Abstract
Purpose
To examine the relationship of character strengths and quality of life (QOL) in persons with multiple sclerosis (MS). Specifically, this study examined the relationship of the 24 character strengths in Peterson and Seligman’s model with QOL and three negative effects of MS (disability, fatigue, and depression). It also investigated whether the three negative effects of MS mediate the relationship of each of the character strengths and QOL.
Methods
Six hundred and twenty-four individuals with MS completed an online survey measuring character strengths, QOL, as measured by the Leeds Multiple Sclerosis Quality of Life Scale, disability, fatigue, and depression. SPSS was used to complete the correlational analysis, and Hayes’ PROCESS macro for SPSS was used to conduct the mediation analyses.
Results
The strengths endorsed most frequently by the participants were honesty, kindness, and fairness. The least-endorsed strengths were self-regulation, zest, and spirituality. The strengths with the strongest association with QOL were zest, hope, and gratitude. Disability was not found to mediate any of the relationships between character strengths and QOL. Many of the character strengths were associated with QOL both directly and indirectly through fatigue and depression.
Conclusions
Many of the character strengths in the Peterson and Seligman model enhance QOL in persons with MS, both directly and through their influence on negative effects of MS. The results provide support for the development of character strengths interventions to impact QOL, both directly and indirectly through improvements to MS-related symptoms such as fatigue and depression.
Similar content being viewed by others
References
Compston, A. (2005). McAlpine’s multiple sclerosis. Philadelphia: Churchill Livingstone Elsevier.
Goverover, Y., Genova, H.M., DeLuca, J., & Chiaravalloti, N.D. (2016). Impact of multiple sclerosis on daily life. In Changes in the Brain: Impact on Daily Life (pp. 145–165). New York: Springer.
Wallin, M. T., Culpepper, W. J., Campbell, J. D., Nelson, L. M., Langer-Gould, A., Marrie, R. A., et al. (2019). The prevalence of MS in the United States: A population-based estimate using health claims data. Neurology,92(10), e1029–e1040.
Kargarfard, M., Eetemadifar, M., Mehrabi, M., Maghzi, A. H., & Hayatbakhsh, M. R. (2012). Fatigue, depression, and health-related quality of life in patients with multiple sclerosis in Isfahan, Iran. European Journal of Neurology,19(3), 431–437.
Berrigan, L. I., Fisk, J. D., Patten, S. B., Tremlett, H., Wolfson, C., Warren, S., et al. (2016). Health-related quality of life in multiple sclerosis: Direct and indirect effects of comorbidity. Neurology,86(15), 1417–1424.
Yamout, B., Issa, Z., Herlopian, A., El Bejjani, M., Khalifa, A., Ghadieh, A. S., et al. (2013). Predictors of quality of life among multiple sclerosis patients: A comprehensive analysis. European Journal of Neurology,20(5), 756–764.
Chruzander, C., Johansson, S., Gottberg, K., Einarsson, U., Fredrikson, S., Holmqvist, L. W., et al. (2013). A 10-year follow-up of a population-based study of people with multiple sclerosis in Stockholm, Sweden: Changes in disability and the value of different factors in predicting disability and mortality. Journal of the Neurological Sciences,332(1–2), 121–127.
Fruehwald, S., Loeffler-Stastka, H., Eher, R., Saletu, B., & Baumhackl, U. (2001). Relationship between symptoms of depression and anxiety and the quality of life in multiple sclerosis. Wiener Klinische Wochenschrift,113(9), 333–338.
Nourbakhsh, B., Julian, L., & Waubant, E. (2016). Fatigue and depression predict quality of life in patients with early multiple sclerosis: A longitudinal study. European Journal of Neurology,23(9), 1482–1486.
Amato, M. P., Ponziani, G., Rossi, F., Liedl, C. L., Stefanile, C., & Rossi, L. (2001). Quality of life in multiple sclerosis: The impact of depression, fatigue and disability. Multiple Sclerosis,7, 340–344.
Benito-León, J., Mitchell, A. J., Rivera-Navarro, J., & Morales-González, J. M. (2013). Impaired health-related quality of life predicts progression of disability in multiple sclerosis. European Journal of Neurology,20(1), 79–86.
Hyarat, S., Subih, M., Rayan, A., Salami, I., & Harb, A. (2019). Health related quality of life among patients with multiple sclerosis: The role of psychosocial adjustment to illness. Archives of Psychiatric Nursing,33(1), 11–16.
Peterson, C., & Seligman, M.E.P. (2004). Character strengths and virtues: A classification and handbook. New York: Oxford University Press/Washington, DC: American Psychological Association.
Park, N. S., Peterson, C., & Seligman, M. E. P. (2006). Character strengths in fifty-four nations and the fifty US states. The Journal of Positive Psychology,1(3), 118–129.
Park, N. S., Peterson, C., & Seligman, M. E. P. (2004). Strengths of character and well-being. Journal of Social and Clinical Psychology,23, 603–619.
Peterson, C., Park, N. S., & Seligman, M. E. P. (2006). Greater strengths of character and recovery from illness. Journal of Positive Psychology,1(1), 17–26.
Hanks, R. A., Rapport, L. J., Waldron-Perrine, B., & Millis, S. R. (2014). Role of character strengths in outcome after mild complicated to severe traumatic brain injury: A positive psychology study. Archives of Physical Medicine and Rehabilitation,95(11), 2096–2102.
Nery-Hurwit, M., Yun, J., & Ebbeck, V. (2018). Examining the roles of self-compassion and resilience on health-related quality of life for individuals with Multiple Sclerosis. Disability and Health Journal,11(2), 256–261.
Ratsep, T., Kallasmaa, T., Pulver, A., & Gross-Paju, K. (2000). Personality as a predictor of coping efforts in patients with multiple sclerosis. Multiple Sclerosis,6, 397–402.
Stathopoulou, A., Christopoulos, P., Soubasi, E., & Gourzis, P. (2010). Personality characteristics and disorders in multiple sclerosis patients: Assessment and treatment. International Review of Psychiatry,22(1), 43–54.
Ford, H. L., Gerry, E., Tennant, A., Whalley, D., Haigh, R., & Johnson, M. H. (2001). Developing a disease-specific quality of life measure for people with multiple sclerosis. Clinical Rehabilitation,5(3), 247–258.
Hohol, M. J., Orav, E. J., & Weiner, H. L. (1995). Disease Steps in multiple sclerosis: A simple approach to evaluate disease progression. Neurology,45, 251–255.
Fisk, J. D., Ritvo, P. G., Ross, L., Haase, D. A., Marrie, T. J., & Schlech, W. F. (1994). Measuring the functional impact of fatigue: Initial validation of the fatigue impact scale. Clinical Infectious Diseases, 18(Supplement_1), S79–S83.
Kroenke, K., Spitzer, R. L., & Williams, J. B. (2001). The PHQ-9: Validity of a brief depression severity measure. Journal of General Internal Medicine,16(9), 606–613.
Tabachink, B. G., & Fidell, L. S. (2001). Using multivariate statistics (3rd ed.). Boston: Allyn and Bacon.
Hayes, A. F. (2012). PROCESS: A versatile computational tool for observed variable mediation, moderation, and conditional process modeling [White paper]. Retrieved from http://www.afhayes.com/public/process2012.pdf
Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society: Series B (Methodological),57(1), 289–300.
Proyer, R. T., Ruch, W., & Buschor, C. (2013). Testing strengths-based interventions: A preliminary study on the effectiveness of a program targeting curiosity, gratitude, hope, humor, and zest for enhancing life satisfaction. Journal of Happiness Studies: An Interdisciplinary Forum on Subjective Well-Being,14(1), 275–292.
Seligman, M. E. P., Steen, T. A., Park, N., & Peterson, C. (2005). Positive psychology progress: Empirical validation of interventions. American Psychologist,60, 410–421.
Quinlan, D., Swain, N., & Vella-Brodrick, D. (2012). Character strengths interventions: Building on what we know for improved outcomes. Journal of Happiness Studies,13(6), 1145–1163.
Rust, T., Diessner, R., & Reade, L. (2009). Strengths only or strengths and relative weaknesses? A preliminary study. The Journal of Psychology: Interdisciplinary and Applied,143(5), 465–476.
Minhas, G. (2010). Developing realised and unrealised strengths: Implications for engagement, self-esteem, life satisfaction and well-being. Assessment and Development Matters,2, 12–16.
Langer-Gould, A., Brara, S. M., Beaber, B. E., & Zhang, J. L. (2013). Incidence of multiple sclerosis in multiple racial and ethnic groups. Neurology,80(19), 1734–1739.
Antonak, R. F., & Livneh, H. (1995). Direct and indirect methods to measure attitudes toward persons with disabilities, with an exegesis of the error-choice test method. Rehabilitation Psychology,40, 3–24.
Funding
This study was funded by the National Multiple Sclerosis Society (Grant Number PP-1803-30549)
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The author declares that she has no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Appendix
Appendix
Appreciation of beauty
The mediating role of fatigue (− .08 [− .14, − .03]) in the relationship between appreciation of beauty and QOL was confirmed. Given that the 95% CI does not include zero, the indirect effect is significant (P < .05). The indirect effects of disability (.00 [− .02, .00]) and depression (− .07 [− .15, .01]) were not significant. The direct effect of appreciation of beauty on QOL (c’) was no longer significant after controlling for the indirect effects (− .01 [− .14, .11]). These findings suggest the relationship between appreciation of beauty and QOL can be explained by fatigue.
Curiosity
The mediating roles of fatigue (.16 [.10, .24]) and depression (.25 [.16, .34]) in the relationship between curiosity and QOL were confirmed. The indirect effect of disability (.00 [− .02, .03]) was not significant. The direct effect of curiosity on QOL (c’) remained significant after controlling for the indirect effects (.17 [.04, .31]). These findings suggest the relationship between curiosity and QOL can be partially explained by fatigue and depression.
Forgiveness
The mediating role of depression (.12 [.05, .21]) in the relationship between forgiveness and QOL was confirmed. The indirect effects of disability (− .01 [− .04, .01]) and fatigue (.01 [− .04, .06]) were not significant. The direct effect of forgiveness on QOL (c’) remained significant after controlling for the indirect effects (.31 [.19, .43]). These findings suggest the relationship between forgiveness and QOL can be partially explained by fatigue and depression.
Gratitude
The mediating role of depression (.17 [.09, .26]) in the relationship between gratitude and QOL was confirmed. The indirect effects of disability (.00 [− .01, .01]) and fatigue (.05 [− .01, .11]) were not significant. The direct effect of curiosity on QOL (c’) remained significant after controlling for the indirect effects (.52 [.39, .65]). These findings suggest the relationship between gratitude and QOL can be partially explained by fatigue and depression.
Honesty
The mediating role of fatigue (.12 [.05, .21]) and depression (.22 [.10, .34]) in the relationship between honesty and QOL was confirmed. The indirect effect of disability (.00 [− .02, .01]) was not significant. The direct effect of honesty on QOL (c’) remained significant after controlling for the indirect effects (.22 [.04, .40]). These findings suggest the relationship between honesty and QOL can be partially explained by fatigue and depression.
Hope
The mediating role of fatigue (.17 [.11, .24]) and depression (.34 [.25, .43]) in the relationship between hope and QOL was confirmed. The indirect effect of disability (.00 [.00, .02]) was not significant. The direct effect of hope on QOL (c’) remained significant after controlling for the indirect effects (.55 [.42, .68]). These findings suggest the relationship between hope and QOL can be partially explained by fatigue and depression.
Judgment
The mediating role of fatigue (.09 [.03, .17]) and depression (.16 [.06, .27]) in the relationship between judgment and QOL was confirmed. The indirect effect of disability (.00 [− .01, .03]) was not significant. The direct effect of judgment on QOL (c’) was no longer significant after controlling for the indirect effects (− .04 [− .18, .09]). These findings suggest the relationship between judgment and QOL can be explained by fatigue and depression.
Leadership
The mediating role of fatigue (.08 [.03, .15]) and depression (.09 [.00, .19]) in the relationship between leadership and QOL was confirmed. The indirect effect of disability (.00 [.00, .01]) was not significant. The direct effect of leadership on QOL (c’) remained significant after controlling for the indirect effects (.16 [.02, .30]). These findings suggest the relationship between leadership and QOL can be partially explained by fatigue and depression.
Love
The mediating role of fatigue (.08 [.02, .14]) and depression (.20 [.11, .30]) in the relationship between love and QOL was confirmed. The indirect effect of disability (.00 [− .01, .01]) was not significant. The direct effect of love on QOL (c’) remained significant after controlling for the indirect effects (.37 [.24, .51]). These findings suggest the relationship between love and QOL can be partially explained by fatigue and depression.
Love of learning
The mediating role of fatigue (.06 [.02, .12]) and depression (.14 [.07, .22]) in the relationship between love of learning and QOL was confirmed. The indirect effect of disability (.00 [− .01, .00]) was not significant. The direct effect of love of learning on QOL (c’) was no longer significant after controlling for the indirect effects (.01 [− .09, .11]). These findings suggest the relationship between love of learning and QOL can be explained by fatigue and depression.
Perseverance
The mediating role of fatigue (.19 [.12, .27]) and depression (.26 [.18, .35]) in the relationship between perseverance and QOL was confirmed. The indirect effect of disability (.00 [− .01, .03]) was not significant. The direct effect of perseverance on QOL (c’) was no longer significant after controlling for the indirect effects (.01 [− .11, .13]). These findings suggest the relationship between perseverance and QOL can be explained by fatigue and depression.
Self-regulation
The mediating role of fatigue (.10 [.05, .16]) and depression (.20 [.13, .27]) in the relationship between self-regulation and QOL was confirmed. The indirect effect of disability (.00 [− .02, .00]) was not significant. The direct effect of self-regulation on QOL (c’) was no longer significant after controlling for the indirect effects (.05 [− .05, .15]). These findings suggest the relationship between self-regulation and QOL can be explained by fatigue and depression.
Social intelligence
The mediating role of fatigue (.08 [.03, .15]) and depression (.12 [.04, .21]) in the relationship between social intelligence and QOL was confirmed. The indirect effect of disability (.00 [− .01, .00]) was not significant. The direct effect of social intelligence on QOL (c’) remained significant after controlling for the indirect effects (.23 [.09, .36]). These findings suggest the relationship between social intelligence and QOL can be partially explained by fatigue and depression.
Spirituality
The indirect effects of disability (.00 [− .02, .01), fatigue (− .01 [− .04, .02]) and depression (.04 [− .01, .08]) in the relationship between spirituality and QOL were not significant. The direct effect of spirituality on QOL (c’) remained significant after controlling for the indirect effects (.09 [.11, .15]). These findings suggest the relationship between spirituality and QOL cannot be explained by disability, fatigue, and depression.
Teamwork
The indirect effects of disability (.00 [− .01, .00), fatigue (.03 [− .03, .10]) and depression (.07 [− .03, .17]) in the relationship between teamwork and QOL were not significant. The direct effect of teamwork on QOL (c’) remained significant after controlling for the indirect effects (.21 [.07, .36]). These findings suggest the relationship between teamwork and QOL cannot be explained by disability, fatigue, and depression.
Rights and permissions
About this article
Cite this article
Smedema, S.M. An analysis of the relationship of character strengths and quality of life in persons with multiple sclerosis. Qual Life Res 29, 1259–1270 (2020). https://doi.org/10.1007/s11136-019-02397-1
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11136-019-02397-1