PsyCh journal最新文献

Although the world has entered the post-pandemic period, the mental health and life satisfaction of college students still need to be addressed. However, previous literature has primarily focused on negative variables and has paid little attention to positive variables, such as self-compassion and the capacity to be alone. Therefore, this longitudinal study aims to investigate the relationships between the capacity to be alone, self-compassion, life satisfaction, depression, and anxiety among college students. This study analyzed data from 1460 Chinese college students who completed an online survey at two time-points one year apart. We employed cross-lagged analysis and constructed longitudinal mediation models to explore the relationships between five variables (i.e., capacity to be alone, self-compassion, life satisfaction, depression, and anxiety). Our findings indicate that depression and life satisfaction could negatively predict each other over time. Self-compassion in wave 1 could negatively predict depression and anxiety in wave 2. Higher life satisfaction in wave 1 was associated with a lower capacity to be alone in wave 2. We also found reciprocal positive predictive relationships between depression and anxiety, and life satisfaction and self-compassion. Life satisfaction mediated the relationship between self-compassion and psychopathological variables (i.e., depression and anxiety). Additionally, self-compassion mediated the association between life satisfaction and psychopathological variables and the association between capacity to be alone and psychopathological variables. Our study highlights the significance of early identification and intervention in depression and anxiety. We also discovered the possible self-soothing function of self-compassion as well as the importance of fostering positive personal characteristics.

Musical depth, which encompasses the intellectual and emotional complexity of music, is a robust dimension that influences music preference. However, there remains a dearth of research exploring the relationship between lyrics and musical depth. This study addressed this gap by analyzing linguistic inquiry and word count-based lyric features extracted from a comprehensive dataset of 2372 Chinese songs. Correlation analysis and machine learning techniques revealed compelling connections between musical depth and various lyric features, such as the usage frequency of emotion words, time words, and insight words. To further investigate these relationships, prediction models for musical depth were constructed using a combination of audio and lyric features as inputs. The results demonstrated that the random forest regressions (RFR) that integrated both audio and lyric features yielded superior prediction performance compared to those relying solely on lyric inputs. Notably, when assessing the feature importance to interpret the RFR models, it became evident that audio features played a decisive role in predicting musical depth. This finding highlights the paramount significance of melody over lyrics in effectively conveying the intricacies of musical depth.

Augmented reality (AR) technology allows virtual objects to be superimposed on the real-world environment, offering significant potential for improving cognitive assessments and rehabilitation processes in the field of visuospatial learning. This study examines how patients with acquired brain injury (ABI) evaluate the functions and usability of a SLAM-based smartphone AR app to assess object-location skills. Ten ABI patients performed a task for the spatial recall of four objects using an AR app. The data collected from 10 healthy participants provided reference values for the best performance. Their perceptions of the AR app/technology and its usability were investigated. The results indicate lower effectiveness in solving the task in the patient group, as the time they needed to complete it was related to their level of impairment. The patients showed lower, yet positive, scores in factors related to app usability and acceptance (e.g., mental effort and satisfaction, respectively). There were more patients reported on entertainment as a positive aspect of the app. Patients' perceived enjoyment was related to concentration and calm, whereas usability was associated with perceived competence, expertise, and a lower level of physical effort. For patients, the sensory aspects of the objects were related to their presence, while for healthy participants, they were related to enjoyment and required effort. The results show that AR seems to be a promising tool to assess spatial orientation in the target patient population.

The present study aimed to examine the psychological impact of the COVID-19 pandemic on infertile patients. We adopted a comparison design and searched articles published from 1 September 2016 to 31 December 2019 as the control group, while articles published from 1 January 2020 to 31 April 2023 were treated as the pandemic group. Specifically, Web of Science, PubMed, Medline, PsycArticle, CNKI and PsycINFO were searched to identify potential eligible records. Risk of bias was assessed, and random-effects meta-analyses were conducted to estimate the prevalence of specific mental health problems. Forty studies with a total of 19,480 participants were included in the analysis. The pooled prevalence of anxiety in the pandemic group was significantly higher than that in the control group. The depression and stress prevalence in the pandemic group was higher than that in the control group, yet did not reach statistical significance. A subgroup analysis revealed region differences with developed countries exhibiting higher rates of anxiety and depression in the pandemic group, but the result was the opposite in the control group. Physiological factors, psychological factors and social factors correlated with infertile patients' mental health were identified. The COVID-19 pandemic had a significant negative impact on infertile patients' mental health, emphasizing the importance of ways to mitigate the risks during the pandemic.

In today's fast-paced society, escalating work and academic pressures have led to rising stress levels. While numerous studies have explored adolescent mental health, there has been a lack of focus on "educational stress" among Chinese students. This study sought to understand the psychological and physiological effects of educational stress in Chinese university students. We studied the impact of a 5-min nature photography session on campus compared with a control activity of photographing urban settings near campus. Data were collected using blood pressure measurements, electroencephalography (EEG), the Semantic Differential Method (SDM), and the State-Trait Anxiety Inventory (STAI) in order to understand psychophysiological reactions. The findings from the SDM and STAI assessments indicated that students felt slightly more at ease and considerably more relaxed, had a heightened sense of naturalness, and experienced reduced anxiety after engaging in nature photography compared with urban photography. Notably, we observed that both systolic and diastolic blood pressure dropped by many values and there were noticeable EEG changes among participants. The results suggest that a brief 5-min nature photography activity can effectively reduce mental stress in Chinese university students.

A heavy rainstorm struck Henan, China, in July 2021. Previous studies have indicated that natural disasters have a wide range of psychological sequelae, but little research has been done on the psychological effects of floods specifically. This study aimed to track the mental health trajectories of flood victims over time and identify associated protective and risk factors. People living in the areas most impacted by the flood (N = 376) were surveyed at four different time points: 3 weeks, 1 month, 2 months, and 3 months post-flood. Latent growth mixture modeling was utilized to delineate longitudinal patterns of depression, anxiety, and posttraumatic stress disorder (PTSD). Least absolute shrinkage and selection operator logistic regression, a supervised machine-learning approach, was employed to discern predictors among 49 assessed variables at both contextual and personal levels. Results revealed three classes of PTSD (resilience, recovery, moderate symptoms) and anxiety (resilience, chronicity, recovery) trajectories, along with two classes of depression trajectories (resilience, chronicity). Key factors predicting resilience in mental health included personality traits, media consumption habits, pre-existing health conditions at the individual level, and asset loss and ongoing adversities at the contextual level. In spite of the widespread impact of the flood, most victims displayed resilience in the face of adversity. Identifying critical factors across various psychological symptoms offers valuable insights for both pre-disaster preparation and post-disaster trans-diagnostic psychological interventions.

Social exclusion is a pervasive phenomenon that can have profound psychological consequences, including increased aggression. Self-compassion can promote psychological resilience, which helps individuals cope with challenges and may help mitigate the aggression triggered by social exclusion. This study aims to explore the relationship between self-compassion and aggression in the context of social exclusion from both state and trait perspectives. First, a cross-sectional study (Study 1) was conducted; the findings revealed that social exclusion is associated with higher levels of aggression, while self-compassion is linked to lower levels of social exclusion and aggression. Further division of self-compassion into its constituent components (self-kindness, mindfulness, and common humanity) revealed additional insights into the specific roles played by these factors. Self-kindness and mindfulness were found to moderate the relationship between social exclusion and aggression, while common humanity was observed to mediate this relationship. To determine the causal relationships among variables in further detail, an experimental study (Study 2) was designed. This study utilized a recall writing task to induce feelings of social exclusion and employed self-compassion writing tasks to elicit self-compassionate responses from participants. The results of this experiment indicated that self-compassion can significantly reduce the aggression triggered by social exclusion, thus suggesting that self-compassion may help alleviate the distress caused by individuals' experiences of social exclusion. The findings of this research have important implications for the development of clinical interventions aimed at reducing the adverse effects of social exclusion.

Theory of mind (ToM) and empathy are considered key components of social cognition that are often impaired in individuals with autism spectrum disorders (ASD). However, it remains unclear whether individuals with high levels of autistic traits exhibit similar impairments in these two functions. This study examined the affective and cognitive domains of ToM and empathy in individuals with high levels of autistic traits. We recruited 84 participants with high levels and 78 participants with low levels of autistic traits to complete a set of self-reported checklists and performance-based tasks capturing affective and cognitive components of ToM and empathy. The results showed that participants with high levels of autistic traits exhibited significant impairments in cognitive but not in affective ToM and empathy compared with their counterparts with low levels of autistic traits. We also found that empathy impairments in people with high levels of autistic traits were confounded by alexithymia and depressive traits.

This study aimed to explore the influence of word priming on mathematical problem solving. In two experiments, participants were required to finish multiplication estimation tasks with a specified estimation strategy under different word priming conditions (Experiment 1: concrete words vs. Experiment 2: abstract words). The results showed that: (1) under the concrete word priming condition, in comparison to neutral, positive word priming improved accuracies (ACCs) when using a down-up strategy (e.g., doing 40 × 80 = 3200 for 43 × 78), while both positive and negative word priming reduced reaction time (RT); (2) under the abstract word priming condition, both positive and negative (vs. neutral) abstract word priming reduced RTs, while individuals' ACCs of completing the estimation task were not influenced by valence. The present study showed that whether concrete words or abstract words were adopted as experimental stimuli, participants' performance of completing mathematical problems was modulated by the valence of the priming word, which led us to develop a better understanding of how arithmetic performance is influenced by word processing.

Research has confirmed that individuals with social anxiety (SA) show an attentional bias towards threat-related stimuli. However, the extent to which this attentional bias depends on top-down cognitive control processes remains controversial. The present study investigated the effect of working memory (WM) load on selective attention to emotional faces in both high social anxiety (HSA) and low social anxiety (LSA) groups by manipulating WM load through the inclusion of forward counting in multiples of two (low load) or backward counting in multiples of seven (high load) within a modified flanker task. In the flanker task, emotional faces (angry, happy, or neutral faces) were used as targets and distractors. A total of 70 participants (34 HSA participants; 36 LSA participants) completed the flanker task in the laboratory. The results showed that the HSA individuals performed worse when responding to angry targets. Relative to LSA individuals, HSA individuals showed interference from angry distractors in the flanker task, resulting in significantly lower accuracy in identifying angry targets compared to happy targets. These results were unaffected by the manipulation of WM load. The findings imply HSA individuals have impaired attentional control, and that their threat-related attentional bias relies more on the bottom-up automatic attentional process.