Wearable and appbased resilience Modeling in employees Wear

Wearable and app-based resilience Modeling in employees (Wear. Me) e. TELEMED 2019, EPVC special track Tuesday 26 -02 -2019, Herman de Vries E-mail: h. j. de. vries@pl. hanze. nl – Twitter: @Herman. De. Vries. NL share your talent. move the world.

Index • • • Introduction Conceptual framework Measurement cycle Present study Conclusion and future work 3 -10 -2020 e. TELEMED 2019 – h. j. de. vries@pl. hanze. nl – @Herman. De. Vries. NL share your talent. move the world. 2

Introduction • Occupational stress causes: – Health problems 1 – Productivity loss, absenteeism 2 • • • Allostatic load: cumulative wear and tear on bodily systems 3 Resilience: “The process of positively adapting to adverse events” 4 Resilience interventions targeting individuals ‘at risk’ have better long-term effects 5 https: //assets. entrepreneur. com/content/3 x 2/1300/20170425071851 -shutterstock-417980872. jpeg? width=700&crop=2: 1 3 -10 -2020 e. TELEMED 2019 – h. j. de. vries@pl. hanze. nl – @Herman. De. Vries. NL share your talent. move the world. 3

Introduction • • Wearables & apps introduce 6: – Objective behavioural and physiological data – Relatively unobtrusive monitoring of daily patterns Machine learning Resilience intervention that gives personalized, just-in-time feedback? (e. g. , a virtual coach) The Wear. Me study aims to develop models for this https: //www. irishtimes. com/polopoly_fs/1. 2074013. 1421845869!/image. jpg 3 -10 -2020 e. TELEMED 2019 – h. j. de. vries@pl. hanze. nl – @Herman. De. Vries. NL share your talent. move the world. 4

Sleep Heart Rate Variability (HRV) Conceptual framework Based on: Transactional Model of Stress and Coping 7, Job Demands. Resources Model 8, Effort-Recovery Model 9, Allostatic Load Theory 3 3 -10 -2020 e. TELEMED 2019 – h. j. de. vries@pl. hanze. nl – @Herman. De. Vries. NL share your talent. move the world. 5

Tracking sleep • • • Stress ↑ = Sleep ↓ 10 Sleep ↓ = Stress ↑ 11 Fitbit Charge 2 Accelerometer + heart rate “Black Box” Validity 12: – Sensitivity: – Specificity: • 96% 61% Total Sleep Time (TST) and Sleep Efficiency (SE) https: //browse. startpage. com/do/show_picture. pl? l=english&rais=1&oiu=https%3 A%2 F%2 Fi 5. walmartimages. com%2 Fasr%2 Fa 0 c 7528 c-498 a-4415 -bd 787273 e 9 c 9 eaf 2_1. 92 ae 19255843802 e 1 ead 453 ceba 7 d 43 d. png%3 Fodn. Height%3 D 450%26 amp%3 Bodn. Width%3 D 450%26 amp%3 Bodn. Bg%3 DFFFFFF&sp=fb 230 b 44 eea 42 6 a 24 ed 61634618 abbf 9&rl=NONE&t=default 3 -10 -2020 e. TELEMED 2019 – h. j. de. vries@pl. hanze. nl – @Herman. De. Vries. NL share your talent. move the world. 6

Heart Rate Variability (HRV) • • • Variability between heart beats Proxy for functioning of the Autonomous Nervous System (ANS) HRV ↓ during and after stress 18, 19 Low resting HRV also associated with: – Sensitivity for stress ↑ 20 – Emotion regulation ↓ 21 – Physical performance ↓ 22 – Risk of health problems ↑ 23 Elite HRV smartphone app + Polar H 7 chest strap Smartphone camera vs. Polar H 7 vs. ECG 24 https: //www. heartmath. org/assets/uploads/2016/01/soh-figure-3 -1. jpg 3 -10 -2020 e. TELEMED 2019 – h. j. de. vries@pl. hanze. nl – @Herman. De. Vries. NL share your talent. move the world. 7

Daily questionnaires • • Ecological Momentary Assessment (EMA) Morning questionnaire: – After waking up – 7 questions – Recovery, need for recovery, resources • Evening questionnaire: – Before going to bed – 12 questions – Demands, stress, need for recovery, resources 3 -10 -2020 e. TELEMED 2019 – h. j. de. vries@pl. hanze. nl – @Herman. De. Vries. NL share your talent. move the world. 8

Measurement cycle 3 -10 -2020 e. TELEMED 2019 – h. j. de. vries@pl. hanze. nl – @Herman. De. Vries. NL share your talent. move the world. 9

Present (ongoing) study • • Students in Applied Psychology (n=5) and Social Work (n=7) First time internship 15 weeks Study aims: – Feasibility? – Compliance? Missing data? – Is 15 weeks enough? – Can changes in sleep and resting HRV indeed be detected and predicted? 3 -10 -2020 e. TELEMED 2019 – h. j. de. vries@pl. hanze. nl – @Herman. De. Vries. NL share your talent. move the world. 10

Conclusion and future work • Some early participant feedback: – Most of them loved the Fitbit – … but didn’t love the chest strap • • • Follow-up with the Cor. Sense? Exploring data-analysis methods In consideration: – Adding variables? (e. g. , GPS location, calendar events) – Using inductive methods? – Combining between-subject and within-subject methods? https: //elitehrv. com/corsense 3 -10 -2020 e. TELEMED 2019 – h. j. de. vries@pl. hanze. nl – @Herman. De. Vries. NL share your talent. move the world. 11

Thank you for your time! Are there questions or comments? Contact: • E-mail: • Twitter: • Linked. In: h. j. de. vries@pl. hanze. nl @Herman. De. Vries. NL hermandevries 3 -10 -2020 e. TELEMED 2019 – h. j. de. vries@pl. hanze. nl – @Herman. De. Vries. NL share your talent. move the world. 12

References 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 16. 17. 18. 19. 20. 21. 22. 23. 24. T. W. Colligan and E. M. Higgins, ‘Workplace stress: Etiology and consequences’, J. Workplace Behav. Health, vol. 21, no. 2, pp. 89– 97, 2006. S. Béjean and H. Sultan-Taïeb, ‘Modeling the economic burden of diseases imputable to stress at work’, Eur. J. Health Econ. , vol. 6, no. 1, pp. 16– 23, 2005. B. S. Mc. Ewen, ‘Stress, adaptation, and disease: Allostasis and allostatic load’, Ann. N. Y. Acad. Sci. , vol. 840, no. 1, pp. 33– 44, 1998. T. D. Cosco, A. Kaushal, R. Hardy, M. Richards, D. Kuh, and M. Stafford, ‘Operationalising resilience in longitudinal studies: a systematic review of methodological approaches. ’, J. Epidemiol. Community Health, vol. 71, no. 1, pp. 98– 104, Jan. 2017. A. J. Vanhove, M. N. Herian, A. L. U. Perez, P. D. Harms, and P. B. Lester, ‘Can resilience be developed at work? A meta ‐analytic review of resilience‐building programme effectiveness’, J. Occup. Organ. Psychol. , vol. 89, no. 2, pp. 278– 307, 2016. R. L. Drury, ‘Wearable biosensor systems and resilience: a perfect storm in health care? ’, Front. Psychol. , vol. 5, p. 853, 2014. R. S. Lazarus and S. Folkman, ‘Transactional theory and research on emotions and coping’, Eur. J. Personal. , vol. 1, no. 3, pp. 141– 169, 1987. A. B. Bakker and E. Demerouti, ‘The Job Demands ‐ Resources model: state of the art’, J. Manag. Psychol. , vol. 22, no. 3, pp. 309– 328, 2007. M. Van Veldhoven, ‘Need for recovery after work: An overview of construct, measurement and research’, in Occupational health psychology: European perspectives on research, education and practice , vol. 3, de J. Houdmont and S. Leka, Eds. Nottingham, 2008, pp. 1– 25. E. -J. Kim and J. E. Dimsdale, ‘The effect of psychosocial stress on sleep: a review of polysomnographic evidence. ’, Behav. Sleep. Med. , vol. 5, no. 4, pp. 256– 278, 2007. Kalmbach DA, Pillai V, Arnedt JT, Anderson JR, Drake CL. Sleep system sensitization: evidence for changing roles of etiological factors in insomnia. Sleep Med. mei 2016; 21: 63– 9. M. de Zambotti, A. Goldstone, S. Claudatos, I. M. Colrain, and F. C. Baker, ‘A validation study of Fitbit Charge 2 TM compared with polysomnography in adults’, Chronobiol. Int. , vol. 35, no. 4, pp. 465– 476, 2018. J. F. Thayer, F. Ahs, M. Fredrikson, J. J. Sollers III, and T. D. Wager, ‘A meta-analysis of heart rate variability and neuroimaging studies: implications for heart rate variability as a marker of stress and health. ’, Neurosci. Biobehav. Rev. , vol. 36, no. 2, pp. 747– 756, Feb. 2012. M. Hall et al. , ‘Acute stress affects heart rate variability during sleep. ’, Psychosom. Med. , vol. 66, no. 1, pp. 56– 62, Feb. 2004. G. Park, J. J. Van Bavel, M. W. Vasey, and J. F. Thayer, ‘Cardiac vagal tone predicts inhibited attention to fearful faces. ’, Emot. Wash. DC, vol. 12, no. 6, pp. 1292– 1302, Dec. 2012. D. P. Williams, C. Cash, C. Rankin, A. Bernardi, J. Koenig, and J. F. Thayer, ‘Resting heart rate variability predicts self-reported difficulties in emotion regulation: a focus on different facets of emotion regulation. ’, Front. Psychol. , vol. 6, p. 261, 2015. S. Jimenez Morgan and J. A. Molina Mora, ‘Effect of Heart Rate Variability Biofeedback on Sport Performance, a Systematic Review. ’, Appl. Psychophysiol. Biofeedback , vol. 42, no. 3, pp. 235– 245, Sep. 2017. D. Liao, M. Carnethon, G. W. Evans, W. E. Cascio, and G. Heiss, ‘Lower heart rate variability is associated with the development of coronary heart disease in individuals with diabetes: the atherosclerosis risk in communities (ARIC) study’, Diabetes, vol. 51, no. 12, pp. 3524– 3531, 2002. D. J. Plews, B. Scott, M. Altini, M. Wood, A. E. Kilding, and P. B. Laursen, ‘Comparison of heart-rate-variability recording with smartphone photoplethysmography, Polar H 7 chest strap, and electrocardiography’, Int. J. Sports Physiol. Perform. , vol. 12, no. 10, pp. 1324– 1328, 2017. 3 -10 -2020 e. TELEMED 2019 – h. j. de. vries@pl. hanze. nl – @Herman. De. Vries. NL share your talent. move the world. 13