Browse the evidence

Validation practices in Markov models for obesity interventions are inconsistently reported, with only 43% of models reporting validation, limiting the reliability and comparability of these evaluations.

Be cautious when using economic evaluations of obesity treatments that do not report validation. Only 43% of the models reviewed reported validation, which limits their reliability. Look for studies that use standardized validation guidelines like ISPOR.

Higher baseline BMI (30–40 kg/m²) correlates with lower health-related quality of life (utility indices), but the effect size is small (up to 0.005 per unit BMI) and often not statistically significant, suggesting BMI alone does not explain HRQoL differences.

While higher BMI is associated with slightly lower health utility scores, the impact is small and often not statistically significant. Do not assume your quality of life is defined by your BMI alone. Focus on managing specific comorbidities, age-related changes, and mental health, as these appear to be stronger drivers of your daily well-being than BMI itself.

Leucine-rich high protein supplementation (50.6 g protein and 6 g leucine daily) does not significantly improve body composition or muscle function in older adults with sarcopenia over a 12-week period, despite upregulating specific gene expression related to ATP production and DNA repair.

For older adults with sarcopenia, taking leucine-rich protein supplements alone for 12 weeks will not significantly increase muscle mass or improve physical function. While it may positively influence gene expression related to energy production, it is not a standalone solution for reversing sarcopenia. To see functional benefits, supplementation should likely be combined with resistance exercise.

Higher neighborhood-level socioeconomic disadvantage is associated with weaker statistical interactions (correlations) among the stages of adiposity, dysglycemia, and hypertension, suggesting that in disadvantaged populations, these cardiometabolic drivers develop more independently of one another.

If you live in a high-disadvantage neighborhood, standard assumptions about how weight affects blood sugar and blood pressure may not apply to you. The link between carrying extra weight and developing high blood sugar or high blood pressure is weaker in these settings. This suggests that factors like chronic stress, limited access to healthy food, and environmental stressors play a larger, independent role in your cardiometabolic health. Screening and prevention strategies should account for these social determinants rather than focusing solely on weight management.

Prolonged oral processing (chewing) increases in vitro protein and lipid digestion efficiency by mechanically breaking down the food matrix, but this does not necessarily translate to altered in vivo glycaemic responses in healthy individuals.

For healthy individuals, chewing your food more thoroughly will help your stomach enzymes break down proteins and fats more efficiently in the lab setting, but it won't significantly change your blood sugar levels or metabolic health. If you have pre-diabetes, thorough chewing may help regulate blood sugar, but for the general healthy population, the food's physical structure (e.g., whole nuts vs. ground) matters more for nutrient absorption than chewing time alone.

Estimating individual dietary intake from household-level consumption data using standard allocation methods (Adult Male Equivalent or Per Capita) systematically overestimates actual individual consumption for nearly all food groups and nutrients.

If you are using household budget data to guess what one person eats, assume the numbers are too high. The error is not random; it consistently overestimates intake, especially for fruits, vegetables, and vitamins. Do not use these estimates for individual clinical advice; they are only useful for broad population-level trends if corrected for this known bias.

Substituting plant-based meats for animal meats for 8 weeks does not significantly improve biomarkers of inflammation in generally healthy adults.

Swapping animal meat for plant-based meat alternatives for 8 weeks is unlikely to reduce your inflammation markers if your overall diet remains unchanged. These products are often ultra-processed, which may negate potential benefits. Focus on whole, unprocessed plant foods rather than just substituting meat analogues.

Contrast-enhanced ultrasound (CEUS) using gamma variate modeling of bolus microbubble injection provides a valid, noninvasive, and reproducible method for quantifying skeletal muscle microvascular perfusion in vivo.

If you are researching vascular health in older adults or those with metabolic disease, use Contrast-Enhanced Ultrasound (CEUS) with gamma variate modeling. This method allows you to see exactly how well blood flows into skeletal muscle at rest and during exercise, offering a much clearer picture of health than standard artery stiffness tests alone.

Type 2 diabetes is associated with an increased risk of developing various cancers, including breast, liver, pancreas, rectum, and urinary tract cancers.

If you have type 2 diabetes, be aware of the increased risk for certain cancers. Regular screenings for breast, liver, pancreas, rectal, and urinary tract cancers may be advisable in consultation with your doctor.

Moderate to severe weight change (loss or gain) of ≥5% within a 2-year interval is associated with a significantly increased risk of suicide mortality, exhibiting a reverse J-shaped curve.

If you experience rapid, unintentional weight loss or gain (≥5% in 2 years), it is a significant physiological stress signal. While weight loss is often pursued for health, rapid changes—especially if unexplained by diet/exercise—warrant medical and psychological evaluation to rule out underlying conditions or mental health risks, rather than simply viewing the change as a success or failure.

The Obesity Lifecycle Model demonstrates favorable concordance with observed clinical and quality-of-life outcomes, validating its use for evaluating obesity-related complications and informing healthcare decision making.

Healthcare decision-makers can use the Obesity Lifecycle Model to assess the cost-effectiveness of obesity therapies with confidence, as it has been validated to accurately predict clinical complications and quality-of-life impacts.

Postoperative exercise training does not significantly affect lean body mass in adults undergoing bariatric surgery.

While exercise training may not significantly increase lean body mass after bariatric surgery, it can still improve muscle strength and function. Focus on building strength and endurance rather than just muscle mass.

Both bariatric surgery (RYGB/SG) and structured medical treatment (VLED) result in similar safety profiles regarding hospitalization, need for further surgery, and mortality at 2-year follow-up, despite differences in weight loss magnitude.

Safety outcomes, including hospitalization and mortality, are comparable between bariatric surgery and structured medical treatment at 2 years. This suggests that for many patients, the higher efficacy of surgery does not come with a proportionally higher immediate safety risk compared to medical management.

Increasing red meat consumption by at least half a serving per day over an eight-year period is associated with a 10% higher risk of all-cause mortality in the subsequent eight years, with processed meat showing a stronger association (13% higher risk) than unprocessed meat (9% higher risk).

If you are currently eating red meat, try to avoid increasing your intake by more than half a serving per day over time. If you do increase it, be aware that your risk of death increases, especially if it is processed meat. Simply reducing red meat without replacing it with healthier options may not lower your mortality risk; instead, focus on replacing red meat with healthier protein sources like nuts, fish, or legumes, or whole grains and vegetables.

Long-term metformin treatment (up to 2,000 mg/day) significantly alters gut microbiota composition by increasing Escherichia coli and Ruminococcus torques while decreasing Intestinibacter bartlettii and Roseburia species, effects that persist for at least 12 months.

If you take metformin, expect your gut bacteria to change in a specific way: more E. coli and Ruminococcus torques, less Intestinibacter bartlettii and Roseburia. These changes don't just happen briefly; they stick around for at least a year. Importantly, these changes happen regardless of how much weight you lose, meaning the drug itself is driving this shift. While this might sound concerning because E. coli can be harmful, in this context, it is linked to increased production of short-chain fatty acids like acetate, which may help improve insulin sensitivity. If you experience stomach upset, talk to your doctor about slow dose titration.

Dietary diversity measures (count, evenness, dissimilarity) are not standardized and do not consistently correlate with diet quality scores like HEI or DASH.

Do not rely on 'dietary diversity scores' to judge your diet's health. These scores are not standardized and often do not reflect actual diet quality. Focus on specific food groups (vegetables, fruits, whole grains) rather than the number of different foods you eat.

Ultraprocessed food (UPF) consumption does not have a unique mechanistic link to increased body mass index or obesity risk, as epidemiological associations are weak and mechanistic evidence is lacking or contradictory.

Do not avoid all processed foods based on the NOVA classification. Focus on nutrient density, portion control, and overall dietary patterns. Many processed foods are safe, nutritious, and affordable. Avoiding them entirely may lead to nutrient deficiencies and higher costs without proven health benefits.

Sustained weight loss (defined as >1 kg/year over 2 years) is an independent risk factor for higher all-cause and cardiovascular mortality in patients with diabetes/prediabetes and CV risk, compared to maintaining stable weight.

If you have diabetes and heart disease risks, do not try to lose weight. If you have lost weight, do not try to lose more. Your goal should be to stabilize your weight. Aggressive weight loss strategies may increase your risk of death.

Household-level food expenditure and availability data (e.g., FAO Food Balance Sheets) are not reflective of individual dietary intakes and fail to capture intra-nation heterogeneity.

Do not rely on national food availability statistics to assess individual or subgroup dietary risks. These aggregate measures fail to capture individual consumption patterns and demographic disparities, leading to inaccurate health assessments.

Obesity is a neurobehavioral disorder resulting from the interaction of a 'vulnerable brain' (biological dysregulation of homeostatic and hedonic pathways) and an obesogenic food environment, rather than solely a failure of willpower.

If you struggle with obesity, understand that it is not just a lack of willpower. Your brain's biological signaling for hunger and satiety, combined with the modern food environment, creates a 'vulnerable brain' state. Effective management requires addressing both the biological signals (e.g., through medical or behavioral interventions) and the environment (e.g., reducing access to hyper-palatable foods).

One-repetition maximum (1RM) tests and isokinetic peak torque (PT) tests produce conflicting results for assessing alterations in muscle strength, meaning they are not equivalent measures of individual responsiveness to resistance training.

Do not use different testing methods to evaluate the same training program. If you train with free weights or machines (isoinertial), test using 1RM on similar movements. If you use an isokinetic dynamometer, stick to that for tracking. Using 1RM to judge an isokinetic program (or vice versa) will likely lead you to believe the program failed or succeeded when it actually produced standard adaptations, just measured differently.

Systematically manipulating resistance training variables (load, volume, contraction type, rest intervals) does not produce greater muscle hypertrophy than a standard progressive resistance training protocol in trained young men, despite generating higher total training volume and slightly greater acute myofibrillar protein synthesis.

If you are a trained individual, you do not need to constantly vary your resistance training variables (like load, volume, or rest periods) to maximize muscle growth. A standard progressive resistance training program, performed with high effort (to failure), is just as effective for hypertrophy as a complex, variable program. Focus on consistency and progressive overload rather than frequent changes in exercise selection or parameters.

Mitochondrial dynamics, specifically regulated by Drp1-mediated fission, are essential for maintaining muscle stem cell (satellite cell) regenerative competence and metabolic health throughout adult life.

As you age, your muscle stem cells rely on healthy mitochondrial function to repair tissue. While you cannot directly 'dose' Drp1, you can support mitochondrial health through regular physical activity and adequate nutrition, which are known to promote mitochondrial biogenesis and dynamics. This biological maintenance is key to preserving muscle mass and regenerative ability in adulthood.

Transforming urban provisioning systems through integrated spatial planning and supply-side innovations (e.g., active mobility, green infrastructure, clean energy) reduces cardiometabolic risk factors and improves cardiovascular health outcomes.

Advocate for and utilize urban designs that prioritize walking, cycling, and access to green spaces. If you live in a city, look for 'walkable' neighborhoods with mixed land use. If infrastructure is lacking, support policy changes for better transit and pedestrian safety, as these systemic changes directly lower your risk of cardiovascular disease and help maintain a healthy weight.