A machine learning algorithm identified a subset of 68 genes, and with 92 percent accuracy could detect whether a sample was from a sleep-deprived or well-rested individual
Epidemiological studies have shown that the risk for obesity and type 2 diabetes is elevated in those who suffer from chronic sleep loss or who carry out shift work
Findings provide first experimental evidence of prolonged delayed eating versus daytime eating, showing that delayed eating can also raise insulin, fasting glucose, cholesterol, and triglyceride levels
Mothers smoking in pregnancy, children skipping breakfast and not having a regular bedtime or sufficient sleep all appear to be important factors in predicting whether a child will become overweight or obese