Skip to main content
Log in

It's a function of time: A review of the process approach to behavioral medicine research

  • Published:
Annals of Behavioral Medicine

Abstract

In many fields of science, phenomena are studied closely over time to make inferences about patterns of behavior and to allow for predictions of future change and stability. In behavioral medicine, traditional cross-sectional and longitudinal designs are useful for capturing highly stable or slowly-changing phenomena, but important behavior change can be missed by one-occasion measures or infrequent measurements taken at widely-spaced points in time. We review recent research showing how a more complete understanding of many forms of psychological and somatic phenomena can be achieved through intensive measurement within the temporal context in which behavior occurs. This “process approach” to research, conducted in both naturalistic and laboratory settings, is presented here and placed in a methodological and theoretical framework. We also attempt to make recent research on the non-linear dynamics of behavior more accessible by describing and illustrating the uses of time in behavioral medicine research.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Lao Tzu:Tao Te Ching. New York: Bantam, 1990.

    Google Scholar 

  2. Folkman S, Lazarus RS: If it changes it must be a process: A study of emotion and coping during three stages of a college examination.Journal of Personality and Social Psychology. 1985,48: 150–170.

    Article  PubMed  CAS  Google Scholar 

  3. Derogatis LR, Spencer PM:The Brief Symptom Inventory. Baltimore, MD: Clinical Psychometric Research, 1982.

    Google Scholar 

  4. McNair DM, Lorr M, Droppleman LF:Manual: Profile of Mood States. San Diego, CA: Educational and Industrial Testing Service, 1971.

    Google Scholar 

  5. Menaghan E: Measuring coping effectiveness: A panel analysis of marital problems and efforts.Journal of Health and Social Behavior. 1982,23: 220–234.

    Article  PubMed  CAS  Google Scholar 

  6. Aldwin C, Folkman S, Schaefer C, Coyne JC, Lazarus RS: Ways of coping: A process measure. The annual meeting of the American Psychological Association. Montreal, Canada: 1980.

  7. Pearlin LI, Schooler C: The structure of coping.Journal of Health and Social Behavior. 1978,19: 2–21.

    Article  PubMed  CAS  Google Scholar 

  8. Folkman S, Lazarus RS, Gruen RJ, DeLongis A: Appraisal, coping, health status, and psychological symptoms.Journal of Personality and Social Psychology. 1986,50: 571–579.

    Article  PubMed  CAS  Google Scholar 

  9. Glass AL, Holyoak KJ:Cognition (2nd Ed.). New York: Random House, 1986.

    Google Scholar 

  10. Stone AA, Schiffman S: Ecological momentary assessment (EMA) in behavioral medicine.Annals of Behavioral Medicine. 1994,16: 199–202.

    Google Scholar 

  11. Beese A, Morley S: Memory for acute pain experience is specifically inaccurate but generally reliable.Pain. 1993,53: 183–189.

    Article  PubMed  CAS  Google Scholar 

  12. Larsen RJ: Neuroticism and selective encoding and recall of symptoms: Evidence from a combined concurrent-retrospective study.Journal of Personality and Social Psychology. 1992,62: 480–488.

    Article  PubMed  CAS  Google Scholar 

  13. Turk DC: Potentials of process measurement: Motion pictures versus snapshots.Annals of Behavioral Medicine. 1994,16: 198.

    Google Scholar 

  14. Ramsay JO, Silverman BW:Functional Data Analysis. New York: Chapman-Hall, 1997.

    Google Scholar 

  15. Combs A: Psychology, chaos, and the process nature of consciousness. In Abraham FD, Gilgen AR (eds),Chaos Theory in Psychology. Westport, CT: Praeger, 1995, 129–137.

    Google Scholar 

  16. Larsen RJ: A process approach to personality psychology: Utilizing time as a facet of data. In Buss D, Cantor N (eds),Personality Psychology: Recent Trends and Emerging Directions. New York: Springer-Verlag, 1989, 177–193.

    Google Scholar 

  17. Brown KW, Moskowitz DS: Does unhappiness make you sick? The role of affect and neuroticism in the experience of common physical symptoms.Journal of Personality and Social Psychology. 1997,72: 907–917.

    Article  PubMed  CAS  Google Scholar 

  18. Melzack R: The tragedy of needless pain.Scientific American. 1990,262: 27–33.

    Article  PubMed  CAS  Google Scholar 

  19. Emmons RA: Personal strivings, daily life events, and psychological and physical well-being.Journal of Personality. 1991,59: 453–472.

    Article  PubMed  CAS  Google Scholar 

  20. Koerner J: Nonlinear dynamic systems in behavioral psychology. Unpublished doctoral dissertation. University of Minnesota, 1993.

  21. Larsen RJ, Kasimatis M: Individual differences in entrainment of mood to the weekly calendar.Journal of Personality and Social Psychology. 1990,58: 164–171.

    Article  PubMed  CAS  Google Scholar 

  22. Brown KW, Moskowitz DS: Dynamic stability of behavior: The rhythms of our interpersonal lives.Journal of Personality. 1998,66: 105–134.

    Article  PubMed  CAS  Google Scholar 

  23. Goldberger AL, Rigney DR, West BJ: Chaos and fractals in human physiology.Scientific American. 1990,262: 43–49.

    Google Scholar 

  24. Heiby EM: Chaos theory, nonlinear dynamical models, and psychological assessment.Psychological Assessment. 1995a,7: 5–9.

    Article  Google Scholar 

  25. Abraham FD, Abraham RH, Shaw CD:A Visual Introduction to Dynamical Systems Theory for Psychology. Santa Cruz, CA: Aerial Press, 1990.

    Google Scholar 

  26. Abraham FD, Gilgen AR:Chaos Theory in Psychology. Westport, CT: Praeger, 1995.

    Google Scholar 

  27. Glass L, Mackey MC:From Clocks to Chaos: The Rhythms of Life. Princeton, NJ: Princeton University Press, 1988.

    Google Scholar 

  28. Waldrop MM:Complexity: The Emerging Science at the Edge of Order and Chaos. New York: Simon & Shuster, 1992.

    Google Scholar 

  29. von Bertalanffy L:General System Theory. New York: Braziller, 1968.

    Google Scholar 

  30. Jantsch E:The Self-Organizing Universe: Scientific and Human Implications of the Emerging Paradigm of Evolution. Oxford, England: Pergamon Press, 1980.

    Google Scholar 

  31. Sabelli HC, Carlson-Sabelli L, Patel MK, et al: Psychocardiological portraits: A clinical application of process theory. In Abraham FD, Gilgen AR (eds),Chaos Theory in Psychology. Westport, CT: Praeger, 1995, 107–125.

    Google Scholar 

  32. Stone AA, Neale JM, Cox DS, et al: Daily events are associated with a secretory immune response to an oral antigen in men.Health Psychology. 1994,13: 440–446.

    Article  PubMed  CAS  Google Scholar 

  33. Reidbord SP, Redington DJ: Psychophysiological processes during insight-oriented therapy: Further investigations into nonlinear dynamics.Journal of Nervous and Mental Disease. 1992,180: 649–657.

    Article  PubMed  CAS  Google Scholar 

  34. Reidbord SP, Redington DJ: Nonlinear analysis of autonomic responses in a therapist during psychotherapy.Journal of Nervous and Mental Disease. 1993,181: 428–435.

    Article  PubMed  CAS  Google Scholar 

  35. Redington DJ, Reidbord SP: Chaotic dynamics in autonomic nervous system activity of a patient during a psychotherapy session.Biological Psychiatry. 1992,31: 993–1007.

    Article  PubMed  CAS  Google Scholar 

  36. Wood C, Magnello ME, Sharpe MC: Fluctuations in perceived energy and mood among patients with chronic fatigue syndrome.Journal of the Royal Society of Medicine. 1992,85: 195–198.

    PubMed  CAS  Google Scholar 

  37. Haynes SN:Models of Causality in Psychopathology. New York: Macmillan, 1992.

    Google Scholar 

  38. Haynes SN, Blaine D, Meyer K: Dynamical models for psychological assessment: Phase space functions.Psychological Assessment. 1995,7: 17–24.

    Article  Google Scholar 

  39. Larsen RJ, Kasimatis M: Day-to-day physical symptoms: Individual differences in the occurrence, duration, and emotional concomitants of minor daily illnesses.Journal of Personality. 1991,59: 387–423.

    Article  PubMed  CAS  Google Scholar 

  40. Goener S: Chaos and deep ecology. In Abraham FD, Gilgen AR (eds),Chaos Theory in Psychology. Westport, CT: Prager, 1995, 3–18.

    Google Scholar 

  41. West SG, Hepworth JT: Statistical issues in the study of temporal data: Daily experiences.Journal of Personality. 1991,59: 609–662.

    Article  PubMed  CAS  Google Scholar 

  42. Kelly JR, McGrath JE:On Time and Method. Newbury Park, CA: Sage, 1988.

    Google Scholar 

  43. Reichardt CS: Comments on “The application of time series methods to moderate span longitudinal data”. In Collins LM, Horn JL (eds),Best Methods for the Analysis of Change: Recent Advances, Unanswered Questions, Future Directions. Washington, DC: American Psychological Association, 1991, 88–91.

    Google Scholar 

  44. Schwartz GE: Biofeedback and physiological patterning in human emotion and consciousness. In Beatty J, Legewie H (eds),Biofeedback and Behavior. New York: Plenum, 1977, 293–305.

    Google Scholar 

  45. Maier S, Watkins LR, Fleshner M: Psychoneuroimmunology: The interface between behavior, brain, and immunity.American Psychologist. 1994,49: 1004–1017.

    Article  PubMed  CAS  Google Scholar 

  46. Mackey MC, Milton JG: Dynamical diseases.Annals of the New York Academy of Sciences. 1987,504: 16–32.

    Article  PubMed  CAS  Google Scholar 

  47. James W:The Principles of Psychology. Cambridge, MA: Harvard University Press, 1890/1981.

    Google Scholar 

  48. Fischer KW, Rose SP: Concurrent cycles in the dynamic development of brain and behavior. In Dawson G, Fischer KW (eds),Human Behavior and the Developing Brain. New York: Guilford Press, 1994, 3–66.

    Google Scholar 

  49. Schwartz JE, Warren K, Pickering TG: Mood, location and physical position as predictors of ambulatory blood pressure and heart rate: Application of a multi-level random effects model.Annals of Behavioral Medicine. 1994,16: 210–220.

    Google Scholar 

  50. Affleck G, Tennen H, Urrows S, Higgins P: Individual differences in the day-to-day experience of chronic pain: A prospective study of rheumatoid arthritis patients.Health Psychology. 1991,10: 419–426.

    Article  PubMed  CAS  Google Scholar 

  51. Gottman JM:Time Series Analysis: A Comprehensive Introduction for Social Scientists. Cambridge, England: Cambridge University Press, 1981.

    Google Scholar 

  52. Bowerman BL, O'Connell RT:Forecasting and Time Series: An Applied Approach (3rd Ed.). Belmont, CA: Duxbury Press, 1993.

    Google Scholar 

  53. Jaccard J, Wan CK: Statistical analysis of temporal data with many observations: Issues for behavioral medicine data.Annals of Behavioral Medicine. 1993,15: 41–50.

    Google Scholar 

  54. Vallacher RR, Nowak A: The emergence of dynamical social psychology.Psychological Inquiry. 1997,8: 73–99.

    Article  Google Scholar 

  55. Levor RM, Cohen MJ, Naliboff BD, McArthur D, Heuser G: Psychosocial precursors and correlates of migraine headache.Journal of Consulting and Clinical Psychology. 1986,54: 347–353.

    Article  PubMed  CAS  Google Scholar 

  56. Halford WK, Cuddihy S, Mortimer RH: Psychological stress and blood glucose regulation in Type I diabetic patients.Health Psychology. 1990,9: 516–528.

    Article  PubMed  CAS  Google Scholar 

  57. Duncan AD: Self-application of behavior modification techniques by teenagers.Adolescence. 1969,16: 541–556.

    Google Scholar 

  58. Suls J, Martin RE: Daily recording and ambulatory monitoring methodologies in behavioral medicine.Annals of Behavioral Medicine. 1993,15: 3–7.

    Google Scholar 

  59. Wheeler L, Reis HT: Self-recording of everyday events: Origins, types, and uses.Journal of Personality. 1991,59: 339–354.

    Article  Google Scholar 

  60. Affleck G, Urrows S, Tennen H, Higgins P: Daily coping with pain from rheumatoid arthritis: Patterns and correlates.Pain. 1992,51: 221–229.

    Article  PubMed  CAS  Google Scholar 

  61. Bolger N: Coping as a personality process: A prospective study.Journal of Personality and Social Psychology. 1990,59: 525–537.

    Article  PubMed  CAS  Google Scholar 

  62. Stone AA, Kennedy-Moore E, Neale JM: Association between daily coping and end-of-day mood.Health Psychology. 1995,14: 341–349.

    Article  PubMed  CAS  Google Scholar 

  63. Gallant SJ, Hamilton JA, Popiel DA, Morokoff PJ, Chakraborty PK: Daily moods and symptoms: Effects of awareness of study focus, gender, menstrual-cycle phase, and day of the week.Health Psychology. 1991,10: 180–189.

    Article  PubMed  CAS  Google Scholar 

  64. McFarlane JM, Williams TB: Placing menstrual syndrome in perspective.Psychology of Women Quarterly. 1994,18: 339–373.

    Article  Google Scholar 

  65. McMillan MJ, Pihl RO: Premenstrual depression: A distinct entity.Journal of Abnormal Psychology. 1987,96: 149–154.

    Article  PubMed  CAS  Google Scholar 

  66. Rubinow DR, Roy-Byrne P, Hoban MC, Gold PW, Post RM: Prospective assessment of menstrually related mood disorders.American Journal of Psychiatry. 1984,141: 684–686.

    PubMed  CAS  Google Scholar 

  67. James GD, Pickering TG: Ambulatory blood pressure monitoring: Assessing the diurnal variation of blood pressure.American Journal of Physical Anthropology. 1991,84: 343–349.

    Article  PubMed  CAS  Google Scholar 

  68. White WB, Schulman P, McCabe EJ, Dey HM: Average daily blood pressure, not office blood pressure, determines cardiac function in patients with hypertension.Journal of the American Medical Association. 1989,261: 873–877.

    Article  PubMed  CAS  Google Scholar 

  69. Cowdry RW, Gardner DL, O'Leary KM, Leibenluft E, Rubinow DR: Mood variability: A study of four groups.American Journal of Psychiatry. 1991,148: 1505–1511.

    PubMed  CAS  Google Scholar 

  70. DiPietro L, Gyulai L, Stunkard AJ, Whybrow PC: Mood and body weight in a woman with rapid cycling bipolar disorder: A case report.Psychosomatic Medicine. 1993,55: 7–10.

    PubMed  CAS  Google Scholar 

  71. Stone AA, Broderick JE, Porter LS, et al: Fatigue and mood in chronic fatigue syndrome patients: Results of a momentary assessment protocol examining fatigue and mood levels and diurnal patterns.Annals of Behavioral Medicine. 1994,16: 228–234.

    Google Scholar 

  72. Affleck G, Tennen H, Urrows S, Higgins P: Person and contextual features of daily stress reactivity: Individual differences in relations of undesirable daily events with mood disturbance and chronic pain intensity.Journal of Personality and Social Psychology. 1994,66: 329–340.

    Article  PubMed  CAS  Google Scholar 

  73. Olsen NJ, Brooks RH, Furst D: Variability of immunologic and clinical features in patients with rheumatoid arthritis studied over 24 hours.Journal of Rheumatology. 1993,20: 940–943.

    PubMed  CAS  Google Scholar 

  74. Stone AA, Cox DS, Valdimarsdottir H, Jandorf L, Neale JM: Evidence that secretory IgA antibody is associated with daily mood.Journal of Personality and Social Psychology. 1987,52: 988–993.

    Article  PubMed  CAS  Google Scholar 

  75. van Eck MM, Nicolson NA: Perceived stress and salivary cortisol in daily life.Annals of Behavioral Medicine. 1994,16: 221–227.

    Google Scholar 

  76. Pickering TG: Ambulatory monitoring: Applications and limitations. In Schneiderman N, Weiss SM, Kaufmann P (eds),Handbook of Research Methods in Cardiovascular Behavioral Medicine. New York: Plenum, 1989, 261–272.

    Google Scholar 

  77. Heiby EM: Assessment of behavioral chaos with a focus on transitions in depression.Psychological Assessment. 1995b,7: 10–16.

    Article  Google Scholar 

  78. Tennen H, Suls J, Affleck G: Personality and daily experience: The promise and the challenge.Journal of Personality. 1991,59: 313–337.

    Google Scholar 

  79. Block J: Studying personality the long way. The annual meeting of the American Psychological Association. San Francisco, CA: 1991.

  80. Lazarus RS: Coping theory and research: Past, present, and future.Psychosomatic Medicine. 1993,55: 234–247.

    PubMed  CAS  Google Scholar 

  81. Moskowitz DS, Coté S: Do interpersonal traits predict affect? A comparison of three models.Journal of Personality and Social Psychology. 1995,69: 915–924.

    Article  Google Scholar 

  82. Haruki Y: Does the concept of embodiment offer us something new in psychology? The 26th International Congress of Psychology. Montreal, Canada: 1996.

  83. Brown KW: Emotional body, physical mind: An exploration of the psychosomatic system through the lens of day-to-day experience. Unpublished doctoral dissertation, McGill University, 1997.

  84. Epstein S: Trait theory as personality theory: Can a part be as great as the whole?Psychological Inquiry. 1994,5: 120–122.

    Article  Google Scholar 

  85. Mischel W: Personality dispositions revisited and revised: A view after three decades. In Pervin LA (ed),Handbook of Personality: Theory and Research. New York: Guilford Press, 1990, 111–134.

    Google Scholar 

  86. Nesselroade JR, Ford DH: P-technique comes of age: Multivariate, replicated, single-subject designs for research on older adults.Research on Aging. 1985,7: 46–80.

    Article  PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Preparation of this manuscript was supported in part by the National Cancer Institute of Canada with funds from the Canadian Cancer Society to the first author and by grants from the Social Sciences and Humanities Research Council of Canada and Fonds pour la Formation de Chercheurs et l'Aide à la Récherche du Québec to the second author.

Comments by Irv Binik, Morton Mendelson, Dana Bovbjerg, and two anonymous reviewers resulted in substantial improvements to this article.

About this article

Cite this article

Brown, K.W., Moskowitz, D.S. It's a function of time: A review of the process approach to behavioral medicine research. ann. behav. med. 20, 109–117 (1998). https://doi.org/10.1007/BF02884457

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02884457

Keywords

Navigation