Analysis Of Variables Research Articles

Financial Management in Business Administration: Optimizing Resources for Profitable Outcomes

This examine provides a complete analysis of participant demographics, survey responses, and financial variables to offer a nuanced know-how of the research domain. The demographic breakdown in Table 1 exhibits a balanced gender distribution (60% lady) and a targeted age variety (imply age of 35.Four years), imparting a context for next analyses. Survey responses, as precise in Table 2, showcase excessive pride (imply rating of 4.Five) and willingness to endorse (imply rating of four.Eight), while versions within the belief of provider high-quality underscore numerous player viewpoints. The economic analysis in Table three delves into sales, expenses, and profit margin, highlighting a robust financial performance with mild variability. In conclusion, this holistic approach equips stakeholders with insights into participant characteristics, perceptions, and monetary dynamics. The findings serve as a foundation for knowledgeable choice-making, method development, and ongoing exploration inside the studied context. The examine not simplest captures the present image but additionally encourages continuous inquiry and refinement.

Prediction of Health Insurance Cross-Selling Through Binary Logical Regression and Decision Tree Model

Cross-selling is typically a marketing strategy used to identify a customer's various wants and then sell a range of related services or products by attending to those demands. Cross-marketing refers to a variety of tactics and procedures used to encourage cross-selling. The most crucial role in conventional banking and insurance is played by cross-selling. In most nations, auto insurance has traditionally played a significant role in the insurance market. This paper is based on information from all of a medical insurance company's clients and their automobiles throughout the course of a certain year. The binary logistic regression model and decision tree model are used to examine the customer's interest in purchasing auto insurance in the dichotomy, and the two techniques are compared to identify the most accurate prediction method. Through reasonable analysis of independent variables and dependent variables, the prediction accuracy of the binary logical regression model is 87.7% and that of the decision tree model is 87.6%. The accuracy of the two is similar.

Использование молочных продуктов с предельным сроком хранения при создании кормовых рецептур

The dairy industry inevitably loses a lot of products at the stage of sale because their shelf-life is limited. However, non-marketed dairy products can be recycled into whole milk substitutes with close-to-natural amino acid and fat composition. This research offers a comprehensive analysis of variables that affect the efficiency of recycling plants that specialize in dairy products. The authors linked the performance of recycling plants with various economic indicators to develop a performance test criterion. The article also introduces some basic principles of developing amino acid and fat compositions of feed products and additives obtained from non-marketed dairy products.

An Analysis of Variables Affecting Stock Exchange Investment

The objective of this study is to examine the determinants that impact stock market investment in Brazil, specifically in the city of Salvador. Emerging nations have the potential to utilize these marketplaces to foster their economies. Nevertheless, certain emerging countries may lack familiarity with the procedure. The stock exchange is a favored choice for companies seeking lucrative investment prospects. Investors usually make decisions in these markets by analyzing projected returns and risks connected with their investments, as these marketplaces are where financial transactions occur. Investors generally avoid high-revenue investments because of the considerable risks involved, choosing instead to pursue low-risk, low-revenue businesses. The present study was examined using a quantitative approach. The research was conducted in Salvador. Out of the 100 surveys distributed by the researcher, only 71 questionnaires were received and completed accurately. The researcher utilized single-regression analysis to identify the elements that impact stock exchange investment. According to the data, the stock market is most influenced by the supply and demand factor, which has the greatest impact. It is followed by the economic factor, the third component being competition, and finally the political element, which has the least influence. The data indicate that supply and demand have a significant influence on stock exchange investment in Brazil.

The level of organic farming productivity in selected EU countries

The article aims to determine the efficiency of organic crop production and the potential of organic animal production on a macroeconomic scale in selected European Union (EU) countries. Synthetic indicators were constructed and calculated using Principal Component Analysis based on Eurostat data from 2012-2020. The results allowed us to compare the economic situation of organic farming in different countries and to determine their rankings. The discussion is complemented by an analysis of key variables relating to crop and animal production. This helped to explain the reasons for changes in the ranking of individual countries and to characterise the evolution of individual types of production. In organic crop and animal production, the clear leaders were the Netherlands, Belgium and Denmark (only in animal production), i.e., countries with well-developed, modern organic farming systems. Poland is characterised by relatively low crop production efficiency and one of the lowest animal production potentials. The results of the research can be used to improve the operation of agricultural policy in order to increase the efficiency of organic production.

A Retrospective Analysis of Admission Trends and Outcomes in a Wildlife Rescue and Rehabilitation Center in Costa Rica.

The evaluation of data regarding rehabilitation practices provides reference values for comparison purposes among different rehabilitation centers to critically review protocols and efficiently improve each center. The aim of the present work was to present the main causes of admission to Rescate Wildlife Rescue Center for each taxonomic group, to determine the admission factors that influenced the release and mortality, and to determine the predictive factors of release and mortality of wildlife. To this end, a retrospective study was carried out based on 5785 admissions registered in the database of Rescate Wildlife Rescue Center in Costa Rica in 2020 and 2021. Statistical analysis consisted of sample characterization via the analysis of several categorical variables: species, order, class, age group, cause of admission, outcome, clinical classification and days in the hospital, and respective association with the mortality or release rate. Most of the rescue animals were birds (59.3%), then mammals (20.7%), reptiles (17.4%), and finally 'others' (2.6%). The main causes of admission were 'captivity' (34.9%), 'found' (23.3%), and 'trauma' (19.3%). Animals rescued due to 'captivity' and the classes 'birds' and 'reptiles' had the highest release rates. The causes of admission 'trauma' and 'orphanhood' and the class 'birds' had the highest mortality rates. In general, a greater number of days spent in the hospital and membership in the classes 'reptiles', 'juveniles', in need of 'basic care', or 'clinically healthy' were predictors of survival. In contrast, the age groups 'infant' and 'nestling' were predictors of mortality. These results demonstrate the value of maintaining, improving, and studying databases from wildlife rehabilitation centers, as they can provide useful information that can be used to enhance the allocation of economic resources, treatment methods, disease surveillance, public education, and regulatory decision-making, leading to a better understanding of threats to wildlife and subsequent implementation of conservation actions.

Motivation for continuing education in nursing

IntroductionThe importance of Continuing Professional Education is emphasized internationally due to the widespread changes in different domains. The nursing profession plays an important role in healthcare due to the influence of nurses on patients’ and community health status. Thus, it is crucial to understand the motives for participation in Continuing Professional Education programs. This study seeks to recognize the motivational factors that affect nurses to choose Continuing Nursing Education. Material and methodsData was collected through a self-completed questionnaire, sent in electronic form to Hellenic Nurses Associations and Institutions. The Kolmogorov—Smirnov test was used for normality analysis of the quantitative variables. Unifactorial analyses were made by using the Mann–Whitney t-test, Kruskal–Wallis test, and Spearman’s correlation coefficients to analyze the relation between the outcome variables (PRS subscales questionnaires) and the quantitative, qualitative demographic characteristics respectively. ResultsThe results of this study have shown that all factors explored within the 4 dimensions by Participation Reason Scale (PRS), have generated a positive response. Factors improving professional skills and patients’ services were the most common factors that affect nurses’ participation in Continuing Education. Certain demographic variables are associated with specific motivational factors, specifically with higher levels of motivation for both improving professional skills and patient services, as well as professional commitment among nurses. ConclusionIt is crucial to investigate the incentives for Continuing education in Nursing and recognize their actual training needs. When individuals' continuing education and training needs are acknowledged, it will become possible to develop training plans, promotion, and strategies that are aligned with their specific needs and objectives.

Impact of Social Network Sites on Developing Brand Communication in Xian City

The digital era mobilises the world cities with various traits and symbolic resources to brand the images of the cities through propagation in Social Media (SM) platforms. This work examines Xian, the fastest developing city in China, which is in the process of building its brand through SM platforms. The model proposed in this work uses elaborative variables that are categorised into four indicators which characterises the behaviours of users in the SM. Each variable is weighted based on the entropy method as each one has a varied level of intensity in the model. The detailed results indicate that the size of the network is a significant factor in construction of brand communication through the SM platforms. Further, the study also includes the descriptive statistics and correlation analysis of individual explanatory variables with the model’s output value. The result of this analysis indicates that connections with friends and a number of followers as crucial factors in board communication of Xian city. This work can guide the local municipal authorities to advertise and influence SM users to create a positive brand of the city.

Radiological predictive remission factors of pulmonary involvement in systemic sarcoidosis: a computed tomography scan study.

As little is known about the prognostic value of CT scan findings at onset in patients presenting with sarcoidosis, we aimed to identify factors independently associated with radiological remission of pulmonary involvement in systemic sarcoidosis on CT scan findings. We conducted a retrospective descriptive and analytic study of patients with a biopsy proven systemic sarcoidosis. We compared patients on radiological remission (group 1) to those on stabilization or progression (group 2). Multivariate analysis of variables significantly associated with radiological remission in univariate analysis was performed using binary logistic regression. Out of 65 records of systemic sarcoidosis, 43 were analyzed. 18.6% where male and 81.6% female with a sex-ratio of 0.22 and a mean age at diagnosis of 47.2 ±13.6 years. We found atypical lesions in CT scan findings in 16 patients (37.2%). Comparative pulmonary CT scan findings at admission and at 12 months follow-up revealed 13 patients (30.2%) in remission (group1) and 30 patients in radiological stabilization or progression (group 2). On multivariate analysis, lymphopenia, calcifications, and typical CT scan findings at presentation were predictive factors of remission of pulmonary involvement in systemic sarcoidosis (aOR=27.57; 95%IC=2.67-284.63; p=0.005) (aOR= 37.2; 95%IC= 2.08-663.89; p= 0.014) (aOR=47.1; 95%IC= 1.79-1238.7; p=0.021) respectively. In patients with systemic sarcoidosis with no lymphopenia at onset or calcifications or typical CT scan findings at presentation, we suggest a close follow-up as well as an intensive treatment.

XGBoost sequential system for the prediction of Persian lemon crop yield

AbstractToday, Mexico ranks second worldwide in total lemon production; however, the yield per hectare is only ranked eighth, which makes evident a low productive potential in the country. This work provides an impact analysis of certain physical and climatic variables on the yield of Persian lemon (Citrus latifolia) harvest; its objective is to determine which variables are controllable to guarantee a higher crop yield in different uncontrollable climatic conditions. For this, we developed a yield prediction system. The system consists of three sequential Extreme Gradient Boosting (XGBoost) algorithms fed with historical information, which allow for prediction of Persian lemon crop in its three stages: flowering, budding, and fruiting, having as input variables planting density, number of trees in production, pruning and cleaning, and pest control, in addition to uncontrollable weather elements such as rain and wind. The variables with the greatest impact on crop yield are pruning, cleaning, and pest control. The algorithms have a performance of 0.87, 0.93, and 0.97, respectively, for each stage. The analysis provides the farmer with a tool that allows him to make data‐driven decisions based on the manipulation of good agricultural practices considering the current weather conditions, thus promoting a higher harvest yield and thus a higher profit margin.

Adverse childhood experiences, HIV and sexual risk behaviors ― Five sub-Saharan countries, 2018–2020

BackgroundAdverse childhood experiences (ACEs) have been shown to have negative, lasting effects on health including increasing the likelihood of engaging in sexual risk behaviors. ObjectiveThis study aimed to identify associations between exposures to ACEs and sexual risk behaviors and HIV service utilization among young people. Participants and settingA sample of 8023 sexually active young people (19–24 year olds) from five sub-Saharan African countries participated Violence Against Children and Youth Surveys (VACS). MethodsDescriptive analysis of demographic variables, individual ACEs, cumulative ACEs, sexual risk behaviors, HIV testing, antiretroviral treatment (ART) and Antenatal Care (ANC) attendance were completed. Bivariate and multivariable logistic regression analyses were conducted to assess the associations between both individual and cumulative ACEs, sexual HIV risk behaviors, and service utilization while controlling for important covariates such as demographic, having ever been pregnant, had an STI, and used contraception. ResultsExposure to three or more ACEs was higher among males (26.1 %) compared to females (21.3 %); p = 0.003. The most prominent sexual risk behavior for females was having sexual partners who were at least 5 years older (45.7 % compared to males 3.7 %; p < 0.0001) whereas in males it was no or infrequent condom use (45.3 % compared to females 30.1 %; p < 0.0001). Males and females exposed to childhood sexual violence had seven and four times the odds of engaging in transactional sex (aOR = 7.34, 95 % CI: [3.5–15.0]) and (aOR =3.75, 95 % CI: [2.3–6.2], respectively. Females exposed to three or more ACEs were four times more likely to engage in transactional sex (aOR = 4.85, 95 %, CI: [1.6–14.4]) compared to those who did not experience any ACEs. Males exposed to three or more ACEs were two times more likely to engage in early sexual debut (aOR = 2.2, 95 % CI: [1.3–3.4]),]) compared to those who did not experience any ACEs. Females who had witnessed IPV or violence in the community had significantly higher odds of getting tested for HIV (aOR = 2.16, 95 % CI: [1.63–2.87]) and (aOR = 1.36, 95 % CI: [1.03–1.81]), respectively. ConclusionsThis study demonstrated that experiencing ACEs during childhood is associated with higher HIV risk behaviors in sub-Saharan Africa (SSA) with unique differences between males and females.

Evaluation of Rheumatic Diseases Affecting the Temporomandibular Joint: A Cone Beam Computed Tomography Study and Literature Review.

Due to the silent manifestation of temporomandibular joint (TMJ), dentists and rheumatologists may neglect treatment for this joint. The aim of this study was to investigate the TMJ components in patients with various rheumatic diseases and to compare them with a control group based on cone beam computed tomography (CBCT) images. This study comprised an assessment of the CBCT images of 65 patients (130 temporomandibular joints) with various rheumatic diseases (mostly rheumatoid arthritis) affecting the TMJ. Moreover, 65 patients (130 temporomandibular joints) with a similar age and gender distribution were examined as the control group. Pathologies were classified into a total of 12 types for the presence of any osseous changes in the condylar head or articular fossa or for joint space narrowing. Statistical analysis of all data was performed with SPSS version 18. The conformity of continuous variables to a normal distribution was examined by the Kolmogorov-Smirnov test. The Mann-Whitney U test was used to compare the means of two independent groups. The Pearson Chi-square test, Yates correction and Fisher's exact test were used in the analysis of categorical variables. The mean age of the patient and control groups was 50 ± 13 and 48 ± 16, respectively, and no statistically significant difference was found between the patient and control groups in terms of age distribution (p = 0.123). Condylar erosion, condylar flattening, subcondylar sclerosis, osteophytes, subcortical cysts, articular eminence resorption and articular eminence flattening rates were found to be statistically significantly higher in the patient group than in the control group (p < 0.05). Dentomaxillofacial radiologists should examine the bony components of the TMJ in patients with rheumatic diseases, and a multidisciplinary approach involving a dental specialist and rheumatologist is required.

Realistic assessment of tire and road wear particle emissions and their influencing factors on different types of roads

This study aims to examine tire and road wear particle (TRWP) emissions under realistic conditions in order to provide some valuable insights into understanding their sources and fate in the environment. TRWP emissions were evaluated with a fully instrumented vehicle driving on five representative road types: urban, ring road, suburban, highway, and rural. Multiple vehicle dynamic variables were recorded to assess the factors influencing these emissions. For the first time, emitted particles were collected on filters and analyzed by means of pyrolysis coupled with gas chromatography-mass spectrometry to determine the polymeric content of tires, in specifically quantifying styrene-butadiene rubber (SBR) and butadiene rubber (BR) pyrolytic markers. The measurements obtained from the five road types revealed similar size distributions for SBR + BR emissions, with maxima found in the (ultra)fine fraction (< 0.39 µm). Upon applying an SBR + BR-to-TRWP conversion factor, (ultra)fine fraction TRWP emissions proved to be the highest for suburban (64 ± 5 µg/km), followed by highway, urban, ring road and rural routes. The output represents up to 480 tons of TRWP per year emitted in the EU27, thus suggesting a widely impregnated atmospheric compartment capable of threatening human health. Furthermore, an analysis of variables revealed that acceleration, tire constraints, and constant sustained driving factors had specific impacts on TRWP emissions.

Safety of patients with chronic kidney disease in hemodialysis clinics in northeastern Brazil

Objectives: analyze patient safety in hemodialysis clinics in northeastern Brazil. Methods: One hundred eighty-one nursing professionals from 11 hemodialysis clinics in Fortaleza, Brazil, participated. Data collection occurred through the application of a sociodemographic characterization form and the Patient Safety Assessment Scale for Chronic Patients in Hemodialysis. Descriptive analysis of quantitative variables and the Chi-Square and Likelihood Ratio statistical tests were performed. Results: The study showed that 165 (91.2%) subjects received safe care practices, while 16 (8.8%) received unsafe care practices, originating from two (18%) hemodialysis clinics. There was a significant association between work hours (p=0.017) and participation in patient safety training (p=0.005) and care practices. Conclusion: Non-compliant patient safety practices were identified, associated with sociodemographic factors of the nursing team. Targeted interventions are needed to improve patient safety in these settings.

Multivariate Analysis of the Main Operational Variables Involved in Steel Producing on BOF Using Time Series Tools

There is significant interest in accurately modeling the operational variables of the steel-making process in LD converters. Despite this, the task is challenging due to the complex interactions between process variables, which are not entirely comprehended. Often, decisions in the industry are grounded in experience. This study aims to introduce a robust model that can effectively guide engineers and technicians by forecasting the future behavior of steelmaking variables in the BOF furnace. We employed multivariate time series analysis to reach this goal, utilizing tools like Vector Autoregression models, ElasticNet, K-Nearest-Neighbors, Multiple Linear Regression, and Long Short-Term Memory Neural networks. These models were tested on data from three distinct steel production campaigns. A successful model was identified, predicting 35 out of the 42 chosen variables, demonstrating the potential to correlate a majority of the selected parameters.

Vaccine confidence mediates the association between a pro-social pay-it-forward intervention and improved influenza vaccine uptake in China: A mediation analysis

IntroductionA Chinese clinical trial has demonstrated that a prosocial pay-it-forward intervention that offered subsidized vaccination and postcard messages effectively increased influenza vaccine uptake and vaccine confidence. This secondary analysis explored the potential mediating role of vaccine confidence on the association between a pay-it-forward intervention and influenza vaccine uptake, and how this might vary by individual annual income levels. MethodsData from 300 participants (150 standard-of-care and 150 pay-it-forward participants) were included in the analysis. We conducted descriptive analysis of demographic and vaccine confidence variables. Multivariable regression and mediation analysis on interventions, vaccine confidence and vaccine uptake were conducted. A sub-group analysis was conducted to further understand whether associations between these variables vary by income levels (<=$1860 or >$1860). ResultsThe pay-it-forward intervention was significantly associated with greater levels of perceived influenza vaccine importance (adjusted odds ratio (aOR) = 3.60, 95 %CI: 1.77–7.32), effectiveness (aOR = 3.37, 95 %CI: 1.75–6.52) and safety (aOR = 2.20, 95 %CI: 1.17–4.15). Greater perceived influenza vaccine importance was associated with increased vaccine uptake (aOR = 8.51, 95 %CI: 3.04–23.86). The indirect effect of the pay-it-forward intervention on vaccination was significant through improved perceived influenza vaccine importance (indirect effect1 = 0.07, 95 %CI: 0.02–0.11). This study further revealed that, irrespective of the individual income level, the pay-it-forward intervention was associated with increased vaccine uptake when compared to the standard-of-care approach. ConclusionsPay-it-forward intervention may be a promising strategy to improve influenza vaccine uptake. Perceived confidence in vaccine importance appears to be a potential mediator of the association between pay-it-forward and vaccine uptake.

Scales of Connectivity within Stream Temperature Networks of the Clackamas River Basin, Oregon

Water quality varies along the stream network; thus, considering the directional, dendritic nature of stream networks with surrounding landscape variables is essential in explaining spatial variations of water quality. Using a spatially extensive stream temperature monitoring effort in the Clackamas River Basin in the United States, we first compare spatial scales of analysis of atmospheric, landscape, and in-stream explanatory variables through their correlation with summer stream temperatures. We then derive a predictive stream temperature model with factors representing the spatial variation of local climate, recent wildfire effects, and discharge. Finally, we compare nonspatial multiple linear regression to a spatial stream network (SSN) model to assess the combined importance of the spatial scale of analysis and flow-connected stream distance in explaining total variation in stream temperatures. Most explanatory variables show the most highly significant relationships to stream temperature when derived as a percentage of the total upstream area above observation sites. Elevation and vegetation cover, however, were most significantly correlated to stream temperature at the riparian buffer area scale and the local reach contributing area scale, respectively. Multiple regression analysis using total upstream burned area, total upstream area with underlying High Cascades geology, and the elevation within the 100-m-wide riparian area explained 81 percent of variation in stream temperature. SSN outperformed this nonspatial statistical model, however, in explaining the total variation in stream temperature. These comparisons of scaled data sets demonstrate both the local and cumulative upstream effects on stream temperature, providing a spatial network-informed framework to those prioritizing watershed restoration and wildfire recovery activities.

Path Analysis of Admission and Program Achievement Variables to Predict Physician Assistant National Certifying Examination Performance: Results of a 6-Year Study

Introduction The primary aim of this study was the examination of relationships between students' preadmission achievement, intraphysician assistant (PA) program achievement, and Physician Assistant National Certifying Examination (PANCE) performance using path analysis regression. Second, this study explored the extent to which the theoretical model differed based on several key demographic variables: sex and undergraduate major. Methods This retrospective, single-institution study examined data from 2015 to 2022 (n = 322). Analysis included descriptive statistics, bivariate correlations, and path analysis using structural equation modeling to examine direct, indirect, and total effects of all predictors on the primary outcome variable, PANCE. Results PACKRAT-I demonstrated the largest total effect size on PANCE total score (β = .45). Total effect size on PANCE was small yet significant for prerequisite grade point average (GPA), Graduate Record Exam verbal and quantitative subscores, a comprehensive didactic cardiology examination, didactic and clinical year GPAs, and End of Rotation examination mean score (β &lt; .25). The relationship between mean preceptor evaluation score and PANCE was nonsignificant. Subgroup analyses showed differences between female and male in the relationship between several didactic variables and preceptor evaluations. No differences were detected between groups based on undergraduate major. Discussion This PANCE analysis revealed relationships among pre-PA and intra-PA performance metrics that may subsequently support data-informed strategies for programs to identify at-risk students, aid student success, and support the assessment of curriculum. Future studies should replicate the approach using a larger, multi-institution sample that examines additional preprogram and intraprogram achievement variables.

Selection of popcorn genotypes resistant to Spodoptera frugiperda and identification of resistance-related key traits

&#x0D; The Spodoptera frugiperda, is one of the most deleterious pests of popcorn and the identification of resistant genotypes is determinant in breeding programs. The objective of this study was to select popcorn genotypes resistant to S. frugiperda and the key traits related to the identification of resistance. The popcorn varieties UEM J1, Composto Márcia, Arachida, Composto Gaúcho, and Zapalote Chico (resistant check) were evaluated in a completely randomized design with 100 replications. The experimental unit consisted of one Petri dish, containing plant material and a caterpillar The following traits were evaluated: larval stage duration (LSt), food intake weight(IW), final larva weight (FW), mean larva weight (MW), feces (F), assimilated (A) and metabolized food weight (M), relative consumption rate (RCR), relative metabolic rate (RMR), relative growth rate (RGR), conversion efficiency of ingested food (CEI), apparent digestibility (AD), conversion efficiency of digested food (CED), and leaf area consumed (LAC). The diagnosis of multicollinearity, analysis of canonical variables, genetic divergence, hierarchical clustering, factor analysis and canonical correspondence analysis were carried out to perform multivariate analysis. After the multicollinearity test, the traits FW, IW, RCR, AD, and LAC were maintained for further analysis. The traits IW, FW and AD were determinant in the resistance by antixenosis expressed by the varieties Zapalote Chico and Arachida, for the varieties Composto Gaúcho and Composto Márcia the determining characteristics were RCR and LAC and for the variety UEM J1 the variable LAC showed greater importance. Variety Arachida was considered resistant to S. frugiperda by antixenosis and can be used in the future as a source of favorable alleles to breed resistant popcorn hybrids. The traits relative consumption rate, apparent digestibility and leaf area consumed were considered key traits in the identification of resistance against S. frugiperda in popcorn genotypes.

Somatotype Analysis of International Football Players with Cerebral Palsy: A Comparison with Non-Disabled Football Players.

Football for people with cerebral palsy is a para-sport involving ambulant athletes with impairments, such as hypertonia, ataxia, or athetosis. The objective of the present study was to describe the somatotype of a representative sample of international football players according to different functional profiles of cerebral palsy, including spastic diparesis, athetosis/ataxia, spastic hemiparesis, and minimum impairment criteria, and to compare it with non-disabled football players. A total of 144 international para-footballers and 39 non-disabled footballers participated in the study, and their somatotype was calculated using anthropometric measurements. A Kruskal-Wallis test was used to compare the groups to determine and assess the differences between the different functional profiles, and the analysis of anthropometric variables and body composition showed no differences. Regarding somatotype, a predominance of the mesomorphic component was observed in all subgroups, and differences in somatotype were also found between non-disabled footballers and para-footballers with spastic hemiparesis and minimum impairment criteria. This study suggests that there may be a degree of homogeneity in terms of somatotype among footballers with or without physical impairments, such as hypertonia, athetosis, or ataxia. Furthermore, it provides reference values of international-level para-football players for the different sport classes, which can help coaches and trainers monitor athletes' physical conditions.