Quality of Life of Children Engaged in Regular Physical Activities
-
Djordje Arsenovic
,
Bojan Djokic
,
Zoran Kovacevic
,
Dejan Stevanovic
,
Katarina Janicijevic
,
Mirjana Janicijevic Petrovic
,
Svetlana R Radevic
,
Snezana Radovanovic
Abstract
Background: We aimed to examine the quality of life of children who engage in regular physical activities.
Methods: We conducted a cross-sectional study with intersectional 301 children (182 boys and 119 girls) involved in regular sporting activities and the control group of 100 children (67 boys and 33 girls), not involved in extracurricular sports. Children in both groups were from 8 to 13 years, attending elementary school, and without any associated illnesses. The quality of life (QOL) was assessed using the Quality of Life questionnaire Kidscreen-27 version for parents. For comparison of groups, we used χ2 test, and for comparison of mean values among groups we used ANOVA test.
Results: More boys were engaged in sport than girls and the choice of sport is gender-dependent (P<0.01). Boys preferred collective sports, while girls were more oriented towards individual sports (P<0.01). A significant statistical difference in the mean values of the socializing dimension was given to children who trained football (P=0.04) and basketball (P=0.02). In children engaged in volleyball, a statistical difference in the mean values was observed in all dimensions of the questionnaire. In children who trained water polo, a statistically significant difference in the mean values for dimensions of health (P<0.01), mood (P<0.01) and friendship (P=0.01) was seen.
Conclusion: KIDSCREEN scores were significantly higher in the examined group than in the control group, with a statistically significant difference between scores for different sports. Children involved in regular extra-curricular physical activities had better QOL.
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17. Berman AH, Liu B, Ullman S, et al (2016). Children’s quality of life based on the kIDSCReeN-27: Child self-report, par-ent ratings and child-parent agreement in a Swedish random popula-tion sample. PLoS One, 11: e0150545
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19. Stevanovic D, Tadic I, Novakovic T, et al (2013). Evaluating the Serbian version of the KIDSCREEN quality-of-life ques-tionnaires: reliability, validity, and agree-ment between children's and parents' rat-ings. Qual Life Res, 22(7): 1729-1737.
20. Stevanovic D, Lakic A, Vilotic J (2009). The psychometric study of the Serbian KINDL questionnaire for health-related quality of life assessment in children and adolescents. Scand J Caring Sci, 23(2): 361–368.
21. Magiera A, Sochacka-Tatara E, Sowa A, et al (2018). Body weight and quality of life among adolescents in Krakow. Dev Period Med, 22(2): 160-170.
22. Case A, Fertig A, Paxson C (2005). The last-ing impact of childhood health. J Health Econ, 24(2): 365–389.
23. Hidalgo-Rasmussen CA, Ramírez-López G, Rajmil L, et al (2018). Bullying and health-related quality of life in children and ado-lescent Mexican students. Cien Saude Colet, 23(7): 2433-2441.
24. Deutscher Olympischer Sport-bund, 2009. Available at: https://cdn.dosb.de/user_upload/www.dosb.de/uber_uns/Bestandserhebung/Bestandserhebung_2009.pdf
25. Meyer U, Romann M, Zahner L, et al (2011). Effect of a general school-based physical activity intervention on bone mineral content and density: a cluster-randomized controlled trial. Bone, 48(4): 792–797.
26. Cunha F, Heckman J, Lochner L, Masterov D (2006). Interpreting the Evidence on Life Cy-cle Skill Formation. Elsevier: Handbook of the Economics of Education.
27. Kriemler S, Zahner L, Schindler C, et al (2010). Effect of school based physical activity programme (KISS) on fitness and adiposity in primary schoolchildren: clus-ter randomised controlled trial. BMJ, 340: c785.
28. Deirdre M. Harrington, Amanda E. Staiano, Stephanie T. Broyles, et al (2013). Feb BMI percentiles for the identification of abdominal obesity and metabolic risk in children and adolescents: Evidence in support of the CDC 95th percentile. Eur J Clin Nutr, 67(2): 218-222.
29. Dills A, Morgan H, Rotthoff K (2011). Re-cess, Physical Education and Elementary School Student Outcomes. Economics of Education Review, 30(5): 889–900.
30. Zahner L, Puder JJ, Roth R, et al (2006). A school-based physical activity program to improve health and fitness in children aged 6–13 years (“Kinder-Sportstudie KISS”): study design of a randomized controlled trial. BMC Public Health, 6:147.
31. Persico N, Postlewaite A, Silverman D (2004). The Effect of Adolescent Experi-ence on Labour Market Outcomes: The Case of Height. Journal of Political Economy, 112 (5): 1019–1053.
32. Rattay P, von der Lippe E, Mauz E, et al (2018). Health and health risk behaviour of adolescents-Differences according to family structure. Results of the German KiGGS cohort study. PLoS One, 13(3): e0192968.
33. Heckman J (2007). The technology and neu-roscience of capacity formation. Proc Natl Acad Sci U S A, 104(33): 13250–5.
34. Chaddock L, Hillman CH, Pontifex MB, et al (2012). Childhood aerobic fitness pre-dicts cognitive performance one year lat-er. J Sports Sci, 30(5): 421–430.
35. Larson R (2000). Toward a psychology of positive youth development. Am Psychol, 55(1): 170–183.
36. Hansen D, Larson R, Dworkin J (2003). What Adolescents Learn in Organized Youth Activities: A Survey of Self-Reported Developmental Experiences? Journal of Research on Adolescence, 13(1): 25–55.
37. Chaddock L, Pontifex MB, Hillman CH, Kramer AF (2011). A review of the rela-tion of aerobic fitness and physical activi-ty to brain structure and function in chil-dren. J Int Neuropsychol Soc, 17(6): 975–985.
38. Bloemers F, Collard D, Paw MC, et al (2012). Physical inactivity is a risk factor for physical activity related injuries in children. Br J Sports Med, 46(9): 669–674.
39. Steinmayr A, Felfe C, Lechner M (2011). The closer the sportier? Children's sport activity and their distance to sport facili-ties. European Review of Ageing and Physical Activity, 8(2): 67–82.
40. Black S, Devereux P, Salvanes K (2005). Why the Apple doesn’t fall far: Under-standing Intergenerational Transmission of Human Capital. American Economic Re-view, 95(1): 437–449.
2. Ul-Haq Z, Mackay DF, Fenwick E, Pell JP (2013). Meta-analysis of the association between body mass index and health-related quality of life among children and adolescents, assessed using the pediatric quality of life inventory index. J Pediatr, 162(2): 280-286.e1.
3. Marinković, M, Bratić, M, Ignjatović A, Ra-dovanović D (2012). Effects of 8-week instability resistance training on maximal strength in experienced young individu-als. Serb J Sports Sci, 6(1): 17-21.
4. WHO (2010). Population-based prevention strate-gies for childhood obesity. Geneva, World Health Organization, WHO Press.
5. WHO (2005). Atlas on child and adolescent mental health resources: Global concerns, implications for the future. Geneva: World Health Organi-zation, WHO Press.
6. Adelantado-Renau M, Jiménez-Pavón D, Beltran-Valls MR, et al (2018). Fitness and academic performance in adolescents. The mediating role of leptin: DADOS study. Eur J Pediatr, 177(10): 1555-1563.
7. Ortega FB, Artero EG, Ruiz JR, et al (2008). Reliability of health related physical fitness tests in European adolescents. The HELENA Study. Int J Obes (Lond), 32 Suppl 5:S49-57.
8. Hoedjes M, Makkes S, Halberstadt J, et al (2018). Health-Related Quality of Life in Children and Adolescents with Severe Obesity after Intensive Lifestyle Treat-ment and at 1-Year Follow-Up. S. Obes Facts, 11: 116–128.
9. Andersen JR, Natvig GK, Aadland E, et al (2017). Associations between health-related quality of life, cardio respiratory fitness, muscle strength, physical activity and waist circumference in 10-year-old children: the ASK study. Qual Life Res, 26(12): 3421-3428.
10. Boddy LM, Murphy MH, Breslin G, et al (2014). Physical activity, cardio respiratory fitness, and clustered cardio metabolic risk in 10 to 12 years old school children: The REACH Y6 study. American Journal of Human Biology, 26(4):446-451.
11. Breslin G, Gossrau-Breen D, McCay N, et al (2012). Physical activity, gender, weight status, and wellbeing in 9- to 11-year-old children: a cross sectional survey. J Phys Act Health, 9(3): 394-401.
12. Lankhorst K, van der Ende-Kastelijn K, de Groot J, et al (2015). Health in Adapted Youth Sports Study (HAYS): health ef-fects of sports participation in children and adolescents with a chronic disease or physical disability. Springerplus, 4: 796.
13. Ravens-Sieberer U, Gosch A, Erhart M, et al (2006). The KIDSCRE EN questionnaires: Quality of life questionnaires for children and ado-lescents. Lengerich: Pabst Science Publish-ers.
14. Kvalø SE, Natlandsmyr IK (2021). The ef-fect of physical-activity intervention on children's health-related quality of life. Scand J Public Health, 49(5):539-545.
15. Andersen JR, Natvig GK, Haraldstad K, et al (2016). Psychometric properties of the Norwegian version of the kidscreen-27 questionnaire. Health Qual Life Outcomes, 14: 58.
16. Ng JY, Burnett A, Ha AS, Sum KW (2015). Psychometric properties of the Chinese (Cantonese) versions of the KID-SCREEN health-related quality of life questionnaire. Qual Life Res, 24(10):2415-21.
17. Berman AH, Liu B, Ullman S, et al (2016). Children’s quality of life based on the kIDSCReeN-27: Child self-report, par-ent ratings and child-parent agreement in a Swedish random popula-tion sample. PLoS One, 11: e0150545
18. Harrington DM, Staiano AE, Broyles ST, et al (2013). BMI percentiles for the identifi-cation of abdominal obesity and meta-bolic risk in children and adolescents: ev-idence in support of the CDC 95th per-centile. Eur J Clin Nutr, 67(2): 218-222.
19. Stevanovic D, Tadic I, Novakovic T, et al (2013). Evaluating the Serbian version of the KIDSCREEN quality-of-life ques-tionnaires: reliability, validity, and agree-ment between children's and parents' rat-ings. Qual Life Res, 22(7): 1729-1737.
20. Stevanovic D, Lakic A, Vilotic J (2009). The psychometric study of the Serbian KINDL questionnaire for health-related quality of life assessment in children and adolescents. Scand J Caring Sci, 23(2): 361–368.
21. Magiera A, Sochacka-Tatara E, Sowa A, et al (2018). Body weight and quality of life among adolescents in Krakow. Dev Period Med, 22(2): 160-170.
22. Case A, Fertig A, Paxson C (2005). The last-ing impact of childhood health. J Health Econ, 24(2): 365–389.
23. Hidalgo-Rasmussen CA, Ramírez-López G, Rajmil L, et al (2018). Bullying and health-related quality of life in children and ado-lescent Mexican students. Cien Saude Colet, 23(7): 2433-2441.
24. Deutscher Olympischer Sport-bund, 2009. Available at: https://cdn.dosb.de/user_upload/www.dosb.de/uber_uns/Bestandserhebung/Bestandserhebung_2009.pdf
25. Meyer U, Romann M, Zahner L, et al (2011). Effect of a general school-based physical activity intervention on bone mineral content and density: a cluster-randomized controlled trial. Bone, 48(4): 792–797.
26. Cunha F, Heckman J, Lochner L, Masterov D (2006). Interpreting the Evidence on Life Cy-cle Skill Formation. Elsevier: Handbook of the Economics of Education.
27. Kriemler S, Zahner L, Schindler C, et al (2010). Effect of school based physical activity programme (KISS) on fitness and adiposity in primary schoolchildren: clus-ter randomised controlled trial. BMJ, 340: c785.
28. Deirdre M. Harrington, Amanda E. Staiano, Stephanie T. Broyles, et al (2013). Feb BMI percentiles for the identification of abdominal obesity and metabolic risk in children and adolescents: Evidence in support of the CDC 95th percentile. Eur J Clin Nutr, 67(2): 218-222.
29. Dills A, Morgan H, Rotthoff K (2011). Re-cess, Physical Education and Elementary School Student Outcomes. Economics of Education Review, 30(5): 889–900.
30. Zahner L, Puder JJ, Roth R, et al (2006). A school-based physical activity program to improve health and fitness in children aged 6–13 years (“Kinder-Sportstudie KISS”): study design of a randomized controlled trial. BMC Public Health, 6:147.
31. Persico N, Postlewaite A, Silverman D (2004). The Effect of Adolescent Experi-ence on Labour Market Outcomes: The Case of Height. Journal of Political Economy, 112 (5): 1019–1053.
32. Rattay P, von der Lippe E, Mauz E, et al (2018). Health and health risk behaviour of adolescents-Differences according to family structure. Results of the German KiGGS cohort study. PLoS One, 13(3): e0192968.
33. Heckman J (2007). The technology and neu-roscience of capacity formation. Proc Natl Acad Sci U S A, 104(33): 13250–5.
34. Chaddock L, Hillman CH, Pontifex MB, et al (2012). Childhood aerobic fitness pre-dicts cognitive performance one year lat-er. J Sports Sci, 30(5): 421–430.
35. Larson R (2000). Toward a psychology of positive youth development. Am Psychol, 55(1): 170–183.
36. Hansen D, Larson R, Dworkin J (2003). What Adolescents Learn in Organized Youth Activities: A Survey of Self-Reported Developmental Experiences? Journal of Research on Adolescence, 13(1): 25–55.
37. Chaddock L, Pontifex MB, Hillman CH, Kramer AF (2011). A review of the rela-tion of aerobic fitness and physical activi-ty to brain structure and function in chil-dren. J Int Neuropsychol Soc, 17(6): 975–985.
38. Bloemers F, Collard D, Paw MC, et al (2012). Physical inactivity is a risk factor for physical activity related injuries in children. Br J Sports Med, 46(9): 669–674.
39. Steinmayr A, Felfe C, Lechner M (2011). The closer the sportier? Children's sport activity and their distance to sport facili-ties. European Review of Ageing and Physical Activity, 8(2): 67–82.
40. Black S, Devereux P, Salvanes K (2005). Why the Apple doesn’t fall far: Under-standing Intergenerational Transmission of Human Capital. American Economic Re-view, 95(1): 437–449.
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| Issue | Vol 51 No 7 (2022) | |
| Section | Original Article(s) | |
| DOI | https://doi.org/10.18502/ijph.v51i7.10097 | |
| Keywords | ||
| Quality of life Children Extracurricular physical activity Questionnaire | ||
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How to Cite
1.
Arsenovic D, Djokic B, Kovacevic Z, Stevanovic D, Janicijevic K, Janicijevic Petrovic M, Radevic S, Radovanovic S. Quality of Life of Children Engaged in Regular Physical Activities. Iran J Public Health. 2022;51(7):1629-1636.
