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Ambulatory Monitoring and Ecological Momentary Assessment

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Handbook of Cardiovascular Behavioral Medicine

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Abstract

Ambulatory monitoring methods enable the systematic measurement of physiology, behavior, and environmental cues during the course of daily living. This chapter describes important advantages of ambulatory monitoring techniques over laboratory-based measures and retrospective self-report instruments. Three primary domains of ambulatory monitoring will be reviewed: blood pressure, salivary cortisol, and self-report measures. The epidemiological value of these measures will be discussed, as well as their sociodemographic, psychological, and behavioral correlates. Methodological issues relevant to these domains of assessment are also discussed. This chapter then addresses novel future directions in ambulatory monitoring, including developments in environmental exposure (adverse neighborhood exposures and light-induced circadian disruption), biological sample collection, and computer-based self-report tools using cell phones and other devices. These new developments in ambulatory assessment illustrate the unique opportunities of wearable technologies, new computational techniques, and rapid wireless real-time data transfer that will have important implications for cardiovascular behavioral medicine research and its clinical applications.

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Acknowledgments

This work was supported in part by the Exposure Biology Program (U01-DA-07005, U01-DA-023812, U01-DA-023832, U01-DA-023822, U01-HL091737), with additional funds provided by the NHLBI (R01-HL056346, P01-HL40962, R01-HL114082), NIDA (R01-DA035502, R34-DA-033181, R01-DA006084, and R01-DA020742), NSF (EEEC-0540865), and CNS-0910878 funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). The research was also supported in part by the Intramural Research Program of NIDA, NIH.

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Authors and Affiliations

  1. Departments of Psychology and Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA

    Thomas W. Kamarck

  2. Department of Family Medicine and Biobehavioral Health, University of Minnesota Medical School, Duluth, MN, USA

    Mustafa al’Absi

  3. Real-World Assessment, Prediction, and Treatment Unit, National Institute on Drug Abuse Intramural Research Program, Baltimore, MD, USA

    David Epstein

  4. Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA

    Emre Ertin

  5. Khoury College of Computer Sciences and Bouvé College of Health Sciences, Northeastern University, Boston, MA, USA

    Stephen Intille

  6. Departments of Epidemiology and Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA

    Gregory Kirk

  7. Department of Computer Science, University of Memphis, Memphis, TN, USA

    Santosh Kumar

  8. Intramural Research Program, National Institute on Drug Abuse, Baltimore, MD, USA

    Kenzie L. Preston

  9. Lighting Research Center, Rensselaer Polytechnic Institute, Troy, NY, USA

    Mark Rea

  10. Departments of Oral and Maxillofacial Surgery and Biomedical Engineering, University of California, Los Angeles, Los Angeles, CA, USA

    Vivek Shetty

  11. Departments of Psychology, Psychiatry, Pharmaceutical Sciences, and Clinical Translational Research, University of Pittsburgh, Pittsburgh, PA, USA

    Saul Shiffman

  12. Departments of Electrical and Computer Engineering and Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA

    Dan Siewiorek

  13. Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA

    Asim Smailagic

  14. Department of Psychology in Education, University of Pittsburgh, Pittsburgh, PA, USA

    Clem Stone

  15. Innovative Diagnostics Technologies, LLC, Atlanta, GA, USA

    Manju Venugopal

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  1. Thomas W. Kamarck
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  15. Manju Venugopal
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Correspondence to Thomas W. Kamarck .

Editor information

Editors and Affiliations

  1. Department of Psychology, University of Maryland, Baltimore County, Baltimore, MD, USA

    Shari R. Waldstein

  2. Department of Medical and Clinical Psychology, Tilburg University, Tilburg, The Netherlands

    Willem J. Kop

  3. Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA

    Edward C. Suarez

  4. Department of Psychiatry and Behavioral Sciences, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA

    William R. Lovallo

  5. Division of Gerontology Geriatrics and Palliative Medicine Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA

    Leslie I. Katzel

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Kamarck, T.W. et al. (2022). Ambulatory Monitoring and Ecological Momentary Assessment. In: Waldstein, S.R., Kop, W.J., Suarez, E.C., Lovallo, W.R., Katzel, L.I. (eds) Handbook of Cardiovascular Behavioral Medicine. Springer, New York, NY. https://doi.org/10.1007/978-0-387-85960-6_40

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