Browse the evidence

Genotype-based dietary interventions (low-carb vs. low-fat) do not significantly impact weight loss outcomes, suggesting that genotyping alone is not an effective precision medicine approach for weight loss.

Don't pay for expensive genetic testing to tell you whether to eat low-carb or low-fat. Current high-quality evidence shows that your genotype does not predict whether you will lose more weight on one diet versus the other. Focus on finding a dietary pattern you can adhere to consistently that creates a caloric deficit.

Sarcopenia is driven by anabolic resistance, mitochondrial dysfunction, and chronic inflammation, which decouple muscle mass from muscle function.

Understanding that muscle mass and function are different helps explain why you might look stronger but still feel weak. Treating the underlying inflammation and mitochondrial health is as important as building size.

Adherence to a Mediterranean diet supplemented with extra-virgin olive oil or nuts does not significantly reduce the incidence of heart failure compared to a low-fat control diet in high cardiovascular risk individuals, although point estimates suggest a potential benefit that requires larger trials to confirm.

For individuals at high cardiovascular risk, following a Mediterranean diet supplemented with olive oil or nuts did not statistically significantly reduce the risk of developing heart failure compared to a low-fat diet in this specific trial. However, the trend favored the Mediterranean diet, and the study may have been underpowered. It remains a heart-healthy dietary pattern for other cardiovascular benefits, but should not be relied upon as a guaranteed prevention method for heart failure based on this data alone.

The RECODe risk equations provide more accurate predictions for microvascular and cardiovascular complications in diverse U.S. populations with type 2 diabetes compared to older models like UKPDS OM2 and ACC/AHA PCEs, which tend to substantially overestimate risk.

For clinicians managing diverse type 2 diabetes patients, using the RECODe risk equations instead of older models (like UKPDS or ACC/AHA PCEs) leads to more accurate risk assessment. This accuracy helps avoid unnecessary aggressive treatments for patients at lower actual risk and ensures high-risk patients receive appropriate intensive care, thereby reducing drug-related morbidity and improving overall population health management.

The timing of daily metabolic responses to nutritional challenges differs significantly between serum and skeletal muscle, with serum metabolites showing robust time-of-day oscillations that are reprogrammed by diet type, whereas skeletal muscle metabolome shows less time-of-day variation.

For metabolic health, the timing of your meals matters as much as what you eat. Serum metabolites show strong daily oscillations that are reprogrammed by diet type (high fat vs high carb). While muscle metabolome is less responsive to time-of-day, serum shows significant differences between morning and evening states. This suggests that aligning meal timing with circadian rhythms may be a lever for metabolic optimization, particularly for lipid metabolism in the blood.

In low-income countries (LIC), the excess cardiovascular and all-cause mortality associated with diabetes remains high and is not significantly attenuated by standard pharmacological treatments (antidiabetes, antihypertensive, lipid-lowering drugs, and aspirin), unlike in high-income countries where treatment substantially reduces this risk.

For patients in low-income settings, having a diabetes diagnosis carries a significantly higher mortality risk than in wealthy nations, and simply taking prescribed medications (for blood sugar, blood pressure, or cholesterol) does not fully mitigate this risk. This is due to systemic issues like low medication adherence, suboptimal dosing, lack of access to acute cardiac care (like angioplasty), and socioeconomic disparities. To reduce mortality, access to care must be improved beyond just medication availability, including affordable acute interventions and better disease management.

Adhering to a low-carbohydrate diet (defined as the lowest quartile of carbohydrate intake, <42.7% of energy) is associated with a significantly higher risk of developing incident atrial fibrillation compared to higher carbohydrate intake, regardless of whether the replaced carbohydrates are substituted with animal or plant-based fats and proteins.

If you follow a low-carbohydrate diet, be aware that long-term adherence may be associated with a higher risk of developing atrial fibrillation (an irregular heart rhythm). This risk appears to exist regardless of whether you replace carbohydrates with animal or plant-based foods. If you have risk factors for heart disease or AF, consider discussing your carbohydrate intake with a healthcare provider to balance weight management goals with cardiac rhythm health.

The evolution of human fat storage levels is driven by a trade-off between starvation risk and predation risk, resulting in an optimum fatness that minimizes total mortality, not maximum fat storage.

Your body stores fat to balance survival needs (starvation) against survival costs (predation/mobility). This explains why we don't store maximum possible fat; there is an evolutionary optimum.

An intensive lifestyle intervention (ILI) may exacerbate the severity of self-reported problem-solving complaints in Type 2 Diabetes patients who have pre-existing cognitive complaints and a history of cardiovascular disease.

If you have Type 2 Diabetes, existing cognitive complaints, and a history of heart disease, be aware that aggressive lifestyle interventions might be associated with increased reports of problem-solving difficulties. Discuss this specific risk with your doctor to determine if a modified or less intensive approach is safer for your cognitive health.

Standardized ex vivo high-resolution respirometry (HRR) measurements of mitochondrial function in permeabilized human skeletal muscle significantly underestimate in vivo metabolic rates because they are conducted at 37°C, whereas mitochondria operate at temperatures up to 10°C higher (approx. 50°C) during maximal exercise.

If you are interpreting mitochondrial function from lab tests on muscle biopsies (ex vivo), be aware that standard tests at 37°C likely underestimate true in vivo capacity. The paper suggests that mitochondrial temperature during exercise can reach ~50°C. To compare lab results with real-world metabolic performance, apply a temperature correction factor (approx. 10°C increase) to the ex vivo data.

Long-term follow-up (median 14 years) of an intensive lifestyle intervention (ILI) targeting weight loss and physical activity in adults with type 2 diabetes and obesity does not significantly reduce the prevalence of frailty compared to diabetes support and education (DSE).

For older adults with diabetes, intensive lifestyle interventions (diet and exercise) provide short-to-medium term benefits in physical function, but these benefits may not persist enough to prevent the clinical syndrome of frailty 14 years later. Sustainable, long-term maintenance of lifestyle changes is critical, as the benefits of intensive programs tend to fade after structured support ends.

Patients with higher comorbidity burdens (cardiovascular risk, respiratory, pain, mental health) and higher BMI are significantly more likely to receive high-intensity interventions (surgery/procedures) rather than lifestyle intervention, while anti-obesity medications (AOMs) are underutilized relative to guidelines.

If you have obesity and comorbidities like diabetes or heart disease, you are more likely to get surgery or procedures than medication or lifestyle programs, even if guidelines suggest medication first. This is because providers often wait for severe BMI or complications before escalating care. You should discuss all options, including AOMs, with your provider rather than waiting for surgery eligibility.

In patients with Obstructive Sleep Apnea (OSA) treated with CPAP, a history of prior vascular events, hypertension, older age at treatment initiation, and higher comorbidity burden are significant independent risk factors for subsequent vascular events, whereas obesity (BMI) is not.

If you have OSA and use CPAP, adherence is crucial, but it does not guarantee immunity from heart issues. Your risk of a vascular event is significantly higher if you have high blood pressure, a history of heart problems, or other chronic conditions. Focus on managing your blood pressure and comorbidities alongside your CPAP therapy, and seek early diagnosis and treatment to mitigate age-related risks.

Nutrition intervention trials for complex chronic disease exhibit extensive heterogeneity in outcome reporting, with only 8% of outcomes reported with relative consistency and a 25% agreement rate with established Core Outcome Sets (COS).

For researchers and clinicians: Do not assume that 'nutrition intervention' studies are directly comparable just because they treat similar diseases. Look for whether they use Core Outcome Sets (COS). If they don't, the results may be difficult to apply to other patients or combine with other studies. Advocate for the use of standardized outcome sets in your own work to ensure your findings contribute to reliable evidence.

South Asians have a 2-4 fold higher prevalence of type 2 diabetes compared to white populations but do not exhibit a correspondingly higher risk of cardiovascular complications, suggesting a protective mechanism or different pathophysiology.

If you are of South Asian descent with type 2 diabetes, you are at a much higher risk of developing the disease itself than white individuals, often at a younger age and lower BMI. However, your risk of heart disease and stroke may not be as high as the diabetes prevalence would suggest. This paradox means you should focus on early screening and management of diabetes to prevent it from progressing, as your body may handle the cardiovascular stress of diabetes differently than other groups.

Intentional weight loss does not significantly reduce the risk of cardiovascular events (heart failure, atrial fibrillation, unstable angina/MI) compared to maintaining a high stable BMI, likely due to insufficient follow-up duration or irreversible cardiac remodeling.

Losing weight improves your blood pressure, cholesterol, and blood sugar, which are key risk factors for heart disease. However, this study suggests that the actual reduction in heart attacks, strokes, or heart failure risk may not be immediately visible, possibly because heart damage takes time to reverse. Continue managing your weight and risk factors, as the long-term benefit for cardiovascular health is likely to follow the improvement in risk markers.

Vegan diets do not significantly affect blood pressure, HDL-C, or triglycerides compared to control diets in individuals with overweight or type 2 diabetes.

Do not expect a vegan diet to automatically lower your blood pressure or triglycerides if they are currently normal or if the diet is not carefully managed. The primary benefits observed were weight loss, improved HbA1c, and reduced LDL cholesterol. Monitor your BP and triglycerides separately.

Fatmax training does not increase fat-free mass (muscle mass) in obese individuals.

Do not expect muscle growth from Fatmax training alone. It preserves muscle while losing fat, but you need resistance training to build muscle.

Prebiotics can confer health benefits at extraintestinal sites (e.g., skin, vagina, brain) through indirect mechanisms mediated by gut microbiota changes.

Prebiotics can help conditions outside the gut, like skin health or mood, by changing the gut bacteria which then send signals to other parts of the body.

Aspirin should be used infrequently in the routine primary prevention of atherosclerotic cardiovascular disease (ASCVD) because of lack of net benefit.

Do not start taking daily aspirin for heart disease prevention without discussing it with your doctor. For most people in primary prevention, the risk of bleeding outweighs the benefits. Focus on lifestyle changes like diet and exercise instead.

Gut microbiota composition is not a single optimal state but a personalized ecosystem shaped by early-life factors (birth mode, feeding), age, and ongoing lifestyle variables (diet, exercise, BMI), where health is defined by functional balance rather than specific taxonomic abundance.

Do not chase a single 'ideal' bacterial profile. Focus on maintaining a diverse, balanced microbiome through personalized lifestyle choices: prioritize fiber-rich plant foods, regular exercise, and minimizing unnecessary antibiotic use. Recognize that your gut health is shaped by your unique history (birth, early diet) and current habits.

Cardiovascular disease (CVD) affects approximately 32.2% of adults with Type 2 Diabetes Mellitus (T2DM) globally, with coronary artery disease (21.2%) and atherosclerosis (29.1%) being the most prevalent comorbidities, while stroke is the least prevalent (7.6%).

If you have Type 2 Diabetes, your risk of cardiovascular disease is significantly higher than the general population, affecting roughly 1 in 3 people in this group. The most common heart issues are coronary artery disease and atherosclerosis. To mitigate this, focus on a comprehensive strategy: control blood sugar, quit smoking, manage blood pressure, treat cholesterol, and maintain a healthy weight. This is not just about sugar; it is about overall heart health.

Cardiovascular disease is the primary cause of mortality in Type 2 Diabetes, accounting for approximately 50.3% of all deaths in this population, with coronary artery disease and stroke being the major contributors.

For people with Type 2 Diabetes, heart disease is not just a complication; it is the leading cause of death, responsible for half of all fatalities. Preventing heart disease is the most critical step for extending life expectancy. This involves aggressive management of blood pressure, cholesterol, and blood sugar, alongside lifestyle changes like smoking cessation and exercise.

Greenspace exposure is associated with improved pregnancy outcomes, specifically a reduced risk of preterm birth and small size for gestational age.

For pregnant women, living in or frequently visiting areas with higher greenness is associated with a lower risk of preterm birth and having a baby that is small for gestational age. This suggests that environmental factors play a role in pregnancy health.