Browse the evidence

Every dollar spent on preventing obesity generates an economic return of up to six dollars.

Investing in obesity prevention can yield significant economic returns, encouraging policymakers to act.

The Shape intervention cost an average of US $758 per participant.

Practitioners can expect the intervention to have a specific cost per participant.

Das Programm ist aufgrund tiefer Gruppentarife der Krankenversicherer in der Schweiz für Anbieter nicht kostendeckend.

Anbieter sollten die wirtschaftlichen Aspekte des Programms berücksichtigen.

Das Programm ist aufgrund tiefer Gruppentarife der Krankenversicherer in der Schweiz für Anbieter nicht kostendeckend.

Anbieter sollten die wirtschaftlichen Aspekte des Programms berücksichtigen.

Participants expressed a strong social identity and belongingness to online zero-carb communities.

Encouraging community support may enhance adherence to zero-carb diets.

Supercentenarians can withstand serious/fatal illnesses more than their peers and have a decreased aging rate.

Understanding the resilience of supercentenarians can inform health strategies for aging populations.

Supercentenarians develop symptoms of degenerative diseases 20–30 years later than the general population.

This insight can help in understanding the aging process and developing interventions.

The dietary decision support system captures nutrient data in both English and Hindi.

Practitioners can utilize this system in diverse linguistic contexts to enhance user engagement.

Total protein and animal protein were not associated with all-cause, CVD, or cancer mortality.

Practitioners should note that total and animal protein intake does not impact mortality risk.

58% of the adult population across OECD countries are overweight or obese.

Health professionals should be aware of the high prevalence of obesity in OECD countries.

Every dollar spent on preventing obesity generates an economic return of up to six dollars.

Investing in obesity prevention can be financially beneficial for policymakers.

The absolute number of deaths from CVD continues to increase, particularly in middle- and low-income countries.

Health interventions should prioritize middle- and low-income countries to address rising CVD deaths.

Reliable data to estimate CVD burden are lacking in many regions, hindering prevention and management strategies.

Efforts should be made to improve data collection for better CVD management strategies.

Machine learning can be incorporated into Precision Nutrition research with high performance.

Practitioners should consider using machine learning techniques to enhance precision nutrition strategies.

Four machine learning tasks are identified: regression, classification, recommendation, and clustering.

These tasks can guide researchers in selecting appropriate machine learning methods for their studies.

Classification systems for processed foods are ambiguous and inconsistent.

Practitioners should be cautious when using classification systems for processed foods due to their inconsistencies.

There is no consensus on what factors determine the level of food processing.

Practitioners should recognize the variability in defining food processing levels.

ASFs can play an important role in circular and diverse agroecosystems that can help restore biodiversity and mitigate greenhouse gas emissions.

Sustainable farming practices for ASFs should be promoted to enhance environmental benefits.

Dietary fatty acids modify fluidity and key physiological functions in plasma membranes.

Understanding the role of fatty acids can help in dietary planning for cardiovascular health.

There are current pitfalls in fatty acid research regarding rigor and reproducibility.

Awareness of research limitations can guide more effective future studies in nutrition.

Integration of HEPAS with pharmacological and psychological therapies is essential for managing neuropsychiatric disorders.

Clinicians should ensure that lifestyle interventions are part of a comprehensive treatment plan.

Human evidence for causality between the gut microbiome and body weight remains scarce.

Recognize the need for more research on the gut microbiome's role in obesity.

The decision tree yields an area under the receiver operating characteristic curve (AUC) of 0.967 for PCOS diagnosis.

Clinicians can use this decision tree to improve the accuracy of PCOS diagnosis.

Naltrexone, bupropion, or their combination (B-N) is not associated with the incidence of major cardiovascular adverse events (MACE) compared with placebo.

Clinicians can consider that these treatments do not increase the risk of major cardiovascular events.