Browse the evidence

Women have a significantly higher prevalence of food addiction (6.7%) compared to men (3.0%) in the general population.

Women may be at higher risk for developing food addiction behaviors compared to men. Prevention and treatment strategies should be tailored to address this higher prevalence, potentially focusing on early identification of compulsive eating patterns in women.

Front-of-pack multiple traffic light labels significantly improve consumers' objective ability to identify healthier food options compared to no labels or other formats, but this improved perception does not translate into healthier actual food choices or consumption patterns.

Using traffic light labels on food packaging helps shoppers correctly identify which products are healthier than others, but simply putting these labels on products will not change what people actually buy or eat. To improve diet quality, labeling must be combined with other strategies that address time pressure, habit, and environmental cues, as knowledge alone does not drive behavior change.

Eating frequency (number of meals/snacks per day) is not associated with the risk of incident coronary heart disease.

How many times you eat per day does not appear to affect your risk of heart disease. Focus on whether you skip breakfast or eat late at night, as these specific timing issues matter more than total meal frequency.

Aerobic exercise does not significantly improve memory or executive function scores in early Alzheimer's disease compared to stretching and toning.

Do not expect aerobic exercise to directly reverse memory loss or improve executive function scores in early Alzheimer's. The primary benefit observed in this study was the maintenance of functional ability (ability to perform daily tasks). Exercise should be prescribed for functional preservation rather than cognitive enhancement.

Obesity increases the risk of oesophageal adenocarcinoma, primarily through gastroesophageal reflux and oesophagitis, whereas it may have an inverse or neutral association with oesophageal squamous cell carcinoma.

If you are obese, you are at higher risk for oesophageal adenocarcinoma, largely due to increased reflux. Managing your weight can reduce reflux and this risk. Be aware of chronic heartburn and seek medical advice if it persists.

Cognitive engagement and mental stimulation build 'brain and cognitive reserve,' which delays the clinical manifestation of dementia and cognitive decline by increasing neural efficiency and structural resilience.

Actively engage in mentally stimulating activities such as learning a new language, playing musical instruments, solving puzzles, or participating in discussion groups. These activities build cognitive reserve, which helps delay the onset of dementia symptoms.

Fiscal measures such as taxes on unhealthy foods (e.g., fat/sugar taxes) and subsidies for healthy foods show potential to improve dietary intake in simulations, but real-world implementation is limited and often ineffective due to low tax rates and inelastic demand.

Small taxes on sugary drinks or snacks rarely change behavior because people keep buying them. However, larger, well-designed fiscal policies (like subsidies for fruits/vegetables or higher taxes on specific nutrients) can be effective, especially for lower-income groups who are more price-sensitive. Revenue from these taxes can fund further health initiatives.

If current population-level trends in cardiovascular health behaviors and factors continue, the American Heart Association's 2020 Strategic Impact Goal of a 20% relative improvement in overall cardiovascular health will not be achieved.

Do not assume that current health trends are on track to meet national goals. While smoking and cholesterol have improved, obesity and diabetes are rising fast enough to cancel out these gains. To actually improve cardiovascular health, you must actively manage body weight and blood sugar, as passive trends are not enough.

Perceived food insecurity acts as a proximate driver of obesity by triggering evolved mechanisms to store fat as insurance against future scarcity.

If you live in an environment where food access feels uncertain or sporadic, your body may biologically prioritize storing fat as a survival mechanism. This is not a moral failing but an evolved response to perceived scarcity. Addressing the root cause—stabilizing food access and reducing the psychological stress of insecurity—is more effective than focusing solely on caloric restriction.

Long-term advice to reduce dietary sodium in adults produces only small reductions in blood pressure (approx. 1.1 mmHg systolic) and urinary sodium excretion, and intensive behavioral interventions required to achieve these changes are unsuited for primary care or population prevention.

Advice to reduce salt alone yields very small blood pressure benefits (approx 1 mmHg) and is difficult to maintain. For meaningful results, intensive behavioral support is needed, which is rarely feasible in primary care. However, for patients already on blood pressure medication, salt restriction may help them reduce or stop medication without losing control.

In men with pre-existing ischaemic heart disease, increasing physical activity does not consistently reduce heart attack risk and may increase it, although it reduces case fatality.

If you have known heart disease, do not simply increase your activity level assuming it will prevent heart attacks. This study suggests higher activity might actually increase risk in this group, though it helps you survive an event better. Consult a doctor for a tailored, likely lower-intensity regimen.

A standard lifestyle intervention (diet and exercise) does not significantly reduce mean serum TMAO levels, even though it improves other cardiovascular risk factors like cIMT, insulin sensitivity, and liver fat.

Even if your TMAO levels don't drop after 9 months of healthy eating and exercise, keep going. You are still improving your insulin sensitivity, liver fat, and artery health. TMAO might be resistant to standard lifestyle changes, but the overall benefit is real.

Obesity-related mortality and DALYs are highest in low-to-middle Socio-Demographic Index (SDI) countries, whereas malnutrition burden is concentrated in low SDI countries, creating a distinct geographic and socioeconomic split in the double burden of disease.

Public health in developing nations must anticipate the 'nutrition transition.' As economies grow, access to food increases, but often shifts toward unhealthy, obesity-driving diets. Policies must simultaneously address undernutrition and prevent the rise of obesity, as the burden of obesity-related death peaks in middle-income countries, not the wealthiest ones.

Individualized behavioral interventions (such as social marketing or diet plans) are ineffective at reversing population-level obesity trends because they ignore the structural, commercial, and environmental drivers of energy imbalance.

Do not rely solely on willpower or diet plans to solve the obesity epidemic. Recognize that individual effort is insufficient against a commercial environment designed to promote overconsumption. Advocate for structural changes like food labeling, marketing restrictions, and urban planning that supports physical activity.

AAS dependence is associated with higher rates of conduct disorder, antisocial traits, and other substance dependencies, particularly opioid dependence.

AAS dependence often co-occurs with other mental health and substance use issues, such as opioid dependence and conduct disorder. Addressing these comorbidities is crucial for effective treatment of AAS dependence.

Physical inactivity in Arab countries is associated with specific socio-demographic factors, including older age, marriage, urban residence, and lower education levels.

Be aware that your age, marital status, place of residence, education, and employment can influence your physical activity levels. Older, married, urban-dwelling individuals with lower education may face higher barriers to activity. Leverage employment and education to maintain active habits.

Remote patient monitoring (RPM) using wearable biosensors alone does not significantly improve clinical outcomes such as BMI, weight, blood pressure, or body fat percentage compared to usual care.

Do not rely on wearable devices alone to manage chronic conditions like obesity or hypertension. The evidence shows that simply wearing a tracker does not significantly change clinical outcomes like weight or blood pressure. To see benefits, RPM must be combined with active interventions like personalized coaching, behavioral therapy, or clinician feedback loops.

Socioeconomic status (SES) is a strong determinant of childhood obesity, with low SES in developed countries associated with a 41% higher risk of obesity in children aged 0-15.

In developed countries, lower socioeconomic status is a major risk factor for childhood obesity, increasing the risk by 41%. This is largely due to structural factors like limited access to healthy food and safe places for physical activity, rather than just individual choices. Interventions should focus on improving access and environment.

Weight gain in first-year university students is not significantly different between males and females, with both gaining approximately 1.3-1.4 kg on average.

Whether you are male or female, you are equally likely to gain about 1.3-1.4 kg in your first year. Do not assume weight gain is a 'women's issue' or that men are immune. The environmental factors driving this gain affect both genders similarly.

Adding mobile diet monitoring apps and Twitter-based social support to a theory-based podcast weight-loss intervention does not enhance weight loss compared to the podcast alone.

If you are trying to lose weight, adding a calorie-counting app and a social media group to your routine may not give you any extra benefit if you are already following a structured plan. The study suggests that a simple, consistent plan (like listening to weekly podcasts) can be just as effective as a complex digital regimen, provided you stick to it. Do not assume that more technology equals better results.

A 6-week hip strengthening and movement education program targeting hip abductors and external rotators fails to alter abnormal running mechanics (hip adduction, internal rotation, pelvic drop) in female runners with excessive hip adduction, despite significantly increasing hip strength.

If you are a runner with knee pain or abnormal mechanics, simply strengthening your hips (glutes) is likely not enough to fix your running form. You need to combine strengthening with specific movement retraining (like practicing the squat or running mechanics with feedback). Strength without the correct motor pattern does not change how you run.

Epidemiological associations showing that nibblers are leaner than gorgers are likely artifacts caused by dietary under-reporting and reverse causality (omitting meals to lose weight).

Don't blame yourself for eating fewer meals. The idea that 'nibblers are leaner' is a statistical illusion caused by people hiding their snacking or skipping meals to lose weight. Focus on total calories, not the schedule.

Attentional bias (AB) for food and drug stimuli is not a consistent, robust trait characteristic of obesity or addiction, nor does it reliably predict distal consummatory behavior or relapse.

Do not rely on attentional bias tests to predict who will relapse or gain weight in the long term. AB is a state, not a trait. It fluctuates with current hunger, craving, and motivational conflict (e.g., wanting to eat vs. wanting to lose weight). Interventions should focus on managing these momentary states and conflicts rather than assuming a person has a fixed 'biased' brain.

Long-term population trends in Finland (1972-2005) show a statistically significant but small decrease in self-reported sleep duration (approx. 5.5 minutes per decade), primarily driven by a shift from 8-hour to 7-hour sleepers rather than an increase in extreme short sleepers.

Your sleep duration is likely stable around 7-8 hours regardless of how busy you are. The idea that you are 'losing' sleep rapidly is largely a myth; the shift is small and mostly involves people moving from 8 to 7 hours. Focus on maintaining 7-8 hours rather than trying to optimize for less.