Daily Stress Processes in a Pandemic: The Effects of Worry, Age, and Affect

Niccole A Nelson, Cindy S Bergeman, Niccole A Nelson, Cindy S Bergeman

Abstract

Background and objectives: In March 2020, the World Health Organization declared the coronavirus disease 2019 (COVID-19) a pandemic. Given that such a global event might affect day-to-day stress processes, the current study examined individuals' daily stress reactivity and its moderators early in the COVID-19 pandemic.

Research design and methods: Two-level, multilevel models examined the daily relationship between perceived stress and negative affect, or stress reactivity, as well as the moderating effects of daily pandemic worry, age, and daily positive affect on this process. Participants included 349 individuals (age range = 26-89) from the Notre Dame Study of Health & Well-being who completed a 28-day, daily diary study at the beginning of the COVID-19 pandemic.

Results: Older individuals were less stress-reactive than younger individuals. Within individuals, however, stress reactivity was buffered by daily positive affect and exacerbated by daily pandemic worry. Finally, although daily positive affect buffered daily stress reactivity, this effect was weaker on days individuals were more worried about the COVID-19 pandemic.

Discussion and implications: The mobilization of positive emotion may be a promising avenue for buffering stress reactivity during the COVID-19 pandemic, although this may be limited on days individuals are particularly concerned about the pandemic.

Keywords: COVID-19; Coronavirus; Emotions; Hierarchical linear modeling.

© The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Figures

Figure 1.
Figure 1.
PSS = perceived stress; PA = positive affect; two-way, within-person interaction effect between daily perceived stress and daily positive affect. Although individuals experienced a higher negative affect on days that they experienced higher perceived stress, indicating stress reactivity, when individuals also experienced higher positive affect, they experienced weaker stress reactivity.
Figure 2.
Figure 2.
PSS = perceived stress; two-way, within-person interaction effect between daily perceived stress and daily pandemic worry. Although individuals experienced a higher negative affect on days that they experienced higher perceived stress, indicating stress reactivity, when individuals also experienced higher pandemic worry, they experienced higher stress reactivity.
Figure 3.
Figure 3.
PSS = perceived stress; two-way, cross-level interaction effect between daily perceived stress and age. Although individuals experienced a higher negative affect on days that they experienced higher perceived stress, indicating stress reactivity, younger individuals experienced higher stress reactivity than older individuals.
Figure 4.
Figure 4.
PSS = perceived stress, PA = positive affect; three-way, within-person interaction effect among daily perceived stress, positive affect, and pandemic worry. Although daily positive affect buffered daily stress reactivity, this effect was weaker on days that individuals were more worried about the pandemic.

References

    1. Almeida, D. M (2005). Resilience and vulnerability to daily stressors assessed via diary methods. Current Directions in Psychological Science, 2(14), 64–68. doi:10.1111/j.0963-7214.2005.00336.x
    1. Barber, S. J., & Kim, H (2020). COVID-19 worries and behavior changes in older and younger men and women. The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences. Advance online publication. doi:10.1093/geronb/gbaa068
    1. Blaxton, J., Bergeman, C. S., & Wang, L (2020). Daily stress reactivity across the life span: Longitudinal and cross-sectional effects of age. The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences, 75(3), 494–503. doi:10.1093/geronb/gby046
    1. Bruine de Bruin, W (2020). Age differences in COVID-19 risk perception and mental health: Evidence from a national U.S. survey conducted in March 2020. The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences. Advance online publication. doi:10.1093/geronb/gbaa074
    1. Centers for Disease Control and Prevention (2020). COVID-NET: A weekly summary of U.S. COVID-19 hospitalization data.
    1. Charles, S. T., Piazza, J. R., Mogle, J., Sliwinski, M. J., & Almeida, D. M (2013). The wear and tear of daily stressors on mental health. Psychological Science, 24(5), 733–741. doi:10.1177/0956797612462222
    1. Cohen, S., Kamarck, T., & Mermelstein, R (1983). A global measure of perceived stress. Journal of Health and Social Behavior, 24(4), 385–396. doi:10.2307/2136404
    1. Curran, P. J., & Bauer, D. J (2011). The disaggregation of within-person and between-person effects in longitudinal models of change. Annual Review of Psychology, 62, 583–619. doi:10.1146/annurev.psych.093008.100356
    1. Folkman, S (2008). The case for positive emotions in the stress process. Anxiety, Stress, and Coping, 21(1), 3–14. doi:10.1080/10615800701740457
    1. Klaiber, P., Wen, J. H., DeLongis, A., & Sin, N. L (2020). The ups and downs of daily life during COVID-19: Age differences in affect, stress, and positive events. The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences. Advance online publication. doi:10.1093/geronb/gbaa096
    1. Kuykendall, L., Tay, L., & Ng, V (2015). Leisure engagement and subjective well-being: A meta-analysis. Psychological Bulletin, 141(2), 364–403. doi:10.1037/a0038508
    1. Leger, K. A., Charles, S. T., & Almeida, D. M (2020). Positive emotions experienced on days of stress are associated with less same-day and next-day negative emotion. Affective Science, 1, 20–27. doi:10.1007/s42761-019-00001-w
    1. Mervosh, S., Lu, D., & Swales, V. (2020, April 20). See which states and cities have told residents to stay at home. New York Times.
    1. Mroczek, D. K., & Almeida, D. M (2004). The effect of daily stress, personality, and age on daily negative affect. Journal of Personality, 72(2), 355–378. doi:10.1111/j.0022-3506.2004.00265.x
    1. Ong, A. D., Bergeman, C. S., Bisconti, T. L., & Wallace, K. A (2006). Psychological resilience, positive emotions, and successful adaptation to stress in later life. Journal of Personality and Social Psychology, 91(4), 730–749. doi:10.1037/0022-3514.91.4.730
    1. Park, C. L., Russell, B. S., Fendrich, M., Finkelstein-Fox, L., Hutchison, M., & Becker, J (2020). Americans’ COVID-19 stress, coping, and adherence to CDC guidelines. Journal of General Internal Medicine, 35(8), 2296–2303. doi:10.1007/s11606-020-05898-9
    1. Piazza, J. R., Charles, S. T., Sliwinski, M. J., Mogle, J., & Almeida, D. M (2013). Affective reactivity to daily stressors and long-term risk of reporting a chronic physical health condition. Annals of Behavioral Medicine, 45(1), 110–120. doi:10.1007/s12160-012-9423-0
    1. Scott, S. B., Sliwinski, M. J., & Blanchard-Fields, F (2013). Age differences in emotional responses to daily stress: The role of timing, severity, and global perceived stress. Psychology and Aging, 28(4), 1076–1087. doi:10.1037/a0034000
    1. Serido, J., Almeida, D. M., & Wethington, E (2004). Chronic stressors and daily hassles: Unique and interactive relationships with psychological distress. Journal of Health and Social Behavior, 45(1), 17–33. doi:10.1177/002214650404500102
    1. Singer, J. D (1998). Using SAS PROC MIXED to fit multilevel models, hierarchical models, and individual growth models. Journal of Educational and Behavioral Statistics, 24(4), 323–255. doi:10.3102/10769986023004323
    1. Singer, J. D., & Willett, J. B (2003). Applied longitudinal data analysis: Modeling change and event occurrence. Oxford University Press.
    1. Sliwinski, M. J., Almeida, D. M., Smyth, J., & Stawski, R. S (2009). Intraindividual change and variability in daily stress processes: Findings from two measurement-burst diary studies. Psychology and Aging, 24(4), 828–840. doi:10.1037/a0017925
    1. Stawski, R. S., Sliwinski, M. J., Almeida, D. M., & Smyth, J. M (2008). Reported exposure and emotional reactivity to daily stressors: The roles of adult age and global perceived stress. Psychology and Aging, 23(1), 52–61. doi:10.1037/0882-7974.23.1.52
    1. Wang, L. P., & Maxwell, S. E (2015). On disaggregating between-person and within-person effects with longitudinal data using multilevel models. Psychological Methods, 20(1), 63–83. doi:10.1037/met0000030
    1. Watson, D., Clark, L. A., & Tellegen, A (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54(6), 1063–1070. doi:10.1037//0022-3514.54.6.1063
    1. Whitehead, B. R (2020). COVID-19 as a stressor: Pandemic expectations, perceived stress, and negative affect in older adults. The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences. Advance online publication. doi:10.1093/geronb/gbaa153
    1. Whitehead, B. R., & Bergeman, C. S (2014). Ups and downs of daily life: Age effects on the impact of daily appraisal variability on depressive symptoms. The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences, 69(3), 387–396. doi:10.1093/geronb/gbt019
    1. Whitehead, B. R., & Torossian, E (2020). Older adults’ experience of the COVID-19 pandemic: A mixed-methods analysis of stresses and joys. The Gerontologist. Advance online publication. doi:10.1093/geront/gnaa126

Source: PubMed

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