Prognosis of suicidal risk among law enforcement officials including military personnel
E.S. Shchelkanova, M.R. Nazarova, I.M. Gudimov, N.A. Galkin, E.A. Zhurbin
Military Innovative Technopolis “ERA”, 41 Pionerskii Ave., Krasnodar Krai, Anapa, 353456, Russian Federation
Suicide is a major medical and social concern for law enforcement, a contemporary army included, not only in Russia but abroad as well. In recent years, frequency of suicides and suicidal attempts has been growing among law enforcement officials (LEOs), military personnel included. Therefore, it seems relevant to develop a model for predicting suicide risk.
In this study, our aim was to develop a model for predicting suicide risk in LEOs based on express testing results. Our research object was represented by LEOs (n = 591), their average age being 23.71 ± 1.12 years.
To assess suicide risk, we used a questionnaire for suicide risk assessment ‘SSR-2’, which is a part of DAP-2 methodology for deviant behavior research, and a clinical-psychopathological method. LEOs’ personality characteristics and their current psychophysiological state were identified by using vibration imaging, a technology for recording and mathematically analyzing micro-vibrations of the head and face. It has certain advantages over its analogues.
We determined psychophysiological characteristics, basic abilities (types of Gardner’s multiple intelligence) and moral qualities that differed in people with elevated suicide risk against the control. We identified a difference between unconscious reactions of the examined people to stimuli and declared (conscious) ones, which indicates that LEOs tend to hide any signs of suicidal behavior in them. A mathematical model was built for predicting suicide risk: we developed an integral suicide risk assessment and created a probabilistic nomogram that makes it possible to establish likelihood of suicidal behavior signs with accuracy above 98 % relying on results obtained by a 5-minute express test.
Use of this predictive model helps identify those people among personnel who should undergo a profound check-up by a psychological support team. Our research results can serve as a basis for creating an objective concept for diagnostics of suicide risk factors in LEOs.
- Harutyunyan S.O., Seregin D.A., Dnov K.V., Yusupov V.V., Yatmanov A.N. Mathematical model for prediction of suicidal behavior of military personnel. Zhivaya psikhologiya, 2023, vol. 10, no. 1 (41), pp. 29–38. DOI: 10.58551/24136522_2023_10_1_29 (in Russian).
- Holliday R., Borges L.M., Stearns-Yoder K.A., Hoffberg A.S., Brenner L.A., Monteith L.L. Posttraumatic stress disorder, suicidal ideation, and suicidal self-directed violence among US military personnel and veterans: a systematic review of the literature from 2010 to 2018. Front. Psychol., 2020, vol. 11, pp. 1998. DOI: 10.3389/fpsyg.2020.01998
- Moradi Y., Dowran B., Sepandi M. The global prevalence of depression, suicide ideation, and attempts in the military forces: a systematic review and Meta-analysis of cross sectional studies. BMC Psychiatry, 2021, vol. 21, no. 1, pp. 510. DOI: 10.1186/s12888-021-03526-2
- Shamrei V.K., Dnov K.V., Evdokimov V.I. Actual problems of prevention of suicide in the armed forces of the Russian Federation. Mediko-biologicheskie i sotsial'no-psikhologicheskie problemy bezopasnosti v chrezvychainykh situatsiyakh, 2019, no. 4, pp. 50–58. DOI: 10.25016/2541-7487-2019-0-4-50-58 (in Russian).
- Willmund G.-D., Heß J., Helms C., Wertenauer F., Seiffert A., Nolte A., Wesemann U., Zimmermann P.L. Suicides between 2010 and 2014 in the German Armed Forces – Comparison of Suicide Registry Data and a German Armed Forces Survey. Suicide Life Threat. Behav., 2019, vol. 49, no. 5, pp. 1497–1509. DOI: 10.1111/sltb.12534
- Shelef L., Essami N., Birani A., Hartal M., Yavnai N. Personal and psychiatric characteristics among Druze soldiers attempting suicide during military service. J. Affect. Disord., 2019, vol. 256, pp. 486–494. DOI: 10.1016/j.jad.2019.06.011
- Aldarova D.A. Prognozirovanie suitsidal'nogo povedeniya [Prediction of suicidal behavior]. Intellektual'nye sistemy v nauke i tekhnike. Iskusstvennyi intellekt v reshenii aktual'nykh sotsial'nykh i ekonomicheskikh problem XXI veka [Intelligent systems in science and technology. Artificial intelligence in solving urgent social and economic problems of the 21st century]: sbornik statei po materialam Mezhdunarodnoi konferentsii i Shestoi vserossiiskoi nauchno-prakticheskoi konferentsii. In: L.N. Yasnitskii ed., 2020, pp. 536–542 (in Russian).
- Bulygina V.G., Shport S.V., Dubinsky A.A., Pronicheva M.M. Occupational risk factors affecting mental health of professionals with dangerous jobs (a review of foreign studies). Mediko-biologicheskie i sotsial'no-psikhologicheskie problemy bezopasnosti v chrezvychainykh situatsiyakh, 2017, no. 3, pp. 93–100. DOI: 10.25016/2541- 7487-2017-0-3-93-100 (in Russian).
- Prykhodko I., Matsegora Y., Kolesnichenko O., Pasichnik V., Kuruch O., Yurieva N., Krav¬chenko O. Psychological Markers of Suicides in Military Service During Wartime: A Contemporary Example. International journal of psychology and psychological therapy, 2021, vol. 21, no. 1, pp. 47–57.
- Davidouski S.V., Ibragimova J.A., Goncharik A.V., Kartun L.V., Leonov N.N., Danilova L.I., Kuzhal V.V., Zalesskaya I.S. [et al.]. A classification method for predicting suicide risk. Izvestiya Natsional'noi akademii nauk Belarusi. Seriya meditsinskikh nauk, 2020, vol. 17, no. 2, pp. 248–256. DOI: 10.29235/1814-6023-2020-17-2-248-256 (in Russian).
- Schuck A., Calati R., Barzilay S., Bloch-Elkouby S., Galynker I. Suicide Crisis Syndrome: A review of supporting evidence for a new suicide‐specific diagnosis. Behav. Sci. Law, 2019, vol. 37, no. 3, pp. 223–239. DOI: 10.1002/bsl.2397
- Hassan S.B., Hassan S.B., Zakia U. Recognizing suicidal intent in depressed population using NLP: a pilot study. 2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). Vancouver, BC, Canada, IEEE, 2020, pp. 0121–0128. DOI: 10.1109/IEMCON51383.2020.9284832
- Minkin V.A. Vibroizobrazhenie, kibernetika i emotsii [Vibration imaging, cybernetics and emotions]. St. Petersburg, OOO «Renome» Publ., 2020, 164 p. DOI: 10.25696/ELSYS.B.RU.VCE.2020 (in Russian).
- Minkin V.A., Nikolaenko N.N. Application of vibraimage technology and system for analysis of motor activity and study of functional state of the human body. Biomed. Eng., 2008, vol. 42, no. 4, pp. 196–200. DOI: 10.1007/s10527-008-9045-9
- Ivanovsky V.S., Shchelkanova E.S., Markin I.V. Psychophysiological express control of persons of hazardous occupations operating weapons systems. Meditsina katastrof, 2021, no. 1, pp. 45–50. DOI: 10.33266/2070-1004-2021-1-45-50 (in Russian).
- Shchelkanova E.S., Zhurbin E.A., Markin I.V., Bitik O.V. Vibraimage technology applica-tion in the fields of medical and psychophysiological maintenance of military personnel. Sovremennaya psikhofiziologiya. Tekhnologiya vibroizobrazheniya, 2021, no. 1 (4), pp. 127–133. DOI: 10.25696/ELSYS.VC4.RU.11 (in Russian).
- Shchelkanova E.S. Rapid noncontact diagnostics of psychophysiological state in workers of hazardous industries. Mediko-biologicheskie i sotsial'no-psikhologicheskie problemy bezopasnosti v chrezvychainykh situatsiyakh, 2019, no. 2, pp. 111–120. DOI: 10.25016/2541-7487-2019-0-2-111-120 (in Russian).
- Minkin V.A., Akimov V.A., Lobanova E.G., Martynov O.E., Shchelkanova E.S., Kond-ratev V.A., Pishchugin M.V., Sturchak I.S. [et al.]. Blitz judgment concept update and testing statis-tics. Sovremennaya psikhofiziologiya. Tekhnologiya vibroizobrazheniya, 2023, no. 1 (6), pp. 47–69. DOI: 10.25696/ELSYS.VC6.RU.04 (in Russian).
- Miroshnik E.V., Bobrov A.F. Prenosological express analysis of the factors of the "neurotic tetrad of danger" and the resources of the motivational personality profile in assessing the level of mental health of specialists in helping professions. Sovremennaya psikhofiziologiya. Tekhnologiya vibroizobrazheniya [Modern Psychophysiology. The Vibraimage Technology]: The 6th International Open Science Conference, St. Petersburg, 2023, pp. 209–216. DOI: 10.25696/Elsys_MPVT_06_ru19 (in Russian).
- Baevskii R.M., Ivanov G.G., Gavrilushkin A.P., Dovgalevskii P.Ya., Kukushkin Yu.A., Mironova T.F., Prilutskii D.A., Semenov A.V. [et al.]. Analiz variabel'nosti serdechnogo ritma pri ispol'zovanii razlichnykh elektrokardiograficheskikh sistem (Chast' 1) [Analysis of heart rate variability using various electrocardiographic systems (part 1)]. Vestnik aritmologii, 2001, no. 24, pp. 65–86 (in Russian).
- Novikov A.A., Smolensky A.V., Mikhailova A.V. Approaches to assessing heart rate variability (literature review). Journal of new medical technologies, eEdition, 2023, vol. 17, no. 3, pp. 85–94. DOI: 10.24412/2075-4094-2023-3-3-3 (in Russian).
- Shabanov G.A., Rybchenko A.A., Lebedev Yu.A., Pripatinskaya E.A. Studying the rela-tionship of human head microvibrations with rhythmic activity of the central nervous system in-duced by photostimulation. Sovremennye problemy nauki i obrazovaniya, 2020, no. 5, pp. 100. DOI: 10.17513/spno.30145 (in Russian).
- Fegan J., Doherty A.M. Adjustment disorder and suicidal behaviors presenting in the general medical setting: a systematic review. Int. J. Environ. Res. Public Health, 2019, vol. 16, no. 16, pp. 2967. DOI: 10.3390/ijerph16162967
- Gardner H. Frames of mind. The theory of multiple intelligence. In: translation from English. Moscow, «I.D. Vil'yams» Publ., 2007, 512 p. (in Russian).