UNASSIGNED: Almonds promote cardiometabolic health benefits; however, the ergogenic effect of almond supplementation on exercise recovery is less explored.
UNASSIGNED: We evaluated the impacts of raw, shelled, almonds on pain, muscle force production, and biochemical indices of muscle damage and inflammation during recovery from eccentrically biased exercise.
UNASSIGNED: Using a randomized, crossover design, 26 healthy adults (37 ± 6 y) ran downhill (-10%) for 30 min at a heart rate corresponding to 65%-70% of maximal oxygen consumption followed by 3-d recovery periods after 8-wk adaptations to either ALMOND (2 oz/d) or isocaloric pretzel (CONTROL) feedings. Volunteers consumed the study food immediately following the run and each day during recovery. Fasted blood samples were collected, and pain and muscle function were tested before the downhill run and over 72 h of recovery.
UNASSIGNED: Downhill running elicited moderate muscle damage (Time: P < 0.001; η2 = 0.395) with creatine kinase (CK) peaking after 24 h (CONTROL: Δ + 180% from baseline compared with ALMOND: Δ + 171% from baseline). CK was reduced after 72 h in ALMOND (Δ - 50% from peak; P < 0.05) but not CONTROL (Δ - 33% from peak; P > 0.05). Maximal torque at 120°/s of flexion was greater (Trial: P = 0.004; η2 = 0.315) in ALMOND compared with CONTROL at 24 h (Δ + 12% between trials; P < 0.05) and 72 h (Δ + 9% between trials; P < 0.05) timepoints. Pain during maximal contraction was lower (Trial: P < 0.026; η2 = 0.225) in ALMOND compared with CONTROL after 24 h (Δ - 37% between trials; P < 0.05) and 48 h (Δ - 33% between trials; P < 0.05). No differences (P > 0.05) in vertical jump force, C-reactive protein concentrations, myoglobin concentrations, and total antioxidant capacity were observed between trials.
UNASSIGNED: This study demonstrates that 2.0 oz/d of almonds modestly reduces pain, better maintains muscle strength, and reduces the CK response to eccentric-based exercise. This apparent effect of almond ingestion on exercise recovery has the potential to promote increased exercise adherence, which should be investigated in future studies.This trial was registered at the clinicaltrials.gov as NCT04787718.

For 88 years, biologists and engineers have sought to understand the hydrodynamics enabling dolphins to swim at speeds seemingly beyond their energetic capabilities, a phenomenon known as Gray\'s paradox. Hydromechanical models calculating the drag of swimming dolphins estimated power requirements for sustained high-speed swimming, which were physiologically impossible. Using an uncrewed aerial vehicle, we calculated the total power of free-ranging dusky dolphins (Lagenorhynchus obscurus) at speeds from 0.9 to 6.9 m s-1, deriving drag coefficients (Cd) and drag. Our results showed that the Cd decreased exponentially with speed, reducing drag by up to 89% at speeds >2 m s-1, with an additional 17% reduction during porpoising (>4.0 m s-1). At 6.9 m s-1, drag was 32 N, with a power of 15.8 W kg-1, nearly identical to the mass-specific allometric prediction for the maximum aerobic capacity of other mammals and physiologically possible. The Cd at speeds >2.5 m s-1 indicated reduced turbulence in the boundary layer around the dolphin\'s body, thereby reducing drag. The ability of dusky dolphins to swim at sustained high speeds resulted from an exponential decrease in Cd, which was further reduced by porpoising, thereby explaining the low drag and locomotory power that resolved Gray\'s paradox.

This study examines the associations between force and velocity characteristics of forward skating and off-ice speed, agility, and power of highly trained teenage ice hockey players. Players attending the Quebec ice hockey federation\'s off-season evaluation camp were invited to participate in this study. Final sample consists of 107 highly trained teenage ice hockey players (Males: n = 38; 13.83 ± 0.38 years; Females: n = 69: 14.75 ± 0.90 years). Individual force-velocity profiles (F-V) were determined during a 44 m skating sprint. Off-ice speed, agility, and power were measured using 30 m sprint, 5-10-5 agility, and standing long jump. Associations between F-V mechanical capabilities and off-ice indicators were analyzed with correlational analyses and multivariate analysis of covariance (MANCOVA). Results of pooled data indicate that the three off-ice measures had moderate associations with F0 and V0 and large associations with Pmax. Associations with Rfmax, Drf, and Sfv were moderate to small. F0 had stronger associations with off-ice performance in female players while V0 was more important with male players. MANCOVA identified 5-10-5 times as the better predictor for F0 while 30 m sprints times better predicted V0. To maximize physical attributes of skating ability, practitioners are encouraged to focus on a general physical preparation for highly trained teenage players. Prioritizing types of exercises that use change of direction or acceleration and linear speed should have distinct effects on F0 and V0 on the ice.

OBJECTIVE: In the context of clinical research, there is an increasing need for new study designs that help to incorporate already available data. With the help of historical controls, the existing information can be utilized to support the new study design, but of course, inclusion also carries the risk of bias in the study results.
METHODS: To combine historical and randomized controls we investigate the Fill-it-up-design, which in the first step checks the comparability of the historical and randomized controls performing an equivalence pre-test. If equivalence is confirmed, the historical control data will be included in the new RCT. If equivalence cannot be confirmed, the historical controls will not be considered at all and the randomization of the original study will be extended. We are investigating the performance of this study design in terms of type I error rate and power.
RESULTS: We demonstrate how many patients need to be recruited in each of the two steps in the Fill-it-up-design and show that the family wise error rate of the design is kept at 5 % . The maximum sample size of the Fill-it-up-design is larger than that of the single-stage design without historical controls and increases as the heterogeneity between the historical controls and the concurrent controls increases.
CONCLUSIONS: The two-stage Fill-it-up-design represents a frequentist method for including historical control data for various study designs. As the maximum sample size of the design is larger, a robust prior belief is essential for its use. The design should therefore be seen as a way out in exceptional situations where a hybrid design is considered necessary.

This systematic review explored how nature-based care settings influence engagement in mental health therapy. We relied on Joanna Briggs Institute\'s guidelines for systematic reviews to synthesise data from nine articles selected from an initial pool of 649 records retrieved from PubMed, CINAHL, ScienceDirect, SocINDEX, and JBI EPB. Synthesis revealed six analytical themes: nature as a therapeutic tool, therapeutic relationships, nature\'s impact on power balance, nature as a safe space, risk of nature and patient-centered care. The findings shed light on the benefits while highlighting some challenges that influence participation in mental health interventions. The findings suggest that integrating nature into mental health care could be an alternative or complementary approach to enhancing patient engagement. However, the specific types of mental health care of this impact vary. Robust clinical trials that examine the effectiveness of the reported benefits are recommended. Such studies must target specific patient groups, such as the young and the elderly. Longitudinal studies that examine the long-term effects and moderating factors are needed to strengthen the evidence base and enhance patient-centered care.

Practice theories offer potential to reveal, understand, and attribute value to the everyday thoughts and actions of dementia caregivers. Drawing on ethnographic data from research in rural South Africa, on everyday dementia care practices, we highlight the profound importance of mundane practices - especially \"sitting in wait\" - for optimizing wellbeing of people with dementia who are cared for at home. We draw attention to the structural drivers of homebased (informal) care, which is underpinned by state inaction. This situates the act of sitting in wait as both an act of care and an embodied form of structural powerlessness.

BACKGROUND: Guidance on co-production between researchers and people with lived experience was published in 2018 by the National Institute for Health and Care Research (NIHR) advisory group, previously known as INVOLVE. This guidance described sharing power as a key principle within co-production. Authentic sharing of power within co-produced mental health research does not always occur however and remains a challenge to achieve within many projects.
OBJECTIVE: To explore what has been learned about the sharing of power in co-production within mental health research since the publication of these guidelines, by synthesising qualitative literature relating to power within co-produced mental health research.
METHODS: We carried out a systematic review with thematic synthesis. We searched CINHAL, Embase and PubMed databases to identify qualitative or mixed-method studies relating to power within co-produced mental health research. Studies were independently screened by two reviewers for inclusion and appraised using the Critical Appraisal Skills Programme tool (CASP) for qualitative research.
RESULTS: We identified nine papers that met the criteria for inclusion and were included in the synthesis. Three themes were generated: (1) Battling to share power against a more powerful system, (2) Empowerment through relationships and (3) The journey is turbulent, but it is not supposed to be smooth.
CONCLUSIONS: Results highlight that power is pervasive, especially within the hierarchical systems research is often conducted within. Sharing power within co-produced mental health research is an ongoing complex process that is not intended to be easy. Respectful trusting relationships can help facilitate power sharing. However, ultimately meaningful change needs to come from research funders, universities and NHS providers.
UNASSIGNED: The study authors include a lived experience researcher who contributed to the review design, analysis and write-up.

Many clinical trials involve partially clustered data, where some observations belong to a cluster and others can be considered independent. For example, neonatal trials may include infants from single or multiple births. Sample size and analysis methods for these trials have received limited attention. A simulation study was conducted to (1) assess whether existing power formulas based on generalized estimating equations (GEEs) provide an adequate approximation to the power achieved by mixed effects models, and (2) compare the performance of mixed models vs GEEs in estimating the effect of treatment on a continuous outcome. We considered clusters that exist prior to randomization with a maximum cluster size of 2, three methods of randomizing the clustered observations, and simulated datasets with uninformative cluster size and the sample size required to achieve 80% power according to GEE-based formulas with an independence or exchangeable working correlation structure. The empirical power of the mixed model approach was close to the nominal level when sample size was calculated using the exchangeable GEE formula, but was often too high when the sample size was based on the independence GEE formula. The independence GEE always converged and performed well in all scenarios. Performance of the exchangeable GEE and mixed model was also acceptable under cluster randomization, though under-coverage and inflated type I error rates could occur with other methods of randomization. Analysis of partially clustered trials using GEEs with an independence working correlation structure may be preferred to avoid the limitations of mixed models and exchangeable GEEs.

The dynamic strength index (DSI) is calculated as the ratio between countermovement jump (CMJ) peak force and isometric mid-thigh pull (IMTP) peak force and is said to inform whether ballistic or strength training is warranted for a given athlete. This study assessed the impact of an individualized in-season resistance training program, guided by DSI on basketball players\' physical performance. Forty-three elite players (19.4 ± 2.9 years; 1.97 ± 0.08 cm; 89.1 ± 9.5 kg) were divided into an intervention group (IG) (27 players) and a control group (CG) (16 players). The IG was further split based on DSI into a ballistic group (DSI ≤ 0.90, 11 players) and a strength group (DSI > 0.90, 16 players). Over five weeks, participants underwent two weekly resistance sessions, with the IG following a DSI-based program and the CG a standard program. Performance was measured pre- and post-intervention through 20-m sprints, 505 change of direction test, CMJ, and IMTP. There were statistically significant improvements in the IG, notably in sprint times (η2 = 0.12-0.21, p < 0.05) and 505 test (η2 = 0.15-0.16, p < 0.05), predominantly in the strength group. The CG\'s performance was either unchanged or declined for different variables. Our results suggest that DSI-guided training effectively enhances basketball players\' physical performance within a competitive season.

The debt collection industry in the United States has grown in tandem with rising indebtedness. Prior research on debt and mental health mainly treats debt as a resource and liability rather than a power relationship between creditors and debtors. We study the mental health consequences of debt collection pressure using data from the National Longitudinal Survey of Youth-1997 Cohort (N = 7,236). Drawing on stress theory and health power resources theory, we posit collection pressure as a relational stressor that undermines well-being through negative interactions with debt collectors, financial strain, role strain, and stigma. We find that one of every four young adults in this cohort faced debt collection pressure by around age 40, with higher rates among low-income and Black young adults. Individual fixed-effects and lagged dependent variable regression models indicate that debt collection pressure is associated with increased psychological distress, with more severe consequences among low-income young adults.