Öz

 

Objective: The aim of this study was to examine the relationship between motor performance and sensory processing skills and quality of life in preschool children with type 1 diabetes (T1DM).

Materials and Methods: The study included children with T1DM aged between 60 and 78 months. Sociodemographic information of the children was recorded. Motor performance were assessed using the “Bruininks-Oseretsky Motor Competency Test 2 (BOT 2),” sensory processing skills using the “Sensory Processing Scale (SPM) House Form,” and quality of life using the “Children’s Quality of Life Scale (CQL).

Results: A total of 20 children with T1DM were included in the study. In the relationship between BOT 2 and CQL, the following BOT 2 parameters were found to be associated with CQL; fine motor sensitivity [physical functioning (r=-0.510, p=0.020), school functioning (r=-0.580, p=0.010), and total CQL score (r=-0.550, p=0.010)], fine motor integration [emotional functioning (r=-0.450, p=0.040), psychosocial health (r=-0.570, p=0.010), and total CQL score (r=-0.520, p=0.010)], hand dexterity [school functioning (r=-0.480, p=0.020)], and bidirectional coordination [physical functioning (r=-0.450, p=0.040)]. A moderately positive correlation was found between physical functionality and the SPM parameters body awareness (r=0.049, p=0.020), planning and ideation (r=0.047, p=0.030), and total SPM score (r=0.450, p=0.040). A moderately positive correlation was found between planning and ideation and the total CQL score (r= 0.440, p= 0.040).

Conclusion: In preschool children with T1DM, impairments in motor skills and sensory processing abilities are associated with quality of life. It is recommended to assess motor performance and sensory processing skills in early childhood.

Anahtar Kelimeler: Diabetes mellitus type 1, motor skills, sensation disorders

Kaynakça

  1. Abacı A, Böber E, Büyükgebiz A. Long Term Monitoring of Type 1 Diabetes Mellitus. Güncel Pediatri. 2008;6(1):111-8.
  2. Kazi AA, Blonde L. Classification of diabetes mellitus. Clinics in laboratory medicine. 2001;21(1):1-13.
  3. Krause MP, Riddell MC, Hawke TJ. Effects of type 1 diabetes mellitus on skeletal muscle: clinical observations and physiological mechanisms. Pediatric diabetes. 2011;12(4 Pt 1):345-64. https://doi.org/10.1111/j.1399-5448.2010.00699.x
  4. Balducci S, Sacchetti M, Orlando G, Salvi L, Pugliese L, Salerno G, et al. Correlates of muscle strength in diabetes: the study on the assessment of determinants of muscle and bone strength abnormalities in diabetes (SAMBA). Nutr Metab Cardiovasc Dis 2014;24(1):18-26. https://doi.org/10.1016/j.numecd.2013.04.010
  5. Ryan C, Vega A, Drash A. Cognitive deficits in adolescents who developed diabetes early in life. Pediatrics. 1985;75(5):921-7. https://doi.org/10.1542/peds.75.5.921
  6. Beery KE, Beery NA. The Beery-Buktenica Developmental Test of Visual-Motor Integration. Beery VMI: With Supplemental Developmental Tests of Visual Perception and Motor Coordination and Stepping Stones Age Norms From Birth to Age Six. Administration, Scoring, and Teaching Manual: Pearson; 2010. https://doi.org/10.1037/t48947-000
  7. Gaudieri PA, Chen R, Greer TF, Holmes CS. Cognitive function in children with type 1 diabetes: a meta-analysis. Diabetes care. 2008;31(9):1892-7. https://doi.org/10.2337/dc07-2132
  8. Schwartz DD, Axelrad ME, Anderson BJ. Neurocognitive functioning in children and adolescents at the time of type 1 diabetes diagnosis: associations with glycemic control 1 year after diagnosis. Diabetes care. 2014;37(9):2475-82. https://doi.org/10.2337/dc14-0103
  9. Zoenen D, Delvenne V. Treatment of sensory information in neurodevelopmental disorders. Rev Med Brux. 2018;39(1):29-34. https://doi.org/10.30637/2018.17-073
  10. Goldberg A, Ebraheem Z, Freiberg C, Ferarro R, Chai S, Gottfried OD. Sweet and sensitive: sensory processing sensitivity and type 1 diabetes. J Pediatr Nurs. 2018;38:e35-e8. https://doi.org/10.1016/j.pedn.2017.10.015
  11. Urzeală C, Bota A, Teodorescu S, Vlăiculescu M, Baker JS, Europe KG, editors. Quality of life in romanian children with type 1 diabetes: A cross-sectional survey using an interdisciplinary healthcare intervention. Healthcare; 2020:8(4):382. https://doi.org/10.3390/healthcare8040382
  12. Hart HE, Redekop WK, Bilo HJ, Meyboom-de Jong B, Berg M. Health related quality of life in patients with type I diabetes mellitus: generic & disease-specific measurement. Indian J Med Res. 2007;125(3):203-16.
  13. Ausili E, Tabacco F, Focarelli B, Padua L, Crea F, Caliandro P, et al. Multidimensional study on quality of life in children with type 1 diabetes. Eur Rev Med Pharmacol Sci. 2007;11(4):249-55.
  14. Bruininks RH, Bruininks BD. Bruininks-Oseretsky test of motor proficiency. 1978.
  15. Ballı ÖM, Gürsoy F. The Study of Validity and Reliability of BruininksOseretsky Motor Proficiency Test for Five-Six– Years–Old Turkish Children. Hacettepe J. of Sport Sciences 2012;23(3):104-18.
  16. Miller Kuhaneck H, Ecker C, Parham LD, Henry DA, Glennon TJ. Sensory Processing Measure-Preschool (SPM-P): Manual. Los Angeles: Western Psychological Services; 2010.
  17. Özbakır M. Duyusal İşlemleme Ölçeği - Ev Formu’nun Türkiye Koşullarına Uyarlanması (Yayınlanmamış yüksek lisans tezi). Marmara Üniversitesi Eğitim Bilimleri Enstitüsü İstanbul 2010.
  18. Varni JW, Seid M, Kurtin PS. PedsQL™ 4.0: Reliability and validity of the Pediatric Quality of Life Inventory™ Version 4.0 Generic Core Scales in healthy and patient populations. Medical care. 2001;39(8):800-12. https://doi.org/10.1097/00005650-200108000-00006
  19. Üneri Ö. Çocuklar için Yaşam Kalitesi Ölçeğinin 2-7 yaşlarındaki Türk çocuklarında geçerlik ve güvenirliği. Yayınlanmamış uzmanlık tezi Kocaeli, Üniv Tıp Fak Çocuk Psikiyatrisi AD, Kocaeli. 2005.
  20. Barton B, Peat J.Medical statistics: A guide to SPSS, data analysis and critical appraisal. John Wiley & Sons, 2014:198-202.
  21. Field A. Discovering statistics using IBM SPSS statistics. Sage publications limited, 2024:22-40.
  22. Cohen J. Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Routledge. 1988. https://doi.org/10.4324/9780203771587
  23. Benitez SU, Carneiro EM, de Oliveira ALR. Synaptic input changes to spinal cord motoneurons correlate with motor control impairments in a type 1 diabetes mellitus model. Brain Behav. 2015;5(10):e00372. https://doi.org/10.1002/brb3.372
  24. Kıral NS, Temur CS. The effect of physical activity and sports on quality of life in individuals with special needs: a systematic review. TJHR 2023;4(3):70-84.
  25. Kabak VY, Ipek F, Ünal Ş, Uysal SA, Düger T. Investigation of the association between motor functions with quality of life and daily living activities in children with acute lymphoblastic leukemia. CBU-SBED 2021;8(3):426-30. https://doi.org/10.34087/cbusbed.839071
  26. Compas BE, Jaser SS, Dunn MJ, Rodriguez EM. Coping with chronic illness in childhood and adolescence. Annu Rev Clin Psychol 2012;8(1):455-80. https://doi.org/10.1146/annurev-clinpsy-032511-143108
  27. Kern W, Schlosser C, Kerner W, Pietrowsky R, Born J, Fehm HL. Evidence for effects of insulin on sensory processing in humans. Diabetes. 1994;43(3):351-6. https://doi.org/10.2337/diab.43.3.351
  28. Humphry R. Young children’s occupations: Explicating the dynamics of developmental processes. Am J Occup Ther. 2002;56(2):171-9. https://doi.org/10.5014/ajot.56.2.171
  29. Dunn W. The impact of sensory processing abilities on the daily lives of young children and their families: A conceptual model. Infants & Young Children. 1997;9(4):23-35. https://doi.org/10.1097/00001163-199704000-00005
  30. Bar-Shalita T, Deutsch L, Honigman L, Weissman-Fogel I. Ecological aspects of pain in sensory modulation disorder. Res Dev Disabil. 2015;45:157-67. https://doi.org/10.1016/j.ridd.2015.07.028
  31. Pfeiffer B, Kinnealey M, Reed C, Herzberg G. Sensory modulation and affective disorders in children and adolescents with Asperger’s disorder. Am J Occup Ther 2005;59(3):335-45. https://doi.org/10.5014/ajot.59.3.335
  32. Gard G. Body awareness therapy for patients with fibromyalgia and chronic pain. Disability and rehabilitation. 2005;27(12):725-8. https://doi.org/10.1080/09638280400009071
  33. Pirinççi CŞ, Cihan E, Ünüvar BS, Gerçek H. The Relationship Between Body Awareness and Physical Activity, Depression, and Quality of Life in Young Adults. CBÜ BESBD 2022;17(2):207-15. https://doi.org/10.33459/cbubesbd.1118305
  34. Medenica V, Ivanovic L. Motor Planning and Execution in Autism Spectrum Disorder= A Systematic Review. Human Research in Rehabilitation. 2025;15(2):299-310. https://doi.org/10.21554/hrr.092505

Nasıl atıf yapılır

1.
Akbulut Bayrak A, GÜRBÜZ F, BOYRAZ M, ELBASAN B. Investigation of the relationship between motor performance and sensory processing skills and quality of life in preschool children with type 1 diabetes. Turk J Pediatr Dis. 2026;Early View:1-5. https://doi.org/10.12956/TJPD.2025.1299