Abstract:

BACKGROUND: There are no systematic and high-targeted health guidance systems that are effective and easy to be accepted by the elderly.
OBJECTIVE: To establish a mathematical model for predicting the effect of walking on the weight loss of the obese elderly.
METHODS: Fifty obese old people received walking exercise under 40%-60% maximal oxygen uptake and with a heart rate of 100-120 beats/per minute for 3 months, 40 minutes once, 5 times a week. The mathematical model was established to predict the body mass. Model 1: a direct proportion function associated with pre-exercise body mass (m1) and training days (t); Model 2: a direct proportion function associated with pre-exercise body mass (m1), age (a), height (h), sex, and training days (t).
RESULT AND CONCLUSION: Compared with the data prior to the exercise, the body mass, fat percentage, body mass index and obesity degree were declined significantly after the exercise (P < 0.01), indicating that the weight-reducing effect of walking was rather outstanding. The model 1 could be used to predict the body mass (mt) after t-day walking exercise based on pre-exercise body mass (m1) and consuming energy of 6-minute quick walking (e). The model 2 could be used to predict the body mass (mt) after t-day walking exercise (t≥2) based on age (a), sex, pre-exercise body mass (m1), height (h) and consuming energy of 6-minute quick walking (e). For the same trainer, the model 2 is more accurate than the model 1 in the predictable results, but the model 1 is easier to practice.