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Identifying and describing segments of office workers by activity patterns

Identifying and describing segments of office workers by activity patterns PurposeThe purpose of this paper is to identify and characterize patterns of physical activity among office workers employed in largely sedentary occupations at a major health insurer located in the Southeastern USA.Design/methodology/approachThe authors used latent class analysis to identify segments of office workers (n=239) based on their self-reported activities of daily living and exercise behaviors. The authors examined the association of demographic characteristics with segment membership, and differences in accelerometer-measured weekly minutes of light and moderate-vigorous physical activity across segments.FindingsThe authors identified two segments and labeled them “exerciser” and “non-exerciser.” Being female was associated with lower odds of membership in the “exerciser” segment (OR=0.18; 95% CI=0.06, 0.52), while those with at least a bachelor’s degree were more likely to be in the “exerciser” segment (OR=2.12; 95% CI=1.02, 4.40). Mean minutes of moderate-vigorous physical activity per week were greater for the “exerciser” segment than the “non-exerciser” segment.Practical implicationsBased on this sample, the authors found that office workers in sedentary occupations were roughly equally divided and distinguished by their engagement in exercise-type behaviors. The findings underscore the need for innovative workplace programming that enhances activity opportunities particularly for those that are not likely to exercise.Originality/valueA scarcity of research on activity patterns among office workers inhibits development of targeted worksite activity programming. The present research reveals two segments of workers with regard to their activity patterns and suggests ways for worksites to meet their unique needs. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Workplace Health Management Emerald Publishing

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Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
1753-8351
DOI
10.1108/IJWHM-07-2017-0053
Publisher site
See Article on Publisher Site

Abstract

PurposeThe purpose of this paper is to identify and characterize patterns of physical activity among office workers employed in largely sedentary occupations at a major health insurer located in the Southeastern USA.Design/methodology/approachThe authors used latent class analysis to identify segments of office workers (n=239) based on their self-reported activities of daily living and exercise behaviors. The authors examined the association of demographic characteristics with segment membership, and differences in accelerometer-measured weekly minutes of light and moderate-vigorous physical activity across segments.FindingsThe authors identified two segments and labeled them “exerciser” and “non-exerciser.” Being female was associated with lower odds of membership in the “exerciser” segment (OR=0.18; 95% CI=0.06, 0.52), while those with at least a bachelor’s degree were more likely to be in the “exerciser” segment (OR=2.12; 95% CI=1.02, 4.40). Mean minutes of moderate-vigorous physical activity per week were greater for the “exerciser” segment than the “non-exerciser” segment.Practical implicationsBased on this sample, the authors found that office workers in sedentary occupations were roughly equally divided and distinguished by their engagement in exercise-type behaviors. The findings underscore the need for innovative workplace programming that enhances activity opportunities particularly for those that are not likely to exercise.Originality/valueA scarcity of research on activity patterns among office workers inhibits development of targeted worksite activity programming. The present research reveals two segments of workers with regard to their activity patterns and suggests ways for worksites to meet their unique needs.

Journal

International Journal of Workplace Health ManagementEmerald Publishing

Published: Feb 5, 2018

References