5,567 findings · Energy balance
- Energy balanceStrong
The FINDRISC questionnaire is predictive of impaired glucose metabolism in 55% of cases but less efficient in identifying individuals with IGT at 16%.
Healthcare practitioners can use the FINDRISC questionnaire to screen for impaired glucose metabolism effectively.
Supports 2014 - Energy balanceStrong
Mortality rates from CVD and all-cause mortality declined significantly among men with diabetes from 1971 to 2000, but not among women with diabetes.
This indicates a need for targeted interventions for women with diabetes to address mortality disparities.
Supports 2013 - Energy balanceStrong
Weight loss from dieting has not shown similar mortality benefits as bariatric surgery.
Weight loss strategies should consider the limitations of dieting compared to surgical options.
Refutes 2015 - Energy balanceStrong
Cardiovascular events did not decrease in obese and overweight diabetics despite a median weight loss of 6%.
Weight loss alone may not be sufficient to improve cardiovascular health in this population.
Refutes 2015 - Energy balanceStrong
In overweight and obese subjects undergoing a Mediterranean-type low-calorie diet, a different distribution of daily protein intake between meals and snacks does not result in significant differences in terms of fat mass loss and lean mass maintenance.
Practitioners can consider that protein distribution throughout the day may not significantly impact fat loss or muscle maintenance in similar dietary contexts.
Refutes 2021 - Energy balanceStrong
Hepatocyte-specific ALOXE3 expression reduces weight gain and hepatic steatosis.
Enhancing ALOXE3 expression could be a strategy for reducing obesity-related liver issues.
Supports 2018 - Energy balanceStrong
Thiazolidinediones (TZDs) are associated with weight gain, limiting their use as first-line agents for type 2 diabetes.
Practitioners should be cautious in prescribing TZDs due to their association with weight gain.
Supports 2021 - Energy balanceStrong
The mortality of German type 2 diabetes (T2D) patients is approximately 3.1 times higher than that of the general population.
Healthcare providers should be aware of the significantly higher mortality risk in T2D patients compared to the general population.
Supports 2020 - Energy balanceStrong
The cardiovascular risk in the current DMP for T2D patients is not adequately addressed, indicating potential for improvement.
There is a need for healthcare systems to enhance cardiovascular care in T2D management programs.
Qualifies 2020 - Energy balanceStrong
Twenty percent of survey respondents had a high overall score on the Eating Attitudes Test (EAT-26), indicating high rates of disordered eating behaviors.
Practitioners should be aware of the prevalence of disordered eating in this population when addressing weight loss.
Supports 2023 - Energy balanceStrong
All interview participants reported engaging in and/or observing disordered eating behaviors in efforts to lose weight.
Understanding the social dynamics of disordered eating can inform interventions.
Supports 2023 - Energy balanceStrong
Disordered eating behaviors produced ripples of embodied experiences affecting family, friends, and coworkers of dieters.
Practitioners should consider the social context of disordered eating when developing support strategies.
Supports 2023 - Energy balanceStrong
Concerns exist regarding the cardiovascular safety of diets, particularly related to weight fluctuations and ketogenic diets.
Practitioners should be cautious about the cardiovascular implications of certain diets.
Qualifies 2024 - Energy balanceStrong
There is currently no definitive evidence that carbohydrate reduction per se durably lowers glycaemia in type 2 diabetes.
Caution against assuming that reducing carbohydrates will always improve glycaemic control.
Refutes 2024 - Energy balanceStrong
Pre-intervention, the score of the survey of adherence to the Mediterranean diet was relatively low (7.44 ± 0.22 points).
Understanding baseline adherence levels can help tailor interventions effectively.
Supports 2025New - Energy balanceStrong
The majority of patients with type 2 diabetes (T2D) had not reached the treatment goals for HbA1c, LDL-C, or blood pressure.
Healthcare providers should focus on improving risk factor control in T2D patients.
Supports 2014 - Energy balanceStrong
An increase in carbohydrate intake at the expense of fat intake is believed by some authors to be responsible for the obesity epidemic in North America and parts of Europe.
Practitioners should consider the implications of carbohydrate and fat intake on obesity.
Supports 2018 - Energy balanceStrong
Obesity rates are rising in China despite a shift from a traditional low-fat, high-carb diet to a relatively high-fat, lower-carb diet.
Practitioners should be cautious about attributing obesity solely to dietary macronutrient composition.
Refutes 2018 - Energy balanceStrong
The T2D prediction model achieves 95.27% ROC-AUC, with 88.48% sensitivity and 87.19% specificity.
The model can be effectively used for early detection of T2D in diverse populations.
Supports 2026New - Energy balanceStrong
The model handles missing data naturally without complex preprocessing and imputation.
The model's ability to manage incomplete data makes it suitable for real-world applications.
Supports 2026New - Energy balanceStrong
The type of diet that may be most beneficial for weight loss remains controversial.
Practitioners should be aware of the ongoing debate regarding diet effectiveness.
Qualifies 2021 - Energy balanceStrong
No significant differences were seen between groups in energy intake (EI), eating rate (ER), or energy expenditure.
Practitioners should be aware that adding the ELMM device did not significantly change energy intake or expenditure outcomes.
Refutes 2018 - Energy balanceStrong
The most beneficial type of diet for weight loss remains up for debate.
Practitioners should be aware of the ongoing discussions about diet effectiveness.
Qualifies 2024 - Energy balanceStrong
Current genomic risk scores alone may not lead to superior weight loss.
Practitioners should not rely solely on genomic risk scores for weight loss strategies.
Refutes 2026New