bluuebunny/crossref_metadata_2025_split huggingface dataset:
Parental burnout and resilience intervention among Chinese parents during the COVID-19 pandemic
Authors: Liu Yixiao , Chee Jing Han , Wang Ying 
Published: December 2022

IntroductionParental burnout is a mental state that combines long-term stress and depression with an overwhelming feeling of parental pressure.MethodsIn Study 1, we conducted a web-based survey of 390 Chinese parents (75.1% mothers) with children aged 1–18 years old (Mean age = 9.05 years, SD = 5.098) to examine the parental burnout during the COVID-19 global pandemic and to identify associated factors during the national lockdown. In Study 2, eight weeks of resilience intervention was administered to 20 parents to compare parental resilience and parental burnout before and after the intervention.ResultsThe correlational study showed that greater parental burnout occurred in parents with the lower educational levels and in parents of school-age children. The risk factors of parental burnout included household burden and children’s interference with work; while protective factors included living materials, family atmosphere, and parent–child meeting frequency. The intervention study showed the effectiveness of meditation intervention in resilience and parental burnout, suggesting that meditation training can effectively increase parental resilience and reduce parental burnout.DiscussionThese findings demonstrate the risk and protective factors associated with parental burnout during the COVID-19 lockdown and highlight the positive role of meditation in mitigating parental burnout.
Does media sentiment affect stock prices? Evidence from China’s STAR market
Authors: Dong Xiuliang , Xu Shiying , Liu Jianing , Tsai Fu-Sheng 
Published: December 2022

ObjectiveThis paper explores the impact of media sentiment on stock prices on the Shanghai Stock Exchange Science and Technology Innovation Board (hereinafter the STAR market) from a behavioral finance perspective.MethodsWe collect Baidu News coverage of STAR-listed firms as the text, and measure text sentiment using a machine learning-based text analysis technique. We then empirically examine the impact of media sentiment on STAR market stock prices from two aspects: IPO pricing efficiency and IPO first-day stock performance.Results(1) Media sentiment has no significant impact on IPO pricing efficiency, thus suggesting that institutional investors participating in such offerings are generally not affected by media sentiment. (2) Optimistic media sentiment has a positive impact on IPO first-day returns, which indicates that individual investors are more easily influenced by media sentiment and therefore likely to abandon their rational judgment. (3) Media sentiment had a greater impact on IPO first-day returns during the COVID-19 pandemic than those before it, which suggests that individual investors are more influenced by media sentiment during pandemics.DiscussionOur findings deepen the understanding of stock price formation on the STAR market, which provide a statistical basis for formulating policy directions and investment strategies.
Flattening the COVID-19 curve: Emotions mediate the effects of a persuasive message on preventive action
Authors: Muis Krista Renee , Sinatra Gale M. , Pekrun Reinhard , Kendeou Panayiota , Mason Lucia , Jacobson Neil G. , Van Tilburg Wijnand Adriaan Pieter , Orcutt Ellen , Zaccoletti Sonia , Losenno Kelsey M. 
Published: December 2022

IntroductionAcross four countries (Canada, USA, UK, and Italy), we explored the effects of persuasive messages on intended and actual preventive actions related to COVID-19, and the role of emotions as a potential mechanism for explaining these effects.MethodsOne thousand seventy-eight participants first reported their level of concern and emotions about COVID-19 and then received a positive persuasive text, negative persuasive text, or no text. After reading, participants reported their emotions about the pandemic and their willingness to take preventive action. One week following, the same participants reported the frequency with which they engaged in preventive action and behaviors that increased the risk of contracting COVID-19.ResultsResults revealed that the positive persuasive text significantly increased individuals’ willingness to and actual engagement in preventive action and reduced risky behaviors 1 week following the intervention compared to the control condition. Moreover, significant differences were found between the positive persuasive text condition and negative persuasive text condition whereby individuals who read the positive text were more willing and actually engaged in more preventive action compared to those who read the negative text. No differences were found, however, at the 1-week follow-up for social distancing and isolation behaviors. Results also revealed that specific discrete emotions mediated relations between the effects of the texts and preventive action (both willing and actual).DiscussionThis research highlights the power of educational interventions to prompt behavioral change and has implications for pandemic-related interventions, government policy on health promotion messages, and future research.
Differences in the moderating role of supervisors’ and subordinates’ cognition on distributive justice in the relationship between psychological contract and organizational identification
Authors: Shen Yan 
Published: December 2022

IntroductionIn the process of social exchange between employees and organizations, psychological contract, organizational identification, and cognition on distributive justice are closely related and have a common psychological basis, that is, the reciprocity of exchange. The question of how a sense of fairness can affect employees’ psychology and behavior has attracted the attention of scholars and managers.MethodsThe predictive role of psychological contract on organizational identification and the moderating role of supervisors’ and subordinates’ cognition on distributive justice in it were investigated. A paired sample of 133 supervisors and 437 direct reports collected from private service-based SMEs was analyzed through structural equation modeling.Results(1) relational psychological contract had a positive predictive effect on organizational identification and transactional psychological contract had a negative predictive effect on organizational identification; (2) subordinates’ cognition on distributive justice played a moderating role in the prediction of psychological contract to organizational identification, and supervisor’s cognition on distributive justice on subordinate’s psychological contract and organizational identification did not reach a significant level.DiscussionThis indicates that there was a significant difference between supervisors’ and subordinates’ cognition on distributive justice.
A theoretical review on the role of positive emotional classroom rapport in preventing EFL students’ shame: A control-value theory perspective
Authors: Kang Chunxiao , Wu Jianxiao 
Published: December 2022

BackgroundSecond/foreign language teaching has been considered as a dialogic and interactive job in which teachers’ and students’ emotions and behaviors are closely connected to each other. When there is a harmonious and positive relationship between the teacher and students in the classroom, many favorable academic outcomes may emerge. A bulk of research has endorsed the power of positive emotional classroom rapport in EFL contexts. However, its role in preventing negative students’ emotions like shame, as an achievement emotion, in terms of perceived control and value tasks has rarely (if any) caught scholarly attention.ObjectiveThis study aimed to provide insights into the role of emotions in L2 education and the way students’ shame can be prevented or curbed in light of a positive emotional classroom rapport.Method/DesignThis article systematically reviewed the theoretical and empirical underpinnings of EFL teachers’ positive emotional classroom rapport and students’ shame in light of the control-value theory.ResultsIn this research, it was asserted that by building a positive emotional classroom rapport EFL teachers can block and even eliminate students’ shame.ImplicationsThe study offers practical implications to EFL teachers, trainers, principals, and researchers by increasing their knowledge and abilities in managing psycho-emotional mechanisms and factors and enriching interpersonal aspects of EFL education.
The impact of machine learning in predicting risk of violence: A systematic review
Authors: Parmigiani Giovanna , Barchielli Benedetta , Casale Simona , Mancini Toni , Ferracuti Stefano 
Published: December 2022

BackgroundInpatient violence in clinical and forensic settings is still an ongoing challenge to organizations and practitioners. Existing risk assessment instruments show only moderate benefits in clinical practice, are time consuming, and seem to scarcely generalize across different populations. In the last years, machine learning (ML) models have been applied in the study of risk factors for aggressive episodes. The objective of this systematic review is to investigate the potential of ML for identifying risk of violence in clinical and forensic populations.MethodsFollowing Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines, a systematic review on the use of ML techniques in predicting risk of violence of psychiatric patients in clinical and forensic settings was performed. A systematic search was conducted on Medline/Pubmed, CINAHL, PsycINFO, Web of Science, and Scopus. Risk of bias and applicability assessment was performed using Prediction model Risk Of Bias ASsessment Tool (PROBAST).ResultsWe identified 182 potentially eligible studies from 2,259 records, and 8 papers were included in this systematic review. A wide variability in the experimental settings and characteristics of the enrolled samples emerged across studies, which probably represented the major cause for the absence of shared common predictors of violence found by the models learned. Nonetheless, a general trend toward a better performance of ML methods compared to structured violence risk assessment instruments in predicting risk of violent episodes emerged, with three out of eight studies with an AUC above 0.80. However, because of the varied experimental protocols, and heterogeneity in study populations, caution is needed when trying to quantitatively compare (e.g., in terms of AUC) and derive general conclusions from these approaches. Another limitation is represented by the overall quality of the included studies that suffer from objective limitations, difficult to overcome, such as the common use of retrospective data.ConclusionDespite these limitations, ML models represent a promising approach in shedding light on predictive factors of violent episodes in clinical and forensic settings. Further research and more investments are required, preferably in large and prospective groups, to boost the application of ML models in clinical practice.Systematic review registration[www.crd.york.ac.uk/prospero/], identifier [CRD42022310410].
Cerebellar correlates of social dysfunction among individuals at clinical high risk for psychosis
Authors: Frosch Isabelle R. , Damme Katherine S. F. , Bernard Jessica A. , Mittal Vijay A. 
Published: December 2022

IntroductionSocial deficits are a significant feature among both individuals with psychosis and those at clinical high-risk (CHR) for developing psychosis. Critically, the psychosis risk syndrome emerges in adolescence and young adulthood, when social skill development is being fine-tuned. Yet, the underlying pathophysiology of social deficits in individuals at CHR for psychosis remains unclear. Literature suggests the cerebellum plays a critical role in social functioning. Cerebellar dysfunction in psychosis and CHR individuals is well-established, yet limited research has examined links between the cerebellum and social functioning deficits in this critical population.MethodIn the current study, 68 individuals at CHR for developing psychosis and 66 healthy controls (HCs) completed social processing measures (examining social interaction, social cognition, and global social functioning) and resting-state MRI scans. Seed-to-voxel resting-state connectivity analyses were employed to examine the relationship between social deficits and lobular cerebellar network connectivity.ResultsAnalyses indicated that within the CHR group, each social domain variable was linked to reduced connectivity between social cerebellar subregions (e.g., Crus II, lobules VIIIa and VIIIb) and cortical regions (e.g., frontal pole and frontal gyrus), but a control cerebellar subregion (e.g., lobule X) and was unrelated to these social variables.DiscussionThese results indicate an association between several cerebellar lobules and specific deficits in social processing. The cerebellum, therefore, may be particularly salient to the social domain and future research is need to examine the role of the cerebellum in psychosis.
Optimal parameter determination of repetitive transcranial magnetic stimulation for treating treatment-resistant depression: A network meta-analysis of randomized controlled trials
Authors: Li Jinbiao , Cui Liqian , Li Hao 
Published: December 2022

BackgroundMany studies have shown the efficacy of repetitive transcranial magnetic stimulation (rTMS) in treatment-resistant depression (TRD). However, the choice of different parameters has been a challenging issue.MethodsPubMed, Cochrane, and Embase databases were searched for relevant studies until June 20, 2022. The treatment efficacy was evaluated by the relative risk (RR) using the pairwise test for response and remission rates. Subgroup and sensitivity analyses were conducted to explore the primary outcome differences and to assess the reliability of the results.ResultsThirty-seven trials comprising 2120 participants with TRD were included. The more efficacious interventions compared to sham controls included high-frequency left followed by low-frequency right sup-threshold (HFL-LFR-sup-rTMS, RR = 5.29, 95% CI: 1.24–22.50), high-frequency left sup-threshold (HFL-sup-rTMS, RR = 2.97, 95% CI: 1.74–5.05), low-frequency right sup-threshold (LFR-sup-rTMS, RR = 2.72, 95% CI: 1.50–4.90), low-frequency right followed by high-frequency left sup-threshold (LFR-HFL-sup-rTMS, RR = 2.71, 95% CI: 1.62–4.53), and high-frequency left sub-threshold (HFL-sub-rTMS, RR = 1.91, 95% CI: 1.18–3.10) rTMS. The estimated relative ranking of treatments suggested that HFL-LFR-sup-rTMS (84.4%) might be the most efficacious among all rTMS strategies. No treatments showed a lower acceptability than the sham control.LimitationsSubgroup analysis was not conducted to compare the efficacy of rTMS treatment between bipolar and unipolar depression, and small-study effects possibly introduced bias.ConclusionTreatment with HFL-LFR-sup-rTMS, HFL-sup-rTMS, LFR-sup-rTMS, LFR-HFL-sup-rTMS, or HFL-sub-rTMS is more efficacious than the sham control. HFL-LFR-sup-rTMS and HFL-sup-rTMS may be the two best among the most efficacious rTMS treatments.Systematic review registration[https://www.crd.york.ac.uk/PROSPERO], identifier [CRD42022334481].
Proximity to major roads and the incidence of osteoporotic fractures in elderly women: The BONE study in Beijing
Authors: Ren Yun , Li Weishi , Chen Zhongqiang , Liu Jue , Fan Dongwei 
Published: December 2022

BackgroundThere is growing evidence to suggest that living near major roads (and suffering from the air pollution of urban streets) can have an adverse effect on bone health. However, little is known about its relationship to fractures caused by osteoporosis.ObjectiveThis study was designed to investigate the relationship between residents living near major roads and the incidence of osteoporotic fractures.MethodsA retrospective cohort of 529 subjects was established based on community populations in older women aged 65–91. All participants lived in Beijing between September 27, 2007 and September 26, 2017. The distance between the residential sites of the subjects and the main roads was determined by the authors. Osteoporotic fracture diagnosis was based on medical histories and imaging examinations (DXA and X-rays). The Cox proportional hazard model was used to assess the association between traffic proximity and osteoporotic fractures, with suitable adjustments for individual and background factors.ResultsThe age range of all participants was 65–91 years, with an average age of 75.8 years (and a standard deviation 6.8 years). Of these, 19 (3.59%) suffered from diabetes, and 48 (9%) had hypertension; 85 (14%) families had annual incomes below US $30,000 and 402 (76%) had received a secondary school education or higher. Nearly 25% of people lived within 50 m of a main road, while 50% lived within 300 m. Between 2007 and 2017, a total of 96 osteoporotic fractures were observed. For people living &lt;50 m from a main road, the adjusted hazard ratio (HR) for osteoporotic fractures was 2.509 (95% CI 1.345–4.680), while it was 1.830 (95% CI 1.029–3.255) for those living at a distance of 50–300 m from a main road vs. those living further than 300 m away.ConclusionIn this community-based cohort, living near a major road was associated with a higher incidence of osteoporotic fractures.
Comparative efficacy of exercise modalities for cardiopulmonary function in hemodialysis patients: A systematic review and network meta-analysis
Authors: Zang Wanli , Fang Mingqing , He He , Mu Liang , Zheng Xiaoqin , Shu Heng , Ge Nan , Wang Su 
Published: December 2022

BackgroundTo provide reliable evidence to exercise rehabilitation therapists and clinicians, we compared and analyzed the effects of different exercise modalities on cardiopulmonary function in hemodialysis patients using Bayesian network meta-analysis.MethodsPubMed, OVID, Web of Science, Cochrane Library, Embase, Scopus, CINAHL, SPORT Discus, SinoMed, CNKI, Wanfang, and VIP were searched from inception to July 20, 2022. We included randomized controlled trials comparing 12 exercise modalities to improve cardiorespiratory fitness in hemodialysis patients. All statistical analysis was performed using STATA and R.ResultA total of 82 randomized controlled trials involving 4146 maintenance hemodialysis patients were included in this study. The pair-wise meta-analysis showed that all exercise modalities had a positive effect on all indicators of cardiorespiratory capacity. The network meta-analysis demonstrated that Blood flow restriction training (BFRT), Cycle exercise (CE), Inspiratory muscle training (IMT), Combined aerobic and resistance training (CT), and Aerobic training (AT) were significantly better than usual care for 6-min walkability; Medium intensity continuous training (MICT), CT, CE, and AT were considerably better than usual care for VO2Peak; body and mind training (MBT) and CT significantly improved SBP compared to usual care; and only MBT was significantly better than usual care for DBP. Both the two-dimensional plot and the radar plot demonstrated that CT had the best combined-effect on each index of cardiorespiratory fitness. Subgroup and sensitivity analyses demonstrated the robustness of the results. The evidence was mainly “low” to “very low” for this network meta-analysis.ConclusionThere is no one exercise that can achieve the best effect on all of the outcomes. The benefits of MBT in decreasing arterial blood pressure are unsurpassed by other exercise methods. The intervention effect of the CT is better and more stable. Electrical muscle stimulation training (MEST) can be employed in individuals who do not wish to exercise actively but may cause an increase in blood pressure. On the basis of the characteristics of different exercise types, guidelines developers, clinicians, and patients may employ them appropriately.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/#recordDetails.
Prediction of suicidal ideation among Chinese college students based on radial basis function neural network
Authors: Liao Shiyi , Wang Yang , Zhou Xiaonan , Zhao Qin , Li Xiaojing , Guo Wanjun , Ji Xiaoyi , Lv Qiuyue , Zhang Yunyang , Zhang Yamin , Deng Wei , Chen Ting , Li Tao , Qiu Peiyuan 
Published: December 2022

BackgroundSuicide is one of the leading causes of death for college students. The predictors of suicidal ideation among college students are inconsistent and few studies have systematically investigated psychological symptoms of college students to predict suicide. Therefore, this study aims to develop a suicidal ideation prediction model and explore important predictors of suicidal ideation among college students in China.MethodsWe recruited 1,500 college students of Sichuan University and followed up for 4 years. Demographic information, behavioral and psychological information of the participants were collected using computer-based questionnaires. The Radial Basis Function Neural Network (RBFNN) method was used to develop three suicidal ideation risk prediction models and to identify important predictive factors for suicidal ideation among college students.ResultsThe incidence of suicidal ideation among college students in the last 12 months ranged from 3.00 to 4.07%. The prediction accuracies of all the three models were over 91.7%. The area under curve scores were up to 0.96. Previous suicidal ideation and poor subjective sleep quality were the most robust predictors. Poor self-rated mental health has also been identified to be an important predictor. Paranoid symptom, internet addiction, poor self-rated physical health, poor self-rated overall health, emotional abuse, low average annual household income per person and heavy study pressure were potential predictors for suicidal ideation.ConclusionsThe study suggested that the RBFNN method was accurate in predicting suicidal ideation. And students who have ever had previous suicidal ideation and poor sleep quality should be paid consistent attention to.