Skip to main content
Log in

Prospective associations of objectively assessed physical activity at different intensities with subjective well-being in older adults

  • Published:
Quality of Life Research Aims and scope Submit manuscript

Abstract

Purpose

This study aimed to examine the longitudinal independent associations of objectively assessed physical activity at different intensities, including moderate-to-vigorous physical activity, light physical activity, and sedentary behaviors, with dimensions of subjective well-being in older adults.

Methods

A total of 307 community-dwelling older adults aged 65 or older in Taiwan were interviewed in 2012. Physical activity was assessed using triaxial accelerometry. Subjective well-being was measured using the Chinese Aging Well Profile. Among them, 295 attended an 18-month follow-up study in 2013. Hierarchical linear regression models with adjustment for socio-demographic variables, lifestyle behaviors, health status, accelerometer wear time, and state of well-being at baseline were performed.

Results

The hierarchical regression models (step one) demonstrated that moderate-to-vigorous physical activity was associated with higher levels of follow-up general and specific dimensions of well-being (β = 0.19–0.24) with the exception of material and environmental well-being. After light physical activity was further included in the models (step two), the associations of moderate-to-vigorous physical activity with general, physical, and independence well-being remained, while the contribution of light physical activity was not significant. In contrast, light physical activity was a significant predictor of psychological, learning and growth, and social well-being in these models (β = 0.20–0.24), while these associations with moderate-to-vigorous physical activity were attenuated or not significant. Sedentary time was not related to any dimension of well-being.

Discussion

The findings indicate that moderate-to-vigorous physical activity and light physical activity are associated with different dimensions of well-being, suggesting that different intensities of late-life physical activity make distinct contributions to well-being.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Cosco, T. D., Prina, A. M., Perales, J., Stephan, B., & Brayne, C. (2014). Operational definitions of successful aging: A systematic review. International Psychogeriatrics, 26(3), 373–381.

    Article  PubMed  Google Scholar 

  2. World Health Organization. (2002). Active aging: A policy framework. Geneva: World Health Organization.

    Google Scholar 

  3. Helliwell, J. F., Layard, R., & Sachs, J. (Eds.). (2015). World happiness report. New York: Sustainable Development Solutions Network.

    Google Scholar 

  4. Steptoe, A., Deaton, A., & Stone, A. A. (2014). Subjective well-being, health, and ageing. The Lancet, 385, 640–648.

    Article  Google Scholar 

  5. Jivraj, S., & Nazroo, J. (2014). Determinants of socioeconomic inequalities in subjective well-being in later life: A cross-country comparison in England and the USA. Quality of Life Research, 23(9), 2545–2558.

    Article  PubMed  Google Scholar 

  6. Diener, E., Suh, E. M., Lucas, R. E., & Smith, H. L. (1999). Subjective well-being: Three decades of progress. Psychological Bulletin, 125(2), 276–302.

    Article  Google Scholar 

  7. Diener, E. (2009). Subjective well-being. The Science of Well-Being, 37, 11–58.

    Article  Google Scholar 

  8. Ku, P. W., & Chen, L. J. (2014). Chinese aging well profile. In A. Michalos (Ed.), Encyclopedia of quality of life and well-being research (pp. 826–830). Netherlands: Springer.

    Chapter  Google Scholar 

  9. Windle, G. (2014). Exercise, physical activity and mental well-being in later life. Reviews in Clinical Gerontology, 24(4), 319–325.

    Article  Google Scholar 

  10. Windle, G., Hughes, D., Linck, P., Russell, I., & Woods, B. (2010). Is exercise effective in promoting mental well-being in older age? A systematic review. Aging and Mental Health, 14(6), 652–669.

    Article  PubMed  Google Scholar 

  11. Netz, Y., Wu, M.-J., Becker, B. J., & Tenenbaum, G. (2005). Physical activity and psychological well-being in advanced age: A meta-analysis of intervention studies. Psychology and Aging, 20(2), 272–284.

    Article  PubMed  Google Scholar 

  12. Hyde, A. L., Maher, J. P., & Elavsky, S. (2013). Enhancing our understanding of physical activity and wellbeing with a lifespan perspective. International Journal of Wellbeing, 3(1), 98–115.

    Article  Google Scholar 

  13. Murphy, S. L. (2009). Review of physical activity measurement using accelerometers in older adults: Considerations for research design and conduct. Preventive Medicine, 48(2), 108–114.

    Article  PubMed  Google Scholar 

  14. Gardiner, P., Clark, B., Healy, G., Eakin, E., Winkler, E., & Owen, N. (2011). Measuring older adults’ sedentary time: Reliability, validity, and responsiveness. Medicine and Science in Sports and Exercise, 43(11), 2127–2133.

    Article  PubMed  Google Scholar 

  15. Visser, M., & Koster, A. (2013). Development of a questionnaire to assess sedentary time in older persons: A comparative study using accelerometry. BMC Geriatrics, 13(1), 80.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Van Cauwenberg, J., Van Holle, V., De Bourdeaudhuij, I., Owen, N., & Deforche, B. (2014). Older adults’ reporting of specific sedentary behaviors: Validity and reliability. BMC Public Health, 14(1), 734.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Ku, P. W., Sun, W. J., Chang, C. Y., & Chen, L. J. (2013). Reliability and validity of the Chinese version of the physical activity scale for the elderly. Sports and Exercise Research, 15(3), 309–319.

    Article  Google Scholar 

  18. Fox, K. R., Ku, P. W., Hillsdon, M., Davis, M. G., Simmonds, B. A. J., Thompson, J. L., et al. (2014). Objectively assessed physical activity and lower limb function and prospective associations with mortality and newly diagnosed disease in UK older adults: An OPAL four-year follow-up study. Age and Ageing. doi:10.1093/ageing/afu168.

    PubMed Central  Google Scholar 

  19. Simmonds, B., Fox, K. R., Davis, M., Ku, P. W., Gray, S., Hillsdon, M., et al. (2014). Objectively assessed physical activity and subsequent health service use of UK adults aged 70 and over: A four to five year follow up study. PLoS ONE, 9(5), e97676.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Gorman, E., Hanson, H. M., Yang, P. H., Khan, K. M., Liu-Ambrose, T., & Ashe, M. C. (2014). Accelerometry analysis of physical activity and sedentary behavior in older adults: A systematic review and data analysis. European Review of Aging and Physical Activity, 11(1), 35–49.

    Article  PubMed  Google Scholar 

  21. Fox, K. R., Stathi, A., McKenna, J., & Davis, M. (2007). Physical activity and mental well-being in older people participating in the Better Aging Project. European Journal of Applied Physiology, 100, 591–602.

    Article  PubMed  Google Scholar 

  22. Withall, J., Stathi, A., Davis, M., Coulson, J., Thompson, J. L., & Fox, K. R. (2014). Objective indicators of physical activity and sedentary time and associations with subjective well-being in adults aged 70 and over. International Journal of Environmental Research and Public Health, 11(1), 643–656.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Rezende, L. F., Rey-Lopez, J., Matsudo, V. K., & Luiz, O. (2014). Sedentary behavior and health outcomes among older adults: A systematic review. BMC Public Health, 14(1), 333.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Ku, P. W., Fox, K. R., Chen, L. J., & Chou, P. (2011). Physical activity, sedentary time and subjective well-being in Taiwanese older adults. International Journal of Sport Psychology, 42(3), 245–262.

    Google Scholar 

  25. Ku, P. W., Fox, K. R., Chang, C. Y., Sun, W. J., & Chen, L. J. (2014). Cross-sectional and longitudinal associations of categories of physical activities with dimensions of subjective well-being in Taiwanese older adults. Social Indicators Research, 117(3), 705–718.

    Article  Google Scholar 

  26. Buman, M., Hekler, E., Haskell, W., Pruitt, L., Conway, T., Cain, K., et al. (2010). Objective light-intensity physical activity associations with rated health in older adults. American Journal of Epidemiology, 172, 1155–1165.

    Article  PubMed  PubMed Central  Google Scholar 

  27. McMinn, D., Acharya, R., Rowe, D. A., Gray, S. R., & Allan, J. L. (2013). Measuring activity energy expenditure: Accuracy of the GT3X+ and Actiheart monitors. International Journal of Exercise Science, 6(3), 217–229.

    Google Scholar 

  28. Ku, P. W., McKenna, J., & Fox, K. R. (2007). Dimensions of subjective well-being and effects of physical activity in Chinese older adults. Journal of Aging and Physical Activity, 15, 382–397.

    Article  PubMed  Google Scholar 

  29. Ku, P. W., Fox, K. R., & McKenna, J. (2008). Assessing subjective well-being in Chinese older adults: The Chinese aging well profile. Social Indicators Research, 87, 445–460.

    Article  Google Scholar 

  30. Kim, J. E., & Moen, P. (2002). Retirement transitions, gender, and psychological well-being. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 57, 212–222.

    Article  Google Scholar 

  31. Taiwan Deportment of Health. (2002). The definition of overweight and obesity. Taipei: Taiwan Deportment of Health.

    Google Scholar 

  32. Ku, P. W., Fox, K. R., Chen, L. J., & Chou, P. (2012). Associations of leisure, work-related and domestic physical activity with cognitive impairment in older adults. International Journal of Sport Psychology, 43(3), 103–116.

    Google Scholar 

  33. Chen, L. J., Stevinson, C., Ku, P. W., Chang, Y. K., & Chu, D. C. (2012). Relationships of leisure-time and non-leisure-time physical activity with depressive symptoms: A population-based study of Taiwanese older adults. International Journal of Behavioral Nutrition and Physical Activity, 9(28), 1–10.

    CAS  Google Scholar 

  34. Lee, I.-M., & Skerrett, P. J. (2001). Physical activity and all-cause mortality: What is the dose-response relation? Medicine and Science in Sports and Exercise, 33(6 Suppl), S459–S471.

    Article  CAS  PubMed  Google Scholar 

  35. Hosmer, D. W., Lemeshow, S., & Sturdivant, R. X. (2013). Applied logistic regression (3rd ed.). New York: Wiley.

    Book  Google Scholar 

  36. Belsley, D. A., Kuh, E., & Welsch, R. E. (1980). Regression diagnostics: Identifying influential data and sources of collinearity. New York: Wiley.

    Book  Google Scholar 

  37. de Vaus, D. (2002). Analyzing social science data: 50 key problems in data analysis. London: Sage.

    Google Scholar 

  38. Arent, S. M., Landers, D. M., & Etnier, J. L. (2000). The effects of exercise on mood in older adults: A meta-analytic review. Journal of Aging and Physical Activity, 8, 407–430.

    Article  Google Scholar 

  39. Harvey, J. A., Chastin, S. F., & Skelton, D. A. (2013). Prevalence of sedentary behavior in older adults: A systematic review. International Journal of Environmental Research and Public Health, 10(12), 6645–6661.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Faulkner, G., & Biddle, S. J. H. (2013). Standing on top of the world: Is sedentary behaviour associated with mental health? Mental Health and Physical Activity, 6(1), 1–2.

    Article  Google Scholar 

  41. Ku, P. W., Fox, K. R., & Chen, L. J. (2015). Leisure-time physical activity, sedentary behaviors and subjective well-being in older adults: An eight-year longitudinal research. Social Indicators Research, 1–13. doi:10.1007/s11205-015-1005-7.

  42. Vuillemin, A., Oppert, J.-M., Guillemin, F., Essermeant, L., Fontvieille, A.-M., Galan, P., et al. (2000). Self-administered questionnaire compared with interview to assess past-year physical activity. Medicine and Science in Sports and Exercise, 32(6), 1119–1124.

    Article  CAS  PubMed  Google Scholar 

  43. Bauman, A., Bull, F., Chey, T., Craig, C., Ainsworth, B. E., Sallis, J., et al. (2009). The international prevalence study on physical activity: Results from 20 countries. International Journal of Behavioral Nutrition and Physical Activity, 6(1), 21.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgments

This work was supported by Taiwan Ministry of Science and Technology (104-2410-H-018-028). Professor Fox’s contribution was in part supported by the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre based at Oxford University Hospitals NHS Trust and University of Oxford.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Li-Jung Chen.

Ethics declarations

Conflict of interest

None.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

Informed consent

A signed, informed consent form was provided by each participant before conducting the study.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ku, PW., Fox, K.R., Liao, Y. et al. Prospective associations of objectively assessed physical activity at different intensities with subjective well-being in older adults. Qual Life Res 25, 2909–2919 (2016). https://doi.org/10.1007/s11136-016-1309-3

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11136-016-1309-3

Keywords

Navigation