Diet Reviews
Choosing the right diet is crucial, as it can have long-term consequences on your health. With such a wide array of options, it’s important to prioritize both weight loss and overall health. Our experts will provide you with the tools to distinguish healthy diets from unhealthy ones and examine the evidence behind the most popular diets.
Our Picks for the Best Diets
Atkins Diet
#7 Best Diet
The Atkins diet is a low-carbohydrate eating plan that emphasizes high protein and fat intake, using stored fat for energy rather than carbohydrates.
Overall Score
2.9/5.0
Evidence
2.9/5.0
Ease
2.9/5.0
Carnivore Diet
#7 Best Diet
The Atkins diet is a low-carbohydrate eating plan that emphasizes high protein and fat intake, using stored fat for energy rather than carbohydrates. Read More>>
Overall Score
1.3/5.0
Evidence
2.9/5.0
Ease
2.9/5.0
Carnivore Diet
#7 Best Diet
The Atkins diet is a low-carbohydrate eating plan that emphasizes high protein and fat intake, using stored fat for energy rather than carbohydrates. Read More>>
Overall Score
1.3/5.0
Evidence
2.9/5.0
Ease
2.9/5.0
Before You Begin
Carnivore Diet
#7 Best Diet
The Atkins diet is a low-carbohydrate eating plan that emphasizes high protein and fat intake, using stored fat for energy rather than carbohydrates. Read More>>
Overall Score
1.3/5.0
Evidence
2.9/5.0
Ease
2.9/5.0
Carnivore Diet
#7 Best Diet
The Atkins diet is a low-carbohydrate eating plan that emphasizes high protein and fat intake, using stored fat for energy rather than carbohydrates. Read More>>
Overall Score
1.3/5.0
Evidence
2.9/5.0
Ease
2.9/5.0
Before You Begin
Recommended Diets
What About Supplements?
All Diets - Ranked and Reviewed
Types of Nutrition Research
Randomized controlled trials (RCTs) are considered the gold standard for health research. In an RCT, researchers randomly assign participants to either an intervention group (which receives the treatment being studied) or a control group (which does not). This random assignment helps minimize bias and determine if any observed changes are due to the intervention or merely chance.
RCTs are particularly effective in studying new drugs, as researchers can compare the effects of the drug against standard care or a placebo. However, RCTs in nutrition research have limitations, as diets are far more complex than drugs and contain thousands of compounds with various effects on the body. Additionally, RCTs can be expensive and often relatively short, limiting their application in assessing long-term effects.
Observational studies, also known as epidemiological or population studies, follow large groups of people over extended periods. Researchers collect data on participants’ dietary and lifestyle habits and monitor the development of chronic diseases. These studies can identify potential connections between diet, lifestyle, and disease, but they cannot prove causation.
For example, an observational study might find a correlation between blueberry consumption and improved health. However, it cannot determine whether blueberries cause better health or if health-conscious individuals are more likely to eat blueberries. Observational studies can only show associations, not causation.
Health practitioners may notice improvements in patients’ health following the adoption of a particular diet. While these observations can provide valuable insights and suggest areas for further research, they do not constitute definitive evidence of a diet’s efficacy.
Clinical observations and expert opinions lack control groups for comparison, making them more susceptible to bias than RCTs. As a result, they should not be considered the sole basis for making dietary decisions.
Animal and lab studies involve controlled experiments on animals or in laboratory settings, such as test tubes and Petri dishes. These studies can provide preliminary information about potential benefits or risks and help determine if human trials are warranted.
However, it is important not to base dietary decisions solely on animal or lab research. What works for mice or cells in a Petri dish may not necessarily apply to humans.