Higher Scores Research Articles

Predicting early rebleeding and mortality after endoscopic hemostasis of esophagogastric varices: Diagnostic performance of aspartate aminotransferase-to-platelet ratio index and model for end-stage liver disease-Na score.

Endoscopic variceal ligation and sclerotherapy are recommended for esophagogastric variceal bleeding (EGVB) in cirrhosis but can be complicated by early rebleeding and death. This study aimed to identify noninvasive markers accurately predicting early rebleeding and mortality after endoscopic hemostasis for EGVB. Among 116 patients with endoscopically confirmed EGVB and endoscopic hemostasis, various noninvasive markers were calculated, and their predictive accuracy was compared by receiver-operating characteristic curve analysis. Endpoints included 5-day rebleeding, 5-day mortality, 6-week rebleeding, and 6-week mortality. The median age was 63 years. Child-Pugh class B and C patients accounted for 40.5% and 34.5%, respectively. Only the aspartate aminotransferase-to-platelet ratio index (APRI) significantly predicted 5-day rebleeding, with an area under the curve (AUC) of 0.777 (95% confidence interval [CI]: 0.537-1). The model for end-stage liver disease-Na (MELD-Na) score showed good predictive accuracy for 5-day mortality (AUC: 0.839, 95% CI: 0.681-0.997), 6-week rebleeding (AUC: 0.797, 95% CI: 0.663-0.932), and 6-week mortality (AUC: 0.888, 95% CI: 0.797-0.979). Patients with cirrhosis with a high APRI and MELD-Na score were at high risk of early rebleeding and death after EGVB. Allocating appropriate monitoring and care for those patients is necessary.

Associations Between Sociodemographic Characteristics, eHealth Literacy, and Health-Promoting Lifestyle Among University Students in Taipei: Cross-Sectional Validation Study of the Chinese Version of the eHealth Literacy Scale.

The popularization of the internet and rapid development of mobile devices have led to an increased inclination and opportunities to obtain health-related information online. The eHealth Literacy Scale (eHEALS), widely used for measuring eHealth literacy, assesses an individual's ability to search, understand, appraise, and use eHealth information. However, the Chinese version of the eHEALS multiple-factor model remains to be validated, and the correlation between eHEALS and the health-promoting lifestyle profile (HPLP) among university students is rarely explored in Taiwan. This study aimed to examine the fit, validity, and reliability of the Chinese eHEALS multiple-factor model and to clarify the predictive effects of eHEALS on the HPLP among university students. University students in Taipei, the capital of Taiwan, were recruited, and 406 valid questionnaires including sociodemographic characteristics, eHEALS, and HPLP responses were collected. Confirmatory factor analysis was performed to validate the Chinese eHEALS. Independent sample t test, 1-way ANOVA, and multiple linear regression analyses were conducted to examine the relationship between sociodemographic variables and the HPLP. Pearson product-moment correlation and binary logistic regression analyses were performed to ascertain the predictive effects of eHEALS on the HPLP. The Chinese eHEALS exhibited an optimal fit when delineated into the search, usage, and evaluation 3-factor model (comparative fit index=0.991, Tucker-Lewis index=0.984, root mean square error of approximation=0.062), and its validity and reliability were confirmed. The mean eHEALS score of university students was 3.17/4.00 (SD 0.48) points, and the score for the evaluation subscale was the lowest (mean 3.08, SD 0.56 points). Furthermore, there were significant sex, institution orientation, daily reading time, daily screen time, primary information channel, and perceived health status differences in the HPLP: male participants (t404=2.346, P=.02), participants attending general university (t404=2.564, P=.01), those reading ≥1 hour daily (F2,403=17.618, P<.001), those spending <3 hours on mobile devices or computers daily (F2,403=7.148, P<.001), those acquiring information from others (t404=3.892, P<.001), and those with a good perceived health status (F2,403=24.366, P<.001) had a significantly higher score. After adjusting for sociodemographic variables, the eHEALS score remained an independent predictor of the HPLP. Compared to students with relatively high eHEALS scores, those with relatively low eHEALS scores had a 3.37 times risk of a negative HPLP (adjusted odds ratio [OR]=3.37, 95% CI 1.49-7.61), which could explain 14.7%-24.4% of the variance (Cox-Snell R2=0.147, Nagelkerke R2=0.244, P=.004). There is room for improvement in eHealth literacy among university students in Taipei. eHEALS may be used to screen students who require HPLP improvement, thereby providing appropriate eHealth literacy training programs, particularly those targeting evaluation literacy. Additionally, the 3-factor model of the Chinese eHEALS used in this study results in more definite scale content, thus increasing the practicality and applicability of this scale in health-promoting studies.

Primary caregiver burden and undiagnosed mental health illness in out-patients with inflammatory bowel disease-A multicentric prospective survey from the IBD Emerging Nations' Consortium.

Mental health is an overlooked aspect of inflammatory bowel disease (IBD) patient care with limited data from the developing world. The primary caregiver burden is expected to be high, but has not been evaluated. We conducted a questionnaire-based survey of consecutive out-patients with no diagnosed mental health illness (n = 289) and their primary caregivers (n = 247) from 10 centers across eight countries (Bangladesh, India, Iran, Malaysia, Myanmar, Nepal, Pakistan, Thailand) of IBD-Emerging Nations' Consortium (ENC). Patients were assessed for anxiety (PHQ-9), depression (GAD-7), quality of life (SIBDQ, IBDCOPE) and medication adherence (MMAS-8). Caregiver burden was assessed by Zarit-Burden Interview (ZBI), Ferrans and Power Quality of Life (QOL) scores and coping strategies (BRIEF-COPE). Multivariate logistic regression and correlation analyses were performed to identify risk factors and theimpact on QOL in patients and caregivers. Moderate to severe depression and anxiety were noted in 33% (severe 3.5%) and 24% (severe 3.8%) patients, respectively. The risk factor for depression was active disease (p < 0.001, OR6.3), while male gender (p = 0.01, OR0.45) and medication adherence (p = 0.003, OR0.75) were protective. Risk factors for anxiety were unmarried status (p = 0.015, OR2.3), female gender (p = 0.004, OR0.41), steroid use (p = 0.016, OR2.1) and active disease (p < 0.001, OR7.97). High GAD-7 and PHQ-9 scores positively correlated with high disease activity (r = 0.55, p < 0.001, Crohn's disease; r = 0.52, p < 0.001 ulcerative colitis) and negatively with SIBDQ (r = - 0.63, p < 0.001; r = - 0.64, p < 0.001 CD; r = 0.36, p = 0.001,UC). Sixty-five percent (159/249) primary caregivers reported high burden (ZBI ≥ 21), which positively correlated with low educational status and low-income and negatively with QOL(r = - 0.33, p < 0.001). The primary adaptive coping strategy among caregivers was religion, while maladaptive strategy was self-distraction. Nearly two-thirds of primary caregivers reported high burden of care. There was also high prevalence of undiagnosed depression and anxiety in IBD out-patients. This highlights the need for patient-caregiver integrated mental-health services in the developing world.

Machine Learning for Movement Pattern Changes during Kinect-Based Mixed Reality Exercise Programs in Women with Possible Sarcopenia: Pilot Study.

Sarcopenia is a muscle wasting condition that affects elderly individuals. It can lead to changes in movement patterns, which can increase the risk of falls and other injuries. Elderly women participants aged ≥65 years who could walk independently were recruited and classified into two groups based on knee extension strength (KES). Participants with low KES scores were assigned to the possible sarcopenia group (PSG, n=7) and an 8-week exercise intervention was implemented. Healthy seniors with high KES scores were classified as the reference group (RG, n=4), and a 3-week exercise intervention was conducted. Kinematic movement data were recorded during the intervention period. All participants' exercise repetitions were used in the data analysis (number of data points =1,128). The PSG showed significantly larger movement patterns in knee rotation during wide squats compared to the RG, attributed to weakened lower limb strength. The voting classifier, trained on the movement patterns from wide squats, determined that significant differences in overall movement patterns between the two groups persisted until the end of the exercise intervention. However, after the exercise intervention, significant improvements in lower limb strength in the PSG resulted in reduced knee rotation ROM and Max, thereby stabilizing movements and eliminating significant differences with the RG. This study suggests that exercise interventions can modify the movement patterns in elderly individuals with possible sarcopenia. These findings provide fundamental data for developing an exercise management system that remotely tracks and monitors the movement patterns of older adults during exercise activities.

Spatial intra-tumour heterogeneity and treatment-induced genomic evolution in oesophageal adenocarcinoma: implications for prognosis and therapy

BackgroundOesophageal adenocarcinoma (OAC) is a highly heterogeneous cancer with poor survival. Standard curative treatment is chemotherapy with or without radiotherapy followed by oesophagectomy. Genomic heterogeneity is a feature of OAC and has been linked to treatment resistance.MethodsWhole-genome sequencing data from 59 treatment-naïve and 18 post-treatment samples from 29 OAC patients was analysed. Twenty-seven of these were enrolled in the DOCTOR trial, sponsored by the Australasian Gastro-Intestinal Trials Group. Two biopsies from each treatment-naïve tumour were assessed to define ‘shared’ (between both samples) and ‘private’ (present in one sample) mutations.ResultsMutational signatures SBS2/13 (APOBEC) and SBS3 (BRCA) were almost exclusively detected in private mutation populations of treatment-naïve tumours. Patients presenting these signatures had significantly worse disease specific survival. Furthermore, mutational signatures associated with platinum-based chemotherapy treatment as well as high platinum enrichment scores were only detected in post-treatment samples. Additionally, clones with high putative neoantigen binding scores were detected in some treatment-naïve samples suggesting immunoediting of clones.ConclusionsThis study demonstrates the high intra-tumour heterogeneity in OAC, as well as indicators for treatment-induced changes during tumour evolution. Intra-tumour heterogeneity remains a problem for successful treatment strategies in OAC.

Socioeconomic area deprivation index is not associated with postoperative complications following revision total hip and knee joint arthroplasty

IntroductionRevision hip and knee total joint arthroplasty (TJA) carries a high burden of postoperative complications, including surgical site infections (SSI), venous thromboembolism (VTE), reoperation, and readmission, which negatively affect postoperative outcomes and patient satisfaction. Socioeconomic area-level composite indices such as the area deprivation index (ADI) are increasingly important measures of social determinants of health (SDoH). This study aims to determine the potential association between ADI and SSI, VTE, reoperation, and readmission occurrence 90 days following revision TJA. Methods1047 consecutive revision TJA patients were retrospectively reviewed. Complications, including SSI, VTE, reoperation, and readmission, were combined into one dependent variable. ADI rankings were extracted using residential zip codes and categorized into quartiles. Univariate and multivariate logistic regressions were performed to analyze the association of ADI as an independent factor for complication following revision TJA. ResultsDepression (p = 0.034) and high ASA score (p < 0.001) were associated with higher odds of a combined complication postoperatively on univariate logistic regression. ADI was not associated with the occurrence of any of the complications recorded following surgery (p = 0.092). ASA remained an independent risk factor for developing postoperative complications on multivariate analysis. ConclusionAn ASA score of 3 or higher was significantly associated with higher odds of developing postoperative complications. Our findings suggest that ADI alone may not be a sufficient tool for predicting postoperative outcomes following revision TJA, and other area-level indices should be further investigated as potential markers of social determinants of health.

Enhancing the Performance of Vocational Education in the Digital Economy with the Application of Fuzzy Logic Algorithm

Vocational education improves the skill and efficiency of students/learners in addition to their regular courses. Within a short period of such courses, the performance has to be improved for providing professional development. In this article, the fuzzy-based performance improvement validation method (FPIVM) is introduced. This method excels in analyzing the performance of instructor-centered vocational education improvements for varied learners. In this process, the differential performance between various training and learning sessions is identified for identifying the gap in skill improvement. The fuzzy process operates using continuous intervals for performance measures based on instructor and learner scores. This is synchronized based on the existing learner’s skill and the instructor’s efficiency in meeting the vocational course study level. In particular, the fuzzification over the independent (learner and trainer) skill score is updated for new intervals. Such skill scores are classified as high or low compared to the previous outcomes. This improves the change in instructor or mode of education for successive sessions. Thus, the quality and performance of the sessions are retained unanimously for providing better outcomes. The outcomes are revised after each session for sustaining a high learning score regardless of student density.

Revolutionizing anemia detection: integrative machine learning models and advanced attention mechanisms

This study addresses the critical issue of anemia detection using machine learning (ML) techniques. Although a widespread blood disorder with significant health implications, anemia often remains undetected. This necessitates timely and efficient diagnostic methods, as traditional approaches that rely on manual assessment are time-consuming and subjective. The present study explored the application of ML – particularly classification models, such as logistic regression, decision trees, random forest, support vector machines, Naïve Bayes, and k-nearest neighbors – in conjunction with innovative models incorporating attention modules and spatial attention to detect anemia. The proposed models demonstrated promising results, achieving high accuracy, precision, recall, and F1 scores for both textual and image datasets. In addition, an integrated approach that combines textual and image data was found to outperform the individual modalities. Specifically, the proposed AlexNet Multiple Spatial Attention model achieved an exceptional accuracy of 99.58%, emphasizing its potential to revolutionize automated anemia detection. The results of ablation studies confirm the significance of key components – including the blue-green-red, multiple, and spatial attentions – in enhancing model performance. Overall, this study presents a comprehensive and innovative framework for noninvasive anemia detection, contributing valuable insights to the field.

AcornHRD: an HRD algorithm highly associated with anthracycline-based neoadjuvant chemotherapy in breast cancer in China

PurposeOur study aimed to develop and validate a homologous recombination deficiency (HRD) scoring algorithm in the Chinese breast cancer population.Methods and materialsNinety-six in-house breast cancer (BC) samples and 6 HRD-positive standard cells were analyzed by whole-genome sequencing (WGS). Besides, 122 BCs from the TCGA database were down-sampled to ~ 1X WGS. We constructed an algorithm named AcornHRD for HRD score calculated based on WGS at low coverage as input data to estimate large-scale copy number alteration (LCNA) events on the genome. A clinical cohort of 50 BCs (15 cases carrying BRCA mutation) was used to assess the association between HRD status and anthracyclines-based neoadjuvant treatment outcomes.ResultsA 100-kb window was defined as the optimal size using 41 in-house cases and the TCGA dataset. HRD score high threshold was determined as HRD score ≥ 10 using 55 in-house BCs with BRCA mutation to achieve a 95% BRCA-positive agreement rate. Furthermore, the HRD status agreement rate of AcornHRD is 100%, while the ShallowHRD is 60% in standard cells. BRCA mutation was significantly associated with a high HRD score evaluated by AcornHRD and ShallowHRD (p = 0.008 and p = 0.003, respectively) in the TCGA dataset. However, AcornHRD showed a higher positive agreement rate than did the ShallowHRD algorithm (70% vs 60%). In addition, the BRCA-positive agreement rate of AcornHRD was superior to that of ShallowHRD (87% vs 13%) in the clinical cohort. Importantly, the high HRD score assessed by AcornHRD was significantly correlated with a residual cancer burden score of 0 or 1 (RCB0/1). Besides, the HRD-positive group was more likely to respond to anthracycline-based chemotherapy than the HRD-negative group (pCR [OR = 9.5, 95% CI 1.11–81.5, p = 0.040] and RCB0/1 [OR = 10.29, 95% CI 2.02–52.36, p = 0.005]).ConclusionUsing the AcornHRD algorithm evaluation, our analysis demonstrated the high performance of the LCNA genomic signature for HRD detection in breast cancers.

Comprehensive landscape of m6A regulator-related gene patterns and tumor microenvironment infiltration characterization in gastric cancer

The epigenetic regulation of N6-methyladenosine (m6A) has attracted considerable interest in tumor research, but the potential roles of m6A regulator-related genes, remain largely unknown within the context of gastric cancer (GC) and tumor microenvironment (TME). Here, a comprehensive strategy of data mining and computational biology utilizing multiple datasets based on 28 m6A regulators (including novel anti-readers) was employed to identify m6A regulator-related genes and patterns and elucidate their underlying mechanisms in GC. Subsequently, a scoring system was constructed to evaluate individual prognosis and immunotherapy response. Three distinct m6A regulator-related patterns were identified through the unsupervised clustering of 56 m6A regulator-related genes (all significantly associated with GC prognosis). TME characterization revealed that these patterns highly corresponded to immune-inflamed, immune-excluded, and immune-desert phenotypes, and their TME characteristics were highly consistent with different clinical outcomes and biological processes. Additionally, an m6A-related scoring system was developed to quantify the m6A modification pattern of individual samples. Low scores indicated high survival rates and high levels of immune activation, whereas high scores indicated stromal activation and tumor malignancy. Furthermore, the m6A-related scores were correlated with tumor mutation loads and various clinical traits, including molecular or histological subtypes and clinical stage or grade, and the score had predictive values across all digestive system tumors and even in all tumor types. Notably, a low score was linked to improved responses to anti-PD-1/L1 and anti-CTLA4 immunotherapy in three independent cohorts. This study has expanded the important role of m6A regulator-related genes in shaping TME diversity and clinical/biological traits of GC. The developed scoring system could help develop more effective immunotherapy strategies and personalized treatment guidance.

Differential Impacts of Maternal and Paternal Attachments on Adolescent Delinquency: Implications for Counselling

Delinquency among adolescents is a growing concern in Iranian society. Research on the role of maternal and paternal attachments, particularly in the Iranian context, has received limited attention. This correlational study aims to concurrently investigate the predictive capacity of both maternal and paternal attachment on delinquent behaviours among Iranian adolescents. The sample included 528 students aged 15 and 17 from 10 government high schools in Tehran who were selected using multi-stage cluster sampling. Participants completed self-administered questionnaires using two established instruments. The findings highlighted a significant association between high parental attachment scores and low adolescent delinquent activity. Secure attachments to mothers and fathers were found to reduce engagement in delinquency. Adolescent age, fathers’ educational level, and maternal attachment emerged as significant predictors of delinquency. Adolescents with insecure maternal attachments and older adolescents with educated fathers showed greater susceptibility to delinquent behaviour. The study also emphasises the vast contribution of mothers to adolescent development, suggesting the need for further exploration of paternal influence on internal dynamics and delinquency in future research. In a broader sense, understanding the differential impacts of these attachments on adolescent delinquency may help counsellors to effectively address these issues and provide appropriate interventions.

Prevalence of alcohol use by gender and HIV status in rural Uganda.

Alcohol use is a major contributor to mortality and morbidity worldwide. Uganda has a high level of alcohol use per capita. Compared to men, women are less likely to consume alcohol globally; however, women who drink have increased risks for co-occurring conditions, including depression, intimate partner violence, and HIV. This study assessed the prevalence of alcohol use and correlates of harmful alcohol use by gender and HIV status in rural Uganda. We used cross-sectional data from a study among women and men aged 15-59 residing in rural, central Uganda and accepting home-based HIV testing (Nov 2017 to Dec 2020). We estimated the prevalence of levels of alcohol use (categorized as no alcohol use (score 0), low (score 1-3 for men; 1-2 for women), medium (score 4-5 for men; 3-5 for women), high (score 6-7), and very-high (score 8-12) use with the AUDIT-C), stratified by gender and HIV status. We assessed correlates of harmful alcohol use using multivariable logistic regression models for women and men. Among 18,460 participants, 67% (95% CI: 66-67%) reported no alcohol use, 16% (95% CI: 16-17%) reported low, 5% (95% CI: 4.8-5%) reported medium, 5% (95% CI: 4-5%) reported high, and 3% (95% CI: 2.8-3) reported very high alcohol use. Compared to women, men were more likely to report alcohol use (Chi-squared p-value<0.0001). People diagnosed with HIV (both newly diagnosed and previously aware of their status prior to home-based HIV testing) were more likely to report low, medium, high, and very high alcohol use compared to those who were HIV negative (Chi-squared p-value<0.0001). Among women, those who were newly diagnosed were more likely report alcohol use, compared to those who were HIV negative. In multivariable models, being newly diagnosed with HIV (compared to HIV negative) increased the odds of harmful alcohol use among women, but not men. While alcohol use was higher among men and people living with HIV, being newly diagnosed with HIV had a stronger relationship with harmful alcohol use among women than men. More research is needed to understand how alcohol use may increase the risks of HIV acquisition among women and to identify gender-responsive services to address harmful alcohol use and increase access to HIV testing and linkage to care for women who use harmful levels of alcohol.

Early warning signals for predicting cryptomarket vendor success using dark net forum networks

In this work we focus on identifying key players in dark net cryptomarkets that facilitate online trade of illegal goods. Law enforcement aims to disrupt criminal activity conducted through these markets by targeting key players vital to the market’s existence and success. We particularly focus on detecting successful vendors responsible for the majority of illegal trade. Our methodology aims to uncover whether the task of key player identification should center around plainly measuring user and forum activity, or that it requires leveraging specific patterns of user communication. We focus on a large-scale dataset from the Evolution cryptomarket, which we model as an evolving communication network. Results indicate that user and forum activity, measured through topic engagement, is best able to identify successful vendors. Interestingly, considering users with higher betweenness centrality in the communication network further improves performance, also identifying successful vendors with moderate activity on the forum. But more importantly, analyzing the forum data over time, we find evidence that attaining a high betweenness score comes before vendor success. This suggests that the proposed network-driven approach of modelling user communication might prove useful as an early warning signal for key player identification.

Assessing anorectal function in patients with recurrent ulcerative colitis

PurposeUlcerative colitis (UC) is an inflammatory bowel disease with an unclear etiology that can lead to irreversible changes in distal colonic function in chronic patients. This study investigated anorectal function in recurrent UC patients and identified influencing factors.MethodsThis prospective study enrolled 33 recurrent UC patients and 40 newly diagnosed patients from January 2019 to December 2022. Data collection included clinical records, scores, and anorectal function assessments. Regression analyses were used to identify factors impacting anorectal function.ResultsRecurrent UC patients had higher baseline CRP and fecal calprotectin levels, increased anxiety and depression, and more severe fecal incontinence. They also had lower BMIs, serum Hb and albumin (ALB) levels, and Inflammatory Bowel Disease Questionnaire scores than did initial-onset UC patients. Multivariate linear regression analysis revealed that long disease duration (coef. − 0.376, P < 0.001) and high fecal calprotectin level (coef. − 0.656, P < 0.001) independently influenced the initial sensation threshold in recurrent UC patients. Additionally, high fecal calprotectin (coef. − 0.073, P = 0.013) and high Zung Self-Rating Anxiety Scale score (coef. − 0.489, P = 0.001) were identified as two independent determinants of the defecation volume threshold. For the defecation urgency threshold, the independent factors included high disease duration (coef. − 0.358, P = 0.017) and high fecal calprotectin level (coef. − 0.499, P = 0.001). Similarly, the sole independent factor identified for the maximum capacity threshold was high fecal calprotectin (coef. − 0.691, P = 0.001).ConclusionRecurrent UC patients had increased rectal sensitivity and compromised anorectal function, which significantly impacted quality of life. Proactively managing the disease, reducing UC relapses, and addressing anxiety are effective measures for improving anorectal function in these patients.

TrachGPT: Appraisal of tracheostomy care recommendations from an artificial intelligent Chatbot.

Safe home tracheostomy care requires engagement and troubleshooting by patients, who may turn to online, AI-generated information sources. This study assessed the quality of ChatGPT responses to such queries. In this cross-sectional study, ChatGPT was prompted with 10 hypothetical tracheostomy care questions in three domains (complication management, self-care advice, and lifestyle adjustment). Responses were graded by four otolaryngologists for appropriateness, accuracy, and overall score. The readability of responses was evaluated using the Flesch Reading Ease (FRE) and Flesch-Kincaid Reading Grade Level (FKRGL). Descriptive statistics and ANOVA testing were performed with statistical significance set to p < .05. On a scale of 1-5, with 5 representing the greatest appropriateness or overall score and a 4-point scale with 4 representing the highest accuracy, the responses exhibited moderately high appropriateness (mean = 4.10, SD = 0.90), high accuracy (mean = 3.55, SD = 0.50), and moderately high overall scores (mean = 4.02, SD = 0.86). Scoring between response categories (self-care recommendations, complication recommendations, lifestyle adjustments, and special device considerations) revealed no significant scoring differences. Suboptimal responses lacked nuance and contained incorrect information and recommendations. Readability indicated college and advanced levels for FRE (Mean = 39.5, SD = 7.17) and FKRGL (Mean = 13.1, SD = 1.47), higher than the sixth-grade level recommended for patient-targeted resources by the NIH. While ChatGPT-generated tracheostomy care responses may exhibit acceptable appropriateness, incomplete or misleading information may have dire clinical consequences. Further, inappropriately high reading levels may limit patient comprehension and accessibility. At this point in its technological infancy, AI-generated information should not be solely relied upon as a direct patient care resource.

Personal and Academic Multicultural Experiences, Perceived Multicultural Counselling Competence and Multicultural Counselling Self-efficacy Among Malaysian Counsellor Trainees

The counsellor trainees’ self-efficacy is indirectly influenced by what they have experienced in their personal or academic lives, and the experience does contribute to their knowledge, beliefs, and attitudes. Nevertheless, sufficient evidence to elaborate on the reciprocal interactions in the context of counselling is still limited. Therefore, this descriptive-correlational study intends to investigate the connection between Malaysian counsellor trainees’ perceived multicultural counselling competence and self-efficacy and their personal and academic multicultural experiences. All four instruments had been adapted and translated into Malay before being completed by 208 randomly selected counsellor trainees. According to the study’s findings, counsellor trainees scored high on academic multicultural experience but low on personal multicultural experience. They also gained high scores for multicultural counselling self-efficacy and moderate perceived multicultural counselling competence. Importantly, findings revealed substantial correlations between perceived multicultural counselling competence and self-efficacy with academic multicultural experience. Overall, the finding highlights the practice of experiential pedagogy in the multicultural counselling course and encourages collaborative efforts involving faculty members and programme providers in developing and sustaining students’ or counsellor trainees’ multicultural counselling competency and self-efficacy growth.

Towards Health Promoting Schools: Pilot Training and Evaluation of the Updated Urbani School Health Kit (USHK) among School Teachers in Manila

Background and Objective. Committed to enhancing healthy living, learning, and working conditions, a health-promoting school is a potent influencer of behaviors and habits, reaching families and communities effectively. In the Western Pacific region, the Urbani School Health Kit (USHK) is one of the tools developed to integrate health promotion in schools; however, it needs to be updated to adapt to the evolving health challenges of lifestyle-related diseases. Hence, this study aimed to conduct a pilot training and evaluation of the updated USHK among school teachers in Manila. Methods. The USHK was updated with new materials on (1) health-enhancing physical activity; (2) healthynutrition; and (3) family and community engagement. A two-day training-workshop with 30 school teachers wasthen conducted to facilitate the integration of the updated USHK in their class activities. We used a multi method evaluation design to assess the implementation of the USHK. Particularly, quantitative data were obtained from the participants’ feedback on the toolkit and their knowledge of health-related practices. One month later, field visits were conducted to assess the participants’ abilities in utilizing the toolkit into their classes or school activities. Qualitative interviews and classroom observations were also collected post-implementation to determine potential facilitators and barriers to program delivery,and suggestions for improvement. Descriptive statistics were used to summarize participant feedback, whileWilcoxon signed rank test was utilized to determine changes in participant knowledge pre- and post-training.Qualitative data were synthesized through content analysis. Results. Participants provided high satisfaction ratings for the training they received, as well as high scores forthe updated USHK, in terms of its appropriateness and acceptability. Significant improvements in participants’overall health promotion knowledge were also noted (Z = -4.456, p &lt;0.001), particularly involving the domainsof nutrition (Z = -2.972, p = 0.003), physical activity (Z = -3.564, p &lt;0.001), and family/community engagement(Z = -2.531, p = 0.011). Meanwhile, participants also suggested further improvements in the toolkit to enhance its utilization in the local context. Administrative support was a crucial facilitator for implementing the USHK, while resource limitations were identified as significant barriers. Conclusion. The updated USHK, which provides a more comprehensive health promotion approach for schools,is potentially feasible for implementation in educational institutions in Manila. The toolkit can be utilized by teachers and school nurses to integrate health promotion activities into the school environment and classroom activities. To facilitate its wider uptake and implementation in other schools, government support and resource availability are crucial.

APPLYING CLUSTERING AND RECOMMENDATION SYSTEM FOR EFFECTIVE SUPERVISION IN CENTRAL KALIMANTAN INSPECTORATE

This study aims to enhance the effectiveness of supervision at the Central Kalimantan Inspectorate through the application of clustering methods and recommendation systems. Clustering methods, specifically K-Means, are used to group supervision areas based on scores from various indicators, while the recommendation system provides specific improvement suggestions for each group. The results show that financial and performance supervision have high scores, with recommendations to maintain and improve existing standards, focusing on efficiency, transparency, and achieving performance targets. Compliance supervision shows variation in clustering, with recommendations for better enforcement of rules and regulations. Management supervision requires improving management and leadership effectiveness to enhance operational efficiency. Human resources supervision shows the best results, with a focus on improving employee competencies through training and development. The implementation of this technology is expected to optimize resource usage, enhance supervision effectiveness, and reduce operational costs. Clustering methods and recommendation systems provide deep insights into the condition of supervision and help the Inspectorate make more informed and strategic decisions. This study contributes to strengthening the supervision system and improving the overall performance of the Central Kalimantan Inspectorate, creating a more responsive, transparent, and accountable supervision system.

Peningkatan Ketaggapan Warga Pesisir Terhadap Bencana Banjir Rob : Warga Tangguh Bencana

Introduction: Unexpectedly high sea water can cause flooding which can damage, threaten lives and endanger the community, especially residents who live close to the shoreline or coastline. Objective: increase the response capacity of coastal residents to tidal flood disasters. Method: conducting outreach and simulating tidal flood disasters. Results: The average posttest score reached 17.5 out of a maximum score of 20, indicating the success of counseling in increasing respondents' knowledge and preparedness. Conclusion: Increasing community understanding, as reflected in a high average posttest score, can make a significant contribution to increasing community preparedness and adaptation to the risk of tidal floods. Furthermore, efforts are needed to maintain this positive momentum through sustainable programs, collaboration with related parties, and strengthening community participation in mitigation efforts.

Alcohol control policy and alcohol-attributable disease burden in Finland and the Baltic countries: A longitudinal study 1995-2019.

Alcohol remains a significant contributor to mortality and morbidity in Finland and the Baltic countries, particularly among men. This study aimed to assess alcohol policy restrictiveness in this region from 1995 to 2019 using a modified version of the Bridging the Gap (BtG-M) policy scale and examine its association with alcohol-related disease burden. The study utilised national laws to score policy restrictiveness (higher BtG-M scores mean stricter policies) and age-standardised rates of disability-adjusted life years (DALY), years of life lost, years lived with disability and deaths per 100,000 from the 2019 Global Burden of Disease Study (GBD). Spearman correlation tests and panel data regression models were applied to assess the association between policy score and burden of disease. Finland maintained a high BtG-M score, while the Baltic countries experienced recent increases from initially lower scores. Alcohol-related disease burden showed an inverse association with policy changes in these countries. Strongest association was seen between the BtG-M score and DALY rates attributed to injuries. Premature mortality among men constituted the largest proportion of disease burden. Despite challenges in accessing and comparing policy data over time, we showed a strong association between alcohol policy and alcohol-related harm in Finland and the Baltic countries. This study is one of the first to use the BtG-M scale to monitor changes in alcohol policies over time and their relationship to alcohol-related harm using GBD methodology. The study highlights the effects of national alcohol policies on levels of alcohol-related harm.