Pub Date : 2023-04-12DOI: 10.6000/1929-6029.2023.12.05
L. Smokova, M. Zhylin, Viktoriia Mendelo, M. Kyrylishyna, O. Danilova
Drug addiction is a current global problem, which causes significant damage to the individual and society as a whole. Drug addicts have numerous disorders, among which the emotional sphere occupies an important place. Identification of social and psychological factors affecting the development of emotional intelligence of drug addicts will make it possible to optimize their psychological rehabilitation programmes. The aim of the study is based on establishing the influence of social and psychological factors on the development of the emotional intelligence level in drug addicts. Methods: The research programme uses standardized psychometric diagnostic methods (MSPSS, Self-Monitoring Scale, EQ-test, Self-esteem test). Descriptive statistics, the Kruskal-Wallace H test, and Pearson’s linear correlation coefficient were used. The Results: The study showed that a low level of emotional intelligence prevails among the surveyed drug addicts (M=37.63±13.38). At the same time, people with a low level have pronounced signs of low social self-control (Н=67.64, р≤0.001), social support (Н=67.76, р≤0.001), and self-esteem (Н=89.12, р≤0.001). Correlation analysis revealed a close direct relationship between emotional intelligence and social self-control (r=0.681, p≤0.001), social support (r=0.632, p≤0.001), and self-esteem (r=0.726, p≤0.001). Conclusions: The study found that the development of emotional intelligence of drug addicts is influenced by such social and psychological factors as social self-control, social support, and self-esteem. These factors determine the ability to manage emotions, adequately perceive them and objectively express them. Prospects: The identified results can be used when building a system of psychological rehabilitation for persons with drug addiction. In particular, to develop emotional intelligence, and improving general emotional well-being.
{"title":"Socio-Psychological Factors in the Development of Emotional Intelligence of Drug Addicts","authors":"L. Smokova, M. Zhylin, Viktoriia Mendelo, M. Kyrylishyna, O. Danilova","doi":"10.6000/1929-6029.2023.12.05","DOIUrl":"https://doi.org/10.6000/1929-6029.2023.12.05","url":null,"abstract":"Drug addiction is a current global problem, which causes significant damage to the individual and society as a whole. Drug addicts have numerous disorders, among which the emotional sphere occupies an important place. Identification of social and psychological factors affecting the development of emotional intelligence of drug addicts will make it possible to optimize their psychological rehabilitation programmes. \u0000The aim of the study is based on establishing the influence of social and psychological factors on the development of the emotional intelligence level in drug addicts. \u0000Methods: The research programme uses standardized psychometric diagnostic methods (MSPSS, Self-Monitoring Scale, EQ-test, Self-esteem test). Descriptive statistics, the Kruskal-Wallace H test, and Pearson’s linear correlation coefficient were used. \u0000The Results: The study showed that a low level of emotional intelligence prevails among the surveyed drug addicts (M=37.63±13.38). At the same time, people with a low level have pronounced signs of low social self-control (Н=67.64, р≤0.001), social support (Н=67.76, р≤0.001), and self-esteem (Н=89.12, р≤0.001). Correlation analysis revealed a close direct relationship between emotional intelligence and social self-control (r=0.681, p≤0.001), social support (r=0.632, p≤0.001), and self-esteem (r=0.726, p≤0.001). \u0000Conclusions: The study found that the development of emotional intelligence of drug addicts is influenced by such social and psychological factors as social self-control, social support, and self-esteem. These factors determine the ability to manage emotions, adequately perceive them and objectively express them. \u0000Prospects: The identified results can be used when building a system of psychological rehabilitation for persons with drug addiction. In particular, to develop emotional intelligence, and improving general emotional well-being.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43739905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-25DOI: 10.6000/1929-6029.2023.12.04
R. Martini, Dorisnita, Hartati
Objective: This study sought to estimate the prevalence of COVID-19 infection among hospital staff according to various factors. Moreover, it sought to identify any factors that predicted a higher probability of infection in this population. Methods: This descriptive research was conducted among medical and non-medical personnel at Padang City Center Hospital, Indonesia (n=129). A chi-square test analysis was used to determine the degree of interrelationship between the studied variables, while an odds ratio (OR) test was performed to identify more potential categories. Results: Some 31.8% of respondents tested positive for COVID-19, although this finding was insignificant (p>0.05). In terms of the OR, the following probabilities were calculated: age (OR=1.0 [0.36–2.88]); medical history (OR=1.3 [0.23–2.0]); higher education (OR=1.9 [0.2–17.6]); wearing a good mask (OR=0.7 [0.07–7.02]); good hand washing (OR=1.8 [0.46–7.07]); good physical distancing (OR=1.8 [0.46–7.07]); good personal protective equipment (OR=0.7 [0.07–7.02]); normal depression, anxiety, and stress (OR<1.0); and comorbidity (OR=1,2 [0.46-3.06]). Conclusion: No significant relationship was found between the studied factors and COVID-19 infection. However, there were more potential trends, especially for highly educated medical teams, not wearing a mask, smoking, engaging in strenuous activity, poor psychology, and comorbidity. These findings should prompt policymakers tasked with developing resources and interventions to pay more attention to the needs of medical and non-medical staff during the COVID-19 pandemic, especially the availability of masks.
{"title":"Risk Factors for COVID-19: A Quantitative Study Conducted at Padang City Center Hospital","authors":"R. Martini, Dorisnita, Hartati","doi":"10.6000/1929-6029.2023.12.04","DOIUrl":"https://doi.org/10.6000/1929-6029.2023.12.04","url":null,"abstract":"Objective: This study sought to estimate the prevalence of COVID-19 infection among hospital staff according to various factors. Moreover, it sought to identify any factors that predicted a higher probability of infection in this population. \u0000Methods: This descriptive research was conducted among medical and non-medical personnel at Padang City Center Hospital, Indonesia (n=129). A chi-square test analysis was used to determine the degree of interrelationship between the studied variables, while an odds ratio (OR) test was performed to identify more potential categories. \u0000Results: Some 31.8% of respondents tested positive for COVID-19, although this finding was insignificant (p>0.05). In terms of the OR, the following probabilities were calculated: age (OR=1.0 [0.36–2.88]); medical history (OR=1.3 [0.23–2.0]); higher education (OR=1.9 [0.2–17.6]); wearing a good mask (OR=0.7 [0.07–7.02]); good hand washing (OR=1.8 [0.46–7.07]); good physical distancing (OR=1.8 [0.46–7.07]); good personal protective equipment (OR=0.7 [0.07–7.02]); normal depression, anxiety, and stress (OR<1.0); and comorbidity (OR=1,2 [0.46-3.06]). \u0000Conclusion: No significant relationship was found between the studied factors and COVID-19 infection. However, there were more potential trends, especially for highly educated medical teams, not wearing a mask, smoking, engaging in strenuous activity, poor psychology, and comorbidity. These findings should prompt policymakers tasked with developing resources and interventions to pay more attention to the needs of medical and non-medical staff during the COVID-19 pandemic, especially the availability of masks.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43899477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-09DOI: 10.6000/1929-6029.2023.12.03
V. Deo, G. Grover, Ravi Vajala, Chandra Bhan Yadav
In this paper, the time dependent carrier-borne epidemic model defined by Weiss in 1965 has been adopted into a Bayesian framework for the estimation of its parameters. A complete methodological structure has been proposed for estimating the relative infection rate and probability of survival of k out of m susceptibles after time t from the start of the epidemic. The methodology has been proposed assuming a single carrier to simplify the study of the behavioral validity of the fitted Bayesian model with respect to time and relative infection rate. Further, the proposed model has been implemented on two real data sets- the typhoid epidemic data from Zermatt in Switzerland and the Covid-19 epidemic data from Kerala in India. Results show that the proposed methodology produces reliable predictions which are consistent with those of the maximum likelihood estimates and with expected epidemiological patterns.
{"title":"Bayesian Formulation of Time-Dependent Carrier-Borne Epidemic Model with a Single Carrier","authors":"V. Deo, G. Grover, Ravi Vajala, Chandra Bhan Yadav","doi":"10.6000/1929-6029.2023.12.03","DOIUrl":"https://doi.org/10.6000/1929-6029.2023.12.03","url":null,"abstract":"In this paper, the time dependent carrier-borne epidemic model defined by Weiss in 1965 has been adopted into a Bayesian framework for the estimation of its parameters. A complete methodological structure has been proposed for estimating the relative infection rate and probability of survival of k out of m susceptibles after time t from the start of the epidemic. The methodology has been proposed assuming a single carrier to simplify the study of the behavioral validity of the fitted Bayesian model with respect to time and relative infection rate. Further, the proposed model has been implemented on two real data sets- the typhoid epidemic data from Zermatt in Switzerland and the Covid-19 epidemic data from Kerala in India. Results show that the proposed methodology produces reliable predictions which are consistent with those of the maximum likelihood estimates and with expected epidemiological patterns.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44097978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-08DOI: 10.6000/1929-6029.2023.12.02
N. Panda, K. L. Mahanta, Jitendra Kumar Pati, P. Varanasi, Ruchi Bhuyan
In healthcare research, predictive modeling is commonly utilized to forecast risk variables and enhance treatment procedures for improved patient outcomes. Enormous quantities of data are being created as a result of recent advances in research, clinical trials, next-generation genomic sequencing, biomarkers, and transcriptional and translational studies. Understanding how to handle and comprehend scientific data to offer better treatment for patients is critical. Currently, multiple prediction models are being utilized to investigate patient outcomes. However, it is critical to recognize the limitations of these models in the research design and their unique benefits and drawbacks. In this overview, we will look at linear regression, logistic regression, decision trees, and artificial neural network prediction models, as well as their advantages and disadvantages. The two most perilous requirements for building any predictive healthcare model are feature selection and model validation. Typically, feature selection is done by a review of the literature and expert opinion on that subject. Model validation is also an essential component of every prediction model. It characteristically relates to the predictive model's performance and accuracy. It is strongly recommended that all clinical parameters should be thoroughly examined before using any prediction model.
{"title":"Comparison of Some Prediction Models and their Relevance in the Clinical Research","authors":"N. Panda, K. L. Mahanta, Jitendra Kumar Pati, P. Varanasi, Ruchi Bhuyan","doi":"10.6000/1929-6029.2023.12.02","DOIUrl":"https://doi.org/10.6000/1929-6029.2023.12.02","url":null,"abstract":"In healthcare research, predictive modeling is commonly utilized to forecast risk variables and enhance treatment procedures for improved patient outcomes. Enormous quantities of data are being created as a result of recent advances in research, clinical trials, next-generation genomic sequencing, biomarkers, and transcriptional and translational studies. Understanding how to handle and comprehend scientific data to offer better treatment for patients is critical. Currently, multiple prediction models are being utilized to investigate patient outcomes. However, it is critical to recognize the limitations of these models in the research design and their unique benefits and drawbacks. In this overview, we will look at linear regression, logistic regression, decision trees, and artificial neural network prediction models, as well as their advantages and disadvantages. The two most perilous requirements for building any predictive healthcare model are feature selection and model validation. Typically, feature selection is done by a review of the literature and expert opinion on that subject. Model validation is also an essential component of every prediction model. It characteristically relates to the predictive model's performance and accuracy. It is strongly recommended that all clinical parameters should be thoroughly examined before using any prediction model.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45314687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-15DOI: 10.6000/1929-6029.2023.12.01
Derviş Ozan, M. Kılıç
Purpose: The purpose of the study is to measure the effect of health literacy (HL) level on the level of use of e-health applications among public employees, excluding health workers serving directly to the public and working in public institutions in the downtown area of Yozgat, Turkey. Methods: The study is cross-sectional and was conducted in 2021 among public employees. 476 public personnel working in state institutions in the city center participated in the study. Chi-square test, t-test, ANOVA, and multinomial logistic regression were used to evaluate the data. Results: Of the participants, 64.3% of them were male, 74.9% were married, 45.3% were in the 30-39 age group, and 60.9% were undergraduates. It was observed that 21.5% of the people in the research group had insufficient health literacy (SSL), 41.3% were problematic and 37.2% were sufficient. It was seen that the most used E-health application was E-pulse with 84.9%, followed by Life Fits into Home (LFH) and Central Physician Appointment System (CPAS) (64.3%), and the lowest was the hospitals' online systems (29.1%). The use of E-Nabız (e-Pulse) and E-Devlet (e-Government) SSI applications according to HL level was not found to be statistically significant (p>0.05). Conclusion: The vast majority of public employees use E-Pulse, and approximately 2/3 of them use LFH and CPAS. Less than half of the participants in the study had a sufficient health-literacy level, and the effect on e-Health practices was not found significant.
目的：本研究的目的是测量健康素养（HL）水平对公共雇员使用电子健康应用程序水平的影响，不包括直接为公众服务和在土耳其约兹加特市中心公共机构工作的卫生工作者。方法：该研究为横断面研究，于2021年在公职人员中进行。476名在市中心国家机构工作的公共人员参与了这项研究。采用卡方检验、t检验、方差分析和多项逻辑回归对数据进行评估。结果：参与者中，64.3%为男性，74.9%为已婚，45.3%为30-39岁年龄组，60.9%为本科生。据观察，研究组中21.5%的人健康素养（SSL）不足，41.3%有问题，37.2%足够。可以看出，最常用的E-health应用是E-pulse（84.9%），其次是Life Fits into Home（LFH）和中心医师预约系统（CPAS）（64.3%），最低的是医院的在线系统（29.1%）。根据HL水平使用E-Nabız（E-Pulse）和E-Devlet（E-Government）SSI应用程序的情况没有统计学意义（p>0.05）。结论：绝大多数公职人员使用E-Pulse，其中约2/3使用LFH和CPAS。该研究中只有不到一半的参与者具有足够的健康知识水平，对电子健康实践的影响并不显著。
{"title":"The Effect of Health Literacy Level on the Use of E-Health Applications","authors":"Derviş Ozan, M. Kılıç","doi":"10.6000/1929-6029.2023.12.01","DOIUrl":"https://doi.org/10.6000/1929-6029.2023.12.01","url":null,"abstract":"Purpose: The purpose of the study is to measure the effect of health literacy (HL) level on the level of use of e-health applications among public employees, excluding health workers serving directly to the public and working in public institutions in the downtown area of Yozgat, Turkey. \u0000Methods: The study is cross-sectional and was conducted in 2021 among public employees. 476 public personnel working in state institutions in the city center participated in the study. Chi-square test, t-test, ANOVA, and multinomial logistic regression were used to evaluate the data. \u0000Results: Of the participants, 64.3% of them were male, 74.9% were married, 45.3% were in the 30-39 age group, and 60.9% were undergraduates. It was observed that 21.5% of the people in the research group had insufficient health literacy (SSL), 41.3% were problematic and 37.2% were sufficient. It was seen that the most used E-health application was E-pulse with 84.9%, followed by Life Fits into Home (LFH) and Central Physician Appointment System (CPAS) (64.3%), and the lowest was the hospitals' online systems (29.1%). The use of E-Nabız (e-Pulse) and E-Devlet (e-Government) SSI applications according to HL level was not found to be statistically significant (p>0.05). \u0000Conclusion: The vast majority of public employees use E-Pulse, and approximately 2/3 of them use LFH and CPAS. Less than half of the participants in the study had a sufficient health-literacy level, and the effect on e-Health practices was not found significant.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43676000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-15Epub Date: 2023-09-07DOI: 10.6000/1929-6029.2023.12.12
Xinran Wang, Diane Jacobs, David P Salmon, Howard H Feldman, Steven D Edland
Introduction: Cognitive composite scales constructed by combining existing neuropsychometric tests are seeing wide application as endpoints for clinical trials and cohort studies of Alzheimer's disease (AD) predementia conditions. Preclinical Alzheimer's Cognitive Composite (PACC) scales are composite scores calculated as the sum of the component test scores weighted by the reciprocal of their standard deviations at the baseline visit. Reciprocal standard deviation is an arbitrary weighting in this context, and may be an inefficient utilization of the data contained in the component measures. Mathematically derived optimal composite weighting is a promising alternative.
Methods: Sample size projections using standard power calculation formulas were used to describe the relative performance of component measures and their composites when used as endpoints for clinical trials. Power calculations were informed by (n=1,333) amnestic mild cognitive impaired participants in the National Alzheimer's Coordinating Center (NACC) Uniform Data Set.
Results: A composite constructed using PACC reciprocal standard deviation weighting was both less sensitive to change than one of its component measures and less sensitive to change than its optimally weighted counterpart. In standard sample size calculations informed by NACC data, a clinical trial using the PACC weighting would require 38% more subjects than a composite calculated using optimal weighting.
Discussion: These findings illustrate how reciprocal standard deviation weighting can result in inefficient cognitive composites, and underscore the importance of component weights to the performance of composite scales. In the future, optimal weighting parameters informed by accumulating clinical trial data may improve the efficiency of clinical trials in AD.
{"title":"Optimal Weighting of Preclinical Alzheimer's Cognitive Composite (PACC) Scales to Improve their Performance as Outcome Measures for Alzheimer's Disease Clinical Trials.","authors":"Xinran Wang, Diane Jacobs, David P Salmon, Howard H Feldman, Steven D Edland","doi":"10.6000/1929-6029.2023.12.12","DOIUrl":"10.6000/1929-6029.2023.12.12","url":null,"abstract":"<p><strong>Introduction: </strong>Cognitive composite scales constructed by combining existing neuropsychometric tests are seeing wide application as endpoints for clinical trials and cohort studies of Alzheimer's disease (AD) predementia conditions. Preclinical Alzheimer's Cognitive Composite (PACC) scales are composite scores calculated as the sum of the component test scores weighted by the reciprocal of their standard deviations at the baseline visit. Reciprocal standard deviation is an arbitrary weighting in this context, and may be an inefficient utilization of the data contained in the component measures. Mathematically derived optimal composite weighting is a promising alternative.</p><p><strong>Methods: </strong>Sample size projections using standard power calculation formulas were used to describe the relative performance of component measures and their composites when used as endpoints for clinical trials. Power calculations were informed by (n=1,333) amnestic mild cognitive impaired participants in the National Alzheimer's Coordinating Center (NACC) Uniform Data Set.</p><p><strong>Results: </strong>A composite constructed using PACC reciprocal standard deviation weighting was both less sensitive to change than one of its component measures and less sensitive to change than its optimally weighted counterpart. In standard sample size calculations informed by NACC data, a clinical trial using the PACC weighting would require 38% more subjects than a composite calculated using optimal weighting.</p><p><strong>Discussion: </strong>These findings illustrate how reciprocal standard deviation weighting can result in inefficient cognitive composites, and underscore the importance of component weights to the performance of composite scales. In the future, optimal weighting parameters informed by accumulating clinical trial data may improve the efficiency of clinical trials in AD.</p>","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":" ","pages":"90-96"},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10939003/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46978229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-30DOI: 10.6000/1929-6029.2022.11.23
Santhosh Kumar Caliaperoumal, S. Ravi, M. Thirumaran, B. Jeyakumar, Devi Mani
Background/Purpose: Oral Squamous cell carcinoma is sixth most common cancer with considerable morbidity and mortality. The microRNAs (miRNAs) are set of short RNAs involved in regulating the expression of protein coding genes. They are up or down-regulated in carcinogenesis and in oral cancer. The miRNA-31 (miR-31) is increased in oral cancer. Objective: To evaluate and compare the expression of miRNA-31 in plasma of Oral squamous cell carcinoma and control subjects. Materials and Methods: Case control study was carried out in 25 cases of oral squamous cell carcinoma subjects and 25 normal control subjects. The level of miRNA-31 in blood plasma was evaluated by miRNA easy kit (quagen) and miRNA-based qRT-PCR. The fold change was observed and compared between OSCC and controls. Results: The plasma level of miRNA-31 was significantly increased in OSCC patients compared to controls (p<0.001). The patients with moderately differentiated, grade 4 OSCC patients showed significant increase in fold change compared to control, well differentiated and grade 3 OSCC (p<0.001). Conclusion: Our results indicate that plasma miR-31 may be used as an adjuvant biomarker the detection of OSCC patient.
{"title":"Evaluation and Comparison of Plasma miRNA-31 in Oral Squamous Cell Carcinoma","authors":"Santhosh Kumar Caliaperoumal, S. Ravi, M. Thirumaran, B. Jeyakumar, Devi Mani","doi":"10.6000/1929-6029.2022.11.23","DOIUrl":"https://doi.org/10.6000/1929-6029.2022.11.23","url":null,"abstract":"Background/Purpose: Oral Squamous cell carcinoma is sixth most common cancer with considerable morbidity and mortality. The microRNAs (miRNAs) are set of short RNAs involved in regulating the expression of protein coding genes. They are up or down-regulated in carcinogenesis and in oral cancer. The miRNA-31 (miR-31) is increased in oral cancer.\u0000Objective: To evaluate and compare the expression of miRNA-31 in plasma of Oral squamous cell carcinoma and control subjects.\u0000Materials and Methods: Case control study was carried out in 25 cases of oral squamous cell carcinoma subjects and 25 normal control subjects. The level of miRNA-31 in blood plasma was evaluated by miRNA easy kit (quagen) and miRNA-based qRT-PCR. The fold change was observed and compared between OSCC and controls.\u0000Results: The plasma level of miRNA-31 was significantly increased in OSCC patients compared to controls (p<0.001). The patients with moderately differentiated, grade 4 OSCC patients showed significant increase in fold change compared to control, well differentiated and grade 3 OSCC (p<0.001).\u0000Conclusion: Our results indicate that plasma miR-31 may be used as an adjuvant biomarker the detection of OSCC patient.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48086620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-30DOI: 10.6000/1929-6029.2022.11.20
Muhammad Nur Hilmi Che Hassan, M. Zakaria, Wan Najibah Wan Mohamad
Introduction: The ability to localize sound sources is crucial for humans. Due to specific hearing disorders, the affected individuals may have problems to accurately locate the sound sources, leading to other unwanted consequences. Nevertheless, a simple auditory localization test (that employs moving auditory stimuli) is currently lacking in clinical settings. Essentially, the objectives of the present study were to develop a virtual moving auditory localization (vMAL) test that is suitable for assessing children and assess the validity and the reliability of this test. Materials and Methods: This study consisted of two consecutive phases. In phase 1, the required stimulus and the test set up for the vMAL test were established. Two loudspeakers were employed to produce five virtual positions, and eight different moving conditions were constructed. In phase 2, 24 normal-hearing Malaysian children (aged 7-12 years) underwent the vMAL test. The validity and the reliability of this test were then assessed using several validation measures. Fleiss Kappa and Spearman correlation analyses were used to analyse the obtained data. Results: The vMAL test was found to have good convergent validity (kappa = 0.64) and good divergent validity (kappa = -0.06). Based on the item-total correlation and Spearman coefficient rho results, this test was found to have good internal reliability (rho = 0.36-0.75) and excellent external (test-retest) reliability (rho = 0.99). Conclusions: in this study a new vMAL test was developed and proven to be valid and reliable accordingly for its intended applications. This test can be useful in clinical settings since it is simple to administer, cost-effective, does not take up much room, and can assess auditory localization performance in children. The outcomes of the present study may serve as preliminary normative data as well as guidelines for future auditory localization research.
{"title":"Development and Validation of a Virtual Moving Auditory Localization (vMAL) Test among Healthy Children","authors":"Muhammad Nur Hilmi Che Hassan, M. Zakaria, Wan Najibah Wan Mohamad","doi":"10.6000/1929-6029.2022.11.20","DOIUrl":"https://doi.org/10.6000/1929-6029.2022.11.20","url":null,"abstract":"Introduction: The ability to localize sound sources is crucial for humans. Due to specific hearing disorders, the affected individuals may have problems to accurately locate the sound sources, leading to other unwanted consequences. Nevertheless, a simple auditory localization test (that employs moving auditory stimuli) is currently lacking in clinical settings. Essentially, the objectives of the present study were to develop a virtual moving auditory localization (vMAL) test that is suitable for assessing children and assess the validity and the reliability of this test. \u0000Materials and Methods: This study consisted of two consecutive phases. In phase 1, the required stimulus and the test set up for the vMAL test were established. Two loudspeakers were employed to produce five virtual positions, and eight different moving conditions were constructed. In phase 2, 24 normal-hearing Malaysian children (aged 7-12 years) underwent the vMAL test. The validity and the reliability of this test were then assessed using several validation measures. Fleiss Kappa and Spearman correlation analyses were used to analyse the obtained data. \u0000Results: The vMAL test was found to have good convergent validity (kappa = 0.64) and good divergent validity (kappa = -0.06). Based on the item-total correlation and Spearman coefficient rho results, this test was found to have good internal reliability (rho = 0.36-0.75) and excellent external (test-retest) reliability (rho = 0.99). \u0000Conclusions: in this study a new vMAL test was developed and proven to be valid and reliable accordingly for its intended applications. This test can be useful in clinical settings since it is simple to administer, cost-effective, does not take up much room, and can assess auditory localization performance in children. The outcomes of the present study may serve as preliminary normative data as well as guidelines for future auditory localization research.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46296248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-30DOI: 10.6000/1929-6029.2022.11.22
Bipasha Singha, S. C. Karmaker, M. Islam, Kareman Eljamal, B. Saha
Background and Objective: In addition to the reduction of risk of COVID-19 transmission and mortality, vaccination and compliance with the preventive measures of COVID-19 may have important additional benefits for the improvement of mental health. This study examined the levels and determinants of vaccination, compliance with preventive measures, and anxiety, depression and stress among Bangladeshi adults. It also examined the effects of vaccination and compliance with preventive measures on mental health status among Bangladeshi adults. Methods: Data for the study come from an online survey conducted during November and December 2021 among Bangladeshi adults. A total of 615 adults participated in the survey. A 21-item Depression, Anxiety, and Stress scale (DASS 21) were used for collecting data on mental health. Both descriptive and inferential statistical methods including multiple logistic regression were used for data analysis. Results: About 69% of Bangladeshi adults were vaccinated with at least one dose; 87% of adults believed that vaccines are moderate to highly effective in reducing COVID-19 infection. Among the preventive measures during a pandemic, the level of complete compliance with wearing masks and hand washing was almost universal, while the compliance level with other preventive measures was moderate. Vaccinated people had a 55% (OR=0.45; 95%CI:0.26-0.82), 67% (OR=0.33; 95%CI:0.12-0.91), and 44% (OR=0.56; 95%CI:0.27-0.97) lower chance of suffering from depression, anxiety, and stress, respectively than non-vaccinated people. People with complete compliance had 64% (OR= 0.36; 95%CI:0.18-0.72), 71% (OR=0.29; 95%CI:0.15-0.58), and 74% (OR=0.26; 95%CI:0.13-0.50) lower risk of suffering from depression, anxiety, and stress, respectively, than respondents with irregular preventive behaviors. Conclusion: This study documents the important psychological benefits of vaccination and compliance with preventive measures of COVID-19.
{"title":"Vaccination, Compliance with Preventive Measures and Mental Health during COVID-19 among Adults in Bangladesh: Do Vaccination and Compliance with Preventive Measures Improve Mental Health?","authors":"Bipasha Singha, S. C. Karmaker, M. Islam, Kareman Eljamal, B. Saha","doi":"10.6000/1929-6029.2022.11.22","DOIUrl":"https://doi.org/10.6000/1929-6029.2022.11.22","url":null,"abstract":"Background and Objective: In addition to the reduction of risk of COVID-19 transmission and mortality, vaccination and compliance with the preventive measures of COVID-19 may have important additional benefits for the improvement of mental health. This study examined the levels and determinants of vaccination, compliance with preventive measures, and anxiety, depression and stress among Bangladeshi adults. It also examined the effects of vaccination and compliance with preventive measures on mental health status among Bangladeshi adults.\u0000Methods: Data for the study come from an online survey conducted during November and December 2021 among Bangladeshi adults. A total of 615 adults participated in the survey. A 21-item Depression, Anxiety, and Stress scale (DASS 21) were used for collecting data on mental health. Both descriptive and inferential statistical methods including multiple logistic regression were used for data analysis.\u0000Results: About 69% of Bangladeshi adults were vaccinated with at least one dose; 87% of adults believed that vaccines are moderate to highly effective in reducing COVID-19 infection. Among the preventive measures during a pandemic, the level of complete compliance with wearing masks and hand washing was almost universal, while the compliance level with other preventive measures was moderate. Vaccinated people had a 55% (OR=0.45; 95%CI:0.26-0.82), 67% (OR=0.33; 95%CI:0.12-0.91), and 44% (OR=0.56; 95%CI:0.27-0.97) lower chance of suffering from depression, anxiety, and stress, respectively than non-vaccinated people. People with complete compliance had 64% (OR= 0.36; 95%CI:0.18-0.72), 71% (OR=0.29; 95%CI:0.15-0.58), and 74% (OR=0.26; 95%CI:0.13-0.50) lower risk of suffering from depression, anxiety, and stress, respectively, than respondents with irregular preventive behaviors.\u0000Conclusion: This study documents the important psychological benefits of vaccination and compliance with preventive measures of COVID-19.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43272652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-30DOI: 10.6000/1929-6029.2022.11.24
Anis Febri Nilansari, Puji Handayani Putri
Drug Information Service is the duty and responsibility of a pharmacy in providing pharmaceutical services. There is 8 drug information that must be conveyed by pharmacists to patients, but based on reference data that information has not been conveyed completely. Therefore, in this study, a drug use information system was created. The purpose of this study was to assess the benefits and effectiveness of information systems in improving pharmaceutical services. The method of making the system in this study uses the prototype method. System analysis was carried out using a descriptive survey research method. The population used in this study were patients in one of the clinics in Yogyakarta in December 2021. The results of the study on 1250 respondents to assess the benefits of information systems, obtained an average score of 67% on giving information on drug use manually, and an average score of 86% on providing information on drug use along with using information systems. Information on drug use that pharmacists rarely convey in the form of information on how to store, side effects, and drug interactions. Assessment of the effectiveness of the information system shows that respondents feel helped by the existence of an information system with good assessment criteria (4 questions) and sufficient (1 question), while the average score is 88%. This study concludes that providing information on drug use accompanied by using an information system can make it easier for patients to understand the information provided to improve pharmaceutical services.
{"title":"Assessment of the Benefits and Effectiveness of Information Systems for Drug Use as an Effort to Improve Pharmaceutical Services","authors":"Anis Febri Nilansari, Puji Handayani Putri","doi":"10.6000/1929-6029.2022.11.24","DOIUrl":"https://doi.org/10.6000/1929-6029.2022.11.24","url":null,"abstract":"Drug Information Service is the duty and responsibility of a pharmacy in providing pharmaceutical services. There is 8 drug information that must be conveyed by pharmacists to patients, but based on reference data that information has not been conveyed completely. Therefore, in this study, a drug use information system was created. The purpose of this study was to assess the benefits and effectiveness of information systems in improving pharmaceutical services. The method of making the system in this study uses the prototype method. System analysis was carried out using a descriptive survey research method. The population used in this study were patients in one of the clinics in Yogyakarta in December 2021. The results of the study on 1250 respondents to assess the benefits of information systems, obtained an average score of 67% on giving information on drug use manually, and an average score of 86% on providing information on drug use along with using information systems. Information on drug use that pharmacists rarely convey in the form of information on how to store, side effects, and drug interactions. Assessment of the effectiveness of the information system shows that respondents feel helped by the existence of an information system with good assessment criteria (4 questions) and sufficient (1 question), while the average score is 88%. This study concludes that providing information on drug use accompanied by using an information system can make it easier for patients to understand the information provided to improve pharmaceutical services.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42824074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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