Browse the evidence

There is an average decline in leisure-time physical activity from age 13 to 23, with the decline being significantly greater in males than in females.

Expect a drop in activity as you move from adolescence to adulthood, but do not accept it as inevitable. The average decline is steeper for men, so men need to be more proactive about maintaining habits. The key is to recognize this trend early and intervene, especially if you are an inactive male.

A dissonance-based eating disorder prevention program significantly reduces thin-ideal internalization, body dissatisfaction, dieting, negative affect, and bulimic symptoms in high-risk young women compared to a measurement-only control, though a healthy weight management placebo control also yields similar reductions in secondary outcomes.

For young women concerned about body image, simply learning about healthy eating may not be enough to change behaviors. A program that actively challenges the 'thin ideal' through writing and role-play (dissonance-based intervention) can significantly reduce body dissatisfaction and bulimic symptoms. However, note that a healthy weight management program also showed benefits for dieting and mood, suggesting that active engagement in health behaviors is also valuable.

Skipping 30-minute relief breaks during work shifts significantly increases insomnia, acute and chronic fatigue, and post-traumatic stress symptoms among hospital nursing staff.

If you are a healthcare worker, prioritize taking your full 30-minute break during your shift. The data shows that skipping these breaks directly correlates with worse sleep, higher fatigue, and increased stress. Treat this break as a non-negotiable part of your job safety protocol, not an optional extra.

Immigrants experience a deterioration in nutritional health and increased risk of chronic conditions (obesity, diabetes, hypertension) as duration of stay in the host country increases, a phenomenon termed the loss of the Healthy Immigrant Effect.

For immigrants, health risks increase the longer you stay in a new country due to dietary shifts. To counter this, actively maintain traditional healthy foods while learning to navigate the new food environment. Focus on accessing traditional ingredients and understanding how to adapt them to local nutritional standards to prevent the 'acculturation penalty' on health.

Socioeconomic status (SES), food insecurity, and lack of social support are significant drivers of unhealthy dietary transitions and health deterioration in immigrants, often overriding cultural preferences.

If you are struggling financially, prioritize affordable, nutrient-dense foods that fit your culture. Use community resources, ethnic markets, and food banks to access traditional ingredients. Don't feel guilty about choosing cheaper options; focus on making the best choices within your budget.

There is no minimal threshold for cognitive benefit from exercise; any amount of physical activity is better than none, though clinically meaningful changes require ~724 METs-min/week.

You do not need to exercise for hours to see brain benefits. Even small amounts of activity help. However, to see significant, clinically meaningful improvements, aim for approximately 724 METs-min per week (e.g., 150 minutes of moderate activity).

Obese individuals exhibit heightened incentive motivation (desire/willingness to work for food) and physiological responsiveness to food cues compared to lean individuals, despite not necessarily reporting higher hedonic liking (pleasure).

Focus less on whether you 'like' the food more than others, and more on how your environment triggers your desire to eat. Obese individuals often show higher 'incentive salience' (willingness to work for food) when exposed to cues. Managing the visibility and availability of food cues may be more effective than relying on willpower or taste preferences alone.

A comprehensive population-wide lifestyle intervention program, including mass media campaigns, fiscal measures, and health education, can successfully reduce cardiovascular risk factors such as hypertension, smoking, and alcohol consumption in a developing country.

Community-wide efforts, such as public education campaigns and policy changes (e.g., taxes on tobacco/alcohol), can effectively reduce smoking, alcohol misuse, and hypertension rates. Individuals can benefit from these broader societal shifts.

Targeted communication strategies that align with specific consumer segments' involvement, health motives, or trust levels significantly increase the likelihood of information processing and positive food choice behavior compared to generic mass-media campaigns.

Do not rely on generic health campaigns or mass media advertising to change eating habits. Instead, segment your audience based on their specific motivations (e.g., health-conscious vs. taste-focused) and trust levels. Tailor your communication to address their specific information needs and use trusted sources relevant to that segment. For low-involvement consumers, use simple heuristics (like brand reputation) rather than complex nutritional data.

Interventions targeting physical activity in aging adults (mean age ≥60) produce a small but statistically significant positive effect on activity levels (dw = .26).

For older adults, simply being told the health benefits of exercise (health education) is not enough to drive significant behavior change. To effectively increase physical activity, interventions should focus on active strategies: recommend moderate-intensity activity, use center-based exercise settings, deliver the program in groups, and require participants to self-monitor their activity. These active components yield significantly larger improvements than passive education alone.

Obese individuals systematically and significantly underreport their energy intake compared to lean individuals, with underestimation ranging from 30% to 47%.

If you are overweight, your food diary is likely underestimating your actual calorie intake by 30-47%. Do not trust your self-reported numbers at face value. Use a validated method like the multiple-pass 24-hour recall with a clinician, and expect that you are likely eating more than you think, especially regarding snacks and high-fat foods.

Obese individuals selectively underreport high-calorie, 'bad' foods (cakes, snacks, sodas) while reporting low-calorie, 'good' foods (vegetables, fruits) with similar accuracy to lean individuals.

When tracking your diet, you are likely omitting snacks, sodas, and high-fat foods because you view them negatively. To get an accurate picture, you must record these items honestly, even if you feel they are 'bad'.

Using larger dinnerware (plates/bowls) increases food serving size, total consumption, and food waste due to visual consumption norms anchored by plate-fill levels, regardless of prior education about the bias.

If you are serving yourself at a buffet or using large plates at home, expect to serve, eat, and waste significantly more food than if you used smaller plates. Education or willpower will not fix this automatic visual bias. To reduce intake and waste without feeling deprived, switch to smaller plates (e.g., 21cm vs 26.5cm) to reset your visual consumption norm.

Lifestyle factors such as smoking and frequent drug use are significantly associated with poor sleep quality in young males, but not in young females.

For young men, quitting smoking and avoiding frequent drug use may be particularly effective strategies for improving sleep quality, as these factors appear to have a stronger negative impact on male sleep than female sleep. Women should also avoid these, but the data suggests the link is stronger in men.

Implementing a beverage excise tax on sugar-sweetened and artificially sweetened beverages significantly increases their retail price and substantially reduces their volume sales, although cross-border shopping partially offsets the reduction in the taxed jurisdiction.

If you are a policy maker, a beverage tax is an effective tool to reduce sugary drink consumption. Expect prices to rise, which drives the reduction in sales. Be aware that some consumers will shop across borders, so design the tax to minimize this leakage (e.g., regional coordination) or accept that a portion of the sales reduction will be offset by out-of-city purchases.

Lower socioeconomic status is associated with lower dietary restraint, higher tolerance for weight gain, and fewer healthy weight control practices (e.g., reducing calories, increasing exercise), while unhealthy practices (e.g., fasting, laxative use) are more common but not always statistically significant.

Weight control programs for lower income women should focus on building dietary restraint and healthy weight management skills (e.g., regular weighing, reducing calories, increasing exercise) rather than assuming a lack of motivation or concern about weight. Addressing the higher tolerance for weight gain and teaching specific healthy practices can improve outcomes.

Insomnia is a causal risk factor for type 2 diabetes, independent of BMI.

Prioritize treating insomnia as a medical risk factor for diabetes, not just a nuisance. If you have chronic sleep difficulties, address them with the same urgency as blood sugar management.

High trait food craving (measured by FCQ-T-r) predicts susceptibility to state food craving triggered by palatable food cues, independent of physiological hunger.

If you experience strong, specific desires for certain foods (especially palatable ones) even when you aren't physically hungry, this is likely 'trait food craving' rather than a biological need. This psychological susceptibility is triggered by cues (sight, smell) and is distinct from plain hunger. Understanding this can help you differentiate between true physiological needs and cue-driven urges, allowing for more mindful dietary choices.

The accumulation of adverse modifiable factors (smoking, diabetes, obesity, hypertension, sedentary lifestyle) progressively reduces the probability of surviving to age 90.

Avoiding smoking, diabetes, obesity, hypertension, and sedentary lifestyle is crucial for reaching age 90. Each adverse factor you add significantly lowers your chances, dropping from 54% with none to just 4% with all five.

Living in an urban residence is associated with a significantly higher risk and prevalence of type 2 diabetes mellitus (T2DM) compared to living in a rural residence.

If you live in an urban area, be aware that your environment may be promoting behaviors that increase your risk of type 2 diabetes, such as less physical activity and more processed food consumption. You may need to be more intentional about your diet and exercise habits to counteract these environmental factors.

Higher neighborhood walkability is associated with a lower risk and prevalence of type 2 diabetes mellitus (T2DM).

Living in a neighborhood with higher walkability (e.g., sidewalks, mixed-use zoning, proximity to amenities) is associated with a lower risk of type 2 diabetes. This is likely because it makes physical activity easier to incorporate into daily life.

LCHF diets do not provide superior long-term weight loss or metabolic benefits compared to high-carbohydrate diets, and adherence is significantly lower over time.

If you are trying to lose weight or manage diabetes long-term, a strict LCHF diet is unlikely to give you better results than a balanced, higher-carbohydrate diet and is much harder to stick to. Focus on a diet rich in vegetables, whole grains, and moderate fat, which is easier to maintain and equally effective for weight loss over time.

In metropolitan areas, increased distance to supermarkets is associated with higher obesity prevalence and lower fruit and vegetable consumption, whereas in nonmetropolitan areas, distance to supermarkets shows no significant association with either outcome.

If you live in a city, living closer to a supermarket is linked to better diet and lower obesity risk. However, if you live in a rural area, simply moving closer to a supermarket does not guarantee better health; other factors like income, education, and local food culture are likely more important drivers of your diet.

Individuals with cardiovascular disease (CVD) or type 2 diabetes exhibit a clustered 'unhealthy behavioral phenotype' characterized by low physical activity, high television viewing, and poor sleep duration, which is significantly more prevalent in those with both conditions compared to disease-free individuals.

If you have heart disease or type 2 diabetes, your risk is significantly higher if you combine low exercise, high TV watching, and poor sleep. These behaviors tend to happen together. Focus on breaking this cluster: try to reduce evening TV time to improve sleep, and gradually increase movement. Dietary changes are important, but addressing these three non-diet behaviors is equally critical for managing your condition.