Browse the evidence

Personalized nutrition (PN) approaches using individual-specific information can drive measurable health benefits and behavior change more effectively than conventional population-based dietary guidelines.

To get the best dietary results, look for programs that use your specific data (like blood work, genetics, or lifestyle) rather than just following general guidelines. This personalized approach is more likely to lead to lasting health improvements.

A personalized low-glycemic index (Low-GI) diet informed by nutrigenetic testing yields superior long-term weight loss and cardiometabolic improvements compared to a standard ketogenic diet, primarily through enhanced dietary adherence rather than immediate metabolic advantage.

If you are struggling to keep weight off after losing it, consider that 'one-size-fits-all' diets like Keto may not be sustainable for you long-term. A personalized approach that adjusts your carbohydrate and fat intake based on your genetic profile (specifically genes related to metabolism and sensitivity) can help you maintain weight loss and improve cholesterol and blood sugar levels. This works best when the diet is tailored to your biology, making it easier to stick to over the long haul.

Implementing a 30% financial incentive for fruits and vegetables (F&V) within the US Supplemental Nutrition Assistance Program (SNAP) increases F&V intake and prevents cardiovascular disease events, resulting in net healthcare cost savings over a lifetime.

If you are a policy maker or advocate, push for a 30% discount on fruits and vegetables for SNAP recipients. This specific financial incentive has been modeled to significantly reduce heart disease and save money on healthcare costs over the long term.

Restricting the purchase of sugar-sweetened beverages (SSBs) using SNAP funds, when combined with fruit and vegetable incentives, significantly amplifies cardiovascular disease prevention and healthcare cost savings compared to fruit and vegetable incentives alone.

Advocate for policies that not only incentivize healthy food purchases but also restrict the use of SNAP benefits for sugar-sweetened beverages. This combination yields much larger health benefits and cost savings than incentives alone.

Adherence to a personalized postprandial-targeting (PPT) diet is associated with greater improvements in glycemic parameters (time in range, fasting glucose, insulin) compared to lower adherence, even when caloric intake is similar.

Strictly following the personalized meal plan provided by the algorithm yields better blood sugar control than loosely following it, even if you don't lose weight. The key is consistency with the specific foods recommended for your body.

A national 10% subsidy on fruits and vegetables is the most effective single dietary policy for reducing cardiovascular disease mortality, potentially preventing approximately 150,500 deaths by 2030 in the US.

Implementing a national policy that reduces the price of fruits and vegetables by 10% is projected to save the most lives from cardiovascular disease compared to other single dietary interventions.

A combined policy approach, including a 10% SSB tax, a 10% national F&V subsidy, a 30% targeted F&V subsidy for SNAP participants, and a national mass media campaign, yields the greatest overall impact on reducing CVD mortality and disparities.

Implementing a comprehensive strategy that taxes sugary drinks, subsidizes fruits and vegetables for everyone, offers a larger subsidy for low-income participants, and runs a media campaign is projected to save the most lives and reduce health disparities.

A 30% fruit and vegetable subsidy targeted specifically at SNAP participants is the most effective policy for reducing cardiovascular disease socio-economic disparities.

Offering a 30% subsidy on fruits and vegetables to low-income individuals on SNAP is the most effective way to close the gap in cardiovascular disease mortality between low and high-income groups.

Strict, short-term lockdown-induced physical inactivity and dietary changes cause significant metabolic worsening (HbA1c increase >0.3%) in approximately 26% of well-controlled type 2 diabetes patients, with pre-lockdown triglyceride levels serving as a predictive marker for this deterioration.

If you have type 2 diabetes, your medication is not a shield against lifestyle collapse. During periods of forced inactivity or dietary change, your blood sugar can deteriorate rapidly, even if you feel 'well-controlled.' Monitor your levels closely during disruptions, and prioritize maintaining basic physical activity and dietary consistency, as these factors may outweigh your medication's immediate effect.

Providing feedback chronically across a training cycle leads to greater improvements in sprint performance and potentially jump performance compared to training without feedback.

If you are following a multi-week resistance training program, consider using feedback (visual or verbal) consistently. This may help you improve your sprint speed and jump height more than training without feedback.

A 12-week smartphone app intervention targeting step goals significantly increases physical activity levels in patients with type 2 diabetes compared to standard care.

If you have type 2 diabetes, using a smartphone app to track and set daily step goals can help you increase your physical activity. The app allows you to set a goal (up to 10,000 steps) and adjusts it every two weeks based on your progress. This digital support is designed to complement your standard medical care, not replace it.

Resistance exercise 'snacking' (brief bouts of exercise performed daily or multiple times daily) improves muscle strength and reduces muscular discomfort/sleepiness in untrained individuals.

Break your exercise into short 2-10 minute bouts throughout the day. This 'snacking' approach can reduce muscle soreness and fatigue while still building strength, making it easier to stay active.

During pandemic lockdown, individuals previously engaged in resistance training maintained participation rates (82.8%) but adapted their training location to home, shifted to bodyweight exercises, and reduced perceived effort, resulting in lower perceived effectiveness and enjoyment.

If you are used to training in a gym, do not stop training when you cannot access it. Shift to bodyweight exercises or home equipment, and accept that your perceived effort and enjoyment might drop temporarily. Focus on maintaining the habit of training 2-3 times per week rather than perfecting the routine or intensity. Your body will adapt, and you can gradually reintroduce complexity as access allows.

Initiating anti-obesity medications (AOMs) at the weight loss plateau (WLP) is more effective for achieving additional weight loss than waiting until significant weight regain occurs.

Do not wait for significant weight regain to seek help. If your weight stops dropping after surgery (plateau), discuss starting an anti-obesity medication immediately to maximize your results.

Adopting 'Planeterranea' nutritional pyramids based on local foods provides the same health benefits as the Mediterranean Diet while addressing cultural, economic, and accessibility barriers.

You do not need to move to the Mediterranean to eat like one. Identify local foods that match the nutritional profile of the Mediterranean Diet (healthy fats, high fiber, low sugar) and build your meals around them. Use local oils, nuts, grains, and vegetables to create a 'Planeterranea' diet that is sustainable and culturally appropriate.

Pandemic-related lifestyle disruption is bidirectional and associated with greater weight loss in individuals who had less healthy pre-pandemic behaviors, while those with healthy pre-pandemic behaviors showed minimal change.

If you had unhealthy habits before the pandemic, the disruption of routine might have actually helped you improve your diet and lose weight. This suggests that for some, breaking old routines can be an opportunity to adopt healthier ones, rather than a cause of decline.

Higher lifestyle disruption during the pandemic is associated with greater bidirectional weight variability, including both significant weight loss and weight gain, particularly in younger, female, and socio-economically deprived individuals.

Pandemic disruption affected everyone's weight variability, but the outcome depended on your starting point. If you had unhealthy habits, you likely improved. If you were already healthy, you likely stayed the same. Targeted support is needed for vulnerable groups who may experience negative outcomes.

Culturally tailoring evidence-based diabetes prevention programs (DPP) for Latino populations by integrating family support, culturally specific nutrition, and technology-mediated self-monitoring increases intervention acceptability and cultural congruence compared to standard non-adapted interventions.

For Latino patients in primary care, standard diabetes prevention programs should be adapted to include family members at key sessions (start, middle, end), provide culturally specific healthy meals (e.g., sopes, ceviche) rather than generic options, and use Spanish-language smartphone apps (MyFitnessPal) and FitBits for self-monitoring. This approach respects 'familismo' and avoids the negative stigma of 'dieting', thereby improving engagement and cultural fit.

Technology-assisted health coaching delivered by student volunteers in primary care is feasible and acceptable, with the number of completed coaching calls significantly correlated with greater weight loss at 6 months.

If you are in primary care and struggling with weight, ask about health coaching programs. This study shows that consistent telephone coaching with a dedicated coach (rather than just seeing your doctor) can lead to greater weight loss, especially if you complete more sessions. Look for programs that use self-monitoring tools like pedometers and food diaries.

Medical doctors' self-reported comfort levels and positive attitudes toward nutrition care are significantly correlated with their actual provision of nutrition counseling and referral rates.

For healthcare providers: Your confidence in discussing nutrition directly impacts whether you actually provide it. If you feel uncomfortable or unsure, you are less likely to counsel patients or refer them to specialists, even if you believe it is important. Building self-efficacy through training or simple referral protocols can bridge the gap between knowing nutrition is important and actually doing it.

COVID-19 lockdowns and associated lifestyle changes (reduced physical activity, increased screen time, comfort eating) led to significant weight gain and increased obesity prevalence in Saudi Arabia.

Be aware that external factors like lockdowns can significantly impact your weight by reducing activity and increasing stress-eating. Proactively manage your environment and stress levels to prevent weight gain.

Psychological traits, specifically emotional stability, influence the reliability and magnitude of work completed at velocity loss thresholds, with higher emotional stability associated with performing more repetitions across thresholds.

Your mental toughness and emotional stability affect how many reps you can grind out at slow speeds. If you are less emotionally stable, you might hit velocity thresholds with fewer reps than a more stable peer. Consider this when interpreting velocity data.

Patients with poorer baseline dietary quality (low HEI-C scores) are more likely to make substantive dietary improvements through counseling than those with already good baseline diets.

If you already eat a healthy diet, don't assume counseling is useless. The study shows that people with poorer diets improve the most, but those with good diets can still refine specific areas like sodium or saturated fat. The goal is continuous improvement, not just fixing 'bad' habits.

A machine learning model using Heterogeneous Mixture Learning Technology (HMLT) can predict 3-year body weight changes with accuracy comparable to multiple regression, while uniquely identifying subgroups where lifestyle factors have a profound impact on weight loss.

Use predictive modeling to identify which lifestyle factors (like breakfast skipping or walking speed) are most likely to impact your weight based on your age and BMI. Standard advice may not work for you; personalized simulation of lifestyle changes can improve motivation and effectiveness.