Depression is a common mental health disorder. With current depression detection methods, specialized physicians often engage in conversations and physiological examinations based on standardized scales as auxiliary measures for depression assessment. Non-biological markers-typically classified as verbal or non-verbal and deemed crucial evaluation criteria for depression-have not been effectively utilized. Specialized physicians usually require extensive training and experience to capture changes in these features. Advancements in deep learning technology have provided technical support for capturing non-biological markers. Several researchers have proposed automatic depression estimation (ADE) systems based on sounds and videos to assist physicians in capturing these features and conducting depression screening. This article summarizes commonly used public datasets and recent research on audio- and video-based ADE based on three perspectives: Datasets, deficiencies in existing research, and future development directions.
This editorial addresses catatonia, a complex neuropsychiatric syndrome characterised by a spectrum of psychomotor disturbances. The editorial seeks to clarify the ambiguous aspects of catatonia, integrating recent research findings, including global studies and diagnostic advancements. It discusses catatonia's clinical manifestations, prevalence, and associated psychiatric and medical conditions, with particular emphasis on its frequent co-occurrence with schizophrenia and mood disorders. The prevalence of catatonia, which varies across psychiatric populations, is illustrated by a significant study conducted in Nelson Mandela Bay, South Africa. This study provides valuable insights into the effectiveness of the Bush-Francis Screening Instrument compared to the Diagnostic and Statistical Manual 5 criteria in diagnosing catatonia. The editorial evaluates treatment approaches, primarily focusing on benzodiazepines and electroconvulsive therapy, and discusses emerging therapeutic strategies. It underscores the importance of robust diagnostic frameworks and early intervention in managing catatonia, as recommended by the latest evidence-based consensus guideline. Furthermore, it suggests future research directions, particularly in exploring the neurobiological and genetic factors of catatonia, to enhance our understanding and improve treatment outcomes. This editorial succinctly aims to demystify catatonia and provide valuable insights for clinicians and researchers in mental health care.
Background: Most studies have defined economic well-being as socioeconomic status, with little attention given to whether other indicators influence self-esteem. Little is known about racial/ethnic disparities in the relationship between economic well-being and self-esteem during adulthood.
Aim: To explore the impact of economic well-being on self-esteem in adulthood and differences in the association across race/ethnicity.
Methods: The current study used data from the National Longitudinal Survey of Youth 1979. The final sample consisted of 2267 African Americans, 1425 Hispanics, and 3678 non-Hispanic Whites. Ordinary linear regression analyses and logistic regression analyses were conducted.
Results: African Americans and Hispanics were more likely to be in poverty in comparison with non-Hispanic Whites. More African Americans were unemployed than Whites. Those who received fringe benefits, were more satisfied with jobs, and were employed were more likely to have higher levels of self-esteem. Poverty was negatively associated with self-esteem. Interaction effects were found between African Americans and job satisfaction predicting self-esteem.
Conclusion: The role of employers is important in cultivating employees' self-esteem. Satisfactory outcomes or feelings of happiness from the workplace may be more important to non-Hispanic Whites compared to African Americans and Hispanics.
Background: Chronic kidney disease (CKD) patients have been found to be at risk of concurrent cognitive dysfunction in previous studies, which has now become an important public health issue of widespread concern.
Aim: To investigate the risk factors for concurrent cognitive dysfunction in patients with CKD.
Methods: This is a prospective cohort study conducted among patients with CKD between October 2021 and March 2023. A questionnaire was formulated by literature review and expert consultation and included questions about age, sex, education level, per capita monthly household income, marital status, living condition, payment method, and hypertension.
Results: Logistic regression analysis showed that patients aged 60-79 years [odds ratio (OR) = 1.561, P = 0.015] and ≥ 80 years (OR = 1.760, P = 0.013), participants with middle to high school education (OR = 0.820, P = 0.027), divorced or widowed individuals (OR = 1.37, P = 0.032), self-funded patients (OR = 2.368, P = 0.008), and patients with hypertension (OR = 2.011, P = 0.041) had a higher risk of cognitive impairment. The risk of cognitive impairment was lower for those with a college degree (OR = 0.435, P = 0.034) and married individuals.
Conclusion: The risk factors affecting cognitive dysfunction are age, 60-79 years and ≥ 80 years; education, primary school education or less; marital status, divorced or widowed; payment method, self-funded; hypertension; and CKD.
Background: Sepsis is a serious infectious disease caused by various systemic inflammatory responses and is ultimately life-threatening. Patients usually experience depression and anxiety, which affect their sleep quality and post-traumatic growth levels.
Aim: To investigate the effects of sepsis, a one-hour bundle (H1B) management was combined with psychological intervention in patients with sepsis.
Methods: This retrospective analysis included 300 patients with sepsis who were admitted to Henan Provincial People's Hospital between June 2022 and June 2023. According to different intervention methods, the participants were divided into a simple group (SG, n = 150) and combined group (CG, n = 150). H1B management was used in the SG and H1B management combined with psychological intervention was used in the CG. The changes of negative emotion, sleep quality and post-traumatic growth and prognosis were compared between the two groups before (T0) and after (T1) intervention.
Results: After intervention (T1), the scores of the Hamilton Anxiety scale and Hamilton Depression scale in the CG were significantly lower than those in the SG (P < 0.001). Sleep time, sleep quality, sleep efficiency, daytime dysfunction, sleep disturbance dimension score, and the total score in the CG were significantly lower than those in the SG (P < 0.001). The appreciation of life, mental changes, relationship with others, personal strength dimension score, and total score of the CG were significantly higher than those of the SG (P < 0.001). The scores for mental health, general health status, physiological function, emotional function, physical pain, social function, energy, and physiological function in the CG were significantly higher than those in the SG (P < 0.001). The mechanical ventilation time, intensive care unit stay time, and 28-d mortality of the CG were significantly lower than those of the SG (P < 0.05).
Conclusion: H1B management combined with psychological intervention can effectively alleviate the negative emotions of patients with sepsis and increase their quality of sleep and life.
In this editorial, we discuss the status of a therapeutic approach to emotional reactions accompanying thermal skin injuries. Burns are considered a major health problem, as well as an economic and social problem, with potentially devastating and life-changing consequences. They affect a wide range of patients with different damage mechanisms, varied depths, and localizations of the burns. The most common are thermal burns, with more than 11 million occurrences annually according to the World Health Organization data. Thermal skin injuries are among the most tragic and catastrophic injuries, almost unsurpassed in terms of severity, morbidity, and mortality, as well as functional, aesthetic, social, economic, and psychological consequences. Burn survivors face stress, anxiety, depression, low self-esteem, body deformity, social isolation, unemployment, financial burden, and family problems. The advances in acute burn care have allowed researchers and physicians to pay more attention to other effects of burns, focusing on psychological consequences in particular. Apart from the significant improvements in routine protocols, it seems useful to take care of psychological disturbances that occur simultaneously but may emerge as the most lasting outcome of those injuries. In that sense, various standards and additional approaches may be involved to achieve overall recovery.
As one of the most famous large language models, ChatGPT has great potential for application in physical education. It can provide personalized exercise plans, a variety of exercise options, and interactive support. The integration of ChatGPT into the teaching process can promote college students' participation in physical activities and improve their mental health while expanding the traditional teaching environment and promoting the reform of traditional teaching methods. However, the application of ChatGPT faces challenges and obstacles in physical education. To make full use of ChatGPT in physical education, it can be combined with wearable devices and sports equipment to enhance the efficiency of interactions with users. Relevant policies are urgently needed to avoid the improper use of users' data.