Factors Influencing Adjustment in Physical Education and Sports Learning after the COVID-19 Pandemic among Students in the Faculty of Education at Thailand National Sports University

The purpose of this study is to examine factors influencing the adjustments made to physical education and sports learning among students in the Faculty of Education at Thailand National Sports University after the COVID-19 pandemic. 595 students were selected using stratified random sampling from undergraduates in the Faculty of Education at Thailand National Sports University during Academic Year 2020. The data were then analyzed in terms of descriptive statistics, Pearson correlation, and Stepwise Multiple Regression Analysis. The potential influences to the adjustments made to physical education and sports learning after the COVID-19 pandemic among students in Faculty of Education at Thailand National Sports University comprised these 5 variables: 1) activities to promote knowledge of COVID-19 prevention within the university; 2) the university’s policies promoting the prevention of COVID-19; 3) facilities within the university; 4) imitating a classmate’s adjusted behaviors; and 5) learning in class. These 5 factors could predict the adjustments in physical education and sports learning after the COVID-19 pandemic in the studied group with the percentage of 73.60. The significance predicted by equations were as follows: In terms of raw scores: Y/ = -0.175 + 0.384 (X3) + 0.265 (X1) + 0.224 (X4) + 0.084 (X5) + 0.064 (X6) In term of standard scores: Z / Y = 0.357 (ZX3) + 0.356 (ZX1) + 0.207 (ZX4) + 0.067 (ZX5) + 0.062 (ZX6)

Predictors associated with neurological recovery after anterior decompression with fusion for degenerative cervical myelopathy

Background Anterior decompression with fusion (ADF) has often been performed for degenerative cervical myelopathy (DCM) in patients with poor cervical spine alignment and/or anterior cord compression. We aimed to identify clinical and radiological predictors associated with neurological recovery after ADF. Methods This post-hoc analysis from a prospective multicenter study included patients who were scheduled for ADF for DCM. The patients who received other surgeries (laminoplasty, posterior decompression and fusion) were excluded. The associations between baseline clinical and radiographic variables (age, sex, body mass index, etiology, cervical lordosis, range of motion, C7 slope, C2-7 sagittal vertical axis [SVA], thoracic kyphosis [TK], lumbar lordosis, sacral slope, SVA, pelvic tilt, T1 pelvic angle [TPA], the Japanese Orthopedic Association score for the assessment of cervical myelopathy [C-JOA], European Quality of Life Five Dimensions Scale [EQ-5D], Neck Disability Index [NDI], Physical Component Summary of the SF-36 [PCS], and Mental Component Summary of the SF-36) and the recovery rates as the outcome variables were investigated in the univariate regression analysis. Then, the independent predictors for increased recovery rates were evaluated using a stepwise multiple regression analysis. Results In total, 37 patients completed the 1 year follow-up. The recovery rate was significantly correlated with SVA (p = 0.001) and TPA (p = 0.03). Univariate regression analyses showed that age (Regression coefficient = − 0.92, p = 0.049), SVA (Regression coefficient = − 0.57, p = 0.004) and PCS (Regression coefficient = 0.80, p = 0.03) score were significantly associated with recovery rate. Then, a stepwise multiple regression analysis identified the independent predictors of recovery rate after ADF as TK (p = 0.01), PCS (p = 0.03), and SVA (p = 0.03). According to this prediction model, the following equation was obtained: recovery rate = − 8.26 + 1.17 × (TK) − 0.45 × (SVA) + 0.85 × (PCS) (p = 0.002, R2 = 0.44). Conclusion Patients with lower TK, lower PCS score, and higher SVA were more likely to have poor neurological recovery after ADF. Therefore, patients with DCM and these predictors who undergo ADF should be warned about poor recovery and be required to provide adequate informed consent.

Prediction of cycloplegic refraction for noninvasive screening of children for refractive error

Detection of refractive error in children is crucial to avoid amblyopia and its impact on quality of life. We here performed a retrospective study in order to develop prediction models for spherical and cylinder refraction in children. The enrolled 1221 eyes of 617 children were divided into three groups: the development group (710 eyes of 359 children), the validation group (385 eyes of 194 children), and the comparison group (126 eyes of 64 children). We determined noncycloplegic and cycloplegic refraction values by autorefractometry. In addition, several noncycloplegic parameters were assessed with the use of ocular biometry. On the basis of the information obtained from the development group, we developed prediction models for cycloplegic spherical and cylinder refraction in children with the use of stepwise multiple regression analysis. The prediction formulas were validated by their application to the validation group. The similarity of noncycloplegic and predicted refraction to cycloplegic refraction in individual eyes was evaluated in the comparison group. Application of the developed prediction models for spherical and cylinder refraction to the validation group revealed that predicted refraction was significantly correlated with measured values for cycloplegic spherical refraction (R = 0.961, P < 0.001) or cylinder refraction (R = 0.894, P < 0.001). Comparison of noncycloplegic, cycloplegic, and predicted refraction in the comparison group revealed that cycloplegic spherical refraction did not differ significantly from predicted refraction but was significantly different from noncycloplegic refraction, whereas cycloplegic cylinder refraction did not differ significantly from predicted or noncycloplegic values. Our prediction models based on ocular biometry provide estimates of refraction in children similar to measured cycloplegic spherical and cylinder refraction values without the application of cycloplegic eyedrops.

Predictors associated with neurological recovery after anterior decompression with fusion for degenerative cervical myelopathy

Background: Anterior decompression with fusion (ADF) has often been performed for degenerative cervical myelopathy (DCM) in patients with poor cervical spine alignment and/or anterior cord compression. We aimed to identify clinical and radiological predictors associated with neurological recovery after ADF.Methods: This post-hoc analysis from a prospective multicenter study included patients who were scheduled for ADF for DCM. The patients who received other surgeries (laminoplasty, posterior decompression and fusion) were excluded. The associations between baseline clinical and radiographic variables (age, sex, body mass index, etiology, cervical lordosis, range of motion, C7 slope, C2-7 sagittal vertical axis [SVA], thoracic kyphosis [TK], lumbar lordosis, sacral slope, SVA, pelvic tilt, T1 pelvic angle [TPA], the Japanese Orthopedic Association score for the assessment of cervical myelopathy [C-JOA], European Quality of Life Five Dimensions Scale [EQ-5D], Neck Disability Index [NDI], Physical Component Summary of the SF-36 [PCS], and Mental Component Summary of the SF-36) and the recovery rates as the outcome variables were investigated in the univariate regression analysis. Then, the independent predictors for increased recovery rates were evaluated using a stepwise multiple regression analysis.Results: In total, 37 patients completed the 1-year follow-up. The recovery rate was significantly correlated with SVA (p = 0.001) and TPA (p = 0.03). Univariate regression analyses showed that age (r = -0.92, p = 0.049), SVA (r = -0.57, p = 0.004) and PCS (r = -0.80, p = 0.03) score were significantly associated with recovery rate. Then, a stepwise multiple regression analysis identified the independent predictors of recovery rate after ADF as TK (p = 0.01), PCS (p = 0.03), and SVA (p = 0.03). According to this prediction model, the following equation was obtained: recovery rate = –8.26 + 1.17 × (TK) – 0.45 × (SVA) + 0.85 × (PCS) (p = 0.002, R2 = 0.44).Conclusion: Patients with lower TK, lower PCS score, and higher SVA were more likely to have poor neurological recovery after ADF. Therefore, patients with DCM and these predictors who undergo ADF should be warned about poor recovery and be required to provide adequate informed consent.

Secondary Traumatic Stress and Burnout in Healthcare Workers during COVID-19 Outbreak

(1) Background: The present study aims to assess the level of professional burnout and secondary traumatic stress (STS), and to identify potential risk or protective factors among health care workers (HCWs) during the coronavirus disease 2019 (COVID-19) outbreak.; (2) Methods: This cross-sectional study, based on an online survey, collected demographic data and mental distress outcomes from 184 HCWs from 1 May 2020, to 15 June 2020, from 45 different countries. The degree of STS, perceived stress and burnout was assessed using the Secondary Traumatic Stress Scale (STSS), the Perceived Stress Scale (PSS) and Maslach Burnout Inventory Human Service Survey (MBI-HSS) respectively. Stepwise multiple regression analysis was performed to identify potential risk and protective factors for STS; (3) Results: 184 HCWs (M = 90; Age mean: 46.45; SD: 11.02) completed the survey. A considerable proportion of HCWs had symptoms of STS (41.3%), emotional exhaustion (56.0%), and depersonalization (48.9%). The prevalence of STS was 47.5% in frontline HCWs while in HCWs working in other units it was 30.3% (p < 0.023); 67.1% for the HCWs exposed to patients’ death and 32.9% for those HCWs which were not exposed to the same condition (p < 0.001). In stepwise multiple regression analysis, perceived stress, emotional exhaustion, and exposure to patients’ death remained as significant predictors in the final model for STS (adjusted R2 = 0.537, p < 0.001); (4) Conclusions: During the current COVID-19 pandemic, HCWs facing patients’ physical pain, psychological suffering, and death are more likely to develop STS.

Cyber Bullying and Self-Disclosure: The predicting role of Cyber Bullying

The research aims to examine the relationship between cyber bullying and self-disclosure. Participants of the study were 480 high school students who answered the scales. According to the results, the dimensions of cyber bullying; verbal cyber-aggression and exclusion, impersonation and visual-sexual cyber-aggression are negatively related to self-disclosure. Stepwise multiple regression analysis results showed that dimensions of cyber bullying affected self-disclosure and verbal cyber-aggression and exclusion was a strong predictor of self-disclosure. The findings of the research were discussed within the framework of literature.

Secondary traumatic stress and burnout in healthcare workers during COVID-19 outbreak

Aims: To assess the level of professional burnout and secondary traumatic stress, and to identify potential risk or protective factors among health care workers (HCWs) during the coronavirus disease 2019 (COVID-19) outbreak. Materials and Methods: This cross-sectional study, based on an online survey, collected demographic data and mental distress outcomes from 184 HCWs from May 1st, 2020, to June,15th, 2020, from 45 different countries. The degree of secondary traumatization was assessed using the Secondary Traumatic Stress Scale (STSS), the degrees of perceived stress and burnout were assessed with Perceived Stress Scale (PSS) and Maslach Burnout Inventory Human Service Survey (MBI-HSS) respectively. Stepwise multiple regression analysis was performed to identify potential risk and protective factors for STS. Results: 184 HCWs (M=90; Age mean: 46.45; SD:11.02) completed the survey. A considerable proportion of HCWs had symptoms of secondary traumatic stress (41.3%), emotional exhaustion (56.0%), and depersonalization (48.9%). The prevalence of secondary traumatic stress in frontline HCWs was 47.5% while in HCWs working in other units it was 30.3% (p<.023); additionally, the prevalence of the same outcome was 67.1% for the HCWs exposed to patients' death and 32.9% for those HCWs which were not exposed to the same condition (p<.001). In stepwise multiple regression analysis, perceived stress, emotional exhaustion and exposure to patients' death remained as significant predictors in the final model for secondary traumatic stress (adjusted R2 =0.537, p<0.001). Conclusions: During the current COVID-19 pandemic, HCWs facing patients' physical pain, psychological suffering, and death are more likely to develop secondary traumatization.

The ‘Reading the mind in the Eyes' test and emotional intelligence

The ‘Reading the Mind in the Eyes' test (Eyes Test) has been widely used to measure theory of mind (ToM) or the ability to recognize the thoughts and feelings of others. Although previous studies have analysed its relationship with the ability to perceive emotions, the potential links with more complex emotional abilities remain unclear. The aim of the present research was to analyse the relationship between the Eyes Test and each of the emotional intelligence (EI) branches: perceiving, facilitating, understanding and managing emotions. In addition, we were interested in studying these relationships as a function of the Eyes Test difficulty. Eight hundred and seventy-four participants completed the Eyes Test and the Mayer–Salovey–Caruso Emotional Intelligence Test. A stepwise multiple regression analysis for the total score on the Eyes Test revealed that the best fitting model included the understanding, perceiving and managing emotion branches, with the understanding branch being the one most strongly associated with performance on the Eyes Test. Interestingly, stepwise multiple regression analysis for the easiest items of the Eyes Test revealed the same predictors, but, in the case of the most difficult items only the understanding branch was a predictor. These outcomes were not moderated by the influence of gender. Our findings support the notion that the Eyes Test can be used as a ToM task and that it is associated with complex EI abilities. Limitations and future lines of investigation are discussed.

Understanding the Correlates of Donor Intention: A Comparison of Local, National, and International Charity Destinations

The United Kingdom is generous toward charitable donations, and this commitment appears robust against a background of economic uncertainty. While prior work has identified a clear preference for domestic over international causes, research has yet to identify the range of variables that significantly correlate with this important element of charitable choice. A survey of 1,004 U.K. residents was designed to assess willingness to donate to local, national, and international causes. For each destination, stepwise multiple regression analysis identified the key variables that correlate to an individual’s willingness to donate. Findings suggest that donor willingness correlates with levels of trust, preferred types of charitable cause, and donation channels. In contrast, the role of donor demographics is relatively limited. The findings suggest some commonality in the variables that associate most significantly with willingness to donate locally and nationally, but those relating to international donation intention are relatively distinct.

Factors Affecting on the Preserving Thai Culture of Undergraduate Students in Thailand National Sports University

Purpose to Study Factors Affecting on the Preserving Thai culture of Undergraduate students in Thailand National Sports University. The Subjects of 210 were Stratified Random Sampling from undergraduate students of Thailand National Sports University Chonburi Campus in Academic Years 2019. The Data were then analyzed in terms of Pearson Correlation amd Stepwise Multiple Regression Analysis. The factors which could the Preserving Thai culture of Undergraduate students in Thailand National Sports University comprised these 4 variables: Participating in Cultural activities with educational institutions, Cultural data sources, Attention and valuableness of culture and Cultural information perception.These 4 factors could predict the Preserving Thai culture of Undergraduate students in Thailand National Sports University about percentage of 72.30. The significantly predicted equations were as follows: In term of raw scores were: Y/ = -.593 + .398 (X6) + .318 (X4) +. 273 (X3) + .166 (X5) In term of standard scores were: Z/Y = .392 (ZX6) + .258 (ZX4) +. 254 (ZX3) + .143 (ZX5)