The aim of this study on persons with nonspecific chronic low back pain was to evaluate the effect of a multimodal physical therapy program with or without the addition of deep-water running on pain, physical disability, and general health. A randomized controlled trial involving 46 subjects with nonspecific chronic low back pain were treated three times a week for 15 wks. Each group received 60 mins of multimodal physical therapy program (an individualized exercise program; manual therapy; and back care, pain education, and information on an active lifestyle), whereas one group performed additional 20-min sessions of deep-water running at an individual workload of the aerobic threshold. Both interventions resulted in significant improvements in pain, disability, and physical health. The mean change in pain, disability, and physical health state were -36.1 ± 25.1 mm on the visual analog scale, -3.0 ± 4.8 points for the Roland Morris Questionnaire, and 10.6 ± 12.9 points for the Short Form-12 for the physical therapy plus deep-water running group and -34.1 ± 26.0 mm on the visual analog scale, -1.6 ± 1.5 points for the Roland Morris Questionnaire, and 8.9 ± 13.0 points for the Short Form-12 for the physical therapy alone group. Pain, disability, health status, muscle strength and endurance, and lumbar range of motion significantly improved in both groups. The addition of a deep-water running program at an individual workload of the aerobic threshold to the multimodal physical therapy program produced a significant improvement in pain in patients with nonspecific chronic low back pain, but this was not significantly different when compared with multimodal physical therapy program alone. Disability, health status, muscle strength and endurance, and lumbar range of motion significantly improved to a similar level in both intervention groups.

The aim of this study was to compare the effects of various recovery techniques on muscle tissue after eccentric exercise-induced muscle fatigue (EIMF). Forty subjects (24.3 ± 2.6 years; 77.45 ± 8.3 kg; 177.0 ± 6.4 cm; 24.66 ± 1.6 kg∙m⁻²) were randomly assigned to one of the following groups: manual therapy (n =10, MT), mechanical vibration (n = 10, MV), percussion therapy (n = 10, PT) or foam roller (n = 10, FR). The contraction time (Tc) and the radial displacement (Dm) of the gastrocnemius was evaluated through tensiomyography (TMG). The application of the different techniques had positive effects for Tc and Dm in the treated leg compared to the untreated leg (F = 50.01, p < 0.01, η²p = 0.58 and F = 27.58, p < 0.01, η²p = 0.43, respectively) and for the interaction of the factors (Time x Leg x Therapy: F = 5.76, p < 0.01, η²p = 0.32 and F = 5.93, p < 0.01, η²p = 0.33, respectively). The results of the various methods used were similar: Tc (F = 0.17, p = 0.917; η²p = 0.01) and Dm (F = 3.30, p = 0.031, η²p = 0.22). PT interventions show potential for restoring muscle compliance and reducing stiffness, similar to MT and possibly more effective (cost-time relationship) compared to MV or FR.

The aim of the present study was to analyse the neuroendocrine stress response, psychological anxiety response, and perceived match importance (PMI) between expert and non-expert control gamers in an official competitive context. We analyzed, in 25 expert esports players and 20 control participants, modifications in their somatic anxiety, cognitive anxiety, self-confidence, PMI, and cortisol in a League of Legends competition. We found how expert esports players presented higher cortisol concentrations (Z = 155.5; p = 0.03; Cohen’s d = −0.66), cognitive anxiety (Z = 99.5; p = 0.001), and PMI (Z = 50.5; p < 0.001) before the competition than non-experts participants. We found a greater statistical weight in the cognitive variables than in the physiological ones. The results obtained suggest that real competitive context and player’s expertise were factors associated with an anticipatory stress response. The PMI proved to be a differentiating variable between both groups, highlighting the necessity to include subjective variables that contrast objective measurements.

The aim of the present study was to examine the role of of the classical physiological model of endurance running performance - maximal oxygen uptake (VO2max), %VO2max at ventilatory thresholds (VT), and lactate levels - and body composition on the prediction of short trail running performance. Eleven male trail runners (age 36.1 ± 6.5 years, sport experience 6.6 ± 3.8 years, mean ± standard deviation) were examined for fat mass and skeletal muscle mass, and performed a graded exercise test to measure VO2max, vVO2max and ventilatory thresholds. Also, they participated in a short 27-km trail run with a positive elevation of + 1750 m. Age, years of training and skeletal muscle mass did not correlate with race time (P>0.05). Fat mass and body mass index showed significant correlations with race time (P0.05). Only vVO2max (P=0.005) and VO2max (P=0.007) showed significant correlations. Multiple regression models for VO2max accounted for 57% of the total variance. The vVO2max model variable accounted for 60% and the fat mass model for 59.5%. Finally, the combined VO2max and fat mass model explained 83.9% of the total variance (P<0.05 in all models). The equation for this model is ‘Race time (min) = 203.9956 – 1.9001 * VO2max + 10.2816 * Fat mass %’ (R2 = 0.839, SEE = 11.1 min, P = 0.0007). The multiple regression model that includes VO2max and fat mass percentage most accurately predicted short trail running performance

We propose a cross-sectional study based on 980 maximal effort tests to quantify the effect of the calculation method of heart rate recovery (HRR) on its association with cardiorespiratory fitness (CRF). For five different time t₀ after exercise cessation, HRR has been calculated as: The associations between HRR indices and CRF were estimated from generalized estimating equations stratified by gender and adjusted for age and body mass index. For HRR indices based on exponential regression, no significant association with CRF was found, whereas the other HRR indices are associated with CRF when t₀ is at least 1 minute and is maximum for t₀ = 2 minutes for females and t₀ = 3 minutes for males.

The amputation rate in patients with diabetes is 15 to 40 times higher than in patients without diabetes. To avoid major complications, the identification of high-risk in patients with diabetes through early assessment highlights as a crucial action. Clinician assessment tools are scales in which clinical examiners are specifically trained to make a correct judgment based on patient outcomes that helps to identify at-risk patients and monitor the intervention. The aim of this study is to carry out a systematic review of valid and reliable Clinician assessment tools for measuring diabetic foot disease-related variables and analysing their psychometric properties. The databases used were PubMed, Scopus, SciELO, CINAHL, Cochrane, PEDro, and EMBASE. The search terms used were foot, ankle, diabetes, diabetic foot, assessment, tools, instruments, score, scale, validity, and reliability. The results showed 29 validated studies with 39 Clinician assessment tools and six variables. There is limited evidence on all of the psychometric characteristics of the Clinician assessment tools included in this review, although some instruments have been shown to be valid and reliable for the assessment of diabetic neuropathy (Utah Early Neuropathy Scale or UENS); ulceration risk (Queensland High Risk Foot Form or QHRFF); diabetic foot ulcer assessment, scoring, and amputation risk (Perfusion, extent, depth, infection and sensation scale or PEDIS and Site, Ischemia, Neuropathy, Bacterial Infection, and Depth score or SINBAD); and diabetic foot ulcer measurement (Leg Ulcer Measurement Tool LUMT).