TRAJECTORIES AND SOCIO-DEMOGRAPHIC PREDICTORS OF STEPS IN A WORKSITE INTERVENTION: ASUKI-STEP
2015 (English)In: Annals of Behavioral Medicine, ISSN 0883-6612, E-ISSN 1532-4796, Vol. 49, S170-S170 p.Article in journal (Other academic) Published
Promoting physical activity (PA) through worksite wellness programs may help decrease physical inactivity in adults. Purpose: This study examined the effects of a pedometer-based intervention (ASUKI-Step) on (1) trajectories of step counts over time; (2) the proportion of individuals who accumulated at least 10,000 steps per day for a minimum of 100 days; and (3) trajectories of accelerometer-determined PA over time in a sub-set of individuals. We also examined the sociodemographic characteristics associated with each outcome. Methods: ASUKI-Step was a 6-month, pedometer-based intervention offered to employees at Arizona State University (n=712) and the Karolinska Institutet (n=1390). The intervention was grounded in the theory of social support and participants enrolled in teams of 3-4 individuals to promote social support. Trajectories of change in PA were evaluated using a single-group, pre-post quasi-experimental design. Linear growth models were used to assess trajectories of change in and predictors of pedometer-based and accelerometer-determined PA. Logistic regression analyses were used to examine the proportion of individuals who met 10,000 steps per day for at least 100 days. Results: There was a significant linear (t = -20.76, p =.001) and curvilinear change in steps over time (t = 7.65, p = 0.001). Steps declined over the six months and there was significant individual variation in the trajectory of change. Men had a greater decline in steps over time while increased age was associated with a slower decline in steps over time (p < 0.05). Overall, 52.9% (n = 1105) of the participants accumulated 10,000 steps on at least 100 days of the study. Older age, being married, working in a non-managerial position, having a normal body weight, and higher initial PA level were positively associated with meeting the step goal (p <0.05). Finally, in the subset of individuals for whom we had accelerometer-derived PA levels (n=226), there were no changes over time in minutes of physical inactivity, light activity, moderate lifestyle or moderate activity. Conclusions: Findings suggest that a low-intensity, pedometer-based intervention can work with some segments of the typical office population but a more intensive intervention may be needed for individuals who are sedentary or overweight.
Place, publisher, year, edition, pages
New York: Springer , 2015. Vol. 49, S170-S170 p.
Research subject Psychology
IdentifiersURN: urn:nbn:se:uu:diva-304872ISI: 000367825002155OAI: oai:DiVA.org:uu-304872DiVA: diva2:1034391