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Kelsey M. Rynkiewicz, Lauren A. Fry and Lindsay J. DiStefano

Clinical Scenario: Chronic exertional compartment syndrome (CECS) is a condition related with ischemia of the body’s tissue due to increases in intracompartmental pressures, which involves, among other symptoms, pain with exertion. CECS is often overlooked or misdiagnosed due to an ambiguous presentation. Diagnostic accuracy of CECS and subsequent management can be improved when contributing factors are known. Research is lacking on the type of patient most likely to experience CECS, highlighting the need for identification of common demographic characteristics among affected individuals. Clinical Question: What are the common demographic characteristics among patients exhibiting CECS of the lower leg? Summary of Key Findings: Four studies were identified (1 prospective consecutive study, 2 retrospective reviews, and 1 retrospective cohort study) that examined common characteristics among patients with CECS. Conflicting evidence exists on whether CECS is more commonly seen in men or in women. CECS has often been reported in young, active individuals but may present in older populations as well. Soccer, field hockey, lacrosse, competitive running, and speed skating have been associated with an increased likelihood of CECS development. Clinical Bottom Line: Current evidence has identified commonalities in sex, age, and sport participation as characteristics often present among individuals experiencing lower leg CECS. Other factors, such as overuse, trauma, diabetes, and gait mechanics, have also been identified in association with CECS. Further data through future prospective studies will help confirm the type of patient mostly likely to experience CECS. Strength of Recommendation: Grade B evidence exists that certain sex, age, and sport participation demographic characteristics are common among patients with CECS of the lower leg.

Open access

David S. Walsh and Paul M. Wright

Open access

Alison Griffin, Tim Roselli and Susan L. Clemens

Background: Health benefits of physical activity (PA) accrue with small increases in PA, with the greatest benefits for those transitioning from inactivity to any level of PA. This study examined whether self-reported PA time in Queensland adults changed between 2004 and 2018. Methods: The Queensland government conducts regular cross-sectional telephone surveys. Between 2004 and 2018, adults aged 18–75 years answered identical questions about their weekly minutes of walking, moderate PA, and vigorous PA. Hurdle regression estimated the average annual change in weekly minutes of PA overall and by activity type, focusing on sociodemographic differences in trends. Results: The sample size averaged 1764 (2004–2008) and 10,188 (2009–2018), totaling 107,171 participants aged 18–75 years. Unadjusted PA increased by 10 minutes per week per year (95% confidence interval [CI], 8.8–11.1) overall, with increases for most subgroups. Adjusted PA increased by 10.5 minutes per week per year (95% CI, 9.4–11.7). Trends differed by employment—employed adults and those not in the labor force increased by 14.3 (95% CI, 12.8–15.8) and 2.2 minutes per week per year (95% CI, 0.4–4.0), respectively, with no increase for unemployed adults. The increases were due to both an increased prevalence of doing any activity and an increased average duration among active adults. Conclusions: Since 2004, PA time has increased for Queensland adults, with substantial variability by employment status.

Open access

Paul M. Wright and David Walsh

Don Hellison (1938–2018) was a leader and trailblazer in sport and physical education pedagogy. Early in his career, he was an advocate for humanistic physical education. His engaged approach to scholarship culminated in the development of the Teaching Personal and Social Responsibility (TPSR) model, which is now recognized as a best practice for promoting social and emotional learning in physical education. The TPSR model has also been widely applied in the field of sport-based youth development. This is the introduction to the special issue devoted to Don’s life and legacy. It provides opening comments from the guest editors and a brief overview of the articles in the special issue.

Open access

Jordan Bettleyon and Thomas W. Kaminski

Clinical Scenario: Low-level laser therapy (LLLT) is a controversial topic for its use in athletic recovery, mainly due to inconsistency in research regarding the application of LLLT. Articles on LLLT have assessed its effectiveness in untrained humans through pain scales, functional scales, and blood draws, and it has been found capable in nonathletic rehabilitative use. The controversy lies with LLLT in the recovering athlete. Not only do athletes need to perform at high levels, but each sport is unique in the metabolic demands placed on the athletes’ bodies. This modality can alter chemical mediators of the inflammatory process, specifically blood lactate (BL) and creatine kinase (CK). During soccer contests, it is a common problem for athletes to have an average CK level of 800 U/L and BL of 8 mmol·L, increasing delayed-onset muscle soreness and fatigue. Micro-CK level elevation is associated with cellular membrane damage, localized hypoxia, and electrolyte imbalances, hindering the recovery process. Clinical Question: Does LLLT decrease muscle-damaging mediators effecting player fatigue and delayed-onset muscle soreness after performance in soccer athletes versus sham treatment? Summary of Key Findings: In 3 studies, preperformance, postperformance, or preperformance and postperformance LLLT was performed and evaluated BL (2 of 3) and CK (2 of 3). In each article, BL and CK showed a significant decrease (P < .05) when performed either preperformance or postperformance versus the control group. The greatest decrease in these mediators was noticed when postperformance laser therapy was performed. Clinical Bottom Line: LLLT at 10, 30, or 50 J performed at a minimum of 2 locations on the rectus femoris, vastus lateralis, and vastus medialis bilaterally for 10 seconds each is significant in decreasing blood serum levels of BL and CK when performed postexercise. Strength of Recommendations: All 3 articles obtained a Physiotherapy Evidence Database score of ≥8/10.

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Daniel C. McFarland, Alexander G. Brynildsen and Katherine R. Saul

Most upper-extremity musculoskeletal models represent the glenohumeral joint with an inherently stable ball-and-socket, but the physiological joint requires active muscle coordination for stability. The authors evaluated sensitivity of common predicted outcomes (instability, net glenohumeral reaction force, and rotator cuff activations) to different implementations of active stabilizing mechanisms (constraining net joint reaction direction and incorporating normalized surface electromyography [EMG]). Both EMG and reaction force constraints successfully reduced joint instability. For flexion, incorporating any normalized surface EMG data reduced predicted instability by 54.8%, whereas incorporating any force constraint reduced predicted instability by 43.1%. Other outcomes were sensitive to EMG constraints, but not to force constraints. For flexion, incorporating normalized surface EMG data increased predicted magnitudes of joint reaction force and rotator cuff activations by 28.7% and 88.4%, respectively. Force constraints had no influence on these predicted outcomes for all tasks evaluated. More restrictive EMG constraints also tended to overconstrain the model, making it challenging to accurately track input kinematics. Therefore, force constraints may be a more robust choice when representing stability.

Open access

Xin He, Hio Teng Leong, On Yue Lau, Michael Tim-Yun Ong and Patrick Shu-Hang Yung

Context: Altered lower-limb biomechanics have been observed during landing task in patients with anterior cruciate ligament reconstruction (ACLR), which increases the risk of secondary anterior cruciate ligament injury. However, the alteration in neuromuscular activity of the lower-extremity during landing task is not clear. Objective: To compare the muscle activity pattern assessed by electromyography between the involved limb of patients with ACLR and the contralateral limb or control limb of matched healthy subjects during landing task. Evidence Acquisition: Database of PubMed, Ovid, Scopus, and Web of Science from the inception of the databases until July 2019, using a combination of keywords and their variations: (anterior cruciate ligament OR ACL) AND (electromyography OR EMG) AND (landing OR land). Studies that assessed lower-extremity muscle activity patterns during landing task in patients with ACLR and compared them either with the contralateral side or healthy controls were included. Evidence Synthesis: Of the 21 studies, 16 studies reported altered muscle activity pattern during landing tasks when compared with either the healthy controls or the contralateral side. For the specific muscle activity patterns, the majority of the studies showed no significant difference in reactive muscle activity, and comparisons across studies revealed a possible trend toward the early onset of quadriceps and hamstring activity and increased cocontraction of the involved limb. There are inconsistent findings regarding the alteration in muscle timing and preparatory muscle activity. Conclusions: Patients with ACLR displayed an altered muscle activity pattern during landing tasks, even though they were considered to be capable for sport return. Nevertheless, a firm conclusion could not be drawn due to great heterogeneity in the subject selection and study methods.

Open access

Christopher J. Burcal, Sunghoon Chung, Madison L. Johnston and Adam B. Rosen

Background: Region-specific patient-reported outcomes (PROs) are commonly used in rehabilitation medicine. Digital versions of PROs may be implemented into electronic medical records and are also commonly used in research, but the validity of this method of administration (MOA) must be established. Purpose: To determine the agreement between and compare the test–retest reliability of a paper version (FAAM-P) and digital version (FAAM-D) of the Foot and Ankle Ability Measure (FAAM). Study Design: Randomized, nonblinded, crossover observational study. Methods: A total of 90 adults were randomized to complete the FAAM-P or FAAM-D first, and then completed the second MOA (first day [D1]). The FAAM-D was a digital adaptation of both FAAM-P subscales on Qualtrics. Identical test procedures were completed 1 week later (D2). Data were removed if a participant scored 100% on both MOA, reported injury between D1 and D2, or did not complete both MOA. Agreement was assessed on 46 participants between the 2 MOA using intraclass correlation coefficients (ICC) at D1. There was good-to-excellent test–retest reliability for the FAAM activities of daily living. Results: The authors observed good agreement between the FAAM-P and FAAM-D for the activities of daily living (ICC = .88) and sport scales (ICC = .87). Test–retest reliability was good-to-excellent for the FAAM activities of daily living (FAAM-P: ICC = .87; FAAM-D: ICC = .89) and sport (FAAM-P: ICC = .71; FAAM-D: ICC = .91). Conclusions: The MOA does not appear to affect the responses on the FAAM; however, the authors observed slightly higher reliability on the FAAM-D. The FAAM-D is sufficient to be used for generating practice-based evidence in rehabilitation medicine.

Open access

Jillian J. Haszard, Kim Meredith-Jones, Victoria Farmer, Sheila Williams, Barbara Galland and Rachael Taylor

Although 24-hour time-use data are increasingly being examined in relation to indices of health, consensus has yet to be reached about the best way to present estimates from compositional analyses. This analysis explored the impact of different presentations of results when assessing the relationship between 24-hour time-use and body mass index (BMI) z-score using compositional analysis of 5-day actigraphy data in 742 children. First it was found that reallocating non-wear time to day-time components only (sedentary behavior, light physical activity, and moderate-to-vigorous physical activity [MVPA]) before normalization to 24 hours provided stronger estimates with BMI z-score than simply removing non-wear time before normalization. Estimates for sleep time were substantially affected, where associations with BMI z-score nearly doubled (mean difference [95% CI] in BMI z-score for 10% longer sleep were −0.20 [−0.32, −0.08] compared to −0.11 [−0.23, 0.002]). Presenting estimates in terms of a greater number of minutes in a component, relative to all others, showed MVPA to be the strongest predictor of BMI z-score, while estimates in terms of the proportion of minutes showed sleep to be the strongest predictor. Both presentations have value. However, presentations in terms of one-to-one “substitutions” of time may need careful interpretation due to the uneven distribution of time in each component. In conclusion, when analyzing relationships between 24-hour time-use and health outcomes, non-wear time and presentation of estimates can impact final conclusions. As a result, the current understanding of the importance of sleep for child health may be underestimated.