Using Ecological Momentary Assessments to Study How Daily Fluctuations in Psychological States Impact Stress, Well-Being, and Health


Journal article


Summer Mengelkoch, Daniel P. Moriarity, Anne Marie Novak, Michael P. Snyder, George M. Slavich, S. Lev-Ari
Journal of Clinical Medicine, 2023

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APA   Click to copy
Mengelkoch, S., Moriarity, D. P., Novak, A. M., Snyder, M. P., Slavich, G. M., & Lev-Ari, S. (2023). Using Ecological Momentary Assessments to Study How Daily Fluctuations in Psychological States Impact Stress, Well-Being, and Health. Journal of Clinical Medicine.


Chicago/Turabian   Click to copy
Mengelkoch, Summer, Daniel P. Moriarity, Anne Marie Novak, Michael P. Snyder, George M. Slavich, and S. Lev-Ari. “Using Ecological Momentary Assessments to Study How Daily Fluctuations in Psychological States Impact Stress, Well-Being, and Health.” Journal of Clinical Medicine (2023).


MLA   Click to copy
Mengelkoch, Summer, et al. “Using Ecological Momentary Assessments to Study How Daily Fluctuations in Psychological States Impact Stress, Well-Being, and Health.” Journal of Clinical Medicine, 2023.


BibTeX   Click to copy

@article{summer2023a,
  title = {Using Ecological Momentary Assessments to Study How Daily Fluctuations in Psychological States Impact Stress, Well-Being, and Health},
  year = {2023},
  journal = {Journal of Clinical Medicine},
  author = {Mengelkoch, Summer and Moriarity, Daniel P. and Novak, Anne Marie and Snyder, Michael P. and Slavich, George M. and Lev-Ari, S.}
}

Abstract

Despite great interest in how dynamic fluctuations in psychological states such as mood, social safety, energy, present-focused attention, and burnout impact stress, well-being, and health, most studies examining these constructs use retrospective assessments with relatively long time-lags. Here, we discuss how ecological momentary assessments (EMAs) address methodological issues associated with retrospective reports to help reveal dynamic associations between psychological states at small timescales that are often missed in stress and health research. In addition to helping researchers characterize daily and within-day fluctuations and temporal dynamics between different health-relevant processes, EMAs can elucidate mechanisms through which interventions reduce stress and enhance well-being. EMAs can also be used to identify changes that precede critical health events, which can in turn be used to deliver ecological momentary interventions, or just-in-time interventions, to help prevent such events from occurring. To enable this work, we provide examples of scales and single-item questions used in EMA studies, recommend study designs and statistical approaches that capitalize on EMA data, and discuss limitations of EMA methods. In doing so, we aim to demonstrate how, when used carefully, EMA methods are well poised to greatly advance our understanding of how intrapersonal dynamics affect stress levels, well-being, and human health.


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