Abstract
Abstract
OBJECTIVES: To investigate the associations of objectively measured daily step counts and intensity with overweightness/obesity in older women.
METHODS: Totally, 1 085 community-dwelling older women were included. Overweightness/obesity indicators were measured by body composition analyzer. Daily step counts, peak 1-minute cadence (peak 1 cadence), and peak 30-minute cadence (peak 30 cadence) were measured via tri-axial accelerometer. Multiple linear regression analyses were used to assess the association of total daily step counts, peak cadence and their joint effects with different overweightness/obesity indicators. Receiver operating characteristic curve (ROC) analysis was used to determine the optimal daily steps, peak 1 cadence, peak 30 cadence cut-off values to distinguish overweightness/obesity.
RESULTS:After adjusting for confounders, a significant association was found between daily step counts, cadence or intensity and the overweightness/obesity. Each 1 000 step increase in daily step counts was associated with a 0.2% reduction in body fat ratio (BFR). Each 1 steps/min increase in peak 1 cadence and peak 30 cadence was associated with a decrease in BFR 0.09% and 0.07%, respectively. The joint effect showed that the high step and intensity (HSHI) group had the best effect on reducing obesity. ROC curve analysis showed that the optimal cut-off points of daily step count, peak 1 cadence and peak 30 cadence for predicting overweightness/obesity were 9 135 steps, 126.9 steps/min and 89.0 steps/min, respectively.
CONCLUSION: Increasing daily step count and intensity in walking activities is an effective way to lose weight although daily step count is not associated with BMI. It is recommended that older women walk more than 9 135 steps a day. Different steps and intensity combination can be considered according to the actual condition of older women, and increase daily step count or step intensity appropriately.
Publisher
Research Square Platform LLC