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Determinants of Physical Activity in Older Adults: Integrating Self-Concordance into the Theory of Planned Behavior

Author

Listed:
  • Paula Stehr

    (Department of Media and Communication Science, University of Erfurt, 99089 Erfurt, Germany)

  • Constanze Rossmann

    (Department of Media and Communication Science, University of Erfurt, 99089 Erfurt, Germany)

  • Tabea Kremer

    (Department of Media and Communication Science, University of Erfurt, 99089 Erfurt, Germany)

  • Johanna Geppert

    (Department of Media and Communication Science, University of Erfurt, 99089 Erfurt, Germany
    Current affiliation: German Federal Institute for Risk Assessment, 10589 Berlin, Germany.)

Abstract

Based on the theory of planned behavior (TPB), augmented by the concept of self-concordance (derived from self-determination theory, SDT), we conducted a study to identify the key determinants of physical activity in older adults. We applied structural equation modeling of telephone survey data from a random sample of adults aged 65 years and older living in Germany ( N = 865). Relations of attitude, subjective norms, and perceived behavioral control (PBC) with intention strength and self-concordance of intention to be physically active were tested. Habit strength was analyzed as a moderator. Data analysis showed this model to be well-suited for explaining the intention to be physically active—especially for people with a weak habit. The influence of TPB components on intention would have been underestimated if we had investigated intention strength only, without considering the self-concordance of intention. While attitude and PBC had positive relations with a strong and self-determined intention, the subjective norm showed no relation with intention strength but, rather, with non-self-determined regulation forms. We conclude that the combined model provides a better theoretical foundation from which to explain physical activity intentions than does just one of the theories.

Suggested Citation

  • Paula Stehr & Constanze Rossmann & Tabea Kremer & Johanna Geppert, 2021. "Determinants of Physical Activity in Older Adults: Integrating Self-Concordance into the Theory of Planned Behavior," IJERPH, MDPI, vol. 18(11), pages 1-16, May.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:11:p:5759-:d:563461
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    References listed on IDEAS

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    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Sheppard, Blair H & Hartwick, Jon & Warshaw, Paul R, 1988. "The Theory of Reasoned Action: A Meta-analysis of Past Research with Recommendations for Modifications and Future Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(3), pages 325-343, December.
    3. Herman Wold, 1980. "Model Construction and Evaluation When Theoretical Knowledge Is Scarce," NBER Chapters, in: Evaluation of Econometric Models, pages 47-74, National Bureau of Economic Research, Inc.
    4. Fuchs, Andreas, 2011. "Methodische Aspekte linearer Strukturgleichungsmodelle. Ein Vergleich von kovarianz- und varianzbasierten Kausalanalyseverfahren," Research Papers on Marketing Strategy 2/2011, Julius-Maximilians-Universität Würzburg, Lehrstuhl für BWL und Marketing.
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