JMIRx med最新文献

{"title":"Peer Review of \"Raw, Unadulterated African Honey for Ulcer Healing in Leprosy: Protocol for the Honey Experiment on Leprosy Ulcer (HELP) Randomized Controlled Trial\".","authors":"","doi":"10.2196/57310","DOIUrl":"10.2196/57310","url":null,"abstract":"","PeriodicalId":73558,"journal":{"name":"JMIRx med","volume":"5 ","pages":"e57310"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10986331/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140337907","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}

{"title":"COVID-19 National Football League (NFL) Injury Analysis: Follow-Up Study.","authors":"Troy B Puga, Joshua Schafer, Grace Thiel, Nicholas Scigliano, Tiffany Ruan, Andres Toledo, Prince N Agbedanu, Kevin Treffer","doi":"10.2196/45688","DOIUrl":"10.2196/45688","url":null,"abstract":"<p><strong>Background: </strong>In 2020, COVID-19 spread across the world and brought normal daily life to a halt, causing the shutdown of nearly everything in order to prevent its spread. The National Football League (NFL) similarly experienced shutdowns and the resulting effects, leaving athletes unable to train in some of the most advanced facilities with many of the best trainers in the world. A previous study, titled COVID-19 Return to Sport: NFL Injury Prevalence Analysis, determined that there was increased injury prevalence during the 2020 season, likely due to decreased physiological adaptations within athletes' bodies as a result of facility shutdowns. Understanding injury epidemiology is vital to the prevention of injuries and the development of return-to-play protocols.</p><p><strong>Objective: </strong>The objective of this study is to perform a follow-up study to COVID-19 Return to Sport: NFL Injury Prevalence Analysis in order to examine the longitudinal effects of the COVID-19 pandemic on injury epidemiology. This study examines if there was a recovery to baseline levels of injuries or if there are still lingering effects from the COVID-19 pandemic-induced spike in injuries.</p><p><strong>Methods: </strong>To determine if there was change in the number of injuries for each season, injury tallies collected from the 17-week-long 2018, 2019, and 2020 NFL regular seasons were compared with those from the 18-week-long 2021 and 2022 NFL regular seasons. A Kruskall-Wallis test with post hoc Dunn analysis was conducted to compare the rate of injuries per team per week between each of the 2018, 2019, 2020, 2021, and 2022 regular seasons.</p><p><strong>Results: </strong>The Kruskall-Wallis test revealed an H statistic of 32.61 (P<.001) for the comparison of the injury rates across the 5 seasons. The post hoc Dunn analysis showed that 2020 had a statistically significant difference when compared with each of the 2018 (P<.001), 2019 (P=.04), 2021 (P=.02), and 2022 (P=.048) seasons. The 2019 season showed no statistical significance when compared with the 2021 (P=.23) and 2022 (P=.13) seasons.</p><p><strong>Conclusions: </strong>The results of this follow-up study, combined with the previous study, show that extended training interruptions stemming from COVID-19 in 2020 induced detraining and led to increased injuries. Additionally, the results of this study show that retraining can occur, resulting in the development of injury protective factors, as injury rates returned to baseline levels after 2020. This is the first large-scale and long-term opportunity to demonstrate the effects of these principles and how they are important to understanding injury epidemiology.</p>","PeriodicalId":73558,"journal":{"name":"JMIRx med","volume":"5 ","pages":"e45688"},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10985286/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140095296","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}

{"title":"Predicting Waist Circumference From a Single Computed Tomography Image Using a Mobile App (Measure It): Development and Evaluation Study.","authors":"Abderrahmen Masmoudi, Amine Zouari, Ahmed Bouzid, Kais Fourati, Soulaimen Baklouti, Mohamed Ben Amar, Salah Boujelben","doi":"10.2196/38852","DOIUrl":"10.2196/38852","url":null,"abstract":"<p><strong>Background: </strong>Despite the existing evidence that waist circumference (WC) provides independent and additive information to BMI when predicting morbidity and mortality, this measurement is not routinely obtained in clinical practice. Using computed tomography (CT) scan images, mobile health (mHealth) has the potential to make this abdominal obesity parameter easily available even in retrospective studies.</p><p><strong>Objective: </strong>This study aimed to develop a mobile app as a tool for facilitating the measurement of WC based on a cross-sectional CT image.</p><p><strong>Methods: </strong>The development process included three stages: determination of the principles of WC measurement from CT images, app prototype design, and validation. We performed a preliminary validity study in which we compared WC measurements obtained both by the conventional method using a tape measurement in a standing position and by the mobile app using the last abdominal CT slice not showing the iliac bone. Pearson correlation, student t tests, and Q-Q and Bland-Altman plots were used for statistical analysis. Moreover, to perform a diagnostic test evaluation, we also analyzed the accuracy of the app in detecting abdominal obesity.</p><p><strong>Results: </strong>We developed a prototype of the app Measure It, which is capable of estimating WC from a single cross-sectional CT image. We used an estimation based on an ellipse formula adjusted to the gender of the patient. The validity study included 20 patients (10 men and 10 women). There was a good correlation between both measurements (Pearson R=0.906). The student t test showed no significant differences between the two measurements (P=.98). Both the Q-Q dispersion plot and Bland-Altman analysis graphs showed good overlap with some dispersion of extreme values. The diagnostic test evaluation showed an accuracy of 83% when using the mobile app to detect abdominal obesity.</p><p><strong>Conclusions: </strong>This app is a simple and accessible mHealth tool to routinely measure WC as a valuable obesity indicator in clinical and research practice. A usability and validity evaluation among medical teams will be the next step before its use in clinical trials and multicentric studies.</p>","PeriodicalId":73558,"journal":{"name":"JMIRx med","volume":"4 ","pages":"e38852"},"PeriodicalIF":0.0,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10958995/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139486678","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}

{"title":"Peer Review of “Predicting Waist Circumference From a Single Computed Tomography Image Using a Mobile App (Measure It): Development and Evaluation Study”","authors":"M. S. Arefin","doi":"10.2196/54012","DOIUrl":"https://doi.org/10.2196/54012","url":null,"abstract":"Waist Circumference From a Single Computed Tomography Image Using a Mobile App (Measure It): Development and Evaluation Study","PeriodicalId":73558,"journal":{"name":"JMIRx med","volume":"59 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139009604","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":"Authors’ Response to Peer Reviews of “Predicting Waist Circumference From a Single Computed Tomography Image Using a Mobile App (Measure It): Development and Evaluation Study”","authors":"Abderrahmen Masmoudi, A. Zouari, Ahmed Bouzid, Kais Fourati, Soulaimen Baklouti, Mohamed Ben Amar, S. Boujelben","doi":"10.2196/53817","DOIUrl":"https://doi.org/10.2196/53817","url":null,"abstract":"","PeriodicalId":73558,"journal":{"name":"JMIRx med","volume":"47 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139006983","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":"Peer Review of “Seroprevalence of SARS-CoV-2 in Niger State: Pilot Cross-Sectional Study”","authors":"Nadège Bourgeois-Nicolaos","doi":"10.2196/50391","DOIUrl":"https://doi.org/10.2196/50391","url":null,"abstract":"","PeriodicalId":73558,"journal":{"name":"JMIRx med","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135945114","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":"Seroprevalence of SARS-CoV-2 in Niger State: Pilot Cross-Sectional Study.","authors":"Hussaini Majiya,&nbsp;Mohammed Aliyu-Paiko,&nbsp;Vincent Tochukwu Balogu,&nbsp;Dickson Achimugu Musa,&nbsp;Ibrahim Maikudi Salihu,&nbsp;Abdullahi Abubakar Kawu,&nbsp;Ishaku Yakubu Bashir,&nbsp;Aishat Rabiu Sani,&nbsp;John Baba,&nbsp;Amina Tako Muhammad,&nbsp;Fatimah Ladidi Jibril,&nbsp;Ezekiel Bala,&nbsp;Nuhu George Obaje,&nbsp;Yahaya Badeggi Aliyu,&nbsp;Ramatu Gogo Muhammad,&nbsp;Hadiza Mohammed,&nbsp;Usman Naji Gimba,&nbsp;Abduljelili Uthman,&nbsp;Hadiza Muhammad Liman,&nbsp;Sule Alfa Alhaji,&nbsp;Joseph Kolo James,&nbsp;Muhammad Muhammad Makusidi,&nbsp;Mohammed Danasabe Isah,&nbsp;Ibrahim Abdullahi,&nbsp;Umar Ndagi,&nbsp;Bala Waziri,&nbsp;Chindo Ibrahim Bisallah,&nbsp;Naomi John Dadi-Mamud,&nbsp;Kolo Ibrahim,&nbsp;Abu Kasim Adamu","doi":"10.2196/29587","DOIUrl":"10.2196/29587","url":null,"abstract":"<p><strong>Background: </strong>The COVID-19 pandemic caused by SARS-CoV-2 is causing ongoing human and socioeconomic losses.</p><p><strong>Objective: </strong>To know how far the virus has spread in Niger State, Nigeria, a pilot study was carried out to determine the SARS-CoV-2 seroprevalence, patterns, dynamics, and risk factors in the state.</p><p><strong>Methods: </strong>A cross-sectional study design and clustered, stratified random sampling strategy were used to select 185 test participants across the state. SARS-CoV-2 IgG and IgM rapid test kits (colloidal gold immunochromatography lateral flow system) were used to determine the presence or absence of antibodies to the virus in the blood of sampled participants across Niger State from June 26 to 30, 2020. The test kits were validated using the blood samples of some of the Nigeria Center for Disease Control-confirmed positive and negative COVID-19 cases in the state. SARS-CoV-2 IgG and IgM test results were entered into the Epi Info questionnaire administered simultaneously with each test. Epi Info was then used to calculate the arithmetic mean and percentage, odds ratio, χ2 statistic, and regression at a 95% CI of the data generated.</p><p><strong>Results: </strong>The seroprevalence of SARS-CoV-2 in Niger State was found to be 25.4% (47/185) and 2.2% (4/185) for the positive IgG and IgM results, respectively. Seroprevalence among age groups, genders, and occupations varied widely. The COVID-19 asymptomatic rate in the state was found to be 46.8% (22/47). The risk analyses showed that the chances of infection are almost the same for both urban and rural dwellers in the state. However, health care workers, those who experienced flulike symptoms, and those who had contact with a person who traveled out of Nigeria in the last 6 months (February to June 2020) were at double the risk of being infected with the virus. More than half (101/185, 54.6%) of the participants in this study did not practice social distancing at any time since the pandemic started. Participants' knowledge, attitudes, and practices regarding COVID-19 are also discussed.</p><p><strong>Conclusions: </strong>The observed Niger State SARS-CoV-2 seroprevalence and infection patterns meansuggest that the virus has widely spread, far more SARS-CoV-2 infections have occurred than the reported cases, and there is a high asymptomatic COVID-19 rate across the state.</p>","PeriodicalId":73558,"journal":{"name":"JMIRx med","volume":"4 ","pages":"e29587"},"PeriodicalIF":0.0,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10595504/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49685815","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}

{"title":"Peer Review of “Seroprevalence of SARS-CoV-2 in Niger State: Pilot Cross-Sectional Study”","authors":"Ari Samaranayaka","doi":"10.2196/49866","DOIUrl":"https://doi.org/10.2196/49866","url":null,"abstract":"","PeriodicalId":73558,"journal":{"name":"JMIRx med","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135945113","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":"Authors’ Response to Peer Reviews of “Seroprevalence of SARS-CoV-2 in Niger State: Pilot Cross-Sectional Study”","authors":"Hussaini Majiya, Mohammed Aliyu-Paiko, Vincent Tochukwu Balogu, Dickson Achimugu Musa, Ibrahim Maikudi Salihu, Abdullahi Abubakar Kawu, Ishaku Yakubu Bashir, Aishat Rabiu Sani, John Baba, Amina Tako Muhammad, Fatimah Ladidi Jibril, Ezekiel Bala, Nuhu George Obaje, Yahaya Badeggi Aliyu, Ramatu Gogo Muhammad, Hadiza Mohammed, Usman Naji Gimba, Abduljelili Uthman, Hadiza Muhammad Liman, Sule Alfa Alhaji, Joseph Kolo James, Muhammad Muhammad Makusidi, Mohammed Danasabe Isah, Ibrahim Abdullahi, Umar Ndagi, Bala Waziri, Chindo Ibrahim Bisallah, Naomi John Dadi-Mamud, Kolo Ibrahim, Abu Kasim Adamu","doi":"10.2196/50515","DOIUrl":"https://doi.org/10.2196/50515","url":null,"abstract":"","PeriodicalId":73558,"journal":{"name":"JMIRx med","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136037650","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":"Peer Review of “Seroprevalence of SARS-CoV-2 in Niger State: Pilot Cross-Sectional Study”","authors":"­ Anonymous","doi":"10.2196/50501","DOIUrl":"https://doi.org/10.2196/50501","url":null,"abstract":"","PeriodicalId":73558,"journal":{"name":"JMIRx med","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135945115","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}