Statistical Software Application Research Articles

PREVALENCE AND MOLECULAR CHARACTERIZATION OF ROTAVIRUS IN MEAT CUTS, AND MEAT HANDLERS IN SELECTED ABATTOIRS IN NAIROBI, KENYA

In Kenya, food screening exercises mostly applies to bacterial and parasitic agents, with enteric viral detection neglected. This study aimed to determine the prevalence and molecular characterization of rotavirus in beef/pork cuts and beef/pork handlers in 4 selected abattoirs in Nairobi. Rotavirus was preferred because of its high prevalence rates and its ability to cause pathophysiologic infective gastroenteritis in humans. It has diverse strains characterized as P and G genotypes based on the VP7 and VP4 proteins, respectively. This cross-section study involved the collection of a total of 467, (165) beef/pork cuts and (302) handlers fecal samples. Collected samples wereprepared before rotavirus identification. Prepared meat and stool suspensions were subjected to direct RNA extraction and EIA detection respectively. All the stool suspensionsand RNA extracted meat suspensions subjected to EIA and Two step RT-PCR were all non-reactive respectively. Therefore, there was no VP4 and VP7 genotyping for characterizationpurposes on confirmed primary PCR products. Eppicollect5 was also used to collect and store the descriptive data of study participants, and the analysis conducted using Power BI statistical software application. The studys findings, indicating no human rotaviral infections in meat cuts, enhance public health by reassuring consumers, guiding regulatory policies, emphasizing the need for ongoing surveillance, directing resources to pressing concerns, supporting safe food handling campaigns, establishing baseline data for future assessments, and encouraging best practices in both formal and informal markets.

Factors associated with blood donation among college and university students in Wuhan, China: structural equation model

BackgroundCollege and university students were an important population group of blood donors, especially in the current situation of tight blood supply. This study aimed to investigate the current status and determinants of blood donation among this population group in Wuhan using a structural equation model.MethodsWe conducted a cross-sectional study involving 12 colleges and universities in Wuhan, China, including 5168 students. Sociodemographic characteristics, health status, knowledge about blood donation, and attitude toward blood donation were treated as latent variables, with blood donation as the observed variable. Confirmatory factor analysis was conducted using the Mplus 8.0 statistical software application, followed by the establishment of a structural equation model to assess the relationships that exist between these variables.ResultsThe overall blood donation rate among college and university students was 24.71%. The established model indicated that sociodemographic characteristics, health status, knowledge about blood donation, and attitude toward blood donation showed significant positive effects (0.135, 0.056, 0.321, and 0.389, respectively) on blood donation, among them, the direct effects were 0.076, -0.110, 0.143, and 0.389, respectively (P < 0.01). Additionally, sociodemographic characteristics, health status, and knowledge about blood donation had indirectly affected blood donation through the mediating effect of attitude towards blood donation. Their effects on attitude towards blood donation were 0.099, 0.243, and 0.468, respectively. (P < 0.01). The model could explain explained 22.22% of the variance in blood donation behavior among college and university students in Wuhan.ConclusionBlood donation among college and university students in Wuhan was associated with sociodemographic characteristics, health status, knowledge about blood donation, and attitude towards blood donation, with attitude being the primary influencing factor. Tailored recruitment strategies for blood donation among students should prioritize initiatives aimed at enhancing knowledge about blood donation and fostering positive attitudes toward it.

Digital application for drug product potency target evaluation in biopharmaceutical manufacturing.

Biopharmaceutical manufacturing entails a series of highly regulated steps. The manufacturing of safe and efficacious drug product (DP) requires testing of critical quality attributes (CQAs) against specification limits. DP potency concentration, which measures the dosage strength of a particular DP, is a CQA of great interest. In order to minimize the DP potency out-of-specification (OOS) risk, sterile fill finish (SFF) process adjustments may be needed. Varying the potency targets can be one such process adjustment. To facilitate such evaluation, data acquisition and statistical calculations are required. Regularly conducting the OOS risk assessment manually using commercial statistical software can be tedious, error-prone, and impractical, especially when several alternate potency targets are under consideration. In this work, the development of a novel framework for OOS risk assessment and deployment of cloud-based statistical software application to facilitate the risk assessment are presented. This application is intended to streamline the assessment of alternate potency targets for DP in biologics manufacturing. The major aspects of this potency targeting application development are presented in detail. Specifically, data sources, pipeline, application architecture, back-end and front-end development as well as application verification are discussed. Finally, several use cases are presented to highlight the application's utility in biologics manufacturing.

Trust Strengthening Models for Amplifying Generation Z's Interest in Purchasing Sariayu Martha Tilaar's Green Products in Alignment with Sustainable Development

Objective: The purpose of this study is to investigate how eco-labels, green advertising, and knowledge about green products impact trust in environmentally friendly products and how trust ultimately influences the intention to purchase green products. Theoretical Framework: This study delves into the theoretical framework of green marketing in the cosmetics sector of Indonesia. It focuses on two dependent variables: green purchase intention and trust. The study also explores how the eco-label, green advertising, and green product knowledge variables influence green trust, which impacts green purchase intention. Method: For this study, a quantitative approach was taken using the statistical software application tool SmartPLS 3.0. The population analyzed with SEM consisted of Generation Z individuals aged 12 to 26 who had purchased Sariayu's clean beauty green product. A sample size of 385 respondents was used to represent the population. Result and Conclusion: Knowing eco-labels and green products significantly impact green trust, whereas green advertising does not. The level of green trust influences the intention to purchase green products. Originality/Value: This research is expected to improve the performance of Sariayu Martha Tilaar's green products and encourage Generation Z to switch to using environmentally friendly cosmetics. This study introduces a model that includes eco-labels, green advertising, knowledge about green products, trust in green products, and the intention to purchase green products. The study focuses on Generation Z as the target audience.

Possibilities of immunocytochemical staining for HBME-1 expression in the «diagnostic search» of differentiated thyroid cancer. Own investigation

Objective — to investigate HBME-1 expression variants on cytological material classified as doubtful (III, IV, V), according to the Bethesda categories, to evaluate the value of the HBME-1 expression test on the corresponding histological material of nodular goiter, follicular tumor with an uncertain potential for malignancy for the differential diagnosis of thyroid carcinoma (ThC). Materials and methods. The analysis was performed on the data of 14 patients with thyroid nodular lesions and cytological Bethesda categories III, IV, and V (“gray zone“). The HBME-1 expression was determined by the results of immunocytochemical (ICC) and immunohistochemical (IHC) staining with the use of mouse monoclonal antibodies against human HBME-1 (1 : 500; cat № BSB 3459; «Bio SB» «Bioscince for the World» Santa Barbara USA). The HBME-1 expression grade was calculated as the sum of the score for staining intensity and cytoplasmic positive cells square, present in the IHC sample. HBME-1 positive result was considered with an IHC score &gt;6 point. Results. From 14 investigated patients, five were defined as HBME-1 positive. According to the postoperative histological conclusion for the group of HBME-1 positive patients, thyroid carcinoma was diagnosed in four subjects, including three cases of papillary ThC and one follicular ThC; in one patient follicular tumor of uncertain malignant potential (FT-UMP) was reported. Importantly, immunocytochemical and immunohistochemical HBME-1 reactions in the specimens of these patients were of the same intensity. Among 9 HBME-1 preoperative negative patients, none had malignancy according to the final histological study. Nodular goiter was diagnosed in six patients, and tumor of uncertain malignant potential (FT-UMP) was reported for three subjects. Histological specimens of all 9 patients were HBME-1 negative as well. The obtained results demonstrated an increase in cancer detection rates with increasing Bethesda category. Application of statistical software for biomedical research МedCalc revealed that positive predictive value (PPV) of the HBME-1 expression test was 80% (95% confidence interval CI 38.4—96.3%), and diagnostic efficiency was 92.9% (CI 66.1—99.8%). These results suggest the great potential of the test, however, due to the limited observations, the confidence intervals are too wide. Conclusions. HBME-1 can be used as an immuno­cytochemical marker for the differentiation of benign and malignant thyroid nodules, its use will help to reduce the number of unnecessary surgical removals of benign tumors, which will improve the quality of life of patients and reduce the burden on medical services.

Mathematical process skills and cooperation character of elementary school students on simple flat building materials

This research was conducted to look at differences in mathematical process skills and the cooperative character of students and the influence between process skills and the character of cooperation. This research was conducted using mixed methods. The instruments in this study were interview sheets and questionnaires to determine process skills and the character of cooperation. Quantitative data was analyzed using the statistical analysis software application and qualitative data using Miles and Huberman. The sample used was 40 students with 20 students in each class. From the results obtained, there is no significant difference between students' mathematical processing skills. It was also found that there was an influence between the nature of collaboration and students' processing abilities. It can be concluded that there is an influence of process skills on the character of student cooperation. Keywords: Building; building material; mathematics; process skills; simple flat

FACTORS AFFECTING DIVIDEND PAY OUT RATIO WITH ROE (RETURN ON EQUITY) AS MODERATING VARIABLE

The purpose of this research is to find out whether cash ratio and ATO (asset turnover) have an influence on dividend pay-out ratio by using ROE (return on equity) as a control variable or moderating variable in the manufacturing industry listed on the Indonesia Stock Exchange during the 2018-2020 period. Samples were taken using purposive sampling method, and the data obtained were 39 firms. The data is processed using statistical software applications to analyze into multiple regression equations, namely the EViews program version 12 and Microsoft Excel 2010. This study provides test results that cash ratio and ATO (asset turnover) have an insignificant negative effect on dividend pay-out ratio. ROE (return on equity) cannot moderate cash ratio on dividend pay-out ratio. But ROE (return on equity) can moderate ATO (asset turnover) on dividend pay-out ratio. The conclusion of this study can analyze the factors that influence firm performance in increasing dividend pay-out ratio so that investors are interested in investing.

The Effect of Executive Compensation, Executive Characteristics, An Executive Shareholding on Tax Avoidance

This study aims to empirically prove the effect of executive compensation, executive characteristics, and executive share ownership on tax evading. This study was showed in the consumer goods manufacturing corporation listed on the Indonesia Stock Exchange (IDX) from 2016–2020, using a descriptive associative research method and secondary data. The sampling method used purposive. This research used 16 sample corporations, with a five-year research period of 5 years, so 80 samples were obtained for data processing using Microsoft Excel and the e-View Statistical software applications to analyze descriptive statistics, model conformity tests, classical assumption tests, coefficients of determination (R2), linear regression analysis of panel data, statistical test F and statistical test t. Results of statistical test F executive-compensation variables, executive-characteristics, and decision-making-shareholdings affect tax avoidance. The statistical test t of the executive compensation variable partially has a optimistic and significant effect on dividend payments—however, the executive's variable characteristics and the executive shares' ownership harm tax evading.

Effect of Eye Exercises on Computer Vision Syndrome among Medical Students of Universitas Sumatera Utara, Indonesia

Objective: To determine the effect of eye exercises on Computer Vision Syndrome among batch 2019 medical students of the Faculty of Medicine, Universitas Sumatera Utara, and Indonesia.Methods: This study used analytical true experimental with a Pretest-Posttest Control Group Design. Sample consisted of 86 respondents who were divided into two groups: control and experimental (intervention) groups. Each group consisted of 43 respondents who were sampled randomly using the simple random sampling technique. Data were collected through the Computer Vision Syndrome Questionnaire (CVS-Q) and analyzed using a statistical software application with a p-value of &lt; 0.05 considered significant.Results: A decrease in the score of Computer Vision Syndrome in the experimental (intervention) group after the eye exercise was observed with a p-value of 0.001 (&lt;0.05). Conclusion: Eye exercise has an effect on the Computer Vision Syndrome.

The Relationship Of Achievement Motivation And Self-Confidence To College Student’s Physical Fitness

The purpose of this study was to determine the correlation of the level of achievement motivation of physical education students in higher education to the level of their physical fitness. The method used in this study is a correlational analysis of two variables between achievement motivation and the physical condition of the samples. The subjects in this study were 24 college students, males, and females. The instrument used to obtain motivational data for the samples was an achievement motivation questionnaire consisting of 38 questions, and the Indonesian Physical Fitness Test (TKJI) to measure the physical fitness level of the samples. Data analysis uses statistical software applications that aim to obtain descriptive and inferential results to be able to conclude quantitative research results. The results of this study indicate that there is an insignificant relationship between achievement motivation and self-confidence in the sample’s physical fitness in both males and females.Keywords: Achievement Motivation, Self Confidence, Physical Fitness, Physical Education, Sports Psychology.

Analysis of combustion synthesis method for Cu/CeO2 synthesis by integrating thermodynamics and design of experiments approach

Solution combustion synthesis (SCS) is a commonly used method for synthesizing nanomaterials due to its energy and time efficiency. Herein, we present an analysis of synthesis parameters to optimize a targeted property by integrating results from thermodynamic calculations with Design of Experiments (DOE) approach. The analysis is conducted on Cu/CeO2, a catalyst planned to be used for CO2 conversion reaction. The SCS reaction using Cu(NO3)2 and Ce(NO3)3 precursors as oxidizers and glycine (C2H5NO2) as a fuel were thermodynamically studied in detail to provide input parameters for DOE. Estimations of the adiabatic combustion temperature and product composition at the equilibrium conditions were accomplished on the basis of Gibbs free energy minimization principle. Two of the operative parameters in SCS; the fuel to oxidizer ratio (φ), and metal loading (Cu on CeO2); were optimized using the Central Composite Design approach (CCD) and the statistical software application Minitab. The analysis of combustion system was performed for two cases; without the excess external oxygen supply, and with excess oxygen presence. The results showed that the φ variable is the most significant factor effecting the adiabatic combustion temperature and total gaseous products. On the basis of 1 mol of solid product, the optimum predicted values to have the maximum adiabatic combustion temperature and maximum gas products for both the cases of without and with the use of excess oxygen being ∼1650 K, 15 mol and ∼2550 K and 30 mol, respectively.

Utilization of statistical software applications and its influence on students’ attitude and performance in Statistics

Utilization of statistical software applications and its influence on students’ attitude and performance in Statistics

Treatment patterns, social determinants of health, and functional outcomes for older adults in supportive oncology.

e18575 Background: Research suggests that disparities in all-cause cancer survival times include a dynamic interplay of social determinants of health (SDOH) and treatment decisions. The social environment and associated vulnerability to interpersonal factors, access to social resources and supports, socialization and socioecological experiences affect health outcomes. The purpose of this study was to examine the nexus of SDOH, treatment decisions, and functional outcomes for older adults in supportive oncology at a large academic medical center. Methods: After obtaining IRB approval, we conducted a retrospective chart review of supportive oncology older adults from 2014-2017 (n = 4495) using data restricted to ICD10 codes for solid tumors. We conducted a retrospective analysis to investigate SDOH and treatment decisions for the older adult cancer cohort. Demographic variables included patient age, race, sex, medical insurance, primary diagnosis, attending physician specialty, and comorbidities. Survival time was defined as time from admission to event of death or discharge. We used zip code median income as a surrogate for individual level social gradients. The data were analyzed using the Statistical Analysis Software (SAS) application version 9.4. We used logistics regression and Cox proportional hazards models to answer research questions. Results: The sample (n = 4495) of adult cancer patients was 50% female, 51% white, and mostly (81%) high SES position. The mean age was 66.24 years (SD = 15.23). Treatment patterns included 596 (14%) chemotherapy, 402 (9%) radiation, 415 (9%) both chemotherapy and radiation; and 3015 (68%) reported not having any treatment. Median survival time was 12.88 days. Over 95% of sample reported multiple comorbidities while 76% reported enrollment in government insurance. The crude association between treatment decisions and social position was 1.64 (CI 1.38,1.95) compared to the bias adjusted association which ranged from 2.60 to 4.54. However, the hazard of mortality between those with no cancer treatment was HR = 1.03 (0.96, 1.11) times the corresponding hazard among those receiving treatment. Conclusions: Although supportive oncology clinics may decrease symptom-burden, they may add to fragmentation of care if multiple personnel are involved. Our findings provided evidence that high socially positioned older adults were 4.54 times more likely to receive treatment compared to low socially positioned older adults although there was no meaningful difference in survival times. Clinicians need to create interventions to reduce treatment disparities. Further research is warranted to foster policy models to improve health equity and promote positive functional outcomes for older adults with cancer.

Application of Statistical Software in Quantitative Data Analysis

The paper expounds on the application of Statistical Software (SS) in quantitative data analysis. Research questions were formulated andquestionnaire were used for data collection. The collected data were analysed using percentage, mean and regression. From the analysiscarried out, we discovered that women are fewer in the academic profession. We also find out that the most common statistical software isMsExcel, followed by Statistical Package for Social Sciences (SPSS) and the less popular statistical software is R. Also, the frequently usedstatistical software is SPSS, followed by MsExcel, while the less usage statistical software is R. In this paper work, it was shown that there isa positive impact of statistical software in obtaining a fast, accurate and efficient result in academic staff research work in Kogi State Polytechnic(KSP), Lokoja. The following statistical software - MsExcel, SPSS, Graphpad, Minitab and R, were highlighted and the regressionanalysis carried out for each statistical software were screenshot and presented. It was discovered that the five (5) different SS used gavethe same result. The simple regression model obtained is Number of Death = 44+ 2.17Malaria. Recommendations were made accordingly

Typology of Pure Deodar Forests Driven by Vegetation–Environment Relations in Manoor Valley, Northwestern Himalaya

The current research was carried out to characterize the phytosociology of the forests of one of Pakistan’s most valuable tree species (Deodar) across its native range. In this context, our main hypothesis was that, along the altitudinal gradient, we would find different plant communities that would be driven by different environmental variables (climatic, edaphic, and physiographic). Therefore, to assess the vegetation structure of the pure Deodar forests of the unexplored Manoor Valley (Northwestern Himalaya), Pakistan, frequent field visits were carried out during different seasons of 2015–2018. Ecological methods: Line transects sampling (23 stands) and phytosociological attributes were evaluated in relation to geographical and environmental variables. Various statistical software applications (i.e., PCORD, RStudio 4.0, and R 3.6.1) were used to examine all of the gathered data of plant species and environmental variables. A total of three different plant communities (Cedrus–Isodon–Cynodon, Cedrus–Cynodon–Dryopteris, and Sambucus–Cedrus–Desmodium) were identified by grouping 162 species and 23 stands in pure Deodar forests under the influence of geographic, slope, edaphic, and climatic variables, ranging from 1580.8 to 2373.8 m. The altitude (1936–2373 m), slope angle (25–85°), sandy (29–48%) and loamy soil texture, wind speed (1.45 ms−1), and temperature (25.8 °C) all had a strong influence on the Sambucus–Cedrus–Desmodium community. In contrast with this, the Cedrus–Cynodon–Dryopteris community showed a positively significant relationship with the northeastern slope, silty (32–58%) and sandy (15.8–55%) loamy soil texture, and barometric pressure (814.3 pa). Nonetheless, the Cedrus–Isodon–Cynodon community revealed a significant positive association with the northeastern to southwestern slope, pH (6.3), wet bulb (19.7), and dew point (17.7). We found significant differences (p &lt; 0.001) among the three communities found in the pure Deodar forests in the four diversity indexes. The Sambucus–Cedrus–Desmodium community has the maximum number of plants (129 species), Shannon’s diversity (H’ = 3.7), and Simpson’s dominance (0.98) values among the recorded communities. The Pielou’s evenness index value was led by the Cedrus–Isodon–Cynodon community (0.97). Beta diversity showed a dissimilarity lower than 50% among the three communities. Simple term effects in the canonical correspondence analysis model revealed significant (p &lt; 0.05) differences in altitude, slope angle, slope (southeastern), and wind speed variables. The present investigation sheds light on vegetation pattern and species contribution as a function of environmental gradients and provides a baseline for future studies.

The effectiveness of group problem-solving therapy on women's sexual function and satisfaction after mastectomy surgery

BackgroundBreast cancer is the second cause of death and the most common cancer in women worldwide, threatening different aspects of individual and mental health, quality of life, sexual function, and sexual satisfaction. This study aimed to determine the effectiveness of group counseling based on a problem-solving solution on women's sexual function and satisfaction after mastectomy surgery.MethodsThe present research was an open pilot study, with a pretest, a post-test, and a follow-up period. Of women referred to the Tehran Breast Cancer Institute, 32 were selected using convenience sampling. The group received eight 90-min sessions of problem-solving solution counseling. This approach is based on cognitive-behavioral therapy and can improve an individual's ability to cope with stressful life experiences. The data collection tool was FSFI and sexual satisfaction questionnaires, which were filled before the intervention (baseline), immediately after the intervention, and one month later (follow up). Data analysis was performed using SPSS 21 statistical software application at the certainty level of 95% (P < 0.05).ResultsThe mean FSFI score increased from 18.37 ± 8.35 before the intervention to 20.88 ± 7.67 immediately after the intervention and 22.95 ± 5.79 one month later (P < 0.0001). Also, the mean sexual satisfaction score was 65.27 ± 5.98, 68.08 ± 5.61, and 70.46 ± 5.35 before the intervention, immediately after the intervention, and one month later, respectively (P < 0.05). The results also showed that although the two components of sexual function and satisfaction were statistically significant after sexual counseling, this improvement was not clinically progressive. The mean sexual function and satisfaction score was still low after sexual counseling.ConclusionsIt was observed that sexual function and satisfaction were improving among the patients after the intervention. Thus, sexual health counseling sessions are recommended for breast cancer patients.

Resource Optimization in Paddy Cultivation, for Developing Countries; A Sector Synergetic Approach

The misleading fallacy of, higher the chemical fertilizer higher the yield therefore, better the income be. Have triggered in an over usage of chemical fertilizer more than the recommend standard. This has created in a self-pressuring situation among farmers in developing countries. This vulnerability occasionally leads into a decision-making situation where both life and death are seen as viable options. Hence in order to safeguard the farmer, with the aims of educating these disobedient farmers, through the process of validating the existing chemical fertilizer standard. This research was carried forth in Sri Lanka, for the paddy farmer. The data were collected in a data triangulation, where a controlled experiment, two series of interviews and two sets of questioners were utilized. Both, quantitative as well as qualitative data and, primary as well as secondary data were collected. Depending on the nature of the data collection instrument, an experiment, thematic, descriptive and a correlation analysis were performed through statistical software applications. Further, a yield and a soil test was performed for the controlled experiment plots. By adjusting the parameters accordingly, this study could be used as a model by other countries, regions or crops. Finally concluding on a policy implication, to eliminate or reducing the chemical fertilizer over usage in developing countries. Further avenues for a managerial implication where the Balance of Payment could be used to positively stimulating a developing countries Gross Domestic Product to achieve sustainable economic growth in the long run are discussed.

Statistical Software Applications and Statistical Methods Used In Community Medicine and Public Health Research Studies

Background: The utilization of software in statistical methods and tools has increased very much in last two decades. The easily availability of statistical application software on internet, made easy to analyse, interpretation and conclude the study variables.&#x0D; Aim and Objectives: To know the statistical software applications and various statistical methods used in the community medicine and public health research studies.&#x0D; Materials &amp; Methods: A cross sectional retrospective study, We had included online community medicine and public health journals of four years (2017 to 2020).By cluster sampling method were used and each cluster includes articles of four different year, 400 randomly selected research articles were downloaded &amp; reviewed. The data was analysed by using SPSS version 23.&#x0D; Results: 400 articles were reviewed. 317 (79.25%) were used Ms-Excel software followed by 261 (65.25%) descriptive statistics and 145(36.25%) SPSS and 143 (35.75%) applied cross sectional study design. 91 (22.75%) applied chi-square test, 77(19.25%) applied ANOVA test. 59(14.75%) t-tests. Only 41(10.25%) articles were reported with confidence intervals.&#x0D; Conclusion: The current study reveals, Microsoft excels, and SPSS and R-programming were more frequently using software in the community medicine and public health, whereas descriptive statistics, chi-square tests, t-tests and non-parametric tests were commonly using statistical methods.

Application of Statistical Analysis Software in Investigation Research in the Background of Big Data —Take SPSS as an Example

大数据；统计分析；实证研究；SPSS 分析

Research on the influence of physical activity on students’ academic achievements based on computer statistical software application

Due to the long-term concept of light sports in China, enthusiasm for physical activity is often misunderstood by parents as not expressing love. However, it has been proved that moderate to intense physical activity has a positive impact on academic performance. It is harmful to the health of young students to focus only on academic performance and ignore physical activity. In previous studies, there are long-term problems, such as insufficient experimental methods, lack of depth in content, focusing on pure physiological and psychological research, and lack of in-depth research on the relationship between sports activities and academic achievements. Therefore, this study will explore the relationship between physical activity and academic achievement, in order to change the public’s original prejudice against physical activity and highlight the importance of physical activity; According to different gender and age characteristics, this paper explores that students’ favorite sports have different effects on academic performance, and points out that there are intermediate variables between physical activity and academic achievement, such as aerobic endurance, stress, selective attention, sustained attention, attention shift, self-regulation ability. Physical activity can effectively promote the improvement of these variables, thus affecting academic performance, highlighting the equal status of sports disciplines and other disciplines.