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Quality of Life Research

Erschienen in:

01.06.2010

The SF-36 component summary scales and the daytime diurnal cortisol profile

verfasst von: Gareth Edward Hagger-Johnson, Martha C. Whiteman, Andrew J. Wawrzyniak, Warren G. Holroyd

Erschienen in: Quality of Life Research | Ausgabe 5/2010

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Abstract

Purpose

Higher daytime cortisol output has been associated with higher levels of perceived stress and worse mental and physical health outcomes. Hypothalamic–pituitary–adrenal (HPA) axis dysregulation, such as elevated secretion of daytime cortisol, occurs in many mental and physical illnesses. However, the nature of the association between functional health status and daytime cortisol production has not been established.

Methods

Healthy adult volunteers (n = 68, 45 females) provided saliva samples 3, 6, 9 and 12 h after waking, for two consecutive days, in everyday settings. Bivariate correlations between log salivary cortisol concentrations were calculated, and the SF-36 component summary scores were calculated. Latent growth curve modeling was used to model the daytime profile and adjust for covariates (age, sex and waking time).

Results

Higher PCS scores were not associated with cortisol three hours after waking (cortisol intercept), or the diurnal decline (cortisol slope). Higher MCS scores were correlated with faster cortisol decline across the day (r = −.31, P < .01) but not with cortisol intercepts. In a latent growth curve model adjusting for age, sex and waking time, the association was no longer statistically significant.

Conclusions

Large scale epidemiological studies involving salivary cortisol would benefit from measuring SF-36 component summary scores. Cortisol intercepts and slopes may be differentially related to the PCS and MCS, although greater statistical power is needed to test this hypothesis more fully. Associations between daytime cortisol and the PCS or MCS could reflect the regulatory competence of bodily systems, common causes or unmeasured confounding factors.

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van Praag, H. M., de Kloet, E. R., & van Os, J. (2004). Stress the brain and depression. Cambridge: Cambridge University Press.CrossRef

Edwards, S., Evans, P., Hucklebridge, F., & Clow, A. (2001). Association between time of awakening and diurnal cortisol secretory activity. Psychoneuroendocrinology, 26(6), 613–622.CrossRefPubMed

Edwards, S., Clow, A., Evans, P., & Hucklebridge, F. (2001). Exploration of the awakening cortisol response in relation to diurnal cortisol secretory activity. Life Sciences, 68(18), 2093–2103.CrossRefPubMed

Bower, J., Ganz, P., Dickerson, S., Petersen, L., Aziz, N., & Fahey, J. (2005). Diurnal cortisol rhythm and fatigue in breast cancer survivors. Psychoneuroendocrinology, 30(1), 92–100.CrossRefPubMed

Lindeberg, S., Eek, F., Lindbladh, E., Östergren, P. O., Hansen, Å. M., & Karlson, B. (2008). Exhaustion measured by the SF-36 vitality scale is associated with a flattened diurnal cortisol profile. Psychoneuroendocrinology, 33(4), 471–477.CrossRefPubMed

Nicolson, N. A., & Van Diest, R. (2000). Salivary cortisol patterns in vital exhaustion. Journal of Psychosomatic Research, 49(5), 335–342.CrossRefPubMed

Sjoumlgren, E., Leanderson, P., & Kristenson, M. (2006). Diurnal saliva cortisol levels and relations to psychosocial factors in a population sample of middle-aged Swedish men and women. International Journal of Behavioral Medicine, 13(3), 193–200.CrossRef

McEwan, B. S. (1998). Stress, adaptation, and disease: Allostasis and allostatic load. Annals of the New York Academy of Sciences, 840(1), 33–44.CrossRef

McEwen, B. S. (2000). Allostasis and allostatic load: Implications for neuropsychopharmacology. Neuropsychopharmacology, 22(2), 108–124.CrossRefPubMed

10.

Sephton, S. E., Sapolsky, R. M., Kraemer, H. C., & Spiegel, D. (2000). Diurnal cortisol rhythm as a predictor of breast cancer survival. Journal of the National Cancer Institute, 92(12), 994–1000.CrossRefPubMed

11.

Sephton, S., & Spiegel, D. (2003). Circadian disruption in cancer: A neuroendocrine-immune pathway from stress to disease? Brain, Behavior and Immunity, 17(5), 321–328.CrossRef

12.

Spiegel, D., & Sephton, S. E. (2001). Psychoneuroimmune and endocrine pathways in cancer: Effects of stress and support. Seminars in Clinical Neuropsychiatry, 6(4), 252–265.CrossRefPubMed

13.

Clow, A., Thorn, L., Evans, P., & Hucklebridge, F. (2004). The awakening cortisol response: Methodological issues and significance. Stress, 7(1), 29–37.CrossRefPubMed

14.

Wust, S., Federenko, I., Hellhammer, D., & Kirschbaum, C. (2000). Genetic factors, perceived chronic stress, and the free cortisol response to awakening. Psychoneuroendocrinology, 25(7), 707–720.CrossRefPubMed

15.

Kaye, J. M., & Lightman, S. L. (2005). Psychological stress and endocrine axes. In K. Vedhara & M. Irwin (Eds.), Human psychoneuroimmunology (pp. 25–52). Oxford: Oxford University Press.

16.

Kudielka, B. M., Hellhammer, D. H., & Wüst, S. (2009). Why do we respond so differently? Reviewing determinants of human salivary cortisol responses to challenge. Psychoneuroendocrinology, 34(1), 2–18.CrossRefPubMed

17.

Epel, E. S. (2009). Psychological and metabolic stress: A recipe for accelerated cellular aging? Hormones, 8(1), 7–22.PubMed

18.

Ware, J. E., Snow, K. K., Kosisnki, M., & Gandek, B. (1993). SF-36 health survey manual and interpretation guide. Boston, MA: The Health Institute.

19.

Ware, J. E., Kosinski, M., & Keller, S. K. (1994). SF-36 ^® physical and mental health summary scales: A user’s manual. Boston, MA: The Health Institute.

20.

Uhart, M., Chong, R. Y., Oswald, L., Lin, P.-I., & Wand, G. S. (2006). Gender differences in hypothalamic-pituitary-adrenal (HPA) axis reactivity. Psychoneuroendocrinology, 31(5), 642–652.CrossRefPubMed

21.

Edwards, S., Hucklebridge, F., Clow, A., & Evans, P. (2003). Components of the diurnal cortisol cycle in relation to upper respiratory symptoms and perceived stress. Psychosomatic Medicine, 65(2), 320–327.CrossRefPubMed

22.

Jenkinson, C., Layte, R., Wright, L., & Coulter, A. (1996). The U.K. SF-36: An analysis and interpretation manual. A guide to health status measurement with particular reference to the short form 36 health survey. Oxford: Health Services Research Unit, University of Oxford.

23.

Cohen, S., Kamarck, T., & Mermelstein, R. (1983). A global measure of perceived stress. Journal of Health and Social Behavior, 24(4), 385–396.CrossRefPubMed

24.

Kirschbaum, C., & Hellhammer, D. (1994). Salivary cortisol in psychoneuroendocrine research: Recent developments and applications. Psychoneuroendocrinology, 19(4), 313–333.CrossRefPubMed

25.

Jemmott, J. (1987). Social motives and susceptibility to disease: Stalking individual differences in health risks. Journal of Personality, 55(2), 267–298.CrossRefPubMed

26.

Cohen, S., & Williams, G. S. (1993). Perceived stress in a probability sample of the US. In S. Spacapan & S. Oskamp (Eds.), The social psychology of health. Newbury Park, CA: SAGE.

27.

Mikolajczyk, R., Maxwell, A., Naydenova, V., Meier, S., & El Ansari, W. (2008). Depressive symptoms and perceived burdens related to being a student: Survey in three European countries. Clinical Practice and Epidemiology in Mental Health, 4(1), 19.CrossRefPubMed

28.

Allgower, A., Wardle, J., & Steptoe, A. (2001). Depressive symptoms, social support, and personal health behaviors in young men and women. Health Psychology, 20(3), 223–227.CrossRefPubMed

29.

Bollen, K., & Curran, P. (2005). Latent curve models: A structural equation perspective. Hoboken, NJ: Wiley-Interscience.

30.

Hruschka, D., Kohrt, B., & Worthman, C. (2005). Estimating between- and within-individual variation in cortisol levels using multilevel models. Psychoneuroendocrinology, 30(7), 698–714.CrossRefPubMed

31.

Rogosa, D., & Saner, H. (1995). Longitudinal data analysis examples with random coefficient models. Journal of Educational and Behavioral Statistics, 20(2), 149–170.

32.

Curran, P. J. (2003). Have multilevel models been structural equation models all along? Multivariate Behavioral Research, 38(4), 529–569.CrossRef

33.

Muthén, L. K., & Muthén, B. O. (1998–2007). Mplus user’s guide, 5th Edn. Los Angeles, CA: Muthén & Muthén.

34.

Hu, L., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424–453.CrossRef

35.

Kramer, S. H., & Rosenthal, R. (1999). Effect sizes and significance levels in small-sample research. In R. H. Hoyle (Ed.), Statistical strategies for small sample research (pp. 60–79). Thousand Oaks, CA: SAGE.

36.

Harris, A., Ursin, H., Murison, R., & Eriksen, H. R. (2007). Coffee, stress and cortisol in nursing staff. Psychoneuroendocrinology, 32(4), 322–330.CrossRefPubMed

37.

Kumari, M., Badrick, E., Chandola, T., Adam, E. K., Stafford, M., Marmot, M. G., et al. (2009). Cortisol secretion and fatigue: Associations in a community based cohort. Psychoneuroendocrinology, 34(10), 1476–1485.CrossRefPubMed

38.

Hellhammer, D., Wust, S., & Kudielka, B. (2009). Salivary cortisol as a biomarker in stress research. Psychoneuroendocrinology, 34(2), 163–171.CrossRefPubMed

39.

Vreeburg, S. A., Hoogendijk, W. J. G., van Pelt, J., DeRijk, R. H., Verhagen, J. C. M., van Dyck, R., et al. (2009). Major depressive disorder and hypothalamic-pituitary-adrenal axis activity: Results from a large cohort study. Archives of General Psychiatry, 66(6), 617–626.CrossRefPubMed

40.

Oswald, L. M., Zandi, P., Nestadt, G., Potash, J. B., Kalaydjian, A. E., & Wand, G. S. (2006). Relationship between cortisol responses to stress and personality. Neuropsychopharmacology, 31(7), 1583–1591.CrossRefPubMed

41.

Adam, E. K., & Kumari, M. (2009). Assessing salivary cortisol in large-scale, epidemiological research. Psychoneuroendocrinology, 34(10), 1423–1436.CrossRefPubMed

42.

Maddox, G. L., & Douglass, E. B. (1973). Self-assessment of health: A longitudinal study of elderly subjects. Journal of Health and Social Behavior, 14(1), 87–93.CrossRefPubMed

Titel: The SF-36 component summary scales and the daytime diurnal cortisol profile
verfasst von: Gareth Edward Hagger-Johnson
Martha C. Whiteman
Andrew J. Wawrzyniak
Warren G. Holroyd
Publikationsdatum: 01.06.2010
Verlag: Springer Netherlands
Erschienen in: Quality of Life Research / Ausgabe 5/2010
Print ISSN: 0962-9343
Elektronische ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-010-9626-4

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Abstract

Purpose

Methods

Results

Conclusions

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