Original Research ● Open access
doi DOI not yet available

Association between SDQ-TR-assessed hyperactivity symptoms and step count during school activities in school-aged children

Authors

  • Najwa Citamajida , 
  • Adnan Faris Naufal

Background: Hyperactivity is a core symptom of attention-deficit/hyperactivity disorder (ADHD) and may manifest as increased motor activity. Objectively measured step count may provide information about ambulatory movement associated with hyperactivity symptoms, while developmental differences may also influence movement patterns in children.

Objective: To examine the association between hyperactivity symptom severity and step count during school activities and to compare step count and hyperactivity scores between children aged 5 and 12 years.

Methods: This cross-sectional study included 40 children (20 males and 20 females) aged 5 and 12 years from two schools in Surakarta, Indonesia, recruited using total sampling. Hyperactivity symptoms were assessed using the hyperactivity/inattention subscale of the Strengths and Difficulties Questionnaire Teacher Report (SDQ-TR), while step count was objectively measured using a Maxfit pedometer during one school day. Spearman's rank correlation, independent-samples t-tests, and Mann–Whitney U tests were used for statistical analysis.

Results: Hyperactivity scores were strongly and positively correlated with step count (rₛ = 0.918, p < 0.001). Step count differed significantly between the age groups (p = 0.041), with higher values observed among 5-year-old children than among 12-year-old children. In contrast, hyperactivity scores did not differ significantly between the two age groups (p = 0.701).

Conclusion: Higher hyperactivity symptom severity was associated with greater step count during school activities. Step count differed between the two age groups, whereas hyperactivity scores did not. These findings suggest that objectively measured ambulatory movement and hyperactivity symptoms may capture related but developmentally distinct aspects of children's behaviour.

Keywords:

LICENSE

HOW TO CITE

Citamajida, N. , & Naufal, A. F. (2026). Association between SDQ-TR-assessed hyperactivity symptoms and step count during school activities in school-aged children. Physical Education and Sports: Studies and Research, 264-275. https://journal.rezkimedia.or.id/pes/article/view/778

DOWNLOADS

Download data is not yet available.
METRICS
Abstract Views: 0 PDF Downloads: 0 Pages: 264-275

References

Brandt, V., Patalay, P., & Kerner Auch Koerner, J. (2021). Predicting ADHD symptoms and diagnosis at age 14 from objective activity levels at age 7 in a large UK cohort. European Child & Adolescent Psychiatry, 30(6), 877–884. https://doi.org/10.1007/s00787-020-01566-9

Diamanti, G., Colin, J., Hasler, R., Ros, T., Perroud, N., & Deiber, M. (2025). Clinical Neurophysiology Practice The neurobehavioral correlates of error processing in adult attention-deficit / hyperactivity disorder and their relationship with impulsivity. Clinical Neurophysiology Practice, 10(November), 550–557. https://doi.org/10.1016/j.cnp.2025.11.005

Earnest, T., Shephard, E., Tye, C., McEwen, F., Woodhouse, E., Liang, H., Sheerin, F., & Bolton, P. F. (2020). Actigraph-measured movement correlates of attention-deficit/hyperactivity disorder (ADHD) symptoms in young people with tuberous sclerosis complex (TSC) with and without intellectual disability and autism spectrum disorder (ASD). Brain Sciences, 10(8), 491. https://doi.org/10.3390/brainsci10080491

Eng, A. G., Phan, J. M., Shirtcliff, E. A., Eisenlohr-Moul, T. A., Goh, P. K., & Martel, M. M. (2023). Aging and pubertal development differentially predict symptoms of ADHD, depression, and impairment in children and adolescents: An eight-year longitudinal study. Research on Child and Adolescent Psychopathology, 51(6), 819-832. https://doi.org/10.1007/s10802-023-01030-7

Fang, C., Zhang, J., Zhou, T., Li, L., Lu, Y., Gao, Z., & Quan, M. (2020). Associations between daily step counts and physical fitness in preschool children. Journal of Clinical Medicine, 9(1), 163. https://doi.org/10.3390/jcm9010163

Gawrilow, C., Kühnhausen, J., Schmid, J., & Stadler, G. (2014). Hyperactivity and motoric activity in ADHD: characterization, assessment, and intervention. Frontiers in psychiatry, 5, 171. https://doi.org/10.3389/fpsyt.2014.00171

Guimarães, R. de F., Josaphat, K.-J., Reid, R., Henderson, M., Barnett, T. A., & Mathieu, M.-E. (2021). Reduction in ambulatory distance from childhood through adolescence: The impact of the number and length of steps. Journal of Exercise Science and Fitness, 19(1), 66–70. https://doi.org/10.1016/j.jesf.2020.08.001

Hardman, C. A., Horne, P. J., & Rowlands, A. V. (2009). Children’s Pedometer-determined Physical Activity During School-time and Leisure-time. Journal of Exercise Science & Fitness, 7(2), 129–134. https://doi.org/10.1016/S1728-869X(09)60016-2

Hoy, B.-A., Bi, M., Lam, M., Krishnasamy, G., Abdalmalak, A., & Fenesi, B. (2024). Hyperactivity in ADHD: Friend or Foe? Brain Sciences, 14(7), 719. https://doi.org/10.3390/brainsci14070719

Nagata, J. M., Alsamman, S., Smith, N., Yu, J., Ganson, K. T., Dooley, E. E., Wing, D., Baker, F. C., & Pettee Gabriel, K. (2023). Social epidemiology of Fitbit daily steps in early adolescence. Pediatric Research, 94(5), 1838–1844. https://doi.org/10.1038/s41390-023-02700-4

Prasad, S., & Kumminimana, R. (2025). Attention-deficit/hyperactivity disorder: insights, advances and challenges in research and practice. Postepy Psychiatrii Neurologii, 34(3), 196–206. https://doi.org/10.5114/ppn.2025.153717

Salari, N., Ghasemi, H., Abdoli, N., Rahmani, A., Shiri, M. H., Hashemian, A. H., Akbari, H., & Mohammadi, M. (2023). The global prevalence of ADHD in children and adolescents: A systematic review and meta-analysis. Italian Journal of Pediatrics, 49, Article 48. https://doi.org/10.1186/s13052-023-01456-1

Selinus, E. N., Durbeej, N., Zhan, Y., Lichtenstein, P., Lundström, S., & Ekblom, M. (2021). Inattention and hyperactivity symptoms in childhood predict physical activity in adolescence. BMC Psychiatry, 21(1), 629. https://doi.org/10.1186/s12888-021-03603-6

Siregar, J., & Wimbarti, S. (2018). Screening for the hyperkinetic disorder by using Strengths and Difficulties Questionnaire teacher-report (SDQ-TR) in Indonesia school-aged children. Global Journal of Psychology Research: New Trends and Issues, 8(2), 76–87. https://doi.org/10.18844/gjpr.v8i2.3490

Tudor-Locke, C., Lee, S. M., Morgan, C. F., Beighle, A., & Pangrazi, R. P. (2006). Children's pedometer-determined physical activity during the segmented school day. Medicine & Science in Sports & Exercise, 38(10), 1732-1738. https://doi.org/10.1249/01.mss.0000230212.55119.98

van den Heuvel, M., Jansen, D. E. M. C., Stewart, R. E., Smits-Engelsman, B. C. M., Reijneveld, S. A., & Flapper, B. C. T. (2017). How reliable and valid is the teacher version of the Strengths and Difficulties Questionnaire in primary school children? PLOS ONE, 12(4), e0176605. https://doi.org/10.1371/journal.pone.0176605

Villalba-Heredia, L., Rodríguez, C., Santana, Z., Nuñez, J. C., & Méndez-Giménez, A. (2023). A Cross-Sectional Study to Measure Physical Activity with Accelerometry in ADHD Children according to Presentations. Children, 10(1), 50. https://doi.org/10.3390/children10010050

Weiss, H., & Luciana, M. (2022). Neurobehavioral maturation of motor response inhibition in adolescence–A narrative review. Neuroscience & Biobehavioral Reviews, 137, 104646. https://doi.org/10.1016/j.neubiorev.2022.104646

How to Cite

Association between SDQ-TR-assessed hyperactivity symptoms and step count during school activities in school-aged children. (2026). Physical Education and Sports: Studies and Research, 264-275. https://journal.rezkimedia.or.id/pes/article/view/778

Most read articles by the same author(s)