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Percentage of body fat, age, weight, height, and 14 circumference measurements (e.g., waist) are given for 184 women aged 18–25. Body fat, one measure of health, was accurately determined by an underwater weighing technique which requires special equipment and training of the individuals conducting the process. Modeling body fat percentage using multiple regression provides a convenient method of estimating body fat percentage using measures collected using only a measuring tape and a scale. This dataset can be used to show students the utility of multiple regression and to provide practice in model building.
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Objetivo: Este estudo examinou a capacidade de desempenho financeiro e nao financeiro na previsäo do tempo de publicaçao de relatórios financeiros, moderada pela pandemia da COVID-19. Referenciái teórico: A teoria dos sinais postula que a administraçâo desempenha um papel crucial no fornecimento de informaçöes as partes interessadas sobre as condiçöes da empresa (Brigham & Houston, 2001). De acordo com Spence (1973), as empresas estao motivadas a fornecer informaçöes relevantes as partes interessadas. Se as condiçöes de desempenho sao boas, a empresa tende a acelerar o processo de apresentaçao de demonstraçöes financeiras. Por outro lado, se o desempenho for ruim, há uma tendencia a atrasar a publicaçao dos relatórios financeiros. O longo período de tempo para a publicaçao de relatórios financeiros pode indicar más noticias que a empresa tem, de modo que ela ainda tem que publicar as noticias para o público. Scott (2015) sugere que quando os gerentes souberem que há noticias desfavoráveis sobre a condiçao da empresa no futuro, evitarao publicar estas informaçöes ou pelo menos atrasaräo a apresentaçao das demonstraçöes financeiras. Método: O desempenho financeiro foi medido por quatro indicadores: lucratividade, liquidez e solvencia. Enquanto isso, o desempenho nao financeiro variável foi medido pelo indice de boa governança corporativa (GCG) e pela reputaçao dos auditores. O modelo proposto foi testado com base nos dados quantitativos coletados de 156 empresas de manufatura listadas na Bolsa de Valores da Indonesia (IDX) a partir de 2018 e 2020. A análise de regressao múltipla foi realizada para analisar e interpretar os dados. Resultados e conclusao: O resultado indica que a solvencia, a boa governança corporativa e a reputaçao do auditor foram preditores significativos do período de publicaçao do relatório financeiro. Entretanto, a capacidade preditiva de rentabilidade e liquidez no prazo de publicaçao nao foi considerada significativa. Além disso, os resultados mostram que a pandemia da COVID-19 modera a capacidade de rentabilidade e boa governança corporativa na previsao do prazo de publicaçao. Implicates da pesquisa: O indicador de desempenho financeiro e nao financeiro dá resultados diferentes na previsäo do RWPLK das empresas de manufatura na Indonesia. ROA e CR nao sao capazes de prever o RWPLK, mas DER, GCG, KAP sao capazes de prever o RWPLK. O papel da pandemia COVID-19 foi capaz de moderar a capacidade de ROA e GCG em prever o prazo para publicaçao de relatórios financeiros, mas foi incapaz de moderar a capacidade de CR, DER e KAP em prever o RWPLK. Originalidade/valor: O presente estudo fornece a primeira evidencia empírica sobre o papel moderador da pandemia COVID-19 na capacidade preditiva do desempenho financeiro e nao financeiro para o prazo de publicaçao das demonstraçöes financeiras.Alternate :Purpose: This study examined the ability of financial and non-financial performance in predicting financial reports publication time frame as moderated by the COVID-19 pandemic. Theoretical framework: Signal theory postulates that management serves a crucial role in providing information to stakeholders regarding the condition of the company (Brigham & Houston, 2001). According to Spence (1973), companies are motivated to provide relevant information to stakeholders. If the performance conditions are good, the company tend to speed up the process of presenting financial statements. Conversely, if performance is poor, there is a tendency to delay the financial reports publication. The long span of time for the publication of financial reports can indicate bad news that the company has so that it has yet to publish the news to the public. Scott (2015) suggests that when managers know there is unfavorable news about the condition of the company in the future, they will avoid publishing this information or at least delay the presentation of financial statements. Method/design/approach: Financial performance was measured by four indicators: profita il ty, liquidity and solvency. Meanwhile, variable non-financial performance was measured by the index of good corporate governance (GCG) and auditor reputation. The proposed model was tested based on the quantitative data collected from 156 manufacturing companies listed on the Indonesia Stock Exchange (IDX) from 2018 and 2020. The multiple regression analysis was performed to analyze and interpret the data. Results and conclusion: Result indicates that solvency, good corporate governance, and auditor reputation were significant predictors of the time span of financial report publication. However, the predictive ability of profitability and liquidity on the publication timeframe was found to be not significant. Furthermore, the results show that the COVID-19 pandemic moderates the ability of profitability and good corporate governance in predicting the publication timeframe. Research implications: Financial and non-financial performance indicator gives different results in predicting the RWPLK of manufacturing companies in Indonesia. ROA and CR are not able to predict RWPLK, but DER, GCG, KAP are able to predict RWPLK. The role of the COVID-19 pandemic was able to moderate the ability of ROA and GCG in predicting the timeframe for publication of financial reports, but was unable to moderate the ability of CR, DER and KAP in predicting RWPLK. Originality/value: The present study provides the first empirical evidence on the moderating role of the COVID19 pandemic on the predictive ability of financial and non-financial performance for financial statement publication time frame.
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BACKGROUND: According to the results of the ESSE-RF study, the frequency of obesity in the population reached 29.7%. Obesity is one of the main risk factors for the development of cardiovascular diseases. Features of the course of COVID-19 in patients with obesity is a very urgent problem. AIM: The aim of the study was a comparative investigation of clinical and laboratory-instrumental parameters in AH patients with or without obesity who had COVID-19 associated pneumonia, to identify the role of obesity as a potential predictor of post-COVID cardiovascular complications 3 months after discharge from the hospital. MATERIALS AND METHODS: Materials and methods. The study included 174 patients with COVID-19-associated pneumonia. Group 1 included 78 patients with AH without obesity, group 2 - 96 patients with AH and obesity. All patients were tested with a blood sample at the time of admission and 3 months after discharge from the hospital. We assessed parameters of general blood test, biochemistry, hemostasis, inflammation biomarkers - concentration of C-reactive protein (CRP), highly sensitive CRP (hs-CRP), homocysteine, IL-6, etc. All patients initially underwent computed tomography of the chest. In both groups, 24-hour blood pressure monitoring was performed using BPLaB device, according to the standard protocol;echocardiography using an expert class ultrasound diagnostic system Vivid S70. The study is registered with the Clinical Trials.gov database Identifier: NCT04501822. RESULT(S): Results. The biomarker that significantly distinguished the both groups of patients, as well as subgroups according to the degree of obesity was the concentration of maxCRP and hs-CRP, which was significantly higher in group 2. In addition, the registered maximum values of MPO, NT-proBNP, IL-1,6, TNA-alpha and NRL parameters in group 2 of patients with 2-3 degrees of obesity, may indicate the highest probability of developing delayed adverse cardiovascular complications in this group of patients. Mean systolic blood pressure, variability of systolic and diastolic blood pressure, and heart rate at night were significantly higher in AH patients with obesity. Numerous correlations of obesity with laboratory and instrumental parameters have been registered, which may indicate an increased likelihood of delayed unwanted cardiovascular complications in this particular group of patients. Multiple regression showed that obesity is an independent predictor of an increase in LDH, hs-CRP and right atrium. CONCLUSION(S): Dynamic control of the studied parameters in patients with AH and OB registered an increased concentration of CRP at the initial stage and 3 months after treatment, with a general trend towards a decrease in the increased initial structural parameters of ECHO CG. The logistic regression method showed that the presence of OB in patients with AH is an independent factor causing increased levels of immune inflammation (CRP), a marker of tissue destruction (LDH), and load on the right atrium.Copyright © Endocrinology Research Centre, 2022.
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Objective: The coronavirus disease (COVID-19) is a problem for the health care systems of many countries around the world. Seasonal nature of influenza and other the respiratory viral diseases is commonly known. The nature of the relationship between the frequency of registration of cases of COVID-19 and natural factors is still being studied by researchers. The purpose is to determine the influence of air temperature, relative humidity, wind speed, and atmospheric pressure on the incidence of the coronavirus disease COVID-19 in the conditions of Ukraine. Materials and methods. Official reports of the Ministry of Health of Ukraine and data from daily monitoring of meteorological indicators conducted by the Sumy Regional Hydrometeorology Center were used in the paper. Descriptive and analytical ways of epidemiological method of investigation were applied. The search for parameters of interrelation between the frequency of registration of COVID-19 cases and meteorological cases took place using of program "Statistica", namely the relevant tools of this program: "Analysis"/ "Multiple regression". Results and Discussion: In the period under study from March 25, 2020 to December 31, 2021 in Sumy Oblast of Ukraine, three waves of rise in the incidence were registered. In the third wave of rise in the incidence, in autumn 2021 the frequency of registration of COVID-19 cases reached 1684.9 per 100 thousand of people, despite the fact that almost 70 % of the population had already recovered or were vaccinated. Meteorological factors in the conditions of Ukraine have little influence on the rate of spread of COVID-19. The value of multiple correlation coefficients was within those limits, which are considered moderate in terms of influence. A moderate inverse correlation was established between the frequency of registration of COVID-19 cases and indicators of air temperature, and a direct correlations-with indicators of relative air humidity. Conclusion(s): In the conditions of Ukraine, the studied meteorological factors (air temperature, relative humidity, wind speed, atmospheric pressure) indirectly influenced the intensity of the epidemic process of COVID-19. the strength of this influence was either weak or moderate.Copyright © 2023, Ibn Sina Trust. All rights reserved.
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BACKGROUND: According to the results of the ESSE-RF study, the frequency of obesity in the population reached 29.7%. Obesity is one of the main risk factors for the development of cardiovascular diseases. Features of the course of COVID-19 in patients with obesity is a very urgent problem. AIM: The aim of the study was a comparative investigation of clinical and laboratory-instrumental parameters in AH patients with or without obesity who had COVID-19 associated pneumonia, to identify the role of obesity as a potential predictor of post-COVID cardiovascular complications 3 months after discharge from the hospital. MATERIALS AND METHODS: Materials and methods. The study included 174 patients with COVID-19-associated pneumonia. Group 1 included 78 patients with AH without obesity, group 2 - 96 patients with AH and obesity. All patients were tested with a blood sample at the time of admission and 3 months after discharge from the hospital. We assessed parameters of general blood test, biochemistry, hemostasis, inflammation biomarkers - concentration of C-reactive protein (CRP), highly sensitive CRP (hs-CRP), homocysteine, IL-6, etc. All patients initially underwent computed tomography of the chest. In both groups, 24-hour blood pressure monitoring was performed using BPLaB device, according to the standard protocol;echocardiography using an expert class ultrasound diagnostic system Vivid S70. The study is registered with the Clinical Trials.gov database Identifier: NCT04501822. RESULT(S): Results. The biomarker that significantly distinguished the both groups of patients, as well as subgroups according to the degree of obesity was the concentration of maxCRP and hs-CRP, which was significantly higher in group 2. In addition, the registered maximum values of MPO, NT-proBNP, IL-1,6, TNA-alpha and NRL parameters in group 2 of patients with 2-3 degrees of obesity, may indicate the highest probability of developing delayed adverse cardiovascular complications in this group of patients. Mean systolic blood pressure, variability of systolic and diastolic blood pressure, and heart rate at night were significantly higher in AH patients with obesity. Numerous correlations of obesity with laboratory and instrumental parameters have been registered, which may indicate an increased likelihood of delayed unwanted cardiovascular complications in this particular group of patients. Multiple regression showed that obesity is an independent predictor of an increase in LDH, hs-CRP and right atrium. CONCLUSION(S): Dynamic control of the studied parameters in patients with AH and OB registered an increased concentration of CRP at the initial stage and 3 months after treatment, with a general trend towards a decrease in the increased initial structural parameters of ECHO CG. The logistic regression method showed that the presence of OB in patients with AH is an independent factor causing increased levels of immune inflammation (CRP), a marker of tissue destruction (LDH), and load on the right atrium.Copyright © Endocrinology Research Centre, 2022.
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After the COVID-19 pandemic, the bio-industry is becoming increasingly important. Therefore, it is necessary to respond to the changed environment after COVID-19 by analyzing the bio-industry situation before the COVID-19 pandemic. In addition, Korean bio-industry is a very important industry for Korea's economic growth, so huge investments are being made in the development of bio-companies. Therefore, it is necessary to analyze the effect of innovation capabilities on the performance of the Korean bio-industry. Korea's bio-industry has been developing under the leadership of the government. Thus, Korea's bio-companies need various forms of innovation to achieve sustainability through competitive advantage on their own. The objective of this research is to find the competitive advantage factors that improve the innovation ability of the Korean bio-industry. Therefore, the elements that increase a company's innovation capability were studied in order to uncover competitive advantage factors that improve the Korean bio-industry's innovation capability, and the effect on corporate performance was analyzed. Using samples from the ‘Korean Bio-industry Survey', the current state of the Korean bio-industry was examined through a review of all bio-industry enterprises. In addition, each of the eight bio-industries was examined using Korea's industrial classification system. As an analysis method, multiple regression analysis of SPSS 25 was performed to analyze how the six input factors have a complex effect on the output factor. This study discovered that R&D intensity, machine investment, and human resource characteristics all had an impact on the business performance of Korean biotech enterprises. In eight bio-sectors, elements affecting company success were defined differently. Therefore, through this study, Korean bio-companies must understand their own industrial characteristics, and develop factors that affect business performance through strategic operational management. In addition, based on the results of this study, companies should strengthen the innovation capabilities of the bio-industry to survive post-COVID-19, analyze changes in innovation capabilities, and promote sustainable growth by strengthening key innovation factors.
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In recent years, the rice cake market has grown considerably in terms of research and development of products suitable for consumer needs and beneficial to health at the same time. Since the outbreak of COVID-19, the number of consumers consuming antioxidant-rich foods and immunity-boosting foods to improve health and promote healthy eating habits has increased. Pistachio rice cakes have been tested and found to be high in polyphenols, which have good antioxidant activity and strengthen the immune system. Therefore, research was conducted on pistachio rice cakes to develop safe, health functional, and sustainable food. In order to maximize the sales potential of pistachio rice cakes, a survey was conducted among Korean adults to investigate perception of pistachio, pistachio rice cake purchasing behavior, and popularization plans. Pearson's correlation analysis was performed to examine the correlation between pistachio perception, pistachio rice cake purchasing behavior, and pistachio rice cake popularization measures, and they were found to have a close relationship. In addition, as a result of multiple regression analysis, perception and purchasing behavior of pistachio rice cake products were found to have a significant positive (+) effect on rice cake technology development, development of brand specializing in rice cakes, and cultivation of traditional rice cake experts. This study suggests that continuous research and development of food safety and sustainability of rice cakes are required, and it is expected to be utilized as basic data to form a research basis that can be a strategy for increasing sales in the rice cake industry.
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Hypertension (HTN) is the strongest modifiable risk factor for CVD that is disproportionately higher in racial/ethnic groups, e.g., Native Hawaiians. Native Hawaiians have over a 50% prevalence of HTN (i.e., systolic blood pressure (SBP) of =130mmHg or diastolic blood pressure (DBP) of =80mmHg), placing them at higher risk for CVD. Behavioral/biological risk factors (e.g., BMI, diet, physical activity) are often the focus of epidemiological and intervention research;yet, socioeconomic factors, such as food insecurity, also affect blood pressure.The purpose of this study is to examine the association between food insecurity and SBP and DBP in Native Hawaiians communities, controlling for demographics and behavioral/biological risk factors.Participants in this 2020, cross-sectional study (N = 125) were from six, predominantly Native Hawaiian communities across Hawai'i. Demographic variables included age, sex, education, and race/ethnicity. Potential confounding variables were leisure-time physical activity, daily servings of processed meat, daily servings of red meat, daily servings of fruit and vegetables, resilience, BMI, use of HTN medication, and COVID-19 related mental health. To assess food insecurity participants were asked to indicate how often money for food runs out by the end of the month on a 5-point Likert scale, with higher scores indicating greater frequency. SBP and DBP were measured according to a standardized protocol. All confounding variables with a significant bivariate correlation with SBP or DBP were entered into the respective multiple regression model.Participants were predominantly female (73, 58.4%), had some college or were college graduates (73, 58.4%), a mean age of 39.2yrs (SD=9.9) and mean BMI of 31.6 (SD=8.7). Mean SBP and DBP were in the normotensive range, 122.9+/-17.5 and 79.5+/-11.9, respectively. Female sex (beta=-9.9, SE=2.6, p<0.001), daily servings of fruit and vegetables (beta=-2.35, SE=1.04, p=0.026), BMI (beta=0.76, SE=0.16, p<0.001), use of HTN medication (beta=14.01, SE=4.90, p=0.005), and food insecurity (beta=2.09, SE=0.95, p=0.030) were associated with SBP (R2=0.40, SE=14.05, p<0.001). Male sex, fewer daily servings of fruit and vegetables, greater BMI, use of HTN medication, and more food insecurity were significantly associated with higher DBP. Female sex (beta=-5.03, SE=1.90, p=0.009), BMI (beta=0.51, SE=0.12, p<0.001), and food insecurity (beta=1.36, SE=0.69, p=0.05) were associated with DBP (R2=0.31, SE=10.18, p<0.001). Male sex, greater BMI, and more food insecurity were significantly associated with higher DBP.After controlling for potential confounders, food insecurity retains a significant, independent association with both SBP and DBP such that a greater frequency of food insecurity was related to higher SBP and DBP. This provides additional evidence for the idea that food insecurity may directly impact CVD risk.
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Background: Coronavirus disease 2019 (COVID-19) has spread fast globally comprising a great variety of clinical presentations. It was reported that 15% of patients required admission to intensive care units (ICU). Previous epidemiological studies have reported higher risk of healthcare-associated infections (HCAI) in those patients requiring invasive mechanical ventilation (iMV) due to COVID-19. Aim(s): To analyze the incidence of HCAI in adults under iMV admitted to ICU of Anchorena San Martin Clinic during COVID-19 pandemic. Method(s): Retrospective cohort study, the analysis of normality was carried out using the Shapiro-Wilk test. The multiple regression analysis was performed automatically, based on backward elimination of the variables (backward selection). For the comparison between the COVID-19 and non-COVID-19 groups, the T test or Wilcoxon test was used, as appropriate;and the chi2 or Fisher's exact test. All cumulative incidence function estimates were made with the cmprsk package. Result(s): 252 patients were included, 40 patients developed HCAI (accumulated incidence was 15.9%), counting for 60 total HCAI events. Age (OR 0.96), number of central venous access devices (CVAD) (OR 2.01), COVID-19 (OR 2.96) and prone positioning (OR 2.78) were associated with HCAI. HCAI was associated with more days of iMV and ICU stay. The accumulated incidence of HCAI in non-COVID-19 patients was lower than in COVID-19 patients. iMV days and mortality were higher in COVID-19. 29.6% of COVID-19 patients developed HCAIs vs 7.1% of non-COVID-19 ones. Conclusion(s): We describe the incidence of HCAI. Age, COVID-19, CVAD, prone positioning and ICU stay were associated with higher probability of HCAIs.Copyright © 2022, Sociedad Chilena de Infectologia. All rights reserved.
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PurposeThe objective of this study was to analyse the influencing factors of citizens' dissatisfaction with government services during the COVID-19 pandemic to help government departments identify problems in the service process and possible countermeasures.Design/methodology/approachThe authors first used cosine interesting pattern mining (CIPM) to analyse citizens' complaints in different periods of the pandemic. Second, the potential evaluation indices of customer satisfaction were extracted from the hotline business system through a hypothesis analysis and modelled using multiple regression analysis. During the index transformation and standardization process, a machine-learning algorithm of clustering and emotion analysis was adopted. Finally, the authors used the random forest algorithm to evaluate the importance of the indicators and obtain the indicators more important to citizen satisfaction.FindingsThe authors found that the complaint topic, appeal time, urgency of citizens' complaints, citizens' emotions, level of detail in the case record, and processing timeliness and efficiency significantly influenced citizens' satisfaction. When the government addresses complaints in a more standardized and efficient manner, citizens are more satisfied.Originality/valueDuring the pandemic, government departments should be more patient with citizens, increase the speed of the case circulation and shorten the processing period of appeals. Staff should record appeals in a more standardized manner, highlighting themes and prioritizing urgent cases to appease citizens and relieve their anxiety.
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PurposeThis study investigated the relationship between generalised trust and psychological well-being in college students, considering the social support obtained from their social networks via Twitter and face-to-face (FTF) interactions. Initially, the authors planned to collect data at the beginning of the first semester in 2019 for fine-tuning the model as a pilot study, and in 2020 for the main study. However, due to the coronavirus disease 2019 (COVID-19) pandemic, the data helped authors to analyse changes in young people's psychological situation before and during the pandemic in Japan.Design/methodology/approachThe study conducted a self-report survey targeting college students in the Kanto region in Japan. Data were collected from mid-May to the end of June 2019, as well as in early to mid-June 2020, with 304 and 584 responses, respectively. The collected data were analysed using structural equation modelling and a multiple regression analysis.FindingsThe findings using the 2019 data set indicated that (a) students mostly used Twitter for information gathering and sharing of hobbies, and they received both informatics and emotional support from Twitter, and from FTF interactions;(b) there were direct positive effects of generalised trust and social skills on their psychological well-being;and (c) students with lower levels of generalised trust tended to interact with very intimate individuals using Twitter to obtain social support, which did not have any effects on their improvement of psychological well-being. From the 2020 data set, the authors also found that, like 2019, generalised trust and social skills had direct effects on the improvement of psychological well-being. Additionally, we observed that students spent more time using Twitter and received more emotional support from it, as most people tried not to meet other people in person due to the first State of Emergency in Japan. Similarly, the authors found that in 2019, only social support from very intimate partners via FTF communication had slightly significant effects on improving their psychological well-being, whereas in 2020, their expectation for social networks via FTF had decreased their levels of psychological well-being, but their social support from Twitter had slightly significant effects on their improvement of psychological well-being. One of the main reasons for this might be due to the challenge of meeting with others in person, and therefore, social support from Twitter partially played a role that traditionally was only beneficial through FTF communication.Originality/valueWe understand that this is one of the few social psychological studies on social media that collected data both before and during the COVID-19 pandemic. It provides unique evidence in demonstrating how the COVID-19 pandemic has changed college students communication behaviours.
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Despite years of research, scholars still have a limited understanding of the factors that lead individuals to start their own businesses. Drawing upon the crisis decision theory (CDT), the theory of planned behavior (TPB), the entrepreneurial event model (EEM), and previous research on entrepreneurial intentions (EIs), this study investigates the impact of a set of predictors (i.e., perceived crisis severity, entrepreneurial disposition, support from family/friends, university affiliation, gender, year of study, work experience, presence of a role model, and completion of an entrepreneurship class) on the outcome variable (i.e., EIs) of Generation Z in a highly tourism-dependent transitional economy. Pearson's correlation and multiple regression were employed to analyze the data collected in May/June 2020 via a self-administered questionnaire from 300 tourism and hospitality students enrolled at five public universities in Croatia. The results indicate that entrepreneurial disposition, work experience, and gender are directly related to EI. The perceived crisis severity does not affect EI. These findings contribute to filling gaps in the existing research on entrepreneurship during major crises, on EIs of Gen Z, on the role of perceived crisis severity in EIs, and on the state of EIs in mono-industrial (i.e., dominated by one industry) crony capitalist ex-communist economies. © 2023 by the author.
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Despite extensive efforts to support teachers with the integration of information and communication technologies (ICT) into their classroom practice, current research reports that teachers face immense challenges when integrating ICT into their teaching. This issue has become even more relevant with the rapid spread of the COVID-19 virus, forcing schools around the world to close for an indefinite period of time and thus to offer remote digital learning solutions. Against this background, this study focused on examining the predictors of pre-service teachers' prospective ICT use and investigated the heterogeneous results of previous research related to ICT use and gender. Following the ‘will, skill, tool' framework, the study examined relevant factors of pre-service teachers' (N = 103) prospective ICT use for teaching and learning processes by means of multiple regression analyses. The analyses included pre-service teachers' background characteristics, ICT profiles (attitudes and self-efficacy), digital competencies and use of digital tools in order to explore their role in future in-class use of ICT. They also show that there are no gender differences in pre-service teachers' prospective ICT integration. However, male pre-service teachers hold more positive attitudes towards ICT use than their female counterparts. Additionally, the findings reveal that the two strongest predictors of pre-service teachers' future ICT use are their attitudes and perceived competency to teach and implement technology in their teaching practices. Finally, the results provide important information about teachers' training needs. Implications of the results and further research are discussed.
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Background: Myocarditis after SARS-CoV2 infection or vaccination is rare, but seems to be relatively more frequent in young population. Cardiac magnetic resonance (CMR) T2 weighted sequences have the potential to detect subclinical myocarditis. However, there is paucity of data on the potential myocardial involvement after SARS-CoV2 infection or vaccination in asymptomatic adolescents. Purpose(s): To evaluate the presence of subclinical myocardial damage in adolescents who were infected with SARS-CoV2 or vaccinated against SARS-CoV2 using non-contrast CMR imaging. Method(s): Asymptomatic adolescents enrolled in the Early ImaginG Markers of unhealthy lifestyles in Adolescents (EnIGMA) project were scanned using a 3-Tesla CMR scanner between March 2021 and October 2021. CMR scans included CINE imaging and myocardial T2-mapping sequences. SARS-CoV2 IgG antibody testing was performed in capillary blood samples, and date of confirmed SARS-CoV2 infection and/or vaccination if any was collected. Participants were assigned to three different groups according to SARS-CoV2 status: Group 1 (non-infected and nonvaccinated), Group 2 (infected and non-vaccinated), and Group 3 (vaccinated, independently of past infection status). CMR images were analyzed by experienced observers blinded to adolescent's SARS-CoV2 status. ANOVA and multiple regression analysis, together with correlation coefficients, were used to study between-group differences and associations among variables of interest. Result(s): A total of 115 adolescents with a mean age of 16.0 years (standard deviation (SD)=0.4), 54% girls, completed the CMR study and SARSCoV2 data successfully, and were assigned to Group 1 (n=72), Group 2 (n=22), and Group 3 (n=21). Left and right ventricular ejection fraction (LVEF/RVEF) did not significantly differ among groups: Mean LVEF was 62.8% (SD=4.1), 63.0% (SD=3.7) and 60.9% (SD=3.9) [p=0.12] and mean RVEF was 56.5% (SD=4.2), 56.5% (SD=5.5) and 54.5% (SD=5.1) [p=0.23] in Groups 1, 2 and 3, respectively. Similarly, there were no between-group significant differences in myocardial T2 relaxation values: Mean T2 values were 44.1 ms (SD=2.2), 44.1 ms (SD=1.8) and 44.4 ms (SD=1.9) in Groups 1, 2, and 3, respectively (p=0.63) (Figure 1). No differences were found either after adjusting for age and gender. Median time (interquartile range) from date of infection or vaccination to CMR acquisition was 133 (121) days and 28 (38) days in Group 2 and Group 3, respectively. No correlation between time from infection/vaccination to CMR acquisition and T2 values was detected (Figure 2). Conclusion(s): This observational study did not find evidence of subclinical myocardial involvement after SARS-CoV2 infection or vaccination in asymptomatic adolescents, as assessed with T2-mapping magnetic resonance imaging.
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This study is conducted to investigate the effectiveness and readiness of teaching and learning among students during the pandemic (COVID-19) towards the online learning among hospitality and tourism students. A quantitative method was employed and students from the Faculty of Hotel and Tourism Management Penang Campus were chosen as the target sample. The sample size for this study was 430 and a total of 360 questionnaires were successfully collected with the return rate of 83.72%. Descriptive analysis was used to interpret the demographic data, Pearson Correlation analysis was employed to examine the correlation among variables, and multiple regression analysis was used to measure the overall relationship between independent and dependent variables. From these analyses, the three (3) variables (social presence, cognitive presence, and teaching presence) were found to have positive relationships with a student's learning experience. Overall, this study is important to fellow academicians, academic researchers, and practitioners in improving their methods of teaching and learning, assisting the students, and strengthening their teaching techniques in online learning.
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Background: The pubertal transition (PT) is characterized by dramatic reproductive hormone fluctuations, a developmental circadian delay, and significant changes in sleep and wake patterns. The PT also marks an abrupt divergence between the sexes in risk for depression and sleep disorders that remains elevated for females across the reproductive lifespan, implicating ovarian hormones (i.e., estradiol (E2)) as a common pathway of risk. Notably, inconsistent schedules during the COVID-19 pandemic have contributed to greater sleep irregularity (especially for adolescents), which is associated with affective impairment and inferior clinical outcomes. The objective of this research is to characterize the pathophysiological impact of E2 on sleep disturbances, endocrine rhythm dysregulation and depressive symptoms in peripubertal females. Method(s): 44 peripubertal females (ages 11-14, within 1-year post-menarche) provided daily hormone (E1G-urinary metabolite of E2) and mood assessments for one menstrual cycle and completed an 8-day sleep assessment (actigraphy, daily sleep diaries), with cortisol and melatonin circadian measurement (over four days) starting at day 7 of the following menstrual cycle. Minute-to-minute consistency in sleep/wake state over 24-hrs was calculated to index sleep regularity (SRI). Result(s): A multiple regression model predicted depressive symptoms (CES-DC) from follicular menstrual cycle phase E1G-AUC, sleep regularity index (SRI), cortisol and melatonin AUCs (F(4,18) = 3.833, p=.020, R2=.46). E1G, cortisol-AUC (p<.05) and SRI (marginally, p=.08) contributed to the prediction. Conclusion(s): Results suggest that greater sleep irregularity, greater follicular estradiol and blunted cortisol may contribute to increased depressive symptoms in peripubertal females, providing mechanistic insight into the estradiol-related sleep and affect disruptions experienced during the pubertal transition. Funding Source: K01MH121575;Foundation of Hope for Research and Treatment of Mental Illness (NC) Keywords: Puberty, Sleep Disturbances, Estradiol, Circadian Rhythms, Depressive SymptomsCopyright © 2023
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In their business operations, mining companies that process natural resources must deal with environmental degradation. The companies shall do environmental preservation to mitigate global warming due to business processes and make an environmental responsibility report to ensure a sustainable business. Whether the COVID-19 pandemic affects environmental responsibility is the focus of this study. The pandemic disrupts all sectors, including the mining industry. Therefore, this study investigates the level of environmental reporting made by mining companies before and after the COVID-19 outbreak. In addition, this study also investigates the determinants of the level of environmental reporting disclosed in either the annual report or sustainability report. Thirty-seven companies listed on the Indonesia Stock Exchange in the mining sector in 2019 and 2020 were used as a sample. Results from the Wilcoxon signed rank analysis suggest that the level of environmental disclosure increased following the epidemic's spread, contrasted to levels prior to the outbreak. The multiple regression analysis reveals that public ownership and size are likely to enhance environmental disclosure. Meanwhile, leverage tends to reduce environmental disclosure. The analysis offers perspective on the capital market authority agency's new strategy aimed at enhancing aspects that could influence environmental responsibility disclosure.
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The nursing staff is more likely to experience drastic stress, which can compromise their physical and mental health and affect the quality of their work. This study aimed to assess the attachment type and affective temperament in connection to the psychological effects of the COVID-19 pandemic on psychiatric hospital nurses. We conducted a cross-sectional online survey utilizing a convenience sample population of 100 nurses who served on the front lines during the COVID-19 outbreak. The key findings showed that most nurses reported moderate attachment anxiety, moderate affective temperament, and mild psychological distress. It is crucial to offer nurses psychological support during COVID-19 through various channels.
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The study investigated the challenges encountered by mathematics postgraduate students' learning courses via online platforms. An online survey included 31 postgraduate mathematics students. Mean responses and regression analysis were used for data evaluation. The results indicate social-related challenges are the most important factor to learn mathematics in an online platform, although the challenges including accessibility of online learning resource, course nature, online learning skill, and instructor-related challenges are confirmed with a higher mean response. Moreover, a multiple regression analysis has indicated that social and instructor related challenges are significant predictors of students' overall expectation of learning mathematics courses on the online platform. The study concluded that students prefer learning mathematics courses via face-to-face approach over online platforms, and students do not want to extend semester courses with an online approach. From the finding, adapting a blended approach is recommended for a similar situation of the current study.
ABSTRACT
Drawing on social cognitive theory, this study investigated instructors' online teaching self-efficacy during the sudden, COVID-19-induced transition to online teaching. The pandemic has forced instructors to shift to online teaching, arming them with valuable hands-on experience in this alternative teaching mode. This study examined instructors' online teaching self-efficacy, perceived benefits, intention to implement online teaching strategies in their future teaching, and the challenges encountered during this transition. A total of 344 instructors completed the developed and validated questionnaire. The data were analyzed using multiple linear regression modeling, using the stepwise estimation technique. The findings demonstrate that affiliated universities, the quality of online learning, and previous use of learning management systems (LMS) are significant predictors of instructors' online teaching self-efficacy. Online teaching self-efficacy, along with gender, quality of online learning, and professional training are significant predictors of the perceived benefits of online learning during emergencies. Meanwhile, the quality of online learning and professional training are significant predictors of instructors' intention to implement online teaching strategies and learning technology tools. Instructors ranked remote assessment as the most challenging factor in online teaching during emergencies, and internet access or internet speed as the first and most complicated hindrance for students in this transition. This study helps in understanding instructors' online teaching self-efficacy during the sudden transition and the positive consequences of shifting to the online mode due to the COVID-19 pandemic on the higher education field. Recommendations and implications are discussed.