A multivariate method of evaluating the effectiveness of optimizing the daily routine of schoolchildren

  • Zh. V. Sotnikova-Meleshkina
  • O. V. Martynenko
Keywords: schoolchildren, efficiency of preventive measures, daily routine, screening-questionnaire; SEM.


Annotation. The mode of a modern schoolboy-teenager is characterized by insufficient duration of night sleep, prolongation of homework, non-observance of diet, reduction of daily physical activity, excessive screen time, which under constant exposure can provoke a number of non-infectious and psychosomatic disorders. The purpose of the study is to evaluate the effectiveness of optimizing the daily routine of schoolchildren using the method of modeling structural equations. The study involved 175 students aged 10–14 years. Health status was assessed according to preventive medical examinations and screening-questionnaires with the calculation of the level of ill health and the coefficient of determination. Statistical data processing was performed using the licensed package SPSS Statistic v. 20 using one-way analysis of variance, correlation analysis, Chi-square test according to the Friedman method, Student’s t-test, as well as the method of modeling by structural equations (SEM) in the statistical package SEPATH Statistica. Using a normalized coefficient of determination, it was determined that for students in the experimental group were the most common signs of cardiorheumatological and allergic pathological conditions. Based on the pre-determined significance of the elements of the daily routine, the primary measures of primary prevention of pathological conditions were selected and implemented. The application of the multivariate SEM method using block data structures grouped by 11 variables (according to disease classes) and 15 blocks-elements of the daily routine allowed to evaluate the effectiveness of the prevention program. Pathology of the nervous (χ2=19.54; p<0.0001), respiratory (χ2=13.47; p=0.001) and cardiovascular systems (χ2=9.88; р=0.007) was determined to be the most “sensitive” to the impact of preventive measures. Thus, the proposed model allows to systematize the blocks that characterize both the prevention program and its effectiveness at different stages of implementation, which was determined by the level of morbidity of schoolchildren. The use of targeted preventive measures reduced the incidence rate by 10% in the experimental group against the background of an increase in pathological lesions in the control group by 22.9%.


1. Vodolazhskyi, M. L., Borysko, H. O., Danylenko, H. M., & Ponomarova, L. I. (2008). Pat. UA 35451 Ukraina: MPK (2006) A61V 5/00, № u200802011. Sposib otsinky stanu zdorovia ditei shkilnoho viku za skryninh-testamy [Patent UA 35451 Ukraine: IPC (2006) A61B 5/00, № u200802011. How to assess the health of school-age children by screening tests]. Kyiv: Derzhavne patentne vidomstvo Ukrainy – Kyiv: State Patent Office of Ukraine. Vziato z https://uapatents.com/6-35451-sposib-ocinki-stanu-zdorovya-ditejj-shkilnogo-viku-za-skrining-testami.html

2. Koziarin, I. P, Ivakhno, O. P., & Niemtseva, Yu. V. (2014). Faktory ryzyku u formuvanni zdorovia suchasnoho pokolinnia ditei [Risk factors in shaping the health of today's generation of children]. Zbirnyk naukovykh prats spivrobitnykiv NMAPO im. P. L. Shupyka – Collection of scientific works of NMAPE employees P. L. Shupika, 23 (4), 170–175. http://nbuv.gov.ua/UJRN/Znpsnmapo_2014_23%284%29__27

3. Polka, N. S., Yatskovska, N. Ya., Platonova, A. H., Dzhurynska, S. M., Shkuro, V. V., Shkarban, K. S., … & Khutchenko, O. M. (2013). Osoblyvosti rezhymu dnia uchniv starshoho shkilnoho viku [Features of the daily routine of high school students]. Dovkillia ta zdorovia – Environment and Health, 2, 30–35. Vziato z https://cyberleninka.ru/article/n/osoblivosti-rezhimu-dnya-uchniv-starshogo-shkilnogo-viku

4. Ariza, C., Sánchez-Martínez, F., Serral, G., Valmayor, S., Juárez, O., Pasarín, M. I., … & López, M. J. (2019). The incidence of obesity, assessed as adiposity, is reduced after 1 year in primary schoolchildren by the POIBA intervention. J. Nutr., 149 (2), 258–269. doi: 10.1093/jn/nxy259

5. Bowen, N. K., & Guo, S. (2011). Structural equation modeling. London: Oxford University Press. DOI:10.1093/acprof:oso/9780195367621.001.0001

6. Chi-Shing, Yeung, D., Yuan, X., Sai-Chuen, Hui S., & Feresu, S. A. (2016). Determinants of moderate to vigorous physical activity and obesity in children: a structural equation modeling analysis. World J. Pediatr., 12 (2), 170–6. doi: 10.1007/s12519-015-0057-8. https://pubmed.ncbi.nlm.nih.gov/26582296/

7. Constant, A., Boulic, G., Lommez, A., Chaillou, R., Guy-Grand, B., & Raffin, S. (2020). Locally implemented prevention programs may reverse weight trajectories in half of children with overweight/obesity amid low child-staff ratios: results from a quasi-experimental study in France. BMC Public Health, 20 (1), 941. doi: 10.1186/s12889-020-09080-y. https://pubmed.ncbi.nlm.nih.gov/32539822/

8. Deng, L., Yang, M., & Marcoulides, K. M. (2018). Structural Equation Modeling With Many Variables: A Systematic Review of Issues and Developments. Front Psychol., 9, 580. doi: 10.3389/fpsyg.2018.00580

9. Faridizad, R., Ahadi, Z., Heshmat, R., Motlagh, M. E., Sheidaei, A., Ziaodini, H., … & Kelishadi, R. (2020). Association of screen time with subjective health complaints in Iranian school-aged children and adolescents: the CASPIAN-V study. Journal of Public Health-Heidelberg, 28 (1), 31–40. DOI: 10.1007/s10389-019-01014-2

10. Guo, P., Zhu, H., Pan, H., Feng, R., Chen, Y., Wang, Y., … & Zhao, Y. (2019). Dose-response relationships between dairy intake and chronic metabolic diseases in a Chinese population. J. Diabetes, 11 (11), 846–856. doi: 10.1111/1753-0407.12921

11. Guerrero, M. D., Barnes, J. D., Chaput, J. P., & Tremblay, M. S. (2019). Screen time and problem behaviors in children: exploring the mediating role of sleep duration. International Journal Of Behavioral Nutrition And Physical Activity, 16 (1), 105. DOI: 10.1186/s12966-019-0862-x

12. Hayes, C. B., O’Shea, M. P., Foley-Nolan, C., McCarthy, M., Harrington, J. M. (2019). Barriers and facilitators to adoption, implementation and sustainment of obesity prevention interventions in schoolchildren– a DEDIPAC case study. BMC Public Health, 19 (1), 198. doi: 10.1186/s12889-018-6368-7

13. Hubbard, K., Economos, C. D., Bakun, P., Boulos, R., Chui, K., Mueller, M. P., … & Sacheck, J. (2016). Disparities in moderate-to-vigorous physical activity among girls and overweight and obese schoolchildren during school- and out-of-school time. Int. J. Behav. Nutr. Phys. Act., 13, 39. doi: 10.1186/s12966-016-0358-x

14. Saghafi-Asl, M., Aliasgharzadeh, S., & Asghari-Jafarabadi, M. (2020). Factors influencing weight management behavior among college students: An application of the Health Belief Model. PLoS One, 15 (2), e0228058. doi: 10.1371/journal.pone.0228058

15. Sanders, T., Parker, P. D., Del Pozo-Cruz, B., Noetel, M., & Lonsdale, C. (2019). Type of screen time moderates effects on outcomes in 4013 children: evidence from the Longitudinal Study of Australian Children. International Journal of Behavioral Nutrition and Physical Activity, 16 (1), 117. DOI: 10.1186/s12966-019-0881-7

16. Zammit, N., Maatoug, J., Ghammam, R., Raoudha, K., Lamia, B., Mustafa, A., … & Ghannem, H. (2016) Sustainability of the results of a non communicable diseases prevention program among youth in the region of Sousse, Tunisia. Int. J. Adolesc. Med. Health, 30 (4), /j/ijamh.2018.30.issue-4/ijamh-2016-0065/ijamh-2016-0065.xml. doi: 10.1515/ijamh-2016-0065

17. Zurita-Corvalan, N., Nanjari, R., Fernández-Cueto, N., Cid-Arnes, M. P., Huber-Pérez, T., Solis-Urra, P., & Cristi-Montero, C. (2018). Effect of “Super 8 Law” implementation on body composition of schoolchildren during the National Holidays in Chile. Longitudinal-ecological study. Nutr. Hosp., 35 (4), 881–887. doi: 10.20960/nh.1535,

18. Yeung, D. Ch.-Sh., Yuan, X., Hui, S. S.-Ch., & Feresu, Sh. A. (2016). Determinants of moderate to vigorous physical activity and obesity in children: a structural equation modeling analysis. World J. Pediatr., 12 (2), 170–6. doi: 10.1007/s12519-015-0057-8
How to Cite
Sotnikova-Meleshkina, Z. V., & Martynenko, O. V. (2020). A multivariate method of evaluating the effectiveness of optimizing the daily routine of schoolchildren. Reports of Vinnytsia National Medical University, 24(4), 659-664. https://doi.org/https://doi.org/10.31393/reports-vnmedical-2020-24(4)-17