Kazakhstani Drivers and Substance Abuse During COVID-19: A Study of Patterns and Disaster Readiness
Abstract
:1. Introduction
2. Materials and Methods
2.1. The Database
2.2. Study Design and Proceedings
2.3. Definitions Used
2.4. Statistical Analysis
2.5. Ethics Statement
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
COVID-19 | Coronavirus disease 2019 |
PAS | Psychoactive substances |
RTAs | Road traffic accidents |
NHTSA | National Highway Traffic Safety Administration |
References
- Di Trana, A.; Carlier, J.; Berretta, P.; Zaami, S.; Ricci, G. Consequences of COVID-19 Lockdown on the Misuse and Marketing of Addictive Substances and New Psychoactive Substances. Front. Psychiatry 2020, 11, 584462. [Google Scholar] [CrossRef]
- Ghosh, A.; Choudhury, S.; Singh, S.M.; Basu, A. SARS-CoV-2 and Extended Lockdown: A New Lesson for India’s Alcohol Policy? J. Stud. Alcohol. Drugs 2020, 81, 520–521. [Google Scholar] [PubMed]
- Beccegato, E.; Angiola, F.; Favretto, D.; Ruggeri, A.; Terranova, C. Coronavirus lockdown: Excessive alcohol consumption and illicit substance use in DUI subjects. Traffic Inj. Prev. 2021, 22, 355–360. [Google Scholar] [CrossRef] [PubMed]
- Dubey, S.; Biswas, P.; Ghosh, R.; Chatterjee, S.; Dubey, M.J.; Chatterjee, S.; Lahiri, D.; Lavie, C.J. Psychosocial impact of COVID-19. Diabetes Metab. Syndr. 2020, 14, 779–788. [Google Scholar] [CrossRef]
- Vindegaard, N.; Benros, M.E. COVID-19 pandemic and mental health consequences: Systematic review of the current evidence. Brain Behav. Immun. 2020, 89, 531–542. [Google Scholar] [CrossRef]
- Clay, J.M.; Parker, M.O. Alcohol use and misuse during the COVID-19 pandemic: A potential public health crisis? Lancet Public Health 2020, 5, e259. [Google Scholar] [CrossRef]
- Murkar, A.; Kendzerska, T.; Shlik, J.; Quilty, L.; Saad, M.; Robillard, R. Increased cannabis intake during the COVID-19 pandemic is associated with worsening of depression symptoms in people with PTSD. BMC Psychiatry 2022, 22, 554. [Google Scholar] [CrossRef]
- European Monitoring Centre for Drugs and Drug Addiction (EMCDDA). EMCDDA Trendspotter Briefing: Impact of COVID-19 on Patterns of Drug Use and Drug-Related Harms in Europe. 2020. Available online: https://www.emcdda.europa.eu/publications/ad-hoc-publication/impact-covid-19-patterns-drug-use-and-harms_en (accessed on 11 November 2024).
- Troyer, E.A.; Kohn, J.N.; Hong, S. Are we facing a crashing wave of neuropsychiatric sequelae of COVID-19? Neuropsychiatric symptoms and potential immunologic mechanisms. Brain Behav. Immun. 2020, 87, 34–39. [Google Scholar] [CrossRef]
- Dong, X.; Xie, K.; Yang, H. How did COVID-19 impact driving behaviors and crash Severity? A multigroup structural equation modeling. Accid. Anal. Prev. 2022, 172, 106687. [Google Scholar] [CrossRef]
- Zuo, F.; Wang, J.; Gao, J.; Ozbay, K.; Ban, X.J.; Shen, Y.; Yang, H.; Iyer, S. An interactive data visualization and analytics tool to evaluate mobility and sociability trends during COVID-19. arXiv 2020, arXiv:2006.14882. [Google Scholar]
- Vanlaar, W.G.M.; Woods-Fry, H.; Barrett, H.; Lyon, C.; Brown, S.; Wicklund, C.; Robertson, R.D. The impact of COVID-19 on road safety in Canada and the United States. Accid. Anal. Prev. 2021, 160, 106324. [Google Scholar] [CrossRef] [PubMed]
- Hostiuc, S.; Radu, D.; Seretean, L.; Tirdea, C.; Siminiuc, R.; Curcă, G.C. Driving under the influence of alcohol during the COVID-19 pandemic. Forensic Sci. Int. 2021, 329, 111076. [Google Scholar] [CrossRef] [PubMed]
- Semenova, Y.; Kalmatayeva, Z.; Oshibayeva, A.; Mamyrbekova, S.; Kudirbekova, A.; Nurbakyt, A.; Baizhaxynova, A.; Colet, P.; Glushkova, N.; Ivankov, A.; et al. Seropositivity of SARS-CoV-2 in the Population of Kazakhstan: A Na-tionwide Laboratory-Based Surveillance. Int. J. Environ. Res. Public Health 2022, 19, 2263. [Google Scholar] [CrossRef] [PubMed]
- Kazinform International News Agency. Available online: https://www.inform.kz/ru/p-yanyh-pravonarushiteley-za-rulem-stalo-men-she-v-kazahstane_a3663175 (accessed on 18 June 2020).
- Informburo.kz. Available online: https://informburo.kz/novosti/prodazhi-alkogolya-v-kazahstane-vyrosli-na-11-v-2020-godu-analitiki-svyazyvayut-eto-s-karantinnymi-ogranicheniyami (accessed on 28 May 2021).
- United Nations Office on Drugs and Crime. Regional Representation in Central Asia. Available online: https://www.unodc.org/documents/drug-prevention-and-treatment/UN-Covid19-infographic-200328-5070.pdf (accessed on 13 November 2024).
- Kassym, L.; Kussainova, A.; Semenova, Y.; Kussainov, A.; Marapov, D.; Zhanaspayev, M.; Urazalina, Z.; Akhmetova, A.; Tokanov, M.; Smail, Y.; et al. Worldwide Prevalence of Alcohol Use in Non-Fatally Injured Motor Vehicle Drivers: A Systematic Review and Meta-Analysis. Healthcare 2023, 11, 758. [Google Scholar] [CrossRef]
- Minister of Healthcare of the Republic of Kazakhstan. Available online: https://adilet.zan.kz/rus/docs/V2000021680 (accessed on 25 November 2020).
- Doss, M.K.; de Wit, H.; Gallo, D.A. The acute effects of psychoactive drugs on emotional episodic memory encoding, consolidation, and retrieval: A comprehensive review. Neurosci. Biobehav. Rev. 2023, 150, 105188. [Google Scholar] [CrossRef]
- Kassa, A.; Taddesse, F.; Yilma, A. Prevalence and factors determining psychoactive substance (PAS) use among Hawassa University (HU) undergraduate students, Hawassa Ethiopia. BMC Public Health 2014, 14, 1044. [Google Scholar] [CrossRef]
- Nixon, S.J.; Garcia, C.C.; Lewis, B. Women’s use of alcohol: Neurobiobehavioral concomitants and consequences. Front. Neuroendocr. 2023, 70, 101079. [Google Scholar] [CrossRef]
- Wong, K.U.; Baum, C.R. Acute Cannabis Toxicity. Pediatr. Emerg. Care 2019, 35, 799–804. [Google Scholar] [CrossRef]
- Oldham, J.M. Opioids. J. Psychiatr. Pract. 2020, 26, 1–2. [Google Scholar] [CrossRef]
- QGIS Geographic Information System, Open Source Geospatial Foundation Project. Available online: https://www.qgis.org/en/site/ (accessed on 27 February 2023).
- Semenova, Y.; Lim, L.; Salpynov, Z.; Gaipov, A.; Jakovljevic, M. Historical evolution of healthcare systems of post-soviet Russia, Belarus, Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, Uzbekistan, Armenia, and Azerbaijan: A scoping review. Heliyon 2024, 10, e29550. [Google Scholar] [CrossRef]
- Saladié, Ò.; Bustamante, E.; Gutiérrez, A. COVID-19 lockdown and reduction of traffic accidents in Tarragona province, Spain. Transp. Res. Interdiscip. Perspect. 2020, 8, 100218. [Google Scholar] [CrossRef] [PubMed]
- Qureshi, A.I.; Huang, W.; Khan, S.; Lobanova, I.; Siddiq, F.; Gomez, C.R.; Suri, M.F.K. Mandated societal lockdown and road traffic accidents. Accid. Anal. Prev. 2020, 146, 105747. [Google Scholar] [CrossRef] [PubMed]
- National Highway Traffic Safety Administration, Part of the U.S. Department of Transportation. Available online: https://www.nhtsa.gov/crash-data-systems/fatality-analysis-reporting-system (accessed on 19 December 2024).
- Stavrinos, D.; McManus, B.; Mrug, S.; He, H.; Gresham, B.; Albright, M.G.; Svancara, A.M.; Whittington, C.; Underhill, A.; White, D.M. Adolescent driving behavior before and during restrictions related to COVID-19. Accid. Anal. Prev. 2020, 144, 105686. [Google Scholar] [CrossRef] [PubMed]
- Thomas, F.D.; Berning, A.; Darrah, J.; Graham, L.; Blomberg, R.; Griggs, C.; Crandall, M.; Schulman, C.; Kozar, R.; Neavyn, M.; et al. Drug and Alcohol Prevalence in Se-Riously and Fatally Injured Road Users Before and During the COVID-19 Public Health Emergency; National Highway Traffic Safety Administration: Washington, DC, USA, 2020.
- Yermukanov, M. Kazakhstan and Russia renew efforts to curb drug trafficking. Eurasia Dly. Monit. 2007, 4, 153. Available online: https://jamestown.org/program/kazakhstan-and-russia-renew-efforts-to-curb-drug-trafficking/ (accessed on 24 December 2024).
- Pierce, M.; Hope, H.; Ford, T.; Hatch, S.; Hotopf, M.; John, A.; Kontopantelis, E.; Webb, R.; Wessely, S.; McManus, S. Mental health before and during the COVID-19 pandemic: A longitudinal probability sample survey of the UK population. Lancet Psychiatry 2020, 7, 883–892. [Google Scholar]
- PaperLab Public Policy Research Center. 2023. Available online: https://paperlab.kz/#rec163441660 (accessed on 14 January 2025).
- Hyland, P.; Shevlin, M.; Murphy, J.; McBride, O.; Fox, R.; Bondjers, K.; Karatzias, T.; Bentall, R.P.; Martinez, A.; Vallières, F. A longitudinal assessment of depression and anxiety in the Republic of Ireland before and during the COVID-19 pandemic. Psychiatry Res. 2021, 300, 113905. [Google Scholar] [CrossRef]
- Gori, A.; Topino, E. Across the COVID-19 Waves; Assessing Temporal Fluctuations in Perceived Stress, Post-Traumatic Symptoms, Worry, Anxiety and Civic Moral Disengagement over One Year of Pandemic. Int. J. Environ. Res. Public Health 2021, 18, 5651. [Google Scholar] [CrossRef]
- Kristianssen, A.C.; Andersson, R.; Belin, M.Å.; Nilsen, P. Swedish Vision Zero policies for safety—A comparative policy con-tent analysis. Saf. Sci. 2018, 103, 260–269. [Google Scholar] [CrossRef]
- Bhattacharjee, A.; Ghosh, T. COVID-19 Pandemic and Stress: Coping with the New Normal. J. Prev. Health Promot. 2022, 3, 30–52. [Google Scholar] [CrossRef]
- Republican State Enterprise on the Right of Economic Management “Republican Scientific and Practical Center for Mental Health” of the Ministry of Health of the Republic of Kazakhstan. Available online: https://mentalcenter.kz/ru/o-nas (accessed on 14 January 2025).
- Methadone: Evil or Benefit? The Future of Substitution Therapy for Drug Dependence. Available online: https://rus.azattyq.org/a/kazakhstan-methadone-drug-addiction-treatment-project/31356654.html (accessed on 15 July 2021).
- Panahi, O. The Asian Financial Crisis of 1997–1998 Revisited: Causes, Recovery and the Path Going Forward (Research Paper); Asia Pacific University of Technology and Innovation: Kuala Lumpur, Malaysia, 2006; Available online: https://www.researchgate.net/publication/299467654 (accessed on 16 January 2025).
- Burkardt, H.J. Pandemic H1N1 2009 (’swine flu’): Diagnostic and other challenges. Expert Rev. Mol. Diagn. 2011, 11, 35–40. [Google Scholar] [CrossRef]
- Amirgazin, A.; Shevtsov, A.; Karibayev, T.; Berdikulov, M.; Kozhakhmetova, T.; Syzdykova, L.; Ramankulov, Y.; Shustov, A.V. Highly pathogenic avian influenza virus of the A/H5N8 subtype, clade 2.3.4.4b, caused outbreaks in Kazakhstan in 2020. PeerJ 2022, 10, e13038. [Google Scholar] [CrossRef] [PubMed]
- Syssoyeva, R.V. 2022 January events and CSTO peacekeeping mission in Kazakhstan. Vestnik RUDN. Int. Relat. 2023, 23, 241–252. [Google Scholar] [CrossRef]
- The Astana times. Tracing Kazakhstan’s Seasonal Floods Through Time. Available online: https://astanatimes.com/2024/04/tracing-kazakhstans-seasonal-floods-through-time/ (accessed on 11 April 2024).
- Centola, C.; Tagliabue, M.; Spoto, A.; Palpacelli, M.; Giorgetti, A.; Giorgetti, R.; Vidotto, G. Enhancement of unsafe behaviors in simulated moped-riding performance under the influence of low dose of alcohol. Accid. Anal. Prev. 2020, 136, 105409. [Google Scholar] [CrossRef] [PubMed]
- Scherer, M.; Fell, J.C. Effectiveness of lowering the blood alcohol concentration (BAC) limit for driving from 0.10 to 0.08 grams per deciliter in the United States. Traffic Inj. Prev. 2019, 20, 1–8. [Google Scholar] [CrossRef]
- Vindenes, V.; Boix, F.; Koksæter, P.; Strand, M.C.; Bachs, L.; Mørland, J.; Gjerde, H. Drugged driving arrests in Norway before and after the implementation of per se law. Forensic Sci. Int. 2014, 245, 171–177. [Google Scholar] [CrossRef]
- Csete, J.; Kamarulzaman, A.; Kazatchkine, M.; Altice, F.; Balicki, M.; Buxton, J.; Cepeda, J.; Comfort, M.; Goosby, E.; Goulão, J.; et al. Public health and international drug policy. Lancet 2016, 387, 1427–1480. [Google Scholar] [CrossRef]
- Alhefeiti, M.A.; Barker, J.; Shah, I. Roadside Drug Testing Approaches. Molecules 2021, 26, 3291. [Google Scholar] [CrossRef]
- Russia’s 2024 Blood Alcohol Limits for Drivers. Available online: https://drinkdrivelimits.com/europe/drink-driving-laws-in-russia/#:~:text=In%20Russia%2C%20the%20legal%20alcohol,Penalties%20and%20Punishments%20in%20Russia (accessed on 16 January 2025).
- Ministry of Internal Affairs of the Republic of Kazakhstan. Available online: https://www.gov.kz/memleket/entities/prokuratura-shymkent/press/news/details/435744?lang=ru (accessed on 5 October 2022).
- Ministry of Digital Development, Innovation and Aerospace Industry of the Republic of Kazakhstan. Available online: https://evak.online/about/info/smi-o-nas/item/32-sdelano-v-kazakhstane-sistema-ekstrennogo-vyzova-pri-avariyakh-pomozhet-dazhe-evrope/32-sdelano-v-kazakhstane-sistema-ekstrennogo-vyzova-pri-avariyakh-pomozhet-dazhe-evrope (accessed on 5 October 2020).
- Marat, E.; Botoeva, G. Drug Trafficking, Violence and Corruption in Central Asia; SOC ACE Research Paper No. 7; University of Birmingham: Birmingham, UK, 2022; Available online: https://www.birmingham.ac.uk/documents/college-social-sciences/government-society/publications/drug-trafficking-violence-and-corruption-in-central-asia-research-paper.pdf (accessed on 18 January 2025).
Pre-COVID-19 Period | COVID-19 Period | Total | |
---|---|---|---|
Gender. n (%) | |||
Male | 88,941 (91.30) | 55,218 (91.91) | 144,159 (91.54) |
Female | 8473 (8.70) | 4858 (8.09%) | 13,331 (8.46) |
Age | |||
M (SD) | 36.17 (12.15) | 36.10 (12.25) | 36.14 (12.19) |
Me (Q1-Q3) | 33.00 (27.00–44.00) | 33.00 (27.00–43.00) | 33.00 (27.00–43.00) |
Age groups. n (%) | |||
<18 yrs | 976 (1.00) | 738 (1.23) | 1714 (1.09) |
18–44 yrs | 73,649 (75.60) | 45,531 (75.79) | 119,180 (75.67) |
45–59 yrs | 17,611 (18.08) | 10,458 (17.41) | 28,069 (17.82) |
60–74 yrs | 4919 (5.05) | 3167 (5.27) | 8086 (5.13) |
75–90 yrs | 259 (0.27) | 181 (0.30) | 440 (0.28) |
>90 yrs | 0 (0.0) | 1 (0.00) | 1 (0.00) |
Prevalent Cases, ×102 (95% CI) | ||||||
---|---|---|---|---|---|---|
Pre-COVID-19 Period | COVID-19 Period | Rate Difference (95% CI) | Percentage Change (%) | Chi-Square Test | p Value | |
Alcohol | 16.98 (16.75–17.22) | 17.61 (17.31–17.92) | −0.63 (−1.01 to −0.24) | 3.71 | 10.417 | 0.001 |
Cannabinoids | 1.39 (1.32–1.47) | 1.55 (1.45–1.65) | −0.16 (−0.285 to −0.03) | 11.51 | 6.633 | 0.010 |
Opioids | 0.20 (0.17–0.23) | 0.18 (0.15–0.22) | 0.01 (−0.03 to 0.05) | −10.00 | 0.363 | 0.547 |
Region | Incident Cases. ×10 2 (95% CI) | |||||
---|---|---|---|---|---|---|
Pre-COVID-19 | COVID-19 | Rate Difference (95% CI) | Percentage Change (%) | Chi-Square Test | p Value | |
Shymkent City | 6.10 (5.73–6.49) | 6.82 (6.32–7.35) | −0.72 (−1.37 to −0.08) | 11.80 | 4.995 | 0.025 |
Aqmola region | 35.66 (31.59–39.94) | 32.94 (30.43–35.56) | 2.71 (−2.22 to 7.78) | −7.63 | 1.189 | 0.275 |
Aktobe region | 20.84 (20.11–21.59) | 18.53 (17.60–19.49) | 2.30 (1.08 to 3.51) | −11.08 | 13.800 | 0.000 |
Almaty region | 14.09 (13.15–15.08) | 12.59 (10.30–15.31) | 1.49 (−1.45 to 4.05) | −10.65 | 1.109 | 0.292 |
Atyrau region | 24.42 (23.44–25.42) | 47.57 (45.36–49.78) | −23.14 (−25.59 to −20.69) | 94.80 | 397.688 | 0.000 |
East Kazakhstan region | 22.46 (21.79–23.14) | 22.06 (21.10–23.05) | 0.40 (−0.80 to 1.58) | −1.78 | 0.439 | 0.508 |
Zhambyl region | 16.10 (15.30–16.94) | 11.53 (10.62–12.51) | 4.56 (3.28 to 5.81) | −28.39 | 47.226 | 0.000 |
Karagandy region | 14.05 (13.55–14.57) | 15.14 (14.40–15.92) | −1.09 (−2.02 to 0.17) | 7.76 | 5.571 | 0.018 |
Kostanay region | 33.66 (32.06–35.30) | 34.12 (32.50–35.78) | −0.46 (−2.79–1.86) | 1.37 | 0.155 | 0.693 |
Kyzylorda region | 18.37 (17.37–19.41) | 20.60 (19.30–21.96) | −2.23 (−3.93 to −0.55) | 12.14 | 6.973 | 0.008 |
Mangystau region | 21.70 (20.27–23.20) | 14.42 (13.38–15.54) | 7.28 (5.44 to 9.13) | −33.55 | 63.682 | 0.000 |
Pavlodar region | 9.68 (8.93–10.49) | 13.11 (12.36–13.91) | −3.43 (−4.53 to −2.31) | 35.43 | 36.168 | 0.000 |
North Kazakhstan region | 40.97 (36.81–45.27) | 53.68 (48.66–58.64) | −12.71 (−19.34 to −5.93) | 31.02 | 14.212 | 0.000 |
Turkestan region | 23.58 (16.52–32.50) | 20.13 (18.44–21.93) | 3.45 (−4.23 to 13.03) | −14.63 | 0.744 | 0.388 |
Nationwide | 16.98 (16.75–17.22) | 17.61 (17.31–17.92) | −0.63 (−1.01 to −0.24) | 3.71 | 10.417 | 0.001 |
Region | Incident Cases. ×10 2 (95% CI) | |||||
---|---|---|---|---|---|---|
Pre-COVID-19 | COVID-19 | Rate Difference (95% CI) | Percentage Change (%) | Chi-Square Test | p Value | |
Shymkent city | 1.22 (1.06–1.41) | 1.53 (1.30–1.80) | −0.30 (−0.62 to −0.001) | 25.41 | 4.044 | 0.044 |
Aqmola region | 2.59 (1.52–4.38) | 2.64 (1.90–3.67) | −0.05 (−1.62 to 2.01) | 1.93 | 0.004 | 0.951 |
Aktobe region | 3.14 (2.84–3.48) | 2.66 (2.30–3.09) | 0.47 (−0.05 to 0.98) | −15.29 | 3.264 | 0.071 |
Almaty region | 1.57 (1.26–1.96) | 0.74 (0.32–1.72) | 0.83 (−0.29 to 1.44) | −52.87 | 2.842 | 0.092 |
Atyrau region | 0.89 (0.70–1.14) | 2.20 (1.64–2.96) | −1.31 (−2.11 to −0.67) | 147.19 | 22.794 | 0.0001 |
East Kazakhstan region | 1.74 (1.54–1.97) | 1.52 (1.26–1.84) | 0.21 (−0.16 to 0.57) | −12.64 | 1.379 | 0.240 |
Zhambyl region | 1.96 (1.67–2.29) | 1.80 (1.45–2.24) | 0.15 (−0.38 to 0.65) | −8.16 | 0.369 | 0.543 |
Karagandy region | 0.27 (0.20–0.36) | 0.44 (0.32–0.60) | −0.16 (−0.34 to −0.01) | 62.96 | 4.812 | 0.028 |
Kostanay region | 0.80 (0.54–1.16) | 0.62 (0.40–0.96) | 0.17 (−0.27 to 0.62) | −22.50 | 0.677 | 0.411 |
Kyzylorda region | 0.13 (0.06–0.26) | 0.20 (0.10–0.41) | −0.07 (−0.30 to 0.11) | 53.85 | 0.696 | 0.404 |
Mangystau region | 2.20 (1.74–2.79) | 3.35 (2.84–3.95) | −1.15 (−1.92 to −0.35) | 52.27 | 8.270 | 0.004 |
Pavlodar region | 1.68 (1.37–2.05) | 1.59 (1.33–1.91) | 0.08 (−0.36 to 0.55) | −5.36 | 0.141 | 0.707 |
North Kazakhstan region | 0.39 (0.11–1.40) | 0.79 (0.27–2.30) | −0.40 (−2.12 to 0.90) | 102.56 | 0.633 | 0.426 |
Turkestan region | 1.89 (0.52–6.62) | 1.48 (1.04–2.10) | 0.40 (−1.28 to 5.85) | −21.69 | 0.113 | 0.737 |
Nationwide | 1.39 (1.32–1.47) | 1.55 (1.45–1.65) | −0.16 (−0.28 to −0.03) | 11.51 | 6.633 | 0.010 |
Region | Incident Cases. ×10 2 (95% CI) | |||||
---|---|---|---|---|---|---|
Pre-COVID-19 | COVID-19 | Rate Difference (95% CI) | Percentage Change (%) | Chi-Square Test | p Value | |
Shymkent city | 0.01 (0.00–0.05) | 0.03 (0.01–0.09) | −0.02 (−0.09 to 0.01) | 200.00 | 2.297 | 0.130 |
Aqmola region | 1.00 (0.43–2.31) | 0.62 (0.32–1.22) | 0.37 (−0.53 to 1.86) | −38.00 | 0.702 | 0.402 |
Aktobe region | 0.85 (0.70–1.03) | 0.48 (0.34–0.68) | 0.36 (0.10–0.60) | −43.53 | 7.879 | 0.005 |
Almaty region | 0.06 (0.02–0.18) | 0.15 (0.03–0.83) | −0.09 (−0.93 to 0.10) | 150.00 | 0.662 | 0.416 |
Atyrau region | 0.11 (0.06–0.22) | 0.41 (0.21–0.81) | −0.30 (−0.73 to −0.05) | 272.73 | 7.991 | 0.005 |
East Kazakhstan region | 0.27 (0.20–0.37) | 0.14 (0.08–0.26) | 0.12 (−0.02 to 0.24) | −48.15 | 3.183 | 0.074 |
Zhambyl region | 0.05 (0.02–0.13) | 0.05 (0.01–0.17) | 0.006 (−0.13 to 0.10) | 0.00 | 0.022 | 0.882 |
Karagandy region | 0.08 (0.05–0.14) | 0.05 (0.02–0.12) | 0.03 (−0.05 to 0.10) | −37.50 | 1.120 | 0.290 |
Kostanay region | 0.15 (0.05–0.36) | 0.19 (0.09–0.41) | −0.03 (−0.29 to 0.21) | 26.67 | 0.111 | 0.739 |
Kyzylorda region | 0.00 | 0.00 | - | - | - | |
Mangystau region | 0.26 (0.13–0.52) | 0.44 (0.28–0.70) | −0.18 (−0.48 to 0.14) | 69.23 | 1.555 | 0.212 |
Pavlodar region | 0.04 (0.01–0.13) | 0.25 (0.15–0.42) | −0.20 (−0.36 to −0.06) | 525.00 | 8.906 | 0.003 |
North Kazakhstan region | 0.39 (0.11–1.40) | 0.00 | - | −100.00 | - | - |
Turkestan region | 0.00 | 0.00 | - | - | - | - |
Nationwide | 0.20 (0.17–0.23) | 0.18 (0.15–0.22) | 0.01 (−0.03 to 0.05) | −10.00 | 0.363 | 0.547 |
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Kussainova, A.; Kussainov, A.; Kassym, L.; Baikenov, Y.; Kozhakhmetova, D.; Mukanova, D.; Adilgozhina, S.; Orazalina, A.; Smail, Y. Kazakhstani Drivers and Substance Abuse During COVID-19: A Study of Patterns and Disaster Readiness. Healthcare 2025, 13, 756. https://doi.org/10.3390/healthcare13070756
Kussainova A, Kussainov A, Kassym L, Baikenov Y, Kozhakhmetova D, Mukanova D, Adilgozhina S, Orazalina A, Smail Y. Kazakhstani Drivers and Substance Abuse During COVID-19: A Study of Patterns and Disaster Readiness. Healthcare. 2025; 13(7):756. https://doi.org/10.3390/healthcare13070756
Chicago/Turabian StyleKussainova, Assiya, Almas Kussainov, Laura Kassym, Yerbolat Baikenov, Dana Kozhakhmetova, Dinara Mukanova, Saltanat Adilgozhina, Ainash Orazalina, and Yerbol Smail. 2025. "Kazakhstani Drivers and Substance Abuse During COVID-19: A Study of Patterns and Disaster Readiness" Healthcare 13, no. 7: 756. https://doi.org/10.3390/healthcare13070756
APA StyleKussainova, A., Kussainov, A., Kassym, L., Baikenov, Y., Kozhakhmetova, D., Mukanova, D., Adilgozhina, S., Orazalina, A., & Smail, Y. (2025). Kazakhstani Drivers and Substance Abuse During COVID-19: A Study of Patterns and Disaster Readiness. Healthcare, 13(7), 756. https://doi.org/10.3390/healthcare13070756