Pub Date : 2024-07-15DOI: 10.6000/1929-6029.2024.13.08
Fivit Febriani Malik, Ridwan Amiruddin, Wahiduddin Wahiduddin, I. L. Maria, Nurzakiah Hasan, Fridawaty Rivai, Haerani Haerani
Background: Diabetes mellitus is one of the diseases that ranks high in the list of non-communicable diseases in Indonesia. Factors that can affect quality of life such as physical environment and psychological. Objective: This study aims to examine the relationship between characteristic, physical environment and psychological on quality of life of type II diabetes mellitus patients at the Barombong Public Health Center, Makkasar City. Methodology: This study is a quantitative research with an analytical observational approach using a cross-sectional design. The population size in this study is 578 individuals, sample calculation using the WHO formula yielded a sample size of 385 individuals with predefined exclusion an inclusion criteria. The sampling technique employed is simple random sampling (SRS), and the hypothesis test used is chi-square. Results: Bivariate statistical analysis shows that there is a relationship between quality of life and age (p=0,000), duration of illness (p=0,000), temperature (p=0,000), noise (p=0,000), positive feelings (p=0,000), thinking, learning, and concentration (p=0,000), self-esteem (p=0,000), while variables that are not associated with quality of life are gender (p=0,111), marital status (p=0,228) and social support (p=0,645). Based on logistic regression analysis, it was found that the factors that most influence quality of life are duration of illness (p=0,000) and positive feelings (p=0,000). Conclusion: Length of suffering and positive feelings are the most dominant variables associated with quality of life with a probability level of 99.8%.
{"title":"Support of Characteristics, Physical Environmental and Psychological On Quality Of Life Of Patients With DM Type II","authors":"Fivit Febriani Malik, Ridwan Amiruddin, Wahiduddin Wahiduddin, I. L. Maria, Nurzakiah Hasan, Fridawaty Rivai, Haerani Haerani","doi":"10.6000/1929-6029.2024.13.08","DOIUrl":"https://doi.org/10.6000/1929-6029.2024.13.08","url":null,"abstract":"Background: Diabetes mellitus is one of the diseases that ranks high in the list of non-communicable diseases in Indonesia. Factors that can affect quality of life such as physical environment and psychological. \u0000Objective: This study aims to examine the relationship between characteristic, physical environment and psychological on quality of life of type II diabetes mellitus patients at the Barombong Public Health Center, Makkasar City. \u0000Methodology: This study is a quantitative research with an analytical observational approach using a cross-sectional design. The population size in this study is 578 individuals, sample calculation using the WHO formula yielded a sample size of 385 individuals with predefined exclusion an inclusion criteria. The sampling technique employed is simple random sampling (SRS), and the hypothesis test used is chi-square. \u0000Results: Bivariate statistical analysis shows that there is a relationship between quality of life and age (p=0,000), duration of illness (p=0,000), temperature (p=0,000), noise (p=0,000), positive feelings (p=0,000), thinking, learning, and concentration (p=0,000), self-esteem (p=0,000), while variables that are not associated with quality of life are gender (p=0,111), marital status (p=0,228) and social support (p=0,645). Based on logistic regression analysis, it was found that the factors that most influence quality of life are duration of illness (p=0,000) and positive feelings (p=0,000). \u0000Conclusion: Length of suffering and positive feelings are the most dominant variables associated with quality of life with a probability level of 99.8%.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":"54 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141644511","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 : 2024-06-04DOI: 10.6000/1929-6029.2024.13.06
Noora Al-Shanfari, Ronald Wesonga, Amadou Sarr, M. M. Islam
Understanding the survival dynamics of registered patients on a disease control program is a vital issue for the success of program objectives. Dropout of registered patients from such a program is a critical issue, hindering the effectiveness of the program. This study aimed to identify the risk factors of dropout of patients who were registered on the Changing Diabetes in Children (CDiC) program, taking a case of Uganda. Survival analysis was done by integrating competing risk of factors associated with attrition from the CDiC program. The data for the study was obtained from patients with type 1 diabetes mellitus (T1DM) registered during 2009-2018 at health units with specialized pediatric diabetes clinics from various regions in Uganda. The study considered follow-up data of 1132 children with T1DM. Our analysis revealed that the Body Mass Index (BMI) significantly influences dropout time, with patients classified as underweight showing higher hazards than those with normal BMI. Moreover, when considering competing risks, dropout hazards increased. Comparing the Cox model with the Fine and Gray model shows the latter exhibiting a smaller AIC value, which indicates its superiority in the time-to-dropout analysis. Thus, utilizing methods that integrate competing risks for CDiC dropout analysis is preferable and recommended for related studies. These findings provide actionable insights for enhancing CDiC program efficacy.
{"title":"Competing Risks Model to Evaluate Dropout Dynamics Among the Type 1 Diabetes Patients Registered with the Changing Diabetes in Children (CDiC) Program","authors":"Noora Al-Shanfari, Ronald Wesonga, Amadou Sarr, M. M. Islam","doi":"10.6000/1929-6029.2024.13.06","DOIUrl":"https://doi.org/10.6000/1929-6029.2024.13.06","url":null,"abstract":"Understanding the survival dynamics of registered patients on a disease control program is a vital issue for the success of program objectives. Dropout of registered patients from such a program is a critical issue, hindering the effectiveness of the program. This study aimed to identify the risk factors of dropout of patients who were registered on the Changing Diabetes in Children (CDiC) program, taking a case of Uganda. Survival analysis was done by integrating competing risk of factors associated with attrition from the CDiC program. The data for the study was obtained from patients with type 1 diabetes mellitus (T1DM) registered during 2009-2018 at health units with specialized pediatric diabetes clinics from various regions in Uganda. The study considered follow-up data of 1132 children with T1DM. Our analysis revealed that the Body Mass Index (BMI) significantly influences dropout time, with patients classified as underweight showing higher hazards than those with normal BMI. Moreover, when considering competing risks, dropout hazards increased. Comparing the Cox model with the Fine and Gray model shows the latter exhibiting a smaller AIC value, which indicates its superiority in the time-to-dropout analysis. Thus, utilizing methods that integrate competing risks for CDiC dropout analysis is preferable and recommended for related studies. These findings provide actionable insights for enhancing CDiC program efficacy.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":"76 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141268185","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 : 2024-05-21DOI: 10.6000/1929-6029.2024.13.05
Jinhui Ning, Shi Yin, Ruonan Tang
In order to understand the changes in college students' risk perception and occupational emotion under major public health events and to explore the influencing factors of college graduates' employment guidance, 578 college students were surveyed by questionnaire to explore the impact of the risk perception of COVID-19 pandemic on college students' occupational anxiety and its internal mechanisms, and to analyze the mediating role of psychological resilience in the impact and the moderating role of career adaptability. The results showed that: (1) there is a significant positive correlation between the risk perception of COVID-19 pandemic and occupational anxiety; there is a significant negative correlation between risk perception and psychological resilience; there is a significant negative correlation between the psychological resilience and occupational anxiety. (2) Psychological resilience plays a mediating role between risk perception and occupational anxiety. (3) Career adaptability plays a negative moderating role between the risk perception of COVID-19 pandemic and occupational anxiety. These results showed that the risk perception of COVID-19 pandemic not only directly aggravates college students' occupational anxiety, but also indirectly affects occupational anxiety through psychological resilience; Career adaptability significantly alleviats the incremental effect of the risk perception of COVID-19 pandemic on college students' occupational anxiety. This paper has positive enlightenment on how to improve the employability of college students and alleviate their employment anxiety during major public health events.
{"title":"The Impact of the Risk Perception of COVID-19 PANDEMIC on College Students' Occupational Anxiety: The Moderating Effect of Career Adaptability","authors":"Jinhui Ning, Shi Yin, Ruonan Tang","doi":"10.6000/1929-6029.2024.13.05","DOIUrl":"https://doi.org/10.6000/1929-6029.2024.13.05","url":null,"abstract":"In order to understand the changes in college students' risk perception and occupational emotion under major public health events and to explore the influencing factors of college graduates' employment guidance, 578 college students were surveyed by questionnaire to explore the impact of the risk perception of COVID-19 pandemic on college students' occupational anxiety and its internal mechanisms, and to analyze the mediating role of psychological resilience in the impact and the moderating role of career adaptability. The results showed that: (1) there is a significant positive correlation between the risk perception of COVID-19 pandemic and occupational anxiety; there is a significant negative correlation between risk perception and psychological resilience; there is a significant negative correlation between the psychological resilience and occupational anxiety. (2) Psychological resilience plays a mediating role between risk perception and occupational anxiety. (3) Career adaptability plays a negative moderating role between the risk perception of COVID-19 pandemic and occupational anxiety. These results showed that the risk perception of COVID-19 pandemic not only directly aggravates college students' occupational anxiety, but also indirectly affects occupational anxiety through psychological resilience; Career adaptability significantly alleviats the incremental effect of the risk perception of COVID-19 pandemic on college students' occupational anxiety. This paper has positive enlightenment on how to improve the employability of college students and alleviate their employment anxiety during major public health events.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":"56 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141116827","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 : 2024-03-29DOI: 10.6000/1929-6029.2024.13.04
N. Sudjai, Monthira Duangsaphon, Chandhanarat Chandhanayingyong
Predictive models can experience instabilities because of the combination of high-dimensional sparse data and multicollinearity problems. The adaptive Least Absolute Shrinkage and Selection Operator (adaptive Lasso) and adaptive elastic net were developed using the adaptive weight on penalty term. These adaptive weights are related to the power order of the estimators. Therefore, we concentrate on the power of adaptive weight on these penalty functions. This study purposed to compare the performances of the power of the adaptive Lasso and adaptive elastic net methods under high-dimensional sparse data with multicollinearity. Moreover, we compared the performances of the ridge, Lasso, elastic net, adaptive Lasso, and adaptive elastic net in terms of the mean of the predicted mean squared error (MPMSE) for the simulation study and the classification accuracy for a real-data application. The results of the simulation and the real-data application showed that the square root of the adaptive elastic net performed best on high-dimensional sparse data with multicollinearity.
{"title":"Adaptive Elastic Net on High-Dimensional Sparse Data with Multicollinearity: Application to Lipomatous Tumor Classification","authors":"N. Sudjai, Monthira Duangsaphon, Chandhanarat Chandhanayingyong","doi":"10.6000/1929-6029.2024.13.04","DOIUrl":"https://doi.org/10.6000/1929-6029.2024.13.04","url":null,"abstract":"Predictive models can experience instabilities because of the combination of high-dimensional sparse data and multicollinearity problems. The adaptive Least Absolute Shrinkage and Selection Operator (adaptive Lasso) and adaptive elastic net were developed using the adaptive weight on penalty term. These adaptive weights are related to the power order of the estimators. Therefore, we concentrate on the power of adaptive weight on these penalty functions. This study purposed to compare the performances of the power of the adaptive Lasso and adaptive elastic net methods under high-dimensional sparse data with multicollinearity. Moreover, we compared the performances of the ridge, Lasso, elastic net, adaptive Lasso, and adaptive elastic net in terms of the mean of the predicted mean squared error (MPMSE) for the simulation study and the classification accuracy for a real-data application. The results of the simulation and the real-data application showed that the square root of the adaptive elastic net performed best on high-dimensional sparse data with multicollinearity.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":"21 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140368354","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 : 2024-02-19DOI: 10.6000/1929-6029.2024.13.03
Fiorella E. Zuzunaga-Montoya, V. Vera-Ponce
Introduction: Triglyceride waist phenotypes, which combine high triglyceride levels and central obesity, have recently emerged as an area of interest in metabolic disease research. Objective: To conduct a systematic review (SR) with meta-analysis to determine if triglyceride waist phenotypes are a risk factor for T2DM. Materials: SR with meta-analysis of cohort studies. The search was conducted in four databases: PubMed/Medline, Scopus, Web of Science, and EMBASE. Participants were classified into four groups, based on triglyceride level and waist circumference (WC): 1) Normal WC and normalConduct triglyceride level (NWNT); 2) Normal WC and high triglyceride level (NWHT), 3) Altered WC and normal triglyceride level (EWNT) and 4) Altered WC and high triglyceride level (EWHT). For the meta-analysis, only studies whose measure of association were presented as Hazard ratio (HR) along with 95% confidence intervals (CI95%) were used. Results: Compared to people with NWHT, a statistically significant association was found for those with NWHT (HR: 2.65; CI95% 1.77–3.95), EWNT (HR: 2.54; CI95% 2.05–3.16) and EWHT (HR: 4.41; CI95% 2.82–6.89). Conclusions: There is a clear association between triglyceride waist phenotypes and diabetes, according to this SR and meta-analysis. Although central obesity and high triglyceride levels are associated with a higher risk of the aforementioned disease, their combination appears to pose an even greater risk. Therefore, in the clinical setting, it is important to consider this when assessing the risk of diabetes.
简介：甘油三酯腰围表型是高甘油三酯水平和中心性肥胖的结合，最近已成为代谢性疾病研究的一个关注领域。研究目的通过荟萃分析进行系统综述（SR），以确定甘油三酯腰围表型是否是 T2DM 的风险因素。材料：对队列研究进行系统综述和荟萃分析。在四个数据库中进行了检索：PubMed/Medline、Scopus、Web of Science 和 EMBASE。根据甘油三酯水平和腰围将参与者分为四组：1）正常腰围和正常甘油三酯水平（NWNT）；2）正常腰围和高甘油三酯水平（NWHT）；3）改变腰围和正常甘油三酯水平（EWNT）；4）改变腰围和高甘油三酯水平（EWHT）。在进行荟萃分析时，只使用了以危险比（HR）和 95% 置信区间（CI95%）表示相关性的研究。结果与 NWHT 患者相比，NWHT（HR：2.65；CI95% 1.77-3.95）、EWNT（HR：2.54；CI95% 2.05-3.16）和 EWHT（HR：4.41；CI95% 2.82-6.89）患者的相关性具有统计学意义。结论根据该 SR 和荟萃分析，甘油三酯腰围表型与糖尿病之间存在明显的关联。虽然中心性肥胖和高甘油三酯水平与上述疾病的高风险有关，但两者结合似乎会带来更大的风险。因此，在临床环境中，评估糖尿病风险时必须考虑到这一点。
{"title":"Triglyceridemic Waist Phenotypes as Risk Factors for Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis","authors":"Fiorella E. Zuzunaga-Montoya, V. Vera-Ponce","doi":"10.6000/1929-6029.2024.13.03","DOIUrl":"https://doi.org/10.6000/1929-6029.2024.13.03","url":null,"abstract":"Introduction: Triglyceride waist phenotypes, which combine high triglyceride levels and central obesity, have recently emerged as an area of interest in metabolic disease research. \u0000Objective: To conduct a systematic review (SR) with meta-analysis to determine if triglyceride waist phenotypes are a risk factor for T2DM. \u0000Materials: SR with meta-analysis of cohort studies. The search was conducted in four databases: PubMed/Medline, Scopus, Web of Science, and EMBASE. Participants were classified into four groups, based on triglyceride level and waist circumference (WC): 1) Normal WC and normalConduct triglyceride level (NWNT); 2) Normal WC and high triglyceride level (NWHT), 3) Altered WC and normal triglyceride level (EWNT) and 4) Altered WC and high triglyceride level (EWHT). For the meta-analysis, only studies whose measure of association were presented as Hazard ratio (HR) along with 95% confidence intervals (CI95%) were used. \u0000Results: Compared to people with NWHT, a statistically significant association was found for those with NWHT (HR: 2.65; CI95% 1.77–3.95), EWNT (HR: 2.54; CI95% 2.05–3.16) and EWHT (HR: 4.41; CI95% 2.82–6.89). \u0000Conclusions: There is a clear association between triglyceride waist phenotypes and diabetes, according to this SR and meta-analysis. Although central obesity and high triglyceride levels are associated with a higher risk of the aforementioned disease, their combination appears to pose an even greater risk. Therefore, in the clinical setting, it is important to consider this when assessing the risk of diabetes.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":"29 34","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140450226","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 : 2023-12-28DOI: 10.6000/1929-6029.2023.12.33
G. Umadevi, S. Umamaheswari
Background: The modern world has witnessed significant advancements across various industries such as food, healthcare, fashion, economics, and education. Among these sectors, healthcare is essential, given its critical role in promoting the well-being of individuals and communities. Purpose: Pharmaceuticals are a significant part of the healthcare system, as they are a crucial factor in increasing life expectancy and are often considered the heart of the health industry. Maintaining effective inventory management for drugs is essential for pharmacists to provide efficient and reliable services to their patients. Methodology: The study thoroughly analyzes the cost and consumption data for each type of demand, to develop a well-suited review and issuance policy for the apothecary. Research Limitations/Implications: The paper delves into the ABC analysis, VED analysis, and trend demand for medical stores, making it a valuable resource for pharmacy stores seeking to optimize their operations and inventory management. Originality/Value: A total of 564 drugs were included in this study, and data were collected from random strip sales between October 2022 and Mar 2023. The study's findings can be used to make informed decisions about inventory planning and classification strategies. The model utilized in this study is based on three categories of medicines: high priority, medium priority, and low priority. By analyzing the demand for these medicines, they can be categorized based on their priority within the three core groups. Pharmacists can use the model to detect shortages and take proactive measures to avoid them by analyzing demand patterns and inventory levels.
{"title":"Advancing Healthcare Service Efficacy by Optimizing Pharmaceutical Inventory Management: Leveraging ABC, VED Analysis for Trend Demand","authors":"G. Umadevi, S. Umamaheswari","doi":"10.6000/1929-6029.2023.12.33","DOIUrl":"https://doi.org/10.6000/1929-6029.2023.12.33","url":null,"abstract":"Background: The modern world has witnessed significant advancements across various industries such as food, healthcare, fashion, economics, and education. Among these sectors, healthcare is essential, given its critical role in promoting the well-being of individuals and communities. Purpose: Pharmaceuticals are a significant part of the healthcare system, as they are a crucial factor in increasing life expectancy and are often considered the heart of the health industry. Maintaining effective inventory management for drugs is essential for pharmacists to provide efficient and reliable services to their patients. Methodology: The study thoroughly analyzes the cost and consumption data for each type of demand, to develop a well-suited review and issuance policy for the apothecary. Research Limitations/Implications: The paper delves into the ABC analysis, VED analysis, and trend demand for medical stores, making it a valuable resource for pharmacy stores seeking to optimize their operations and inventory management. Originality/Value: A total of 564 drugs were included in this study, and data were collected from random strip sales between October 2022 and Mar 2023. The study's findings can be used to make informed decisions about inventory planning and classification strategies. The model utilized in this study is based on three categories of medicines: high priority, medium priority, and low priority. By analyzing the demand for these medicines, they can be categorized based on their priority within the three core groups. Pharmacists can use the model to detect shortages and take proactive measures to avoid them by analyzing demand patterns and inventory levels.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":"34 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139151472","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}
A combination of systemic antibiotics with scaling may provide an additional advantage over scaling alone in the periodontitis treatment in terms of clinical loss of attachment and change in pocket depth. The use of antibiotics should be justified by a determined need and should not replace adequate local treatment. Different treatment protocols have been proposed, but their indications and efficacy remain controversial. The study aims to analyse the literature on the use of antimicrobial agents for non-surgical periodontal therapy and to compare different protocols for prescribing antimicrobial agents. A search in MEDLINE and EBSCOhost electronic databases was conducted using relevant MeSH words. Targeted studies had to be published within the last five years. Studies were selected based on inclusion and exclusion criteria. Data from selected studies were extracted and analysed. Ten randomized clinical trials were included in the review. The general conclusions of this review indicate a positive effect of antibiotics as an adjunct to non-surgical treatment of chronic periodontitis, regardless of antimicrobial drugs used in the reviewed studies. A prospect for further research is a comparative analysis of the effectiveness of the use of antimicrobial agents and probiotics as an adjunct to the non-surgical treatment of chronic periodontitis.
{"title":"Analysis of the Effectiveness of Periodontitis Treatment Using Antimicrobial Agents","authors":"Oleksandr Korniichuk, Vasyl Humeniuk, Olha Isakova, Borys Shchepanskyi, Vasyl Antoniv","doi":"10.6000/1929-6029.2023.12.30","DOIUrl":"https://doi.org/10.6000/1929-6029.2023.12.30","url":null,"abstract":"A combination of systemic antibiotics with scaling may provide an additional advantage over scaling alone in the periodontitis treatment in terms of clinical loss of attachment and change in pocket depth. The use of antibiotics should be justified by a determined need and should not replace adequate local treatment. Different treatment protocols have been proposed, but their indications and efficacy remain controversial. The study aims to analyse the literature on the use of antimicrobial agents for non-surgical periodontal therapy and to compare different protocols for prescribing antimicrobial agents. A search in MEDLINE and EBSCOhost electronic databases was conducted using relevant MeSH words. Targeted studies had to be published within the last five years. Studies were selected based on inclusion and exclusion criteria. Data from selected studies were extracted and analysed. Ten randomized clinical trials were included in the review. The general conclusions of this review indicate a positive effect of antibiotics as an adjunct to non-surgical treatment of chronic periodontitis, regardless of antimicrobial drugs used in the reviewed studies. A prospect for further research is a comparative analysis of the effectiveness of the use of antimicrobial agents and probiotics as an adjunct to the non-surgical treatment of chronic periodontitis.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":" 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138994507","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 : 2023-12-19DOI: 10.6000/1929-6029.2023.12.29
A. A. Shokeralla, M. E. Qurashi, Reem Yousif Mekki, Mortada S. Ali
The COVID-19 pandemic has rapidly spread worldwide, resulting in substantial rates of illness and death. Gaining insight into the various factors that impact the duration of survival among individuals diagnosed with COVID-19 is of utmost importance to inform clinical practices and public health strategies This study aims to evaluate the relationship between the acuteness of symptoms and the survival time of coronavirus patients in Sudan. The Kaplan-Meier curves and log-rank test were used to determine the symptom pattern. The results of COVID-19 and Cox regression were utilized to determine the most critical symptoms affecting coronavirus patients. The log-rank test revealed that there are differences in the pattern of age and symptoms among coronavirus patients. Cox regression revealed that symptoms affect on the survival time of coronavirus patients. The Cox proportional Hazard Model shows that the hazard of age at any time increases by 116.5%, diarrhea increases by 9%, headache increases by 62.0%, fatigability increases by 13.3%, and other symptoms increase by 47.3%. This study differs from prior studies in several ways. No current study in Sudan has used survival analysis to discover the most relevant symptoms affecting survival time.
{"title":"The Effect of Symptoms on the Survival Time of Coronavirus Patients in the Sudanese Population","authors":"A. A. Shokeralla, M. E. Qurashi, Reem Yousif Mekki, Mortada S. Ali","doi":"10.6000/1929-6029.2023.12.29","DOIUrl":"https://doi.org/10.6000/1929-6029.2023.12.29","url":null,"abstract":"The COVID-19 pandemic has rapidly spread worldwide, resulting in substantial rates of illness and death. Gaining insight into the various factors that impact the duration of survival among individuals diagnosed with COVID-19 is of utmost importance to inform clinical practices and public health strategies This study aims to evaluate the relationship between the acuteness of symptoms and the survival time of coronavirus patients in Sudan. The Kaplan-Meier curves and log-rank test were used to determine the symptom pattern. The results of COVID-19 and Cox regression were utilized to determine the most critical symptoms affecting coronavirus patients. The log-rank test revealed that there are differences in the pattern of age and symptoms among coronavirus patients. Cox regression revealed that symptoms affect on the survival time of coronavirus patients. The Cox proportional Hazard Model shows that the hazard of age at any time increases by 116.5%, diarrhea increases by 9%, headache increases by 62.0%, fatigability increases by 13.3%, and other symptoms increase by 47.3%. This study differs from prior studies in several ways. No current study in Sudan has used survival analysis to discover the most relevant symptoms affecting survival time.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":" 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138959877","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 : 2023-12-14DOI: 10.6000/1929-6029.2023.12.28
Yevhenii Ishchenko, Yuliia Chystovska, Olga Vovchenko, Inesa Harkusha, Hanna Voshkolup
The emotional state of military personnel engaged in the extensive operations taking place in Ukraine is undoubtedly impacted. This especially applies to former prisoners of war (POWs) who have experienced mental and physical trauma. Optimizing their subjective well-being and life satisfaction can contribute to the development of emotional intelligence during the rehabilitation process. The purpose of the study is to identify the importance of emotional intelligence in enhancing the subjective well-being of former POWs. Methods. The following psychometric tests were used for diagnosis: EQ-Test, the Scale of subjective well-being, and Satisfaction with life scale (SWLS). During the statistical analysis, descriptive statistics and correlation analysis were utilized. Results. The study found that the subjects have low emotional intelligence (M=39.31, SD=12.85), low subjective well-being (M=50.19, SD=11.06), and an average level of life satisfaction (M= 17.05, SD=8.96). Correlation analysis established a direct relationship between emotional intelligence and subjective well-being (r=0.483, p≤0.01) and life satisfaction (r=0.723, p≤0.01). Conclusions. The study statistically confirmed that emotional intelligence is an essential factor in the process of rehabilitation of former prisoners of war, as it contributes to their attainment of subjective well-being and life satisfaction. This aids in reinstating the individual's psychological balance after captivity, enhances the medical and physical recuperation process of the body, and ensures full reintegration. Prospects. The obtained results contribute to the rehabilitation system of rehabilitation for former prisoners of war, as they elaborate a comprehensive emotional intelligence approach to ensure their subjective well-being and life satisfaction.
{"title":"The Role of Emotional Intelligence in the Rehabilitation of the Former Prisoners of War","authors":"Yevhenii Ishchenko, Yuliia Chystovska, Olga Vovchenko, Inesa Harkusha, Hanna Voshkolup","doi":"10.6000/1929-6029.2023.12.28","DOIUrl":"https://doi.org/10.6000/1929-6029.2023.12.28","url":null,"abstract":"The emotional state of military personnel engaged in the extensive operations taking place in Ukraine is undoubtedly impacted. This especially applies to former prisoners of war (POWs) who have experienced mental and physical trauma. Optimizing their subjective well-being and life satisfaction can contribute to the development of emotional intelligence during the rehabilitation process. The purpose of the study is to identify the importance of emotional intelligence in enhancing the subjective well-being of former POWs. Methods. The following psychometric tests were used for diagnosis: EQ-Test, the Scale of subjective well-being, and Satisfaction with life scale (SWLS). During the statistical analysis, descriptive statistics and correlation analysis were utilized. Results. The study found that the subjects have low emotional intelligence (M=39.31, SD=12.85), low subjective well-being (M=50.19, SD=11.06), and an average level of life satisfaction (M= 17.05, SD=8.96). Correlation analysis established a direct relationship between emotional intelligence and subjective well-being (r=0.483, p≤0.01) and life satisfaction (r=0.723, p≤0.01). Conclusions. The study statistically confirmed that emotional intelligence is an essential factor in the process of rehabilitation of former prisoners of war, as it contributes to their attainment of subjective well-being and life satisfaction. This aids in reinstating the individual's psychological balance after captivity, enhances the medical and physical recuperation process of the body, and ensures full reintegration. Prospects. The obtained results contribute to the rehabilitation system of rehabilitation for former prisoners of war, as they elaborate a comprehensive emotional intelligence approach to ensure their subjective well-being and life satisfaction.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":"234 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138975575","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 : 2023-12-13DOI: 10.6000/1929-6029.2023.12.27
Sonobe Keita, Asanao Shimokawa, Etsuo Miyaoka
Purpose: In this study, we compare the estimation methods of interval-censored data using both simulated and real data. Many past studies have used fixed sample sizes in their simulation studies. We performed the best possible simulation study. Method: The methods include Finkelstein’s method with Piecewise and Spline and imputation methods (i.e., Efron’s method in the Cox model). Results: If the interval-censored data do not overlap, the same estimation results are obtained regardless of the assignment point for the estimation of the Cox model. The overlapping data also did not significantly affect the accuracy of the estimation. On the other hand, Finkelstein’s method showed differences in estimation depending on the two estimation methods of the baseline survival function. Although it was not possible to determine which method had better power, the Spline method had a smaller absolute error than the Finkelstein method. A comparison of Cox’s and Finkelstein’s methods showed that Finkelstein’s method was superior in terms of power. Conclusion: Interval-censored data is a form of data that can be found in a variety of fields. In this study, we compared estimation methods for interval-censored data, and the usefulness of Finkelstein’s method can be seen from simulation studies.
{"title":"Comparative Study on Estimation Methods of Proportional Hazard Models for Interval-Censored Data","authors":"Sonobe Keita, Asanao Shimokawa, Etsuo Miyaoka","doi":"10.6000/1929-6029.2023.12.27","DOIUrl":"https://doi.org/10.6000/1929-6029.2023.12.27","url":null,"abstract":"Purpose: In this study, we compare the estimation methods of interval-censored data using both simulated and real data. Many past studies have used fixed sample sizes in their simulation studies. We performed the best possible simulation study. \u0000Method: The methods include Finkelstein’s method with Piecewise and Spline and imputation methods (i.e., Efron’s method in the Cox model). \u0000Results: If the interval-censored data do not overlap, the same estimation results are obtained regardless of the assignment point for the estimation of the Cox model. The overlapping data also did not significantly affect the accuracy of the estimation. On the other hand, Finkelstein’s method showed differences in estimation depending on the two estimation methods of the baseline survival function. Although it was not possible to determine which method had better power, the Spline method had a smaller absolute error than the Finkelstein method. A comparison of Cox’s and Finkelstein’s methods showed that Finkelstein’s method was superior in terms of power. \u0000Conclusion: Interval-censored data is a form of data that can be found in a variety of fields. In this study, we compared estimation methods for interval-censored data, and the usefulness of Finkelstein’s method can be seen from simulation studies.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":"110 S130","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138976880","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：