International journal of statistics in medical research最新文献

{"title":"Dysmenorrhea Impact and Insights: A Statistical Analysis among Allied Health Professional Students in West Bengal, India","authors":"Haimanti Goswami, Debolina Kumar, Swarnava Biswas","doi":"10.6000/1929-6029.2023.12.16","DOIUrl":"https://doi.org/10.6000/1929-6029.2023.12.16","url":null,"abstract":"Introduction: Dysmenorrhea is a prevalent gynecological disorder that is characterized by the presence of unpleasant menstrual cramps. This condition has been found to have significant medical, psychological, and social implications for individuals who experience it. Although commonly seen as an inherent characteristic of a properly functioning reproductive system, it can potentially operate as a diagnostic tool for underlying illnesses. Regrettably, dialogues pertaining to dysmenorrhea are sometimes prohibited, particularly among males, within diverse cultural contexts.
 Objective: The primary objective of this study is to evaluate the level of knowledge and attitudes among allied health professions students enrolled at various universities of West Bengal (WB), India with regard to dysmenorrhea. This study aims to examine the impact of cultural variables on the knowledge and communication surrounding dysmenorrhea, specifically within conservative Indian districts.
 Methods: The study sample consisted of 494 students enrolled in allied health professions faculties at different universities of WB. Data collection took place from September 2021 to February 2023. A meticulously designed survey was employed to gather data pertaining to the various sources of knowledge, levels of awareness, attitudes toward discussing dysmenorrhea, and willingness to engage in conversations about menstruation with prospective females. Data interpretation involved the utilization of statistical analysis techniques, such as descriptive statistics and correlation analysis.
 Results: In terms of demographic composition, the study consisted of 86% female participants and 14% male participants. The mean knowledge scores of females (14.41 ± 3.14) were found to be considerably higher compared to males (13.75 ± 4.56). The primary sources of information were the internet (58.3%), maternity figures (48.8%), and educational institutions (46.2%). An observed positive connection (r = 0.244) was found between age and knowledge levels. The participants exhibited a general hesitancy to openly engage in conversations on menstrual symptoms, however, they demonstrated a readiness to engage in discussions about menstruation with their prospective daughters.
 Conclusions: The present study brings attention to the gender discrepancies in knowledge levels pertaining to dysmenorrhea among allied health professions university students of WB. Additionally, it emphasizes the influence of cultural norms on knowledge acquisition and communication around this topic. The statement underscores the need for destigmatization initiatives, comprehensive teaching on menstruation health, and fostering open communication within academic institutions and the broader community. The aforementioned findings offer valuable insights that can inform future educational endeavors and healthcare procedures within this particular subject.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136153772","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}

{"title":"Diagnostic Accuracy of Anthropometric Markers of Obesity for Prediabetes: A Systematic Review and Meta-Analysis","authors":"Víctor Juan Vera-Ponce, Fiorella E. Zuzunaga-Montoya, Joan A. Loayza-Castro, Andrea P. Ramirez-Ortega, Jenny Raquel Torres-Malca, Rosa A. García-Lara, Cori Raquel Iturregui Paucar, Mario J. Valladares-Garrido, Jhony A. De La Cruz-Vargas","doi":"10.6000/1929-6029.2023.12.15","DOIUrl":"https://doi.org/10.6000/1929-6029.2023.12.15","url":null,"abstract":"Introduction: Prediabetes is a significant public health concern due to its high risk of progressing to diabetes. Anthropometric measures of obesity, including body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) have been demonstrated as key risk factors in the development of prediabetes. However, there is a lack of clarity on the diagnostic accuracy and cut-off points of these measures.
 Objective: To determine the diagnostic accuracy of these anthropometric measures for their most effective use in identifying prediabetes.
 Methodology: A systematic review (SR) with metanalysis of observational studies was carried out. The search was conducted in four databases: Pubmed/Medline, SCOPUS, Web of Science, and EMBASE. For the meta-analysis, sensitivity and specificity, together with their 95% confidence intervals (CI 95%) were calculated.
 Results: Among all the manuscripts chosen for review, we had four cross-sectional studies, and three were classified as cohort studies.
 The forest plots showed the combined sensitivity and specificity for both cross-sectional and cohort studies. For cross-sectional studies, the values were as follows: BMI had a sensitivity of 0.63 and specificity of 0.56, WC had a sensitivity of 0.59 and specificity of 0.58, and WHtR had a sensitivity of 0.63 and specificity of 0.73. In the cohort studies, the combined sensitivity and specificity were: BMI at 0.70 and 0.45, WC at 0.68 and 0.56, and WHtR at 0.68 and 0.56, respectively. All values are provided with 95% confidence intervals.
 Conclusions: This systematic review and meta-analysis evaluated the diagnostic accuracy of BMI, WC, and WHtR in identifying prediabetes. The results showed variations in sensitivity and specificity, with WHtR having the highest specificity in cross-sectional studies and BMI having improved sensitivity in cohort studies.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135060695","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}

{"title":"Unveiling the Dynamics of the Omicron Variant: Prevalence, Risk Factors, and Vaccination Efficacy during the Third Wave of Covid-19 in Indonesia's Gowa Regency","authors":"Ridwan Amiruddin, Indra Dwinata, Rosa Devitha Ayu, Nurhaedar Jafar, Gaffar Gaffar, Syaharuddin Kasim, Muh Firdaus Kasim, Adriana Syarifah","doi":"10.6000/1929-6029.2023.12.14","DOIUrl":"https://doi.org/10.6000/1929-6029.2023.12.14","url":null,"abstract":"Introduction: In February-March 2022, the B.1.1.529 (Omicron) variant of SARS-CoV-2 became the cause of the third wave of COVID-19 in Indonesia. However, data on the prevalence of the effects of the third wave of the COVID-19 pandemic are still limited, especially in regencies/cities in Indonesia. Gowa Regency is one of the most affected areas by COVID-19 in South Sulawesi.&#x0D; Objective: Ascertaining risk factors associated with infection and evaluating the effectiveness of vaccination programs in Gowa Regency.&#x0D; Methods: In March 2022, venous blood specimens were taken from 859 randomly selected samples in Gowa Regency to determine the presence of antibodies to SARS-CoV-2 by examining chemiluminescent microparticle immunoassay (CMIA) specimens. Information on demographics, previous infection history, symptoms, comorbid diseases, and vacancy status was collected through interviews. Data analysis was conducted using descriptive, bivariate tests with chi-square and One-way ANOVA, and multivariate tests using logistic regression.&#x0D; Results: The overall prevalence of anti-SARS-CoV-2-IgG was 98.7%. The results showed that the prevalence of SARS-CoV-2 antibodies was not significantly different in terms of sex (P=0.306), age group (P=0.190), education (P=0.749), and occupation (P=0.685), history of COVID-19 symptoms (P=0.108), history of confirmation of COVID-19 (P=0.352), and history of comorbid diseases (P=0.477). However, this study showed that the prevalence of SARS-CoV-2 antibodies differed significantly among the fully vaccinated and incomplete groups (P <0.001).&#x0D; Conclusion: There was a significant difference between the antibody status of respondents who had been fully vaccinated (at least two doses) and respondents who had not completed the vaccination.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135154376","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}

{"title":"Relaxed Adaptive Lasso for Classification on High-Dimensional Sparse Data with Multicollinearity","authors":"Narumol Sudjai, Monthira Duangsaphon, Chandhanarat Chandhanayingyong","doi":"10.6000/1929-6029.2023.12.13","DOIUrl":"https://doi.org/10.6000/1929-6029.2023.12.13","url":null,"abstract":"High-dimensional sparse data with multicollinearity is frequently found in medical data. This problem can lead to poor predictive accuracy when applied to a new data set. The Least Absolute Shrinkage and Selection Operator (Lasso) is a popular machine-learning algorithm for variable selection and parameter estimation. Additionally, the adaptive Lasso method was developed using the adaptive weight on the l1-norm penalty. This adaptive weight is related to the power order of the estimators. Thus, we focus on 1) the power of adaptive weight on the penalty function, and 2) the two-stage variable selection method. This study aimed to propose the relaxed adaptive Lasso sparse logistic regression. Moreover, we compared the performances of the different penalty functions by using the mean of the predicted mean squared error (MPMSE) for the simulation study and the accuracy of classification for a real-data application. The results showed that the proposed method performed best on high-dimensional sparse data with multicollinearity. Along with, for classifier with the support vector machine, this proposed method was also the best option for the variable selection process.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135258502","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}

{"title":"Effect of Vaccination Status on SARS-CoV-2 Antibody Levels in Gowa Regency Community, Indonesia","authors":"A. A. Mulyani Ilmy, Ridwan Ridwan, A. Zulkifli, A. A. Arsin, Aminuddin Syam, A. Seweng","doi":"10.6000/1929-6029.2023.12.11","DOIUrl":"https://doi.org/10.6000/1929-6029.2023.12.11","url":null,"abstract":"Background: COVID-19 is a disease caused by infection with SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2). One of the body's immune responses to infection is to produce antibodies. Acute SARS-CoV-2 infection initiates cellular and humoral immune responses. The humoral immune response specifically generates antibodies against virus-specific antigens. Several factors influence the immune response, one of which is vaccination status. Therefore, this study aimed to determine and analyze the effect of vaccination status on SARS-CoV-2 antibody levels. \u0000Methods: An analytical observational study with a cross-sectional design involving 815 samples was conducted. The proportional random sampling technique was employed based on data obtained from the Seroepidemiology Survey. Data analysis was conducted using the STATA version 14.0 program with the Independent T-Test, Mann Whitney test, Kruskal Wallis test, and Multiple logistic regression. \u0000Results: The results showed that there was a significant relationship between the determinant variables of SARS-CoV-2 antibody levels based on gender (p=0.012), vaccination status (p=0.000), and COVID-19 infection history (p=0.000). Furthermore, the multivariate analysis indicated that vaccination status was the variable most associated with SARS-CoV-2 antibody levels (p = 0.010). The OR value = 0.16 < 1 and 95%CI (0.04-0.65) which did not contain a value of 1 suggested vaccination status to be a significant protective factor associated with SARS-CoV-2 antibody levels, with a probability value of 94.1%. \u0000Conclusion: The most influential variable on SARS-CoV-2 antibody levels in the Gowa Regency was vaccination status. Moreover, none of the variables measured were identified as confounding factors or showed interaction effects.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41464097","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}

{"title":"Elevated Lactate as a Mortality Factor in Poly Traumatised Patients: A Systematic Review and Meta-Analysis","authors":"Bryam Martin Gómez Carrasco, O. Carrasco, Gerardo Gomez, R. Espinoza-Rojas, Cori Raquel Iturregui-Paucar, Luisa Erika Milagros Vásquez-Romero, Fiorella E. Zuzunaga-Montoya, V. Vera-Ponce, J. D. L. Cruz-Vargas","doi":"10.6000/1929-6029.2023.12.10","DOIUrl":"https://doi.org/10.6000/1929-6029.2023.12.10","url":null,"abstract":"Introduction: According to global health estimates from the World Health Organization (WHO) injuries represent 8% of world deaths. There are systematic reviews that relate lactate and mortality in trauma patients but do not focus on multiple trauma patients. \u0000Objective: To determine if elevated lactate is a mortality factor in multiple trauma patients. \u0000Methodology: A systematic review and meta-analysis of observational studies were carried out. The search was carried out in 4 databases: PUBMED, Embase, Scopus, and Web of Science. \u0000Data were pooled using a random effects model and summary statistics were calculated using odds ratios (ORs) with their respective 95% confidence intervals (95% CI). \u0000Results: Nine studies were included (n=5302). A significant association was found between elevated admission lactate with mortality (OR: 1.80; 95% CI 1.11 to 2.91) and 72-hour mortality (OR: 1.24; 95% CI 1.02 to 1.50). No statistically significant association was found for the analysis of elevated admission lactate and 28-day mortality (OR: 1.24; 95% CI 1.02 to 1.50). Finally, elevated admission lactate is associated with mortality regardless of time (OR: 1.34; 95% CI 1.19 to 1.50). \u0000Conclusion: Elevated admission lactate is associated with mortality and 72-hour mortality in multiple trauma patients. No significant association was found between elevated admission lactate and 30-day mortality. Elevated intake of lactate is associated with mortality independent of time.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46193106","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}

{"title":"Application of Dengue Hemorrhagic Fever Information System (SI-DBD) for Recording and Reporting of DHF Suspects at Kota Public Health Centers in Bantaeng Regency","authors":"Irsal Irsal, I. Maria, A. Arsin, A. Zulkifli, Sukri Palutturi, H. Amqam, Mujahidah Basarang","doi":"10.6000/1929-6029.2023.12.09","DOIUrl":"https://doi.org/10.6000/1929-6029.2023.12.09","url":null,"abstract":"Background: Dengue fever is the most common viral infection transmitted by Aedes mosquitoes. This disease puts more than 3.9 billion people from 129 countries at risk of contracting dengue fever and causes 40,000 deaths each year. This study aims to analyze the effectiveness of SI-DBD applications for finding, recording, and reporting suspected cases of dengue. \u0000Methods: This type of research is a quasi-experiment with The Nonrandomized Control Group Pretest Posttest Design, namely there were two treatment groups (SI-DBD application users) at RT 02 and (a control group) at RT. 01, with a sample of 112 households (1:1 ratio). Data was collected through interviews and reports of suspected dengue fever. \u0000Results: There was an increase in reporting of suspected dengue after using the Application of the Dengue Hemorrhagic Fever Information System (SI-DBD) (233.33%). Statistical test results in the intervention group's simplicity, acceptability, data quality, and timeliness had p < 0.000, meaning that there were significant differences in all variables studied in the reporting system using the SI-DBD application. In the control group, statistical tests showed that the acceptability variable had a p < 0.0001, meaning that there were significant differences in the acceptability variable in the use of the manual system before and during the study while the variables were for simplicity, data quality, and timeliness had a p > 0.1797, 0.0833, 0.5567 means that there is no significant difference in these variables in the manual reporting system. \u0000Conclusion: SI-DBD application is effective for recording and reporting suspected dengue.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48662709","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}

{"title":"Factors Associated with Knowledge, Attitudes, and Practices about Tuberculosis in Peruvians","authors":"Joan A. Loayza-Castro, Luisa Erika Milagros Vásquez-Romero, Verónica Eliana Rubín-de-Celis Massa, Cori Raquel Iturregui-Paucar, Norka R. Guillén-Ponce, Sonia Indacochea-Cáceda, J. R. Torres-Malca","doi":"10.6000/1929-6029.2023.12.08","DOIUrl":"https://doi.org/10.6000/1929-6029.2023.12.08","url":null,"abstract":"Objective: To determine the factors associated with knowledge, attitudes, and practices (KAPs) about tuberculosis (TB) in the Peruvian population. \u0000Materials and Methods: A cross-sectional, analytical study was carried out by conducting a virtual survey. The instrument that was used consisted of 4 sections: sociodemographic variables (9 questions), knowledge (23 questions), attitudes (9 questions), and practices (8 questions) about tuberculosis. Univariate and bivariate analyses and the Poisson regression model with robust variance were used to obtain crude and adjusted prevalence ratios (PRa). \u0000Results: The sample consisted of 1284 participants. Regarding knowledge, attitudes, and practices about TB, an insufficient level was found in 47.97%, 50.3%, and 54.36% of the cases, respectively. The variables that increased the probability of having sufficient knowledge were sex, grade, area, family history, and history of having TB. While only the area and both antecedents were for attitudes. Finally, the age, degree, and history of TB were for the practices. \u0000Conclusion: There are insufficient KAPs in around half of the population studied. In addition, there are differences according to the epidemiological characteristics, such as sex, age, academic degree, area, and family history of TB and having had this disease. Therefore, the importance of research in this field should be emphasized in the face of a disease that is related to the differences in the levels of these variables between different strata of the general population.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44917518","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}

{"title":"Impact of Machine Learning and Prediction Models in the Diagnosis of Oral Health Conditions","authors":"N. Panda, Soumya subhashree Satapathy, S. Bhuyan, Ruchi Bhuyan","doi":"10.6000/1929-6029.2023.12.07","DOIUrl":"https://doi.org/10.6000/1929-6029.2023.12.07","url":null,"abstract":"Introduction: Recent developments in data science and the employment of machine learning algorithms (ML) have revolutionized health sciences in the prediction of diseases using laboratory data. Oral diseases are observed in all age groups and are estimated to affect about a 3.5billion people as per WHO 2022 statistics. Using the existing diagnostic data and taking advantage of ML and prediction models would benefit developing a prediction model for diagnosing oral diseases. Hence, it is quite essential to understand the basic terminologies used in the prediction model. \u0000Methods: We retrieve various research papers using Scopus, PubMed, and google scholar databases, where prediction models were used in dentistry. The idea of this review is to explore current models, model validation, discrimination, calibration, and bootstrapping methods used in prediction models for oral diseases. \u0000Results: The current advancement of ML techniques plays a significant task in the diagnosis and prognosis of oral diseases. \u0000Conclusion: The use of prediction models using ML techniques can improve the accuracy of the treatment methods in oral health. This article aims to provide the required framework, data sets, and methodology to build ML and prediction models for oral diseases.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48855051","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}

{"title":"Obstructive Sleep Apnea Syndrome Associated with Atrial Fibrillation in Adult Patients: A Systematic Review and Meta-Analysis","authors":"O. Carrasco, Bryam Martin Gómez Carrasco, Gerardo Gomez, R. Espinoza-Rojas, Eder Jesús Orihuela-Manrique, Rosa A. García-Lara, Joan A. Loayza-Castro, Gianella Zulema Zeñas-Trujillo, V. Vera-Ponce, J. D. L. Cruz-Vargas","doi":"10.6000/1929-6029.2023.12.06","DOIUrl":"https://doi.org/10.6000/1929-6029.2023.12.06","url":null,"abstract":"Introduction: Obstructive sleep apnea syndrome (OSAHS) is a common disease. However, its diagnosis and treatment are underestimated. The main reason is that the upper airway completely or partially collapses, leading to repeated sleep apnea episodes. In addition, atrial fibrillation(AF) is the most frequent arrhythmia in the world, these two entities may be related and are important public health problems. \u0000Objective: To determine the association between obstructive sleep apnea syndrome and atrial fibrillation in adult patients. \u0000Materials and Methods: A systematic review and meta-analysis of observational studies that associate obstructive sleep apnea syndrome and atrial fibrillation was carried out. The search was carried out in 4 databases: PUBMED, Web of Science, Embase, Scopus. \u0000Results: Eight studies were included (n=562241). A significant association was found between obstructive sleep apnea and atrial fibrillation (OR: 1.38; 95% CI 1.24 to 1.54). In addition, low heterogeneity was found between studies I2: 13%. \u0000Conclusions: It was found that obstructive sleep apnea and atrial fibrillation are significantly associated.","PeriodicalId":73480,"journal":{"name":"International journal of statistics in medical research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45207740","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}