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New Hope for Correctional Officers: An Innovative Program for Reducing Stress and Health Risks

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Abstract

This study investigated the impact of a new stress management program on physiological and psychological stress and health risk factors among 75 correctional officers. The experimental group received training in emotion self-regulation techniques intended to reduce stress and health risk factors. Practice of the techniques was enhanced by heart rate variability feedback, which helped participants learn and sustain use of the self-management tools. Measures of physiological stress included cortisol, DHEA, cholesterol, triglycerides, fasting glucose levels, 10-min resting electrocardiogram, heart rate variability, and blood pressure. Three psychological questionnaires assessed emotional stress and work-related variables. There were significant improvements in the experimental group in cholesterol, glucose, heart rate, blood pressure and positive outlook and significant reductions in overall psychological distress. There were significant increases in productivity, motivation, goal clarity, and perceived support. The mean difference between pre- and post-intervention projected health care costs was calculated to be $1,179 per employee per year.

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Notes

  1. Since this study was conducted, the Freeze-Framer system has been upgraded and renamed the emWave PC.

  2. A full correlation analysis for each group, at baseline and post-intervention, of the relationship between the physiological and the psychological variables produced few significant relationships of note and so has not been presented here.

References

  • Aboa-Eboule, C., Brisson, C., Maunsell, E., Masse, B., Bourbonnais, R., Vezina, M., et al. (2007). Job strain and risk of acute recurrent coronary heart disease events. Journal of the American Medical Association, 298(14), 1652–1660. doi:10.1001/jama.298.14.1652.

    Article  PubMed  Google Scholar 

  • Aguirre, A., Wodicka, G. R., Maayan, C., & Shannon, D. C. (1990). Interaction between respiratory and RR interval oscillations at low frequencies. Journal of the Autonomic Nervous System, 29, 241–246. doi:10.1016/0165-1838(90)90150-H.

    Article  PubMed  Google Scholar 

  • Aldana, S. G. (2001). Financial impact of health promotion programs: A comprehensive review of the literature. American Journal of Health Promotion, 15(5), 296–320.

    PubMed  Google Scholar 

  • Bacon, S. L., Watkins, L. L., Babyak, M., Sherwood, A., Hayano, J., Hinderliter, A. L., et al. (2004). Effects of daily stress on autonomic cardiac control in patients with coronary artery disease. The American Journal of Cardiology, 93(10), 1292–1294. doi:10.1016/j.amjcard.2004.02.018.

    Article  PubMed  Google Scholar 

  • Barrios-Choplin, B., McCraty, R., & Cryer, B. (1997). An inner quality approach to reducing stress and improving physical and emotional wellbeing at work. Stress Medicine, 13(3), 193–201. doi:10.1002/(SICI)1099-1700(199707)13:3<193::AID-SMI744>3.0.CO;2-I.

    Article  Google Scholar 

  • Barrios-Choplin, B., McCraty, R., Sundram, J., & Atkinson, M. (1999). The effect of employee self-management training on personal and organizational quality. Boulder Creek, CA: HeartMath Research Center, Institute of HeartMath. publication no. 99-083.

    Google Scholar 

  • Baselli, G., Cerutti, S., Badilini, F., Biancardi, L., Porta, A., Pagani, M., et al. (1994). Model for the assessment of heart period variability interactions of respiration influences. Medical & Biological Engineering & Computing, 32(2), 143–152. doi:10.1007/BF02518911.

    Article  Google Scholar 

  • Bigger, J. T., Jr, Fleiss, J. L., Steinman, R. C., Rolnitzky, L. M., Kleiger, R. E., & Rottman, J. N. (1992). Frequency domain measures of heart period variability and mortality after myocardial infarction. Circulation, 85(1), 164–171.

    PubMed  Google Scholar 

  • Blackmore, J. (1978). Are police allowed to have problems of their own? Police Magazine, 1(3), 47–55.

    Google Scholar 

  • Bradford, E. J., Wesnes, K. A., & Brett, D. (2005). Effects of peak performance training on cognitive function. Journal of Psychopharmacology (Oxford, England), 19(suppl 5), A44.

    Google Scholar 

  • Bradley, R. T., McCraty, R., Atkinson, M., Arguelles, L., Rees, R. A., & Tomasino, D. (2007). Reducing test anxiety and improving test performance in America’s schools: Results from the TestEdge national demonstration study. Boulder Creek, CA: HeartMath Research Center, Institute of HeartMath. publication no. 07-09-01.

    Google Scholar 

  • Brown, J., & Campbell, E. (1994). Stress and policing: Sources and strategies. Chichester: Wiley.

    Google Scholar 

  • Burke, R. J. (1994). Stressful events, work-family conflict, coping, psychological burnout, and well-being among police officers. Psychological Reports, 75(2), 787–800.

    PubMed  Google Scholar 

  • Burke, R. J., & Mikkelsen, A. (2005). Career stage and police cynicism. Psychological Reports, 96(3 pt 2), 989–992.

    PubMed  Google Scholar 

  • Chandola, T., Britton, A., Brunner, E., Hemingway, H., Malik, M., Kumari, M., et al. (2008). Work stress and coronary heart disease: What are the mechanisms? European Heart Journal, 29(5), 640–648. doi:10.1093/eurheartj/ehm584.

    Article  PubMed  Google Scholar 

  • Childre, D., & Cryer, B. (2000). From chaos to coherence: The power to change performance. Boulder Creek, CA: Planetary.

    Google Scholar 

  • Childre, D., & Martin, H. (1999). The HeartMath solution. San Francisco: HarperSanFrancisco.

    Google Scholar 

  • Childre, D., & Rozman, D. (2005). Transforming stress: The HeartMath solution to relieving worry, fatigue, and tension. Oakland, CA: New Harbinger.

    Google Scholar 

  • Cohen, S., Janicki-Deverts, D., & Miller, G. E. (2007). Psychological stress and disease. Journal of the American Medical Association, 298(14), 1685–1687. doi:10.1001/jama.298.14.1685.

    Article  PubMed  Google Scholar 

  • Coman, G., & Evans, B. (1991). Stressors facing Australian police in the 1990s. Policy Studies, 14(4), 153–165.

    Google Scholar 

  • Cooper, C. L., Davidson, M. J., & Robinson, P. (1982). Stress in the police service. Journal of Occupational Medicine, 24(1), 30–36.

    PubMed  Google Scholar 

  • Dekker, J., Schouten, E. G., Klootwijk, P., Pool, J., Swenne, C. A., & Kromhout, D. (1997). Heart rate variability from short electrocardiographic recordings predicts mortality from all causes in middle-aged and elderly men. American Journal of Epidemiology, 145(10), 899–908.

    PubMed  Google Scholar 

  • Eddington, D., Yen, L., & Braunstein, A. (1999). The reliability and validity of HRAs. In SPM Handbook of Health Assessment Tools (pp. 135–141). The Society of Prospective Medicine and the Institute for Health and Productivity Management.

  • Fronstin, P. (1996). Health promotion and disease prevention: A look at demand management programs. EBRI Issue Brief, (177), 1–14.

  • Ginsberg, J. P. (2009). Autonomic control of heart rate and heart rate variability: Influences on orienting and information processing in combat veterans with PTSD. In D. A. Powell (Ed.), Central nervous system control of learned autonomic adjustments (in press). Kerala, India: Research Signposts.

  • Goetzel, R. Z., Anderson, D. R., Whitmer, R. W., Ozminkowski, R. J., Dunn, R. L., & Wasserman, J. (1998). The relationship between modifiable health risks and health care expenditures. An analysis of the multi-employer HERO health risk and cost database. The Health Enhancement Research Organization (HERO) Research Committee. Journal of Occupational and Environmental Medicine, 40(10), 843–854. doi:10.1097/00043764-199810000-00003.

    Article  PubMed  Google Scholar 

  • Jabaaij, L. (1993). Immunologic, endocrine and psychological influences on cortisol-induced immunoglobulin synthesis in vitro. Psychoneuroendocrinology, 18, 591–605. doi:10.1016/0306-4530(93)90036-K.

    Article  PubMed  Google Scholar 

  • Jackson, S., & Malasch, C. (1982). After-effects of job-related stress: Families as victims. Journal of Occupational Behavior, 3, 63–77. doi:10.1002/job.4030030106.

    Article  Google Scholar 

  • Karavidas, M. (2008). Heart rate variability biofeedback for major depression. Biofeedback, 36(1), 18–21.

    Google Scholar 

  • Kerr, D. S., Campbell, L. W., Applegate, M. D., Brodish, A., & Landfield, P. W. (1991). Chronic stress-induced acceleration of electrophysiologic and morphometric biomarkers of hippocampal aging. The Journal of Neuroscience, 11(5), 1316–1324.

    PubMed  Google Scholar 

  • Kirkcaldy, B., Cooper, C. L., & Ruffalo, P. (1995). Work stress and health in a sample of U.S. police. Psychological Reports, 76(2), 700–702.

    PubMed  Google Scholar 

  • Lehrer, P. M., Vaschillo, E., & Vaschillo, B. (2000). Resonant frequency biofeedback training to increase cardiac variability. Rationale and manual for training. Applied Psychophysiology and Biofeedback, 25(3), 177–191. doi:10.1023/A:1009554825745.

    Article  PubMed  Google Scholar 

  • Lehrer, P., Vaschillo, E., Vaschillo, B., Lu, S. E., Scardella, A., Siddique, M., et al. (2004). Biofeedback treatment for asthma. Chest, 126(2), 352–361. doi:10.1378/chest.126.2.352.

    Article  PubMed  Google Scholar 

  • Luskin, F., Reitz, M., Newell, K., Quinn, T. G., & Haskell, W. (2002). A controlled pilot study of stress management training of elderly patients with congestive heart failure. Preventive Cardiology, 5(4), 168–172, 176. doi:10.1111/j.1520.037X.2002.01029.x.

    Article  PubMed  Google Scholar 

  • Malliani, A. (1995). Association of heart rate variability components with physiological regulatory mechanisms. In M. Malik & A. J. Camm (Eds.), heart rate variability (pp. 173–188). Armonk, NY: Futura Publishing Company, Inc.

    Google Scholar 

  • Manolagas, S. C., Anderson, D. C., & Lindsay, R. (1979). Adrenal steroids and the development of osteoporosis in oophorectomised women. Lancet, 2(8143), 597–600. doi:10.1016/S0140-6736(79)91663-5.

    Article  PubMed  Google Scholar 

  • McCraty, R., Atkinson, M., & Lipsenthal, L. (2000). Emotional self-regulation program enhances psychological health and quality of life in patients with diabetes. Boulder Creek, CA: HeartMath Research Center, Institute of HeartMath. publication no. 00-006.

    Google Scholar 

  • McCraty, R., Atkinson, M., Rein, G., & Watkins, A. D. (1996). Music enhances the effect of positive emotional states on salivary IgA. Stress Medicine, 12(3), 167–175. doi:10.1002/(SICI)1099-1700(199607)12:3<167::AID-SMI697>3.0.CO;2-2.

    Article  Google Scholar 

  • McCraty, R., Atkinson, M., Tiller, W. A., Rein, G., & Watkins, A. D. (1995). The effects of emotions on short-term power spectrum analysis of heart rate variability. The American Journal of Cardiology, 76(14), 1089–1093. doi:10.1016/S0002-9149(99)80309-9.

    Article  PubMed  Google Scholar 

  • McCraty, R., Atkinson, M., & Tomasino, D. (2003). Impact of a workplace stress reduction program on blood pressure and emotional health in hypertensive employees. Journal of Alternative and Complementary Medicine (New York, NY), 9(3), 355–369. doi:10.1089/107555303765551589.

    Article  Google Scholar 

  • McCraty, R., Atkinson, M., Tomasino, D., & Bradley, R. T. (2006). The coherent heart: Heart-brain interactions, psychophysiological coherence, and the emergence of system-wide order. Boulder Creek, CA: HeartMath Research Center, Institute of HeartMath. publication no. 06-022.

    Google Scholar 

  • McCraty, R., Barrios-Choplin, B., Rozman, D., Atkinson, M., & Watkins, A. D. (1998). The impact of a new emotional self-management program on stress, emotions, heart rate variability, DHEA and cortisol. Integrative Physiological and Behavioral Science, 33(2), 151–170. doi:10.1007/BF02688660.

    Article  PubMed  Google Scholar 

  • McCraty, R., & Tomasino, D. (2006a). Coherence-building techniques and heart rhythm coherence feedback: New tools for stress reduction, disease prevention, and rehabilitation. In E. Molinari, A. Compare, & G. Parati (Eds.), Clinical psychology and heart disease (Vol. 488–509). Milan: Springer.

    Google Scholar 

  • McCraty, R., & Tomasino, D. (2006b). Emotional stress, positive emotions, and psychophysiological coherence. In B. B. Arnetz & R. Ekman (Eds.), Stress in health and disease (pp. 342–365). Weinheim: Wiley-VCH.

    Chapter  Google Scholar 

  • McCraty, R., Tomasino, D., Atkinson, M., & Sundram, J. (1991). Impact of the HeartMath self-management skills program on physiological stress in police officers. Report number, publication no. 99-075. Retrieved from http://www.heartmath.org/research/research-publications.html.

  • McCraty, R., Tomasino, D., Atkinson, M., & Sundram, J. (1999). Impact of the HeartMath self-management skills program on physiological and psychological stress in police officers. Boulder Creek, CA: Heartmath Research Center, Institute of HeartMath. publication no. 99-075.

    Google Scholar 

  • McLaren, S., Gollan, W., & Horwell, C. (1998). Perceived stress as a function of occupation. Psychological Reports, 82(3 (Pt 1)), 794.

    Article  PubMed  Google Scholar 

  • Namiki, M. (1994). Biological markers of aging. Nippon Ronen Igakkai Zasshi. Japanese Journal of Geriatrics, 31, 85–95.

    PubMed  Google Scholar 

  • Nolan, R. P., Kamath, M. V., Floras, J. S., Stanley, J., Pang, C., Picton, P., et al. (2005). Heart rate variability biofeedback as a behavioral neurocardiac intervention to enhance vagal heart rate control. American Heart Journal, 49(6), 1137.e1–1137.e7.

    Google Scholar 

  • Rein, G., Atkinson, M., & McCraty, R. (1995). The physiological and psychological effects of compassion and anger. Journal of Advancement in Medicine, 8(2), 87–105.

    Google Scholar 

  • Sewell, J. (1981). Police stress. In FBI Law enforcement bulletin (pp. 7–11). Washington, DC: Federal Bureau of Investigation.

  • Siepmann, M., Aykac, V., Unterdorfer, J., Petrowski, K., & Mueck-Weymann, M. (2008). A pilot study on the effects of heart rate variability biofeedback in patients with depression and in healthy subjects. Applied Psychophysiology and Biofeedback, 33(4), 195–201.

    Article  PubMed  Google Scholar 

  • Singer, D. H., Martin, G. J., Magid, N., Weiss, J. S., Schaas, J. W., Kehoe, R., et al. (1988). Low heart rate variability and sudden cardiac death. Journal of Electrocardiology, (Suppl), S46–S55. doi:10.1016/0022-0736(88)90055-6.

  • Stotland, E., & Pendleton, M. (1989). Workload, stress, and strain among police officers. Behavioral Medicine (Washington, D.C.), 15(1), 5–17.

    Google Scholar 

  • Territo, L., & Vetter, H. (1981). Stress and police personnel. Journal of Police Science and Administration, 9, 195–208.

    Google Scholar 

  • Tiller, W. A., McCraty, R., & Atkinson, M. (1996). Cardiac coherence: A new, noninvasive measure of autonomic nervous system order. Alternative Therapies in Health and Medicine, 2(1), 52–65.

    PubMed  Google Scholar 

  • Tsuji, H., Larson, M. G., Venditti, F. J. Jr., Manders, E. S., Evans, J. C., Feldman, C. L., et al. (1996). Impact of reduced heart rate variability on risk for cardiac events: The Framingham heart study. Circulation, 94, 2850–2855.

    PubMed  Google Scholar 

  • Tsuji, H., Venditti, F. J. Jr., Manders, E. S., Evans, J. C., Larson, M. G., Feldman, C. L., et al. (1994). Reduced heart rate variability and mortality risk in an elderly cohort. The Framingham heart study. Circulation, 90(2), 878–883.

    PubMed  Google Scholar 

  • Vaschillo, E. G., Vaschillo, B., & Lehrer, P. (2006). Characteristics of resonance in heart rate variability stimulated by biofeedback. Applied Psychophysiology and Biofeedback, 31(2), 129–142. doi:10.1007/s10484-006-9009-3.

    Article  PubMed  Google Scholar 

  • Villareal, R. P., Liu, B. C., & Massumi, A. (2002). Heart rate variability and cardiovascular mortality. Current Atherosclerosis Reports, 4(2), 120–127. doi:10.1007/s11883-002-0035-1.

    Article  PubMed  Google Scholar 

  • Yen, L. T., Eddington, D. W., & Witting, P. (1991). Associations between health risk appraisal scores and employee medical claims costs in a manufacturing company. American Journal of Health Promotion, 6(1), 46–54.

    PubMed  Google Scholar 

  • Zapf, D., Vogt, C., Seifert, C., Mertini, H., & Isic, A. (1999). Emotion work as a source of stress: The concept and development of an instrument. European Journal of Work and Organizational Psychology, 8, 371–400. doi:10.1080/135943299398230.

    Article  Google Scholar 

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Acknowledgments

The research project on which this paper is based, “Impact of the Power to Change Performance Program on Stress and Health Risks in Correctional Officers,” was financially supported by the State of California Commission on Correctional Peace Officer Standards and Training (CPOST).

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Correspondence to Rollin McCraty.

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McCraty, R., Atkinson, M., Lipsenthal, L. et al. New Hope for Correctional Officers: An Innovative Program for Reducing Stress and Health Risks. Appl Psychophysiol Biofeedback 34, 251–272 (2009). https://doi.org/10.1007/s10484-009-9087-0

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