Abstract
The gradual rise in workload and the penetration of labor-saving technology minimized physical activity in the working environment, which threaten office workers’ physical and psychological well-being. Promoting physical exercise at the office is a potential solution to this problem. In the current research, we investigated the determinants of exercise behavior in general and for office exercise behavior specifically. We developed an office exercise behavior questionnaire and collected data from 479 office-based workers in different countries through an online questionnaire. We performed exploratory factor analysis to find out the essential determinants and the underlying factors. Results indicated that a four-factor solution was supported by the data and these four factors were labelled Intrinsic Motivation, Extrinsic Motivation, Social Environment, and Job Environment. The current paper sets crucial steps towards human-centered design of effective exercise behavior stimulating interventions and behavior change systems by investigating factors contribute to office workers’ exercise behavior.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Owen, N., Sugiyama, T., Eakin, E.E., Gardiner, P.A., Tremblay, M.S., Sallis, J.F.: Adults’ sedentary behavior: Determinants and interventions. Am. J. Prev. Med. 41(2), 189–196 (2011)
Thorp, A.A., Owen, N., Neuhaus, M., Dunstan, D.W.: Sedentary behaviors and subsequent health outcomes in adults: a systematic review of longitudinal studies, 1996–2011. Am. J. Prev. Med. 41(2), 207–215 (2011)
Sallis, J.F., Hovell, M.F.: Determinants of exercise behavior. Exerc. Sport Sci. Rev. 18(1), 307–330 (1990)
Sherwood, N.E., Jeffery, R.W.: The behavioral determinants of exercise: implications for physical activity interventions. Ann. Rev. Nutr. 20(1), 21–44 (2000)
Godin, G.: The Godin-Shephard leisure-time physical activity questionnaire. Health Fit. J. Can. 4(1), 18–22 (2011)
Ajzen, I., Madden, T.J.: Prediction of goal-directed behavior: attitudes, intentions, and perceived behavioral control. J. Exp. Soc. Psychol. 22(5), 453–474 (1986)
Buckworth, J., Lee, R.E., Regan, G., Schneider, L.K., DiClemente, C.C.: Decomposing intrinsic and extrinsic motivation for exercise: application to stages of motivational readiness. Psychol. Sport Exerc. 8(4), 441–461 (2007)
Sechrist, K.R., Walker, S.N., Pender, N.J.: Development and psychometric evaluation of the exercise benefit/barriers scale. Res. Nurs. Health 10(6), 357–365 (1987)
Taylor, S., Todd, P.: Decomposition and crossover effects in the theory of planned behavior: a study of consumer adoption intentions. Int. J. Res. Mark. 12(2), 137–155 (1995)
Elliot, D.L., Goldberg, L., Duncan, T.E., Kuehl, K.S., Moe, E.L., Breger, R.K.R., DeFrancesco, C.L., Ernst, D.B., Stevens, V.J.: The PHLAME firefighters’ study: Feasibility and findings. Am. J. Health Behav. 28(1), 13–23 (2004)
Hofstede, G., Minkov, M.: VSM 2013 Values Survey Module 2013 Manual. www.geerthofstede.eu
Chiou, C.F., Sherbourne, C.D., Cornelio, I., Lubeck, D.P., Paulus, H.E., Dylan, M., Chang, C.H., Weisman, M.H.: Development and validation of the revised Cedars-Sinai health-related quality of life for rheumatoid arthritis instrument. Arthritis Care Res. 55(6), 856–863 (2006)
Hair, J.F., Hult, G.T.M., Ringle, C.M., Sarstedt, M.: A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2nd ed.). Sage (2016)
MacCallum, R.C., Widaman, K.F., Zhang, S., Hong, S.: Sample size in factor analysis. Psychol. Methods 4(1), 84–99 (1999)
Wang, Y.-S., Liao, Y.-W.: The conceptualization and measurement of m-commerce user satisfaction. Comput. Hum. Behav. 23(1), 381–398 (2007)
Kaiser, H.F.: An index of factorial simplicity. Psychometrika 39(1), 31–36 (1974)
Braeken, J., van Assen, M.A.L.M.: An empirical Kaiser criterion. Psychol. Methods 22(3), 450–466 (2017)
Cattell, R.B., Jaspers, J.: A general plasmode (No. 30-10-5-2) for factor analytic exercises and research. Multivar. Behav. Res. Monogr. 211, 67--3 (1967)
Fabrigar, L.R., MacCallum, R.C., Wegener, D.T., Strahan, E.J.: Evaluating the use of exploratory factor analysis in psychological research. Psychol. Methods 4(3), 272–299 (1999)
Dishman, R.K., Sallis, J.F., Orenstein, D.R.: The determinants of physical activity and exercise. Publ. Health Rep. 100(2), 158–171 (1985)
Hovell, M., Sallis, J., Hofstetter, R., Barrington, E., Hackley, M., Elder, J., Castro, F., Kilbourne, K.: Identification of correlates of physical activity among Latino adults. J. Community Health 16(1), 23–36 (1991)
King, A.C., Haskell, W.L., Taylor, C.B., Kraemer, H.C., DeBusk, R.F.: Group- vs home-based exercise training in healthy older men and women: a community-based clinical trial. JAMA: J. Am. Med. Assoc. 266(11), 1535-1542 (1991)
Biddle, S.J.H., Mutrie, N.: Psychology of Physical Activity: Determinants, Well-being and Interventions. Routledge (2001)
Curry, S., Wagner, E.H., Grothaus, L.C.: Intrinsic and extrinsic motivation for smoking cessation. J. Consult. Clin. Psychol. 58(3), 310–316 (1990)
Deci, E.L., Ryan, R.M.: The general causality orientations scale: self-determination in personality. J. Res. Pers. 19(2), 109–134 (1985)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Zhang, T., Ham, J. (2021). Towards Human-Centered Design of Workplace Health Stimulation Interventions: Investigation of Factors Contributing to Office Workers’ Exercise Behavior. In: Ahram, T., Taiar, R., Groff, F. (eds) Human Interaction, Emerging Technologies and Future Applications IV. IHIET-AI 2021. Advances in Intelligent Systems and Computing, vol 1378. Springer, Cham. https://doi.org/10.1007/978-3-030-74009-2_50
Download citation
DOI: https://doi.org/10.1007/978-3-030-74009-2_50
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-73270-7
Online ISBN: 978-3-030-74009-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)