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Associations of Physical Activity and Sedentary Behavior with Optimism and Positive Affect in Older Women

Author

Listed:
  • Rita H. Ryu

    (University of California San Diego, Herbert Wertheim School of Public Health and Longevity Science)

  • Britta Larsen

    (University of California San Diego, Herbert Wertheim School of Public Health and Longevity Science)

  • Andrea LaCroix

    (University of California San Diego, Herbert Wertheim School of Public Health and Longevity Science)

  • Steve Nguyen

    (University of California San Diego, Herbert Wertheim School of Public Health and Longevity Science)

  • Alex Ivan B. Posis

    (University of California San Diego, Herbert Wertheim School of Public Health and Longevity Science
    San Diego State University, San Diego State University)

  • Benjamin T. Schumacher

    (University of California San Diego, Herbert Wertheim School of Public Health and Longevity Science)

  • Suzanne C. Danhauer

    (Wake Forest University School of Medicine)

  • Hilary A. Tindle

    (Vanderbilt University
    Veterans Affairs Tennessee Valley Healthcare System)

  • John Bellettiere

    (University of California San Diego, Herbert Wertheim School of Public Health and Longevity Science)

Abstract

Psychological well-being is linked to healthy aging in older women, but associations with health behaviors are not well understood. Our study aims to evaluate the relationships between objectively-measured physical behavior (including physical activity and sedentary behavior) with optimism and positive affect in a diverse sample of older women. Our cross-sectional study of 4168 American women (aged 63–99) with accelerometer-measured physical behavior from the Objective Physical Activity and Cardiovascular Health Study assessed associations using multiple linear regression. Effect modification by age, race and ethnicity, social support, and number of chronic conditions was examined as well. In unadjusted models, positive associations for physical activity and negative associations for sedentary behaviors were generally linear for optimism and positive affect. In adjusted models, every one-hour increment in weekly moderate-vigorous physical activity was associated with higher optimism by 0.4 score points [Revised 6-item Life Orientation Test, 95% CI = 0.2, 0.6] and positive affect by 0.6 score points [modified Differential Emotions Scale, 95% CI = 0.2, 0.9]. One-hour increments in light physical activity were associated with higher positive affect [0.2 score points; 95% CI = 0.03, 0.33] while one-hour increments in sedentary behavior patterns were associated with lower positive affect [-0.1 score points; 95% CI = − 0.10, − 0.02). Effect modification by age, race and ethnicity, social support, and number of chronic conditions was not observed. In conclusion, associations between physical behavior with optimism and positive affect were modest but suggest greater activity and less sedentary time are associated with greater psychological well-being in older women.

Suggested Citation

  • Rita H. Ryu & Britta Larsen & Andrea LaCroix & Steve Nguyen & Alex Ivan B. Posis & Benjamin T. Schumacher & Suzanne C. Danhauer & Hilary A. Tindle & John Bellettiere, 2023. "Associations of Physical Activity and Sedentary Behavior with Optimism and Positive Affect in Older Women," Journal of Happiness Studies, Springer, vol. 24(2), pages 717-743, February.
  • Handle: RePEc:spr:jhappi:v:24:y:2023:i:2:d:10.1007_s10902-022-00612-4
    DOI: 10.1007/s10902-022-00612-4
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    References listed on IDEAS

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    1. van Buuren, Stef & Groothuis-Oudshoorn, Karin, 2011. "mice: Multivariate Imputation by Chained Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i03).
    2. Edward Deci & Richard Ryan, 2008. "Hedonia, eudaimonia, and well-being: an introduction," Journal of Happiness Studies, Springer, vol. 9(1), pages 1-11, January.
    3. Sherbourne, Cathy Donald & Stewart, Anita L., 1991. "The MOS social support survey," Social Science & Medicine, Elsevier, vol. 32(6), pages 705-714, January.
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