Flexible Fitting Research Articles

Open Educational Practice and Workforce Competence in Cultural Studies

This paper presents findings from the first half of a study focusing on workforce competence (WFC) and open educational practices (OEP) in a core unit for university students. Approximately 500 students per semester from across college disciplines take the unit in cultural studies. This unit has been redeveloped by our team at a university in remote northern Australia with a well-established blended delivery practice. I used developmental evaluation and content analysis to identify criteria for developing WFC skills in unit content, students’ feedback, and work samples. Initial findings suggest that OEP, interdisciplinary use of educational technology and critical pedagogies embed WFC skills for many students. Students endorsed how we used technologies, OEP and unit content as vehicles for desirable skills. OEP can cultivate workforce skills in different qualifications and could sidestep the conflicting dilemmas graduates face with futures that demand flexibility and specific job fit. This short piece shares initial analysis of emergent links between OEP and WFC and points to ways OEP, related interactions and workforce skills can improve learning design strategies across the education sector.

Relationship Between Physical Fitness, Anthropometric Measurement, and Bone Health in Adult Men.

The aim of this study was to assess the relationship between physical fitness, anthropometric measurement, and bone health in adult men. Ninety-six adult men participated in this cross-sectional study. Anthropometric measures, including height, weight, chest, waist and hip circumference, and physical fitness parameters reflecting muscular strength, agility, flexibility, power, balance, and cardiopulmonary fitness were assessed. Whole-body bone mineral density (BMD) and bone mineral content (BMC) were measured with a dual-energy X-ray absorptiometry scanner. The results showed bone health outcomes to have a significant correlation with anthropometric and physical fitness parameters. Stepwise regression analysis proved physical fitness parameters explaining significant variance in bone health such as BMD and BMC to be focused on muscular strength, flexibility, and pulmonary function. Furthermore, anthropometric parameters including hip circumference can help explain BMC. The findings suggest that anthropometry and physical fitness can be used for the prediction of bone health in adult men.

Sports Competition Assistant System Based on Fuzzy Big Data and Health Exercise Recognition Algorithm

When material desires are satisfied, people begin to pursue more and more spiritual levels. Health exercises have an excellent auxiliary effect on people’s flexibility and physical fitness, so more and more people choose health exercises. However, the movement of health exercises returns to Chengdu and affects the efficiency of physical training. Therefore, we have designed a sports competition assistance system based on vague big data and a health exercise recognition algorithm. First of all, in this article, the standard score comparison database is created by extending the standard action data. In addition, the system architecture is further given, and the key 3D data-based acquisition module design is given. In addition, the system architecture is further given, and the basic 3D data acquisition unit design is given. In this document, the depth characteristics filtered by the Fourier Pyramid are fused to the bone characteristics, and the merged data is sorted based on the support engine, thus designing the action recognition unit. A hidden Markov model (HMM) human action recognition algorithm based on pose selection is proposed. This method uses two affine propagation (AP) clustering algorithms to cluster the features, automatically select the key posture of each action, and correspond to the hidden state of the HMM. These hidden state labels are used to initialize the parameters of the HMM to train the model, and the trained model is used to implement action classification. The result shows that the design in the article has a more accurate recognition result, which provides a powerful tool for the referee to score. Using the Fourier Pyramid filtering method, through a large number of health exercises for comparison, the ability to judge the degree of standard health exercises is significantly improved, the efficiency is increased by 25%, and the accuracy rate is increased by 15%.

Sport Science Lab® Screening Protocol: The association between physical fitness Parameters and injury among elite rugby players

Context and objectivesThe Sport Science Lab® (SSL®) screening protocol includes novel methods of assessing flexibility, strength, plyometric ability and rugby specific fitness. The objective of this study was to investigate the association between these tests and injury among professional rugby players. DesignProspective cohort study. SettingFitness facilities of participating teams. ParticipantsThirty-nine injury-free, elite, adult (>18 years), male rugby players. Main outcome measuresThe test battery consisted of eleven flexibility-, nine strength- and six plyometric tests and a rugby specific fitness test (RSFT). Injuries were recorded weekly during the 2019 rugby season. Associations between test results and injuries were analysed utilising suitable tests of association i.e., sensitivity, specificity, false positive rate, false negative rate, positive predictive value and negative predictive value and odds ratios (OR) (with confidence intervals (CI)). Bivariate correlations and logistic regression were performed to assess the relationship of the predictor variables to the outcome. ResultsPlayers who achieved the set standard for the RSFT (OR = 3.17; 95% CI = 0.79–12.75), triple horizontal broad jump (OR = 2.40; 95% CI = 0.86–19.61) and lateral depth jumps (OR = 2.40–3.44; 95% CI = 0.53–18.84) were two to three times less likely to sustain an injury during the season. ConclusionPlayers with superior rugby specific fitness and cyclic linear- and lateral plyometric ability, may have a decreased risk of sustaining injuries.

Does a Multicomponent Exercise Program Improve Physical Fitness in Older Adults? Findings From a 5-Year Longitudinal Study

The objective was to assess the physical fitness of older adults participating in a 5-year multicomponent exercise program. The sample consisted of 138 older adults aged 60-93years (70.4 ± 7.8years) evaluated with the Senior Fitness Test (muscle strength, flexibility, balance, and cardiorespiratory fitness). The multicomponent program was carried out between the months of March and November of each year. Data were analyzed using generalized estimating equations (factor year: Year 1, Year 2, Year 3, Year 4, and Year 5; factor time: pretest and posttest) with Bonferroni's post hoc test. Participation in the multicomponent exercise program for 5years (baseline pretest Year 1 and follow-up Year 5) improved lower and upper limb strength, lower limb flexibility, and balance and cardiorespiratory fitness, while upper limb flexibility was maintained. Year-by-year analysis revealed variable patterns for each fitness parameter. The results of this study show the potential benefits of implementing a long-term community-based exercise program.

Impact of Synchronous Online Physical Education Classes Using Tabata Training on Adolescents during COVID-19: A Randomized Controlled Study.

This study aimed to investigate the effects of online physical education classes, using Tabata training, on middle school students’ physical fitness. Fifty-four adolescents were randomly assigned to either the asynchronous online class group (AOCG, n = 24, age: 15.8 ± 0.4 years) or the synchronous online class group (SOCG, n = 24 age: 15.9 ± 0.3 years). The online physical education class lasted two days per week for 10 weeks. Recorded video lectures were conducted for the AOCG, and Tabata training for the SOCG, as real-time lecture methods. Baseline and post-online physical education class measures included muscular strength, muscular endurance, flexibility, balance, and cardiorespiratory fitness tests. The results showed that the synchronous online physical education class had a positive effect on the improvement of muscle mass, ankle strength (dorsiflexion), hip strength (abduction, flexion, extension, and external rotation), knee strength (extension and flexion), and balance (Y-balance test) in adolescents. These findings suggest that the physical fitness of adolescents can be sufficiently improved through appropriate online physical education class methods. Further research should focus on developing and evaluating different types of exercises for synchronous online physical education classes as a precautionary measure for the second wave of COVID-19.

Flexible Fitting of PROTAC Concentration-Response Curves with Changepoint Gaussian Processes.

A proteolysis-targeting chimera (PROTAC) is a new technology that marks proteins for degradation in a highly specific manner. During screening, PROTAC compounds are tested in concentration-response (CR) assays to determine their potency, and parameters such as the half-maximal degradation concentration (DC50) are estimated from the fitted CR curves. These parameters are used to rank compounds, with lower DC50 values indicating greater potency. However, PROTAC data often exhibit biphasic and polyphasic relationships, making standard sigmoidal CR models inappropriate. A common solution includes manual omitting of points (the so-called masking step), allowing standard models to be used on the reduced data sets. Due to its manual and subjective nature, masking becomes a costly and nonreproducible procedure. We therefore used a Bayesian changepoint Gaussian processes model that can flexibly fit both nonsigmoidal and sigmoidal CR curves without user input. Parameters such as the DC50, maximum effect Dmax, and point of departure (PoD) are estimated from the fitted curves. We then rank compounds based on one or more parameters and propagate the parameter uncertainty into the rankings, enabling us to confidently state if one compound is better than another. Hence, we used a flexible and automated procedure for PROTAC screening experiments. By minimizing subjective decisions, our approach reduces time and cost and ensures reproducibility of the compound-ranking procedure. The code and data are provided on GitHub (https://github.com/elizavetasemenova/gp_concentration_response).

1185The association between neighbourhood built environment and health-related fitness: A systematic review

Abstract Background Few studies have investigated potential links between the built environment and health-related fitness, even though there is some evidence linking neighbourhood built environments to physical activity behaviors and chronic health conditions. Methods Following PRISMA guidelines eight databases were searched from inception to August 2020 using a combination of built environment and health-related fitness terms. Inclusion criteria was limited to quantitative studies that sampled of adults aged 18 years or older with no physical disabilities or health issues that may impact health-related fitness. Results Of the 26,219 citations identified within our comprehensive search, 25 studies met eligibility and underwent data extraction and quality assessment. Objectively measured built environment characteristics (e.g., improved sidewalks, higher street connectivity, older neighbourhoods, higher residential density, and higher land use mix) were associated with increased flexibility, cardiorespiratory fitness, grip strength, and body composition. Moreover, perceptions of neighbourhood features such as higher neighbourhood walkability, greater park access and quality, and lower neighbourhood crime, were associated with increased perceived cardiorespiratory fitness, muscular strength, flexibility, and overall fitness. However, many of these findings were from cross-sectional studies where adjustment for key confounders varied. Results also varied by sex in the small number of studies that provided sex-specific stratifications. Conclusions This project may help elucidate the pathway between the built environment and health-related fitness. Key messages Neighbourhood built environment features are associated with aspects of health-related fitness.

Efficient Flexible Fitting Refinement with Automatic Error Fixing for De Novo Structure Modeling from Cryo-EM Density Maps

Structural modeling of proteins from cryo-electron microscopy (cryo-EM) density maps is one of the challenging issues in structural biology. De novo modeling combined with flexible fitting refinement (FFR) has been widely used to build a structure of new proteins. In de novo prediction, artificial conformations containing local structural errors such as chirality errors, cis peptide bonds, and ring penetrations are frequently generated and cannot be easily removed in the subsequent FFR. Moreover, refinement can be significantly suppressed due to the low mobility of atoms inside the protein. To overcome these problems, we propose an efficient scheme for FFR, in which the local structural errors are fixed first, followed by FFR using an iterative simulated annealing (SA) molecular dynamics protocol with the united atom (UA) model in an implicit solvent model; we call this scheme “SAUA-FFR”. The best model is selected from multiple flexible fitting runs with various biasing force constants to reduce overfitting. We apply our scheme to the decoys obtained from MAINMAST and demonstrate an improvement of the best model of eight selected proteins in terms of the root-mean-square deviation, MolProbity score, and RWplus score compared to the original scheme of MAINMAST. Fixing the local structural errors can enhance the formation of secondary structures, and the UA model enables progressive refinement compared to the all-atom model owing to its high mobility in the implicit solvent. The SAUA-FFR scheme realizes efficient and accurate protein structure modeling from medium-resolution maps with less overfitting.

Examining the Impact of a Mobile Health App on Functional Movement and Physical Fitness: Pilot Pragmatic Randomized Controlled Trial.

BackgroundNumerous mobile apps available for download are geared toward health and fitness; however, limited research has evaluated the real-world effectiveness of such apps. The movr app is a mobile health app designed to enhance physical functioning by prescribing functional movement training based on individualized movement assessments. The influence of the movr app on functional movement and physical fitness (flexibility, strength, and cardiovascular fitness) has not yet been established empirically.ObjectiveThis study aims to examine the real-world impact of the movr app on functional movement, flexibility, strength, and cardiovascular fitness.MethodsA total of 48 healthy adults (24 women and 24 men; mean age 24, SD 5 years) completed an 8-week pilot pragmatic randomized controlled trial in which they were randomly assigned to either 8-week use of the movr app (n=24) or 8-week waitlist control (n=24). Measures of functional movement (Functional Movement Screen [FMS]), strength (push-ups, handgrip strength, and countermovement jump), flexibility (shoulder flexibility, sit and reach, active straight leg raise [ASLR], and half-kneeling dorsiflexion), and cardiovascular fitness (maximal oxygen uptake []) were collected at baseline and the 8-week follow-up.ResultsRepeated measures analyses of variance revealed significant group-by-time interactions for the 100-point FMS (P<.001), shoulder flexibility (P=.01), ASLR (P=.001), half-kneeling dorsiflexion (P<.001), and push-up tests (P=.03). Pairwise comparisons showed that FMS scores increased from pre- to postintervention for those in the movr group (P<.001) and significantly decreased for those in the control group (P=.04). For shoulder flexibility, ASLR, half-kneeling dorsiflexion, and push-up tests, improvements from pre- to postintervention were found in the movr group (all values of P<.05) but not in the control group (all values of P>.05). There were no changes in the sit and reach or handgrip strength test scores for either group (all values of P>.05). A significant main effect of time was found for the countermovement jump (P=.02), such that scores decreased from pre- to postintervention in the control group (P=.02) but not in the movr group (P=.38). Finally, a significant group-by-time interaction was found for (P=.001), revealing that scores decreased pre- to postintervention in the control group (P<.001), but not in the movr group (P=.54).ConclusionsThe findings revealed that movr improved indices of functional movement (FMS), flexibility (shoulder, ASLR, and dorsiflexion), and muscular endurance (push-ups) over an 8-week period compared with the control group while maintaining handgrip strength, lower body power (countermovement jump), and cardiovascular fitness (). Thus, this study provides initial evidence of the effectiveness of the movr app for enhancing functional movement and physical fitness among healthy adults.Trial RegistrationClinicalTrials.gov NCT04865666; https://clinicaltrials.gov/ct2/show/NCT04865666

Physical Fitness of Rural Polish School Youth: Trends Between 1986 and 2016.

The objective of the study was to evaluate secular changes in the physical fitness of rural school youth, 7-15years, in west-central Poland between 1986 and 2016. The fitness of cross-sectional samples of school youth resident in the same 10 communities was evaluated in 4 decennial surveys: 1986-1417 boys/1326 girls; 1996-979 boys/947 girls; 2006-871 boys/843 girls; and 2016-1189 boys/1105 girls. Five tests evaluated speed (5-m run), agility (figure 8 run), explosive power (vertical jump), flexibility (stand and reach), and cardiovascular fitness (modified Harvard step test). Age- and sex-specific descriptive statistics were calculated by survey, while differences among surveys were compared in 3 broad age groups (7-9, 10-12, and 13-15y) using analysis of variance with age and age squared as covariates. Speed and flexibility declined, while the jump and step test index changed variably across surveys. Although agility improved across surveys, the major improvement occurred between 1986 and 1996. Performances of rural school youth on 5 tests of physical fitness changed significantly, but, variably, between 1986 and 2016. The results were generally consistent with other studies of Polish school youth that spanned a similar interval.

Estimation of Health-Related Physical Fitness Using Multiple Linear Regression in Korean Adults: National Fitness Award 2015-2019.

Continuous health care and the measurement of health-related physical fitness (HRPF) is necessary for prevention against chronic diseases; however, HRPF measurements including laboratory methods may not be practical for large populations owing to constraints such as time, cost, and the requirement for qualified technicians. This study aimed to develop a multiple linear regression model to estimate the HRPF of Korean adults, using easy-to-measure dependent variables, such as gender, age, body mass index, and percent body fat. The National Fitness Award datasets of South Korea were used in this analysis. The participants were aged 19–64 years, including 319,643 male and 147,600 females. HRPF included hand grip strength (HGS), flexibility (sit and reach), muscular endurance (sit-ups), and cardiorespiratory fitness (estimated VO2max). An estimation multiple linear regression model was developed using the stepwise technique. The outlier data in the multiple regression model was identified and removed when the absolute value of the studentized residual was ≥2. In the regression model, the coefficient of determination for HGS (adjusted R2: 0.870, P < 0.001), muscular endurance (adjusted R2: 0.751, P < 0.001), and cardiorespiratory fitness (adjusted R2: 0.885, P < 0.001) were significantly high. However, the coefficient of determination for flexibility was low (adjusted R2: 0.298, P < 0.001). Our findings suggest that easy-to-measure dependent variables can predict HGS, muscular endurance, and cardiorespiratory fitness in adults. The prediction equation will allow coaches, athletes, healthcare professionals, researchers, and the general public to better estimate the expected HRPF.

Supply chain flexibility fit and green practices: evidence from the event industry

PurposeAs the event industry is supported by a wide range of suppliers that provide different products and services, all these partners in the supply chain can play a crucial role in green practices. The industry needs to have a sufficient degree of supply chain flexibility to cater to the demands in today’s dynamic environment and the flexibility in the supply chain will help event businesses to be sustainable. This study aims to explore the role of the supply chain flexibility fit between event planner’s requirements and supplier offerings on the implementation of green practices. The study also attempted to provide insights into the adoption of green event practices by identifying the moderating roles of green organization image and public pressure.Design/methodology/approachData analysis was conducted based on 207 useable responses from event planners. Polynomial regression and response surface analysis were performed to verify the hypothesized relationships. Additionally, hierarchical regression analysis was used to test the moderating effects of green organization image and public pressure on the proposed relationships.FindingsResults revealed that product flexibility fit was positively related to green practices; however, such effect was not found in the volume flexibility fit model. Findings also showed that public pressure significantly improved the positive effect of product flexibility fit on green practices. However, the green organization image was found to have no significant moderating effect.Practical implicationsThe adoption of green practices requires well-designed collaboration among supply chain partners. This study offers empirical evidence regarding the importance of achieving product flexibility fit between event planners’ requirements and supplier offerings when conducting green practices. The findings provide useful implications that can be applied for successful green event management.Originality/valueDespite the significance and relevance of the topic, barely any study has been conducted to assess supply chain flexibility and its relationship with green event practices. The study adopted resource orchestration theory to examine the role of supply chain flexibility on green event practices by focusing on the planner-supplier flexibility fit. A number of implications regarding supply chain management and future research are identified.

Predicting Health‐Related Physical Fitness in Healthy Korean Adults: National Fitness Award 2015‐2019

Introduction Technological advances in sports science have provided athletes, coaches, and researchers with economic, efficient, and reliable means to record health-related data through wearable devices worn on the wrist. The connected gains of novel analytical techniques, reliable and portable devices, and comprehensive software programs suggest that health promotion research will increase in the future. This study examined developing a multiple linear regression model to estimate health-related physical fitness using easy-to-measure dependent variables in healthy Korean adults. Methods The dependent variables (e.g., sex, age, body mass index, and percent body fat) were measured in healthy Korean adults (total n = 319,643; male n = 147,600; female n = 172,043) for estimating health-related physical fitness. Health-related physical fitness includes grip strength, flexibility (sit and reach), muscle endurance (sit-ups), and cardiorespiratory fitness (VO2max). The health-related physical fitness estimation multiple linear regression model was developed using the stepwise technique. In addition, we rigorously conformed to the basic assumptions of the regression model: linearity, independence, continuity, normality, homoscedasticity, autocorrelation, and outliers. The outlier data in the multiple regression model were identified and deleted when the absolute value of the studentized residual was ≥ 2. Results The regression model's coefficient of determination for the grip strength (adjusted R2: 0.870), muscle endurance (adjusted R2: 0.751), and cardiorespiratory fitness (adjusted R2: 0.885) was significantly high. However, the coefficient of determination of the regression model for the flexibility was low (adjusted R2: 0.298). The multiple regression model was developed using sex, age, body mass index, and percent body fat to estimate the health-related physical fitness in healthy Korean adults. The coefficient of determination of grip strength, muscle endurance, and cardiorespiratory fitness in the developed multiple regression models was shown to be very high. Conclusion Our findings suggest that easy-to-measure dependent variables predict grip strength, muscle endurance, and cardiorespiratory fitness in a healthy adult.

Adaptive energy management of a battery-supercapacitor energy storage system for electric vehicles based on flexible perception and neural network fitting

The hybrid energy storage system (HESS) composed of batteries and supercapacitors (SCs) is a dual energy storage technology that can compensate for the shortcomings of a single energy storage technology acting alone. The energy management of HESS splits the power and energy demands from the electric vehicle (EV) to the battery and SC and thus is vital to EV propulsion. This paper presents an online energy management strategy (EMS) that optimises the operating costs of battery-SC HESS and can be adaptive to real-time EV driving conditions. We analyse the optimal offline benchmarks to guide online EMS design and propose the adaptive online EMS with variable perception horizon based on both neural network and rule-based techniques. Compared with existing research, the proposed EMS features reduced complexity, flexible perception and intelligent rulemaking. Case study results show that the proposed variable perception horizon and neural network fitting can improve EMS optimality compared with the conventional methods in existing research. The proposed EMS can realise more than 97% cost optimisation efficacy of offline benchmarks. By the proposed EMS, this paper is expected to provide a practical and effective energy management approach for the battery-SC HESS to reduce costs in EV applications.

A robust model for flux density calculations of radio halos in galaxy clusters: Halo-FDCA

Here we present Halo-FDCA, a robust open source Python package for modeling and estimating total flux densities of radio (mini) halos in galaxy clusters. Radio halos are extended ( ~200 - 1500 kpc in size) synchrotron emitting sources found in galaxy clusters that trace the presence of cosmic rays and magnetic fields in the intracluster medium (ICM). These sources are centrally located and have a low surface brightness. Their exact origin is still unknown but they are likely related to cosmic rays being re-accelerated in-situ by merger or sloshing driven ICM turbulence. The presented algorithm combines the numerical power of the Markov Chain Monte Carlo routine and multiple theoretical models to estimate the total radio flux density of a radio halo from a radio image and its associated uncertainty. This method introduces a flexible analytic fitting procedure to replace existing simplistic manual measurements prone to biases and inaccuracies. It allows to easily determine the properties of the emission and is particularly suitable for future studies of large samples of clusters.

Nonlinear dimension reduction for conditional quantiles

In practice, data often display heteroscedasticity, making quantile regression (QR) a more appropriate methodology. Modeling the data, while maintaining a flexible nonparametric fitting, requires smoothing over a high-dimensional space which might not be feasible when the number of the predictor variables is large. This problem makes necessary the use of dimension reduction techniques for conditional quantiles, which focus on extracting linear combinations of the predictor variables without losing any information about the conditional quantile. However, nonlinear features can achieve greater dimension reduction. We, therefore, present the first nonlinear extension of the linear algorithm for estimating the central quantile subspace (CQS) using kernel data. First, we describe the feature CQS within the framework of reproducing kernel Hilbert space, and second, we illustrate its performance through simulation examples and real data applications. Specifically, we emphasize on visualizing various aspects of the data structure using the first two feature extractors, and we highlight the ability to combine the proposed algorithm with classification and regression linear algorithms. The results show that the feature CQS is an effective kernel tool for performing nonlinear dimension reduction for conditional quantiles.

Multi-Scale Flexible Fitting of Proteins to Cryo-EM Density Maps at Medium Resolution

Structure determination using cryo-electron microscopy (cryo-EM) medium-resolution density maps is often facilitated by flexible fitting. Avoiding overfitting, adjusting force constants driving the structure to the density map, and emulating complex conformational transitions are major concerns in the fitting. To address them, we develop a new method based on a three-step multi-scale protocol. First, flexible fitting molecular dynamics (MD) simulations with coarse-grained structure-based force field and replica-exchange scheme between different force constants replicas are performed. Second, fitted Cα atom positions guide the all-atom structure in targeted MD. Finally, the all-atom flexible fitting refinement in implicit solvent adjusts the positions of the side chains in the density map. Final models obtained via the multi-scale protocol are significantly better resolved and more reliable in comparison with long all-atom flexible fitting simulations. The protocol is useful for multi-domain systems with intricate structural transitions as it preserves the secondary structure of single domains.

A New Extended Generalized Inverse Exponential Distribution: Properties and Applications

The quest by researchers in the area of distribution theory in proposing new models with greater flexibility has filled literature. On this note, we proposed a new distribution called the new extended generalized inverse exponential distribution with five positive parameters, which extends and generalizes the extended generalized inverse exponential distribution. We derive some mathematical properties of the proposed model including explicit expressions for the quantile function, moments, generating function, survival, hazard rate, reversed hazard rate, cumulative hazard rate function and odds functions. The method of maximum likelihood is used to estimate the parameters of the distribution. We illustrate its potentiality with applications to three real life data sets which show that the new extended generalized inverse exponential model provides greater flexibility and better fit than other competing models considered.

Excess adiposity and low physical fitness hamper Supine-to-Stand test performance among sedentary adolescents

ObjectiveThe aim of this study was to analyze the relationship between body adiposity and physical fitness with performance in the Supine-to-Stand test (STS-test) in sedentary adolescents. MethodsSixty-two adolescents, of both sexes, between 10 and 16 years old, participated in the study. Body mass (BM), height, waist circumference (WC), fat mass (FM), fat-free mass (FFM), right and left handgrip strength (HGS-right, HGS-left), abdominal resistance (ABDO), flexibility (FLEX), and cardiorespiratory fitness (VO2peak) were measured. Body mass index (BMI), z-score BMI (BMI-z), tri-ponderal mass index (TMI) and waist-to-height ratio (WHtR) were calculated. The STS-test was applied to evaluate the STS-MC by the movement patterns in the execution of the test. The STS-time in seconds (s) was categorized into terciles: fast (FG < 2.0 s), intermediate (IG = 2.0–2.6 s) and slow (SG > 2.6 s). One-way ANOVA, Chi-square, Spearman's correlation coefficient as well as non-parametric tests were used, with significance p ≤ 0.05. ResultsThe SG presented higher BMI, BMI-z, TMI, WHtR, FM, %FM, as well as lower averages for %FFM, HGS-right, HGS-left, FLEX, ABDO, VO2peak, VO2peak relative to BM (VO2peakBM) in relation to GF. The BMI, BMI-z, TMI, WC, WHtR and FM showed moderate and direct correlations with STS-time and inverse with STS-MC (p < 0.01). HGS-right, HGS-left, ABDO, and VO2peakBM showed moderate and an inverse correlation with STS-time (p < 0.05). The VO2peakBM was moderate and with direct correlations to STS-MC (p < 0.01). ConclusionIt is concluded that excess fat and low physical fitness hamper STS-test performance. Therefore, the STS-test can be used for screening students to assess MC.