Abstract
Depression is the leading cause of ill health and disability worldwide. Objectives were (1) to determine the strength of the association between personality type with depression and anxiety using the Preferred Communication Style Questionnaire (PCSQ©) and the Four-Item Patient Health Questionnaire for Depression and Anxiety (PHQ-4) and (2) evaluate the extent to which severity of depression and anxiety is associated with personality type. Data were collected via a self-administered online survey of 10,500. Chi-square analysis compared personality types and depression and anxiety. Practical significance was determined by calculating the percentage-from-expected score based on established statistics reflecting each personality type’s percentage in the US population. Personality type was strongly associated with both depression and anxiety with certain types at significantly greater risk than others. Findings can improve the research and clinical community’s understanding of the specific risk factors and triggers for depression and anxiety, and result in more efficacious, tailored treatment options.
Similar content being viewed by others
References
World Health Organization. Mental Health - Depression: Let’s Talk Campaign, April 7, 2017. Available online at https://www.who.int/mental_health/management/depression/en/. Accessed on Feb 5, 2019.
Anxiety and Depression Association of America. Understanding Anxiety and Depression. Available online at: https://adaa.org/understanding-anxiety/depression. Accessed on Feb 5, 2019.
National Institute of Mental Health. Mental Health Information. Available online at: https://www.nimh.nih.gov/health/statistics/major-depression.shtml. Accessed on Feb 5, 2019.
Depression and Other Common Mental Disorders: Global Health Estimates. Geneva: World Health Organization; 2017. License: CC BY-NC-SA 3.0 IGO.
Hellebuyck M, Halpern M, Nguyen T, et al. The State of Mental Health in America 2019. Alexandria: Mental Health America. 2018.
Anxiety and Depression Association of America. Understanding Anxiety and Depression – Facts and Statistics. Available online at: https://adaa.org/about-adaa/press-room/facts-statistics. Accessed on February 5, 2019.
Bandelow B, Michaelis S. Epidemiology of Anxiety Disorders in the 21st Century. Dialogues in Clinical Neuroscience. 2015;17(3): 327-335.
Grenard JL, Munjas BA, Adams JL, et al. Depression and Medication Adherence in the Treatment of Chronic Diseases in the United States: A Meta-Analysis. Journal of General Internal Medicine. 2011; 26(10):1175–1182.
Moore M, Culpepper S, Phan KL, et al. Neurobehavioral Mechanisms of Resilience against Emotional Distress: An Integrative Brain-Personality-Symptom Approach Using Structural Equation Modeling. Personality Neuroscience. 2018;1(e8): 1-10.
Anxiety and Depression Association of America. Therapy Option Guide. Available online at: https://adaa.org/finding-help/treatment/therapy. Accessed on Feb 5, 2019.
Allen J, Brock SA. Health Care Communication Using Personality Type: Patients Are Different! London: Routledge, 2000.
Schommer JC, Tieger PD, Olson AW, et al. Development of the Adherence Predictive Index (API) for Medication Taking. INNOVATIONS in pharmacy. 2016; 7(1); Article 11:1-17.
Schommer JC, Tieger PD, Olson AW, et al. Applying Personality Type Theory to Develop Individualized Wellness Plans for Reducing Chronic Diseases. INNOVATIONS in pharmacy, 2017;8(1); Article 7:1-35.
Schommer JC, Tieger PD, Olson AW, et al. Associations between Modifiable Health-Risk Behaviors and Personality Types. INNOVATIONS in Pharmacy. 2017, 8(2); Article 15:1- 29.
Tieger PD, Barron-Tieger B. The Art of SpeedReading People. New York: Little, Brown and Company, 1999.
Myers I. Introduction to Type: A Guide to Understanding Your Results on the Myers-Briggs Type Indicator (6th ed.). Palo Alto: Consulting Psychologists Press, 1998.
Keirsey D, Bates M. Please Understand Me, 3rd Edition. Del Mar: Prometheus Nemesis, 1984.
Tieger PD, Barron B, Tieger K. Do What You Are, Fifth Edition. New York: Little, Brown and Company, 2014.
Crowell R, MacLean C, Williams K, et al. Patient-Provider Communication: Utility of the Preferred Communication Style Questionnaire (PCSQ©). Connecticut Medicine. 2019;839(1): 11-19.
Rickles NM, Svarstad BL. The patient: behavioral determinants. In: Allen L, ed. Remington: the science and practice of pharmacy, Twenty-second Edition. London: Pharmaceutical Press, 2012, 1893-1902.
Prochaska JO, DiClemente CC. The Transtheoretical Approach. In Norcorss and Goldried, ed. Handbook of Psychotherapy Integration, Second Edition. Oxford University Press, 2005, 147-171.
Tieger P, Nicklan J. A Comparison of a Personality Type Assessment. Connecticut: SpeedReading People LLC. 2013.
Rickles NM, Tieger PD. Validation of a Telephone Communication Style Assessment. Poster presented at the Annual Meeting of the American Pharmacists Association. Seattle, 2019.
Kroenke, K, Spitzer RL, Williams JB, et al. An Ultra-Brief Screening Scale for Anxiety and Depression: The PHQ-4. Psychosomatics. 2009; 50(6): 613-21.
Schommer JC, Brown LM, Olson AW, et al. National Consumer Survey on the Medication Experience and Pharmacists’ Roles (Working Paper #NCSME&PR-02). Minneapolis, MN, 2019.
Myers IB, McCaulley M, Quenk NL, et al. MBTI Manual, 3rd Edition. Palo Alto: Consulting Psychologists Press, 2003.
Acknowledgments
Use of the proprietary, copyrighted tool: the “Preferred Communication Style Questionnaire” was obtained from Paul D. Tieger, SpeedReading People, LLC, 100 Allyn Street, Hartford, CT 06103, paul@speedreadingpeople.com.
The Adherence Predictive Index™ are copyrighted by SpeedReading People, LLC, 100 Allyn Street, Hartford, CT 06103, paul@speedreadingpeople.com.
The authors gratefully acknowledge colleagues who provided advice and insights that were used for this paper: Marcia M. Worley, Onyeka (Peter) Godwin, Mohamed Rashrash, Kelly Tieger, Daniel M. Tomaszewski, and Basma T. Gomaa.
The authors gratefully acknowledge Stacey Stark, Director of the Geospatial Analysis Center, University of Minnesota – Duluth for geospatial mapping used for this study.
The authors gratefully acknowledge the contributions of Rebecca Crowell, Kendra Williams, and Catherine MacLean of Saint Francis Hospital and Medical Center (SFHMC) in Hartford, CT. Two studies conducted at SFHMC—“validation of the patient’s preferred communication style” and “the risk factors associated with personality type study”—were extremely useful in refining and analyzing data from this current study.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of Interest
Mr. Paul Tieger’s primary disclosure is as primary author of the PCSQ© which is a primary instrument developed by his company SpeedReadingPeople, LLC. The other authors have no conflicts of interest to disclose. This project was funded by the University of Minnesota, College of Pharmacy, Peters Chair in Pharmacy Practice Innovation and by the Chapman University, School of Pharmacy.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic Supplementary Material
ESM 1
(DOCX 27.2 kb)
Rights and permissions
About this article
Cite this article
Rickles, N., Olson, A.W., Tieger, P.D. et al. Use of the Jung/Myers Model of Personality Types to Identify and Engage with Individuals at Greatest Risk of Experiencing Depression and Anxiety. J Behav Health Serv Res 48, 446–467 (2021). https://doi.org/10.1007/s11414-020-09724-2
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11414-020-09724-2