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The importance of national levels of eudaimonic well-being to life satisfaction in old age: a global study

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Abstract

Purpose

The present study sought to test the hypotheses that the relationship between age and life satisfaction is moderated by five societal factors: (1) eudaimonic well-being (i.e., psycho-social functioning), (2) economic quality, (3) healthcare system efficiency, (4) globalization, and (5) national age.

Methods

This study was a cross-sectional analysis based on data from the Gallup World Poll. The sample consisted of 264,123 individuals across 133 countries. Multi-level modeling was used to analyze the data.

Results

The results showed that out of the five moderators, only national levels of eudaimonic well-being robustly moderated the relationship between age and life satisfaction. The relationship between age and life satisfaction was negative in countries with low and moderate levels of eudaimonic well-being, and non-significant in countries with high levels of eudaimonic well-being.

Conclusion

It seems that a non-financial way to maintain higher levels of life satisfaction in aging populations is to enhance eudaimonic well-being. This can be achieved through interventions and policies targeted at individuals, groups, and organizations.

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Notes

  1. The moderation analysis was repeated with a different index of national age, and the moderation was again found to be non-significant. The percentage of each country’s population aged 65 and above in 2015 was used as the alternative index of national age (obtained from https://data.worldbank.org). The correlation between the index used in the present study and the alternative index was 0.897 (p < .001, N = 133), suggesting a high level of consistency.

References

  1. Andrew, M. K. (2005). Social capital, health, and care home residence among older adults: A secondary analysis of the Health Survey for England 2000. European Journal of Ageing, 2(2), 137–148.

    Article  Google Scholar 

  2. Antonucci, T. C., & Ajrouch, K. J. (2007). Social resources. In H. Mollenkopf & A. Walker (Eds.), Quality of life in old age: International multi-disciplinary perspectives (No. 30) (pp. 49–64). Dordrecht: Springer.

    Chapter  Google Scholar 

  3. Argyle, M. (1996). Subjective well-being. In A. Offer (Ed.), In pursuit of the quality of life. Oxford: Oxford University Press.

    Google Scholar 

  4. Basu, S., Andrews, J., Kishore, S., Panjabi, R., & Stuckler, D. (2012). Comparative performance of private and public healthcare systems in low-and middle-income countries: A systematic review. PLoS Medicine, 9(6), e1001244.

    Article  Google Scholar 

  5. Bowling, A. (2007). Quality of life in older age: What older people say. In H. Mollenkopf & A. Walker (Eds.), Quality of life in old age (pp. 15–30). Dordrecht: Springer.

    Chapter  Google Scholar 

  6. Brandon McKelvey, J. (2009). Globalization and ageing workers: Constructing a global life course. International Journal of Sociology and Social Policy, 29(1/2), 49–59.

    Article  Google Scholar 

  7. Brown, H., & Prescott, R. (2015). Applied mixed models in medicine. Chichester: Wiley.

    Google Scholar 

  8. Chappell, N. L., & Funk, L. M. (2010). Social capital: Does it add to the health inequalities debate? Social Indicators Research, 99(3), 357–373.

    Article  Google Scholar 

  9. Chen, F., & Short, S. E. (2008). Household context and subjective well-being among the oldest old in China. Journal of Family Issues, 29(10), 1379–1403.

    Article  Google Scholar 

  10. Christensen, K., Doblhammer, G., Rau, R., & Vaupel, J. W. (2009). Ageing populations: The challenges ahead. The Lancet, 374(9696), 1196–1208.

    Article  Google Scholar 

  11. Diener, E. (2000). Subjective well-being: The science of happiness and a proposal for a national index. American Psychologist, 55(1), 34–52.

    Article  CAS  Google Scholar 

  12. Diener, E., & Chan, M. Y. (2011). Happy people live longer: Subjective well-being contributes to health and longevity. Applied Psychology: Health and Well-Being, 3(1), 1–43.

    Google Scholar 

  13. Diener, E., & Seligman, M. E. (2004). Beyond money: Toward an economy of well-being. Psychological Science in the Public Interest, 5(1), 1–31.

    Article  Google Scholar 

  14. Diener, E., & Suh, M. E. (1998). Subjective well-being and age: An international analysis. In K. W. Schaie & M. P. Lawton (Eds.), Annual review of gerontology and geriatrics, Vol 17. Focus on emotion and adult development (pp. 304–324). New York: Springer.

    Google Scholar 

  15. Dreher, A., Gaston, N., & Martens, P. (2008). Measuring globalisation: Gauging its consequences. New York: Springer.

    Book  Google Scholar 

  16. Estes, R. J., & Sirgy, M. J. (2018). Advances in well-being: Towards a better world. London: Rowman & Littlefield International.

    Google Scholar 

  17. Fortin, N., Helliwell, J. F., & Wang, S. (2015). How does subjective well-being vary around the world by gender and age? In J.F. Helliwell, R. Layard, & J. Sachs (Eds.), World happiness report (pp. 42–75). New York: Sustainable Development Solutions Network. Retrieved from http://www.unsdsn.org/happiness.

  18. Frank, R. H. (2012). The Easterlin paradox revisited. Emotion, 12(6), 1188–1191.

    Article  Google Scholar 

  19. Gwozdz, W., & Sousa-Poza, A. (2010). Ageing, health and life satisfaction of the oldest old: An analysis for Germany. Social Indicators Research, 97(3), 397–417.

    Article  Google Scholar 

  20. Gygli, S., Florian, H., & Jan-Egbert, S. (2018). The KOF globalisation indexrevisited. KOF working paper, 439. Retrieved from https://www.kof.ethz.ch/en/forecasts-and-indicators/indicators/kof-globalisation-index.html.

  21. Hagerty, M. R., Cummins, R., Ferriss, A. L., Land, K., Michalos, A., Peterson, M., et al. (2001). Quality-of-life indexes for national policy: Review and agenda for research. Social Indicators Research, 55(1), 1–96.

    Article  Google Scholar 

  22. Hox, J. (2010). Multilevel analysis: Techniques and applications. New York: Routledge.

    Book  Google Scholar 

  23. Inglehart, R. (1990). Culture shift in advanced industrial society. Princeton: Princeton University Press.

    Google Scholar 

  24. Jose, P. E. (2013). Doing statistical mediation and moderation. New York: The Guilford Press.

    Google Scholar 

  25. Joshanloo, M. (2018). Optimal human functioning around the world: A new index of eudaimonic well-being in 166 nations. British Journal of Psychology. https://doi.org/10.1111/bjop.12316.

    Article  PubMed  Google Scholar 

  26. Kansky, J., & Diener, E. (2017). Benefits of well-being: Health, social relationships, work, and resilience. Journal of Positive Psychology and Wellbeing, 1(2), 129–169.

    Google Scholar 

  27. Kasser, T. (2003). The high price of materialism. Cambridge: MIT Press.

    Google Scholar 

  28. Kasser, T., & Sheldon, K. M. (2000). Of wealth and death: Materialism, mortality salience, and consumption behavior. Psychological Science, 11(4), 348–351.

    Article  CAS  Google Scholar 

  29. Katz, S. (1995). Imagining the life-span: From premodern miracles to postmodern fantasies. In M. Featherstone & A. Wernick (Eds.), Images of aging: Cultural representations of later life (pp. 61–75). London: Routledge.

    Google Scholar 

  30. Keyes, C. L. M. (2003). Complete mental health: An agenda for the 21st century. In C. L. M. Keyes & J. Haidt (Eds.), Flourishing: Positive psychology and the life well-lived (pp. 293–312). Washington, DC: American Psychological Association.

    Chapter  Google Scholar 

  31. Koeber, C., & Wright, D. W. (2001). Wage bias in worker displacement: How industrial structure shapes the job loss and earnings decline of older American workers. The Journal of Socio-Economics, 30(4), 343–352.

    Article  Google Scholar 

  32. Krause, N., & Shaw, B. A. (2000). Role-specific feelings of control and mortality. Psychology and Aging, 15(4), 617–626.

    Article  CAS  Google Scholar 

  33. Legatum Institute. (2017). Legatum prosperity index 2017: Methodology report. Retrieved from: http://www.prosperity.com.

  34. Lutz, W., Sanderson, W., & Scherbov, S. (2008). The coming acceleration of global population ageing. Nature, 451(7179), 716–719.

    Article  CAS  Google Scholar 

  35. Magnus, G. (2012). The age of aging: How demographics are changing the global economy and our world. New York: Wiley.

    Book  Google Scholar 

  36. Malul, M. (2009). Older workers’ employment in dynamic technology changes. The Journal of Socio-Economics, 38(5), 809–813.

    Article  Google Scholar 

  37. Mollenkopf, H., & Walker, A. (2007). Quality of life in old age: International and multi-disciplinary perspectives. Dordrecht: Springer.

    Book  Google Scholar 

  38. 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  Google Scholar 

  39. Nezlek, J. B. (2010). Multilevel modeling and cross-cultural research. In D. Matsumoto & A. J. R. van de Vijver (Eds.), Cross-cultural research methods in psychology (pp. 299–347). Oxford: Oxford University Press.

    Chapter  Google Scholar 

  40. Pavot, W., & Diener, E. (2004). The subjective evaluation of well-being in adulthood: Findings and implications. Ageing International, 29(2), 113–135.

    Article  Google Scholar 

  41. Preacher, K. J., Curran, P. J., & Bauer, D. J. (2006). Computational tools for probing interaction effects in multiple linear regression, multilevel modeling, and latent curve analysis. Journal of Educational and Behavioral Statistics, 31(4), 437–448.

    Article  Google Scholar 

  42. Ryan, R. M., & Deci, E. L. (2001). To be happy or to be self-fulfilled: A review of research on hedonic and eudaimonic well-being. Annual Review of Psychology, 52, 141–166.

    Article  CAS  Google Scholar 

  43. Ryff, C., & Singer, B. (2002). From social structure to biology. In C. R. Snyder & S. J. Lopez (Eds.), Handbook of positive psychology (pp. 541–555). New York: Oxford University Press.

    Google Scholar 

  44. Sheldon, K. M., & Lyubomirsky, S. (2007). Is it possible to become happier? (And if so, how?). Social and Personality Psychology Compass, 1(1), 129–145.

    Article  Google Scholar 

  45. Sirgy, M. J. (2012). The psychology of quality of life: Hedonic well-being, life satisfaction, and eudaimonia. Dordrecht: Springer.

    Book  Google Scholar 

  46. Steptoe, A., Deaton, A., & Stone, A. A. (2015). Subjective wellbeing, health, and ageing. The Lancet, 385(9968), 640–648.

    Article  Google Scholar 

  47. Stone, A. A., Schwartz, J. E., Broderick, J. E., & Deaton, A. (2010). A snapshot of the age distribution of psychological well-being in the United States. Proceedings of the National Academy of Sciences, 107(22), 9985–9990.

    Article  CAS  Google Scholar 

  48. Suh, E. M., & Choi, S. (2018).. Predictors of subjective well-being across cultures. In E. Diener, S. Oishi & L. Tay (Eds.), Handbook of well-being. Salt Lake City: DEF.

    Google Scholar 

  49. Vella-Brodrick, D. A. (2016). Positive interventions that erode the hedonic and eudaimonic divide to promote lasting happiness. In J. Vittersø (Ed.), Handbook of eudaimonic well-being (pp. 395–406). Dordrecht: Springer.

    Chapter  Google Scholar 

  50. Vittersø, J. (2016). The most important idea in the world: An introduction. In J. Vittersø (Ed.), Handbook of eudaimonic well-being (pp. 1–24). Dordrecht: Springer.

    Chapter  Google Scholar 

  51. Weiss, L. A., Westerhof, G. J., & Bohlmeijer, E. T. (2016). Can we increase psychological well-being? The effects of interventions on psychological well-being: A meta-analysis of randomized controlled trials. PLoS ONE. 11(6), e0158092.

    Article  Google Scholar 

  52. Wendt, C. (2009). Mapping European healthcare systems: A comparative analysis of financing, service provision and access to healthcare. Journal of European Social Policy, 19(5), 432–445.

    Article  Google Scholar 

  53. West, B. T., Welch, K. B., & Galecki, A. T. (2014). Linear mixed models: A practical guide using statistical software. Boca Raton: Chapman and Hall.

    Book  Google Scholar 

  54. Van Willigen, M. (2000). Differential benefits of volunteering across the life course. The Journals of Gerontology: Series B, 55(5), S308–S318.

    Article  Google Scholar 

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Acknowledgements

This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2017S1A3A2066611).

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Correspondence to Mohsen Joshanloo.

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The authors declare no conflict of interest.

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The data used in this study have been collected by Gallup. All procedures of data collection and data management are supervised by Gallup. The data are anonymized.

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Joshanloo, M., Sirgy, M.J. & Park, J. The importance of national levels of eudaimonic well-being to life satisfaction in old age: a global study. Qual Life Res 27, 3303–3311 (2018). https://doi.org/10.1007/s11136-018-1977-2

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