26,927 findings
- 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 - MolecularStrong
Interactions between the genetic risk score and dietary factors, specifically trans fats, were observed, indicating that the effects of trans fats on CHD risk are more pronounced in individuals with a higher genetic risk score.
Understanding the interaction between genetics and diet can help tailor dietary recommendations for individuals at higher genetic risk for CHD.
Supports 2017 - Metabolic adaptationStrong
DNL fatty acid levels decrease on a low-carbohydrate (LC) diet and do not change on a low-fat (LF) diet.
Low-carbohydrate diets may be beneficial for reducing certain fatty acids associated with insulin resistance.
Supports 2018 - Metabolic adaptationStrong
Changes in dietary carbohydrate intake correlate with changes in DNL fatty acid levels (16:1n7 directly and 18:2n6 indirectly).
Monitoring carbohydrate intake may help in managing fatty acid levels related to insulin resistance.
Supports 2018 - Energy balanceStrong
A healthy omnivorous diet can lead to comparable clinical lab outcomes as a healthy vegan diet.
Health professionals can recommend a healthy omnivorous diet as an alternative to vegan diets for similar health outcomes.
Supports 2023 - Energy balanceStrong
The study involved identical twins who consumed an omnivorous diet before enrollment.
Understanding the dietary background of participants is crucial for interpreting the results.
Supports 2023 - MolecularStrong
At average weight loss, the effect of a higher PS amounted to a change of 0.20-0.28 cm per standard deviation in WCadjBMI.
The small effect size suggests that genetic factors may have limited practical implications for weight loss interventions.
Supports 2022 - Energy balanceStrong
There was a positive significant correlation between the percentage of messages responded to and class attendance (r=.45, P<.001).
Encouraging responses to messages may improve class attendance, suggesting a potential area for enhancing engagement.
Supports 2018 - 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 - MolecularStrong
Plant-based diets improve cardiovascular health by modulating gut microbiota and metabolites.
Practitioners may consider recommending plant-based diets for cardiovascular health.
Supports 2025New - Energy balanceStrong
Mean reported energy for restaurant foods is 16% higher than actual values.
Practitioners should be aware that reported energy values may not accurately reflect actual energy content in restaurant foods.
Supports 2009 - Energy balanceStrong
Mean reported energy for supermarket meals is 8% higher than actual values.
Practitioners should be aware that reported energy values may not accurately reflect actual energy content in supermarket meals.
Supports 2009 - Energy balanceStrong
Some individual restaurant items were up to 100% greater than reported energy.
Practitioners should be cautious of significant discrepancies in reported energy values for certain restaurant items.
Supports 2009 - 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 - CellularStrong
Participants expressed a strong preference for various types of weight loss help, with 100% wanting to read educational articles.
Practitioners should prioritize educational materials in their weight loss programs for this group.
Supports 2015 - Energy balanceStrong
The +C group had significantly increased %EI from alcohol and decreased %EI from protein compared to the −C group.
Practitioners may consider the impact of discretionary food choices on macronutrient distribution in energy-restricted diets.
Supports 2008 - CellularStrong
sACE2 decreased significantly on average at 6-months in the diet intervention.
Weight loss interventions may lead to significant decreases in sACE2 levels.
Supports 2021 - MolecularStrong
A stronger decline in sACE2 during the diet intervention was independently associated with improvements in metabolic health markers.
Improvements in metabolic health may be linked to changes in sACE2 levels during weight loss.
Supports 2021 - CellularStrong
Decrease in sACE2 during a weight loss diet intervention was associated with improvements in fat mass and markers of chronic inflammation.
Weight loss may lead to beneficial changes in inflammation and fat mass through sACE2 modulation.
Supports 2021 - Energy balanceStrong
During phase 1, weight change was inversely associated with change in total self-efficacy (SE) and its subscales.
Practitioners should consider the role of self-efficacy in weight loss interventions.
Supports 2013 - Energy balanceStrong
Only change in availability during phase 1 was a significant predictor of phase 2 weight change.
Focus on managing food availability to aid in weight maintenance post-weight loss.
Supports 2013 - Energy balanceStrong
Latina women experiencing food insecurity consumed fewer vegetables compared to those with food security (1.7 vs. 3.0 servings, p=0.02).
Practitioners should address food security to improve vegetable intake among Latina women.
Supports 2025New - Energy balanceStrong
Women with nutrition insecurity consumed fewer servings of vegetables compared to participants with nutrition security (1.7 vs. 2.5 servings, p=0.01).
Practitioners should focus on improving nutrition security to enhance vegetable intake.
Supports 2025New - 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