Issue №1-83, 2018

Analysis of Bioage Using Computer Monitoring of Performance and Psycho-Emotional State as an Element of Preventive and Personalized Approach to Health Management

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1 Smirnova T.M., 1,2 Krut'ko V.N., 1 Markova A.M.

1 FGBU Institut sistemnogo analiza Federal'nogo issledovatel'skogo centra «Informatika i upravlenie» Rossijskoj akademii nauk, Moscow, Russia
2 I.M. Sechenov First Moscow State Medical University


ABSTRACT

The study was undertaken to assess the opportunities of use of the indicators of mental efficiency, sensorimotorcoordination and psycho-emotional state as markers of bioage. Analysis of age-related trends is made on the basis ofexperimental data obtained by computer system “SOPR-monitoring” in three experiments – a longitudinal one, a crosssectionalone and a mixed one. Age-related decline in the counting productivity, reaction to the moving object, somaticstate, tone and mood was detected at both individual and group level. It is shown that indicators of performance dependheavily on individual abilities to certain activities and on professional experience.Taking into account individual trends of those indicators can significantly improve the accuracy of bioage estimation,however, it requires a sufficiently long monitoring.The reported study was funded by RFBR according to the research project №17-07-00528.


KEYWORDS: bioage, aging, longitudinal study, cross-sectional study, mental performance, sensorimotor coordination, psycho-emotional state, self-testing



References:

  1. Smirnova T. M., Krut'ko V. N., Bystrickaya A. F., Vinohodova A. G., Larina I. M. Ispol'zovanie komp'yuternoj sistemy «SOPR-monitoring» dlya analiza psihicheskoj rabotosposobnosti v usloviyah privychnoj professional'noj deyatel'nosti i v slozhnyh usloviyah. Trudy Instituta sistemnogo analiza Rossijskoj akademii nauk. 2006. V. 19. 156-170. Russian.
  2. Krut'ko V. N., Markova A. M., Smirnova T. M. Results of a Long-term Computerized Self-quantification of Mental Performance, Sensorimotor Coordination and Emotional State. Methods Inf Med 2017 56 6: 448-451. DOI: https://doi.org/10.3414/ME16-02-0035.
  3. Krut'ko V. N., Smirnova T. M., Silyutina M. V., Taranina O. N. Psihologicheskie i kliniko-fiziologicheskie korrelyaty stareniya u zhenshchin. Vestnik vosstanovitel'noj mediciny. 2015. 2: 2-6. Russian.
  4. Krut’ko V. N., Smirnova T. M., Dontsov V. I., Borisov S. E. Diagnosing Aging: I. Problem of Reliability of Linear Regression Models of Biological Age. Hum Physiol. 2001. 27 6:725-31.
  5. Krut'ko V.N., Doncov V.I., Molodchenkov A.I., Potemkina A.S., Smirnov I.V. Internet-tekhnologiya dlya personalizirovannoj podderzhki zdorov'esberezheniya. Vestnik vosstanovitel'noj mediciny. 2017. 1: 90-95. Russian.



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Эта статья открытого доступа по лицензии CC BY 4.0. Издательство: ФГБУ «НМИЦ РК» Минздрава России.
This is an open article under the CC BY 4.0 license. Published by the National Medical Research Center for Rehabilitation and Balneology.