213 findings · Neural · published 2022+
- NeuralStrong
Maximum strength increased marginally significantly by 4.6 kg during the intervention.
Practitioners can expect modest strength improvements with low-intensity training in this population.
Supports 2025New - NeuralStrong
A gradual decrease in total body fat and no decrease in appendicular lean mass (ALM) are significantly independently associated with higher cognitive scores compared with other trajectories.
Weight loss strategies should focus on reducing body fat while preserving lean mass to support cognitive health.
Supports 2025New - NeuralStrong
Differences in cognitive score were large for sarcopenia, but not for obesity.
Addressing sarcopenia may be crucial for maintaining cognitive function in this population.
Supports 2025New - NeuralStrong
Weight loss approaches that preserve ALM and function may lead to reduced cognitive decline compared with weight loss alone.
Practitioners should consider strategies that maintain lean mass during weight loss to support cognitive health.
Supports 2025New - NeuralStrong
The intervention group exhibited improved self-efficacy (Z = 4.06, P < 0.001) compared to the control group.
Enhancing self-efficacy through targeted interventions can support behavior change in physically inactive young adults.
Supports 2024 - NeuralStrong
Powerlifters trained an average of 4.25 times per week, performing competition-style lifts at specific frequencies: squat 1.64 times, bench press 2.48 times, and deadlift 1.37 times per week.
Trainers should consider the average training frequency and specific lift focus when designing programs for powerlifters.
Supports 2025New - NeuralStrong
Programming decisions for competition lifts were influenced by athlete characteristics such as gender, age, and training status.
Coaches should consider individual athlete characteristics when designing training programs for powerlifters.
Supports 2025New - NeuralStrong
Small between group effect sizes were observed comparing 4-6 vs. 7-9+ RPE and 7-9 vs. 7-9+ RPE.
While differences exist, they are minimal, suggesting similar effectiveness across RPE levels.
Qualifies 2023 - NeuralStrong
The absolute RIRDIFF was significantly greater when predicting 4RIR (0.993 ± 0.106) versus 1RIR (0.765 ± 0.080).
Practitioners should note that predicting RIR varies significantly based on the number of repetitions intended.
Supports 2023 - NeuralStrong
Raw RIRDIFF was significantly higher in weeks 1-4 compared to weeks 5-6 (all p ≤ 0.005).
Trainers may need to adjust RIR predictions as training progresses.
Supports 2023 - NeuralStrong
Subjects tended to overpredict RIR in lower repetition sets and underpredict RIR in higher repetition sets.
Practitioners should be aware that athletes may misjudge their effort based on the number of repetitions they are performing.
Supports 2023 - NeuralStrong
Trained men can predict RIR close to failure within less than 1 repetition of error under various conditions.
Athletes can accurately gauge their remaining repetitions close to failure, which can inform training intensity.
Supports 2023 - NeuralStrong
Non-nutrient factors of the diet may influence appetite and energy intake as much as macronutrient composition.
Practitioners should explore non-nutrient factors when addressing appetite and energy intake.
Qualifies 2023 - NeuralStrong
Participants with food and nutrition insecurity had more symptoms of depression and anxiety compared to participants with food and nutrition security (p<0.05).
Practitioners should consider mental health support for those facing food and nutrition insecurity.
Supports 2025New - NeuralStrong
One of two synergist muscles consistently demonstrated higher activity levels during the exercises.
Understanding which muscles are more active can help in designing targeted training programs.
Supports 2024 - NeuralStrong
The course focused on psychological dangers associated with avoiding carbohydrates.
Incorporating psychological support in dietary programs can enhance effectiveness.
Supports 2023 - NeuralStrong
Psychological capabilities and reflective motivation have direct effects on the frequency of resistance training participation among GLP-1 medication users.
Practitioners should focus on enhancing psychological capabilities and motivation to improve resistance training frequency in GLP-1 users.
Supports 2024 - NeuralStrong
Psychological capabilities directly or indirectly influence all resistance training participation characteristics among GLP-1 medication users.
Enhancing psychological capabilities is crucial for improving overall resistance training participation.
Supports 2024 - NeuralStrong
Early change in eating-related self-regulation is a stronger predictor of longer-term change in eating-related self-efficacy than the reverse.
Focusing on enhancing self-regulation may be crucial for improving self-efficacy in obesity treatment.
Supports 2025New - NeuralStrong
Tirzepatide is associated with a lower risk of dementia versus SGLT2 inhibitors (HR 0.66, 95% CI 0.47-0.93, p = 0.02).
Tirzepatide may be a preferable treatment option for reducing dementia risk in type 2 diabetes patients compared to SGLT2 inhibitors.
Supports 2026New - NeuralStrong
On days participants reported higher-than-average incidental affect, intention, and self-monitoring, they were more likely to engage in resistance training.
Practitioners should consider the role of daily emotional states and self-monitoring in promoting resistance training among GLP-1 users.
Supports 2026New - NeuralStrong
Participants with higher levels of incidental affect, intention, and self-monitoring consistently showed a greater likelihood of participating in resistance training.
Encouraging self-monitoring and positive emotional states may enhance resistance training adherence.
Supports 2026New - NeuralStrong
On days with higher-than-average affective attitude and perceived capabilities, participants were more likely to intend to engage in resistance training.
Fostering positive attitudes and self-efficacy can be beneficial in promoting resistance training intentions.
Supports 2026New - NeuralStrong
Labeling foods as 'good' or 'bad' can lead to disordered eating and feelings of failure.
Practitioners should avoid labeling foods in a binary manner to prevent negative psychological effects.
Supports 2025New