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01-06-2021

Individual and joint associations of daily sleep and stress with daily well-being in hospital nurses: an ecological momentary assessment and actigraphy study

Authors: Taylor F. D. Vigoureux, Soomi Lee

Published in: Journal of Behavioral Medicine | Issue 3/2021

Abstract

Sleep and stress are predictors of daily physical and emotional well-being, but few studies assess both simultaneously. This study examined individual and joint associations of daily sleep and stress with daily well-being (DWB) in hospital nurses. Nurses (n = 60) participated in a 14-day ecological momentary assessment and actigraphy study. Multilevel modeling revealed associations of stressor severity and poor sleep health with DWB, independent of and coupled with each other, at within- and between-person levels. Greater stressor severity or poorer sleep health, independent of each other, were associated with more physical symptoms, less positive affect (PA), and more negative affect (NA). Joint associations of stress and sleep with DWB were observed: PA was lowest when higher stressor severity was coupled with poorer sleep health; NA was lowest when lower stressor severity was coupled with better sleep health. Findings suggest the importance of considering both sleep and stress for DWB in hospital nurses.

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Adams, E. L., Master, L., Buxton, O. M., & Savage, J. S. (2019). A longitudinal study of sleep-wake patterns during early infancy using proposed scoring guidelines for actigraphy. Sleep Medicine, 63, 98–105. https://doi.org/10.1016/j.sleep.2019.05.017CrossRefPubMed

Akerstedt, T., Nilsson, P. M., & Kecklund, G. (2009). Sleep and Recovery. In: S. Sonnentag, P. L. Perrewe, & D. C. Ganster (Eds.), Current perspectives on job-stress recovery (research in occupational stress and well being) (Vol. 7, pp. 205–247). Emerald Group Publishing Limited, Bingley. https://doi.org/10.1108/S1479-3555(2009)0000007009

Allen, A. H., Park, J. E., Adhami, N., Sirounis, D., Tholin, H., Dodek, P., et al. (2014). Impact of work schedules on sleep duration of critical care nurses. American Journal of Critical Care, 23(4), 290–295. https://doi.org/10.4037/ajcc2014876CrossRef

Almeida, D. M. (2005). Resilience and vulnerability to daily stressors assessed via diary methods. Current Directions in Psychological Science, 14(2), 62–68.CrossRef

Almeida, D. M., & Horn, M. C. (2004). Is daily life more stressful during middle adulthood? In: O. G. Brim, C. D. Ryff, & R. C. Kessler (Eds.), The John D. and Catherine T. MacArthur foundation series on mental health and development. Studies on successful midlife development. How healthy are we?: A national study of well-being at midlife (pp. 425–451). The University of Chicago Press, Chicago. http://books.google.com/books?hl=en&lr=&id=tZKRJsi_-VoC&oi=fnd&pg=PR9&dq=How+healthy+are+we?+A+national+study+of+well-being+at+midlife&ots=5xXN4rC4-L&sig=ZINIz-rtbke48bhZaeKHU_M8bI8

Benham, G. (2010). Sleep: An important factor in stress-health models. Stress and Health, 26(3), 204–214. https://doi.org/10.1002/smi.1304CrossRef

Blaxton, J. M., Bergeman, C. S., Whitehead, B. R., Braun, M. E., & Payne, J. D. (2017). Relationships among nightly sleep quality, daily stress, and daily affect. Journals of Gerontology—Series B Psychological Sciences and Social Sciences, 72(3), 363–372. https://doi.org/10.1093/geronb/gbv060CrossRef

Bolger, N., Davis, A., & Rafaeli, E. (2003). Diary methods: Capturing life as it is lived. Annual Review of Psychology, 54, 579–616. https://doi.org/10.1146/annurev.psych.54.101601.145030CrossRefPubMed

Bower, B., Bylsma, L. M., Morris, B. H., & Rottenberg, J. (2010). Poor reported sleep quality predicts low positive affect in daily life among healthy and mood-disordered persons: Sleep quality and positive affect. Journal of Sleep Research, 19(2), 323–332. https://doi.org/10.1111/j.1365-2869.2009.00816.xCrossRefPubMed

Buxton, O. M., Lee, S., Beverly, C., Berkman, L. F., Moen, P., Kelly, E. L., et al. (2016). Work-family conflict and employee sleep: Evidence from IT workers in the work, family and health study. Sleep, 39(10), 1911–1918. https://doi.org/10.5665/sleep.6172CrossRef

Buysse, D. J. (2014). Sleep health: Can we define it? Does it matter? Sleep, 37(1), 9–17. https://doi.org/10.5665/sleep.3298CrossRefPubMedPubMedCentral

Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989). The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research. Psychiatry Research, 28(2), 193–213. https://doi.org/10.1016/0165-1781(89)90047-4CrossRefPubMed

D’Ambrosio, C. D., & Redline, S. (2014). Sleep across the lifespan. In: S. Redline & N. A. Berger (Eds.) Impact of sleep and sleep disturbances on obesity and cancer (pp. 1–23). Springer, New York. https://doi.org/10.1007/978-1-4614-9527-7

DeLongis, A., Folkman, S., & Lazarus, R. S. (1988). The impact of daily stress on health and mood: Psychological and social resources as mediators. Journal of Personality and Social Psychology, 54(3), 486–495. https://doi.org/10.1037/0022-3514.54.3.486CrossRefPubMed

DeMasi, O., Feygin, S., Dembo, A., Aguilera, A., & Recht, B. (2017). Well-being tracking via smartphone-measured activity and sleep: Cohort study. JMIR MHealth and UHealth, 5(10), e137. https://doi.org/10.2196/mhealth.7820CrossRefPubMedPubMedCentral

Diener, E., & Emmons, R. A. (1985). The independence of positive and negative affect. Journal of Personality and Social Psychology, 47(5), 1105–1117. https://doi.org/10.1037/0022-3514.47.5.1105CrossRef

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(4), 488–497. https://doi.org/10.1037/emo0000143CrossRefPubMed

Gartland, N., O’Connor, D. B., Lawton, R., & Bristow, M. (2014). Exploring day-to-day dynamics of daily stressor appraisals, physical symptoms and the cortisol awakening response. Psychoneuroendocrinology, 50, 130–138. https://doi.org/10.1016/j.psyneuen.2014.08.006CrossRefPubMed

Geurts, S. A. E., & Sonnentag, S. (2006). Recovery as an explanatory mechanism in the relation between acute stress reactions and chronic health impairment. Scandinavian Journal of Work, Environment and Health, 32(6), 482–492. https://doi.org/10.5271/sjweh.1053CrossRefPubMed

Giorgi, F., Mattei, A., Notarnicola, I., Petrucci, C., & Lancia, L. (2018). Can sleep quality and burnout affect the job performance of shift-work nurses? A hospital cross-sectional study. Journal of Advanced Nursing, 74(3), 698–708. https://doi.org/10.1111/jan.13484CrossRefPubMed

Grandner, M. A., Patel, N. P., Gehrman, P. R., Xie, D., Sha, D., Weaver, T., & Gooneratne, N. (2010). Who gets the best sleep? Ethnic and socioeconomic factors related to sleep complaints. Sleep Medicine, 11(5), 470–478. https://doi.org/10.1016/j.sleep.2009.10.006CrossRefPubMedPubMedCentral

Haack, M., & Mullington, J. M. (2005). Sustained sleep restriction reduces emotional and physical well-being. Pain, 119(1–3), 56–64. https://doi.org/10.1016/j.pain.2005.09.011CrossRefPubMed

Hill, P. L., Sin, N. L., Turiano, N. A., Burrow, A. L., & Almeida, D. M. (2018). Sense of purpose moderates the associations between daily stressors and daily well-being. Annals of Behavioral Medicine, 52(8), 724–729. https://doi.org/10.1093/abm/kax039CrossRefPubMedPubMedCentral

Hoffman, L., & Stawski, R. S. (2009). Persons as contexts: Evaluating between-person and within-person effects in longitudinal analysis. Research in Human Development, 6(2–3), 97–120. https://doi.org/10.1080/15427600902911189CrossRef

Knutson, K. L. (2013). Sociodemographic and cultural determinants of sleep deficiency: Implications for cardiometabolic disease risk. Social Science and Medicine, 79(1), 7–15. https://doi.org/10.1016/j.socscimed.2012.05.002CrossRefPubMed

Lee, S., Buxton, O. M., Andel, R., & Almeida, D. M. (2019). Bidirectional associations of sleep with cognitive interference in employees’ work days. Sleep Health, 5, 298–308. https://doi.org/10.1016/j.sleh.2019.01.007CrossRefPubMed

Lee, S., Mu, C., Gonzalez, B. D., Vinci, C. E., & Small, B. J. (2020). Sleep health is associated with next-day mindful attention in healthcare workers. Sleep Health, 000, 1–8. https://doi.org/10.1016/j.sleh.2020.07.005CrossRef

Lorah, J. (2018). Effect size measures for multilevel models: Definition, interpretation, and TIMSS example. Large-Scale Assessments in Education, 6(1), 1–11. https://doi.org/10.1186/s40536-018-0061-2CrossRef

Maas, C. J., & Hox, J. (2005). Sufficient sample sizes for multilevel modeling. Methodology, 1(3), 86–92. https://doi.org/10.1027/1614-1881.1.3.86CrossRef

Matthews, K. A., Jennings, J. R., & Lee, L. (2018). Socioeconomic status in childhood predicts sleep continuity in adult Black and White men. Sleep Health, 4(1), 49–55. https://doi.org/10.1016/j.sleh.2017.09.008CrossRefPubMed

Mccrae, C. S., Mcnamara, J. P. H., Rowe, M. A., Dzierzewski, J. M., Dirk, J., Marsiske, M., & Craggs, J. G. (2008). Sleep and affect in older adults: Using multilevel modeling to examine daily associations. Journal of Sleep Research, 17(1), 42–53. https://doi.org/10.1111/j.1365-2869.2008.00621.xCrossRefPubMedPubMedCentral

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. https://doi.org/10.1111/j.0022-3506.2004.00265.xCrossRefPubMed

Mroczek, D. K., Stawski, R. S., Turiano, N. A., Chan, W., Almeida, D. M., Neupert, S. D., & Spiro, A. (2015). Emotional reactivity and mortality: Longitudinal findings from the VA normative aging study. Journals of Gerontology—Series B Psychological Sciences and Social Sciences, 70(3), 398–406. https://doi.org/10.1093/geronb/gbt107CrossRef

Nahmod, N. G., Lee, S., Master, L., Chang, A. M., Hale, L., & Buxton, O. M. (2019). Later high school start times associated with longer actigraphic sleep duration in adolescents. Sleep, 42(2), 1–10. https://doi.org/10.1093/sleep/zsy212CrossRef

Ong, A. D. (2010). Pathways linking positive emotion and health in later life. Current Directions in Psychological Science, 19(6), 358–362. https://doi.org/10.1177/0963721410388805CrossRef

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. https://doi.org/10.1007/s12160-012-9423-0CrossRefPubMedPubMedCentral

Prapanjaroensin, A., Patrician, P. A., & Vance, D. E. (2017). Conservation of resources theory in nurse burnout and patient safety. Journal of Advanced Nursing, 73(11), 2558–2565. https://doi.org/10.1111/jan.13348CrossRefPubMed

Repetti, R. L. (1993). Short-term effects of occupational stressors on daily mood and health complaints. Health Psychology, 12(2), 125–131. https://doi.org/10.1037/0278-6133.12.2.125CrossRefPubMed

Rutledge, T., Stucky, E., Dollarhide, A., Shively, M., Jain, S., Wolfson, T., et al. (2009). A real-time assessment of work stress in physicians and nurses. Health Psychology, 28(2), 194–200. https://doi.org/10.1037/a0013145CrossRefPubMed

Scott, S. B., Graham-Engeland, J. E., Engeland, C. G., Smyth, J. M., Almeida, D. M., Katz, M. J., et al. (2015). The effects of stress on cognitive aging, physiology and emotion (ESCAPE) project. BMC Psychiatry, 15(1), 1–14. https://doi.org/10.1186/s12888-015-0497-7CrossRef

Sin, N. L., Graham-Engeland, J. E., Ong, A. D., & Almeida, D. M. (2015). Affective reactivity to daily stressors is associated with elevated inflammation. Healthy Psychology, 34(12), 1154–1165. https://doi.org/10.1037/hea0000240CrossRef

Sliwinski, M. J., Mogle, J. A., Hyun, J., Munoz, E., Smyth, J. M., & Lipton, R. B. (2018). Reliability and validity of ambulatory cognitive assessments. Assessment, 25(1), 14–30. https://doi.org/10.1177/1073191116643164CrossRefPubMed

Stoica, C. (2015). Sleep, a predictor of subjective well-being. Procedia—Social and Behavioral Sciences, 187, 443–447. https://doi.org/10.1016/j.sbspro.2015.03.083CrossRef

Sun, Q., Ji, X., Zhou, W., & Liu, J. (2019). Sleep problems in shift nurses: A brief review and recommendations at both individual and institutional levels. Journal of Nursing Management, 27, 10–18. https://doi.org/10.1111/jonm.12656CrossRefPubMed

Totterdell, P., Reynolds, S., Parkinson, B., & Briner, R. B. (1994). Associations of sleep with everyday mood, minor symptoms and social interaction experience. Sleep, 17(5), 466–475. https://doi.org/10.1093/sleep/17.5.466CrossRefPubMed

Wallace, M. L., Yu, L., Buysse, D. J., Stone, K. L., Redline, S., Smagula, S. F., et al. (2020). Multidimensional sleep health domains in older men and women: An actigraphy factor analysis. Sleep. https://doi.org/10.1093/sleep/zsaa181CrossRefPubMedPubMedCentral

Title: Individual and joint associations of daily sleep and stress with daily well-being in hospital nurses: an ecological momentary assessment and actigraphy study
Authors: Taylor F. D. Vigoureux
Soomi Lee
Publication date: 01-06-2021
Publisher: Springer US
Published in: Journal of Behavioral Medicine / Issue 3/2021
Print ISSN: 0160-7715
Electronic ISSN: 1573-3521
DOI: https://doi.org/10.1007/s10865-021-00207-z

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Individual and joint associations of daily sleep and stress with daily well-being in hospital nurses: an ecological momentary assessment and actigraphy study

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