided. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
ABSTRACT
BACKGROUND: The healthcare field, a well-known field associated with variety of stressors, leaves healthcare professionals at an increased risk of both physical and mental problems. COVID-19 pandemic has recently been added to the stressful factors by endangering further the cognitive function of healthcare workers. On another hand, personality traits have been shown to have pervasive associations with functioning across various cognitive domains. Thus, this study aims to evaluate association between personality traits and perceived cognitive function among healthcare professionals in Lebanon during the collapsing period (following the severe economic crisis and the COVID-19 pandemic). METHODS: This cross-sectional study was conducted between November 2021 and January 2022 enrolled 406 Lebanese participants using the convenience sampling technique for data collection. Healthcare professionals from all specialties who received the online link to the survey were eligible to participate. The Big Five Inventory-2 (BFI-2) and Fact Cog scale were used to assess personality traits and cognitive function. RESULTS: After adjustment over all variables (age, gender, household crowding index, physical activity index, marital status, profession and the other four personality traits), higher negative emotionality was significantly associated with a worse cognitive function, whereas more extroversion and conscientiousness were significantly associated with a better cognitive function. CONCLUSION: Our study adds to the narrow body of research revolving around the relationship between personality traits and perceived cognitive function in Lebanese healthcare professionals during these hard times in Lebanon. These results show that the choice of these cognitive processes is strongly affected by different personality traits, such as extroversion, conscientiousness, and negative emotionality. This study encourages the need to conduct further research that assess the changes in cognition in life stressors along with personality traits.
Subject(s)
COVID-19 , Personality , Humans , Cross-Sectional Studies , Pandemics , Crowding , Family Characteristics , Cognition , Health Personnel , Delivery of Health CareABSTRACT
Psychological stress reactions to the COVID-19 pandemic are complex and multifaceted. Research provides evidence of a COVID Stress Syndrome (CSS), consisting of (1) worry about the dangerousness of getting infected with SARSCoV2 and coming into contact with infected surfaces, (2) worry concerning the personal socioeconomic consequences of COVID-19, (3) xenophobic fears that SARSCOV2 is being spread by foreigners, (4) COVID-19-related traumatic stress symptoms (e.g., nightmares), and (5) compulsive checking and reassurance-seeking about COVID-19. Little is known about how these symptoms are related to vulnerability and protective personality factors. Based on data from 1,976 US and Canadian adults, we conducted a prospective network analysis in which personality factors were initially assessed at Time 1 and then symptoms of the CSS were assessed at Time 2, 2.5 months later. Results indicated that trait optimism and trait resilience were negatively associated with negative emotionality, suggesting a modulatory (inhibitory) influence. Negative emotionality was positively linked to the narrower traits of intolerance of uncertainty and health anxiety proneness. These narrower traits, in turn, were prospectively linked to symptoms of the CSS. Results suggest that the effects of broad personality traits (e.g., negative emotionality, trait resilience) on symptoms of the CSS were mediated by narrower traits such as the intolerance of uncertainty. Treatment implications are discussed.
ABSTRACT
INTRODUCTION: CoVID-19 pandemic and the subsequent lockdown have impacted the sleep quality and the overall wellbeing of mankind. The present epidemiological study measured various aspects of sleep disturbance such as sleep quality, daytime impairments, negative emotionality, sleep hygiene, and well-being associated with CoVID-19 pandemic among the Indian population. METHODS: This cross-sectional voluntary online survey (using Google form) was communicated across the country from 4th June to 3rd July 2020 through mail and social media applications. The responses received (N = 450) were categorized and validated using the latent class analysis and logistic regression tests respectively, and the classes and subclasses derived were profiled. These techniques are used for the first time in a CoVID-19 sleep study. RESULTS: Out of the three classes derived from the LCA, people with severe dyssomnia belonging to class 1 (33.3%) showed high daytime impairments, negative emotionality and high vulnerability towards CoVID-19 pandemic measures. In addition, the two subclasses derived from the severe dyssomnia group; one with negative emotionality predominance and the other with excessive daytime sleepiness, were similarly affected by CoVID-19 measures. People with moderate dyssomnia (class 2, 28.5%) showed frequent arousals with daytime impairments and the majority (38.2%) which fell in to class 3, the 'no dyssomnia' category, were not impacted by CoVID-19 pandemic. CONCLUSION: People with existing sleep problems or those who were vulnerable to the same were the ones affected by CoVID-19 pandemic. Those with inadequate emotional coping styles have showed heightened vulnerability. Proper medical and cognitive interventions are highly recommended for this population. No or moderate dyssomnia categories (class 3 and 2 respectively) were less impacted by CoVID-19.