Underpinning the Food Matrix Regulation of Postexercise Myofibrillar Protein Synthesis by Comparing Salmon Ingestion With the Sum of Its Isolated Nutrients in Healthy Young Adults.

BACKGROUND: Protein is most commonly consumed as whole foods as opposed to single nutrients. However, the food matrix regulation of the postprandial muscle protein synthetic response has received little attention. OBJECTIVES: The purpose of this study was to assess the effects of eating salmon (SAL) and of ingesting the same nutrients as an isolated mixture of crystalline amino acids and fish oil (ISO) on the stimulation of postexercise myofibrillar protein synthesis (MPS) and whole-body leucine oxidation rates in healthy young adults. METHODS: Ten recreationally active adults (24 ± 4 y; 5 men, 5 women) performed an acute bout of resistance exercise, followed by the ingestion of SAL or ISO in a crossover fashion. Blood, breath, and muscle biopsies were collected at rest and after exercise during primed continuous infusions of L-[ring-2H5]phenylalanine and L-[1-13C]leucine. All data are presented as means ± SD and/or mean differences (95% CIs). RESULTS: Postprandial essential amino acid (EAA) concentrations peaked earlier (P = 0.024) in the ISO group than those in the SAL group. Postprandial leucine oxidation rates increased over time (P < 0.001) and peaked earlier in the ISO group (1.239 ± 0.321 nmol/kg/min; 63 ± 25 min) than those in the SAL group (1.230 ± 0.561 nmol/kg/min; 105 ± 20 min; P = 0.003). MPS rates for SAL (0.056 ± 0.022 %/h; P = 0.001) and ISO (0.046 ± 0.025 %/h; P = 0.025) were greater than the basal rates (0.020 ± 0.011 %/h) during the 0- to 5-h recovery period, with no differences between conditions (P = 0.308). CONCLUSION: We showed that the postexercise ingestion of SAL or ISO stimulate postexercise MPS rates with no differences between the conditions. Thus, our results indicate that ingesting protein from SAL as a whole-food matrix is similarly anabolic to ISO in healthy young adults. This trial was registered at www. CLINICALTRIALS: gov as NCT03870165.

The Effectiveness of Exercise Interventions to Improve Gait and Balance in Individuals with Lower Limb Amputations: A Systematic Review and Meta-analysis.

OBJECTIVE: To investigate the effectiveness of exercise interventions to improve gait and balance in individuals with lower limb amputations. METHODS: A systematic search was conducted on the PubMed, Scopus, Web of Science, SPORTDiscuss, and CINAHL databases until January 2022. Only randomized control trials that evaluated adults (>18 years old) with lower limb amputations and compared any exercise intervention with a traditional prosthetic training were included in the study. Two independent researchers screened articles for inclusion, extracted data, and evaluated the methodological quality of the trials. Findings were summarized and meta-analysis was conducted. RESULTS: Fifteen randomized clinical trials with 594 participants were included in the study and 12 in quantitative synthesis. Meta-analysis indicates that exercise interventions significantly improved walking distance measured with the 2-Minute Walking Test compared to traditional training (mean difference-MD: 8.38, 95% CI: 2.54-14.23; P < 0.01). Gait speed performance also significantly improved after exercise interventions compared to traditional training (MD: 0.10, 95% CI, 0.03-0.16, P <0.01). Meta-analysis of exercise interventions compared to traditional training on the Locomotor Capabilities Index, Timed Up and Go, and Activities-specific Balance Confidence did not show a statistically significant difference (P > 0.05). However, the qualitative analysis demonstrated significant improvement in balance performance after different exercise interventions and traditional training. The studies demonstrated overall good methodological quality. CONCLUSION: Specific exercise interventions are more effective than traditional prosthetic training to improve walking speed and walking distance among people with lower limb amputation. Findings on balance outcomes are inconsistent and deserve further exploration.

Effectiveness of Physical Therapy Interventions in Reducing Fear of Falling Among Individuals With Neurologic Diseases: A Systematic Review and Meta-analysis.

OBJECTIVE: To summarize the effectiveness of physical therapy interventions to reduce fear of falling (FOF) among individuals living with neurologic diseases. DATA SOURCES: PubMed, Physiotherapy Evidence Database, Scopus, Web of Science, PsycINFO, Cumulative Index to Nursing and Allied Health, and SportDiscuss were searched from inception until December 2019. STUDY SELECTION: Clinical trials with either the primary or secondary aim to reduce FOF among adults with neurologic diseases were selected. DATA EXTRACTION: Potential articles were screened for eligibility, and data were extracted by 2 independent researchers. Risk of bias was assessed by the Cochrane Risk of Bias tool for randomized controlled trials and the National Institutes of Health Quality Assessment Tool for pre-post studies. A meta-analysis was performed among trials presenting with similar clinical characteristics. The Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) was used to rate the overall quality of evidence. RESULTS: Sixty-one trials with 3954 participants were included in the review and 53 trials with 3524 participants in the meta-analysis. The included studies presented, in general, with a low to high risk of bias. A combination of gait and balance training was significantly more effective compared with gait training alone in reducing FOF among individuals with Parkinson disease (PD) (mean difference [MD]=11.80; 95% CI, 8.22-15.38; P<.001). Home-based exercise and leisure exercise demonstrated significant improvement in reducing FOF over usual care in multiple sclerosis (MS) (MD=15.27; 95% CI, 6.15-24.38; P=.001). No statistically significant between-groups differences were reported among individuals with stroke and spinal cord injury. The overall quality of evidence presented in this review ranges from very low to moderate according to the assessment with the GRADE approach. CONCLUSIONS: Gait with lower limb training combined with balance training is effective in reducing FOF in individuals with PD. Also, home-based or leisure exercise is effective among individuals with MS. However, because of several limitations of the included studies, further research is needed to examine the effectiveness of FOF intervention among individuals with neurologic diseases.

Fall detection from a manual wheelchair: preliminary findings based on accelerometers using machine learning techniques.

Automated fall detection devices for individuals who use wheelchairs to minimize the consequences of falls are lacking. This study aimed to develop and train a fall detection algorithm to differentiate falls from wheelchair mobility activities using machine learning techniques. Thirty, healthy, ambulatory, young adults simulated falls from a wheelchair and performed other wheelchair-related mobility activities in a laboratory. Neural Network classifiers were used to train the algorithm developed based on data retrieved from accelerometers mounted at the participant's wrist, chest, and head. Results indicate excellent accuracy to differentiate between falls and wheelchair mobility activities. The sensors mounted at the wrist, chest, and head presented with an accuracy of 100%, 96.9%, and 94.8%, respectively, using data from 258 falls and 220 wheelchair mobility activities. This pilot study indicates that a fall detection algorithm developed in a laboratory setting based on fall accelerometer patterns can accurately differentiate wheelchair-related falls and wheelchair mobility activities. This algorithm should be integrated into a wrist-worn devices and tested among individuals who use a wheelchair in the community.

Sensitivity of Apple Watch fall detection feature among wheelchair users.

A reliable fall detection device is crucial to minimize long-term consequences of falls among wheelchair users. This study examines the sensitivity of Apple Watch to detect intentional falls from a wheelchair. Twenty-five able bodied (age: 21.9 ± 2.5 years) participated in a protocol in which they intentionally fell out of a wheelchair in a laboratory setting. Each participant wore an Apple Watch Series 5 and performed 3 falls in the forward, right and left sideways, and backward directions onto a crash pad totaling 12 falls each. The Apple Watch was manually checked after each fall to determine if the device registered a fall. From 300 fall trials captured, the Apple Watch detected 14 falls showing a sensitivity of 4.7%, a false negative rate of 95.3%. Logistic regression showed that participant's height, impact force, lower limb functioning, and fall direction are parameters that may influence the ability of the Apple Watch to detect falls from a wheelchair. The Apple Watch fall detection feature presented with a very poor sensitivity to detect intentional falls from a wheelchair among able bodied young adults. Due to the high incidence and consequences of falls, a reliable fall detection device specific for wheelchair users is warranted.

Insights on an automated fall detection device designed for older adult wheelchair and scooter users: A qualitative study.

BACKGROUND: Falls are a concern for older adults who use wheelchairs and scooters. Many wheelchair and scooter users require assistance to recover from a fall and often lie on the ground waiting for assistance for 10 min or more. An automated fall detection device may facilitate communication with care partners and expedite recovery; however, there is limited research on the specifications and features of an automated fall detection device preferred by older adults who use wheelchair and scooter. OBJECTIVE: To examine the desired specifications, perceived ease of use and perceived usefulness of an automated fall detection device desired by older adults who use a wheelchair or scooter through semi-structured interviews. METHODS: Fifteen full-time wheelchair and scooter users (9 females; age: 68 ± 5 years) were interviewed from July to November 2020. Interviews were transcribed, coded, and analyzed. RESULTS: Preferred features include wireless charging, a watch form, ability to change the individual who is contacted in the event of a fall, and the ability to disable a notification in the event of a false alarm. Participants felt that an automated fall detection device would be useful and easy to use. CONCLUSIONS: Older adults who use a wheelchair or scooter indicated the need for an automated fall detection device to facilitate recovery from a fall. Participants reported challenges with previous fall detection devices and the need for specific design requirements to facilitate ongoing use. Participants' insights inform the design of a fall detection device to maximize usability and prevent technology abandonment.