Frontiers in Sports and Active Living

PurposeThe para-cycling classification system aims to minimize the impact of impairments on competition outcomes with the help of scientific evidence. This study investigated the impact of unilateral and bilateral ankle immobility on cycling performance, quantified by the maximal average mechanical power output (AMPO) over one revolution relative to that without ankle immobility. MethodsTen well-trained non-disabled cyclists performed all-out 6-second sprints on a cycle ergometer at 120 rpm under three conditions: without ankle foot orthoses (AFOs), with 1 AFO and with 2 AFOs immobilizing the ankle joint(s). Mechanical power output, pedal forces, cycling kinematics and surface-electromyography were measured. Maximal AMPO; ankle, knee and hip joint AMPO; and the amount of muscle excitation were calculated. ResultsWith 1 AFO and 2 AFOs, respectively, maximal AMPO was 96% (p<0.05) and 91% (p<0.001) of that without AFOs (1188 W). The decrease in maximal AMPO with ankle immobilization was less than the decrease in ankle joint AMPO (126 W decrease with 2 AFOs; p<0.001), due to an increase in hip joint AMPO (69 W increase with 2 AFOs; p<0.05). The amount of muscle excitation was not significantly different across conditions. ConclusionsThese findings provide a first quantitative and mechanistic indication of the impact of ankle immobility on cycling performance, which may offer valuable evidence to support the development of an evidence-based para-cycling classification system.

This study examined the utility of HRV detrended fluctuation analysis alpha-1 (DFA1) to assess readiness-to-train and exercise durability under varying acute training loads. Nineteen trained cyclists completed two 20-minute time-trials (TT) under rested and fatigued conditions. DFA1 was measured during a standardized warm-up (WU), 20-min TT, and standardized cool-down (CD). Power output (PO) and DFA1 responses were compared across conditions, and associations with performance and fitness (W/kg) were examined. DFA1 values declined with increasing WU and CD exercise intensity (p<0.001) and were significantly attenuated following the 20-min TT (p<0.001). While DFA1 profiles did not differ significantly between rested and fatigued conditions, lower pre-TT DFA1 was associated with reduced TT performance (p=0.022; r=0.55), suggesting relevance to training readiness. Additionally, an 18% decline in DFA1 between 10- and 20-min during the TT (p=0.031), and lower post-TT values at matched intensities were observed (p<0.001), indicating physiological perturbation from the 20-min TT. Fitter participants exhibited lower DFA1 values during the 20-min TT (p<0.001; r=-0.77), suggesting a greater capacity to sustain physiological stress. While DFA1 is responsive to exercise intensity and stress, offering potential to assess training readiness and durability, more robust fatigue protocols are needed to validate DFA1 as training load monitoring tool.

Purposeto characterize the dynamic postural control during weight load shifting with and without support surface reduction with temporal metrics commonly used in linear control systems identification. MethodsFrom the COP coordinates temporal, global and structural parameters were calculated. Reliability of derived parameters were determined using Bland-Altman analysis. ResultsFor the observed population, temporal variables tend to decrease when the complexity of the task is increased with the reduction in the support surface and the non dominance. ConclusionDelay and rise times were significantly shorter for the non-dominant limb in the anteroposterior direction when volunteers performed the same task with different limbs. In the mediolateral direction, delay and rise times were shorter in both unipodal stances with respect to their bipodal homologues. An increase in COP path length, velocity and sample entropy was observed when the support area was reduced. All parameters showed good reliability in both directions at all stances. This framework could be used in the clinical practice to assess dynamic postural control capabilities in patients whose balance is pathologically affected. The trial was evaluated and approved by the Central Committee of Bioethics in Biomedical Practice and Research of the province of Entre Rios.

BackgroundWork-related musculoskeletal symptoms such as pain, stiffness, and swelling are a common occupational health issue that affect well-being and increase healthcare costs. Continuous physical effort, long hours of sitting, and poor awareness of proper ergonomics often lead to or worsen these conditions. ObjectiveThis study determined the frequency of musculoskeletal symptoms and the associated risk factors with musculoskeletal symptoms among field health workers in Bin Qasim Town, Karachi. Material & MethodsA cross-sectional study was employed and collected data from Karachi based pre-urban communities i.e.: Ibrahim Hydri, Rehri Goth and Bhains Colony. Study duration was 9 months. MSK symptoms were assessed using the standardized Nordic Musculoskeletal Questionnaire (NMQ). Prevalence of MSK symptoms was assessed over 12 months and 7 days. Participants with pain in [&ge;]2 regions of the upper or lower limbs were classified as having upper or lower limb symptoms, respectively. Multivariable logistic regression was used to identify associated factors for MSK symptoms in last 12 months. Results132 participants were recruited. Most frequently reported pain region in the last 12 months was lower back 111(84%) and shoulder 81(61%). Similarly, the most affected region in the last 7 days was also lower back 39(29%) followed by shoulder 33(25%). Upper limb MSK symptoms were significantly associated with bachelors or higher educated (OR=3.38; 95% CI: 0.67-7.42), sitting 3-4 h/day (OR=3.46; 95% CI: 1.11-10.75), and walking 3-4 h/day (OR=2.88; 95% CI: 1.05-7.85). In lower limb, married workers had 2 times higher odds of lower limb MSK symptoms (OR=2.36; 95% CI:1.04 - 5.35), while those who worked > 30 hours/week had 67% lower odds of having lower limb MSK symptoms (OR=0.33, 95% CI:0.15 - 0.72). ConclusionField health workers frequently reported MSK symptoms in both limbs. Preventive strategies such as ergonomic training, task rotation, and targeted support for married female workers are recommended to reduce the long-term impact.

Background: Quadriceps strength and landing mechanics are two modifiable factors associated with anterior cruciate ligament (ACL) injury risk. Collecting detailed biomechanical data is an arduous task. Identifying a relationship using more easily measured variables, such as quadriceps strength, would offer value for athlete counseling and injury prevention programs. Although quadriceps weakness has been associated with altered landing strategies in ACL-reconstructed (ACLR) individuals, this relationship is less clear in healthy athletes. Purpose: To investigate the association between isokinetic quadriceps strength and peak knee flexion angle during a vertical drop jump in healthy adolescent athletes. Study Design: Secondary analysis of previously collected data. Methods: Healthy adolescent athletes had their dominant leg quadriceps strength measured using an isokinetic dynamometer at 60{degrees}/s from 0-90{degrees} of knee flexion. Landing mechanics were assessed during a vertical drop jump using three-dimensional motion capture synchronized with force plates. Pearson correlation was used to evaluate the association between quadriceps strength and peak knee flexion angle during landing, with statistical significance defined as p < .05. Results: There was a weak negative correlation between quadriceps strength and peak knee flexion angle (p = .017, R = -.22 [-.04, -.38]), suggesting that stronger athletes achieved greater knee flexion angles. Discussion: Greater quadriceps strength was associated with increased peak knee flexion angles during landing; however, the weak correlation suggests that strength explains only a small portion of the variability in landing mechanics. These findings deviate slightly from prior literature in healthy populations but are consistent with studies demonstrating that greater quadriceps strength is associated with achieving greater peak knee flexion in ACLR patients. Accordingly, quadriceps strengthening should remain a key component of multifactorial ACL injury prevention programs.

Gait asymmetry is a common manifestation of walking impairment among clinical populations. We recently developed a novel treadmill walking approach called dynamic treadmill walking that can provide asymmetric gait training by changing the treadmill speed between fast and slow speeds within a single stride. Here, we studied the energy expenditure associated with a variety of dynamic treadmill walking conditions. We hypothesized that the metabolic power required for dynamic treadmill walking in all conditions would approximate the metabolic power associated with conventional walking at the mean of the fast and slow speeds employed in the task. Eleven young adults without gait impairment walked on an instrumented treadmill and breathed into a metabolic measurement system. During dynamic treadmill walking, the treadmill fluctuated between 0.75m/s and 1.50m/s, each for 50% of an individuals stride time. We used a metronome to synchronize participants right heel-strikes with four different timing conditions. Net metabolic power during dynamic treadmill walking was significantly greater than normal walking at the mean speed of the task (1.125m/s) and generally lower than walking at the fast speed (1.5m/s). We did not observe any significant associations between net metabolic power and several measures of gait asymmetry during dynamic treadmill walking. These findings establish dynamic treadmill walking as a promising technique for improving gait symmetry in individuals who cannot tolerate fast treadmill walking, a common gait rehabilitation approach. Future work will assess the feasibility, metabolic demands, and clinical efficacy of using dynamic treadmill walking to improve gait symmetry in clinical populations. Key Points SummaryO_LIDynamic treadmill walking (i.e., walking with oscillating treadmill speeds) has previously been shown to drive gait asymmetries, but little is known about the energy expenditure required to complete the task. C_LIO_LIOur hypothesis was that dynamic treadmill walking would have similar metabolic power requirements to normal walking at a speed that is intermediate between the two dynamic treadmill walking speeds. C_LIO_LIWe found that dynamic treadmill walking actually requires metabolic power that is greater than the average of the two belt speeds, but less than that used for fast walking. C_LIO_LIDynamic treadmill walking is a promising and clinically translatable technique for rehabilitating populations with gait asymmetries that is not more energetically costly than fast treadmill walking, a common gait rehabilitation approach. C_LI

ObjectivesThis study aimed to compare exercise-induced changes in serum and salivary concentrations of cardiac troponin-I (cTnI) in athletes during and after a marathon. MethodsThirty-six male runners were recruited. Eighteen participants in group 1 completed a marathon (42.195 km), while eighteen participants in group 2 did not undergo this exercise. Blood and saliva samples were collected at twelve different time points and then analyzed for cTnI using an immunoassay. ResultsBiphasic cTnI release into the circulation was observed during and after the marathon. Moreover, a similar pattern of biphasic cTnI elevation was found in saliva. In group 1, salivary and serum concentrations of cTnI first peaked after 60 min of exercise (0.67{+/-}0.08 ng/mL and 0.76{+/-}0.07 ng/mL), decreased slightly towards the end of the marathon (0.40{+/-}0.06 ng/mL and 0.46{+/-}0.06 ng/mL), and then reached a second, higher peak 4 h post-exercise (0.72{+/-}0.09 ng/mL and 0.82{+/-}0.09 ng/mL), returning to baseline by 48 h after marathon completion (0.16{+/-}0.04 ng/mL and 0.18{+/-}0.04 ng/mL). In group 2, there were no time-dependent changes in cTnI concentrations in both saliva and serum. Deming regression and Passing-Bablok regression demonstrated that there was proportional agreement between salivary and serum levels of cTnI in both groups at all twelve time points. The Bland-Altman method revealed that there was a negative differential bias but no proportional bias in the data. ConclusionsDocumenting a similar, biphasic pattern of cTnI elevations in saliva and serum during and after the marathon provides a reliable non-invasive alternative without requiring a blood draw.

ObjectiveTo assess the prevalence, determinants, and health associations of vitamin D deficiency among workers in Cikarang, Indonesia. MethodsCross-sectional study of 107 workers. Serum 25(OH)D was measured by ECLIA; deficiency was <20 ng/mL. Data included demographics, occupation, sun exposure, diet, anthropometry, laboratory parameters, and self-reported health. Analyses used t-test/Mann-Whitney U, chi-square, and multivariable regression. ResultsDeficiency was prevalent (57.9%; median 18.6 ng/mL). Males had higher levels (+7.60 ng/mL) and lower risk (OR 8.56), while younger age (<38.5 years) showed lower levels (-5.60 ng/mL) and higher risk (OR 4.73; all p<0.0001). Greater sun exposure increased levels, whereas sunscreen use and greater clothing coverage reduced them. Only sex and age remained significant. ConclusionVitamin D deficiency is common, especially among female and younger workers, with modifiable sun-avoidance behaviors contributing. LEARNING OUTCOMESO_LISummarize the prevalence and key determinants of vitamin D deficiency among industrial workers in equatorial Indonesia, contributing to limited occupational health data in this setting. C_LIO_LIHighlight the role of modifiable behaviors--particularly sun exposure and sun-avoidance practices--in influencing vitamin D status among workers. C_LIO_LIEmphasize the need for targeted workplace interventions, including safe sun exposure strategies and nutritional support, especially for high-risk groups such as female and younger workers. C_LI

ObjectivesTo investigate the epidemiology of acute sports-related upper-extremity injuries in young athletes, with a particular focus on the frequency, anatomical distribution, injury types, and mechanisms of digit injuries. MethodsThis single-center retrospective observational study included athletes aged [&le;]22 years who sustained acute sports-related upper-extremity injuries between January 2017 and November 2025. Digit injuries were defined as injuries involving the thumb and fingers at or distal to the metacarpophalangeal joint. Injury characteristics, mechanisms, and sports categories were analyzed using descriptive statistics. ResultsA total of 1,219 acute sports-related upper-extremity injuries were analyzed. Digit injuries were the most common injury location, accounting for 412 cases (33.8%), followed by shoulder (30.7%), elbow (17.5%), wrist (14.4%), and palm injuries (3.6%). Jammed finger was the most frequent injury type, comprising 64.8% of digit injuries, followed by fractures (20.1%) and dislocations (5.3%). Most injuries were caused by contact mechanisms (90.3%), with ball contact being the predominant cause (49.5%). Ball sports accounted for 85.4% of all digit injuries. ConclusionsDigit injuries represent the most frequent acute sports-related upper-extremity injuries in athletes aged [&le;]22 years, with jammed finger accounting for the majority of cases. Most injuries were associated with ball contact, highlighting the need for preventive strategies and appropriate initial management for digit injuries in young athletes.

ObjectivesTo determine whether early functional severity at presentation explains variability in return to sport (RTS) after ankle sprain in young athletes, compared with sprain subtype and injury mechanism. DesignRetrospective cohort study. MethodsAthletes aged [&le;]22 years with acute ankle sprains were identified from a prospectively maintained institutional database. Surgically treated cases were excluded. Functional severity at presentation was classified into three grades based on the ability to continue sports participation and ambulate immediately after injury. Injury mechanisms were categorized as high-energy deceleration (HED) or non-HED. RTS was analyzed as time to return and as prolonged RTS ([&ge;]4 weeks). Multivariable logistic regression was performed to identify factors independently associated with prolonged RTS. ResultsA total of 437 cases were included. Median RTS was 2.0 weeks (interquartile range, 0.0-4.0), and prolonged RTS occurred in 33.0% of cases. RTS duration increased stepwise with greater functional severity (p < 0.001). In multivariable analysis, functional severity was strongly associated with prolonged RTS (Grade 2: adjusted odds ratio [OR], 3.58; 95% confidence interval [CI], 2.07-6.19; Grade 3: adjusted OR, 24.53; 95% CI, 10.67-56.43; p < 0.001), and age was also independently associated (adjusted OR, 1.19 per year; 95% CI, 1.11-1.27; p < 0.001). Sprain subtype and injury mechanism were not independently associated with RTS after adjustment. ConclusionsEarly functional severity at presentation is the primary determinant of RTS after ankle sprain in young athletes. Apparent differences related to sprain subtype and injury mechanism are largely explained by initial functional impairment.

Background Occupational exoskeletons are used to reduce physical workload and prevent work-related musculoskeletal disorders in physically demanding jobs. Although laboratory studies demonstrate reduced muscle load during simulated manual work tasks, evidence from long-term, real-world implementations remains very limited. The RELAX project aims to investigate the long-term effects of a passive back-support exoskeleton (BSE) during manual order-picking work in a Danish warehouse, focusing on health and socio-economic outcomes. Methods This 18-month controlled in-field intervention study compares outcomes at two warehouse departments: one where workers use a passive BSE and a control group where workers perform work tasks as usual. Approximately 90 full-time workers will be followed during the intervention period with questionnaires, interviews and company-registered performance indicators. Primary outcomes include perceived work intensity and musculoskeletal discomfort, while secondary outcomes include sickness absence, employee turnover, productivity and cost effectiveness. Furthermore, a process evaluation will be conducted based on questionnaires, focus-group interviews, and reported exoskeleton use. Quantitative effects will be analysed using difference-in-difference analysis with generalized linear mixed models to account for repeated measures over time. Employee turnover will be analysed using time-to-event analysis, and qualitative focus-group interviews will be analysed using reflexive thematic analysis to explore implementation processes and contextual factors. Cost-effectiveness and return on investment will be assessed by comparing the investment with potential savings in costs and resource use. Discussion By combining longitudinal quantitative outcomes with qualitative process evaluation, the study seeks to provide ecologically valid evidence on the effectiveness, feasibility and sustainability of occupational exoskeleton implementation. This approach will help clarify whether long-term exoskeleton use improves worker health without compromising productivity and may inform future workplace guidelines and large-scale adoption strategies.

Background: Accurate evaluation of fine motor abilities is a key aspect of neurological rehabilitation. However, conventional approaches like goniometry are limited by variations among raters and their difficulty in detecting active movement. On the other hand, computer vision-based software delivers non-invasive and quantitative analysis of hand movements. An innovative computer-vision-based software tool, F.A.I.R. Chance(C), was developed to track and analyze individual finger joint movements on a camera-equipped laptop and give real-time numerical feedback. However, its metrics require validation in a healthy population before the tool can be used for clinical purposes. Objective: To assess the reliability and validity of finger movement assessment by the F.A.I.R. Chance computer vision-based tool in healthy adult participants. Methods: An observational cross-sectional study was done at MGM School of Physiotherapy, comprising 30 healthy participants between 18 and 60 years of age. Finger movements like flexion, extension, abduction, and adduction were measured with a standard handheld goniometer. These same finger movements were then measured with the tool at two time points separated by a 30-minute interval to determine the test-retest reliability. The tool's measurements were compared with the goniometric measurements to determine its concurrent validity. Test retest reliability was checked by the Intra-class Correlation Coefficient ICC (2,1), while concurrent validity was tested through Pearson's correlation coefficients. Results: Metacarpophalangeal and proximal interphalangeal joint motions demonstrated moderate to good test-retest reliability (ICC: 0.716-0.953) for the F.A.I.R. Chance tool. However, distal interphalangeal joint movements had lower consistency. Good reliability (ICC: 0.754-0.908) was seen for movements of abduction and adduction in the fingers. Strong concurrent validity for extension movements of the metacarpophalangeal joints (r=0.760-0.914) and moderate concurrent validity for flexion movements of the metacarpophalangeal joints (r=0.427-0.604) was demonstrated for all fingers for the F.A.I.R. Chance tool. Concurrent validity for adduction and abduction movements demonstrated a low to fair correlation with goniometric measurements (r=0.210-0.440). This is consistent with previous research showing poor agreement between goniometry and adduction-abduction movements of the fingers. Conclusion: The F.A.I.R. Chance tool shows good reliability and acceptable concurrent validity to assess fine motor movements in the healthy adult population. This sets a basis for further clinical study of the tool in the target population with fine motor impairments. Keywords: artificial intelligence; assistive technology; computer vision; fine motor evaluation; hand function;

Flow state, characterized by optimal engagement and performance, represents a key concept in understanding human performance and cognitive resource allocation. Grounded in Csikszentmihalyis and Sherrys flow theory and the Limited Capacity Model of Motivated Mediated Message Processing (LC4MP), this study investigated physiological and neural correlates of flow state during a simulated driving task under different music conditions and difficulty levels. Using a 2 x 3 factorial design with 20 participants, this study examined self-selected versus non-self-selected music across three difficulty levels, testing the relationship between task switching, cognitive resource allocation, and flow state. Physiological measures included heart rate and EEG (alpha/theta power) using a 4-channel Muse 2 headband, alongside a self-report measure of flow experience. Hierarchical linear modeling revealed significant physiological changes during self-selected music: heart rate decreased ({beta} = -5.15, p < .001), while alpha ({beta} = 5829.77, p < .001) and theta power ({beta} = 7637.24, p < .001) increased. Task difficulty also showed significant effects, with heart rate decreasing during hard ({beta} = -6.70, p < .001) and moderate ({beta} = -3.40, p = .001) conditions. In particular, while physiological measures showed robust changes, the self-reported flow state did not reach significance. Task switching rates showed significant decreases during self-selected music ({beta} = -0.86, p < .001) and hard difficulty ({beta} = -0.61, p < .001), supporting the LC4MP frameworks predictions regarding cognitive resource allocation. These findings demonstrate how task switching and cognitive resource allocation relate to flow state induction. The results highlight the importance of multimodal measurement approaches and demonstrate that personal relevance through music selection and task difficulty significantly influence physiological and neural responses during performance. Future research should employ more comprehensive measurement approaches to better capture the complexity of flow-related neural activity and its relationship to task switching and cognitive resource allocation.

Tissue-level mechanical stimuli are primary drivers of tissue adaptation and can be optimised during conservative treatments to improve treatment outcomes for many highly prevalent musculoskeletal conditions. Current laboratory-based technologies limit our ability to connect conservative interventions such as exercise and movement modification with muscle, joint, and tissue-level mechanics, in natural environments. We introduce a physics-informed neural network (PINN) to estimate clinically relevant biomechanics from smart garments. By accounting for physiological dynamics of neural activation and muscle contraction, the PINN accurately predicted hip joint angles (RMSE <6 degrees), moments (RMSE 0.12 N*m/kg to 0.30 N*m/kg), and joint forces (RMSE 6 to 16%) from three inertial measurement units and four electromyographic sensors. We demonstrated that the trained PINN can be combined with a smart garment to estimate hip biomechanics, in real-time, during a gait retraining intervention aimed at modifying joint loading to treat hip osteoarthritis. The developed PINN and smart garment system may be adapted and generalised for personalised management or rehabilitation of a broad range of musculoskeletal diseases and injuries, in clinical, home, workplace, and sporting environments.

Purpose: To identify, through iterative user-centered design, the auditory biofeedback requirements and sound preferences supporting gait training in children with cerebral palsy (CP), and to determine which feedback variables, sound mappings, and sound types yield clinically viable and movement-interpretable paradigms. Methods: The iterative process spanned two prototype phases. Prototype A comprised seven paradigms demonstrated to two experienced physiotherapists (Workshop 1A). Two of these were subsequently discarded owing to poor sound-movement interpretability and two were modified. Six paradigms were added to Prototype B, demonstrated to four children, five parents, and one therapist (Workshop 1B) and two therapists (Workshop 2B). Data were analyzed using systematic text condensation. Results: Within-child sound preferences varied with energy level and sensory state on a given day. Sound-movement interpretability tended to suffer for paradigms with greater acoustic complexity (e.g. computer-generated music). Therapists endorsed a repertoire spanning both movement quality and movement quantity targets. Participants independently proposed paradigms rewarding restrained and controlled movement, a feedback category absent from the current prototype. Conclusions: Session-level calibration is preferable to fixed sound profiles, requiring real-time interface support for paradigm adjustment. Acoustic complexity must remain subordinate to movement-sound interpretability. Paradigms targeting movement restraint are a development priority unaddressed in the literature.

Objectives To examine the acute effects of a single bout of high-intensity interval training (HIIT) on fetal blood flow distribution during the third trimester of pregnancy. Methods Thirty-four healthy pregnant participants (mean age 31.6 years, standard deviation (SD) 4.1; gestational week 33.8 (SD 0.4) completed eight 30-second high-intensity cycling work-bouts interspersed with 2-minute rest periods. Fetal heart rate (FHR), maternal blood pressure, and Doppler-derived blood flow indices in the middle cerebral artery, umbilical artery and vein, and ductus venosus were assessed before and after exercise. We estimated fetal liver blood flow and the ratio of umbilical vein flow to ductus venosus. Maternal heart rate (HR) and FHR were recorded throughout exercise. Paired t-tests compared pre- and post-exercise values. Results No significant changes were observed in fetal blood flow indices or distribution following exercise. Average maternal HR and FHR during the work-bouts were 158 bpm (SD 16) and 152 bpm (SD 12), respectively. Following HIIT, maternal systolic blood pressure increased by 5 mmHg (95% CI 1 to 8, p=.014), maternal HR by 22 bpm (95% CI 15 to 28, p<.001), and FHR by 13 bpm (95% CI 10 to 17, p<.001). We recorded 16 instances of FHR above normal range during HIIT. Conclusion A single HIIT session in late pregnancy increased maternal blood pressure and HR and transiently elevated FHR but did not affect fetal blood flow indices or distribution. Brief episodes of fetal tachycardia were observed but appeared to be clinically insignificant. Future research should investigate the effects of repeated HIIT exposure during pregnancy.

The opportunity to collect movement data from smartphones for prolonged periods has opened new perspectives in the field of clinical movement analysis. However, when monitoring peoples mobility in free-living conditions, smartphone placement can influence the validity of the extracted digital mobility outcome. This study aimed to develop and validate an automatic smartphone placement recognition classifier and to investigate potential critical factors that can influence performance. The classifier was trained on data from 15 healthy participants using inertial signals collected from smartphones placed at six body placements during free-living walking and externally validated on over 3,000 individuals from external datasets, including blind participants and patients with cardiovascular or Parkinsons disease. A decision-tree ensemble model was developed using feature subsets of increasing dimensionality, with the optimal subset comprising 50 features. Classification accuracy increased consistently when front and back pocket placements were aggregated (81.1%) and further improved when coat pocket was also included in the pocket class (88.5%), underscoring the challenge of distinguishing between fine-grained pocket placements. The best-recognized placements across the external datasets were lower back (precision: 100%, recall: 72.5%), hand (precision: 94.2%, recall: 94.5%), and the aggregated pocket class (precision: 86.7%, recall: 90.2%). Recognition accuracy changed across cohorts (0.73 - 0.85), activities (0.63 - 0.94) and speed (0.79 - 0.87), however it stayed consistent across various technological and environmental factors. Overall, this study demonstrates the feasibility of robust placement recognition in walking and underscores the importance of accounting for key influencing factors when designing frameworks intended for deployment in heterogeneous real-world or clinical contexts. HighlightsO_LIMachine learning accurately identifies smartphone placement during real-world gait C_LIO_LISix on-body placements recognized, including pockets, hand, bag, and lower-back C_LIO_LIFree-living data used for training, ensuring robust performance across conditions C_LIO_LIFeature selection and hyperparameter tuning optimize classification accuracy C_LIO_LIExternal validation confirms generalizability across >3,000 healthy and diseased adults C_LI

Sensory degradation with aging can impair balance control, partly by disrupting visual contributions to self-motion estimation. We investigated how aging affects the control of frontal plane center of mass (CoM) trajectories during walking with exposure to repeated visual perturbations. We hypothesized that aging would increase responses to visual perturbations and decrease adaptation to repeated visual perturbation exposure. We applied three visual perturbations to 14 healthy older (age: 75.0{+/-}2.4) and 16 younger adults (age: 23.4{+/-}3.9) walking on a treadmill: fixating a stationary target with the background moving to the right (MB), tracking a target moving rightward over a stationary background with head rotation (MT-HR), and tracking a moving target with eye movement only (MT-EM). Deviations of CoM position and foot placement due to the visual perturbations were assessed. Over the whole trial, the older adults exhibited larger CoM position variability in MB and MT-HR conditions. During visual perturbation epochs, both age groups deviated in the same direction except MB. In MB, the older adults deviated to an opposite direction after a few perturbation repetitions. Moreover, in MT-HR and MT-EM, the older adults deviated earlier than the younger adults and they deviated more in the MT-HR condition. This indicates that older adults exhibit reduced ability to accurately estimate self-motion through correction by other sensory modalities when exposed to visual perturbations. Over repeated perturbations, the older adults showed decreased CoM deviations in MT-EM, which suggests that they still maintain the capacity to downweight visual information after repeated exposure.

BACKGROUNDFreezing of gait (FOG) is a disabling feature of Parkinsons disease (PD). Although physical practice (PP) improves gait, maintaining gains remains challenging. Mental practice (MP), including Dynamic Neuro-Cognitive Imagery (DNI), may enhance gait control, but evidence on remote combined interventions is limited. PURPOSETo investigate whether adding MP grounded in DNI principles to remote physical practice supports greater and more sustained improvements than remote physical practice alone in people with PD and FOG. METHODSA prospective, single-blind, parallel-group randomized controlled trial was conducted. Forty-three participants with idiopathic PD and FOG were randomized to an experimental group (EG, n = 20) or control group (CG, n = 23), stratified by cognitive performance. Both groups received 10 remote sessions over 6 weeks. All performed structured physical practice targeting gait components; the EG additionally performed MP based on DNI, while the CG performed time-matched seated stretching. Assessments were conducted at baseline (BI), post-intervention (AI), and 30-day follow-up (FU). The primary outcome was Rapid Turns Test performance; secondary outcomes included FOG severity, motor aspects of daily living, mobility-related quality of life, and global cognition. RESULTSAll randomized participants were included in intention-to-treat analyses; 38 completed all assessments. Significant group x time interactions were found for Rapid Turns Test duration (p = 0.0019) and FOG time (p = 0.0108). Both groups improved short-term, but only the EG maintained gains at follow-up. Additional interactions favored the EG for mobility-related quality of life (p = 0.001) and global cognition (p = 0.0018). Self-reported FOG improved over time in both groups (p < 0.001) without between-group differences, while motor aspects of daily living showed a time effect only (p = 0.001). CONCLUSIONMP based on DNI principles may enhance retention of gains when combined with remote physical practice, supporting its use as an adjunct in FOG rehabilitation. Trial registrationThis trial is registered at ClinicalTrials.gov with trial registration number NCT06957405 (registered on April 25, 2025). Protocol and statistical analysis planThe full trial protocol and statistical analysis plan are available upon request from the corresponding author. Data sharingThe datasets generated, used and analyzed during the trial are or will be available from the corresponding author upon reasonable request. Funding and conflicts of interestThis article was produced as part of the activities of FAPESP Research, Innovation and Dissemination Center for Neuromathematics (grant #2013/07699-0, Sao Paulo Research Foundation). Co-author PRS received individual support from FAPESP (grant number 2025/14403-7). The authors declare no conflict of interest.

Background: Exercise-based cardiac rehabilitation (CR) improves peak oxygen uptake ([V]O2peak) in patients with coronary heart disease (CHD); however, whether women and men exhibit similar adaptations across the steps of O2 transport remains unknown. We aimed to compare the ventilatory and circulatory determinants of [V]O2peak changes between women and men with CHD following a structured exercise training program. Methods: A total of 28 women (27%) and 75 men (73%) with CHD, matched for age, body mass index, and [V]O2peak (% predicted), underwent maximal cardiopulmonary exercise testing (CPET) before and after 12 weeks of CR. [V]O2peak and minute ventilation ([V]E) were measured breath by breath. Heart rate and cardiac output ([Q]c)were assessed non-invasively using impedance cardiography. Exercise efficiency ({Delta}[V]O2/{Delta}W), alveolar ventilation ([V]A), ventilatory efficiency (OUES), O2 pulse, arteriovenous oxygen content difference (C(a-[v])O2) and gross muscular efficiency (W) were calculated using standard equations. Mixed model analyses (sex x time) were used to compare training-induced changes between sexes. Results: At baseline, values of [V]O2peak (absolute and normalized by fat free mass), [V]E, [V]A, O2 pulse, C(a-[v])O2, {Delta}[V]O2/{Delta}W, W were significantly lower in women than in men with CHD (group effect, p<0.01). [V]O2peak normalized by fat-free mass improved similarly in both sexes after CR (p<0.0001, no significant sex x time interaction). Pulmonary convection ([V]E, [V]A), ventilatory efficiency (OUES), circulatory convection ([Q]c, cardiac index, O2 pulse), and peripheral gross muscular efficiency (W) all improved similarly after CR in women and men (effect sizeXtime effect, p<0.05, no significant group x time interaction). The prevalence of responder categories did not differ between sexes (p=0.826). Conclusion: Women and men with CHD demonstrated equivalent O2 transport phenotype adaptations after CR, with comparable improvements across the O2 transport chain (pulmonary, circulatory, and peripheral determinants of [V]O2peak).