Abstract
Regular and even single sessions of aerobic exercise may benefit emotional health. Experiments show that prior exercise hastens emotional recovery following a stressor despite not changing reports of rumination or other emotion regulation difficulties. We use network analyses to explore whether traditional approaches for conceptualizing and measuring rumination (i.e. sum scores) could be occluding exercise-induced changes to emotion regulation. Participants (n = 226) were randomly assigned to a cycling (n = 113) or stretching control condition (n = 113). They then underwent a stressful speech task, followed by a recovery period. State rumination was measured through self-report. Graphical LASSO and relative importance networks and accompanying strength centrality indices were computed. Similar patterns emerged in both models. Declines in the strength centrality of self-criticism in the cycling group stood out. Exercise may alter the relations between rumination processes and target self-criticism in particular. This perspective offers important information about how exercise enhances well-being through emotion regulation as well as how to intervene on emotion regulation deficits more generally.
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Data are available from the corresponding author on reasonable request.
Notes
As a final exploratory analysis, we employed a novel approach in which condition was included as a dichotomous node within the network (e.g., Blanken et al. 2019; Kraft et al. 2019). Results revealed that condition did not share a statistically significant edge with any rumination node, suggesting that group assignment did not affect the level of any given rumination component. Self-criticism remained the most central node in this updated model. Note that this new analytic approach was developed to examine treatment effects across time, rather than between group differences at single time points as was done in the present paradigm. This approach may be more appropriate for examining the existence and course of longitudinal effects of exercise as an intervention for rumination.
References
Adams, R. (1999). Revised Physical Activity Readiness Questionnaire. Canadian Family Physician Médecin de Famille Canadien,45, 1004–1005.
Bernstein, E. E., Heeren, A., & McNally, R. J. (2017). Unpacking rumination and executive control: A network perspective. Clinical Psychological Science,5, 816–826.
Bernstein, E. E., & McNally, R. J. (2016). Acute aerobic exercise buffers against negative affect. Cognition and Emotion,31, 834–843.
Bernstein, E. E., & McNally, R. J. (2017). Acute aerobic exercise hastens emotional recovery from a subsequent stressor. Health Psychology,36, 560–567.
Bernstein, E. E., & McNally, R. J. (2018). Exercise as a buffer against difficulties with emotion regulation: A pathway to emotional wellbeing. Behaviour Research and Therapy,109, 29–36.
Blanken, T. F., Van Der Zweerde, T., Van Straten, A., Van Someren, E., Borsboom, D., & Lancee, J. (2019). Introducing network intervention analysis to investigate sequential, symptom-specific treatment effects: A demonstration in co-occurring insomnia and depression. Psychotherapy and Psychosomatics,88, 52–54.
Boccaletti, S., Latora, V., Moreno, Y., Chavez, M., & Hwang, D. U. (2006). Complex networks: Structure and dynamics. Physics Reports,424, 175–308.
Borsboom, D., Cramer, A. O. J., Schmittmann, V. D., Epskamp, S., & Waldorp, L. J. (2011). The small world of psychopathology. PLoS ONE,6, e27407.
Costantini, G., Epskamp, S., Borsboom, D., Perugini, M., Mõttus, R., Waldorp, L. J., et al. (2015). State of the aRt personality research: A tutorial on network analysis of personality data in R. Journal of Research in Personality,54, 13–29.
Costenbader, E., & Valente, T. W. (2003). The stability of centrality measures when networks are sampled. Social Networks,25, 283–307.
Epskamp, S., Borsboom, D., & Fried, E. I. (2018). Estimating psychological networks and their accuracy: A tutorial paper. Behavior Research Methods,50, 195–212.
Epskamp, S., Cramer, A. O. J., Waldorp, L. J., Schmittmann, V. D., & Borsboom, D. (2012). qgraph: Network visualizations of relationships in psychometric data. Journal of Statistical Software,48, 1–18.
Epskamp, S., & Fried, E. I. (2018). A tutorial on regularized partial correlation networks. Psychological Methods,23, 617–634.
Flueckiger, L., Lieb, R., Meyer, A. H., Witthauer, C., & Mata, J. (2016). The importance of physical activity and sleep for affect on stressful days: Two intensive longitudinal studies. Emotion,16, 488–497.
Foygel, R., & Drton, M. (2011). Bayesian model choice and information criteria in sparse generalized linear models, pp. 1–37. arXiv:1112.5635.
Freeman, L. C. (1978). Centrality in social networks conceptual clarification. Social Networks,1, 215–239.
Fried, E. I., & Nesse, R. M. (2015). Depression sum-scores don’t add up: Why analyzing specific depression symptoms is essential. BMC Medicine, 13, 72.
Fried, E. I., Nesse, R. M., Zivin, K., Guille, C., & Sen, S. (2014). Depression is more than the sum score of its parts: Individual DSM symptoms have different risk factors. Psychological Medicine, 44(10), 2067–2076.
Friedman, J., Hastie, T., & Tibshirani, R. (2011). glasso: Graphical lasso-estimation of Gaussian graphical models. R package version 1.8.
Fruchterman, T., & Reingold, E. (1991). Graph drawing by force directed placement. Software: Practice and Experience,21, 1129–1164.
Goodwin, R. D. (2003). Association between physical activity and mental disorders among adults in the United States. Preventive Medicine,36, 698–703.
Grömping, U. (2006). Relative importance for linear regression in R: The package relaimpo. Journal of Statistical Software,17, 139–147.
Harvey, S. B., Hotopf, M., Overland, S., & Mykletun, A. (2010). Physical activity and common mental disorders. British Journal of Psychiatry,197, 357–364.
Harvey, S. B., Øverland, S., Hatch, S. L., Wessely, S., Mykletun, A., & Hotopf, M. (2017). Exercise and the prevention of depression: Results of the HUNT Cohort Study. American Journal of Psychiatry,175, 28–36.
Heeren, A., & McNally, R. J. (2016). An integrative network approach to social anxiety disorder: The complex dynamic interplay among attentional bias for threat, attentional control, and symptoms. Journal of Anxiety Disorders,42, 95–104.
Jiang, H., Fei, X., Liu, H., Roeder, K., Lafferty, J., Wasserman, L., et al. (2019). huge: High-dimensional undirected graph estimation. R package version 1.3.2.
Johnson, J. W., & LeBreton, J. M. (2004). History and use of relative importance indices in organizational research. Organizational Research Methods,7, 238–257.
Kirschaum, C., Pirke, K. M., & Hellhammer, D. H. (1993). The “Trier Social Stress Test”—a tool for investigating psychobiological stress responses in a laboratory setting. Neuropsychobiology,28, 76–81.
Kraft, B., Jonassen, R., Heeren, A., Harmer, C., Stiles, T., & Landrø, N. I. (2019). Attention bias modification in remitted depression is associated with increased interest and leads to reduced adverse impact of anxiety symptoms and negative cognition. Clinical Psychological Science,7, 530–544.
LeMoult, J., Arditte, K. A., D’Avanzato, C., & Joormann, J. (2013). State rumination: Associations with emotional stress reactivity and attention biases. Journal of Experimental Psychopathology,4, 471–484.
Lovibond, S. H., & Lovibond, P. F. (1995). Manual for the Depression Anxiety Stress Scales. Psychology Foundation of Australia (Vol. 56).
Mata, J., Hogan, C. L., Joormann, J., Waugh, C. E., & Gotlib, I. H. (2013). Acute exercise attenuates negative affect following repeated sad mood inductions in persons who have recovered from depression. Journal of Abnormal Psychology,122, 45–50.
McLaughlin, K. A., & Nolen-Hoeksema, S. (2011). Rumination as a transdiagnostic factor in depression and anxiety. Behaviour Research and Therapy,49, 186–193.
McNally, R. J. (2016). Can network analysis transform psychopathology? Behaviour Research and Therapy,86, 95–104.
McNally, R. J., Robinaugh, D. J., Wu, G. W. Y., Wang, L., Deserno, M., & Borsboom, D. (2015). Mental disorders as causal systems: A network approach to Posttraumatic Stress Disorder. Clinical Psychological Science,3, 836–849.
Moberly, N., & Watkins, E. (2008). Ruminative self-focus and negative affect: An experience sampling study. Journal of Abnormal Psychology, 117(2), 314–323.
Mothes, H., Klaperski, S., Seelig, H., Schmidt, S., & Fuchs, R. (2014). Regular aerobic exercise increases dispositional mindfulness in men: A randomized controlled trial. Mental Health and Physical Activity,7, 111–119.
Nolen-Hoeksema, S., & Morrow, J. (1991). A prospective study of depression and posttraumatic stress symptoms after a natural disaster: The 1989 Loma Prieta Earthquake. Journal of Personality and Social Psychology,61, 115.
Nolen-Hoeksema, S., Wisco, B. E., & Lyubomirsky, S. (2008). Rethinking rumination. Perspectives on Psychological Science, 3(5), 400–424.
Puterman, E., O’Donovan, A., Adler, N. E., Tomiyama, A. J., Kemeny, M., Wolkowitz, O. M., et al. (2011). Physical activity moderates effects of stressor-induced rumination on cortisol reactivity. Psychosomatic Medicine,73, 604–611.
Puterman, E., Weiss, J., Beauchamp, M. R., Mogle, J., & Almeida, D. M. (2017). Physical activity and negative affective reactivity in daily life. Health Psychology,36, 1186.
Robinaugh, D. J., LeBlanc, N. J., Vuletich, H. A., & McNally, R. J. (2014). Network analysis of persistent complex bereavement disorder in conjugally bereaved adults. Journal of Abnormal Psychology,123, 510–522.
Schmittmann, V. D., Cramer, A. O. J., Waldorp, L. J., Epskamp, S., Kievit, R. A., & Borsboom, D. (2013). Deconstructing the construct: A network perspective on psychological phenomena. New Ideas in Psychology,31, 43–53.
Ströhle, A. (2009). Physical activity, exercise, depression and anxiety disorders. Journal of Neural Transmission,116, 777–784.
Szuhany, K. L., Bugatti, M., & Otto, M. W. (2015). A meta-analytic review of the effects of exercise on brain-derived neurotrophic factor. Journal of Psychiatric Research,60, 56–64.
Tanaka, H., Monahan, K. D., & Seals, D. R. (2001). Age-predicted maximal heart rate revisited. Journal of the American College of Cardiology,37, 153–156.
Terry, A., Szabo, A., & Griffiths, M. (2004). The exercise addiction inventory: A new brief screening tool. Addiction Research & Theory,12, 489–499.
Thomas, S., Reading, J., & Shephard, R. J. (1992). Revision of the Physical Activity Readiness Questionnaire (PAR-Q). Canadian Journal of Sport Sciences,17, 338–345.
Ulmer, C. S., Stetson, B. A., & Salmon, P. G. (2010). Mindfulness and acceptance are associated with exercise maintenance in YMCA exercisers. Behaviour Research and Therapy,48, 805–809.
Van Borkulo, C., Boschloo, L., Borsboom, D., Penninx, B. W. J. H., Lourens, J. W., & Schoevers, R. A. (2015). Association of symptom network structure with the course of longitudinal depression. JAMA Psychiatry,72, 1219–1226.
Acknowledgements
We thank Isabel Alexander, Sabrina Bell, Antonia Bruehl, Mikaela Carter, Stephanie Ferrarie, Gregory Gozzo, Danielle Krzyszczyk, Olivia Losiewicz, Marieke Meier, Micaela Rodriguez, Calvin Stewart, Sophia Yanis, and Hannah Zarzecki for their assistance.
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This project was supported by the Gordon W. Allport Memorial Fund Research Grant from Harvard University.
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Author Emily E. Bernstein, Author Alexandre Heeren, and Author Richard J. McNally declare that they have no conflicts of interest.
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Bernstein, E.E., Heeren, A. & McNally, R.J. A Network Approach to Understanding the Emotion Regulation Benefits of Aerobic Exercise. Cogn Ther Res 44, 52–60 (2020). https://doi.org/10.1007/s10608-019-10039-6
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DOI: https://doi.org/10.1007/s10608-019-10039-6