26,927 findings
- Energy balanceStrong
The presence of active BAT is decreased in males and overweight individuals.
Targeting BAT activation may be particularly beneficial for males and those who are overweight.
Supports 2010 - NeuralStrong
The proposed prediction models can detect periods of food intake with >95% accuracy.
This suggests that objective monitoring of food intake can be highly accurate.
Supports 2009 - NeuralStrong
The prediction models can predict the mass of ingested food with >91% accuracy for solids and >83% accuracy for liquids.
This suggests that the method can provide accurate estimates of food mass.
Supports 2009 - Energy balanceStrong
Further research is needed to evaluate the efficacy, cost-effectiveness, and long-term maintainability of ICT-driven personal health technologies.
Researchers and practitioners should prioritize studies that assess the long-term impacts of these technologies on CVD prevention.
Supports 2015 - Energy balanceStrong
The relationship between glucose-lowering approaches and macrovascular complications is less clear.
Practitioners should be cautious in assuming glucose-lowering therapies will reduce macrovascular complications.
Qualifies 2016 - MolecularStrong
Insulin resistance (IR) is a cardinal feature of type 2 diabetes mellitus (T2DM) and contributes to elevated cardiovascular disease (CVD) risk.
Addressing insulin resistance is crucial in managing T2DM and reducing CVD risk.
Supports 2017 - Metabolic adaptationStrong
Initiation of protease inhibitor (PI) therapy in HIV-infected patients leads to significant increases in glucose (+9+/-3 mg/dl; p = .0136), insulin (+12.2+/-4.9 U/ml; p = .023), triglycerides (+53+/-17 mg/dl; p = .0069), and total and LDL cholesterol (+32+/-11 and +18+/-5 mg/dl; p = .0082 and .0026, respectively).
Healthcare providers should monitor glucose and lipid levels in HIV patients starting PI therapy due to potential metabolic changes.
Supports 2000 - Metabolic adaptationStrong
Changes in glucose and lipid metabolism induced by PI therapy occur without significant changes in weight or fat distribution.
Clinicians should be aware that metabolic changes can occur in HIV patients on PI therapy without changes in weight.
Supports 2000 - Energy balanceStrong
The article questions the scientific rationale for promoting reduced-fat milk consumption at the recommended levels.
Practitioners should critically evaluate the recommendations for reduced-fat milk consumption.
Qualifies 2013 - MolecularStrong
Dietary fatty acids interact with genetic variants to modify circulating omega-3 fatty acids.
Practitioners should consider genetic factors when assessing dietary fatty acid impacts.
Supports 2015 - MolecularStrong
Compartment-specific interactions exist between genetic variants and dietary fatty acids.
Measurement methods should be tailored to improve understanding of gene-diet interactions.
Supports 2015 - Metabolic adaptationStrong
Predisposing risk factors for antipsychotic-induced weight gain (AIWG) include lack of prior AP exposure, sex, and age.
Clinicians should consider these risk factors when prescribing antipsychotics.
Supports 2023 - CellularStrong
Epicardial adipose tissue (EAT) may contribute to the pathophysiology observed in HFpEF.
Understanding the role of EAT may help in developing targeted therapies for HFpEF.
Qualifies 2021 - MolecularStrong
Pharmacological interventions may attenuate the metabolic and inflammatory changes seen in EAT.
These pharmacological options may be considered in managing EAT-related cardiac dysfunction.
Supports 2021 - MolecularStrong
The gut microbiome may contribute to the development of obesity in humans.
Practitioners should consider the gut microbiome as a potential factor in obesity management.
Supports 2023 - Metabolic adaptationStrong
A comprehensive redefinition of obesity in Asian Indians is needed beyond BMI criteria.
Practitioners should consider factors beyond BMI when diagnosing obesity in Asian Indians.
Supports 2025New - CellularStrong
Stage 2 obesity requires excess waist circumference or waist-to-height ratio, along with symptoms or comorbid conditions.
Practitioners should assess waist measurements and related symptoms for obesity classification.
Supports 2025New - Metabolic adaptationStrong
The refined framework aims to enhance precision in identifying obesity and its health risks.
Practitioners can use this framework to better assess obesity-related health risks.
Supports 2025New - MolecularStrong
The decision tree yields an AUC of 0.898 for phenotyping PCOS.
Clinicians can utilize this decision tree for effective phenotyping of PCOS.
Supports 2022 - MolecularStrong
The decision tree aims to improve PCOS management by reducing multiple blood tests and physician workload.
This decision tree could streamline the diagnostic process for PCOS, making it more efficient for healthcare providers.
Supports 2022 - HormonalStrong
Plasma adiponectin concentrations are negatively correlated with waist-to-thigh ratio (WTR) and percentage of body fat (PFAT).
Lower adiponectin levels may be associated with higher body fat and less favorable fat distribution.
Supports 2002 - Energy balanceStrong
ASCO plans to collaborate with other groups to address obesity-related health issues.
Collaboration with other health organizations can enhance the effectiveness of obesity interventions.
Supports 2016 - CellularStrong
Eccentric contraction-induced Z-band disruption is approximately 14-fold greater than typically observed in resting biopsies.
Practitioners should note that eccentric contractions can cause significant muscle damage.
Supports 2002 - CellularStrong
Eccentric contraction-induced inflammatory cell response shows high variability with a between-biopsy CV of 34 +/- 24% and 48 +/- 27%.
Practitioners should consider the variability in inflammatory responses when assessing muscle recovery.
Supports 2002