Relationship between cardiopulmonary responses and isokinetic moments: the optimal angular velocity for muscular endurance

A meta-analysis of randomized controlled trials: evaluating the efficacy of isokinetic muscle strengthening training in improving knee osteoarthritis outcomes

BACKGROUND

Knee osteoarthritis (KOA) is a prevalent degenerative joint disease. The primary pathological manifestations of KOA include articular cartilage degeneration, joint space narrowing, and osteophyte formation, leading to a spectrum of symptoms, including joint pain, stiffness, reduced mobility, diminished muscle strength, and severe disability. We aimed to utilize a meta-analysis to evaluate the efficacy of isokinetic muscle strengthening training (IMST) as a rehabilitation treatment for KOA in lowland areas.

METHODS

The study conducted a comprehensive search of the CNKI, WanFang Data, VIP Database, PubMed, Ovid MEDLINE (1946-), Cochrane Library, Embase, and CBM databases. The databases were conducted from establishing each database to September 31, 2024. The studies included were randomized controlled trials (RCTs) with participants from the plains who met the diagnostic criteria for KOA as outlined in the 2019 edition, with no restrictions on gender, age, or disease course, and no patients with advanced disease; studies where in the control group was either a non-intervention group or a group receiving treatment, other than IMST, and the experimental group received IMST alone or in addition to the treatment administered to the control group; and studies with at least two of the following outcome indicators: (i) knee flexors (Flex)/extensors (Ext) peak torque (PT), (ii) knee Flex/Ext total work (TW), (iii) knee Flex/Ext max rep total work (MRTW), (iv) knee Flex/Ext average power (AP), (v) visual analogue scale (VAS) for pain, (vi) Lequesne index (LI), (vii) Western Ontario and McMaster University Osteoarthritis Index (WOMAC), (viii) Lysholm Knee Scoring Scale (LKSS), (ix) range of motion (ROM) of the knee joint, and (x) 6-min walk test. We systematically reviewed the RCTs in both Chinese and English and evaluated the quality of the included literature. Data were processed and analyzed using ROB 2, RevMan 5.4, Stata17, and GRADEpro. The study protocol was registered on PROSPERO (CRD42024607528).

RESULTS

Thirty-three (46 studies, 2,860 patients) had low-to-some concerns risk. IMST significantly improved physical therapy outcomes, including knee Flex PT and knee Ext PT at an angular velocity of 60°/second (standardized mean difference 13.19 [95% confidence interval 6.44, 19.94], P = 0.0001 and 16.34 [11.47, 21.22], P < 0.00001, respectively), and 180°/second (11.17 [2.86, 19.48], P = 0.008 and 12.62 [3.49, 21.75], P = 0.0077, respectively); knee Flex TW (79.77 [49.43, 110.10], P < 0.0001), Ext TW (86.27 [58.40, 114.15], P < 0.00001), knee Flex MRTW (9.38 [3.20, 15.56], P = 0.003), knee Ext MRTW (15.52 [8.96, 22.08], P < 0.0001), knee Flex AP (8.66 [0.70, 16.61], P = 0.03), knee Ext AP (7.27 [3.30, 11.23], P = 0.0003), knee Flex ROM (10.62 [7.94, 13.30], P < 0.00001), and LKSS scores (7.90 [5.91, 9.89], P < 0.00001). Additionally, it reduced VAS scores (- 0.70 [- 0.92, - 0.49], P < 0.00001), LI scores (- 1.24 [- 1.65, - 0.83], P < 0.00001), and WOMAC scores (- 6.05 [- 10.37, - 1.73], P = 0.006). Compared to the control group, superior clinical efficacy was noted in the experimental group. The quality of evidence the studies reported was poor, mainly due to original trials with high inter-study heterogeneity and imprecise results. The therapeutic effect of IMST on KOA remained significant after rigorous testing of subgroup and sensitivity analyses.

CONCLUSIONS

In patients with KOA, IMST improves muscle strength and relieves joint pain and stiffness. However, large-scale, high-quality, randomized controlled trials with extended observation periods are urgently needed to popularize the use of IMST in KOA patients.

Sports performance adaptations through occlusal splint: Case reports of triathlon athletes

OBJECTIVE

Occlusal disturbances affect human posture and sports performance. This study aimed to monitor biomechanical adaptations to personalized occlusal splints.

METHODS

Splints were customized based on stabilometry, thermography, sEMG, and kinesiography, and administered to three triathlon athletes. They were evaluated during a 4-month period, using isokinetic indexes, running kinematics and anaerobic outputs.

RESULTS

Individuality emerged as a key factor driving type, quantity, quality, and time trajectories of adaptations. The use of instrumental and clinical tests allowed the detection of static balance and biting function improvements, but not necessarily parallel to sports performance improvements.

CONCLUSION

The authors argue that strength and kinematic imbalances are joint and task-specific and support the use of multi-stage monitoring of the biomechanical effect of mouthpieces. Kinematics of cycling and running may be widely assessed with ecological and inexpensive methods. Strength imbalances need to be continuously monitored due to the high informative value to injury prevention.

On the Impact of Biceps Muscle Fatigue in Human Activity Recognition

Nowadays, Human Activity Recognition (HAR) systems, which use wearables and smart systems, are a part of our daily life. Despite the abundance of literature in the area, little is known about the impact of muscle fatigue on these systems’ performance. In this work, we use the biceps concentration curls exercise as an example of a HAR activity to observe the impact of fatigue impact on such systems. Our dataset consists of 3000 biceps concentration curls performed and collected from 20 volunteers aged between 20–35. Our findings indicate that fatigue often occurs in later sets of an exercise and extends the completion time of later sets by up to 31% and decreases muscular endurance by 4.1%. Another finding shows that changes in data patterns are often occurring during fatigue presence, causing seven features to become statistically insignificant. Further findings indicate that fatigue can cause a substantial decrease in performance in both subject-specific and cross-subject models. Finally, we observed that a Feedforward Neural Network (FNN) showed the best performance in both cross-subject and subject-specific models in all our evaluations.

Towards Detecting Biceps Muscle Fatigue in Gym Activity Using Wearables

Fatigue is a naturally occurring phenomenon during human activities, but it poses a bigger risk for injuries during physically demanding activities, such as gym activities and athletics. Several studies show that bicep muscle fatigue can lead to various injuries that may require up to 22 weeks of treatment. In this work, we adopt a wearable approach to detect biceps muscle fatigue during a bicep concentration curl exercise as an example of a gym activity. Our dataset consists of 3000 bicep curls from twenty middle-aged volunteers at ages between 27 to 30 and Body Mass Index (BMI) ranging between 18 to 28. All volunteers have been gym-goers for at least 1 year with no records of chronic diseases, muscle, or bone surgeries. We encountered two main challenges while collecting our dataset. The first challenge was the dumbbell's suitability, where we found that a dumbbell weight (4.5 kg) provides the best tradeoff between longer recording sessions and the occurrence of fatigue on exercises. The second challenge is the subjectivity of RPE, where we average the reported RPE with the measured heart rate converted to RPE. We observed from our data that fatigue reduces the biceps' angular velocity; therefore, it increases the completion time for later sets. We extracted a total of 33 features from our dataset, which have been reduced to 16 features. These features are the most overall representative and correlated with bicep curl movement, yet they are fatigue-specific features. We utilized these features in five machine learning models, which are Generalized Linear Models (GLM), Logistic Regression (LR), Random Forests (RF), Decision Trees (DT), and Feedforward Neural Networks (FNN). We found that using a two-layer FNN achieves an accuracy of 98% and 88% for subject-specific and cross-subject models, respectively. The results presented in this work are useful and represent a solid start for moving into a real-world application for detecting the fatigue level in bicep muscles using wearable sensors as we advise athletes to take fatigue into consideration to avoid fatigue-induced injuries.

Cardiorespiratory fitness and muscular strength of deaf futsal players

The present study compared the cardiopulmonary exercise capacity and peak torque of the knee extensor and flexor muscles in team players associated with the Gaucho Deaf Futsal Federation players to those of their hearing peers. In this cross-sectional study, 16 male athletes, eight futsal players with hearing impairment (deaf group, DG; 22.6±7.7 years), and eight futsal players with normal hearing (control group, CG; 22.5±2.9 years) underwent a cardiopulmonary test on a treadmill and isokinetic dynamometry at 60°/sec. All athletes were subjected to a cardiopulmonary test on a treadmill and isokinetic dynamometry at 60°/sec. The main results showed a reduction in the cardiorespiratory fitness of deaf athletes when compared to the control group maximal oxygen consumption (VO_2max) (40.3±9.8 mL/kg/min vs. 50.7±4.7 mL/kg/min, P= 0.01), oxygen pulse (15.3±4.8 mL/bpm vs. 20.7±2.6 mL/bpm, P=0.01) and ventilation (70.1±22 L/min vs. 96.2±15 L/min, P=0.01), respectively. The relative torque peak of the dominant knee flexors was significantly lower in the deaf group when compared to the control (1.5±0.2 N.m/kg vs. 1.9±0.2 N.m/kg, P=0.004), respectively. There was a significant correlation between VO_2max and peak torque of the dominant knee flexors (r_s=0.83, P<0.001) and extensors (r_s=0.65, P=0.006). When compared to players with normal hearing, deaf players showed lower cardiorespiratory fitness and decreased knee flexor strength. The performance of the thigh muscles was associated with aerobic capacity.