Estudio de Caso de ÉxitoImplementación de Tecnología para La Gestión del Estrés en El Entorno Laboral

  1. Crespo Ruiz, Beatriz Alberto 1
  2. León Jimenez, Manuel 1
  3. García-Unanue, Jorge 1
  4. Gallardo Guerrero, Leonor 1
  5. Maicas Pérez, Luis Alberto 1
  1. 1 Universidad Castilla la Mancha- UCLM, Ciudad Real.
Revista:
Podium Sport, Leisure and Tourism Review

ISSN: 2316-932X

Año de publicación: 2017

Título del ejemplar: Edición Temática; I-III

Volumen: 6

Número: 3

Páginas: 57-71

Tipo: Artículo

DOI: 10.5585/PODIUM.V6I3.223 DIALNET GOOGLE SCHOLAR

Otras publicaciones en: Podium Sport, Leisure and Tourism Review

Resumen

El objetivo de nuestro estudio fue utilizar un evento deportivo como elemento estresor del sistema nervioso (SN) para estudiar cómo los empleados de un departamento concreto en una multinacional hotelera gestionaba el estrés y cuál era la calidad de recuperación con vistas a generar planes estratégicos a futuro de salud corporativa basados en indicadores de mejora (KPI). Se analizó la respuesta del SN antes y después de un evento deportivo con demanda física elevada (PRE/POST) en una población mixta de hombres y mujeres, 35 ± 2 años (n=14). Las variables analizadas fueron el porcentaje de total de horas del día donde el organismo reacciona a estímulos que le provocan estrés (% estrés) y recuperación (% recuperación) y la variabilidad cardiaca (RMSSD) como variable que analiza directamente el impacto que el estímulo estresor tiene en el organismo. Los resultados principales indicaron que el % estrés en ambos casos se mantiene estable (PRE 54% vs POST 59%) lo que puede indicar una buena adaptación a corto plazo a este parámetro, lo que se relaciona con el dato aportado por la RMSSD (PRE 45,80 ± 25,34 vs POST 50,62 ± 33,77). Sin embargo el % recuperación disminuye tras el evento deportivo a consecuencia del estímulo estresor generado (PRE 28% vs POST 19%), no recuperando los valores basales hasta pasados 3 días después del evento, lo que puede indicar una mala adaptación del grupo al estrés generado a medio plazo. Las principales conclusiones indican que el uso de tecnología de alto rendimiento deportivo enfocado a la productividad empresarial puede ser a futuro una herramienta útil y fiable que ayude a las compañías a generar nuevos KPI en materia de prevención de enfermedades laborales tales como el estrés.   

Referencias bibliográficas

  • An, K., Salver, J., Brown, R. E., Kao, H.F., Starkweather, A., & Shim, I. (2015). Salivary Biomarkers of Chronic Psychosocial Stress and CVD Risks: A Systematic Review. Biol Res Nurs; 18(3):241-63. Doi: 10.11777/10998004437.
  • Blalock, E. M., Chen, K.C., Sharrow, K., Herman, J.P., Porter, N.M., Foster, T. C., & Landfield, P. W. (2003). Gene microarrays in hippocampal aging: statistical profiling identifies novel processes correlated with cognitive impairment. J Neurosci, 23: 3807–819.
  • Brand, S., Gerber, M., Beck, J., Hatzinger, M., Pu ̈ hse, U., & Holsboer- Trachsler, E. (2010). High exercise levels are related to favourable sleep patterns and psychological functioning in adolescents: a compar- ison of athletes and controls. J Adoles Health; 46:133–141.
  • Brown, R. A., Abrantes, A. M., & Strong, D. R., et al. (2007). A pilot study of moderate-intensity aerobic exercise for obsessive compulsive dis- order. J Nerv Ment Dis; 1
  • :514–520.
  • Brown, G.W. & Harris, T.O. (eds). 1978. Social Origins of Depression: A study of psychiatric disorder in women. London: Tavistock
  • Diaz, A. B., & Motta, R. (2008). The effects of an aerobic exercise program on posttraumatic stress disorder severity in adolescents. Intern J Ment Health; 10:49–59
  • Dohrenwend, B. S. & Dohrenwend, B. P. (1974). Stressful Life Events: Their Nature and Effects. Wiley. New York.
  • Faulkner, G. E. J., & Taylor, A. H. (2005). Exercise, Health and Mental Health: Emerging Relationships. New York, NY: Routledge.
  • Firstbeat Technologies Ltd. (2014). Stress and recovery analysis method based on 24-hour heart rate variability. http://www.firstbeat.com/app/uploads/ 2015/10/Stress-and-recovery_white-paper_20145.pdf. Accessed 8 Dec 2015.
  • Gabriel, R., Brotons, C., Muñiz, J., Tuomilehto, J., & Ryden, L. (2003). Euroheart II: Project Evaluation of Diabetes Guidelines for Cardiac Parients. Work Package 9.
  • Goodwin, R. D. (2003). Association between physical activity and mental disorders among adults in the United States. Prev Med; 36:698–703.
  • Hale, B. S., & Raglin, J. S. (2002). State anxiety responses to acute resistance training and step aerobic exercise across 8-weeks of training. J Sports Med Phys Fit; 42(1):108–112.
  • Hanson, E. K., Godaert, G. L., Maas, C. J., & Meijman, T. F. (2001). Vagal cardiac control throughout the day: the relative importance of effort-reward imbalance and within-day measurements of mood, demand and satisfaction. Biol Psychol;56(1):23-44.
  • Hasler, G., Buysse, D. J., & Gamma, A., et al. (2005). Excessive daytime sleepi- ness in young adults: a 20-year prospective community study. J Clin Psychiatry; 66:521–529.
  • Hepple, R. T. (2011) Alterations in mitochondria and their impact in aging skeletal muscle. In Sarcopenia – Age-related Muscle Wasting and Weakness: Mecha- nisms and Treatments (G Lynch, ed.). New York: Springer, pp. 135–158.
  • Hintsanen, M., Elovainio, M., Puttonen, S., Kivimaki, M., Koskinen, T., Raitakari, O. T., & Keltikangas-Jarvinen L (2007). Effort-reward imbalance, heart rate, and heart rate variability: the Cardiovascular Risk in Young Finns Study. Int J Behav Med;14(4):202-12.
  • Hiona, A., & Leeuwenburgh, C. (2008) The role of mitochondrial DNA mutations in aging and sarcopenia: implications for the mitochondrial vicious cycle theory of aging. Exp. Gerontol. 43, 24–33.
  • Holmes, T. H., & Rahe, R. H. (1967). The social readjustment rating scale. Journal of psychosomatic research, 11, 213.
  • Kettunen, J., & Saalasti, S., inventors; Firstbeat Technologies Ltd, assignee. (2008) Procedure for deriving reliable information on respiratory activity from heart period measurement. United States patent US 7,460,901 B2. 2.
  • Kettunen, J., & Saalasti, S., inventors; Firstbeat Technologies Ltd, assignee. (2008). Procedure for detection of stress by segmentation and analyzing heart beat signal. United States patent US 7,330,752 B2.12
  • Knapen, J., Sommerijns, E., & Vancampfort, D., et al. (2009). State anxiety and subjective well-being responses to acute bouts of aerobic exercises in patients with depressive and anxiety disorders. Br J Sports Med; 43:756–759.
  • Lamarche, L. J., & De Koninck, J. (2007). Sleep disturbances in adults with posttraumatic stress disorder: a review. J Clin Psychiatry; 68:1257–1270.
  • Lazarus, R. (1966). Psychological stress and the coping process. Nueva York: McGraw-Hill.
  • Lee, C. K., Weindruch, R., & Prolla, T. A. (2000). Gene- expression profile of the ageing brain in mice. Nat Genet, 25: 294–97.
  • Lu, T., Pan, Y., Kao, S. Y., Li, C., Kohane, I., Chan, J., & Yankner, B. A. (2004). Gene regulation and DNA damage in the ageing human brain. Nature, 429: 883-91.
  • Martinmäki, K., Rusko, H., Kooistra, L., Kettunen, J., & Saalasti, S. (2006). Intraindividual validation of heart rate variability indexes to measure vagal effects on hearts. Am J Physiol Heart Circ Physiol.; 290(2):640–7
  • Merom, D., Phongsavan, P., & Wagner, R., et al. (2008). Promoting walking as an adjunct intervention to group cognitive behavioural therapy for anxiety disorders – a pilot group randomized trial. J Anxiety Disord; 22:959–968.
  • Mutikainen, S., Helander, E., Pietila, J., Korhonen, I., & Kujala, U. M. (2014). Objectively measured physical activity in Finnish employees: a cross-sectional study. BMJ Open. doi:10.1136/bmjopen-2014-005927.
  • Overbeek, T., van Diest, R., Schruers, K., Kruizinga, F., & Griez, E. (2005). Sleep complaints in panic disorder patients. J Nerv Ment Dis; 193:488–493.
  • Pearlin, L. I. (1989). The Sociological Study of Stress. Journal of Health and Social Behavior 30(3):241-56.
  • Poon, H. F., Calabrese, V., Scapagnini, G., & Butterfield, D. A. (2004). Free radicals and brain aging. Clin Geriatr Med, 20: 329-59.
  • Riese, H., Van Doornen, L. J., Houtman, I. L., & De Geus, E. J. (2004). Job strain in relation to ambulatory blood pressure, heart rate, and heart rate variability among female nurses. Scand J Work Environ Health;30(6):477-85.
  • Saalasti, S. (2015). Neural networks for heart rate time series analysis [dissertation]. Jyväskylä: University of Jyväskylä; 2003. https://jyx.jyu.fi/dspace/bitstream/handle/123456789/13267/951391707X.pdf?sequence=1. Accessed 9.
  • Shalev, A. Y., Peri, T., Brandes, D., Freedman, S., Orr, S. P., & Pitman, R. K. (2000). Auditory startle response in trauma survivors with post- traumatic stress disorder: a prospective study. Am J Psychiatry; 157:255–261.
  • Smart, N. (2011). “Exercise training for heart failure patients with and without systolic dysfunction: an evidence-based analysis of how patients benefit”. Cardiol Res Pract: doi:10.4061/2011/837238.
  • Spoormaker, V. I., & van den Bout, J. (2005). Depression and anxiety complaints; relations with sleep disturbances. Eur Psychiatry; 20:243–245.
  • Stubbs, B., Vancampfort, D., Rosenbaum, S., Firth, J., Cosco, T., Veronese, N., & Schuch, F. B. (2017). An examination of the anxiolytic effects of exercise for people with anxiety and stress- related disorders : A meta-analysis Author ’ s Accepted Manuscript. Psychiatry Research, (January). http://doi.org/10.1016/j.psychres.2016.12.020.
  • Task Force of the European Society of Cardiology the North American Society of Pacing Electrophysiology (1996). Heart Rate Variability: Standards of Measurement, Physiological Interpretation, and Clinical Use. https://doi.org/10.1161/01.CIR.93.5.1043. Circulation. 1996;93:1043-1065.
  • Thogersen-Ntoumani, C., Fox, K. R., & Ntoumanis, N. (2005). Relationships between exercise and three components of mental well-being in corporate employees. Psychology of Sport and Exercise, Vol. 6, p. 609 - 627.
  • Uusitalo, A., Mets, T., Martinmäki, K., Mauno, S., Kinnunen, U., & Rusko, H. (2011). Heart rate variability related to effort at work. Appl Ergon;42(6):830-8. doi: 10.1016/j.apergo.2011.01.005.
  • van Amelsvoort, L. G., Schouten, E. G., Maan, A. C., Swenne, C. A., & Kok, F. J. (2000). Occupational determinants of heart rate variability. Int Arch Occup Environ Health.;73(4):255-62.
  • Vrijkotte, T. G., van Doornen, L. J., & de Geus, E. J. (2000). Effects of work stress on ambulatory blood pressure, heart rate, and heart rate variability. Hypertension;35(4):880-6.
  • Wolf, E. J., & Schnurr, P. P. (2017). PTSD-Related Cardiovacular Disease and Accelerated Cellular Aging. Author ’ s Accepted Manuscript. U . S . Department of Veterans Affairs, (Cvd), 527–532.
  • Youngstedt, S. D. (2005). Effects of exercise on sleep. Clin Sports Med; 24:355–365.
  • Zanstra, Y. J., Schellekens, J. M., Schaap, C., & Kooistra, L. (2006). Vagal and sympathetic activity in burnouts during a mentally demanding workday. Psychosom Med;68(4):583-90.
Fuente de los datos: Dialnet