Search Results (16,445)

Radiological interpretations, while essential, are not infallible and are best understood as expert opinions formed through the evaluation of available evidence. Acknowledging the inherent possibility of error is crucial, as it frames the discussion on improving diagnostic accuracy and patient care. A comprehensive review of error classifications highlights the complexity of diagnostic errors, drawing on recent frameworks to categorize them into perceptual and cognitive errors, among others. This classification underpins an analysis of specific error types, their prevalence, and implications for clinical practice. Additionally, we address the psychological impact of radiological practice, including the effects of mental health and burnout on diagnostic accuracy. The potential of artificial intelligence (AI) in mitigating errors is discussed, alongside ethical and regulatory considerations in its application. This research contributes to the body of knowledge on radiological errors, offering insights into preventive strategies and the integration of AI to enhance diagnostic practices. It underscores the importance of a nuanced understanding of errors in radiology, aiming to foster improvements in patient care and radiological accuracy. Full article

Psychiatric conditions, such as depression, anxiety, bipolar disorder, and schizophrenia, are increasingly recognized as significant risk factors for cardiovascular disease (CVD). This review systematically analyzes evidence from various databases to provide a comprehensive understanding of the impact of psychiatric illnesses on the incidence, management, and prognosis of CVD. Key findings suggest a bidirectional relationship between psychiatric disorders and CVD, indicating that mental health conditions can predispose individuals to CVD, while CVD can exacerbate or trigger psychiatric symptoms. The review explores the underlying mechanisms of these associations, including behavioral factors, stress responses, and medication side effects. It also examines the challenges in managing CVD patients with comorbid psychiatric conditions, emphasizing the importance for integrated care approaches. This review underscores the necessity of considering mental health as an integral component of cardiovascular care and calls for further research to develop tailored management strategies for these complex conditions, ultimately aiming to improve patient outcomes and quality of life. This comprehensive analysis provides valuable insights for future investigations and guides clinicians in optimizing care for patients with both psychiatric and cardiovascular conditions. Full article

Poor youth mental health is an area of global concern. Summer holiday programs may provide environments that support mental health when the structures and supports of school are not available. The aim of this review was to determine the effectiveness of summer holiday programs in improving the mental health, social–emotional well-being, and cognitive (non-academic) outcomes of children and adolescents. Studies of summer holiday programs for school-aged children (5–18 years) were included if they measured any mental, socio-emotional or cognitive (non-academic) outcome. Studies were excluded if they were published prior to 2000, targeted clinical populations or lasted less than five days. Six databases were searched (April 2023). Risk of bias was assessed using the PEDro tool. Study outcomes were grouped according to three main constructs: mental health (psychological well-being, anxiety, depression, distress, and self-perception including self-esteem, self-worth, self-concept, confidence, and competence); social–emotional well-being (behavior and social skills, e.g., communication, bullying, conflict resolution, empathy, and social skills); and cognitive function (memory, selective attention, and executive function). A fourth “other” group captured substance use, personality traits, character skills, and values. Effect sizes were calculated as the standardized mean difference between pre- and post-intervention scores. The synthesis involved a random-effects meta-analysis (presented in forest plots), where possible, with the remaining outcomes narratively synthesized. Twenty-six studies (n = 6812 participants) were included. The results of the meta-analysis suggested that summer programs showed a statistically non-significant trend toward reducing symptoms of anxiety and depression (k = 2 studies, SMD = −0.17, 95% CI −2.94, 2.60), psychological distress (k = 2 studies, SMD −0.46, 95% CI –1.71, 0.79), and no effect on self-esteem (k = 6 studies, SMD = 0.02, 95% CI −0.02, 0.06) or self-worth (k = 3 studies, SMD = 0.05, 95% CI 0.00, 0.11). Narrative syntheses indicated a pattern toward improvements in general mental health, self-perception, social–emotional outcomes, and cognition. Studies were generally small, with a high risk of bias. Summer holiday programs for children and adolescents show trends toward improving mental, social, emotional, and cognitive outcomes. Programs targeting disadvantaged children showed stronger patterns of improvement related to mental health and self-perception than programs targeting the general population. While effect sizes are small to negligible, they consistently indicate improvements. Summer programs present a promising avenue to promote mental health in children; however, further rigorously designed, clearly reported control-group studies are required to more fully understand their effects. Full article

Japan is experiencing significant demographic shifts due to an aging and declining population. In 1993, the Japanese Government introduced the Technical Intern Training Program (TITP) to accept foreign national workers. While the number of technical intern trainees under this program has constantly increased, many of them face challenges in their daily lives, such as stress, health insecurities and limited access to healthcare. Therefore, we conducted a cross-sectional study to assess the mental well-being of technical intern trainees, focusing on psychological distress and its related factors. This study included 304 technical intern trainees from 12 prefectures in Japan, and was conducted from August 2021 to October 2021. We used self-administered questionnaires in the participants’ native languages to assess their sociodemographic conditions, health-related conditions such as health insecurities and healthcare-seeking behaviors, and psychological distress. The K6 Kessler Psychological Distress Scale was applied to evaluate the levels of psychological distress. Among the participants, 26.3% had moderate psychological distress and 2.3% had severe psychological distress. In addition, about 15% of the participants reported health insecurities and did not see a doctor despite wanting to. The multivariate model of logistic regression revealed significant associations between psychological distress and female gender (AOR 2.62, 95% CI 1.12–6.12), nationality other than Vietnamese (AOR 4.85, 95% CI 2.60–9.07), tough financial conditions (AOR 2.23, 95% CI 1.18–4.19), experiencing health insecurity (AOR 2.21, 95% CI 1.04–4.66) and the health behavior of refraining from seeking medical care (AOR 3.06, 95% CI 1.49–6.30). The top reasons for refraining from seeking medical care were the participants’ limited knowledge about the healthcare system in Japan and their worries about medical bills. These findings highlight the necessity to extend mental health support services, including counseling services, and share information about Japan’s healthcare system to supply medical services to the targeted technical intern trainee population. Full article

Even from infancy, a human’s day-life alternates from a period of wakefulness to a period of sleep at night, during the 24-hour cycle. Sleep is a normal process necessary for human physical and mental health. A lack of sleep makes it difficult to control emotions and behaviour, reduces productivity at work, and can even increase stress or depression. In addition, poor sleep affects health; when sleep is insufficient, the chances of developing serious diseases greatly increase. Researchers in sleep medicine have identified an extensive list of sleep disorders, and thus leveraged Artificial Intelligence (AI) to automate their analysis and gain a deeper understanding of sleep patterns and related disorders. In this research, we seek a Machine Learning (ML) solution that will allow for efficient classification of unlabeled instances as being Sleep Apnea, Insomnia or Normal (subjects without a specific sleep disorder) by assessing the performance of two well-established strategies for multi-class classification tasks: the One-Vs-All (OVA) and One-Vs-One (OVO). In the context of the specific strategies, two well-known binary classification models were assumed, Logistic Regression (LR) and Support Vector Machines (SVMs). Both strategies’ validity was verified upon a dataset of diverse information related to the profiles (anthropometric data, sleep metrics, lifestyle and cardiovascular health factors) of potential patients or individuals not exhibiting any specific sleep disorder. Performance evaluation was carried out by comparing the weighted average results in all involved classes that represent these two specific sleep disorders and no-disorder occurrence; accuracy, kappa score, precision, recall, f-measure, and Area Under the ROC curve (AUC) were recorded and compared to identify an effective and robust model and strategy, both class-wise and on average. The experimental evaluation unveiled that after feature selection, 2-degree polynomial SVM under both strategies was the least complex and most efficient, recording an accuracy of 91.44%, a kappa score of 84.97%, precision, recall and f-measure equal to 0.914, and an AUC of 0.927. Full article

This study explored the effectiveness of a virtual music therapy program, based on positive psychotherapy principles, in college students during the COVID-19 pandemic. Twenty-four undergraduate students with partial PTSD were initially assigned to either an experimental group or a control group, with 11 participants in each group by the study’s end. The experimental group underwent 15 video sessions of the therapy program, completing one session per weekday over 3 weeks. The program involved worksheets targeting goals aligned with positive psychology, such as positive affect, life meaning, personal strengths, gratitude, hope, and happiness. The activities included writing music autobiographies, creating and analyzing song lyrics, and exploring various music pieces. The effectiveness of the intervention was measured using the 21-item Depression Anxiety Stress Scale and the Korean Version of Positive Psychological Capital (K-PPC) before, immediately after, and 3 weeks post-program. The experimental group showed significant improvements in stress (F = 5.759, p < 0.05), anxiety (F = 4.790, p < 0.01), depression (F = 5.740, p < 0.01), self-efficacy (F = 3.723, p < 0.05), resilience (F = 4.739, p < 0.05), and the K-PPC total score (F = 3.740, p < 0.05) compared with the control group. These improvements were maintained at the 3-week follow-up. The findings suggest that positive psychology-based virtual music therapy can significantly enhance the mental health of highly stressed college students, especially during challenging times such as the COVID-19 pandemic. Full article

Dating violence is a serious public health issue among adolescents due to the detrimental short- and long-term consequences. The purpose of this study is to examine the relationship between adolescent dating violence (ADV) and adverse health behavioral outcomes related to substance abuse, mental health, and select risky health behaviors such as feeling unsafe, school performance, and inadequate sleep within the state of Florida. This study used data from the 2015 Youth Risk Behavior Survey (YRBS). The high school students represented a weighted total of 542,818 (n = 4301). Logistic regression analyses, stratified by gender, examined the relationship between ADV and health risk behaviors after adjusting for race and grade. Proportions of ADV were as follows: 3.1% of students reported being abused both physically and sexually; 3.4% reported being abused only physically; 3.9% reported being abused only sexually; and 89.6% were uninvolved. ADV was associated with almost all the health risk behavior outcomes studied, with a few exceptions. Experiencing both kinds of abuse held the highest odds ratio among the four mutually exclusive categories of ADV. The findings from this study could be helpful in identifying youths who demonstrate warning signs of ADV abuse and thus could provide opportunities for targeted preventive interventions. Full article

Vaccine hesitancy is an important public health issue referring to concerns about the safety and efficacy of vaccination. Within a framework, this study aimed to assess the cultural adaptation, validity, and reliability of the Greek version of the adult Vaccine Hesitancy Scale (aVHS) as well as to identify the determinants of vaccine hesitancy among a large regional population in central Greece. A cross-sectional study was conducted enrolling 300 adults who had received primary healthcare services in the Health Centers and Local Health Units of the Magnesia Region from October to December 2022. The aVHS and the Life Orientation Test-Revised (LOT-R) were used to identify vaccine hesitancy and the dispositional level of optimism, respectively. For survey translation, the procedure of forward and backward translation was followed. Also, the aVHS was tested in a pilot study with a sample of 18 responders. Construct validity and internal consistency reliability were investigated via exploratory and confirmatory factor analysis and Cronbach’s alpha coefficients, respectively. Simple and multiple linear regression analysis were used to determine predictors for vaccine hesitancy. Factor analyses indicated that the aVHS comprises two constructs (“lack of confidence” and “risk perception”) explaining 68.9% of the total variance. The Cronbach’s alpha of the total scale was 0.884, indicating its high internal consistency. Participants who lived in rural areas, had a lower annual income, and reported a lower level of optimism showed a higher lack of confidence in vaccination. On the other hand, people aged above 45 years old who had graduated from high school or elementary school and were unemployed showed greater aversion to the risks of side effects. Finally, certain socio-demographic characteristics were associated with vaccine hesitancy. Our data suggest that the aVHS is a valid and reliable instrument for measuring vaccine-related attitudes and perceptions in Greek society, providing meaningful insight into designing vaccination-related preventive interventions in the community. Full article

This study investigated the potential of the metaverse in providing psychological support for pediatric and AYA cancer patients, with a focus on those with rare cancers. The research involved ten cancer patients and survivors from four distinct regions in Japan, who participated in metaverse sessions using customizable avatars, facilitating interactions across geographical and temporal barriers. Surveys and qualitative feedback were collected to assess the psychosocial impact of the intervention. The results demonstrated that the metaverse enabled patients to connect with peers, share experiences, and receive emotional support. The anonymity provided by avatars helped reduce appearance-related anxiety and stigma associated with cancer treatment. A case study of a 19-year-old male with spinal Ewing’s sarcoma highlighted the profound emotional relief fostered by metaverse interactions. The findings suggest that integrating virtual spaces into healthcare models can effectively address the unique needs of pediatric and AYA cancer patients, offering a transformative approach to delivering psychosocial support and fostering a global patient community. This innovative intervention has the potential to revolutionize patient care in the digital age. Full article

The impaired function of the serotonin transporter (SERT) in humans has been linked to a higher risk of obesity and type 2 diabetes, especially as people age. Consuming a “Western diet” (WD), which is high in saturated fats, cholesterol, and sugars, can induce metabolic syndrome. Previous research indicated that mice carrying a targeted inactivation of the Sert gene (knockout, KO) and fed a WD display significant metabolic disturbances and behaviors reminiscent of ADHD. These abnormalities might be mediated via a dysfunction in insulin receptor (IR) signaling, which is also associated with adult ADHD. However, the impact of Sert deficiency on IR signaling and systemic metabolic changes has not been thoroughly explored. In this study, we conducted a detailed analysis of locomotor behavior in wild-type (WT) and KO mice fed a WD or control diet. We investigated changes in the blood metabolome and examined, via PCR, the expression of insulin receptor A and B isoforms and key regulators of their function in the brain. Twelve-month-old KO mice and their WT littermates were fed a WD for three weeks. Nuclear magnetic resonance spectroscopy analysis of plasma samples showed that KO mice on a WD had higher levels of lipids and lipoproteins and lower levels of glucose, lactate, alanine, valine, and isoleucine compared to other groups. SERT-KO mice on the control diet exhibited increased brain levels of both IR A and B isoforms, accompanied by a modest increase in the negative regulator ENPP. The KO mice also displayed anxiety-like behavior and reduced exploratory activity in an open field test. However, when the KO animals were fed a WD, the aberrant expression levels of IR isoforms in the KO mice and locomotor behavior were ameliorated indicating a complex interaction between genetic and dietary factors that might contribute to ADHD-like symptoms. Overall, our findings suggest that the lack of Sert leads to a unique metabolic phenotype in aged mice, characterized by dysregulated IR-related pathways. These changes are exacerbated by WD in the blood metabolome and are associated with behavioral abnormalities. Full article

Endocrine-disrupting chemicals (EDCs) have become so pervasive in our environment and daily lives that it is impossible to avoid contact with such compounds, including pregnant women seeking to minimize exposures to themselves and their unborn children. Developmental exposure of humans and rodent models to bisphenol A (BPA) and other EDCs is linked to increased anxiogenic behaviors, learning and memory deficits, and decreased socio-sexual behaviors. Prenatal exposure to BPA and other EDCs leads to longstanding and harmful effects on gut microbiota with reductions in beneficial bacteria, i.e., gut dysbiosis, and such microbial changes are linked to host changes in fecal metabolites, including those involved in carbohydrate metabolism and synthesis, and neurobehavioral alterations in adulthood, in particular, social and cognitive deficits. Gut dysbiosis is increasingly being recognized as a key driver of a myriad of diseases, ranging from metabolic, cardiovascular, reproductive, and neurobehavioral disorders via the gut-microbiome–brain axis. Thus, EDCs might induce indirect effects on physical and mental health by acting as microbiome-disrupting chemicals. Findings raise the important question as to whether pregnant women should consume a probiotic supplement to mitigate pernicious effects of EDCs, especially BPA, on themselves and their unborn offspring. Current studies investigating the effects of maternal probiotic supplementation on pregnant women’s health and that of their unborn offspring will be reviewed. Data will inform on the potential application of probiotic supplementation to reverse harmful effects of EDCs, especially BPA, in pregnant women unwittingly exposed to these compounds and striving to give their offspring the best start in life. Full article

To clarify the underlying mechanism of first-year undergraduate students’ maladaptive perfectionism in relation to their anxiety, this study constructs a mediating model with moderation, focusing on the investigation of the mediating role of self-compassion and the moderating role of family support. A total of 924 university students were involved in the investigation, responding to questionnaires on their maladaptive perfectionism, anxiety, self-compassion, and family support. The results showed that (1) after controlling for gender and Hukou, maladaptive perfectionism had a significant positive predictive effect on anxiety; (2) self-compassion can play a role in mediating the relationship between maladaptive perfectionism and anxiety; and (3) the mediating effect of self-compassion on anxiety in terms of maladaptive perfectionism was moderated by family support. The results of this study have important theoretical value and practical significance for improving first-year undergraduate students’ anxiety. Full article

AI has the potential to revolutionize mental health services by providing personalized support and improving accessibility. However, it is crucial to address ethical concerns to ensure responsible and beneficial outcomes for individuals. This systematic review examines the ethical considerations surrounding the implementation and impact of artificial intelligence (AI) interventions in the field of mental health and well-being. To ensure a comprehensive analysis, we employed a structured search strategy across top academic databases, including PubMed, PsycINFO, Web of Science, and Scopus. The search scope encompassed articles published from 2014 to 2024, resulting in a review of 51 relevant articles. The review identifies 18 key ethical considerations, including 6 ethical considerations associated with using AI interventions in mental health and wellbeing (privacy and confidentiality, informed consent, bias and fairness, transparency and accountability, autonomy and human agency, and safety and efficacy); 5 ethical principles associated with the development and implementation of AI technologies in mental health settings to ensure responsible practice and positive outcomes (ethical framework, stakeholder engagement, ethical review, bias mitigation, and continuous evaluation and improvement); and 7 practices, guidelines, and recommendations for promoting the ethical use of AI in mental health interventions (adhere to ethical guidelines, ensure transparency, prioritize data privacy and security, mitigate bias and ensure fairness, involve stakeholders, conduct regular ethical reviews, and monitor and evaluate outcomes). This systematic review highlights the importance of ethical considerations in the responsible implementation and impact of AI interventions for mental health and well-being. By addressing privacy, bias, consent, transparency, human oversight, and continuous evaluation, we can ensure that AI interventions like chatbots and AI-enabled medical devices are developed and deployed in an ethically sound manner, respecting individual rights, promoting fairness, and maximizing benefits while minimizing potential harm. Full article

Assertion is the use of declarative sentences to convey information, which necessitates meeting the “justified-belief norm” as a prerequisite. However, a significant amount of misinformation that did not meet these conditions was spread during COVID-19, leading to a reintroduction of the assertion norm. One possible hypothesis is that the threatening content of the misinformation influenced the perception of the norm. However, this remains unclear to researchers. Therefore, we conducted two experiments to investigate the effect of threatening content in information on individuals’ perceptions of norms. In all the experiments, participants read backstories with and without threatening content, followed by answering assertion questions. It was observed that people do follow a looser assertion norm for information that contains threatening content. Additionally, further exploration revealed that threatening factors also lead individuals to more easily perceive the related content as truth and reduce the probability of being blamed. These two outcomes provide some explanation for the underlying mechanism of threatening factors’ influence. The research results further refined the theory of assertion norms, offering a certain basis for information management. Full article

Opioids are commonly used for the management of severe chronic cancer pain. Their well-known pharmacological effects on the gastrointestinal system, particularly opioid-induced constipation (OIC), are the most common limiting factors in the optimization of analgesia, and have led to the wide use of laxatives and/or peripherally acting mu-opioid receptor antagonists (PAMORAs). A growing interest has been recently recorded in the possible effects of opioid treatment on the gut microbiota. Preclinical and clinical data, as presented in this review, showed that alterations of the gut microbiota play a role in modulating opioid-mediated analgesia and tolerability, including constipation. Moreover, due to the bidirectional crosstalk between gut bacteria and the central nervous system, gut dysbiosis may be crucial in modulating opioid reward and addictive behavior. The microbiota may also modulate pain regulation and tolerance, by activating microglial cells and inducing the release of inflammatory cytokines and chemokines, which sustain neuroinflammation. In the subset of cancer patients, the clinical meaning of opioid-induced gut dysbiosis, particularly its possible interference with the efficacy of chemotherapy and immunotherapy, is still unclear. Gut dysbiosis could be a new target for treatment in cancer patients. Restoring the physiological amount of specific gut bacteria may represent a promising therapeutic option for managing gastrointestinal symptoms and optimizing analgesia for cancer patients using opioids. Full article