Browse the evidence

The physical structure of plant-based foods (food matrix) acts as a barrier to nutrient digestion, meaning intact cell walls in nuts and grains reduce lipid and starch bioaccessibility compared to disintegrated foods.

When eating whole nuts or grains, your body may not absorb all the calories listed on the package because the tough cell walls protect some of the fats and starches from digestion. This means whole plant foods might be less calorie-dense than their labels suggest, but you should not rely on this to overconsume them.

High LDL-C and low HDL-C are more prevalent in women, while hypertriglyceridemia is more prevalent in men in the Iranian adult population.

Lipid profiles differ by gender. Women in this population showed higher rates of low HDL and high cholesterol, while men showed higher rates of high triglycerides. Regular lipid screening is important for both genders, with attention to these specific patterns.

Caffeine ingestion (6 mg/kg) does not enhance power output during repeated short-term high-intensity exercise and may negatively affect performance in later bouts.

If you rely on caffeine for short, maximal sprints (like Wingate tests or repeated HIIT intervals), it likely won't help and might actually reduce your peak power in later sets. The traditional belief that caffeine boosts all high-intensity performance is not supported by this data. Save the caffeine for endurance activities where its benefits are clearer.

Higher body mass index (BMI) is strongly associated with greater underreporting of sodium intake, particularly when using Food Frequency Questionnaires (FFQs).

If you have a higher BMI, be aware that your self-reported sodium intake is likely to be significantly underestimated (by 28-39% on average). This bias is stronger when using Food Frequency Questionnaires. Consider using 24-hour recalls or objective biomarkers if precise sodium tracking is critical for your health goals.

High consumption of trans-unsaturated fatty acids is associated with a significantly increased risk of developing laparoscopically confirmed endometriosis.

Minimize intake of trans-unsaturated fats, which are primarily found in commercially fried foods, margarine, and crackers, as high consumption is linked to a significantly higher risk of endometriosis. This supports public health efforts to remove trans fats from the food supply.

Metabolic Flux Analysis (MFA) using stable isotopes is a key technique for elucidating how dietary components affect lipoprotein metabolism and insulin resistance.

Researchers use stable isotope tracing to measure exactly how the body processes dietary fats and sugars. This helps identify specific metabolic bottlenecks that contribute to diseases like diabetes and heart disease.

A 12-week combined resistance and high-intensity interval training program significantly increases skeletal muscle gene expression of kynurenine aminotransferase (KAT) isoforms and transcriptional coactivators (PGC-1α, PPARα, PPARδ) in healthy older men, but does not significantly alter circulating plasma kynurenine metabolites.

For older men, a 12-week program combining resistance and high-intensity interval training effectively upregulates the genetic machinery in muscles associated with mood regulation pathways (kynurenine pathway). However, this molecular shift does not immediately result in measurable changes in blood metabolite levels. Consistency is key, as the benefit lies in the local muscle adaptation rather than immediate systemic metabolic shifts.

Homogenizing fecal samples (via blending or pneumatic mixing) significantly reduces intra-individual variation in detected bacterial diversity compared to sampling small, non-homogenized aliquots, thereby improving the reliability of microbiome assessments.

If you are analyzing gut microbiota from stool samples, do not just take a tiny piece from one spot. Mix the entire sample thoroughly (homogenize) before extracting DNA. This step is crucial to get a consistent and accurate picture of the bacteria present, as bacteria are not evenly distributed throughout the stool.

Fecal processing methods (freezing and homogenization) can significantly alter the relative abundance of specific bacterial taxa, particularly increasing Faecalibacterium, Streptococcus, and Bifidobacterium, while decreasing Oscillospira, Bacteroides, and Parabacteroides.

When comparing gut microbiome studies, be aware that how the stool was processed (frozen/homogenized vs. fresh/unmixed) can change the reported levels of specific bacteria like Faecalibacterium and Bacteroides. This is a technical artifact, not necessarily a biological difference.

A 9-month combined aerobic and resistance exercise program does not reduce skeletal muscle macrophage accumulation in obese individuals with type 2 diabetes.

If you have type 2 diabetes and are obese, doing 9 months of combined aerobic and resistance exercise is excellent for improving blood sugar control, but do not expect it to significantly reduce the number of inflammatory cells (macrophages) in your skeletal muscle. The metabolic benefits are real, even if the structural inflammation markers remain unchanged.

Skeletal muscle macrophage content is not significantly different between young and elderly subjects, despite higher inflammation gene expression in the elderly.

Aging is associated with higher gene expression for inflammation, but this does not translate to more inflammatory cells in your muscles. You do not need to treat 'age-related muscle inflammation' as a distinct structural problem if your macrophage levels are normal.

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.

Targeting a follow-up HbA1c level below 7.0% fails to maximize cardiovascular benefits and may increase the risk of heart failure and non-fatal stroke compared to maintaining levels above 7.0%.

If you have Type 2 Diabetes, aiming for an HbA1c below 7.0% may not provide the best cardiovascular protection and could increase your risk of heart failure. Current evidence suggests that maintaining levels slightly above 7.0% might offer better protection against major cardiovascular events. Discuss your specific cardiovascular risk profile with your doctor to determine the safest target.

The use of thiazolidinediones (TZDs) in intensive glucose control strategies significantly increases the risk of heart failure, whereas gliptins (DPP-4 inhibitors) show neutral effects.

If you are on intensive diabetes treatment, the specific medication matters for your heart health. Thiazolidinediones (TZDs) are associated with a higher risk of heart failure, while gliptins appear to have a neutral effect. Ensure your doctor considers your heart failure history when prescribing these medications.

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.

Carrying the G alleles of ALPK1 polymorphisms rs2074388 or rs2074379 significantly increases the susceptibility to developing type 2 diabetes mellitus in Japanese individuals.

If you are of Japanese descent, knowing you carry specific ALPK1 variants (rs2074388 or rs2074379) means you have a higher genetic risk for type 2 diabetes. This does not mean you will definitely get it, but it suggests you should be vigilant about maintaining a healthy weight, managing blood sugar, and limiting inflammatory foods to counteract this predisposition.

Kinovea video analysis software does not provide interchangeable or accurate measurements of barbell velocity, duration, or range of motion compared to the validated Open Barbell System (OBS) for free-weight resistance training exercises.

Do not use Kinovea to prescribe weights or determine when to stop a set based on velocity. It systematically overestimates speed and range of motion in free-weight lifts because it tracks the total path of the bar (including horizontal movement) rather than just vertical displacement. Use a validated linear position transducer (like the Open Barbell System) or percentage-based training if you cannot afford velocity equipment.

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.

Intensive lifestyle intervention (ILI) targeting weight loss in adults with type 2 diabetes does not improve cognitive function and may leave a legacy of relative cognitive deficits in subgroups with baseline obesity or cardiovascular disease history, an effect not mediated by changes in leptin or VEGF levels.

For individuals with Type 2 Diabetes, especially those with obesity or heart disease history, intensive lifestyle interventions aimed at significant weight loss may not improve cognitive function and might be associated with relative cognitive declines compared to less intensive support. This decline was not explained by changes in leptin or VEGF. Patients should focus on overall metabolic health and cardiovascular risk reduction, but should not expect cognitive enhancement from weight loss alone, and should monitor for any subjective cognitive changes.

Angiotensin-converting enzyme (ACE) inhibitors and Angiotensin II receptor blockers (ARBs) are the preferred antihypertensive treatments for diabetic patients due to renal protection and lack of adverse metabolic effects.

If you have diabetes and high blood pressure, ask your doctor about ACE inhibitors (ending in -pril) or ARBs (ending in -sartan). These are the preferred medications because they protect your kidneys and eyes, not just your heart. Avoid beta-blockers as a first choice if possible, as they can affect blood sugar. Aim for a blood pressure below 140/90 mmHg.

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.

Massive weight loss induces metabolic adaptation (resting metabolic rate suppression beyond body composition changes) that is directly correlated with the magnitude of energy imbalance and the degree of circulating leptin reduction.

When you lose a large amount of weight, your body defends its previous weight by lowering your resting metabolic rate beyond what is explained by simply losing tissue. This 'metabolic adaptation' is driven by the size of your calorie deficit and the drop in leptin (a hormone from fat cells). To manage this, focus on maintaining energy balance rather than chronic severe deficits, as adaptation lessens when you stop losing weight.