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The role of sex and family variables in burnout

Abstract

Two survey studies were conducted to assess the relationship of demographic variables to the experience of job burnout. Contrary to earlier hypotheses that women are more vulnerable to this form of job stress, the results show that women do slightly better than men. However, this difference is rather small, which suggests that the sex of the employee is not a major factor in burnout. Other results show that employees who were married or who had children experienced less burnout. Job category was also an important predictor. The findings are discussed in terms of sex-role socialization, sex-typed occupations, and social support systems.

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References

  • Caplan, G., & Killilea, M. (Ed.). Support systems and mutual help. New York: Grune & Stratton, 1976.

    Google Scholar 

  • Cobb, S. Social support as a moderator of life stress. Psychosomatic Medicine 1976, 38 300–314.

    Google Scholar 

  • Haw, M. A. Women, work and stress: A review and agenda for the future. Journal of Health and Social Behavior 1982, 23 132–144.

    Google Scholar 

  • House, J. S. Work stress and social support. Reading, Mass.: Addison-Wesley, 1981.

    Google Scholar 

  • Jackson, S. E., & Maslach, C. After-effects of job-related stress: Families as victims. Journal of Occupational Behaviour 1982, 3 63–77.

    Google Scholar 

  • Kerlinger, F., & Pedhazur, E. Multiple regression in behavioral research. New York: Holt, 1973.

    Google Scholar 

  • Lerner, M. J. The belief in a just world: A fundamental delusion. New York: Plenum, 1980.

    Google Scholar 

  • Levine, G. I quit!: A guide to burnout prevention. Orange, Calif.: Indeco, 1981.

    Google Scholar 

  • Maslach, C. Burnout: The cost of caring. Englewood Cliffs, N.J.: Prentice-Hall, 1982.

    Google Scholar 

  • Maslach, C., & Jackson, S. E. The Maslach Burnout Inventory. Research edition. Palo Alto: Consulting Psychologists Press, 1981. (a)

    Google Scholar 

  • Maslach, C., & Jackson, S. E. The measurement of experienced burnout. Journal of Occupational Behaviour 1981, 2 99–113. (b)

    Google Scholar 

  • Maslach, C., & Jackson, S. E. Burnout in health professions: A social psychological analysis. In G. Sanders & J. Suls (Eds.), Social psychology of health and illness. Hillsdale, N.J.: Erlbaum, 1982. Pp. 227–251.

    Google Scholar 

  • Maslach, C., & Jackson, S. E. Patterns of burnout among a national sample of public contact workers. Journal of Health and Human Resources Administration 1984, 7 189–212.

    Google Scholar 

  • Pines, A. M., Aronson, E., & Kafry, D. Burnout: From tedium to personal growth. New York: Free Press, 1981.

    Google Scholar 

  • Ryan, W. Blaming the victim. New York: Pantheon, 1971.

    Google Scholar 

  • Ryerson, D., & Marks, N. Career burnout in the human services: Strategies for intervention. In J. W. Jones (Ed.), The burnout syndrome. Park Ridge, Ill.: London House Press, 1981. Pp. 151–164.

    Google Scholar 

  • Schwab, R. L., & Iwanicki, E. F. Who are our burned out teachers? Educational Research Quarterly 1982, 7(2), 5–16.

    Google Scholar 

  • Wills, T. A. Perceptions of clients by professional helpers. Psychological Bulletin 1978, 85 968–1000.

    Google Scholar 

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The research described in this article was supported by a Ford Foundation grant to the Center for the Study, Education and Advancement of Women, University of California, Berkeley; and by Biomedical Sciences Support Grant 3-SO5-RR-07006-08S1.

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Maslach, C., Jackson, S.E. The role of sex and family variables in burnout. Sex Roles 12, 837–851 (1985). https://doi.org/10.1007/BF00287876

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  • DOI: https://doi.org/10.1007/BF00287876

Keywords

  • Social Support
  • Social Psychology
  • Support System
  • Demographic Variable
  • Important Predictor