Methodological considerations for the calculation of cumulative compression exposure of the lumbar spine: a sensitivity analysis on joint model and time standardization approaches.

Cumulative lumbar spine loading has attracted much attention as a factor associated with the development of low back pain. While evidence supports cumulative loading to be a plausible mechanism in explaining several workplace injuries, research establishing a threshold limit value (TLV) for cumulative spine loading has been challenging. The lack of a TLV or even a trend towards harmful cumulative load values may suggest that methodological considerations are greatly influencing the results. This paper examines the impact of different joint models (single muscle equivalent, an electromyography-based third order polynomial, a modified version of the polynomial and a hybrid approach) to determine cumulative spine compression, as well as the importance of time standardization in the calculation of a daily cumulative loading dose. Findings demonstrated that the polynomial predicted cumulative compression values were 43-53% higher than those with all other models tested and the single muscle equivalent predicted loads 18% higher than loads predicted using a modified polynomial. Profound differences between modelling approaches suggest that caution should be taken when selecting a muscle model to determine cumulative spine compressive loading. Time standardized cumulative compression values were found to be 28.3% greater than non-standardized estimates, illustrating the importance of selecting a standard time frame in the calculation of cumulative spine compression.

Energy expenditure, heart rate response, and metabolic equivalents (METs) of adults taking part in children's games.

AIM: The needs of physical activity can be seen through the lack of numbers participating in regular physical activity as well as the increase in prevalence of certain diseases such as Type II diabetes (especially in children), cardiovascular diseases, and some cancers. With the increase in preventable diseases that are caused in part by a sedentary lifestyle, a closer look needs to be taken into the role of family interaction as a means of increasing physical activity for both adults and children. Because of the many benefits of physical activity in relation to health, a family approach to achieving recommended levels of physical activity may be quite applicable. METHODS: Forty volunteers were recruited from the community (20 subjects and 20 children). The volunteers played 2 games: soccer and nerfball. Data was collected over 10 minutes (5 min per game). Expired air analysis was used to calculate energy expenditure and metabolic equivalents (METs). Descriptive statistics were calculated along with a regression analysis to determine differences between the 2 games, and an ACOVA to determine any significant effects of age, child age, gender, and physical activity level on the results. RESULTS: For both games, average heart rate measured approximately 88%max; average METs measured approximately 6, average energy expenditure measured approximately 40 kcal. CONCLUSIONS: S: This study showed that adults can achieve recommended physical activity levels through these specific activities if sustained for approximately 20 min.