To lower your risk of type 2 diabetes, our read is that focusing on lifestyle interventions like diet and exercise, alongside careful monitoring of metabolic markers, is well supported.
Our read is that type 2 diabetes is linked to broader metabolic disease, including hyperinsulinemia, insulin resistance, and non-alcoholic fatty liver disease, and can lead to significant health complications.
Our read is that lifestyle factors, such as diet and exercise, play a crucial role in managing and potentially preventing the condition, with specific dietary adjustments and physical activity showing promise.
Our read is that while certain genetic predispositions exist, a proactive approach to metabolic health is emphasized, moving beyond simplistic views of diabetes management.
Our read is that specific methods to lower risk include incorporating "exercise snacks" to improve blood glucose control, and for individuals with type 2 diabetes and non-alcoholic fatty liver disease, temporarily reducing fruit intake. Rhonda Patrick suggests that apple cider vinegar, in doses of 1-2 tablespoons daily, may lower fasting blood glucose and HbA1c in individuals with type 2 diabetes. Andrew Huberman notes that the ketogenic diet is an evidence-based treatment for epilepsy in treatment-resistant cases.
Our read is that there are several disagreements and nuances to consider. Paul Saladino argues that blood glucose spikes from carbohydrates do not cause obesity or diabetes, and that processed sugar and soda are major dietary problems. He also cautions that epidemiological studies on low-carbohydrate diets can be misleading if they do not differentiate between true ketogenic diets and those including processed carbohydrates, refined vegetable oils, and sugars. Paul Saladino further suggests that grain-based and legume-based carbohydrates can contribute to diabetes by causing gut issues, bacterial overgrowth, and inflammation. Peter Attia states that insulin promoters encourage lazy treatment for Type 2 Diabetes by providers. Paul Saladino also contends that medical professionals are often taught that conditions like high blood pressure, diabetes, obesity, and heart disease are primarily due to bad genetics, rather than lifestyle and environmental factors. He also believes that chasing fasting blood sugar as the primary marker for diabetes management can be misleading, and that testing blood work only once a year or every six months provides insufficient feedback. Paul Saladino repeatedly states that the Mayo Clinic's recommendation of seed oils like olive, sunflower, safflower, cottonseed, and canola is incorrect and promotes the development of diabetes. Rhonda Patrick notes that fasting blood glucose measurements taken only once per year may not accurately reflect an individual's glucose control or metabolic health. Rhonda Patrick also suggests that shifting substrate oxidation from glucose to fats with high omega-3 doses may worsen glucose levels in diabetic patients or those with high circulating glucose. Paul Saladino claims that using mouthwash daily is associated with increased blood pressure and an increased rate of diabetes.
Our read is that the verdict could change with more definitive research on the precise mechanisms of beta cell recovery, the long-term efficacy of high-intensity exercise versus moderate exercise for glucose control in type 2 diabetes, and a clearer understanding of why certain comorbidities predispose individuals to severe outcomes from viral infections. Further, a deeper understanding of whether epigenetic changes in beta cells are causal or consequential in type 1 diabetes, and the exact reasons for weight gain in type 1 diabetes with tight glycemic control, would also impact our understanding.
Benefits hold across the populations where it's been tested.
The intervention improves the primary outcome at standard doses in healthy adults.
Mechanistic and trial evidence converge on a real, replicable effect.
Benefits hold across the populations where it's been tested.
The effect size is large enough to matter clinically, not just statistically.
The headline effect shrinks once you account for trial quality.
The headline effect shrinks once you account for trial quality.
Animal-model results don't translate to the human protocol being recommended.
Animal-model results don't translate to the human protocol being recommended.
Animal-model results don't translate to the human protocol being recommended.