Assessment of Occupational Based Stress and Internal Coherence Related with Quality of Life Through Heartrate Variability (HRV) - A Cross Sectional Study
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Abstract
Background: This study aimed to evaluate occupation-based stress levels and internal coherence in individuals visiting dental clinics of a tertiary care hospital using heart rate variability (HRV) measures. Occupational stress can significantly influence various aspects of quality of life, including emotional health and cardiovascular risks.
Objective: The primary objective was to assess the relationship between occupational stress, internal coherence, and quality of life through HRV metrics in a diverse population.
Methods: This cross-sectional study was conducted over six months, enrolling 323 voluntary participants aged 18 years and older, irrespective of gender, ethnic background, or occupation. Participants were informed about the study and provided consent one day prior to their participation. HRV recordings were taken for six minutes in a quiet, temperature-controlled room after a 30-minute relaxation period. HRV sensors were applied to either the index finger or earlobe based on the participant's choice. Data were analyzed using emWave Pro Plus and Kubios HRV software. Statistical analysis was performed using SPSS version 25, with numerical variables reported as medians and interquartile ranges and categorical variables as frequencies and percentages.
Results: The study comprised 161 males (49.8%) and 162 females (50.2%), with an age range of 18-65 years. Sympathetic activity increased with age, while younger participants exhibited higher parasympathetic activity. The median SDNN was 78.70 ms (IQR 43.8, 148.0) for males and 60.0 ms (IQR 35.1, 132.2) for females. The coherence levels were low across all age groups, and the stress index scores increased with age. Specifically, the stress index was higher in older age groups, with males aged 54-65 years showing a median stress index score of 45.8% in the high-stress category, compared to 17.9% in males aged 18-29 years.
Conclusion: The findings highlight the significant impact of occupational stress on HRV and overall well-being. Sympathetic activity increased with age, and stress levels were higher in older participants. These results underscore the importance of work-life balance and stress management strategies to mitigate cardiovascular risks and improve quality of life.
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References
Constitution of the World Health Organization. Geneva, Switzerland: World Health Organization; 2006. Available from: http://www.who.int/governance/eb/who_constitution_en.pdf. Accessed January 18, 2011.
Gil-Montoya JA, Ferreira de Mello AL, Barrios R, Gonzalez-Moles MA, Bravo M. Oral Health in the Elderly Patient and Its Impact on General Well-Being: A Nonsystematic Review. Clin Interv Aging. 2015;10:461-7.
Yoshikawa T, Toyofuku A. Psychopharmacology and Oral Psychosomatic Disorder. Nihon Rinsho. 2012;70(1):122-5.
Babapour AR, Gahassab-Mozaffari N, Fathnezhad-Kazemi A. Nurses’ Job Stress and Its Impact on Quality of Life and Caring Behaviors: A Cross-Sectional Study. BMC Nurs. 2022;21(1):1-10.
Post M. Definitions of Quality of Life: What Has Happened and How to Move On. Top Spinal Cord Inj Rehabil. 2014;20(3):167-80.
Baiju RM, Peter EL, Varghese NO, Sivaram R. Oral Health and Quality of Life: Current Concepts. J Clin Diagn Res. 2017;11(6).
Pihlaja M, Tuominen P, Peräkylä J, Hartikainen KM. Occupational Burnout Is Linked With Inefficient Executive Functioning, Elevated Average Heart Rate, and Decreased Physical Activity in Daily Life-Initial Evidence From Teaching Professionals. Brain Sci. 2022;12(12):1723.
Seipäjärvi SM, Tuomola A, Juurakko J, Rottensteiner M, Rissanen AP, Kurkela JL, et al. Measuring Psychosocial Stress With Heart Rate Variability-Based Methods in Different Health and Age Groups. Physiol Meas. 2022;43(5):55-62.
Shaffer F, Ginsberg JP. An Overview of Heart Rate Variability Metrics and Norms. Front Public Health. 2017;5:258-65.
McCraty R. Exploring the Role of the Heart in Human Performance. Science of the Heart. 2016;2:70.
Suresh KV, Shenai P, Chatra L, Ronad YA, Bilahari N, Pramod RC, et al. Oral Mucosal Diseases in Anxiety and Depression Patients: Hospital Based Observational Study From South India. J Clin Exp Dent. 2015;7(1).
Sassi R, Cerutti S, Lombardi F, Malik M, Huikuri HV, Peng CK, et al. Advances in Heart Rate Variability Signal Analysis: Joint Position Statement by the e-Cardiology ESC Working Group and the European Heart Rhythm Association Co-Endorsed by the Asia Pacific Heart Rhythm Society. Europace. 2015;17(9):1341-53.
Lo EW, Wei YH, Hwang BF. Association Between Occupational Burnout and Heart Rate Variability: A Pilot Study in a High-Tech Company in Taiwan. Medicine. 2020;99(2).
Kobayashi H, Park BJ, Miyazaki Y. Normative References of Heart Rate Variability and Salivary Alpha-Amylase in a Healthy Young Male Population. J Physiol Anthropol. 2012;31:1-8.
Järvelin-Pasanen S, Sinikallio S, Tarvainen MP. Heart Rate Variability and Occupational Stress—Systematic Review. Ind Health. 2018;56(6):500-11.
Borchini R, Bertù L, Ferrario MM, Veronesi G, Bonzini M, Dorso M, et al. Prolonged Job Strain Reduces Time-Domain Heart Rate Variability on Both Working and Resting Days Among Cardiovascular-Susceptible Nurses. Int J Occup Med Environ Health. 2015;28(1):42-51.
McCraty R, Shaffer F. Heart Rate Variability: New Perspectives on Physiological Mechanisms, Assessment of Self-Regulatory Capacity, and Health Risk. Glob Adv Health Med. 2015;4(1):46-61.
Baevsky RM. Methodical Recommendations Use Kardivar System for Determination of the Stress Level and Estimation of the Body Adaptability Standards of Measurements and Physiological Interpretation. 2008:1-42.
Soer R, Vos D, Hofstra B, Reneman MF. Heart Coherence Training Combined With Back School in Patients With Chronic Non-Specific Low Back Pain: First Pragmatic Clinical Results. Appl Psychophysiol Biofeedback. 2014;39(3-4):259-67.
Sahoo TK, Mahapatra A, Ruban N. Stress Index Calculation and Analysis Based on Heart Rate Variability of ECG Signal With Arrhythmia. In: 2019 Innovations in Power and Advanced Computing Technologies (i-PACT). 2019 Mar 22;1:1-7. IEEE.
Umetani K, Singer DH, McCraty R, Atkinson M. Twenty-Four Hour Time Domain Heart Rate Variability and Heart Rate: Relations to Age and Gender Over Nine Decades. J Am Coll Cardiol. 1998;31(3):593-601.
Thayer JF, Ahs F, Fredrikson M, Sollers JJ, Wager TD. 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. 2012;36:74.
Kim HG, Cheon EJ, Bai DS, Lee YH, Koo BH. Stress and Heart Rate Variability: A Meta-Analysis and Review of the Literature. Psychiatry Investig. 2018;15(3):235.