Postural Assessment Research Articles

Postural Control Deficits During Static Single-leg Stance in Chronic Ankle Instability: A Systematic Review and Meta-Analysis.

Postural control deficits arising from injured ankles are central to chronic ankle instability (CAI) and its persistent symptoms. This is usually measured by recording the center of pressure (CoP) trajectory during static single-leg stance using a stable force plate. However, existing studies have produced conflicting results on whether this mode of measurement adequately reveals the postural deficits in CAI. To determine whether postural control during static single-leg stance is impaired in CAI patients when compared with uninjured healthy controls. Literature databases, PubMed, Embase, Web of Science, Cochrane Library, Scopus, CINAHL, and SPORTDiscus, were searched from inception to April 1, 2022, using ankle-, injury-, and posture-related terms. Two authors independently performed the step-by-step screening of article titles, abstracts, and full texts to select peer-reviewed studies investigating CoP trajectory during static single-leg stance using a stable force plate in CAI patients and healthy controls. A total of 13,637 studies were reviewed, and 38 studies (0.003%) met the selection criteria. Meta-analyses of descriptive epidemiological study. Level 4. CoP parameters, sway directions, visual condition, and numerical data (means and standard deviations) were extracted. The injured ankles of CAI patients had higher standard deviations of sway amplitude in both anterior-posterior and medial-lateral directions (standardized mean difference [SMD] = 0.36 and 0.31, respectively) under conditions of open eyes than controls. Higher mean sway velocity in anterior-posterior, medial-lateral, and total directions (SMD = 0.41, 0.37, and 0.45, respectively) with closed eyes was also found. CAI patients had deficits of postural control during static single-leg stance, and these deficits were identified by the CoP trajectory. Further methodological explorations of CoP parameters and corresponding test conditions are required to enhance the sensitivity and reliability of postural deficit assessments in CAI using force plates.

A Multidimensional Human Health State Portrayal System Based on Stress Footprint Images

In recent years, due to the accelerated pace of life and increased life stress, more and more people are stepping into subhealthy state, which has caused widespread concern in the society. This project aims to analyze the footprint stress image, extract some of the footprint characteristic values from it, use the multi-dimensional health indices such as BMI, Broca's formula, body fat percentage to assess the human health level, analyze the user's physical health to output data, including height, weight, BMI, standard weight, body fat percentage, body posture assessment, in order to provide some implications for the field of health detection through footprint pressure images.

Reference Values for Sagittal Clinical Posture Assessment in People Aged 10 to 69 Years

Poor posture is a well-known problem in all age groups and can lead to back pain, which in turn can result in high socio-economic costs. Regular assessment of posture can therefore help to identify postural deficits at an early stage in order to take preventive measures and can therefore be an important tool for promoting public health. We measured the posture of 1127 symptom-free subjects aged 10 to 69 years using stereophotogrammetry and determined the sagittal posture parameters flèche cervicale (FC), flèche lombaire (FL), and kyphosis index (KI) as well as the values standardized to the trunk height (FC%, FL%, KI%). FC, FC%, KI, and KI% showed an increase with age in men but not in women, and a difference between the sexes. FL remained largely constant with age, although FL% had significantly greater values in women than men. Postural parameters correlated only moderately or weakly with body mass index. Reference values were determined for different age groups and for both sexes. Since the parameters analyzed can also be determined by simple and non-instrumental methods in medical office, they are suitable for performing preventive checks in daily medical or therapeutic practice.

Effects of Pilates exercises on idiopathic scoliosis: a scoping review of the literature.

Scoliosis is a deformity involving changes in three planes. These changes include lateral curvature in the frontal plane, changes in physiological thoracic kyphosis and lumbar lordosis angles in the sagittal plane, and rotation of the vertebrae in the transverse plane. The aim of this scoping review was to review and summarize the available literature to determine whether Pilates exercises are an effective treatment for scoliosis. The Cochrane Library (reviews, protocols, trials), PubMed, Web of Science, Ovid, Scopus, PEDro, Medline, CINAHL (EBSCO), ProQuest, and Google Scholar electronic databases were used to search for published articles from inception to February 2022. All the searches included English language studies. Keywords were determined as "scoliosis and Pilates" or "idiopathic scoliosis and Pilates", "curve and Pilates", "spinal deformity and Pilates." Seven studies were included; one study was a meta-analysis study, three studies compared Pilates and Schroth exercises, and three applied Pilates exercises in combined therapy. The studies included in this review used outcome measurements of Cobb angle, ATR, chest expansion, SRS-22r, posture assessment, weight distribution, and psychological factors such as depression. The results of this review suggest that the level of evidence regarding the effect of Pilates exercises on scoliosis-related deformity is very limited. Pilates exercises can be applied to reduce asymmetrical posture in individuals with mild scoliosis with reduced growth potential and progression risk.

Continuous assessment of trunk posture in healthcare workers assigned to wards with different MAPO index

Healthcare professionals generally experience an above-average incidence of low back disorders (LBDs) compared with workers of other professions, and its level of risk is commonly assessed using observational methods such as the MAPO method (Movement and Assistance of Hospital Patients). In this study, we continuously monitored the trunk posture of 30 healthcare workers using a single inertial sensor to: (1) understand whether the MAPO classification is effective in adequately discriminating the risk associated with the time spent in non-neutral trunk postures and (2) characterise the variability of biomechanical exposure among workers employed in wards with the same MAPO index. The results substantially confirm the validity of the MAPO approach in discriminating among wards characterised by different levels of biomechanical exposure associated with the risk of developing LBDs. However, they also highlight the need to assess workers’ exposure on an individual basis due to the high intra-group variability. Practitioner summary: Employing a quantitative measurement setup to monitor trunk posture along with an observational method (ie MAPO) can identify the existence of criticalities or the poor application of ergonomic recommendations given during the training of healthcare workers even in hospital wards characterised by little or no risk of developing low back disorders.

Deep Learning-Based Yoga Posture Recognition Using the Y_PN-MSSD Model for Yoga Practitioners.

In today's digital world, and in light of the growing pandemic, many yoga instructors opt to teach online. However, even after learning or being trained by the best sources available, such as videos, blogs, journals, or essays, there is no live tracking available to the user to see if he or she is holding poses appropriately, which can lead to body posture issues and health issues later in life. Existing technology can assist in this regard; however, beginner-level yoga practitioners have no means of knowing whether their position is good or poor without the instructor's help. As a result, the automatic assessment of yoga postures is proposed for yoga posture recognition, which can alert practitioners by using the Y_PN-MSSD model, in which Pose-Net and Mobile-Net SSD (together named as TFlite Movenet) play a major role. The Pose-Net layer takes care of the feature point detection, while the mobile-net SSD layer performs human detection in each frame. The model is categorized into three stages. Initially, there is the data collection/preparation stage, where the yoga postures are captured from four users as well as an open-source dataset with seven yoga poses. Then, by using these collected data, the model undergoes training where the feature extraction takes place by connecting key points of the human body. Finally, the yoga posture is recognized and the model assists the user through yoga poses by live-tracking them, as well as correcting them on the fly with 99.88% accuracy. Comparatively, this model outperforms the performance of the Pose-Net CNN model. As a result, the model can be used as a starting point for creating a system that will help humans practice yoga with the help of a clever, inexpensive, and impressive virtual yoga trainer.

Working Posture and the Center of Mass Assessment While Starting a Chainsaw: A Case Study among Forestry Workers in Croatia

Motor-manual work with a chainsaw is still an irreplaceable occupational activity in forest harvesting operations in Croatia and in many other countries. Chainsaw workers are exposed to different risk factors, such as noise and vibrations, heavy load lifting, awkward and preflexion postures, repetitive movements, etc. The working posture and the assessment of the center of mass plays an important role in understanding the exposure of forest workers to postural and occupational risks, either as a part of the entire work process or as a part of an individual element of the work technique. Therefore, the aim of this research was to investigate the impact of three different chainsaw starting methods (from the ground, between the knees, and “drop starting”) on the postural load of the chainsaw worker and its association with personal and occupational factors. The field portion of data collection was conducted in the second and third quarters of 2022. For trunk posture assessment (n = 74), the rapid entire body assessment (REBA) tool was used, and for the center of mass measurement (n = 28), the Xsens MVN Link motion capture suit was used, a relatively new technology that allows data collection in real field conditions. Descriptive and inferential statistical methods were used to verify and analyze the field data. Based on the obtained results, almost 50% of the sampled chainsaw workers ignored safety instructions and preferred “drop starting” a chainsaw. The results also showed that there is a significant difference between the three starting methods in the REBA score, as well as in the number of segments scored during the assessment. The obtained mean REBA score for all three methods is between 4 and 7, placing all methods at a medium level of MSD risk. Regarding the analysis of the Center of Mass (CoM) vertical deviation, the statistical difference is noticeable for the body mass index (BMI) group, the group related to experience with the chainsaw, and the age and height group in relation to three methods for starting a chainsaw. The safest method, which implies starting a chainsaw from the ground, resulted also as the riskiest in terms of postural strain, which, cumulatively over the time variable, can contribute to health problems in forest workers. In conclusion, related to the future process of professional training development for chainsaw workers, an integral part of the training must contain the most optimal postural-movement habits that need to be defined by further kinematic research in forestry.

Assessment of Forward Head Posture and Ergonomics in Young IT Professionals - Reasons to Worry?

Prolonged computer use and poor ergonomics among IT professionals are considered risk factors for musculoskeletal disorders. This research aims to analyze the degree of forward head posture and workplace ergonomics in young IT professionals to assess the risk for a neck disability.Methods:A prospective study was carried out by assessing the sitting posture at work, neck disability in the cervical region, quality of life, physical activity, and ergonomics of the workspace in 73 young IT professionals (32.56±5.46 years).Results:The score for the cervical functional disability index (NDI) showed a mild neck disability (8.19±7.51). The craniovertebral angle has an average value of 32.01±11.46, corresponding to a light forward head posture, and it positively correlated with age and work experience and negatively correlated with ROSA (r=0.24, p<0.05). The NDI positively correlated with physical activity (r =00.32 p<0.05) and with ROSA (r= 0.24, p<0.05).Conclusions:In IT professionals, neck disability is associated with the lack of workspace ergonomics and the amount of physical activity. Forward head posture correlated with age, work experience, and poor workspace ergonomics. According to our findings, there are real concerns about the influence of head posture and workplace ergonomics on health among IT professionals. We consider that it is necessary to adopt preventive measures to address neck disability and improve workspace ergonomics.

Physical activity, sitting time, neck disability and posture in workers using visual display terminals (VDT).

Musculoskeletal pain represents a major public health problem. Workers who use visual display terminals (VDT) have suffered an increase in neck pain in recent decades. The aim of this study was to analyze the relationship between physical activity (PA), sitting time, posture, and neck disability in a population of employed adults who use a computer at work. In this descriptive-correlational study, 88 workers with a mean age of 48.31 years participated. All of the participants filled out the Self-Report Habit Index (SRHI), International Physical Activity Questionnaire (IPAQ), and Neck Disability Index (NDI). The postural situation was also assessed with Posture Assessment Software (PAS/SAPO). A significant and inverse relationship was observed between the habit of PA practice and the Body Mass Index (BMI). A total of 59.1% of the participants have a moderate PA index. There was a statistically significant relationship between the NDI and the time that workers spend sitting in a workday. A significance level of p≤0.05 was established for all the statistical analyses. The increase in sitting time produces an increase in neck disability among workers and there are no significant differences between the level of PA and the cervical angles analyzed. The promotion of leisure-time PA and the reduction of prolonged uninterrupted sitting time at work could be one of the means to reduce musculoskeletal morbidity in the working population.

Sensory Interaction Balance and Limits of Stability in Neck Pain: Comparison of Traumatic and Non-traumatic Patients

Background and Purpose: A variety of sensory-motor changes are reported in both the traumatic and non-traumatic neck pain. However, it is still unclear whether there is a significant difference between individuals with traumatic neck pain and those with non-traumatic in terms of postural control. The aim of this cross-sectional study was to investigate whether there was a difference between individuals with traumatic pain and non-traumatic neck pain in terms of postural control and disability. &#x0D; Methods: Ninety-two patients with chronic neck pain were grouped according to the onset of pain. Clinical test of sensory interaction balance (CTSIB) and limits of stability (LOS) test were used for postural control assessment. The Numeric Rating Scale and Neck Pain Disability Index (NPDI) were used to measure pain intensity and disability, respectively. Mann-Whitney U test was used to compare groups. &#x0D; Results: There were no significant differences between groups in terms of LOS, CTSIB and NPDI scores (p &gt; 0.05). &#x0D; Conclusion: The results of this study suggest that postural control and disability do not differ between patients with traumatic and non-traumatic neck pain. Therefore, from a clinical perspective, postural control and disability should be evaluated without considering trauma history in patients with neck pain.

Three-Dimensional Mesh Recovery from Common 2-Dimensional Pictures for Automated Assessment of Body Posture in Camptocormia.

Three-dimensional (3D) human body estimation from common photographs is an evolving method in the field of computer vision. It has not yet been evaluated on postural disorders. We generated 3D models from 2-dimensional pictures of camptocormia patients to measure the bending angle of the trunk according to recommendations in the literature. We used the Part Attention Regressor algorithm to generate 3D models from photographs of camptocormia patients' posture and validated the resulting angles against the gold standard. A total of 2 virtual human models with camptocormia were generated to evaluate the performance depending on the camera angle. The bending angle assessment using the 3D mesh correlated highly with the gold standard (R=0.97, P < 0.05) and is robust to deviations of the camera angle. The generation of 3D models offers a new method for assessing postural disorders. It is automated and robust to nonperfect pictures, and the result offers a comprehensive analysis beyond the bending angle.

Is There a Correlation between Dental Occlusion, Postural Stability and Selected Gait Parameters in Adults?

There is still an ongoing debate about the role of the craniomandibular system, including occlusal conditions, on postural stability. This study aims to assess the role of antero-posterior malocclusion on postural control and plantar pressure distribution during standing and walking. 90 healthy volunteers (aged 19 to 35) were qualified for the study. The subjects were assigned to three groups, depending on the occlusion type. Each group (Angle Class I, II and III) consisted of 30 people. The research procedure included a clinical occlusal assessment performed by a dentist. Postural control measurements were carried out using a force platform by measuring plantar pressure distribution during standing (six trials with and without visual control) and walking test conditions. The tendency to shift the CoP forward is demonstrated by Angle Class II subjects and backwards by Class I and III subjects (p &lt; 0.001). Individuals with a malocclusion demonstrated significantly higher selected stabilographic parameters while standing on both feet (with eyes open and closed) and during the single-leg test with eyes open (p &lt; 0.05). The analysis of the dynamic test results showed no significant correlations between Angle Classes and the selected gait parameters. Analyses conducted among individuals with malocclusions showed the impact of occlusion on static postural stability. In order to diagnose and effectively treat malocclusion, a multidisciplinary approach with the participation of dentists and physiotherapy specialists is necessary, with the use of stabilometric and kinematic posture assessments.

Balance assessment tools and their psychometric properties among individuals post-stroke: a systematic review

Background and purpose Balance assessment following stroke is a significant part of the rehabilitation program. The Berg Balance Scale (BBS), the Postural Assessment Scale for Stroke (PASS) and the Balance Evaluation Systems Test (BESTest) are multi-item balance scales commonly used for assessing balance for people post-stroke. The purpose of our systematic review is to identify and appraise the literature on the psychometric properties of these balance measures (BBS, PASS and BESTest) in studies involving people post-stroke. Methods A comprehensive electronic literature search was performed in five databases PubMed, CINAHL, Embase, Scopus and Web of Science; in addition to hand searching of relevant references. Two independent reviewers screened the literature search results to include studies that were: written in the English language and published in peer-reviewed journals; participants were adults (>18 years) and had a diagnosis of stroke; Balance of participants was assessed using one (or more) of the following measures: BBS, PASS, BESTest or a shortened version of these measures; and the study reported at least one psychometric property for the balance measure. Two independent reviewers extracted the data using a standardized form. Quality of included studies was assessed using a critical appraisal tool. Results A total of 65 studies met our inclusion criteria and were included in our review. The majority of studies reported on the psychometric properties of the BBS, followed by the PASS and then the BESTest. Results of the critical appraisal scale showed that the overall quality of studies was good. A variety of psychometric properties were reported, with validity being the most reported property followed by reliability. Discussion The BBS, BESTest and PASS and their variants show overall excellent psychometric properties when used among people post-stroke. However, further research is needed to investigate the responsiveness of these measures following rehabilitation programs.

Is low-cost motion capture with artificial intelligence applicable for human working posture risk assessment during manual material handling? A pilot study.

Assessing working posture risks is important for occupational safety and health. However, low-cost assessment techniques for human motion injuries in the logistics delivery industry have rarely been reported. To propose a novel approach for posture risk assessment using low-cost motion capture with artificial intelligence. A Kinect was adopted to obtain red-green-blue (RGB) and depth images of the subject with 24 postures, and the human joints were extracted using artificial intelligence. The images were registered to obtain the actual three-dimensional (3D) human joint angle. The root mean square error (RMSE) significantly decreased. Finally, two common methods for evaluating human working posture injuries-the Rapid Upper Limb Assessment and Ovako Working Posture Analysis System-were investigated. The outputs of the proposed method are consistent with those of the commercial ergonomic evaluation software.

Predicting Wrist Posture during Occupational Tasks Using Inertial Sensors and Convolutional Neural Networks.

Current methods for ergonomic assessment often use video-analysis to estimate wrist postures during occupational tasks. Wearable sensing and machine learning have the potential to automate this tedious task, and in doing so greatly extend the amount of data available to clinicians and researchers. A method of predicting wrist posture from inertial measurement units placed on the wrist and hand via a deep convolutional neural network has been developed. This study has quantified the accuracy and reliability of the postures predicted by this system relative to the gold standard of optoelectronic motion capture. Ten participants performed 3 different simulated occupational tasks on 2 occasions while wearing inertial measurement units on the hand and wrist. Data from the occupational task recordings were used to train a convolutional neural network classifier to estimate wrist posture in flexion/extension, and radial/ulnar deviation. The model was trained and tested in a leave-one-out cross validation format. Agreement between the proposed system and optoelectronic motion capture was 65% with κ = 0.41 in flexion/extension and 60% with κ = 0.48 in radial/ulnar deviation. The proposed system can predict wrist posture in flexion/extension and radial/ulnar deviation with accuracy and reliability congruent with published values for human estimators. This system can estimate wrist posture during occupational tasks in a small fraction of the time it takes a human to perform the same task. This offers opportunity to expand the capabilities of practitioners by eliminating the tedium of manual postural assessment.

Evolution of postural control assessment: From dynamic posturography to virtual reality.

During the early years of spaceflight it was documented that astronauts were impaired and incapacitated upon return to earth. Computerized Dynamic Posturography (CDP) was devised to investigate and quantify this deficit, and eventually progressed into a clinical assessment tool. The current sprouting of virtual reality (VR) technologies has allowed for the development of an alternative approach that could be more informative. Many low-cost VR systems (including desktop gaming programs designed for rehabilitation) are now available. Continued improvements in this technology indicate a high probability that VR will become an integral component of posturography by replacing present mechanical CDP techniques. We researched the relevant literature to evaluate the strengths and weaknesses of CDP using the Equitest (Neurocom International; Clackamas USA), and the added benefits of incorporating VR to help clinicians assess the complex task of balance maintenance. VR is capable of manipulating task and environmental demands in order to assess functional postural behavior. VR is also a useful tool for clinical testing of postural disorders resulting from sensory mismatch. Although posturography is still a useful clinical tool, VR provides an inherent conflict between the visual and vestibular senses and can elevate the effectiveness of CDP for both assessment and intervention. We conclude that, when initially developed, CDP was innovative and ahead of its time. However, with the advent of VR, we have a chance to modernize CDP and enhance its value as a clinical instrument.

Assessment of thoracic spinal curvatures in static postures using spatially tracked 3D ultrasound volumes: a proof-of-concept study

The assessment of spinal posture is a difficult endeavour given the lack of identifiable bony landmarks for placement of skin markers. Moreover, potentially significant soft tissue artefacts along the spine further affect the accuracy of marker-based approaches. The objective of this proof-of-concept study was to develop an experimental framework to assess spinal postures by using three-dimensional (3D) ultrasound (US) imaging. A phantom spine model immersed in water was scanned using 3D US in a neutral and two curved postures mimicking a forward flexion in the sagittal plane while the US probe was localised by three electromagnetic tracking sensors attached to the probe head. The obtained anatomical ‘coarse’ registrations were further refined using an automatic registration algorithm and validated by an experienced sonographer. Spinal landmarks were selected in the US images and validated against magnetic resonance imaging data of the same phantom through image registration. Their position was then related to the location of the tracking sensors identified in the acquired US volumes, enabling the localisation of landmarks in the global coordinate system of the tracking device. Results of this study show that localised 3D US enables US-based anatomical reconstructions comparable to clinical standards and the identification of spinal landmarks in different postures of the spine. The accuracy in sensor identification was 0.49 mm on average while the intra- and inter-observer reliability in sensor identification was strongly correlated with a maximum deviation of 0.8 mm. Mapping of landmarks had a small relative distance error of 0.21 mm (SD = ± 0.16) on average. This study implies that localised 3D US holds the potential for the assessment of full spinal posture by accurately and non-invasively localising vertebrae in space.

Community-based postural control assessment in autistic individuals indicates a similar but delayed trajectory compared to neurotypical individuals.

Autistic individuals exhibit significant sensorimotor differences. Postural stability and control are foundational motor skills for successfully performing many activities of daily living. In neurotypical development, postural stability and control develop throughout childhood and adolescence. In autistic development, previous studies have focused primarily on individual age groups (e.g., childhood, adolescence, adulthood) or only controlled for age using age-matching. Here, we examined the age trajectories of postural stability and control in autism from childhood through adolescents using standardized clinical assessments. In study 1, we tested the postural stability of autistic (n=27) and neurotypical (n=41) children, adolescents, and young adults aged 7-20 years during quiet standing on a force plate in three visual conditions: eyes open (EO), eyes closed (EC), and eyes open with the head in a translucent dome (Dome). Postural sway variability decreased as age increased for both groups, but autistic participants showed greater variability than neurotypical participants across age. In study 2, we tested autistic (n=21) and neurotypical (n=32) children and adolescents aged 7-16 years during a dynamic postural control task with nine targets. Postural control efficiency increased as age increased for both groups, but autistic participants were less efficient compared to neurotypical participants across age. Together, these results indicate that autistic individuals have a similar age trajectory for postural stability and control compared to neurotypical individuals, but have lower postural stability and control overall.

INITIAL EVALUATION OF A REAL-TIME ERGONOMIC POSTURE ASSESSMENT SYSTEM IN LAPAROSCOPIC SURGERY

Abstract Introduction The objective of this study is to perform an initial evaluation of a system for assessment and visual feedback of the surgeon's posture during laparoscopic practice. Methods In order to monitor the surgeon's posture, we used the XSens motion tracking system. The neck, shoulder, elbow, and wrist joints were analyzed during laparoscopic practice. A visual feedback method was designed using Unity3D which indicates in real time if any of the analyzed joints suffers from an inadequate posture, allowing for its possible correction. The system was evaluated with a group of seven novice laparoscopic surgeons who performed several repetitions of two basic training tasks (eye-hand coordination and transfer). The participants were randomly organized into group A (4 subjects), who received visual feedback, and group B (3 subjects), as a control group. Results Regarding the coordination task, group A exhibited lower ergonomically inappropriate posture time for the left shoulder and elbow, being significant for the left shoulder posture. Similarly, this group showed a positive evolution during the training process for the different joints. Regarding the transfer task, both groups presented a positive evolution. Conclusions Preliminary results show that the presented method allows novice surgeons to improve their posture during laparoscopic practice. The use of the non-dominant hand and the complexity of the task seem to be conditioning aspects in the surgeon's ergonomics.

Aerobic Capacity in Relation to Selected Elements of Body Posture.

In the 21st century, with the rapid development of many human life areas, physical activity should be prevalent in health maintenance and promotion. Body posture is a motor habit characteristic of every individual. Its correctness depends on numerous aspects, e.g., physical activity, age, mental state, or eating habits. There are numerous reports in the literature on the impact of physical activity on body posture, correct foot arch development, and the level of aerobic capacity in children and adolescents, but there is a noticeable lack of assessments of these characteristics and their correlations in adults. To evaluate aerobic capacity in males and females in relation to selected body posture elements. The study involved 45 females and 46 males aged 20-21 years. The inclusion criteria involved declared good health and no contraindications. Selected somatic traits, body posture, and physical capacity indicators were determined. Physical capacity shows a significant relationship with body mass in both sexes (female: r = -0.346; p = 0.020; male: r = -0.321; p = 0.030). A significant correlation was observed between aerobic capacity and lean body mass in females (r = -0.428; p = 0.003) and body mass (r = -0.461; p = 0.001) and body fat percentage in males (r = -0.443; p = 0.002). A significant correlation was demonstrated between maximal oxygen uptake and Clarke's angle (r = -0.300; p = 0.045) in females, between maximal oxygen uptake and the loaded area of the right foot (r = -0.247; p = 0.098) in the male group, and between maximal oxygen uptake and spine lateral deviation (r = 0.352; p = 0.018) in females. There was no dimorphism between body posture elements and physical capacity except for the level of foot longitudinal arches, feet loading surface, spine lateral deviation, and the range of spine mobility in the sagittal and frontal planes. Aerobic capacity significantly influenced lean body mass (β = -0.379; p = 0.007) and spine deviation from the anatomical axis in the frontal plane in females (β = 0.287; p = 0.039) and body fat percentage in males (β = -0.443; p = 0.002). Selected body posture elements demonstrate relationships with physical capacity in both sexes. The results should find wide practical applications, e.g., in promoting a comprehensive assessment of body posture and physical capacity as determinants of health maintenance.