The Russian scientists’ quality of life and cognitive status


Submitted: 11 March 2021
Accepted: 7 April 2021
Published: 16 June 2021
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Aim of the study was assessment of executive functions and quality of life (QoL) among scientists aged 22-80 years working in state research centers. The screening test included several questionnairs: “Cognitive screening”, “Age is not a barrier”, “Geriatric Depression Scale" (GDS) and Social Functioning 36 (SF-36) survey. According to the assessment, the group of scientists showed problems related to physical health disorders and presence of numerous risk factors for professional efficiency decline. High rate of preasthenia (39.62%) and asthenia syndrome (11.32%) was identified. This might be due to high level of stress and informational load that causes depletion of functional organism reserves. The rate of cognitive executive functions decline was low (3.77%), stated in young age and possibly associated with depression and asthenia. In comparison to general population, Russian scientists showed a generally high level of quality of life (more than 70% in all domains), best indicators on the scales of "Body Pain" and "Vitality", but lower indicators of "Role functioning” due to the emotional state. In general, scientists’ quality of life decreased with age, especially "Physical Functioning" and "Body Pain" scales. Social skills such as "Role functioning due to emotional state" increased with age. In the scientists group, connection between cognitive functions and the quality of life was observed. Specifically, between "Physical Functioning", "General Health", "Vitality", "Social Functioning" and "Mental Health".


Roginskaya TI. Mental states, burnout syndrome in social professions. Psychological journal. 2002 (3): 95-85.

Minnibaev T Sh. Topical issues of university hygiene at the present stage. Health, education of children and young adults in XXI century. Health & Education Millennium World congress; 2004.

Ackerman P.L, Kanfer ., Goff M. Cognitive and noncognitive determinants and consequences of complex skill acquisition. Journal of Experimental Psychology: Applied 1995; 1(4): 270–304. DOI: https://doi.org/10.1037/1076-898X.1.4.270

Tucker AM, Stern Y. Cognitive reserve in aging. Current Alzheimer Research. 2011,8: 354–360. DOI: https://doi.org/10.2174/156720511795745320

Dellenbach M, Zimprich D. Typical intellectual engagement and cognition in old age. Neuropsychol Dev Cogn B Aging Neuropsychol Cogn. 2008 Mar;15(2):208-31. DOI: https://doi.org/10.1080/13825580701338094

Federal Statistical Office of Switzerland. (2016). At : https://www.bfs.admin.ch/bfs/de/home.html

Field AP, Miles J, Field Z. Discovering statistics using R. 2012; London, UK: Sage. ISBN 9781446200469

Mõttus R, Johnson W, Deary IJ. Personality traits in old age: measurement and rank-order stability and some mean-level change. Psychol Aging. 2012 Mar;27(1):243-249. DOI: https://doi.org/10.1037/a0023690

Salthouse TA. Theoretical perspectives in cognitive aging. Mahwah, NJ: Erlbaum 1991. Review by: Leah L. Light.The American Journal of Psychology, 1993;106 (4): 601-608. DOI: https://doi.org/10.2307/1422973

Salthouse TA, Ferrer-Caja E. What needs to be explained to account for age-related effects on multiple cognitive variables? Psychol Aging. 2003 Mar;18(1):91-110. DOI: https://doi.org/10.1037/0882-7974.18.1.91

Imlach AR, Ward DD, Stuart KE, Summers MJ, Valenzuela MJ, King AE, Saunders NL, Summers J, Srikanth VK, Robinson A, Vickers JC. Age is no barrier: predictors of academic success in older learners. NPJ Sci Learn. 2017 Nov 15;2:13. DOI: https://doi.org/10.1038/s41539-017-0014-5

Aschwanden D, Schumacher V, Zimmermann K, Werner C, Mathias Allemand M, Zimprich D, Martin M. Do Professors Better Maintain Cognitive Functioning in Older Age? Gero Psych. 2019; 32: 5-17. DOI: https://doi.org/10.1024/1662-9647/a000201

Salthouse TA. Mental Exercise and Mental Aging: Evaluating the Validity of the "Use It or Lose It" Hypothesis. Perspect Psychol Sci. 2006 Mar;1(1):68-87. DOI: https://doi.org/10.1111/j.1745-6916.2006.00005.x

Head D, Kennedy KM, Rodrigue KM, Raz N. Age differences in perseveration: cognitive and neuroanatomical mediators of performance on the Wisconsin Card Sorting Test. Neuropsychologia. 2009 Mar;47(4):1200-3. DOI: https://doi.org/10.1016/j.neuropsychologia.2009.01.003

Mascherek A, Zimprich D. Stability and change in typical intellectual engagement in old age across 5 years. J Gerontol B Psychol Sci Soc Sci. 2012 May;67(3):309-16. DOI: https://doi.org/10.1093/geronb/gbr101

Buckner RL. Memory and executive function in aging and AD: multiple factors that cause decline and reserve factors that compensate. Neuron. 2004 Sep 30;44(1):195-208. DOI: https://doi.org/10.1016/j.neuron.2004.09.006

Singh-Manoux A, Kivimaki M, Glymour MM, Elbaz A, Berr C, Ebmeier KP, Ferrie JE, Dugravot A. Timing of onset of cognitive decline: results from Whitehall II prospective cohort study. BMJ. 2012 Jan 5;344:d7622. DOI: https://doi.org/10.1136/bmj.d7622

Eckert MA. Slowing down: age-related neurobiological predictors of processing speed. Front Neurosci. 2011 Mar 11;5:25. DOI: https://doi.org/10.3389/fnins.2011.00025

Anstey K, Christensen H. Education, activity, health, blood pressure and apolipoprotein E as predictors of cognitive change in old age: a review. Gerontology. 2000 May-Jun;46(3):163-77. DOI: https://doi.org/10.1159/000022153

Colsher PL, Wallace RB. Longitudinal application of cognitive function measures in a defined population of community-dwelling elders. Ann Epidemiol. 1991 Feb;1(3):215-30. DOI: https://doi.org/10.1016/1047-2797(91)90001-S

Evans DA, Beckett LA, Albert MS, Hebert LE, Scherr PA, Funkenstein HH, Taylor JO. Level of education and change in cognitive function in a community population of older persons. Ann Epidemiol. 1993 Jan;3(1):71-7. DOI: https://doi.org/10.1016/1047-2797(93)90012-S

Sharp ES, Reynolds CA, Pedersen NL, Gatz M. Cognitive engagement and cognitive aging: is openness protective? Psychol Aging. 2010 Mar;25(1):60-73. DOI: https://doi.org/10.1037/a0018748

Wilson RS, Segawa E, Boyle PA, Bennett DA. Influence of late-life cognitive activity on cognitive health. Neurology. 2012 Apr 10;78(15):1123-9. DOI: https://doi.org/10.1212/WNL.0b013e31824f8c03

Yaffe K, Fiocco AJ, Lindquist K, Vittinghoff E, Simonsick EM, Newman AB, Satterfield S, Rosano C, Rubin SM, Ayonayon HN, Harris TB; Health ABC Study. Predictors of maintaining cognitive function in older adults: the Health ABC study. Neurology. 2009 Jun 9;72(23):2029-35.. DOI: https://doi.org/10.1212/WNL.0b013e3181a92c36

Shleptsova MV, Frolova EV. The prevalence of the main geriatric syndromes in the practice of an outpatient geriatrician and the possibilities of their correction. Russian Family Doctor; 2018; 22(2): 30-36. doi: 10.17816/RFD2018230-36 DOI: https://doi.org/10.17816/RFD2018230-36

McCann G. The Use of the Cognitive Status Examination in Detecting Cognitive Impairment in Elderly People. 2000. Avaliable at: https://ro.ecu.edu.au/theses/1538.

Yesavage JA. Development and validation of a geriatric depression screening scale: a preliminary report. J Psychiatr Res. 1983; 17. № 1. P. 37-49 DOI: https://doi.org/10.1016/0022-3956(82)90033-4

Ware JE Jr, Kosinski M, Bayliss MS, McHorney CA, Rogers WH, Raczek A. Comparison of methods for the scoring and statistical analysis of SF-36 health profile and summary measures: summary of results from the Medical Outcomes Study. Med Care. 1995 Apr;33(4 Suppl):AS264-79.

Savina AA. Modern features of the health status of Russian scientists and their families in the RAS system. RF HealthCare. 2010;1:29-26.

Christensen H., Henderson A.S., Griffiths K., Levings, C. Does ageing inevitably lead to declines in cognitive performance? A longitudinal study of elite academics. Personality and Individual Differences. 1997;23,67–78. doi: 10.1016/S0191-8869(97)00022-6 DOI: https://doi.org/10.1016/S0191-8869(97)00022-6

Martinez D, Collazo M, Liss M. Dimensions of teachers’ work: A proposal to approach teachers’ discomfort and psychic suffering in Argentina. Educação & Sociedade. 2009;30(107) :389-408. doi: 10.1590/S0101-733020090002000 05. DOI: https://doi.org/10.1590/S0101-73302009000200005

Robalino M, Körner A, UNESCO. Condiciones de trabajo y salud docente: estudios de casos en Argentina, Chile, Ecuador, México, Perú y Uruguay [Internet]. Santiago, Chile: UNESCO Oficina Regional de Educación para América Latina y el Caribe; 2005. 209 p. Available at: http://www.unesco.org/ulis/cgi-bin/ulis.pl?catno= 142551&set=00544FEA 502420&gp=1&lin=1&ll=1

Arbex APS, Souza KR, Mendonça ALO. Trabalho docente, readaptação e saúde: A experiência dos professores de uma universidade pública. Physis: Revista de Saúde Coletiva. 2013;23(1):263-284. doi: 10.1590/S0103-733120 13000100015. DOI: https://doi.org/10.1590/S0103-73312013000100015

Massé R, Poulin C, Dassa C, Lambert J, Bélair S, Battaglini A. The structure of mental health: Higher-order confirmatory factor analyses of psychological distress and well-being measures. Social Indicators Research. 1998; 45(1-3):475-504. doi: 10.1023/A:1006992032387. DOI: https://doi.org/10.1023/A:1006992032387

Vilas Boas AA, Morin E. Quality of working life in public higher education institutions: The perception of Brazilian and Canadian professors. International Journal of Business and Social Science. 2013;4(12):67-77. Available from: http://www.ijbssnet.com/journal/ index/2127.

VilasBoas AA, Morin EM. Psychological well-being and psychological distress for professors in Brazil and Canada. RAM – Revista de Administração Mackenzie. 2014;15(6):201- 219. doi: 10.1590/1678-69712014/administracao.v15n 6p2 01-219. DOI: https://doi.org/10.1590/1678-69712014/administracao.v15n6p201-219

De Paula A. V. d, Boas A.A.V. Well-being and Quality of Working Life of University Professors in Brazil. Chapter 10 in Quality of Life and Quality of Working Life. 2017 doi:10.5772 /intechopen. 70237. DOI: https://doi.org/10.5772/intechopen.70237

Maarof NNNA, Shamsuddin NR, Razali NM, Hadi AA, Ismail A. A comparative study of health-related quality of life among academician — A case study. 2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE). doi:10.1109/icssbe.2012.6396569 DOI: https://doi.org/10.1109/ICSSBE.2012.6396569

Vasileva, T. P., Yakushin, M. A., Makarova, E. V., Reshetnikova , P. I., Shukurlaeva , G. E., & Vasilev, M. D. (2021). The Russian scientists’ quality of life and cognitive status. European Journal of Translational Myology, 31(2). https://doi.org/10.4081/ejtm.2021.9744

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