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22 - Health Psychology and Behavioral Medicine

Methodological Issues in the Study of Psychosocial Influences on Disease

from Part V - Intervention Approaches

Published online by Cambridge University Press:  23 March 2020

By
Timothy W. Smith
Edited by
Aidan G. C. Wright  and
Michael N. Hallquist
Aidan G. C. Wright
Affiliation:
University of Pittsburgh
Michael N. Hallquist
Affiliation:
Pennsylvania State University
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Summary

Health psychology and behavioral medicine are founded on the biopsychosocial model, in which health and disease reflect reciprocal influences among biological, psychosocial, and sociocultural processes. As a result, research methods in these fields draw on concepts and methods from several disciplines and often require their integration. Health psychology and behavioral medicine include three major topics: health behavior and risk reduction; psychosocial aspects of medical illness and medical care; and psychosocial and psychobiological influences on disease. This chapter emphasizes methodological challenges in the third topic, although the issues discussed are broadly relevant to the others. Conceptualization and measurement of health endpoints presents evolving challenges in which measured outcomes must capture specific and well-defined aspects of health and disease. In the identification of psychosocial predictors of health outcomes, psychosocial epidemiology research must address a variety of challenges, including the conceptualization, measurement, and analysis of overlapping risk factors. In research on the psychobiological mechanisms linking risk and resilience factors with health outcomes, theory-driven research should consider a broad range of interrelated physiological processes and multiple sources of pathogenic physiological activation. Across the various research topics, clear ties to conceptual models, consideration of developmental issues across the lifespan, the need to examine both between- and within-person associations in many research questions, and the importance of health disparities and related aspects of ethnic and cultural diversity are important in measurement, design, and analysis of biopsychosocial research.

Keywords

health psychologybehavioral medicinemethodologyresearch designclinical health psychologybiopsychosocial modelpsychosocial epidemiologystress and disease
Type
Chapter
Information
The Cambridge Handbook of Research Methods in Clinical Psychology , pp. 287 - 298
Publisher: Cambridge University Press
Print publication year: 2020

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References

Adler, N. E. (2009). Health Disparities through a Psychological Lens. American Psychologist, 64, 663–673.Google Scholar
Alcaraz, K. I., Sly, J., Ashing, K., Fleisher, L., Gil-Rivas, V., Ford, S., … Gwende, C. (2017). The ConNECT Framework: A Model for Advancing Behavioral Medicine Science and Practice to Foster Health Equity. Journal of Behavioral Medicine, 40, 23–38.Google Scholar
Appleton, A., Holdsworth, E., Ryan, M., & Tracy, M. (2017). Measuring Childhood Adversity in Life Course Cardiovascular Research: A Systematic Review. Psychosomatic Medicine, 79, 434–440.CrossRefGoogle ScholarPubMed
Barrera, M. Jr., Castro, F. G., Stryker, L. A., & Tolbert, D. J. (2013). Cultural Adaptations of Behavioral Health Interventions: A Progress Report. Journal of Consulting and Clinical Psychology, 81, 196–205.CrossRefGoogle Scholar
Block, J. (1995). A Contrarian View of the Five-Factor Approach to Personality Description. Psychological Bulletin, 117, 187–215.CrossRefGoogle ScholarPubMed
Boutron, I., Mosher, D., Altman, D., Schultz, K., & Ravaud, P. (2008). Extending the CONSORT Statement to Randomized Trials of Nonpharmacologic Treatments: Explanation and Elaboration. Annals of Internal Medicine, 148, 295–309.Google Scholar
Burg, M. M., Schwartz, J., Kronish, I., Diaz, K., & Alcantara, C. (2017). Does Stress Result in You Exercising Less? Or Does Exercising Result in You Being Less Stressed? Or Is It Both? Testing the Bi-Directional Stress-Exercise Association at the Group and Person (N of 1) Level. Annals of Behavioral Medicine, 51, 799–809.Google Scholar
Bush, N. R., Lane, R. D., & McLaughlin, K. A. (2016). Mechanisms Underlying the Association between Early-Life Adversity and Physical Health: Charting a Course for the Future. Psychosomatic Medicine, 78, 114–119.Google Scholar
Cacioppo, J. T., Cacioppo, S., Capitanio, J., & Cole, S. (2015). The Neuroendocrinology of Social Isolation. Annual Review of Psychology, 66, 733–767.Google Scholar
Celano, C., Millstein, R., Bedoya, C., Healey, B., Roest, A., & Huffman, J. (2015). Association between Anxiety and Mortality in Patients with Coronary Artery Disease: A Meta-Analysis. American Heart Journal, 170, 1105–1115.CrossRefGoogle ScholarPubMed
Chen, E., & Miller, G. (2013). Socioeconomic Status and Health: Mediating and Moderating Factors. Annual Review of Clinical Psychology, 9, 723–749.Google Scholar
Chiang, J., Turiano, N., Mroczek, D., & Miller, G. (2018). Affective Reactivity to Daily Stress and 20-Year Mortality Risk in Adults with Chronic Disease: Findings from the National Study of Daily Experience. Health Psychology, 37, 170–178.Google Scholar
Chida, Y., & Hamer, M. (2008a). Chronic Psychosocial Factors and Acute Physiological Responses to Laboratory-Induced Stress in Healthy Populations: A Quantitative Review of 30 Years of Investigations. Psychological Bulletin, 134, 829–884.Google Scholar
Chida, Y., & Hamer, M. (2008b). An Association of Adverse Psychosocial Factors with Diabetes Mellitus: A Meta-Analytic Review of Longitudinal Cohort Studies. Diabetologia, 51, 2168–2178.Google Scholar
Chida, Y., & Steptoe, A. (2009). The Association of Anger and Hostility with Future Coronary Heart Disease: A Meta-Analytic Review of Prospective Evidence. Journal of the American College of Cardiology, 53, 774–778.Google Scholar
Chida, Y., & Steptoe, A. (2010). Greater Cardiovascular Responses to Laboratory Mental Stress Are Associated with Poor Subsequent Cardiovascular Risk Status: A Meta-Analysis of Prospective Evidence. Hypertension, 55, 1026–1032.Google Scholar
Chida, Y., & Vedhara, K. (2009). Adverse Psychosocial Factors Predict Poorer Prognosis in HIV Disease: A Meta-Analytic Review of Prospective Investigations. Brain, Behavior, and Immunity, 23, 434–445.CrossRefGoogle ScholarPubMed
Chida, Y., Hamer, M., Wardle, J., & Steptoe, A. (2008). Do Stress-Related Psychosocial Factors Contribute to Cancer Incidence and Survival? Nature Clinical Practice: Oncology, 5, 466–475.Google Scholar
Christenfeld, N. J. S., Sloan, R. P., Carroll, D., & Greenland, S. (2004). Risk Factors, Confounding, and the Illusion of Statistical Control. Psychosomatic Medicine, 66, 868–875.Google Scholar
Cole, S. W. (2008). Psychosocial Influences on HIV-1 Disease Progression: Neural, Endocrine, and Virologic Mechanisms. Psychosomatic Medicine, 70, 562–568.Google Scholar
Connelly, B. S., & Ones, D. S. (2010). An Other Perspective on Personality: Meta-Analytic Integration of Observers’ Accuracy and Predictive Validity. Psychological Bulletin, 136, 1092–1122.Google Scholar
Davidson, K. W., Trudeau, K. J., Ockene, J. K., Orleans, C. T., & Kaplan, R. M. (2004). A Primer on Current Evidence-Based Review Systems and Their Implications for Behavioral Medicine. Annals of Behavioral Medicine, 28, 226–238.Google Scholar
De Miranda Azevedo, R., Roest, A., Carney, R., Denollet, J., Freedland, K., Grace, S., … De Jonge, P. (2016). A Bifactor Model of the Beck Depression Inventory and Its Association with Medical Prognosis after Myocardial Infarction. Health Psychology, 35, 614–624.CrossRefGoogle ScholarPubMed
Diez Roux, A. V., & Mair, C. (2010). Neighborhoods and Health. Annals of the New York Academy of Sciences, 1186, 125–145.Google Scholar
Dixon, K. E. (2016). Pain and Pain Behavior. In Benyamini, Y., Johnston, M., & Karademas, E. (Eds.), Assessment in Health Psychology (pp. 147–159). Gottingen: Hogrefe.Google Scholar
Edmondson, D., Kronish, I., Shaffer, J., Falzon, L., & Burg, M. (2013a). Posttraumatic Stress Disorder and Risk for Coronary Heart Disease: A Meta-Analytic Review. American Heart Journal, 166, 806–814.CrossRefGoogle ScholarPubMed
Edmondson, D., Shaffer, J., Chaplin, W., Burg, M., Stone, A., & Schwartz, J. (2013b). Trait Anxiety and Trait Anger Measured by Ecological Momentary Assessment and Their Correspondence with Traditional Trait Questionnaires. Journal of Research in Personality, 47, 843–852.Google Scholar
Eller, N. H., Netterstrom, B., Gyntelberg, F., Kristensen, T., Nielsen, F., Steptoe, A., & Theorell, T. (2009). Work-Related Psychosocial Factors and the Development of Ischemic Heart Disease: A Systematic Review. Cardiology Reviews, 17, 83–97.Google Scholar
Emery, R. L., & Levine, M. D. (2017). Questionnaire and Behavioral Task Measures of Impulsivity Are Differentially Associated with Body Mass Index: A Comprehensive Meta-Analysis. Psychological Bulletin, 143, 868–902.Google Scholar
Engel, G. L. (1977). The Need for a New Medical Model: A Challenge for Biomedicine. Science, 196, 129–136.CrossRefGoogle Scholar
Engel, G. L. (1980). The Clinical Application of the Biopsychosocial Model. American Journal of Psychiatry, 137, 535–544.Google Scholar
Evans, G. W., Li, D., & Whipple, S. (2013). Cumulative Risk and Child Development. Psychological Bulletin, 139, 1342–1396.Google Scholar
Fiscella, K., & Sanders, M. (2016). Racial and Ethnic Disparities in the Quality of Health Care. Annual Review of Public Health, 37, 375–394.CrossRefGoogle ScholarPubMed
Fisher, E. B., Fitzgibbons, M. L., Glasgow, R. E., Haire-Joshu, D., Hayman, L. L., Kaplan, R. M., … Okene, J. K. (2011). Behavior Matters. American Journal of Preventive Medicine, 40(5), e15‒e30.Google Scholar
France, C. R., Masters, K. S., Belar, C. D., Kerns, R. D., Klonoff, E. A., Larkin, K. T., … Thorn, B. E. (2008). Application of the Competency Model to Clinical Health Psychology. Professional Psychology: Research and Practice, 39, 573–580.Google Scholar
Freedland, K. E., Mohr, D. C., Davidson, K. W., & Schwartz, J. E. (2011). Usual and Unusual Care: Existing Practice Control Groups in Randomized Controlled Trials of Behavioral Interventions. Psychosomatic Medicine, 73, 323–325.Google Scholar
Friedman, H. S., & Adler, N. E. (2011). The Intellectual Roots of Health Psychology. In Friedman, H. S. (Ed.), The Oxford Handbook of Health Psychology (pp. 3–14). New York: Oxford University Press.Google Scholar
Friedman, M., Thoreson, C. E., Gill, J. J., Ulmer, D., Powell, L. H., Price, V. … Dixon, T. (1986). Alteration of Type A Behavior and Its Effects on Cardiac Recurrences in Post Myocardial Infarction Patients: Summary of Results of the Recurrent Coronary Prevention Project. American Heart Journal, 112, 653–665.Google Scholar
Gage, S. H., Munafo, M., & Davey Smith, G. (2016). Causal Inference in Developmental Origins of Health and Disease (DOHaD) Research. Annual Review of Psychology, 67, 567–585.Google Scholar
Gallo, L. C., & Smith, T. W. (1999). Patterns of Hostility and Social Support: Conceptualizing Psychosocial Risk Factors as Characteristics of the Person and the Environment. Journal of Research in Personality, 33, 281–310.Google Scholar
Gianaros, P. J., Sheu, L., Uyar, F., Koushik, J., Jennings, J. R., … Vertynen, T. (2017). A Brain Phenotype for Stressor-Related Blood Pressure Reactivity. Journal of the American Heart Association, 6, e006053.CrossRefGoogle Scholar
Goldstein, C. M., Minges, K., Schoffman, D., & Cases, M. (2017). Preparing Tomorrow’s Behavioral Medicine Scientists and Practitioners: A Survey of Future Directions for Education and Training. Journal of Behavioral Medicine, 40, 214–226.Google Scholar
Grande, G., Romppel, M., & Barth, J. (2012). Association between Type D Personality and Prognosis in Patients with Cardiovascular Diseases: A Systematic Review and Meta-Analysis. Annals of Behavioral Medicine, 43, 299–310.Google Scholar
Grossardt, B. R., Bower, J. H., Geda, Y. F., Colligan, R. C., & Rocca, W. A. (2009). Pessimistic, Anxious, and Depressive Personality Traits Predict All-Cause Mortality: The Mayo Clinical Cohort Study of Personality and Aging. Psychosomatic Medicine, 71, 491–500.Google Scholar
Gulliksson, M., Burrell, G., Vessby, B., Lundin, L., Toss, H., & Svardsudd, K. (2011). Randomized Controlled Trial of Cognitive Behavior Therapy vs. Standard Treatment to Prevent Recurrent Cardiovascular Events in Patients with Coronary Heart Disease: Secondary Prevention in Uppsala Primary Care Project (SUPRIM). Archives of Internal Medicine, 171, 134–140.Google Scholar
Hall, M. H., Brindle, R. C., & Buysse, D. J. (2018). Sleep and Cardiovascular Disease: Emerging Opportunities for Psychology. American Psychologist, 73, 994–1006.CrossRefGoogle ScholarPubMed
Helgeson, V. S., & Zajdel, M. (2017). Adjusting to Chronic Health Conditions. Annual Review of Psychology, 68, 545–571.Google Scholar
Holt-Lunstad, J. (2018). Why Social Relationships Are Important for Physical Health: A Systems Approach to Understanding and Modifying Risk and Protection. Annual Review of Psychology, 69, 437–458.Google Scholar
Huey, S., Tilley, J., Jones, E., & Smith, C. (2014). The Contribution of Cultural Competence to Evidence-Based Care for Ethnically Diverse Populations. Annual Review of Clinical Psychology, 10, 305–338.Google Scholar
Idler, E. L., & Benyamini, Y. (1997). Self-Rated Health and Mortality: A Review of Twenty-Seven Community Studies. Journal of Health and Social Behavior, 38, 21–37.Google Scholar
Inauen, J., Shrout, P., Bolger, N., Stadler, G., & Scholz, U. (2016). Mind the Gap? An Intensive Longitudinal Study of Between-Person and Within-Person Intention-Behavior Relations. Annals of Behavioral Medicine, 50, 516–522.Google Scholar
Irwin, M. R. (2015). Why Sleep Is Important for Health: A Psychoneuroimmunology Perspective. Annual Review of Psychology, 66, 143–172.Google Scholar
Jakubowski, K. P., Cundiff, J. M., & Matthews, K. A. (2018). Cumulative Childhood Adversity and Adult Cardiometabolic Disease: A Meta-Analysis. Health Psychology, 37, 701–715.Google Scholar
John-Henderson, N., Kamarck, T., Muldoon, M., & Manuck, S. (2016). Early Life Family Conflict, Social Interactions, and Carotid Artery Intima-Media Thickness in Adulthood. Psychosomatic Medicine, 78, 319–326.Google Scholar
Jones, M. J., Moore, S., & Kobor, M. (2018). Principles and Challenges of Applying Epigenetic Epidemiology to Psychology. Annual Review of Psychology, 69, 459–485.Google Scholar
Joseph, N. T., Kamarck, T. W., Muldoon, M. F., & Manuck, S. B. (2014). Daily Marital Interaction Quality and Carotid Artery Intima-Medial Thickness in Healthy Middle-Aged Adults. Psychosomatic Medicine, 76, 347–354.Google Scholar
Kamarck, T. W., Schwartz, J., Shiffman, S., Muldoon, M., Sutten-Tyrrell, K., & Janicki, D. (2005). Psychosocial Stress and Cardiovascular Risk: What Is the Role of Daily Experience? Journal of Personality, 73, 1749–1774.Google Scholar
Kamarck, T. W., Li, X., Wright, A. G. C., Muldoon, M., & Manuck, S. (2018). Ambulatory Blood Pressure Reactivity as a Moderator in the Association between Daily Life Psychosocial Stress and Carotid Artery Atherosclerosis. Psychosomatic Medicine, 80, 774–782.Google Scholar
Kaplan, R. M., & Groessl, E. J. (2002). Applications of Cost-Effectiveness Methodologies in Behavioral Medicine. Journal of Consulting and Clinical Psychology, 70, 482–493.Google Scholar
Karmeniemi, M., Lankila, T., Ikaheimo, T., Koivumaa-Honkanen, H., & Korpelainen, R. (2018). The Built Environment as a Determinant of Physical Activity: A Systematic Review of Longitudinal Studies and Natural Experiments. Annals of Behavioral Medicine, 52, 239–251.Google Scholar
Kelly, S., & Ismail, M. (2015). Stress and Type 2 Diabetes: A Review of How Stress Contributes to the Development of Type 2 Diabetes. Annual Review of Public Health, 36, 441–462.Google Scholar
Kent de Grey, R., Uchino, B. N., Trettvik, R., Cronan, S., & Hogan, J. (2018). Social Support and Sleep: A Meta-Analysis. Health Psychology, 37, 787–798.Google Scholar
Kivimaki, M., Nyberg, S. T., Batty, G. D., Fransson, E. I., Heikkla, K., Alfredsson, L., … Theorell, T. (2013). Job Strain as a Risk Factor for Coronary Heart Disease: A Collaborative Meta-Analysis of Individual Participant Data. Lancet, 380, 1491–1497.Google Scholar
Klahr, A., & Burt, S. A. (2014). Elucidating the Etiology of Individual Differences in Parenting: A Meta-Analysis of Behavioral Genetics Research. Psychological Bulletin, 140, 544–586.CrossRefGoogle Scholar
Knol, M. J., Twisk, J. W. R., Beekman, A. T. F., Heine, R. J., Snoek, F. J., & Fouwer, F. (2006). Depression as a Risk Factor for the Onset of Type 2 Diabetes Mellitus. A Meta-Analysis: Diabetologia, 49, 837–845.Google Scholar
Larkin, K. T., & Klonoff, E. A. (2014). Specialty Competencies in Clinical Health Psychology. New York: Oxford University Press.Google Scholar
Lewis, T. T., Cogburn, C., & Williams, D. (2015). Self-Reported Experiences of Discrimination and Health: Scientific Advances, Ongoing Controversies, and Emerging Issues. Annual Review of Clinical Psychology, 11, 407–440.Google Scholar
Lovallo, W. R. (2015). Stress and Health: Biological and Psychological Interactions (3rd edn.). Thousand Oaks, CA: Sage.Google Scholar
Luechen, L. J., & Gallo, L. C. (Eds.). (2008). Handbook of Physiological Research Methods in Health Psychology. Los Angeles: Sage.Google Scholar
Lutgendorf, S., & Andersen, B. (2015). Biobehavioral Approaches to Cancer Progression and Survival: Mechanisms and Interventions. American Psychologist, 70, 186–197.Google Scholar
Lynam, D. R., Hoyle, R. H., & Newman, J. P. (2006). The Perils of Partialling: Cautionary Tales from Aggression and Psychopathy. Assessment, 12, 328–341.Google Scholar
Manuck, S. B., & McCaffery, J. M. (2014). Gene-Environment Interaction. Annual Review of Psychology, 65, 41–70.Google Scholar
Matarazzo, J. D. (1980). Behavioral Health and Behavioral Medicine: Frontiers for a New Health Psychology. American Psychologist, 35, 807–817.Google Scholar
Mausbach, B. T., Bos, T., & Irwin, S. (2018). Mental Health Treatment Dose and Annual Healthcare Costs in Patients with Cancer and Major Depressive Disorder. Health Psychology, 37, 1035–1040.Google Scholar
McAdams, T., Neiderhiser, J., Rijsdijk, F., Narusyte, J., Lichtenstein, P., & Eley, T. (2014). Accounting for Genetic and Environmental Confounds in Associations between Parent and Child Characteristics: A Systematic Review of Children of Twins Studies. Psychological Bulletin, 140, 1138–1173.Google Scholar
McEwen, B. S. (1998). Stress, Adaptation, and Disease. Allostasis and Allostatic Load: Annals of the New York Academy of Sciences, 840, 33–44.Google Scholar
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. British Medical Journal, 339, b2535.Google Scholar
Molenaar, P., & Campbell, C. (2009). The New Person-Specific Paradigm in Psychology. Current Directions in Psychological Science, 18, 112–117.Google Scholar
Newman, J. D., Davidson, K. W., Shaffer, J. A., Schwartz, J. E., Chaplin, W., Kirkland, S., & Shimbo, D. (2011). Observed Hostility and the Risk of Incident Ischemic Heart Disease: A Prospective Population Study from the 1995 Canadian Nova Scotia Health Survey. Journal of the American College of Cardiology, 58, 1222–1228.Google Scholar
Nuru-Jeter, A. M., Michaels, E., Thomas, M., Reeves, A., Thorpe, R., & LaVeist, T. (2018). Relative Roles of Race versus Socioeconomic Position in Studies of Health Inequalities: A Matter of Interpretation. Annual Review of Public Health, 39, 169–188.Google Scholar
Ottaviani, C., Thayer, J. F., Verkuil, B., Lonigro, A., Medea, B., Couyoumdjian, A., & Brosschot, J. F. (2016). Physiological Concomitants of Perseverative Cognition: A Systematic Review and Meta-Analysis. Psychological Bulletin, 142, 231–259.Google Scholar
Passhier, J., & Busschbach, J. (2015). Quality of Life. In Andrasik, F., Goodie, J. L., and Peterson, A. L. (Eds.), Biopsychosocial Assessment in Clinical Health Psychology (pp. 182–194). New York: Guilford Press.Google Scholar
Phillips, A. N., & Davey Smith, G. (1991). Bias in Relative Odds Estimation Owing to Imprecise Measurement of Correlated Exposures. Statistics in Medicine, 11, 953–961.Google Scholar
Pincus, A. L., & Ansell, E. B. (2013). Interpersonal Theory of Personality. In Millon, T. & Lerner, M. J. (Eds.), Handbook of Psychology (Vol. 5): Personality and Social Psychology (2nd edn., pp. 141–159). New York: John Wiley.Google Scholar
Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. (2012). Sources of Method Bias in Social Science Research and Recommendations on How to Control It. Annual Review of Psychology, 63, 539–569.Google Scholar
Pressman, S. D., Kenkins, B., & Moskowitz, J. (2019). Positive Affect and Health: What Do We Know and Where Should We Go? Annual Review of Psychology, 70, 627–650.Google Scholar
Reavell, J., Hopkinson, M., Clarkesmith, D., & Lane, D. (2018). Effectiveness of Cognitive Behavioral Therapy for Depression and Anxiety in Patients with Cardiovascular Disease: A Systematic Review and Meta-Analysis. Psychosomatic Medicine, 80, 742–753.Google Scholar
Robles, T. F., Slatcher, R. B., Trombello, J. M., & McGinn, M. M. (2014). Marital Quality and Health: A Meta-Analytic Review. Psychological Bulletin, 140, 140–187.Google Scholar
Roest, A., Martens, E., de Jong, P., & Denollet, J. (2010). Anxiety and Risk of Incident Coronary Heart Disease: A Meta-Analysis. Journal of the American College of Cardiology, 56, 38–46.CrossRefGoogle ScholarPubMed
Ryff, C. D., & Singer, B. (1998). The Contours of Positive Human Health. Psychological Inquiry, 9, 1–28.Google Scholar
Sackett, D., Rosenberg, W., Muir Gray, J., Haynes, R., & Richardson, W. (1996). Evidence Based Medicine: What It Is and What It Isn’t. British Medical Journal, 312, 71–72.CrossRefGoogle ScholarPubMed
Schwartz, G. E., & Weiss, S. M. (1978). Behavioral Medicine Revisited: An Amended Definition. Journal of Behavioral Medicine, 1, 249–251.Google Scholar
Siddaway, A. P., Wood, A., & Hedges, L. (2019). How to Do a Systematic Review: A Best Practice Guide for Conducting and Reporting Narrative Reviews, Meta-Analyses, and Meta-Syntheses. Annual Review of Psychology, 70, 747–770.Google Scholar
Simon, G. E., Katon, W. J., Lin, E. H., Rutter, C., Manning, W. G., Von Korff, M. … Young, B. A. (2007). Cost-Effectiveness of Systematic Depression Treatment among People with Diabetes Mellitus. Archives of General Psychiatry, 64, 65–72.Google Scholar
Sleep, C. E., Lynam, D. R., Hyatt, C. S., & Miller, J. D. (2017). Perils of Partialing Redux: The Case of the Dark Triad. Journal of Abnormal Psychology, 126, 939–950.Google Scholar
Smith, T. W. (2010). Conceptualization, Measurement, and Analysis of Negative Affective Risk Factors. In Steptoe, A. (Ed.), Handbook of Behavioral Medicine Research: Methods and Applications (pp. 155–168). New York: Springer.Google Scholar
Smith, T. W. (2011a). Measurement in Health Psychology Research. In Friedman, H. S. (Ed.), Oxford Handbook of Health Psychology (pp. 42–72). New York: Oxford University Press.Google Scholar
Smith, T. W. (2011b). Toward a More Systematic, Cumulative, and Applicable Science of Personality and Health: Lessons from Type D. Psychosomatic Medicine, 73, 528–532.Google Scholar
Smith, T. W., & Baucom, B. R. W. (2017). Intimate Relationships, Individual Adjustment, and Coronary Heart Disease: Implications of Overlapping Associations in Psychosocial Risk. American Psychologist, 72, 578–589.Google Scholar
Smith, T. W., & Gerin, W. (1998). The Social Psychophysiology of Cardiovascular Response: An Introduction to the Special Issue. Annals of Behavioral Medicine, 20, 243–246.Google Scholar
Smith, T. W., & Williams, P. G. (1992). Personality and Health: Advantages and Limitations of the Five Factor Model. Journal of Personality, 60, 395–423.Google Scholar
Smith, T. W., Uchino, B. N., Berg, C. A., Florsheim, P., Pearce, G., Hawkins, M., … Yoon, H. C. (2008). Associations of Self-Reports versus Spouse Ratings of Negative Affectivity, Dominance and Affiliation in Coronary Artery Disease: Where Should We Look and Who Should We Ask when Studying Personality and Health? Health Psychology, 27, 676–684.Google Scholar
Smith, T. W., Traupman, E., Uchino, B. N., & Berg, C. (2010). Interpersonal Circumplex Descriptions of Psychosocial Risk Factors for Physical Illness: Application to Hostility, Neuroticism, and Marital Adjustment. Journal of Personality, 78, 1011–1036.Google Scholar
Smith, T. W., Uchino, B. N., Florsheim, P., Berg, C. A., Butner, J., Hawkins, M., … Yoon, H. C. (2011). Affiliation and Control during Marital Disagreement, History of Divorce, and Asymptomatic Coronary Artery Calcification in Older Couples. Psychosomatic Medicine, 73, 350–357.Google Scholar
Smith, T. W., Ruiz, J. M., Cundiff, J. M., Baron, K. G., & Nealey-Moore, J. B. (2013). Optimism and Pessimism in Social Context: An Interpersonal Perspective on Resilience and Risk. Journal of Research in Personality, 47, 553–562.Google Scholar
Smith, T. W., Baron, C., & Grove, J. (2014). Personality, Emotional Adjustment, and Cardiovascular Risk: Marriage as a Mechanism. Journal of Personality, 82, 502–514.Google Scholar
Stanton, A. L., Rowland, J. H., & Ganz, P. A. (2015). Life after Diagnosis and Treatment of Cancer in Adulthood: Contributions from Psychosocial Oncology Research. American Psychologist, 70, 159–174.Google Scholar
Stephan, Y., Sutin, A., Bayard, S., Krizan, Z., & Terracciano, A. (2018a). Personality and Sleep Quality: Evidence from Four Prospective Studies. Health Psychology, 37, 271–281.Google Scholar
Stephan, Y., Sutin, A., & Terracciano, A. (2018b). Subjective Age and Mortality in Three Longitudinal Samples. Psychosomatic Medicine, 80, 659–664.Google Scholar
Steptoe, A., & Kivimaki, M. (2013). Stress and Cardiovascular Disease: An Update on Current Knowledge. Annual Review of Public Health, 34, 337–354.CrossRefGoogle ScholarPubMed
Stuart-Shor, J., Berra, K. A., Kamau, M. W., & Kumanyika, S. K. (2012). Behavioral Strategies for Cardiovascular Risk Reduction in Diverse and Underserved Racial/Ethnic Groups. Circulation, 125, 171–184.Google Scholar
Strauss, M. E., & Smith, G. T. (2009). Construct Validity: Advances in Theory and Methodology. Annual Review of Clinical Psychology, 5, 1–25.Google Scholar
Sutin, A. R., Stephan, Y., Luchetti, M., Artese, A., Oshio, A., & Terracciano, A. (2016). The Five-Factor Model of Personality and Physical Inactivity: A Meta-Analysis of 16 Samples. Journal of Research in Personality, 63, 22–28.Google Scholar
Turiano, N., Chapman, B., Gruenwald, T., & Mroczek, D. (2015). Personality and the Leading Behavioral Contributors of Mortality. Health Psychology, 34, 51–60.Google Scholar
Uchino, B. N., & Way, B. (2017). Integrative Pathways Linking Close Family Ties to Health: A Neurochemical Perspective. American Psychologist, 72, 590–600.CrossRefGoogle Scholar
Von Bertalanffy, L. (1968). General Systems Theory. New York: Braziller.Google Scholar
Von Elm, E., Altman, D., Egger, M., Popcock, S., Getzche, P., & Vanderbroucke, J. (2007). STrengthening the Reporting of OBservational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies. British Medical Journal, 335, 806–808.Google Scholar
Wachtel, P. L. (1973). Psychodynamics, Behavior Therapy, and the Implacable Experimenter: An Inquiry in to the Consistency of Personality. Journal of Abnormal Psychology, 82, 324–334.CrossRefGoogle Scholar
Whitfield, K. E., Weidner, G., Clark, R., & Anderson, N. B. (2002). Sociodemographic Diversity and Behavioral Medicine. Journal of Consulting and Clinical Psychology, 70, 463–481.CrossRefGoogle ScholarPubMed
Wiley, J., Bei, B., & Bower, J. (2017). Relationship of Psychosocial Resources with Allostatic Load: A Systematic Review. Psychosomatic Medicine, 79, 283–292.Google Scholar
Williams, P. G., & Thayer, J. F. (2009). Executive Functioning and Health: Introduction to the Special Series. Annals of Behavioral Medicine, 37, 101–105.Google Scholar
Williams, P. G., Smith, T. W., Gunn, H. E., & Uchino, B. N. (2011). Personality and Stress: Individual Differences in Exposure, Reactivity, Recovery, and Restoration. In Contrada, R. & Baum, A. (Eds.), Handbook of Stress Science: Biology, Psychology, and Health (pp. 231–245). New York: Springer.Google Scholar
Williams, P. G., Rao, H., Suchy, Y., Thorgusen, S., & Smith, T. W. (2017). On the Validity of Self-Report Assessment of Cognitive Abilities: Attentional Control Scale Associations with Cognitive Performance, Emotional Adjustment, and Personality. Psychological Assessment, 29, 519–530.Google Scholar
Wilson, S., Stroud, C., & Durbin, C. E. (2017). Interpersonal Dysfunction in Personality Disorders: A Meta-Analytic Review. Psychological Bulletin, 143, 677–734.Google Scholar
Winning, A., McCormick, M., Glymour, M., Gilsanz, P., & Kubzansky, L. (2018). Childhood Psychological Distress and Health Cardiovascular Lifestyle 17‒35 Years Later: The Potential Role of Mental Health in Primordial Prevention. Annals of Behavioral Medicine, 52, 621–632.Google Scholar
Zawadzki, M. J., Smyth, J. M., Sliwinski, M., Ruiz, J. M., & Gerin, W. (2017). Revisiting the Lack of Association between Affect and Physiology: Contrasting Between-Person and Within-Person Analyses. Health Psychology, 36, 811–818.Google Scholar

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