Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
Hostname: page-component-cd9895bd7-dk4vv Total loading time: 0 Render date: 2024-12-27T14:39:34.602Z Has data issue: false hasContentIssue false

Part V - Intervention Approaches

Published online by Cambridge University Press:  23 March 2020

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
Get access

Summary

A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Chapter
Information
The Cambridge Handbook of Research Methods in Clinical Psychology , pp. 265 - 298
Publisher: Cambridge University Press
Print publication year: 2020

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

References

Almirall, D., Nahum-Shani, I., Sherwood, N. E., & Murphy, S. A. (2014). Introduction to SMART Designs for the Development of Adaptive Interventions: With Application to Weight Loss Research. Translational Behavioral Medicine, 4(3), 260–274.Google Scholar
Baker, T. B., Collins, L. M., Mermelstein, R., Piper, M. E., Schlam, T. R., Cook, J. W., … Fiore, M. C. (2015). Enhancing the Effectiveness of Smoking Treatment Research: Conceptual Bases and Progress. Addiction, 111, 107–116.Google Scholar
Barth, R. P., Lee, B. R., Lindsey, M. A., Collins, K. S., Strieder, F., Chorpita, B. F., … Sparks, J. A. (2012). Evidence-Based Practice at a Crossroads: The Timely Emergence of Common Elements and Common Factors. Research on Social Work Practice, 22(1), 108–119.Google Scholar
Beck, A. T., Rush, A. J., Shaw, B. F., & Emery, G. (1979). Cognitive Therapy of Depression. New York: Guilford.Google Scholar
Becker, K. D., Lee, B. R., Daleiden, E. L., Lindsey, M., Brandt, N. E., & Chorpita, B. F. (2015). The Common Elements of Engagement in Children’s Mental Health Services: Which Elements for Which Outcomes? Journal of Clinical Child & Adolescent Psychology, 44(1), 30–43.Google Scholar
Berkowitz, S. J., Stover, C. S., & Marans, S. R. (2011). The Child and Family Traumatic Stress Intervention: Secondary Prevention for Youth at Risk of Developing PTSD. Journal of Child Psychology and Psychiatry and Allied Disciplines, 52(6), 676–685.Google Scholar
Boustani, M. M., Gellatly, R., Westman, J. G., & Chorpita, B. F. (2017). Advances in Cognitive Behavioral Treatment Design: Time for a Glossary. The Behavior Therapist, 40(6), 199–208.Google Scholar
Caldwell, L. L., Smith, E. a., Collins, L. M., Graham, J. W., Lai, M., Wegner, L., … Jacobs, J. (2012). Translational Research in South Africa: Evaluating Implementation Quality Using a Factorial Design. Child & Youth Care Forum, 41(2), 119–136.Google Scholar
Carrion, V. G., Weems, C. F., Ray, R. D., Glaser, B., Hessl, D., & Reiss, A. L. (2002). Diurnal Salivary Cortisol in Pediatric Posttraumatic Stress Disorder. Biological Psychiatry, 51(7), 575–582.Google Scholar
Chorpita, B. F., & Daleiden, E. L. (2009). Mapping Evidence-Based Treatments for Children and Adolescents: Application of the Distillation and Matching Model to 615 Treatments from 322 Randomized Trials. Journal of Consulting and Clinical Psychology, 77(3), 566–579.Google Scholar
Chorpita, B. F., Becker, K. D., Daleiden, E. L., & Hamilton, J. D. (2007). Understanding the Common Elements of Evidence-Based Practice. Journal of the American Academy of Child & Adolescent Psychiatry, 46(5), 647–652.Google Scholar
Chorpita, B. F., Daleiden, E. L., Ebesutani, C. K., Young, J., Becker, K. D., Nakamura, B. J., … Starace, N. (2011). Evidence-Based Treatments for Children and Adolescents: An Updated Review of Indicators of Efficacy and Effectiveness. Clinical Psychology: Science and Practice, 18(2), 154–172.Google Scholar
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd edn.). London: Routledge.Google Scholar
Cohen, J. A., Mannarino, A. P., & Deblinger, E. (2006). Treating Trauma and Traumatic Grief in Children and Adolescents. New York: Guilford Press.Google Scholar
Collins, L. M. (2014). Optimizing Family Intervention Programs: The Multiphase Optimization Strategy (MOST). In McHale, S. M., Amato, P., & Booth, A. (Eds.), Emerging Methods in Family Research (pp. 19–37). Basel: Springer International.Google Scholar
Collins, L. M. (2018). Optimization of Behavioral, Biobehavioral, and Biomedical Interventions: The Multiphase Optimization Strategy (MOST). New York: Springer.Google Scholar
Collins, L. M., & Kugler, K. C. (Eds.). (2018). Optimization of Multicomponent Behavioral, Biobehavioral, and Biomedical Interventions: Advanced Topics. New York: Springer.Google Scholar
Collins, L. M., Dziak, J. J., & Li, R. (2009). Design of Experiments with Multiple Independent Variables: A Resource Management Perspective on Complete and Reduced Factorial Designs. Psychological Methods, 14(3), 202–224.Google Scholar
Collins, L. M., Baker, T. B., Mermelstein, R. J., Piper, M. E., Jorenby, D. E., Smith, S. S., … Fiore, M. C. (2011). The Multiphase Optimization Strategy for Engineering Effective Tobacco Use Interventions. Annals of Behavioral Medicine, 41(2), 208–226.Google Scholar
Collins, L. M., MacKinnon, D. P., & Reeve, B. B. (2013). Some Methodological Considerations in Theory-Based Health Behavior Research. Health Psychology, 32(5), 586–591.Google Scholar
Collins, L. M., Dziak, J. J., Kugler, K. C., & Trail, J. B. (2014a). Factorial Experiments: Efficient Tools for Evaluation of Intervention Components. American Journal of Preventive Medicine, 47(4), 498–504.Google Scholar
Collins, L. M., Nahum-Shani, I., & Almirall, D. (2014b). Optimization of Behavioral Dynamic Treatment Regimens Based on the Sequential, Multiple Assignment, Randomized Trial (SMART). Clinical Trials, 11(4), 426–434.Google Scholar
Collins, L. M., Trail, J. B., Kugler, K. C., Baker, T. B., Piper, M. E., & Mermelstein, R. J. (2014c). Evaluating Individual Intervention Components: Making Decisions Based on the Results of a Factorial Screening Experiment. Translational Behavioral Medicine, 4(3), 238–251.CrossRefGoogle ScholarPubMed
Cook, J. W., Collins, L. M., Fiore, M. C., Smith, S. S., Fraser, D., Bolt, D. M., … Mermelstein, R. (2016). Comparative Effectiveness of Motivation Phase Intervention Components for Use with Smokers Unwilling to Quit: A Factorial Screening Experiment. Addiction, 111(1), 117–128.Google Scholar
Copeland, W. E., Keeler, G., Angold, A., & Costello, E. J. (2007). Traumatic Events and Posttraumatic Stress in Childhood. Archives of General Psychiatry, 64(5), 577–584.Google Scholar
Deblinger, E., Mannarino, A. P., Cohen, J. A., Runyon, M. K., & Steer, R. A. (2011). Trauma-Focused Cognitive Behavioral Therapy for Children: Impact of the Trauma Narrative and Treatment Length. Depression & Anxiety, 28(1), 67–75.CrossRefGoogle ScholarPubMed
Dimidjian, S., Hollon, S., Dobson, K., Schmaling, K., Kohlenberg, R., Addis, M., … Jacobson, N. (2006). Randomized Trial of Behavioral Activation, Cognitive Therapy, and Antidepressant Medication in the Acute Treatment of Adults with Major Depression. Journal of Consulting and Clinical Psychology, 74(4), 658–670.CrossRefGoogle ScholarPubMed
Dorsey, S., Mclaughlin, K. A., Kerns, S. E. U., Harrison, J. P., Lambert, H. K., Briggs, E. C., … Amaya-Jackson, L. (2017). Evidence Base Update for Psychosocial Treatments for Children and Adolescents Exposed to Traumatic Events. Journal of Clinical Child & Adolescent Psychology, 46(3), 303–330.Google Scholar
Dziak, J. J., Nahum-Shani, I., & Collins, L. M. (2012). Multilevel Factorial Experiments for Developing Behavioral Interventions: Power, Sample Size, and Resource Considerations. Psychological Methods, 17(2), 153–175.Google Scholar
Dziak, J. J., Collins, L. M., & Wagner, A. T. (2013). FactorialPowerPlan SAS Macro Suite Users’ Guide (No. 1.0). University Park: Methodology Center, Pennsylvania State University.Google Scholar
Foa, E. B., McLean, C. P., Capaldi, S., & Rosenfield, D. (2013). Prolonged Exposure vs. Supportive Counseling for Sexual Abuse-Related PTSD in Adolescent Girls: A Randomized Clinical Trial. JAMA, 310(24), 2650–2657.Google Scholar
Gwadz, M. V., Collins, L. M., Cleland, C. M., Leonard, N. R., Wilton, L., Gandhi, M., … Scott Braithwaite, R. (2017). Using the Multiphase Optimization Strategy (MOST) to Optimize an HIV Care Continuum Intervention for Vulnerable Populations: A Study Protocol. BMC Public Health, 17, 1–20.Google Scholar
Harris, P. A., Taylor, R., Thielke, R., Payne, J., Gonzalez, N., & Conde, J. G. (2009). Research Electronic Data Capture (REDCap) – A Metadata-Driven Methodology and Workflow Process for Providing Translational Research Informatics Support. Journal of Biomedical Informatics, 42(2), 377–381.Google Scholar
Hayes, A. M., Yasinski, C., Grasso, D., Ready, C. B., Alpert, E., McCauley, T., … Deblinger, E. (2017). Constructive and Unproductive Processing of Traumatic Experiences in Trauma-Focused Cognitive-Behavioral Therapy for Youth. Behavior Therapy, 48(2), 166–181.Google Scholar
Insel, T. R., & Gogtay, N. (2014). National Institute of Mental Health Clinical Trials: New Opportunities, New Expectations. JAMA Psychiatry, 71(7), 745–746.Google Scholar
Jacobson, N., Dobson, K., Truax, P., Addis, M., Koerner, K., Gollan, J., … Prince, S. (1996). A Component Analysis of Cognitive-Behavioral Treatment for Depression. Consulting and Clinical Psychology, 64(2), 295–304.CrossRefGoogle ScholarPubMed
Jacobson, N., Martell, C. R., & Dimidjian, S. (2001). Behavioral Activation Treatment for Depression: Returning to Contextual Roots. Clinical Psychology: Science and Practice, 8(3), 255–270.Google Scholar
Kahana, S. Y., Feeny, N. C., Youngstrom, E., & Drotar, D. (2006). Posttraumatic Stress in Youth Experiencing Illnesses and Injuries: An Exploratory Meta-Analysis. Traumatology, 12(2), 148–161.Google Scholar
Kugler, K. C., Balantekin, K. N., Birch, L. L., & Savage, J. S. (2016). Application of the Multiphase Optimization Strategy to a Pilot Study: An Empirical Example Targeting Obesity among Children of Low-Income Mothers. BMC Public Health, 16(1), 1181–1191.Google Scholar
Kugler, K. C., Wyrick, D. L., Tanner, A. E., Milroy, J. J., Chambers, B. D., Ma, A., … Collins, L. M. (2018). Using the Multiphase Optimization Strategy (MOST) to Develop an Optimized Online STI Preventive Intervention Aimed at College Students: Description of Conceptual Model and Iterative Approach to Optimization. In Collins, L. M. & Kugler, K. C. (Eds.), Optimization of Multicomponent Behavioral, Biobehavioral, and Biomedical Interventions: Advanced Topics (pp. 1–21). New York: Springer.Google Scholar
Lindsey, M. A., Brandt, N. E., Becker, K. D., Lee, B. R., Barth, R. P., Daleiden, E. L., & Chorpita, B. F. (2014). Identifying the Common Elements of Treatment Engagement Interventions in Children’s Mental Health Services. Clinical Child and Family Psychology Review, 17, 283–298.Google Scholar
MacKinnon, D. P., Fairchild, A. J., & Fritz, M. S. (2007). Mediation Analysis. Annual Review of Psychology, 58, 593–614.Google Scholar
Nahum-Shani, I., & Dziak, J. J. (2018). Multilevel Factorial Designs in Intervention Development. In Collins, L. M. & Kugler, K. C. (Eds.), Optimization of Multicomponent Behavioral, Biobehavioral, and Biomedical Interventions: Advanced Topics (pp. 47–87). New York: Springer.CrossRefGoogle Scholar
Nahum-Shani, I., Dziak, J. J., & Collins, L. M. (2017). Multilevel Factorial Designs with Experiment-Induced Clustering. Psychological Methods, 22(3), 458–479.Google Scholar
Nolen-Hoeksema, S., & Watkins, E. R. (2011). A Heuristic for Developing Transdiagnostic Models of Psychopathology: Explaining Multifinality and Divergent Trajectories. Perspectives on Psychological Science, 6(6), 589–609.Google Scholar
Pellegrini, C. A., Hoffman, S. A., Collins, L. M., & Spring, B. (2014). Optimization of Remotely Delivered Intensive Lifestyle Treatment for Obesity Using the Multiphase Optimization Strategy: Opt-IN Study Protocol. Contemporary Clinical Trials, 38(2), 251–259.Google Scholar
Piper, M. E., Fiore, M. C., Smith, S. S., Fraser, D., Bolt, D. M., Collins, L. M., … Baker, T. B. (2016). Identifying Effective Intervention Components for Smoking Cessation: A Factorial Screening Experiment. Addiction, 111(1), 129–141.Google Scholar
Piper, M. E., Schlam, T. R., Fraser, D., Oguss, M., & Cook, J. W. (2018). Implementing Factorial Experiments in Real-World Settings: Lessons Learned While Engineering an Optimized Smoking Cessation Treatment. In Collins, L. M. & Kugler, K. C. (Eds.), Optimization of Multicomponent Behavioral, Biobehavioral, and Biomedical Interventions: Advanced Topics (pp. 23–45). New York: Springer.Google Scholar
Sanislow, C. A., Pine, D. S., Quinn, K. J., Kozak, M. J., Garvey, M. A., Heinssen, R. K., … Cuthbert, B. N. (2010). Developing Constructs for Psychopathology Research: Research Domain Criteria. Journal of Abnormal Psychology, 119(4), 631–639.Google Scholar
Schlam, T. R., Fiore, M. C., Smith, S. S., Fraser, D., Bolt, D. M., Collins, L. M., … Baker, T. B. (2016). Comparative Effectiveness of Intervention Components for Producing Long-Term Abstinence from Smoking: A Factorial Screening Experiment. Addiction, 111(1), 142–155.Google Scholar
Shenk, C. E., Putnam, F. W., Rausch, J. R., Peugh, J. L., & Noll, J. G. (2014). A Longitudinal Study of Several Potential Mediators of the Relationship between Child Maltreatment and Posttraumatic Stress Disorder Symptoms. Development and Psychopathology, 26(1), 81–91.Google Scholar
Shenk, C. E., Griffin, A. M., & O’Donnell, K. J. (2015). Symptoms of Major Depressive Disorder Subsequent to Child Maltreatment: Examining Change across Multiple Levels of Analysis to Identify Transdiagnostic Risk Pathways. Development and Psychopathology, 27(4 pt 2), 1503–1514.CrossRefGoogle ScholarPubMed
Silverman, W. K., Ortiz, C. D., Viswesvaran, C., Burns, B. J., Kolko, D. J., Putnam, F. W., & Amaya-Jackson, L. (2008). Evidence-Based Psychosocial Treatments for Children and Adolescents Exposed to Traumatic Events. Journal of Clinical Child & Adolescent Psychology, 37(1), 156–183.Google Scholar
Steinberg, A. M., Brymer, M. J., Decker, K. B., & Pynoos, R. S. (2004). The University of California at Los Angeles Post-traumatic Stress Disorder Reaction Index. Current Psychiatry Reports, 6(2), 96–100.Google Scholar
Steinberg, A. M., Brymer, M. J., Kim, S., Briggs, E. C., Ippen, C. G., Ostrowski, S. A., … Pynoos, R. S. (2013). Psychometric Properties of the UCLA PTSD Reaction Index: Part I. Journal of Traumatic Stress, 26, 1–9.Google Scholar
Strecher, V. J., Mcclure, J. B., Alexander, G. L., Nair, V. N., Konkel, J. M., Greene, S. M., … Pomerleau, O. F. (2009). Web-Based Smoking-Cessation Program: Results of a Randomized Trial. American Journal of Preventive Medicine, 34(5), 373–381.Google Scholar
Trickett, P. K., Noll, J. G., Susman, E. J., Shenk, C. E., & Putnam, F. W. (2010). Attenuation of Cortisol across Development for Victims of Sexual Abuse. Development and Psychopathology, 22(1), 165–175.Google Scholar
US Department of Health & Human Services, Administration for Children and Families, Administration on Children Youth and Families, & Children’s Bureau. (2017). Child Maltreatment 2015. Retrieved from www.acf.hhs.gov/programs/cb/research-data-technology/statistics-research/child-maltreatmentGoogle Scholar
Widom, C. S. (1999). Posttraumatic Stress Disorder in Abused and Neglected Children Grown Up. American Journal of Psychiatry, 156(8), 1223–1229.Google Scholar
Wyrick, D. L., Rulison, K. L., Fearnow-Kenney, M., Milroy, J. J., & Collins, L. M. (2014). Moving beyond the Treatment Package Approach to Developing Behavioral Interventions: Addressing Questions That Arose during an Application of the Multiphase Optimization Strategy (MOST). Translational Behavioral Medicine, 4(3), 252–259.Google Scholar

References

American Psychiatric Association (APA). (1980). Diagnostic and Statistical Manual of Mental Disorders (3rd edn.). Washington, DC: APA.Google Scholar
American Psychiatric Association (APA). (2000). Diagnostic and Statistical Manual of Mental Disorders (4th edn., text rev.). Washington, DC: APA.Google Scholar
American Psychiatric Association (APA). (2013). Diagnostic and Statistical Manual of Mental Disorders (5th edn.). Washington, DC: APA.Google Scholar
Barlow, D. H. (1991). Disorders of Emotion. Psychological Inquiry, 2, 58–71.Google Scholar
Barlow, D. H. (1996). The Effectiveness of Psychotherapy: Science and Policy. Clinical Psychology: Science and Practice, 3, 236–240.Google Scholar
Barlow, D. H. (2004). Psychological Treatments. American Psychologist, 59, 869–878.Google Scholar
Barlow, D. H. (2008). Clinical Handbook of Psychological Disorders: A Step-by-Step Treatment Manual (4th edn.). London: Oxford University Press.Google Scholar
Barlow, D. H., & Craske, M. G. (2007). Mastery of Your Anxiety and Panic (4th edn.) New York: Oxford University Press.Google Scholar
Barlow, D. H., Cohen, A. S., Waddell, M. T., Vermilyea, B. B., Klosko, J. S., Blanchard, E. B., & DiNardo, P. A. (1984). Panic and Generalized Anxiety Disorders: Nature and Treatment. Behavior Therapy, 15, 431–449.Google Scholar
Barlow, D. H., Craske, M. G., Cerny, J. A., & Klosko, J. S. (1989). Behavioral Treatment of Panic Disorder. Behavior Therapy, 20(2), 261–282.Google Scholar
Barlow, D. H., Gorman, J. M., Shear, M. K., & Woods, S. W. (2000). Cognitive-Behavioral Therapy, Imipramine, or Their Combination for Panic Disorder: A Randomized Controlled Trial. Journal of the American Medical Association, 283, 2529–2536.Google Scholar
Barlow, D. H., Nock, M., & Hersen, M. (2008). Single Case Research Designs: Strategies for Studying Behavior Change. New York: Allyn & Bacon.Google Scholar
Barlow, D. H., Sauer-Zavala, S., Carl, J. R., Bullis, J. R., & Ellard, K. E. (2014). The Nature, Diagnosis, and Treatment of Neuroticism: Back to the Future. Clinical Psychological Science, 2(3), 344–365.Google Scholar
Barlow, D. H., Farchione, T. J., Bullis, J. R., Gallagher, M. W., Murray-Latin, H., Sauer-Zavala, S., … Cassiello-Robbins, C. (2017). The Unified Protocol for Transdiagnostic Treatment of Emotional Disorders Compared with Diagnosis-Specific Protocols for Anxiety Disorders: A Randomized Clinical Trial. JAMA Psychiatry, 74(9), 875–884.Google Scholar
Barlow, D. H., Sauer-Zavala, S., Farchione, T. J., Latin, H., Ellard, K. K., Bullis, J. R., … Cassiello-Robbins, C. (2018). Unified Protocol for Transdiagnostic Treatment of Emotional Disorders: Patient Workbook. New York: Oxford University Press.Google Scholar
Boswell, J. F., Farchione, T. J., Sauer-Zavala, S., Murray, H. W., Fortune, M. R., & Barlow, D. H. (2013). Anxiety Sensitivity and Interoceptive Exposure: A Transdiagnostic Construct and Change Strategy. Behavior Therapy, 44(3), 417–431.Google Scholar
Boswell, J. F., Anderson, L. M., & Barlow, D. H. (2014). An Idiographic Analysis of Change Processes in the Unified Transdiagnostic Treatment of Depression. Journal of Consulting and Clinical Psychology, 82(6), 1060–1071.CrossRefGoogle ScholarPubMed
Brake, C. A., Sauer-Zavala, S., Boswell, J. F., Gallagher, M. W., Farchione, T. J., & Barlow, D. H. (2016). Mindfulness-Based Exposure Strategies as a Transdiagnostic Mechanism of Change: An Exploratory Alternating Treatment Design. Behavior Therapy, 47(2), 225–238.Google Scholar
Brown, T. A. & Barlow, D. H. (2009). A Proposal for a Dimensional Classification System Based on the Shared Features of the DSM-IV Anxiety and Mood Disorders: Implications for Assessment and Treatment. Psychological Assessment, 21(3), 256–271.CrossRefGoogle ScholarPubMed
Brown, T. A., Chorpita, B. F. & Barlow, D. H. (1998). Structural Relationships among Dimensions of the DSM-IV Anxiety and Mood Disorders and Dimensions of Negative Affect, Positive Affect, and Autonomic Arousal. Journal of Abnormal Psychology, 107, 179–192.Google Scholar
Brown, T. A., Campbell, L. A., Lehman, C. L., Grisham, J. R., & Mancill, R. B. (2001). Current and Lifetime Comorbidity of the DSM-IV Anxiety and Mood Disorders in a Large Clinical Sample. Journal of Abnormal Psychology, 110, 49–58.Google Scholar
Charles, C., Gafni, A., & Whelan, T. (1997). Shared Decision-Making in the Medical Encounter: What Does It Mean? (Or It Takes at Least Two to Tango). Social Science & Medicine (1982), 44(5), 681–692.Google Scholar
Cheavens, J. S., Strunk, D. R., Lazarus, S. A., & Goldstein, L. A. (2012). The Compensation and Capitalization Models: A Test of Two Approaches to Individualizing the Treatment of Depression. Behaviour Research and Therapy, 50(11), 699–706.Google Scholar
Chorpita, B. F., & Weisz, J. R. (2005). Modular Approach to Therapy for Children with Anxiety, Depression, or Conduct Problems. Honolulu: University of Hawaii at Manoa; Boston, MA: Harvard Medical School.Google Scholar
Chorpita, B. F., Taylor, A. A., Francis, S. E., Moffitt, C. E., & Austin, A. A. (2004). Efficacy of Modular Cognitive Behavior Therapy for Childhood Anxiety Disorders. Behavior Therapy, 35, 263–287.Google Scholar
Chorpita, B. F., Daleiden, E., & Weisz, J. (2005). Identifying and Selecting Common Elements of Evidence-Based Treatment: A Distillation and Matching Model. Mental Health Services Research, 7, 5–20.Google Scholar
Craske, M., & Barlow, D. H. (2006). Mastery of Your Anxiety and Worry (2nd edn.). New York: Oxford University Press.CrossRefGoogle Scholar
Craske, M. G., Farchione, T. J., Allen, L. B., Barrios, V., Stoyanova, M., & Rose, R. (2007). Cognitive Behavioral Therapy for Panic Disorder and Comorbidity: More of the Same or Less of More? Behaviour Research and Therapy, 45(6), 1095–1109.Google Scholar
Ellard, K. K., Fairholme, C. P., Boisseau, C. L., Farchione, T. J., & Barlow, D. H. (2010). Unified Protocol for the Transdiagnostic Treatment of Emotional Disorders: Protocol Development and Initial Outcome Data. Cognitive and Behavioral Practice, 17(1), 88–101.Google Scholar
Elwyn, G., Edwards, A., & Thompson, R. (Eds.). (2016). Shared Decision-Making in Health Care: Achieving Evidence-Based Patient Choice (3rd edn.). Oxford: Oxford University Press.Google Scholar
Fagerlin, A., Pignone, M., Abhyankar, P., Col, N., Feldman-Stewart, D., Gavaruzzi, T., … Witteman, H. O. (2013). Clarifying Values: An Updated Review. BMC Medical Informatics and Decision Making, 13(2), 2–8.Google Scholar
Fairburn, C. (2008). Cognitive Behavioral Therapy and Eating Disorders. New York: Guilford Press.Google Scholar
Fairburn, C. G., Peveler, R. C., Jones, R., Hope, R. A., & Doll, H. A. (1993). Predictors of 12 Month Outcome in Bulimia Nervosa and the Influence of Attitudes to Shape and Weight. Journal of Consulting and Clinical Psychology, 61(4), 696–698.CrossRefGoogle ScholarPubMed
Fairburn, C., Cooper, Z., & Shafran, R. (2003). Cognitive Behaviour Therapy for Eating Disorders: A “Transdiagnostic” Theory and Treatment. Behaviour Research and Therapy, 41(5), 509–528.Google Scholar
Fairburn, C.G., Cooper, Z. Doll, H. A., O’Connor, M. E., Bohn, K., Hawker, D. M., … Palmer, R. L. (2009). Transdiagnostic Cognitive-Behavioral Therapy for Patients with Eating Disorders: A Two-Site Trial with 60-Week Follow-Up. American Journal of Psychiatry, 166, 311–319.Google Scholar
Farchione, T. J., Fairholme, C. P., Ellard, K. K., Boisseau, C. L., Thompson-Hollands, J., Carl, J. R., … Barlow, D. H. (2012). Unified Protocol for Transdiagnostic Treatment of Emotional Disorders: A Randomized Controlled Trial. Behavior Therapy, 43(3), 666–678.Google Scholar
Foa, E. B., Yadin, E., & Lichner, T. K. (2008). Obsessive-Compulsive Disorder: A Cognitive Behavioral Therapy Approach. New York: Oxford University Press.Google Scholar
Gibbons, C. J., & DeRubeis, R. J. (2008). Anxiety Symptom Focus in Sessions of Cognitive Therapy for Depression. Behavior Therapy, 39, 117–125.Google Scholar
Greene, C. J., Morland, L. A., Durkalski, V. L., & Frueh, B. C. (2008). Noninferiority and Equivalence Designs: Issues and Implications for Mental Health Research. Journal of Traumatic Stress, 21(5), 433–439.Google Scholar
Harvey, A., Murray, G., Chandler, R., & Soehner, A. (2011). Sleep Disturbance as Transdiagnostic: Consideration of Neurobiological Mechanisms. Clinical Psychology Review, 31, 225–235.Google Scholar
Heimberg, R. G., Liebowitz, M. R., & Hope, D. A. (1998). Cognitive Behavioral Group Therapy versus Phenelzine Therapy for Social Phobia: 12-Week Outcome. Archives of General Psychiatry, 55, 1133–1141.CrossRefGoogle Scholar
Hollon, S. D., Thase, M. E., & Markowitz, J. C. (2002). Treatment and Prevention of Depression. Psychological Science in the Public Interest, 3, 39–77.Google Scholar
Hope, D. A., Heimberg, R. G., & Turk, C. L. (2006). Managing Social Anxiety: A Cognitive-Behavioral Therapy Approach: Therapist Guide. San Antonio, TX: Oxford University Press.Google Scholar
Hopwood, C. J., Thomas, K. M., Markon, K. E., Wright, A. G., & Krueger, R. F. (2012). DSM-5 Personality Traits and DSM-IV Personality Disorders. Journal of Abnormal Psychology, 121(2), 424–432.Google Scholar
Insel, T. R., & Gogtay, N. (2014). National Institute of Mental Health Clinical Trials: New Opportunities, New Expectations. JAMA Psychiatry, 71(7), 745–746.Google Scholar
Insel, T., Cuthbert, B., Garvey, M., Heinssen, R., Pine, D. S., Quinn, K., … & Wang, P. (2010). Research Domain Criteria (RDoC): Toward a New Classification Framework for Research on Mental Disorders. American Journal of Psychiatry, 167(7), 748–751.Google Scholar
Kazdin, A. E. (2007). Mediators and Mechanisms of Change in Psychotherapy Research. Annual Review of Clinical Psychology, 3(1), 1–27.Google Scholar
Kelly, J., Gooding, P., Pratt, D., Ainsworth, J., Welford, M., & Tarrier, N. (2012). Intelligent Real-Time Therapy: Harnessing the Power of Machine Learning to Optimise the Delivery of Momentary Cognitive-Behavioural Interventions. Journal of Mental Health, 21(4), 404–414.Google Scholar
Kessler, R. C., Nelson, C. B., McGonagle, K. A., Liu, J., Swartz, M., & Blazer, D. G. (1996). Comorbidity of DSM-III-R Major Depressive Disorder in the General Population: Results from the US National Comorbidity Survey. British Journal of Psychiatry. Supplement, (30), 17–30.CrossRefGoogle Scholar
Kessler, R. C., Stang, P. E., Wittchen, H. U., Ustun, T. B., Roy-Burne, P. P., & Walters, E. E. (1998). Lifetime Panic-Depression Comorbidity in the National Comorbidity Survey. Archives of General Psychiatry, 55(9), 801–808.Google Scholar
Kessler, R. C., van Loo, H. M., Wardenaar, K. J., Bossarte, R. M., Brenner, L. A., Cai, T., … & Nierenberg, A. A. (2016). Testing a Machine-Learning Algorithm to Predict the Persistence and Severity of Major Depressive Disorder from Baseline Self-Reports. Molecular Psychiatry, 21, 1366–1371.Google Scholar
Linehan, M. (1993). Cognitive-Behavioral Treatment of Borderline Personality Disorder. New York: Guilford Press.Google Scholar
Mansell, W., Harvey, A., Watkins, E., & Shafran, R. (2009). Conceptual Foundations of the Transdiagnostic Approach to CBT. Journal of Cognitive Psychotherapy, 23(1), 6–19.Google Scholar
McHugh, R. K., Murray, H. W., & Barlow, D. H. (2009). Balancing Fidelity and Adaptation in the Dissemination of Empirically-Supported Treatments: The Promise of Transdiagnostic Interventions. Behaviour Research and Therapy, 47(11), 946–953.Google Scholar
Murray, L. K., Dorsey, S., Haroz, E., Lee, C., Alsiary, M. M., Haydary, A., … & Bolton, P. (2013). A Common Elements Treatment Approach for Adult Mental Health Problems in Low-and Middle-Income Countries. Cognitive and Behavioral Practice, 21(2), 111–123.Google Scholar
Nathan, P. E., & Gorman, J. M. (Eds.). (2007). A Guide to Treatments That Work (3rd edn.). London: Oxford University Press.Google Scholar
Purdon, C. (1999). Thought Suppression and Psychopathology. Behaviour Research and Therapy, 37(11), 1029–1054.Google Scholar
Rapee, R. M., Kennedy, S., Ingram, M., Edwards, S., & Sweeney, L. (2005). Prevention and Early Intervention of Anxiety Disorders in Inhibited Preschool Children. Journal of Consulting and Clinical Psychology, 73(3), 488–497.Google Scholar
Rosellini, A. J., Boettcher, H., Brown, T. A., & Barlow, D. H. (2015) A Transdiagnostic Temperament-Phenotype Profile Approach to Emotional Disorder Classification: An Update. Psychopathological Review, 2, 110–128.Google Scholar
Rosellini, A. J., Lawrence, A., Meyer, J., & Brown, T. A. (2010). The Effects of Extraverted Temperament on Agoraphobia in Panic Disorder. Journal of Abnormal Psychology, 119, 420–426.Google Scholar
Sauer-Zavala, S., Boswell, J. F., Gallagher, M. W., Bentley, K. H., Ametaj, A., & Barlow, D. H. (2012). The Role of Negative Affectivity and Negative Reactivity to Emotions in Predicting Outcomes in the Unified Protocol for the Transdiagnostic Treatment of Emotional Disorders. Behaviour Research and Therapy, 50(9), 551–557.Google Scholar
Sauer-Zavala, S., Bentley, K. H., & Wilner, J. G. (2016). Transdiagnostic Treatment of Borderline Personality Disorder and Comorbid Disorders: A Clinical Replication Series. Journal of Personality Disorders, 30(1), 35–51.Google Scholar
Sauer-Zavala, S., Cassiello-Robbins, C., Conklin, L., Bullis, J. R., Thompson-Hollands, J., & Kennedy, K. (2017a). Isolating the Unique Effects of the Unified Protocol Treatment Modules Using Single-Case Experimental Design. Behavior Modification, 40, 286–307.Google Scholar
Sauer-Zavala, S., Gutner, C., Farchione, T. J., Boettcher, H. T., Bullis, J. R., & Barlow, D. H. (2017b). Current Definitions of “Transdiagnostic” in Treatment Development: A Search for Consensus. Behavior Therapy, 48(1), 128–138.Google Scholar
Sauer-Zavala, S., Wilner, J. G., Cassiello-Robbins, C., Saraff, P., & Pagan, D. S. (2019). Opposite Action in Borderline Personality Disorder: A Laboratory-based Alternating Treatment Design. Behaviour Research and Therapy, 117, 79–86.Google Scholar
Simon, G. E., & Perlis, R. H. (2010). Personalized Medicine for Depression: Can We Match Patients with Treatments? American Journal of Psychiatry, 167(12), 1445–1455.Google Scholar
Thornicroft, G. (2007). Most People with Mental Illness Are not Treated. The Lancet, 370(9590), 807–808.Google Scholar
Wang, P. S., Aguilar-Gaxiola, S., Alonso, J., Angermeyer, M. C., Borges, G., Bromet, E. J., … & Haro, J. M. (2007). Use of Mental Health Services for Anxiety, Mood, and Substance Disorders in 17 Countries in the WHO World Mental Health Surveys. The Lancet, 370(9590), 841–850.Google Scholar
Wenzlaff, R. M., & Wegner, D. M. (2000). Thought Suppression. Annual Review of Psychology, 51(1), 59–91.Google Scholar
Widiger, T. A., & Crego, C. (2013). Diagnosis and Classification. In Weiner, I. B., Stricker, G., & Widiger, T. A. (Eds.), Handbook of Psychology: Clinical Psychology (2nd edn., pp. 3–18). Hoboken, NJ: Wiley.Google Scholar
Widiger, T. A., & Krueger, R. F. (2013). Personality Disorders in the DSM-5: Current Status, Lessons Learned, and Future Challenges. Personality Disorders: Theory, Research, & Treatment, 4, 341.Google Scholar
Widiger, T. A., & Trull, T. J. (2007). Plate Tectonics in the Classification of Personality Disorder: Shifting to a Dimensional Model. American Psychologist, 62(2), 71–83.Google Scholar
Wilson, G. T., Fairburn, C. C., Agras, W. S., Walsh, B. T., & Kraemer, H. (2002). Cognitive-Behavioral Therapy for Bulimia Nervosa: Time Course and Mechanisms of Change. Journal of Consulting and Clinical Psychology, 70(2), 267–274.Google Scholar
Weisz, J. R. (2012). Testing Standard and Modular Designs for Psychotherapy Treating Depression, Anxiety, and Conduct Problems in Youth: A Randomized Effectiveness Trial. Archives of General Psychiatry, 69(3), 274–282.Google Scholar
Weber, E. U., & Johnson, E. J. (2009). Mindful Judgment and Decision Making. Annual Review of Psychology, 60(1), 53–85.Google Scholar
Yadin, E., Foa, E., & Lichner, T. (2012). Treating Your OCD with Exposure and Response (Ritual) Prevention (2nd edn.). New York: Oxford University Press.Google Scholar
Zinbarg, R., Craske, M., & Barlow, D. H. (2006). Therapist’s Guide for the Mastery of Your Anxiety and Worry Program. New York: Oxford University Press.Google Scholar

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.Google Scholar
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.Google 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.Google Scholar
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.Google Scholar
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.Google Scholar
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.Google Scholar
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.Google 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.Google Scholar
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.Google 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.Google Scholar
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.Google 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.CrossRefGoogle ScholarPubMed
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.Google Scholar
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.Google Scholar
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.Google Scholar
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.Google 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.Google 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.Google Scholar
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

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×