uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
TRAJECTORIES AND SOCIO-DEMOGRAPHIC PREDICTORS OF STEPS IN A WORKSITE INTERVENTION: ASUKI-STEP
Arizona State University, Phoenix, AZ, USA.
Imam Reza Hospital, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Arizona State University, Phoenix, AZ, USA.
Arizona State University, Phoenix, AZ, USA.
Show others and affiliations
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
Abstract [en]

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.
National Category
Psychology
Research subject
Psychology
Identifiers
URN: urn:nbn:se:uu:diva-304872ISI: 000367825002155OAI: oai:DiVA.org:uu-304872DiVA: diva2:1034391
Available from: 2016-03-29 Created: 2016-10-11 Last updated: 2017-11-29

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Yngve, Agneta
In the same journal
Annals of Behavioral Medicine
Psychology

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 333 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf