Neuropsychological Performance and Cardiac Autonomic Function in Blue- and White-Collar Workers: A Psychometric and Heart Rate Variability Evaluation
Abstract
:1. Introduction
2. Materials and Methods
2.1. Participant Recruitment
2.2. Experimental Methodology
2.2.1. Neuropsychological Tasks
2.2.2. Heart Rate Variability
2.3. Statistical Analysis
3. Results
3.1. Demographic Data of Blue and White-Collar Workers
3.2. Neuropsychological Performance of Blue and White-Collar Workers
3.3. HRV in Blue and White-Collar Workers
4. Discussion
4.1. Heart Rate Variability Parameters during Neuropsychological Performance
4.1.1. Spatial Working Memory
4.1.2. Rapid Visual Processing
4.1.3. Spatial Span
4.2. Comparison of Neuropsychological Performance between Blue and White-Collar Workers
4.2.1. Attention Switching
4.2.2. Rapid Visual Processing/Spatial Span
4.3. Limitations and Future Directions
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Koopman, C.; Pelletier, K.R.; Murray, J.F.; Sharda, C.E.; Berger, M.L.; Turpin, R.S.; Hackleman, P.; Gibson, P.; Holmes, D.M.; Bendel, T. Stanford presenteeism scale: Health status and employee productivity. J. Occup. Environ. Med. 2002, 44, 14–20. [Google Scholar] [CrossRef] [PubMed]
- Prihartono, N.A.; Fitriyani, F.; Riyadina, W. Cardiovascular disease risk factors among blue and white-collar workers in Indonesia. Acta Med. Indones. 2018, 50, 96–103. [Google Scholar] [PubMed]
- Graham, I.; Atar, D.; Borch-Johnsen, K.; Boysen, G.; Burell, G.; Cifkova, R.; Dallongeville, J.; De Backer, G.; Ebrahim, S.; Gjelsvik, B.; et al. European guidelines on cardiovascular disease prevention in clinical practice: Executive summary: Fourth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (Constituted by representatives of nine societies and by invited experts). Eur. Heart J. 2007, 28, 2375–2414. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Diamond, A. Executive functions. Annu. Rev. Psychol. 2013, 64, 135–168. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Will Crescioni, A.; Ehrlinger, J.; Alquist, J.L.; Conlon, K.E.; Baumeister, R.F.; Schatschneider, C.; Dutton, G.R. High trait self-control predicts positive health behaviors and success in weight loss. J. Health Psychol. 2011, 16, 750–759. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Bailey, C.E. Cognitive accuracy and intelligent executive function in the brain and in business. Ann. N. Y. Acad. Sci. 2007, 1118, 122–141. [Google Scholar] [CrossRef]
- Broidy, L.M.; Nagin, D.S.; Tremblay, R.E.; Bates, J.E.; Brame, B.; Dodge, K.A.; Fergusson, D.; Horwood, J.L.; Loeber, R.; Laird, R.; et al. Developmental trajectories of childhood disruptive behaviors and adolescent delinquency: A six-site, cross-national study. Dev. Psychol. 2003, 39, 222–245. [Google Scholar] [CrossRef]
- Roman, D.D.; Kubo, S.H.; Ormaza, S.; Francis, G.S.; Bank, A.J.; Shumway, S.J. Memory improvement following cardiac transplantation. J. Clin. Exp. Neuropsychol. 1997, 19, 692–697. [Google Scholar] [CrossRef]
- Pumprla, J.; Howorka, K.; Groves, D.; Chester, M.; Nolan, J. Functional assessment of heart rate variability: Physiological basis and practical applications. Int. J. Cardiol. 2002, 84, 1–14. [Google Scholar] [CrossRef]
- Olshansky, B.; Sabbah, H.N.; Hauptman, P.J.; Colucci, W.S. Parasympathetic nervous system and heart failure: Pathophysiology and potential implications for therapy. Circulation 2008, 118, 863–871. [Google Scholar] [CrossRef] [Green Version]
- Triposkiadis, F.; Karayannis, G.; Giamouzis, G.; Skoularigis, J.; Louridas, G.; Butler, J. The sympathetic nervous system in heart failure physiology, pathophysiology, and clinical implications. J. Am. Coll. Cardiol. 2009, 54, 1747–1762. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Hansen, A.L.; Johnsen, B.H.; Thayer, J.F. Vagal influence on working memory and attention. Int. J. Psychophysiol. 2003, 48, 263–274. [Google Scholar] [CrossRef] [PubMed]
- Duschek, S.; Muckenthaler, M.; Werner, N.; del Paso, G.A. Relationships between features of autonomic cardiovascular control and cognitive performance. Biol. Psychol. 2009, 81, 110–117. [Google Scholar] [CrossRef] [PubMed]
- Gianaros, P.J.; Van Der Veen, F.M.; Jennings, J.R. Regional cerebral blood flow correlates with heart period and high-frequency heart period variability during working-memory tasks: Implications for the cortical and subcortical regulation of cardiac autonomic activity. Psychophysiology 2004, 41, 521–530. [Google Scholar] [CrossRef] [Green Version]
- Johnsen, B.H.; Thayer, J.F.; Laberg, J.C.; Wormnes, B.; Raadal, M.; Skaret, E.; Kvale, G.; Berg, E. Attentional and physiological characteristics of patients with dental anxiety. J. Anxiety Disord. 2003, 17, 75–87. [Google Scholar] [CrossRef]
- Stroop, J.R. Studies of interference in serial verbal reactions. J. Exp. Psychol. 1935, 18, 643–661. [Google Scholar] [CrossRef]
- Muthukrishnan, S.-P.; Gurja, J.-P.; Ratna, S. Is Heart Rate Variability Related to Cognitive Performance in Visuospatial Working Memory? Stress and Cognitive Electroimaging Laboratory, Department of Physiology, all India Institute of Medical Sciences: New Delhi, India, 2015. [Google Scholar]
- Haley, A.P.; Sweet, L.H.; Gunstad, J.; Forman, D.E.; Poppas, A.; Paul, R.H.; Tate, D.F.; Cohen, R.A. Verbal working memory and atherosclerosis in patients with cardiovascular disease: An fMRI study. J. Neuroimaging 2007, 17, 227–233. [Google Scholar] [CrossRef]
- Rostamian, S.; van Buchem, M.A.; Westendorp, R.G.; Jukema, J.W.; Mooijaart, S.P.; Sabayan, B.; de Craen, A.J. Executive function, but not memory, associates with incident coronary heart disease and stroke. Neurology 2015, 85, 783–789. [Google Scholar] [CrossRef]
- National Heart Foundation of Australia (NHFA). Guide to Management of Hypertension 2008-Assessing and Managing Raised Blood Pressure in Adults Updated 2010; National Heart Foundation: Melbourne, Australia, 2010. [Google Scholar]
- Roeser, K.; Obergfell, F.; Meule, A.; Vogele, C.; Schlarb, A.A.; Kubler, A. Of larks and hearts: Morningness/eveningness, heart rate variability and cardiovascular stress response at different times of day. Physiol. Behav. 2012, 106, 151–157. [Google Scholar] [CrossRef]
- Pickering, T.G.; Hall, J.E.; Appel, L.J.; Falkner, B.E.; Graves, J.; Hill, M.N.; Jones, D.W.; Kurtz, T.; Sheps, S.G.; Roccella, E.J.; et al. Recommendations for blood pressure measurement in humans and experimental animals: Part 1: Blood pressure measurement in humans: A statement for professionals from the Subcommittee of Professional and Public Education of the American Heart Association Council on High Blood Pressure Research. Hypertension 2005, 45, 142–161. [Google Scholar] [CrossRef]
- Goldberg, D.P. The Detection of Psychiatric Illness by Questionnaire; Oxford University Press: London, UK, 1972; Volume 21. [Google Scholar]
- Combatalade, D.C. Basics of Heart Rate Variability Applied to Psychophysiology; Thought Technology Ltd.: Montreal, QC, Canada, 2010. [Google Scholar]
- Berntson, G.G.; Bigger, J.T., Jr.; Eckberg, D.L.; Grossman, P.; Kaufmann, P.G.; Malik, M.; Nagaraja, H.N.; Porges, S.W.; Saul, J.P.; Stone, P.H.; et al. Heart rate variability: Origins, methods, and interpretive caveats. Psychophysiology 1997, 34, 623–648. [Google Scholar] [CrossRef] [PubMed]
- Cambridge Cognition. CANTAB (Cognitive Assessment Software); Cambridge Cognition: Cambridge, UK, 2021. [Google Scholar]
- Tarvainen, M.P.; Niskanen, J.-P.; Lipponen, J.A.; Ranta-aho, P.O.; Karjalainen, P.A. Kubios HRV—Heart rate variability analysis software. Comput. Methods Programs Biomed. 2014, 113, 210–220. [Google Scholar] [CrossRef] [PubMed]
- Tarvainen, M.P.; Ranta-aho, P.O.; Karjalainen, P.A. An advanced detrending method with application to HRV analysis. IEEE Trans. Biomed. Eng. 2002, 49, 172–175. [Google Scholar] [CrossRef]
- Myrtek, M.; Fichtler, A.; Strittmatter, M.; Brügner, G. Stress and strain of blue and white collar workers during work and leisure time: Results of psychophysiological and behavioral monitoring. Appl. Ergon. 1999, 30, 341–351. [Google Scholar] [CrossRef] [PubMed]
- Voelker, R. Highest heart disease and stroke rates in service, blue collar jobs. J. Am. Med. Assoc. 2014, 312, 1090. [Google Scholar] [CrossRef]
- Clougherty, J.E.; Souza, K.; Cullen, M.R. Work and its role in shaping the social gradient in health. Ann. N. Y. Acad. Sci. 2010, 1186, 102–124. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Berntson, G.G.; Cacioppo, J.T.; Grossman, P. Whither vagal tone. Biol. Psychol. 2007, 74, 295–300. [Google Scholar] [CrossRef]
- Hamaad, A.; Sosin, M.; Blann, A.D.; Patel, J.; Lip, G.Y.H.; MacFadyen, R.J. Markers of inflammation in acute coronary syndromes: Association with increased heart rate and reductions in heart rate variability. Clin. Cardiol. 2005, 28, 570–576. [Google Scholar] [CrossRef]
- Thayer, J.F.; Yamamoto, S.S.; Brosschot, J.F. The relationship of autonomic imbalance, heart rate variability and cardiovascular disease risk factors. Int. J. Cardiol. 2010, 141, 122–131. [Google Scholar] [CrossRef]
- Hillebrand, S.; Gast, K.; de Mutsert, R.; Swenne, C.A.; Jukema, J.; Middeldorp, S.; Rosendaal, F.; Dekkers, O. Heart rate variability and first cardiovascular event in populations without known cardiovascular disease: Meta-analysis and dose–response meta-regression. Europace 2013, 15, 742–749. [Google Scholar] [CrossRef]
- Liu, L.; Zhao, M.; Yu, X.; Zang, W. Pharmacological modulation of vagal nerve activity in cardiovascular diseases. Neurosci. Bull. 2019, 35, 156–166. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Psychari, S.N.; Apostolou, T.S.; Iliodromitis, E.K.; Kourakos, P.; Liakos, G.; Kremastinos, D.T. Inverse relation of C-reactive protein levels to heart rate variability in patients after acute myocardial infarction. Hell. J. Cardiol. 2007, 48, 64–71. [Google Scholar]
- Dėdelė, A.; Miškinytė, A.; Andrušaitytė, S.; Bartkutė, Ž. Perceived stress among different occupational groups and the interaction with sedentary behaviour. Int. J. Environ. Res. Public Health 2019, 16, 4595. [Google Scholar] [CrossRef] [Green Version]
- Nydegger, R. Occupational stress and job satisfaction in white-and blue-collar workers. Int. Bus. Econ. Res. J. 2002, 1. [Google Scholar] [CrossRef]
- Clays, E.; De Bacquer, D.; Crasset, V.; Kittel, F.; de Smet, P.; Kornitzer, M.; Karasek, R.; De Backer, G. The perception of work stressors is related to reduced parasympathetic activity. Int. Arch. Occup. Environ. Health 2011, 84, 185–191. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Nguyen, C.T.; Couture, M.C.; Alvarado, B.E.; Zunzunegui, M.V. Life course socioeconomic disadvantage and cognitive function among the elderly population of seven capitals in Latin America and the Caribbean. J. Aging Health 2008, 20, 347–362. [Google Scholar] [CrossRef]
- Finkel, D.; Andel, R.; Gatz, M.; Pedersen, N.L. The role of occupational complexity in trajectories of cognitive aging before and after retirement. Psychol. Aging 2009, 24, 563–573. [Google Scholar] [CrossRef] [Green Version]
- Then, F.S.; Luck, T.; Luppa, M.; Thinschmidt, M.; Deckert, S.; Nieuwenhuijsen, K.; Seidler, A.; Riedel-Heller, S.G. Systematic review of the effect of the psychosocial working environment on cognition and dementia. Occup. Environ. Med. 2014, 71, 358–365. [Google Scholar] [CrossRef]
- Kim, H.-J.; Min, J.-Y.; Min, K.-B. The association between longest-held lifetime occupation and late-life cognitive impairment: Korean longitudinal study of aging (2006-2016). Int. J. Environ. Res. Public Health 2020, 17, 6270. [Google Scholar] [CrossRef]
- Folstein, M.F.; Folstein, S.E.; McHugh, P.R. Mini-mental state. A practical method for grading the cognitive state of patients for the clinician. J. Psychiatr. Res. 1975, 12, 189–198. [Google Scholar] [CrossRef]
- Capuana, L.J.; Dywan, J.; Tays, W.J.; Segalowitz, S.J. Cardiac workload and inhibitory control in younger and older adults. Biol. Psychol. 2012, 90, 60–70. [Google Scholar] [CrossRef] [PubMed]
- Li, C.Y.; Wu, S.C.; Sung, F.C. Lifetime principal occupation and risk of cognitive impairment among the elderly. Ind. Health 2002, 40, 7–13. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Schooler, C. Psychological effects of complex environments during the life span: A review and theory. Intelligence 1984, 8, 259–281. [Google Scholar] [CrossRef]
- Schooler, C.; Mulatu, M.S.; Oates, G. Occupational self-direction, intellectual functioning, and self-directed orientation in older workers: Findings and Iimplications for individuals and societies. Am. J. Sociol. 2004, 110, 161–197. [Google Scholar] [CrossRef] [Green Version]
- Alvarado, B.E.; Zunzunegui, M.V.; Del Ser, T.; Béland, F. Cognitive decline is related to education and occupation in a Spanish elderly cohort. Aging Clin. Exp. Res. 2002, 14, 132–142. [Google Scholar] [CrossRef]
- Zhang, M.; Gale, S.D.; Erickson, L.D.; Brown, B.L.; Woody, P.; Hedges, D.W. Cognitive function in older adults according to current socioeconomic status. Neuropsychol. Dev. Cogn. Sect. B Aging Neuropsychol. Cogn. 2015, 22, 534–543. [Google Scholar] [CrossRef]
- Lee, Y.; Back, J.H.; Kim, J.; Byeon, H. Multiple socioeconomic risks and cognitive impairment in older adults. Dement. Geriatr. Cogn. Disord. 2010, 29, 523–529. [Google Scholar] [CrossRef] [PubMed]
- Owen, A.M.; Hampshire, A.; Grahn, J.A.; Stenton, R.; Dajani, S.; Burns, A.S.; Howard, R.J.; Ballard, C.G. Putting brain training to the test. Nature 2010, 465, 775–778. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Workplace Gender Equality Agency (WGEA). Gender Segregation in Australia’s Workforce; WGEA: Sydney, Australia, 2019.
Demographic | White-Collar (Mean ± SD) | Blue-Collar (Mean ± SD) | p |
---|---|---|---|
Years of Age | 39.83 ± 10.98 | 36.85 ± 11.28 | 0.19 |
Male (n; %) Female (n; %) | n = 25 (52%) n = 23 (48%) | n = 42 (81%) n = 11 (19%) | |
BMI | 23.54 ± 2.40 | 22.7 ± 2 | 0.06 |
Education (years) | 4.33 ± 1.20 | 3.4 ± 1.20 | <0.001 |
GHQ Score | 6.88 ± 2.08 | 6.9 ± 2 | 0.87 |
Task | Variable | F | df | p | White-Collar Workers Mean ± SD | Blue-Collar Workers Mean ± SD | Mean Difference (White-Blue) |
---|---|---|---|---|---|---|---|
AST | Incongruent Errors | 1.25 | 99 | 0.04 | 8 ± 3.14 | 9.4 ± 3.62 | −1.40 |
Errors (side) | 3.21 | 99 | 0.02 | 4.33 ± 2.56 | 3.19 ± 2.16 | 1.14 | |
Total Correct | 0.03 | 99 | 0.01 | 144.20 ± 8.53 | 139.43 ± 9.80 | 4.77 | |
RVP | Signal Detection | 0.03 | 99 | 0.002 | 0.90 ± 0.08 | 0.85 ± 0.08 | 0.05 |
SSP | Total Errors | 1.30 | 99 | 0.003 | 13.48 ± 5.65 | 9.74 ± 6.55 | 3.74 |
Task | Variable | F | df | p | White-Collar Mean ± SD | Blue-Collar Mean ± SD | Mean Difference (White-Blue) |
---|---|---|---|---|---|---|---|
SWM | Log LF (ms2) | 0.69 | 99 | 0.004 | 6.33 ± 0.60 | 6.01 ± 0.48 | 0.31 |
Log LF/HF | 0.66 | 99 | 0.02 | 1.61 ± 0.83 | 1.22 ± 0.84 | 0.39 | |
Log TP (ms2) | 1.59 | 99 | 0.02 | 6.7 ± 0.52 | 6.48 ± 0.37 | 0.22 | |
RVP | Log LF (ms2) | 5.41 | 79.87 | <0.001 | 6.16 ± 0.47 | 6.44 ± 0.33 | −0.29 |
Log HF (ms2) | 7.84 | 78.50 | 0.03 | 5.04 ± 0.60 | 5.28 ± 0.42 | −0.233 | |
Log TP (ms2) | 11.72 | 74.72 | <0.001 | 6.61 ± 0.44 | 6.89 ± 0.27 | −0.28 | |
Log SDNN (ms) | 11.1 | −3.82 | <0.001 | 3.39 ± 0.22 | 3.53 ± 0.12 | −0.14 | |
SSP | Log HF (ms2) | 0.67 | 98 | 0.03 | 4.81 ± 0.58 | 5.07 ± 0.67 | −0.27 |
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Eslami, A.; Nassif, N.T.; Lal, S. Neuropsychological Performance and Cardiac Autonomic Function in Blue- and White-Collar Workers: A Psychometric and Heart Rate Variability Evaluation. Int. J. Environ. Res. Public Health 2023, 20, 4203. https://doi.org/10.3390/ijerph20054203
Eslami A, Nassif NT, Lal S. Neuropsychological Performance and Cardiac Autonomic Function in Blue- and White-Collar Workers: A Psychometric and Heart Rate Variability Evaluation. International Journal of Environmental Research and Public Health. 2023; 20(5):4203. https://doi.org/10.3390/ijerph20054203
Chicago/Turabian StyleEslami, Ardalan, Najah T. Nassif, and Sara Lal. 2023. "Neuropsychological Performance and Cardiac Autonomic Function in Blue- and White-Collar Workers: A Psychometric and Heart Rate Variability Evaluation" International Journal of Environmental Research and Public Health 20, no. 5: 4203. https://doi.org/10.3390/ijerph20054203
APA StyleEslami, A., Nassif, N. T., & Lal, S. (2023). Neuropsychological Performance and Cardiac Autonomic Function in Blue- and White-Collar Workers: A Psychometric and Heart Rate Variability Evaluation. International Journal of Environmental Research and Public Health, 20(5), 4203. https://doi.org/10.3390/ijerph20054203