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Heart Rate Variability and Perceptions of Well-being

Heart Rate Variability and Perceptions of Well-being JM Strom 2 , MA Henning 1 J Sollers 1 , MP Lyndon 1,2 , AG Hill 1,2 , SJ Hawken 1 1 The University of Auckland, New Zealand 2 Counties Manukau Health. RESULTS. INTRODUCTION. RESULTS.

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Heart Rate Variability and Perceptions of Well-being

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  1. Heart Rate Variability and Perceptions of Well-being JM Strom2, MA Henning1 J Sollers1, MP Lyndon1,2, AG Hill1,2, SJ Hawken1 1TheUniversity of Auckland, New Zealand2Counties Manukau Health RESULTS INTRODUCTION RESULTS Quality of life and burnout issues among doctors are areas of continued interest and concern. No known study to date has attempted to match objective physiological biomarker data with doctors’ ratings of quality of life and well-being. The dearth of significant correlations of measures indicated a mind-body dissonance. Correlations between the psychosocial measures and the HRV data yielded three significant correlations The significant correlations (p < .05) noted included EUROHIS-QOL 8-item and HRV Day 2 (r = .52); CBI – personal and HRV Day 2 (r = -.51); and CBI – work and HRV Day 3 (r = .53) (Table 2). METHOD We explored the links between objective physiological biomarker data with measures of well-being. A total sample of 17 interns at Middlemore Hospital, New Zealand, volunteered for this study. Over four time periods separated by six week phases, the doctors completed a set of quality of life and well-being inventories and wore a heart rate monitor over a day and night time interval. Repeated measures ANOVAs, and correlation analyses were performed. Table 2: Correlations between the heart rate variability scores (Day and Night) and the scores from the DASS21, EUROHIS-QOL 8-item, and CBI over the four time periods RESULTS This sample of doctors did not report any problems associated with depression, anxiety, stress, burnout or quality of life. The findings revealed no significant time effects for the psychosocial ratings (DASS-21, EUROHIS-QOL 8-item, and CBI), and the physiological (HRV) measures (Table 1). Table 1: Means and standard deviations (SDs) for the transformed scores for DASS21, EUROHIS-QOL 8-item, and CBI across the four time periods (t1 to t4). DISCUSSION There was no evidence in this study to suggest that the first year junior doctors in this sample were experiencing either psychological or physiological problems. However, the findings showed that there was potential dissonance in the way doctors report their psychological status with respect to their heart rate variability. To further explore this notion of mind-body disconnection we suggest using a larger sample of interns. References 1. Schmidt S, Mühlan H, Power M. The EUROHIS-QOL 8-item index: psychometric results of a cross-cultural field study. The European Journal of Public Health. 2006;16(4):420-8. 2.Borritz M, Kristensen TS. Copenhagen Burnout Inventory. Copenhagen, Denmark: National Institute of Occupational Health; 2004. 3.Ramaekers D, Ector H, Demyttenaere K, Rubens A, WERF F. Association between cardiac autonomic function and coping style in healthy subjects. Pacing and clinical electrophysiology. 1998;21(8):1546-52. Contact: mataroria.lyndon@middlemore.co.nz Acknowledgements: Ko Awatea – Counties Manukau Health

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