Psychiatry Int., Volume 3, Issue 2 (June 2022) – 6 articles

The combination of statistical learning technologies with large databases of psychophysiological data has appropriately generated enthusiastic interest in future clinical applicability. It is argued here that this enthusiasm should be tempered with the understanding that significant obstacles must be overcome before the systematic introduction of psychophysiological measures into neuropsychiatric practice becomes possible. The objective of this study is to identify challenges to this effort. The nonspecificity of psychophysiological measures complicates their use in diagnosis. Low test-retest reliability complicates use in longitudinal assessment, and quantitative psychophysiological measures can normalize in response to placebo intervention. Ten cautionary observations are introduced and, in some instances, possible directions for remediation are suggested. Full article

In recent decades, the United States has seen a substantial increase in the number of people diagnosed with substance use disorder (SUD). Both SUDs and COVID-19 separately have had, and continue to have, a widespread impact on our society. While they are two distinct entities, they are intricately related and have been shown to influence one another. Lockdown mandates intended to enhance public safety produced unintended consequences for people with SUDs by decreasing access to treatment and disrupting their current care. Telehealth could offer a solution to this disruption as its utilization expands the provider’s reach and increases access to treatment in underserved populations, including those with SUDs. The use of telemedicine seems to result in higher rates of patient satisfaction, compliance, and treatment retention rates while maintaining the need for social distancing. Even when pandemic restrictions resolve, telehealth can continue to provide invaluable benefits to individuals with addiction, particularly those in rural America. In summary, ongoing research regarding telehealth delivery and the expansion of telehealth is a byproduct of the pandemic and can advance the American healthcare system beyond the days of COVID-19. This manuscript will review studies regarding the use of telehealth in SUD with the hope that further research within and beyond the COVID-19 pandemic will lead to the increased use of telehealth by those involved in and those receiving care for SUDs. Full article

Recently dubbed Long COVID or Long-Haul COVID, those recovering from the initial COVID-19 infection may maintain clinical signs for longer than two or more weeks following the initial onset of the infection. The virus can gain entry into the CNS through axonal transport mediated through the olfactory nerve or hematogenous spread and can also cross the blood–brain barrier to access the temporal lobe and the brainstem. The neurologic and neuropsychiatric symptoms associated with COVID-19 patients are becoming a highly studied area due to the increased frequency of reported cases. Multiple hospital case series and observational studies have found a headache to be a common symptom among patients who are symptomatic with the SARS-CoV-2 virus. The headache described by many of these patients is similar to new daily persistent headache (NDPH). NDPH potentially develops in response to pro-inflammatory cytokines during a persistent systemic or CNS inflammation, mostly due to the initial infection. The treatments investigated were high-dose steroids, tetracycline derivatives, onabotulinum toxin type A, and long-term multidrug regimens. Among the identified symptoms of post-COVID-19 viral illness, fatigue appears to be the most ubiquitous. High-dose vitamin C is currently a suggested therapy proposed for its antioxidant, anti-inflammatory, and immunomodulatory properties. The mental health consequences of this diagnosis are being identified among large portions of COVID-19 survivors. Among these consequences, cases of major depressive disorder (MDD) and anxiety are being reported and closely examined. The aim of this narrative review is to highlight the neurological and psychiatric symptoms that have been associated with Long-Haul COVID and their possible treatments. Full article

Loneliness and, to a lesser degree, social support are considered under-researched topics in the literature on eating disorders (ED). This study attempted to expand the relevant body of research by examining loneliness in combination with social support in ED patients and in healthy controls (HC). Binge-eating problems, emotional eating, resilience, anxiety, and depression symptoms were also assessed. Thirty-two patients with ED and twenty-nine HC completed the following measures: UCLA Loneliness Scale, Social Support Questionnaire—Short Form, Binge Eating Scale, Emotional Eating Scale, Connor–Davidson Resilience Scale, Hospital Anxiety and Depression Scale, and the Eating Disorder Examination Questionnaire. Eating-disorder patients showed higher levels of loneliness and lower levels of social support—both in terms of perceived availability and satisfaction—than HC. Anorexia nervosa (AN), bulimia nervosa (BN), and binge-eating disorder (BED) subgroups did not differ significantly on either of these variables. In ED patients, loneliness was only correlated with Social Support Satisfaction (negatively) and depressive symptomatology (positively). Patients with ED appear to be lonelier and less satisfied with their social support compared to HC. We found similar levels of loneliness and social support between AN, BN, and BED sufferers. Decreased social support satisfaction and elevated symptoms of depression could account for ED patients’ high levels of loneliness. Full article

Introduction: Since the early 2000s, there have been extensive investigations into cognitive biases in addictive disorders. The advances in the field have led to the discovery that cognitive bias exists in substance disorders and could in turn be modified. To date, there have been primary studies and meta-analysis demonstrating the existence of these biases and the effectiveness of cognitive bias modification (i.e., whereby such biases are retrained). There remains a lack of understanding of how the field has progressed and the research gaps, in light of the evidences provided by these primary studies. Objectives: A bibliometric analysis of the publications to date was performed to provide a map of the work that has been done so far. This would help researchers to better understand the development of cognitive bias research, the direction of the research, and the recent trends. Methods: For the purposes of this bibliometric research, Web of Science (WOS) was used in the identification of relevant articles. To identify the relevant articles, the following search strategy was implemented, that of ((((((TS = (“cognitive bias”)) OR TS = (“attention bias”)) OR TS = (“approach bias”)) OR TS = (“avoidance bias)) OR TS = (“interpretative bias”))). Bibliometric data analysis was conducted based on the identified articles. Results: A total of 161 citations were eventually included. These citations were published between 1994 and 2022. The average number of citations per documents was 26.73. Of these 161 citations, 122 were articles, 2 were editorials, 3 were corrections to the original manuscript, 5 were reviews, and 29 were meeting abstracts. The analysis of the trend of topics has shown that researchers were focused on understanding and gaining insights into cognitive biases and potentially examining the association between cognitive biases and cravings and aggression in the early days. Over the years, there has been an evolution into examining specific unconscious biases, namely, that of attention and approach biases. In the most recent years, the investigations have been more focused on examining bias modification/retraining. Conclusions: From our knowledge, this is the first bibliometric analysis that has been undertaken to explore all the publications related to cognitive bias in the field of addiction. The insights gained from this article could inform future research. Full article

Parenting stress is affected by various factors, including maternal attachment; however, the number of studies focusing on Japanese samples is limited. As such, we explored the association between mothers’ attachment styles and parenting stress among Japanese mothers with 18-month-old toddlers. This cross-sectional study was conducted in Sasebo City, Japan between 2018 and 2019. Anonymous self-reported questionnaires were distributed to 1399 mothers who attended an infant health check-up. We categorized maternal attachment style as secure, anxious/ambivalent, or avoidant, and conducted a multiple logistic regression analysis to evaluate the associations between each attachment style and parenting stress. Of the 1399 mothers, 529 responded to the survey (37.8%). About 40% reported experienced parenting stress. Further, approximately two-thirds showed a secure attachment style, 20% had an anxious/ambivalent style, and 15% had an avoidant style. In the multiple logistic regression analysis, the ambivalently attached mothers had a significantly higher level of parenting stress than those with secure attachment (odds ratio = 2.4, 95% confidence interval (1.5, 3.9)), but avoidantly attached mothers did not have a significantly higher level of parenting stress than those with secure attachment (odds ratio = 0.9, 95% confidence interval (0.5, 1.6)). The findings demonstrate that an anxious/ambivalent attachment style is associated with a higher level of parenting stress than a secure style. Thus, it is important for experts to understand the mother’s attachment style when offering childrearing support. Full article