Study of the sleep health of war victims in Ukraine using a digital tool
Abstract
Abstract
Introduction. The increased level of stress due to psychological traumatization of the population negatively affects the quality of sleep. In turn, a violation of the quality of sleep negatively affects psychological functioning and mental health. Traditional methods of sleep health correction cannot provide proper psychocorrection and psychoprophylaxis of stress-related conditions. Digital tools can become an effective alternative in this situation.
Methods. The research was conducted on the basis of the "Friend" psychological first aid chatbot in the Telegram messenger. Data processing was carried out using Jamovi software.
The results. Indicators of sleep quality of the respondents: 49.9% had a moderate level of sleep problems, 31% - subthreshold problems, and 13% - severe problems. More than half of users chose the sleep branch in the chatbot, which indicates a high level of interest in sleep health issues, the "Routine" category was the most visited. The analysis of the questions of the ISI questionnaire showed that the questions related to satisfaction with the quality of sleep are especially relevant for users. Users with severe sleep problems turned to the chatbot more often. Understanding the importance of sleep can influence the specifics of using a chatbot.
Conclusions. The results of our study highlight the peculiarities of the sleep health of the war-affected population. Digital interventions can be an effective and timely solution to make psychological care accessible and convenient. There is a need to investigate the level of user engagement with digital tools and the aspects that influence it.
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References
2. Rolls, A., Schaich Borg, J., & de Lecea, L. (2010). Sleep and metabolism: role of hypothalamic neuronal circuitry. Best practice & research. Clinical endocrinology & metabolism, 24(5), 817–828. https://doi.org/10.1016/j.beem.2010.08.002
3. Rizzi, D., Ciuffo, G., Sandoli, G., Mangiagalli, M., de Angelis, P., Scavuzzo, G., Nych, M., Landoni, M., & Ionio, C. (2022). Running Away from the War in Ukraine: The Impact on Mental Health of Internally Displaced Persons (IDPs) and Refugees in Transit in Poland. International journal of environmental research and public health, 19(24), 16439. https://doi.org/10.3390/ijerph192416439
4. Mallampalli, M. P., & Carter, C. L. (2014). Exploring sex and gender differences in sleep health: a Society for Women's Health Research Report. Journal of women's health (2002), 23(7), 553–562. https://doi.org/10.1089/jwh.2014.4816
5. Schwab, R. J. (2020, June). MSD Manual Consumer Version: Insomnia and Excessive Daytime Sleepiness (EDS). Retrieved October 22, 2020, from https://www.msdmanuals.com/home/brain,-spinal-cord,-and-nerve-disorders/sleep-disorders/insomnia-and-excessive-daytime-sleepiness-eds
6. Aji, M., Glozier, N., Bartlett, D. J., Grunstein, R. R., Calvo, R. A., Marshall, N. S., White, D. P., & Gordon, C. (2021). The Effectiveness of Digital Insomnia Treatment with Adjunctive Wearable Technology: A Pilot Randomized Controlled Trial. Behavioral sleep medicine, 1–14.
7. Pulantara, I. W., Parmanto, B., & Germain, A. (2018). Clinical Feasibility of a Just-in-Time Adaptive Intervention App (iREST) as a Behavioral Sleep Treatment in a Military Population: Feasibility Comparative Effectiveness Study. Journal of medical Internet research, 20(12), e10124.
8. Germain, A., Markwald, R. R., King, E., Bramoweth, A. D., Wolfson, M., Seda, G., Han, T., Miggantz, E., O'Reilly, B., Hungerford, L., Sitzer, T., Mysliwiec, V., Hout, J. J., & Wallace, M. L. (2021). Enhancing behavioral sleep care with digital technology: study protocol for a hybrid type 3 implementation-effectiveness randomized trial. Trials, 22(1), 46.
9. Lin, C. Y., Cheng, A. S. K., Nejati, B., Imani, V., Ulander, M., Browall, M., Griffiths, M. D., Broström, A., & Pakpour, A. H. (2020). A thorough psychometric comparison between Athens Insomnia Scale and Insomnia Severity Index among patients with advanced cancer. Journal of sleep research, 29(1), e12891. https://doi.org/10.1111/jsr.12891
10. Torous, J., Bucci, S., Bell, I. H., Kessing, L. V., Faurholt-Jepsen, M., Whelan, P., Carvalho, A. F., Keshavan, M., Linardon, J., & Firth, J. (2021). The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality. World psychiatry : official journal of the World Psychiatric Association (WPA), 20(3), 318–335. https://doi.org/10.1002/wps.20883
11. Sorkin, D. H., Janio, E. A., Eikey, E. V., Schneider, M., Davis, K., Schueller, S. M., Stadnick, N. A., Zheng, K., Neary, M., Safani, D., & Mukamel, D. B. (2021). Rise in Use of Digital Mental Health Tools and Technologies in the United States During the COVID-19 Pandemic: Survey Study. Journal of medical Internet research, 23(4), e26994. https://doi.org/10.2196/26994
12. Morin, C. M., Belleville, G., Bélanger, L., & Ivers, H. (2011). The Insomnia Severity Index: psychometric indicators to detect insomnia cases and evaluate treatment response. Sleep, 34(5), 601–608. https://doi.org/10.1093/sleep/34.5.601
13. Michaud, A. L., Zhou, E. S., Chang, G., & Recklitis, C. J. (2021). Validation of the Insomnia Severity Index (ISI) for identifying insomnia in young adult cancer survivors: comparison with a structured clinical diagnostic interview of the DSM-5 (SCID-5). Sleep medicine, 81, 80–85. https://doi.org/10.1016/j.sleep.2021.01.045
14. Freeman, D., Sheaves, B., Goodwin, G. M., Yu, L. M., Nickless, A., Harrison, P. J., Emsley, R., Luik, A. I., Foster, R. G., Wadekar, V., Hinds, C., Gumley, A., Jones, R., Lightman, S., Jones, S., Bentall, R., Kinderman, P., Rowse, G., Brugha, T., Blagrove, M., … Espie, C. A. (2017). The effects of improving sleep on mental health (OASIS): a randomised controlled trial with mediation analysis. The lancet. Psychiatry, 4(10), 749–758. https://doi.org/10.1016/S2215-0366(17)30328-0
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