CONJUNCTIVITIS IN UNDERAGES OF THE REPUBLIC OF BASHKORTOSTAN (EPIDEMIOLOGICAL INDICATORS FOR 2016-2022 AND CURRENT ETIOPATHOGENETIC FACTORS OF THEIR FORMATION)
Abstract
The aim of the work is to study the dynamics of the incidence of conjunctivitis in children and adolescents in the Republic of Bashkrtostan in 2016-2022, to consider the etiopathogenetic factors of their formation and the possible relationship with the conjunctival component of computer vision syndrome.
Material and methods. In the course of the work, data on the incidence of conjunctivitis were analyzed on the basis of statistical form No. 12 "Information on the number of diseases registered in patients living in the service area of a medical organization" for the period from 2016 to 2022.
Results. An estimation the amount of conjunctivitis in children and adolescents aged 0-17 years in the Republic of Bashkortostan (statistical form No. 12) showed its decrease during the studied period from 2016 to 2022, the rate of decline in the total group of surveyed was 17.7%. A more detailed analysis of the incidence of conjunctivitis revealed its pronounced age-related characteristics: the decrease in incidence was maximum in adolescents 15-17 years old (rate of decline 41.0%), in the age group 0-14 years the rate of decrease was 14.4%. In children 0-14 years old the average annual rate of primary incidence of conjunctivitis (1851±100.1 cases per 100 thousand population of the corresponding age) was statistically significantly (p<0.001) higher than the corresponding indicator (1251.0±94.8 cases) in the age group 15-17 years. In children under 4 and 5-9 years of age, an increase in the incidence of conjunctivitis was detected, and in the younger group the increase (45.0%) was ten times higher than this figure in the group of children 5-9 years old (4.9%). The results are analyzed from modern clinical and experimental positions, according to which a significant role in the pathogenesis of conjunctivitis is played by the violation of coordinated synergic immune protective and nervous regulatory mechanisms aimed to ensure the normal functioning of the eyes.
About the Authors
R. R. AkhmadeevRussian Federation
E. R. Shammasova
Russian Federation
O. R. Mukhamadeeva
Russian Federation
O. I. Orenburkina
Russian Federation
R. T. Mukhamadeeva
Russian Federation
References
1. Kazinskaya N.V., Evgraphov V.Yu., Il’inskaya I.A. Viral conjunctivitis in children: the specific clinical features and treatment. Russian Journal of Clinical Ophthalmology. 2022;22(3):191–196 (in Russ.). DOI: 10.32364/2311-7729-2022-22-3-191-196.
2. Conjunctivitis. Clinical recommendations [electronic resource]. 2021. URL: https://cr.minzdrav.gov.ru/schema/629_1 (access date: 12.02.2024).
3. Sidorenko E.I. [et al.]. General principles and methods for laboratory diagnosis of conjunctivitis in children. Russian Ophthalmology of Children. 2016; 4: 14-31 (in Russ.).
4. Enthoven C.A. [et al.]. The impact of computer use on myopia development in childhood: the generation R study. Prev. Med. 2020; 132: 105988. (in Engl)
5. Liu J. [et al.] Sympathetic nerves positively regulate eosinophil-driven allergic conjunctivitis via α1-adrenergic receptor signaling. Am. J. Pathol. 2020; 190(6):1298-1308. (in Engl)
6. Kanukollu V.M., B.C. Patel Herpes simplex ophthalmicus [electronic resource]. StatPearls. 2023. URL: https://www.ncbi.nlm.nih.gov/books/NBK559194/ (access date: 14.02.2024).
7. Kabata H., D. Artis Neuro-immune crosstalk and allergic inflammation. J. Clin. Invest. 2019; 129(4):1475-1482.
8. Elieh A.K.D., T. Rambasek, L. Bielory Clinical implications of mast cell involvement in allergic conjunctivitis. Allergy.2018;73(3):528-539. (in Engl)
9. The definition and classification of dry eye disease: report of the Definition and Classification Subcommittee of the International Dry Eye WorkShop. Ocul. Surf. 2007; 5(2):75-92. (in Engl)
10. Moon J.H., Lee M.Y., Moon N.J. Association between video display terminal use and dry eye disease in school children. J. Pediatr. Ophthalmol. Strabismus. 2014; 51(2):87-92. (in Engl)
11. Ahmadeev R.R. [et al.]. Pupillography and interpupillary asymmetry as psychovegetative indicators of internet addiction in adolescents. Bulletin of Medical Science. 2023; 29(1): 24-30 (in Russ.).
12. Sheppard A.L., Wolffsohn J.S. Digital eye strain: prevalence, measurement and amelioration. BMJ Open Ophthalmol. 2018;16(3(1)): e000146. (in Engl)
13. Lee J.W. [et al.]. Effects of prolonged continuous computer gaming on physical and ocular symptoms and binocular vision functions in young healthy individuals. Peer J. 2019; 4(7): e7050. (in Engl)
Review
For citations:
Akhmadeev R.R., Shammasova E.R., Mukhamadeeva O.R., Orenburkina O.I., Mukhamadeeva R.T. CONJUNCTIVITIS IN UNDERAGES OF THE REPUBLIC OF BASHKORTOSTAN (EPIDEMIOLOGICAL INDICATORS FOR 2016-2022 AND CURRENT ETIOPATHOGENETIC FACTORS OF THEIR FORMATION). Bashkortostan Medical Journal. 2024;19(2):13-17. (In Russ.)