582 findings · Neural
- 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
High GI meals are associated with lower satiety at peak glycemia compared to low GI meals.
High GI foods may lead to increased hunger shortly after consumption, which could affect dietary choices.
Supports 2019 - NeuralStrong
High GI meals result in greater late postprandial hunger compared to low GI meals.
Practitioners should be aware that high GI meals may lead to increased hunger later, potentially influencing overall caloric intake.
Supports 2019 - NeuralStrong
A high glycemic index (GI) meal elicits increased hunger and late postprandial activation of brain areas linked to food cravings.
Practitioners should be aware that high GI meals can increase hunger and cravings, potentially leading to overeating.
Supports 2020 - NeuralStrong
A high GI meal may promote overeating due to insulin dose deviations caused by hyperglycemia or hypoglycemia.
Practitioners should consider the impact of GI on insulin management to prevent overeating.
Supports 2020 - NeuralStrong
94% of participants significantly improved their scores on the validated Mindful Eating Questionnaire (P=.001).
Practitioners can consider using mindful eating technologies to enhance awareness and improve eating behaviors.
Supports 2019 - NeuralStrong
The primary reasons for wanting to lose weight among participants were improving health (88%), appearance (78%), and increasing energy level (75%).
Understanding these motivations can help tailor weight loss programs to meet the needs of this demographic.
Supports 2015 - 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
Total repetition count for squat performance was lower at day 10 compared to day 8 within the 1.8g.kg-1.d-1 protein group.
Practitioners should monitor performance over consecutive training days, especially with lower protein intake.
Supports 2017 - NeuralStrong
The findings contrast with previous studies that have shown change in restraint to be the strongest predictor of weight loss.
Interventions may need to focus more on hunger management rather than solely on restraint.
Qualifies 2012 - 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
Adherence to carbohydrate allocation was easier in moderate-low carbohydrate diet (MCD) and low-carbohydrate diet (LCD) groups compared to VLCKD.
Moderate carbohydrate diets may be more sustainable for individuals seeking to adhere to dietary restrictions.
Supports 2019 - NeuralStrong
The ELMM device is capable of measuring bite count interval (BCI) in free-living eating situations.
Practitioners can utilize the ELMM device to help clients monitor their eating behaviors effectively.
Supports 2018 - NeuralStrong
Anticipating obstacles can have both detrimental effects on optimism and beneficial effects on weight regulation.
Practitioners should help clients anticipate challenges to improve weight regulation.
Qualifies 2013 - 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 - NeuralStrong
Attitudes, perceived behavioral control, and feeling supported about wellness behaviors significantly improved in the wellness group (P = .002; P = .019; P = .006).
Wellness groups can enhance psychological factors that support health behavior changes.
Supports 2020