Penggunaan Salam Smart dalam Meningkatkan Kesehatan Mental dan Penerapan Protokol Kesehatan pada Kelompok Pengajian

ENGLISHThe covid-19 pandemic that has occurred for a long time brings changes in the entire order of human life, including religion. Religious and social activities, like "pengajian" must immediately adapt to the new norms. An educational program is needed to ensure that every activity in "pengajian" group complies with the health protocols and reduces the potential for the emergence of new Covid-19 clusters. "Salam Smart" Program is a Healthy and Happy Life Strategy in the pandemic period. It is hoped to increase the implementation of health protocols and mental health of the members of this community. This study aimed to describe the contribution of “Salam Smart” Program on mental health improvement and the implementation of health protocols in the "pengajian" group. There were 29 participants to determine the effectiveness of the program. Data were collected using the Prokesmen Scale consisting of subscales i.e. the Health Protocol Scale (Reliability 0.875), and the Mental Health Scale (Rel = 0.796). The descriptive quantitative data analysis was applied and resulted that there was an increase of 2.62 in the application of health care and 3.92 in mental health. It can be concluded that the “Salam Smart” Education Program can be carried on as a strategy to live a healthy and happy life during the pandemic. INDONESIAPandemi Covid-19 yang cukup panjang tentunya membawa perubahan pada seluruh tatanan kehidupan manusia, termasuk agama. Kegiatan keagamaan dan sosial harus segera beradaptasi dengan norma-norma baru. Untuk memastikan setiap kegiatan sesuai dengan protokol kesehatan dan mengurangi potensi munculnya klaster Covid-19 baru dari kelompok pengajian, perlu diadakan program edukasi. Melalui Program “Salam Cerdas” sebagai Strategi Hidup Sehat dan Bahagia di Masa Pandemi. Program ini diharapkan dapat meningkatkan penerapan protokol kesehatan dan kesehatan jiwa para anggota komunitas pengajian. Ada 29 peserta untuk menentukan efektivitas program. Pengumpulan data menggunakan Skala Prokesmen yang terdiri dari subskala yaitu Skala Protokol Kesehatan (Reliabilitas 0,875), dan Skala Kesehatan Jiwa (Rel = 0,796). Analisis data deskriptif kuantitatif digunakan dan hasilnya menunjukkan bahwa ada peningkatan 2,62 dalam penerapan perawatan kesehatan dan 3,92 dalam kesehatan mental. Dapat disimpulkan bahwa Program Pendidikan “Salam Cerdas” dapat dijadikan sebagai strategi untuk hidup sehat dan bahagia di masa pandemi.

The Development of the Democratic Behavior Scale: A Validity and Reliability Study

This study aimed to develop a scale to determine the democratic behavior levels of children in early childhood. The study group included a total of 486 children attending kindergartens and primary school nursery classes in Melikgazi, Kayseri. Scale reliability was tested by using intra-group correlation values, item analysis coefficients, Cronbach’s Alpha reliability coefficient (0,98), and the Hotelling T2 test result [ 830,12 and (p<0.001)]. For validity testing purposes, the Cronbach Alpha coefficient, KMO test result (0,97), the Bartlett test and item analysis (p<0.001) were calculated. It was consequently decided that the scale was suitable for factoring, and AFA was used in principal component analyses. Following this, the structural equation model of DFA was performed, which confirmed that the model suited the data and that the 3-factor structure of the scale was valid. Confirmed as valid and reliable, the scale consisted of a total of 38 items in the sub-dimensions of "Knowing Your Rights", "Autonomous Behaviors" and "Democratic Behaviors". The highest score possible from the scale is 190, while the lowest possible score is 38.

Investigating the dimensions of Incivility Scale in Learner-Trainer Interactions at Zanjan University of Medical Sciences

Introduction: This study aims to identify the psychometric properties of developmental tools observed by the learner and the trainer in the process of nursing training. Methods: In this study, 200 nursing students of Abhar University of Medical Sciences (110 males and 90 females), completed the perceived incivility tools in learner -trainer interactions. To evaluate the reliability, Cronbach alpha retest and calculation methods were used. To determine the structural validity of the tools, exploratory factor analysis was used. Result: After modification of the questions of scale, reliability was found to be acceptable. Exploration factor analysis revealed the first part of the scale containing four components thus determining 60.72% of the total variance. These components are referred to as: students' incivility in the classroom, lack of motivation, lack of planning and preparation of the learners, and the indifference of the learners to the opinions of others. The second part of the scale contains three components determining 64.69% of the total variance. These components are also referred to as incivility of professors in the classroom, ineffective teaching and lack of effective interpersonal communication skills. Conclusion: The above tool bears an acceptable validity for examining the perceived incivility between learner and trainer in the nursing training process and is suitable for Iranian students so that it can be deployed for other universities of medical sciences across the country.

More Than Morningness: The Effect of Circadian Rhythm Amplitude and Stability on Resilience, Coping, and Sleep Duration

Self-report tools that measure circadian rhythms have focused primarily on phase. We add to the sparse literature on assessing amplitude and stability. We randomly recruited 1,163 participants who completed several measures. The correlation between the LV scale (amplitude) and FR scale (stability) was −0.12 (p &lt; 0.01). As expected, amplitude was negatively associated with phase (r = −0.64, p &lt; 0.01) while stability showed a weak link with phase (r = 0.07, p &lt; 0.05). Structural equation modeling suggested a close model-fit of the factor structure in the sample (RMSEA = 0.033). The LV scale explained 22% of the variance, while the FR scale explained 23%. Scale reliability was satisfactory for the LV scale (0.68) and good for the FR scale (0.73). Participants with low amplitude or flexible rhythms reported significantly better resilience, coping, and required less daily sleep. We constructed a composite circadian categorical variable to combine the best attributes from the LV and FR scales; participants with both low amplitude and flexible rhythms, reported significantly better resilience, coping, and less sleep need. We found rhythm amplitude decreased with age, while stability remained constant.

Biomarkers of Technical Success After Embolectomy for Acute Stroke

Purpose of the ReviewStent retrievers and large-bore aspiration catheters have doubled substantial reperfusion rates compared to first-generation devices. This has been accompanied by a 3-fold reduction in procedural time to revascularization. To measure future thrombectomy improvements, new benchmarks for technical efficacy are needed. This review summarizes the recent literature concerning biomarkers of procedural success and harm and highlights future directions.Recent FindingsExpanded Treatment in Cerebral Ischemia (eTICI), which incorporates scores for greater levels of reperfusion, improves outcome prediction. Core laboratory–adjudicated studies show that outcomes following eTICI 2c (90%–99% reperfusion) are superior to eTICI 2b50 and nearly equivalent to eTICI 3. Moreover, eTICI 2c improves scale reliability. Studies also confirm the importance of rapid revascularization, whether measured as first pass effect or procedural duration under 30 minutes. Distal embolization is a complication that impedes the extent and speed of revascularization, but few studies have reported its per-pass occurrence. Distal embolization and emboli to new territory should be measured after each thrombectomy maneuver. Collaterals have been shown to be an important modifier of thrombectomy benefit. A drawback of the currently accepted collateral grading scale is that it does not discriminate among the broad spectrum of partial collateralization. Important questions that require investigation include reasons for failed revascularization, the utility of a global Treatment in Cerebral Ischemia scale, and the optimal grading system for vertebrobasilar occlusions.SummaryEmerging data support a lead technical efficacy endpoint that combines the extent and speed of reperfusion. Efforts are needed to better characterize angiographic measures of treatment harm and of collateralization.

Exploring post-Covid-19 Lockdown Students’ Satisfaction in Ethiopian Higher Education Context in case of some Selected Universities

This study aimed to explore post Covid-19 lockdown students’ satisfaction from some higher education institutions in Ethiopia. The study used descriptive and explanatory research designs. A total of 480 students were taken from twelve public Universities as a sample and 366 valid questionnaires were collected. Convenience and snowball sampling were used to select the employees from each University. Also, cross- sectional survey method was applied to collect data via a Likert scale questionnaire. Correlation and multiple regression modeling were used to predict the relationships. Initially, a pilot test was a sample of 35 students to check data scale reliability. The study found that all the independent variables (crush time, leadership, and students’ initiation, instructors’ commitment) variables had a statistically significant correlation with Students’ satisfaction. Moreover, the study founded that all the studied variables were predictors of students’ satisfaction (R2= 0.672); however, the predictors that had highest influence were instructors’ commitment and crushes time. Significant emphasis and devotion is required particularly on variables such as instructors’ commitment and crush time as they are identified as a significant influencer of students’ satisfaction. Universities shall focus on enhancing instructors’ commitment and they have to allocate adequate time as before COVID -19.

Estimating measurement equivalence of the 12-item General Health Questionnaire across ethnic groups in the UK

Background This study investigates the extent to which the GHQ-12 exhibits configural, metric and scalar invariance across six ethnic groups in Britain and Northern Ireland, using the UK Household Longitudinal Study (N = 35 410). Methods A confirmatory factor analysis was carried out on a white British group in order to establish an adequate measurement model. Secondly, a multi-group confirmatory factor analysis was conducted in order to assess measurement invariance. A sensitivity analysis comparing summated and latent means across groups was carried out. Finally, revised estimates of scale reliability were derived using two different methods. Results A one-factor model including correlated error terms on the negatively phrased items showed superior fit in all ethnic groups. Tests for equal factor loadings and intercepts also showed adequate fit demonstrating metric and scalar invariance. Latent and summated scale estimates of mean group differences were similar for all groups. Scale reliability using McDonald's ω is lower than when using the more conventional Cronbach's α. Reliability across groups is reasonably consistent. Conclusions We find that the GHQ-12 does not display obvious bias in regard to ethnic groups in the UK and that valid comparisons across these groups can be made for the purposes of population research. Caution is needed when using as a screening tool for individuals.

Natural Language Analyzed with AI-based Transformers Predict Traditional Well-Being Measures Approaching the Theoretical Upper Limits in Accuracy

We show that using a recent break-through in artificial intelligence –transformers–, psychological assessments from text-responses can approach theoretical upper limits in accuracy, converging with standard psychological rating scales. Text-responses use people's primary form of communication –natural language– and have been suggested as a more ecologically-valid response format than closed-ended rating scales that dominate social science. However, previous language analysis techniques left a gap between how accurately they converged with standard rating scales and how well ratings scales converge with themselves – a theoretical upper-limit in accuracy. Most recently, AI-based language analysis has gone through a transformation as nearly all of its applications, from Web search to personalized assistants (e.g., Alexa and Siri), have shown unprecedented improvement by using transformers. We evaluate transformers for estimating psychological well-being from questionnaire text- and descriptive word-responses, and find accuracies converging with rating scales that approach the theoretical upper limits (Pearson r = .85, p &lt; .001, N = 608; in line with most metrics of rating scale reliability). These findings suggest an avenue for modernising the ubiquitous questionnaire and ultimately opening doors to a greater understanding of the human condition.