Obese People See Self-Esteem Soar After Weight Loss Surgery: Study
- Researchers at Northwestern University published a new algorithm on June 19, 2025, improving energy expenditure accuracy for people with obesity using wrist-worn smartwatches.
- This innovation addresses the longstanding issue of fitness trackers delivering unreliable calorie burn measurements for individuals with higher body weight, which results from variations in physical characteristics and motion patterns not accounted for by standard devices.
- The study involved 52 participants with an average BMI of 36, and the algorithm matched metabolic cart lab results with greater accuracy than existing methods.
- During real-world evaluations, the algorithm’s predictions matched reliable standards in 95% of cases, indicating its promise for advancing equitable health technology.
- This advancement may help people with obesity make better-informed health decisions by providing reliable data for monitoring physical activity and energy expenditure.
33 Articles
33 Articles
Popular Fitness Trackers Often Fail People With Obesity. Northwestern Study Reveals The Fix
Fitness trackers promise to monitor daily energy expenditure and help guide health decisions, but they've consistently failed to provide accurate readings for people carrying extra weight. The post Popular Fitness Trackers Often Fail People With Obesity. Northwestern Study Reveals The Fix appeared first on Study Finds.
Humanity is undergoing an unprecedented physical transformation. Since 1990, obesity has more than doubled in adults and has quadrupled in adolescents, according to World Health Organization data. One out of every eight people in the world is obese. And nearly half of citizens are overweight, because of sedentaryism and junk food. The director general of the institution, Ethiopian biologist Tedros Ghebreyesus, made a call three months ago to los…


Feast and famine approach to dieting effective for weight loss – study
Experts examined studies comparing information on various dietying methods
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