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Smartphone-Based Ecological Momentary Assessment of Well-Being: A Systematic Review and Recommendations for Future Studies

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  • Lianne P. Vries

    (Vrije Universiteit Amsterdam
    Amsterdam University Medical Centres)

  • Bart M. L. Baselmans

    (The University of Queensland)

  • Meike Bartels

    (Vrije Universiteit Amsterdam
    Amsterdam University Medical Centres)

Abstract

Feelings of well-being and happiness fluctuate over time and contexts. Ecological Momentary Assessment (EMA) studies can capture fluctuations in momentary behavior, and experiences by assessing these multiple times per day. Traditionally, EMA was performed using pen and paper. Recently, due to technological advances EMA studies can be conducted more easily with smartphones, a device ubiquitous in our society. The goal of this review was to evaluate the literature on smartphone-based EMA in well-being research in healthy subjects. The systematic review was conducted according to the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines. Searching PubMed and Web of Science, we identified 53 studies using smartphone-based EMA of well-being. Studies were heterogeneous in designs, context, and measures. The average study duration was 12.8 days, with well-being assessed 2–12 times per day. Half of the studies included objective data (e.g. location). Only 47.2% reported compliance, indicating a mean of 71.6%. Well-being fluctuated daily and weekly, with higher well-being in evenings and weekends. These fluctuations disappeared when location and activity were accounted for. On average, being in nature and physical activity relates to higher well-being. Working relates to lower well-being, but workplace and company do influence well-being. The important advantages of using smartphones instead of other devices to collect EMAs are the easier data collection and flexible designs. Smartphone-based EMA reach far larger maximum sample sizes and more easily add objective data to their designs than palm-top/PDA studies. Smartphone-based EMA research is feasible to gain insight in well-being fluctuations and its determinants and offers the opportunity for parallel objective data collection. Most studies currently focus on group comparisons, while studies on individual differences in well-being patterns and fluctuations are lacking. We provide recommendations for future smartphone-based EMA research regarding measures, objective data and analyses.

Suggested Citation

  • Lianne P. Vries & Bart M. L. Baselmans & Meike Bartels, 2021. "Smartphone-Based Ecological Momentary Assessment of Well-Being: A Systematic Review and Recommendations for Future Studies," Journal of Happiness Studies, Springer, vol. 22(5), pages 2361-2408, June.
  • Handle: RePEc:spr:jhappi:v:22:y:2021:i:5:d:10.1007_s10902-020-00324-7
    DOI: 10.1007/s10902-020-00324-7
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    1. Mihaly Csikszentmihalyi & Jeremy Hunter, 2003. "Happiness in Everyday Life: The Uses of Experience Sampling," Journal of Happiness Studies, Springer, vol. 4(2), pages 185-199, June.
    2. Sonja Lyubomirsky & Heidi Lepper, 1999. "A Measure of Subjective Happiness: Preliminary Reliability and Construct Validation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 46(2), pages 137-155, February.
    3. Peter Greenspoon & Donald Saklofske, 2001. "Toward an Integration of Subjective Well-Being and Psychopathology," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 54(1), pages 81-108, April.
    4. Krueger, Alan B. & Schkade, David A., 2008. "The reliability of subjective well-being measures," Journal of Public Economics, Elsevier, vol. 92(8-9), pages 1833-1845, August.
    5. Magnus Johannesson & David I. Laibson & Sarah E. Medland & Michelle N. Meyer & Joseph K. Pickrell & Tõnu Esko & Robert F. Krueger & Jonathan P. Beauchamp & Philipp D. Koellinger & Daniel J. Benjamin &, 2016. "Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses," Post-Print hal-02017373, HAL.
    6. Mohsen Joshanloo, 2016. "Revisiting the Empirical Distinction Between Hedonic and Eudaimonic Aspects of Well-Being Using Exploratory Structural Equation Modeling," Journal of Happiness Studies, Springer, vol. 17(5), pages 2023-2036, October.
    7. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    8. Geiger, Ben Baumberg & MacKerron, George, 2016. "Can alcohol make you happy? A subjective wellbeing approach," Social Science & Medicine, Elsevier, vol. 156(C), pages 184-191.
    9. Zhihua Li & Xiayun Yin & Sha Jiang & Mengcheng Wang & Taisheng Cai, 2014. "Psychological Mechanism of Subjective Well-Being: A Stable Trait or Situational Variability," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 118(2), pages 523-534, September.
    10. Samantha Dockray & Nina Grant & Arthur Stone & Daniel Kahneman & Jane Wardle & Andrew Steptoe, 2010. "A Comparison of Affect Ratings Obtained with Ecological Momentary Assessment and the Day Reconstruction Method," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 99(2), pages 269-283, November.
    11. Christie Scollon & Chu Kim-Prieto & Ed Diener, 2003. "Experience Sampling: Promises and Pitfalls, Strengths and Weaknesses," Journal of Happiness Studies, Springer, vol. 4(1), pages 5-34, March.
    12. Doherty, Sean T. & Lemieux, Christopher J. & Canally, Culum, 2014. "Tracking human activity and well-being in natural environments using wearable sensors and experience sampling," Social Science & Medicine, Elsevier, vol. 106(C), pages 83-92.
    13. Michael Eid & Ed Diener, 2004. "Global Judgments of Subjective Well-Being: Situational Variability and Long-Term Stability," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 65(3), pages 245-277, February.
    14. Kai Ludwigs & Richard Lucas & Martijn Burger & Ruut Veenhoven & Lidia Arends, 2018. "How Does More Attention to Subjective Well-Being Affect Subjective Well-Being?," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 13(4), pages 1055-1080, December.
    15. Martijn Hendriks & Kai Ludwigs & Ruut Veenhoven, 2016. "Why are Locals Happier than Internal Migrants? The Role of Daily Life," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 125(2), pages 481-508, January.
    16. Anne Gadermann & Bruno Zumbo, 2007. "Investigating the Intra-Individual Variability and Trajectories of Subjective Well-being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 81(1), pages 1-33, March.
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    2. Elisa Mancinelli & Giulia Bassi & Silvia Gabrielli & Silvia Salcuni, 2022. "The Efficacy of Digital Cognitive–Behavioral Interventions in Supporting the Psychological Adjustment and Sleep Quality of Pregnant Women with Sub-Clinical Symptoms: A Systematic Review and Meta-Analy," IJERPH, MDPI, vol. 19(15), pages 1-18, August.

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