Study on prevalence of physical activity in rural residents in four counties (districts) of Shanxi and Chongqing / 中华流行病学杂志

Objective: To investigate the prevalence of physical activity and its influencing factors in rural residents in Shanxi and Chongqing. Methods: In four counties (districts) of Shanxi and Chongqing, local residents aged ≥18 who lived there for more than one year and had no plan to migrate to other areas in 2 years were surveyed through face to face questionnaire interviews to collect the information about their daily physical activity time, sedentary time, related knowledge and attitude, and others. Results: The physical inactivity rate of the residents was 14.9%, and 88.7% of residents never took daily physical activity. The average sedentary time was (3.91±2.06) hours. The results of multivariate analysis showed that education level, per capita monthly income and activity degree were the factors influencing physical inactivity. Conclusion: The proportion of people who never took daily physical activity in the survey area was higher than the average level in rural areas in China, so measures should be taken to improve the overall rate of physical activity. For people who have exercise willingness, but have no practice, and those who have already increased their physical activities, targeted guidance is needed on the basis of strengthened health education.

General plan of Shanghai Diet and Health Survey / 中华流行病学杂志

Shanghai Diet and Health Survey (SDHS) was designed to prospectively access local residents' food consumption, energy and nutrient intake, related chemical contaminant exposure, and the seasonal change trend to explore the relationship of diet with health. Data from SDHS can be used as fundamental information and scientific evidences for the development of local nutrition and food safety policies.

Evaluating alternative gait strategies using evolutionary robotics.

Evolutionary robotics is a branch of artificial intelligence concerned with the automatic generation of autonomous robots. Usually the form of the robot is predefined and various computational techniques are used to control the machine's behaviour. One aspect is the spontaneous generation of walking in legged robots and this can be used to investigate the mechanical requirements for efficient walking in bipeds. This paper demonstrates a bipedal simulator that spontaneously generates walking and running gaits. The model can be customized to represent a range of hominoid morphologies and used to predict performance parameters such as preferred speed and metabolic energy cost. Because it does not require any motion capture data it is particularly suitable for investigating locomotion in fossil animals. The predictions for modern humans are highly accurate in terms of energy cost for a given speed and thus the values predicted for other bipeds are likely to be good estimates. To illustrate this the cost of transport is calculated for Australopithecus afarensis. The model allows the degree of maximum extension at the knee to be varied causing the model to adopt walking gaits varying from chimpanzee-like to human-like. The energy costs associated with these gait choices can thus be calculated and this information used to evaluate possible locomotor strategies in early hominids.