Abstract:Background
The development of statistical software in research has transformed the way scientists and researchers conduct their statistical analysis. Despite these advancements, it was not clear which statistical software is mainly used for which research design thereby creating confusion and uncertainty in choosing the right statistical tools. Therefore, this study aimed to review the trend of statistical software usage and their associated study designs in articles published in health sciences res… Show more
“…Analyses for prevalence for the three NSCH age aggregates: 3-5 years, 6-11 years and 12-17 years were performed with SPSS (version 25;IBM Corp., 2017). SPSS was utilized because it is the most widely used software for data management and statistical analysis in social sciences (Masuadi et al, 2021). These age aggregates coincide with the age ranges at which speech disorders typically become apparent or at its peak (3-5 years; Keating et al, 2001), when recovery commonly occurs (6-11 years; Ambrose et al, 1997), and when speech disorders are less likely to manifest (> 12 years;Guitar, 2014).…”
Data from the US National Survey of Children’s Health for years 2007, 2011–2012, 2016 and 2017, based on parent report, were analysed to determine the prevalence, severity and specific risk factors (bilingualism, comorbidity, age, sex) for speech disorders. The prevalence of speech disorders was lower for children who are bilingual, without comorbidity, older and females. Parents of children who are bilingual, with comorbidity and in the youngest and oldest age groups were more likely to report moderate or severe symptoms. Unlike prior reports based on smaller samples, findings indicate that bilingual children are not at higher risk for speech disorders.
“…Analyses for prevalence for the three NSCH age aggregates: 3-5 years, 6-11 years and 12-17 years were performed with SPSS (version 25;IBM Corp., 2017). SPSS was utilized because it is the most widely used software for data management and statistical analysis in social sciences (Masuadi et al, 2021). These age aggregates coincide with the age ranges at which speech disorders typically become apparent or at its peak (3-5 years; Keating et al, 2001), when recovery commonly occurs (6-11 years; Ambrose et al, 1997), and when speech disorders are less likely to manifest (> 12 years;Guitar, 2014).…”
Data from the US National Survey of Children’s Health for years 2007, 2011–2012, 2016 and 2017, based on parent report, were analysed to determine the prevalence, severity and specific risk factors (bilingualism, comorbidity, age, sex) for speech disorders. The prevalence of speech disorders was lower for children who are bilingual, without comorbidity, older and females. Parents of children who are bilingual, with comorbidity and in the youngest and oldest age groups were more likely to report moderate or severe symptoms. Unlike prior reports based on smaller samples, findings indicate that bilingual children are not at higher risk for speech disorders.
“…Second, while SAS and SPSS statistical software are commonly used for analyses of blood pressure datasets, R is also gaining popularity as evidenced by its use in multiple studies involving blood pressure data [5][6][7][8][9]. This trend in using R for BP data sets is consistent with R being one of the most popular and heavily utilized data analysis platforms [10,11], with [12] providing detailed guidelines and comparison of functionality for SAS and SPSS software users who wish to use R. Third, being free and opensource, R has an incredibly rich set of data analysis and graphics tools, with over 5,000 add-on packages available in addition to its base functionality. We are able to take advantage of this functionality in designing customized functions and visualizations.…”
Despite the world-wide prevalence of hypertension, there is a lack in open-source software for analyzing blood pressure data. The R package bp fills this gap by providing functionality for blood pressure data processing, visualization, and feature extraction. In addition to the comprehensive functionality, the package includes six sample data sets covering continuous arterial pressure data (AP), home blood pressure monitoring data (HBPM) and ambulatory blood pressure monitoring data (ABPM), making it easier for researchers to get started. The R package bp is publicly available on CRAN and at https://github.com/johnschwenck/bp.
Background
To evaluate and determine the protective role of statins in COVID-19 patients.
Methods
This is a retrospective cohort study conducted across five hospitals in India. Patients diagnosed with COVID-19 and hospitalized with existing and valid medical documentation were included.
Results
This study comprised 3252 COVID-19 patients, of whom 1048 (32.2%) were on statins, with 52.4% being males. The comorbidity prevalence of hypertension was 75%, followed by diabetes 62.51% and coronary artery disease being 47.5%. At the time of hospitalization, statin users had a higher incidence of dyspnea, cough, and fatigue (95.8, 93.3, and 92.7%). The laboratory results revealed a lower mean of WBC count (7.8 × 103/μL), D-dimer (2.4 μg/mL), and C-reactive protein (103 mg/L) among statin users. They also had lower mortality rates (17.1%), a lesser requirement for mechanical ventilation (20%), and hemodialysis (5.4%).
Conclusion
This observation study elaborates on the beneficial effects of statins in COVID-19 patients. However, the inferences from this study should be viewed with caution due to the impending effect of confounding factors on its statistical results.
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