Abstract
Seventy-six obese female outpatients underwent controlled 1000 kcal diets (50% carbohydrate, 25% fat, 25% protein). Prior-to-treatment data underwent "step-wise" multiple regression analysis to investigate the possibility of predicting body weight after 6 months of treatment (y), Body weight can be forecast using a linear regression function. This function, based on initial weight (x1) and adipose cell weight (x2), uses the equation y = 9.75 + 0.87x1 - 8.41x2 (F = 696.53; P less than 0.001; R2 = 0.95). Afterwards, patients were subdivided into three groups according to the difference between 6th and 12th month body weights: weight loss, weight stable, and weight increase groups. Weight gaining patients showed a significantly higher mean fat cell number, weight lossers had a higher mean adipose cell weight than the other two groups.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call