Background: The health benefit associated with a daily step-count target within pedometer programs is unclear. The aim of this study was to determine if the daily step-count attained during a four month pedometer-base...Background: The health benefit associated with a daily step-count target within pedometer programs is unclear. The aim of this study was to determine if the daily step-count attained during a four month pedometer-based workplace health program was associated with change in waist circumference (WC). Methods: 762 Australian adults enrolled in a workplace pedometer program were recruited from ten workplaces in 2008. At the end of the program (four months), 436 participants were eligible for the current analysis. Data included demographics, perceived physical activity change during the program, measured WC at baseline and follow-up, and reported daily pedometer step-counts throughout the program. The association between daily step count and change in WC was examined using linear regression. Results: WC improved by an average of –1.61cm (95% CI: –2.13, –1.09) by the end of the program. There was no relationship between daily step-count and the degree of change in WC. However, among participants reporting an increase in physical activity during the program a relationship between daily step count and change in WC was observed, such that those who undertook on average 10,000 steps or more per day improved their WC by –1.38cm (95%CI: –2.14, –0.63) more than those who did not achieve an average of 10,000 steps per day. Similarly, among individuals not meeting WC guidelines at baseline a greater daily step count was associated with a greater decrease in WC. Conclusions: Within a workplace pedometer program, reported daily step count was not associated with greater reductions in WC. However, it was a useful indicator of potential health benefits in those who increased their level of physical activity during the program. Pedometer programs need to communicate clearly the importance of both a step goal and improvement in step count to manage participant expectations about improvements in health markers.展开更多
Purpose：This study aimed（1） to examine the longitudinal trajectories in objectively measured physical activity（PA）;（2） to identify unknown（i.e.,latent） subgroups with distinct trajectories;and（3） to examine...Purpose：This study aimed（1） to examine the longitudinal trajectories in objectively measured physical activity（PA）;（2） to identify unknown（i.e.,latent） subgroups with distinct trajectories;and（3） to examine the correlates of latent subgroups among community dwelling women.Methods：The study sample included a total of 669 women from the Women＇s Injury Study,a 5-year prospective cohort study conducted from2007 in the Southwest Central region of the US.Pedometer-based step-count data across 18 consecutive months were fitte to a latent growth model（LGM） and a latent class growth model（LCGM）.Baseline characteristics were regressed on latent class membership.Results：The longitudinal change in PA was best fi to a piecewise LGM with seasonal transitions.Significant y increased and decreased levels of PA were observed during the spring,fall,and winter,respectively（p〈0.001）.Three latent subgroups with distinct PA trajectories were identifie（low-active（46.8%）,somewhat-active（41.3%）,and active（11.9%））.Age and body fat percentage at the baseline significant y explained the likelihoods of being in low-active subgroup.Conclusion：Seasonal variations in PA among women were observed but may not be practically significant A relatively large portion of the sample showed low levels of PA for long periods.Intervention strategies should be considered for women who are overweight or obese,and aged 〉40 years old to promote PA during the life course.展开更多
文摘Background: The health benefit associated with a daily step-count target within pedometer programs is unclear. The aim of this study was to determine if the daily step-count attained during a four month pedometer-based workplace health program was associated with change in waist circumference (WC). Methods: 762 Australian adults enrolled in a workplace pedometer program were recruited from ten workplaces in 2008. At the end of the program (four months), 436 participants were eligible for the current analysis. Data included demographics, perceived physical activity change during the program, measured WC at baseline and follow-up, and reported daily pedometer step-counts throughout the program. The association between daily step count and change in WC was examined using linear regression. Results: WC improved by an average of –1.61cm (95% CI: –2.13, –1.09) by the end of the program. There was no relationship between daily step-count and the degree of change in WC. However, among participants reporting an increase in physical activity during the program a relationship between daily step count and change in WC was observed, such that those who undertook on average 10,000 steps or more per day improved their WC by –1.38cm (95%CI: –2.14, –0.63) more than those who did not achieve an average of 10,000 steps per day. Similarly, among individuals not meeting WC guidelines at baseline a greater daily step count was associated with a greater decrease in WC. Conclusions: Within a workplace pedometer program, reported daily step count was not associated with greater reductions in WC. However, it was a useful indicator of potential health benefits in those who increased their level of physical activity during the program. Pedometer programs need to communicate clearly the importance of both a step goal and improvement in step count to manage participant expectations about improvements in health markers.
基金supported by the grant from the National Institutes of Health–National Institute of Arthritis and Musculoskeletal and Skin Diseases(No.R01 AR052459)
文摘Purpose：This study aimed（1） to examine the longitudinal trajectories in objectively measured physical activity（PA）;（2） to identify unknown（i.e.,latent） subgroups with distinct trajectories;and（3） to examine the correlates of latent subgroups among community dwelling women.Methods：The study sample included a total of 669 women from the Women＇s Injury Study,a 5-year prospective cohort study conducted from2007 in the Southwest Central region of the US.Pedometer-based step-count data across 18 consecutive months were fitte to a latent growth model（LGM） and a latent class growth model（LCGM）.Baseline characteristics were regressed on latent class membership.Results：The longitudinal change in PA was best fi to a piecewise LGM with seasonal transitions.Significant y increased and decreased levels of PA were observed during the spring,fall,and winter,respectively（p〈0.001）.Three latent subgroups with distinct PA trajectories were identifie（low-active（46.8%）,somewhat-active（41.3%）,and active（11.9%））.Age and body fat percentage at the baseline significant y explained the likelihoods of being in low-active subgroup.Conclusion：Seasonal variations in PA among women were observed but may not be practically significant A relatively large portion of the sample showed low levels of PA for long periods.Intervention strategies should be considered for women who are overweight or obese,and aged 〉40 years old to promote PA during the life course.
