Rumination mediates the relationships between depressed mood and both sleep quality and self-reported health in young adults
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The psychological mechanisms by which depressed mood can lead to impaired sleep and poorer overall health remain unclear. The goal of this study was to investigate the extent to which a tendency to ruminate accounts for the associations between depressed mood and both sleep quality and self-reported health in 165 healthy young adults. Self-reported assessments of anxiety, depressed mood, rumination, sleep quality, and general health were collected at two different time points approximately 2 months apart. Structural equation modeling revealed that rumination measured at the earlier time point mediated the relationships between depressed mood and both sleep quality and health, all measured at the later time point, in a model that was a good fit to the data overall, χ2 (50, N = 165) = 103.08, p < 0.001; RMSEA = 0.08 (0.06–0.10), TLI = 0.91, CFI = 0.94. Results were similar whether or not anxiety was controlled. Results indicate that rumination may be a psychological mechanism by which negative mood leads to impaired sleep and poorer perceived health.
KeywordsRumination Anxiety Depressed mood Sleep quality Perceived health
This research was supported in part by a grant from The Pennsylvania State University Social Science Research Institute, Level 1 Funding and by the National Science Foundation under Grant No. DGE1255832. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the National Science Foundation.
Conflict of interest
The authors Danica C. Slavish and Jennifer E. Graham-Engeland declare no conflict of interest.
Human and Animal Rights and Informed Consent
All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2000 (5). Informed consent was obtained from all participants included in the study.
- Bosch, J. A. (2014). The use of saliva markers in psychobiology: Mechanisms and methods. Diagnostics and Disorders, 24, 99–108.Google Scholar
- Buysse, D. J., Hall, M. L., Strollo, P. J., Kamarck, T. W., Owens, J., Lee, L., et al. (2008). Relationships between the Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), and clinical/polysomnographic measures in a community sample. Journal of Clinical Sleep Medicine, 4, 563.PubMedCentralPubMedGoogle Scholar
- Byrne, B. M. (2001). Structural equation modeling with AMOS. Mahwah, NJ: Lawrence Erlbaum.Google Scholar
- Gerin, W., Zawadzki, M. J., Brosschot, J. F., Thayer, J. F., Christenfeld, N. J., Campbell, T. S., & Smyth, J. M. (2012). Rumination as a mediator of chronic stress effects on hypertension: A causal model. International Journal of Hypertension, 2012, 1–9.Google Scholar
- Gottlieb, D. J., Redline, S., Nieto, F. J., Baldwin, C. M., Newman, A. B., Resnick, H. E., et al. (2006). Association of usual sleep duration with hypertension: The sleep heart health study. Sleep Medicine Reviews, 29, 1009.Google Scholar
- Hayduk, L., Cummings, G. G., Boadu, K., Pazderka-Robinson, H., & Boulianne, S. (2007). Testing! Testing! One, two three—Testing the theory in structural equation models. Personality and Individual Differences, 42, 841–850.Google Scholar
- Hooper, D., Coughlan, J., & Mullen, M. (2008). Structural equation modelling: Guidelines for determining model fit. Articles, 2.Google Scholar
- Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York, NY: The Guilford Press.Google Scholar
- Mednick, S. C., Christakis, N. A., & Fowler, J. H. (2010). The spread of sleep loss influences drug use in adolescent social networks. PLoS One, 5, e9775.Google Scholar
- Möller-Levet, C. S., Archer, S. N., Bucca, G., Laing, E. E., Slak, A., Kabiljo, R., et al. (2013). Effects of insufficient sleep on circadian rhythmicity and expression amplitude of the human blood transcriptome. Proceedings of the National Academy of Sciences, 110, E1132–E1141.CrossRefGoogle Scholar
- National Sleep Foundation. (2008). 2008 sleep in America poll. Washington, DC: National Sleep Foundation.Google Scholar
- O’Malley, P. M. (2004). Maturing out of problematic alcohol use. Alcohol Research and Health, 28, 202.Google Scholar
- Spielberger, C. D., Gorsuch, R. L., Lushene, P. R., Vagg, P. R., & Jacobs, G. A. (1983). Manual for the state-trait anxiety inventory (form Y). Redwood City, CA: Mind Garden.Google Scholar
- Steiger, J. H., & Lind, J. C. (1980). Statistically-based tests for the number of common factors. Paper presented at the Psychometric Society, Iowa City, IA.Google Scholar
- Thomsen, D. K., Mehlsen, M. Y., Olesen, F., Hokland, M., Viidik, A., Avlund, K., et al. (2004). Is there an association between rumination and self-reported physical health? A one-year follow-up in a young and an elderly sample. Journal of Behavioral Medicine, 27, 215–231.CrossRefPubMedGoogle Scholar
- West, S. G., Taylor, A. B., & Wu, W. (2012). Model fit and model selection in structural equation modeling. Handbook of structural equation modeling (pp. 209–231). New York, NY: Guilford.Google Scholar