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Volova T.L.

Northern State Medical University

Shelygin K.V.

Northern State Medical University

Menshikova L.I.

Central Research Institute for Organization and Informatization of Health Care of the Ministry of Health of Russia

Son I.M.

Federal Research Institute for Health Organization and Informatics of Ministry of Health of the Russian Federation

Childhood disability due to mental disorders in the Arkhangelsk region: structural and dynamic trends

Authors:

Volova T.L., Shelygin K.V., Menshikova L.I., Son I.M.

More about the authors

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To cite this article:

Volova TL, Shelygin KV, Menshikova LI, Son IM. Childhood disability due to mental disorders in the Arkhangelsk region: structural and dynamic trends. S.S. Korsakov Journal of Neurology and Psychiatry. 2022;122(9‑2):90‑95. (In Russ.)
https://doi.org/10.17116/jnevro202212209290

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References:

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  2. Russian Fertility and Mortality Database. Center for Demographic Research. Moscow (Russia). (In Russ.). https://demogr.nes.ru/index.php/ru/demogr_indicat/data
  3. Popukailo VS. Detection of anomalous measurements in the processing of small data. Tekhnologiya i konstruirovanie v elektronnoi apparature. 2016;4-5:42-46. (In Russ.). https://doi.org/10.15222/TKEA2016.4-5.42
  4. Velleman P. Definition and comparison of robust nonlinear data smoothing algorithms. J. Am. Statistical Assoc. 1980;75:609-615. 
  5. Kim DY, Park HK, Kim NS, et al. Neonatal diffusion tensor brain imaging predicts later motor outcome in preterm neonates with white matter abnormalities. Ital J Pediatr. 2016;42(1):104.  https://doi.org/10.1186/s13052-016-0309-9
  6. Askie LM, Darlow BA, Davis PG, et al. Effects of targeting lower versus higher arterial oxygen saturations on death or disability in preterm infants. The Cochrane Database Syst Rev. 2017;11(4):CD011190. https://doi.org/10.1002/14651858
  7. Mahoney K, Bajuk B, Oei J, et al. Risk of neurodevelopmental impairment for outborn extremelypreterm infants in an Australian regional network. J Matern Fetal Neonatal Med. 2017;30(1):96-102.  https://doi.org/10.3109/14767058.2016.1163675
  8. Joseph RM, Korzeniewski SJ, Allred EN, et al. Extremely low gestational age and very low birthweight for gestational age are risk factors for autism spectrum disorder in a large cohort study of 10-year-old children born at 23–27 weeks’ gestation. Am J Obstet Gynecol. 2017;216(3):1-16.  https://doi.org/10.1016/j.ajog.2016.11.1009
  9. Kuzenkova LM, Namazova-Baranova LS, Podkletnova TV, et al. Fabry disease: features of the disease in children and adolescents. Voprosy sovremennoi pediatrii. 2015;3:341-348. (In Russ.). https://doi.org/10.15690/vsp.v14i3.1369
  10. Truschelev SA, Kekelidze ZI, Demcheva NK. Disability due to mental disorders in the Russian Federation. Rossiiskii psikhiatricheskii zhurnal. 2019;3:4-10. (In Russ.). https://doi.org/10.24411/1560-957X-2019-11922
  11. Baranov AA, Namazova-Baranova LS, Terletskaya RN, Antonova EV. Problems of children’s disability in modern Russia. Vestnik RAMN. 2017;4:305-312. (In Russ.). https://doi.org/10.15690/vramn823
  12. Demcheva NK, Makushkin EV. Problems of disability in children with mental disorders.Mental health of the country’s children — the future health of the nation: a collection of materials of the All-Russian Conference on Child Psychiatry and Narcology. Yaroslavl. 2016;128-129. (In Russ.).
  13. Formánek T, Kagström A, Cermakova P, et al. Prevalence of mental disorders and associated disability: Results from thecross–sectional CZEch mental health Study (CZEMS). European Psychiatry. 2019;60:1-6.  https://doi.org/10.1111/j.1600-0047.2004.00329.x
  14. Portnova AA, Truschelev SA, Serebrovskaya OV, et al. Disability of children with mental disorders in Moscow. Rossiiskii psikhiatricheskii zhurnal. 2018;2:4-9. (In Russ.).
  15. Son IM, Polikarpov AV, Golubev NA, et al. Analysis of changes in reporting forms of federal statistical observation in terms of child disability. Menedzher zdravoohranenija. 2017;1:43-50. (In Russ.).

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