Journal of Happiness Studies

, Volume 10, Issue 6, pp 703–719 | Cite as

Flow and Happiness in Later Life: An Investigation into the Role of Daily and Weekly Flow Experiences

  • Amy Love CollinsEmail author
  • Natalia Sarkisian
  • Ellen Winner
Research Paper


Fifty-four older adults ranging in age from 70 to 86 years old (M = 77.54) reported daily levels of positive and negative affect, life satisfaction and daily activities for seven consecutive days. Hierarchical linear modeling (HLM) was used to investigate inter- and intra-individual effects of flow experiences on affect. Higher quality of flow was positively associated with high arousal positive affect (i.e., feeling peppy, enthusiastic, happy), negatively associated with low arousal negative affect (i.e., feeling sad and disappointed), and positively associated with life satisfaction. However, more frequent flow experiences throughout the week predicted lower average levels of positive affect and life satisfaction. Overall, the results demonstrate that flow is linked to the affective experiences of older adults, and that an individual’s overall propensity to experience flow may be influential beyond the immediate effects of a given flow experience.


Happiness Life satisfaction Flow Older adults Aging 


  1. Asakawa, K. (2004). Flow experience and autotelic personality in Japanese college students: How do they experience challenges in daily life? Journal of Happiness Studies, 5(2), 123–154. doi: 10.1023/B:JOHS.0000035915.97836.89.CrossRefGoogle Scholar
  2. Baltes, P., & Mayer, K. U. (1999). The Berlin aging study: Aging from 70 to 100. Cambridge, UK: Cambridge University Press.Google Scholar
  3. Blazer, D. (2003). Depression in late life: Review and commentary. Journal of Gerontology: Medical Sciences, 58A(3), 249–265.Google Scholar
  4. Bradburn, N. M. (1969). The structure of psychological well-being. Oxford, England: Aldine.Google Scholar
  5. Brandtstaedter, J., & Wentura, D. (1995). Adjustment to shifting possibility frontiers in later life: Complementary adaptive modes. In R. A. Dixon & L. Bäckman (Eds.), Compensating for psychological deficits: Managing losses and promoting gains (pp. 83–105). Mahwah, NJ: L. Erlbaum Associates.Google Scholar
  6. Cacioppo, J. T., & Bernston, G. G. (1999). The affect system: Architecture and operating characteristics. Current Directions in Psychological Science, 8(5), 133. doi: 10.1111/1467-8721.00031.CrossRefGoogle Scholar
  7. Cacioppo, J. T., Garnder, W. L., & Bernston, G. G. (1999). The affect system has parallel and integrative processing components: Form follows function. Journal of Personality and Social Psychology, 76(5), 839. doi: 10.1037/0022-3514.76.5.839.CrossRefGoogle Scholar
  8. Cantril, H. (1999). The pattern of human concerns. New Brunswick, NJ: Rutgers University Press.Google Scholar
  9. Carstensen, L. L. (1995). Evidence for a life-span theory of socioemotional selectivity. Current Directions in Psychological Science, 4(5), 151–156. doi: 10.1111/1467-8721.ep11512261.CrossRefGoogle Scholar
  10. Carstensen, L. L., Pasupathi, M., Mayr, U., & Nesselroade, J. R. (2000). Emotional experience in everyday life across the adult life span. Journal of Personality and Social Psychology, 79(4), 644–655. doi: 10.1037/0022-3514.79.4.644.CrossRefGoogle Scholar
  11. Csikszentmihalyi, M. (1982). Toward a psychology of optimal experience. In L. Wheeler (Ed.), Review of personality and social psychology (Vol. 2, pp. 13–36). Beverly Hills: Sage.Google Scholar
  12. Csikszentmihalyi, M. (1988). The flow experience and human psychology. In M. Csikszentmihalyi & I. Csikszentmihalyi (Eds.), Optimal experience: Psychological studies of flow in consciousness (pp. 15–35). Cambridge, England: Cambridge University Press.Google Scholar
  13. Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. New York: Harper Collins.Google Scholar
  14. Csikszentmihalyi, M., & Figurski, T. (1982). Self-awareness and aversive experience in everyday life. Journal of Personality, 50(1), 15–28. doi: 10.1111/j.1467-6494.1982.tb00742.x.CrossRefGoogle Scholar
  15. Csikszentmihalyi, M., & Hunter, J. (2003). Happiness in everyday life: The uses of experience sampling. Journal of Happiness Studies, 4(2), 185–199.Google Scholar
  16. Csikszentmihalyi, M., & LeFevre, J. (1989). Optimal experience in work and leisure. Journal of Personality and Social Psychology, 56(5), 815–822. doi: 10.1037/0022-3514.56.5.815.CrossRefGoogle Scholar
  17. Csikszentmihalyi, M., & Rathunde, K. (1993). The measurement of flow in everyday life. Nebraska Symposium on Motivation, 40, 57–97.Google Scholar
  18. Dannefer, D. (1987). Aging as intracohort differentiation: Accentuation, the Matthew effect, and the life course. Sociological Forum, 2(2), 211–236. doi: 10.1007/BF01124164.CrossRefGoogle Scholar
  19. Diener, E., & Suh, E. (1997). Measuring quality of life: Economic, social and subjective indicators. Social Indicators Research, 40, 189–216. doi: 10.1023/A:1006859511756.CrossRefGoogle Scholar
  20. Diener, E., Oishi, S., & Lucas, R. (2003a). Personality, culture and subjective well-being: Emotional and cognitive evaluations of life. Annual Review of Psychology, 54, 403–425. doi: 10.1146/annurev.psych.54.101601.145056.CrossRefGoogle Scholar
  21. Diener, E., Scollon, C. N., & Lucas, R. E. (2003b). The evolving concept of subjective well-being: The multi-faceted nature of happiness. In P. T. Costa & I. C. Siegler (Eds.), Advances in cell aging and gerontology (Vol. 15, pp. 187–219). New York: Elsevier Science.Google Scholar
  22. Feldman Barrett, L., & Russell, J. (1998). Independence and bipolarity in the structure of current affect. Journal of Personality and Social Psychology, 74(4), 967–984. doi: 10.1037/0022-3514.74.4.967.CrossRefGoogle Scholar
  23. Fredrickson, B. L. (2001). The role of positive emotions in positive psychology: The broaden-and-build theory of positive emotions. The American Psychologist, 56(3), 218–226. doi: 10.1037/0003-066X.56.3.218.CrossRefGoogle Scholar
  24. Gallup Poll. (1988). Omnibus, III.Google Scholar
  25. Greenberg, J., & Pyszczynski, T. (1986). Persistent high self-focus after failure and low self-focus after success: The depressive self-focusing style. Journal of Personality and Social Psychology, 50(5), 1039–1044. doi: 10.1037/0022-3514.50.5.1039.CrossRefGoogle Scholar
  26. Gross, J. J., Carstensen, L. L., Pasupathi, M., Tsai, J., Goetestam Skorpen, C., & Hsu, A. Y. C. (1997). Emotion and aging: Experience, expression, and control. Psychology and Aging, 12(4), 590–599. doi: 10.1037/0882-7974.12.4.590.CrossRefGoogle Scholar
  27. Hamer, D. H. (1996). The heritability of happiness. Nature Genetics, 14(2), 125–126. doi: 10.1038/ng1096-125.CrossRefGoogle Scholar
  28. Han, S. (1988). The relationship between life satisfaction and flow in elderly Korean immigrants. In M. Csikszentmihalyi & I. S. Csikszentmihalyi (Eds.), Optimal experience: Psychological studies of flow in consciousness (pp. 138–149). New York, NY: Cambridge University Press.Google Scholar
  29. Headey, B., & Wearing, A. (1989). Personality, life events, and subjective well-being: Toward a dynamic equilibrium model. Journal of Personality and Social Psychology, 57(4), 731–739. doi: 10.1037/0022-3514.57.4.731.CrossRefGoogle Scholar
  30. Hendricks, J., & Hendricks, C. D. (1986). Aging in mass society: Myths and realities. Boston: Little Brown.Google Scholar
  31. Ingram, R. E. (1990). Self-focused attention in clinical disorders: Review and a conceptual model. Psychological Bulletin, 107, 156–176. doi: 10.1037/0033-2909.107.2.156.CrossRefGoogle Scholar
  32. Isaacowitz, D., & Smith, J. (2003). Positive and negative affect in very old age. Journal of Gerontology: Psychological Sciences, 58B(3), P143–P152.Google Scholar
  33. Kahneman, D., Krueger, A. B., Schkade, D. A., Schwarz, N., & Stone, A. A. (2004). A survey method for characterizing daily life experience: The day reconstruction method. Science, 306, 1776–1780. doi: 10.1126/science.1103572.CrossRefGoogle Scholar
  34. Kim, J. E., & Moen, P. (2002). Retirement transitions, gender, and psychological well-being: A life-course, ecological model. Journal of Gerontology, 57(3), 212–222.Google Scholar
  35. Kunzmann, U., Little, T. D., & Smith, J. (2000). Is age-related stability of subjective well being a paradox? Cross-sectional and longitudinal evidence from the Berlin aging study. Psychology and Aging, 15(3), 511–526. doi: 10.1037/0882-7974.15.3.511.CrossRefGoogle Scholar
  36. Labouvie-Vief, G., Hakim-Larson, J., DeVoe, M., & Schoeberlein, S. (1989). Emotions and self-regulation: A life span view. Human Development, 32(5), 279–299.CrossRefGoogle Scholar
  37. Lawton, M. P. (1989). Environmental proactivity and affect in older people. In S. Spacapan & S. Oskamp (Eds.), The social psychology of aging. Claremont symposium on applied social psychology (pp. 135–163). Thousand Oaks, CA: Sage.Google Scholar
  38. Lawton, M. P., DeVoe, M. R., & Parmelee, P. (1995). Relationship of events and affect in the daily life of an elderly population. Psychology and Aging, 10(3), 469–477. doi: 10.1037/0882-7974.10.3.469.CrossRefGoogle Scholar
  39. Lucas, R. E., Clark, A. E., Georgellis, Y., & Diener, E. (2003). Reexamining adaptation and the set point model of subjective well-being: Reactions to changes in marital status. Journal of Personality and Social Psychology, 84(3), 527–539. doi: 10.1037/0022-3514.84.3.527.CrossRefGoogle Scholar
  40. Mroczek, D. K., & Kolarz, C. M. (1998). The effect of age on positive and negative affect: A developmental perspective on subjective well-being. Journal of Personality and Social Psychology, 75(5), 1333–1349. doi: 10.1037/0022-3514.75.5.1333.CrossRefGoogle Scholar
  41. Norris, W. N. (1999). The mood system. In D. Kahneman, E. Diener, & N. Schwarz (Eds.), Well-being: The foundations of hedonic psychology (pp. 169–189). New York: Russell Sage.Google Scholar
  42. Pavot, W., & Diener, E. (2004). The subjective evaluation of well-being in adulthood: Findings and implications. Ageing International, 29(2), 113–135. doi: 10.1007/s12126-004-1013-4.CrossRefGoogle Scholar
  43. Pavot, W., Diener, E., Colvin, C. R., & Sandvik, E. (1991). Further validation of the Satisfaction with Life Scale: Evidence for the cross-method convergence of well-being measures. Journal of Personality Assessment, 57(1), 149–161. doi: 10.1207/s15327752jpa5701_17.CrossRefGoogle Scholar
  44. Pinquart, M., & Schindler, I. (2007). Changes of life satisfaction in the transition to retirement: A latent class approach. Psychology and Aging, 22(3), 442–455. doi: 10.1037/0882-7974.22.3.442.CrossRefGoogle Scholar
  45. Pressman, S. D., & Cohen, S. (2005). Does positive affect influence health? Psychological Bulletin, 131(6), 925–971. doi: 10.1037/0033-2909.131.6.925.CrossRefGoogle Scholar
  46. Raudenbush, S., & Bryk, A. (2002). Hierarchical linear models: Applications and data analysis methods. Thousand Oaks, CA: Sage.Google Scholar
  47. Rowe, J. W., & Kahn, R. L. (1997). Successful aging. The Gerontologist, 37(4), 433–440.Google Scholar
  48. Ryan, R. M., & Deci, E. L. (2001). On happiness and human potentials: A review of research on hedonic and eudaimonic well-being. Annual Review of Psychology, 52, 141–166. doi: 10.1146/annurev.psych.52.1.141.CrossRefGoogle Scholar
  49. Ryff, C. D. (1989). In the eye of the beholder: Views of psychological well-being among middle-aged and older adults. Psychology and Aging, 4(2), 195–210. doi: 10.1037/0882-7974.4.2.195.CrossRefGoogle Scholar
  50. Ryff, C. D., Dienberg Love, G., Urry, H. L., Muller, D., Rosenkranz, M. A., Friedman, E. M., et al. (2006). Psychological well-being and ill-being: Do they have distinct or mirrored biological correlates? Psychotherapy and Psychosomatics, 75(2), 85–95. doi: 10.1159/000090892.CrossRefGoogle Scholar
  51. Salovey, P., Rothman, A. J., Detweiler, J. B., & Steward, W. T. (2000). Emotional states and physical health. The American Psychologist, 55(1), 110–121. doi: 10.1037/0003-066X.55.1.110.CrossRefGoogle Scholar
  52. Smith, D. (2003). The older population in the United States: March 2002. U.S. Census Bureau Current Population Reports, P20-546. Washington, DC.Google Scholar
  53. Snijders, T., & Bosker, R. (1999). Multilevel analysis. London: Sage.Google Scholar
  54. Spybrook, J., Raudenbush, S. W., Liu, X., & Congdon, R. (2006). Optimal design for longitudinal and multilevel research: Documentation for the “Optimal Design” software.
  55. Stacey, C. A., & Gatz, M. (1991). Cross-sectional age differences and longitudinal change on the Bradburn Affect Balance Scale. Journal of Gerontology, 46, 76–78.Google Scholar
  56. Voelkl, J. E. (1990). The challenge skill ratio of daily experiences among older adults residing in nursing homes. Therapeutic Recreation Journal, 24(2), 7–17.Google Scholar
  57. Voelkl, J., & Ellis, G. (1998). Measuring flow experiences in daily life: An examination of the items used to measure challenge and skill. Journal of Leisure Research, 30(3), 380–389.Google Scholar
  58. Wang, M. (2007). Profiling retirees in the retirement transition and adjustment process: Examining the longitudinal change patterns of retirees’ psychological well-being. The Journal of Applied Psychology, 92(2), 455–474. doi: 10.1037/0021-9010.92.2.455.CrossRefGoogle Scholar
  59. Wells, A. J. (1988). Self-esteem and optimal experience. In M. Csikszentmihalyi & I. Csikszentmihalyi (Eds.), Optimal experience: Psychological studies of flow in consciousness (pp. 327–341). Cambridge, England: Cambridge University Press.Google Scholar
  60. Witt, P., & Ellis, G. (1987). The leisure diagnostic battery users manual. State College, PA: Venture Publishing.Google Scholar
  61. World Values Study Group. (1994). World values survey, 1981–1984 and 1990–1993. Ann Arbor, MI: Institute for Social Research, University of Michigan.Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2008

Authors and Affiliations

  • Amy Love Collins
    • 1
    Email author
  • Natalia Sarkisian
    • 2
  • Ellen Winner
    • 2
  1. 1.Office of Population ResearchPrinceton UniversityPrincetonUSA
  2. 2.Boston CollegeChestnut Hill, BostonUSA

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