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.
| Original language | English |
|---|---|
| Article number | 24 |
| Journal | Journal of Clinical Medicine |
| Volume | 13 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 2024 |
Funding
| Funders | Funder number |
|---|---|
| California Governor’s Office of Planning | |
| National Institutes of Health | K08 ES028825, F32 MH130149 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 1 No Poverty
Keywords
- burnout
- ecological momentary assessment
- energy
- health
- mood
- present focus
- social safety
- stress
- well-being
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