Volume 3, Issue 1 (March 2024)
IJER 2024, 3(1): 168-179 |
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Mohamadi ghanatghestani L, Shahriari Ahmadi M, Tajali P. (2024). Effective Factors on Correct Diagnosis and Timely Interventions for Autism Spectrum Disorders in Children. IJER. 3(1), 168-179. doi:10.22034/3.1.168
URL: http://ijer.hormozgan.ac.ir/article-1-131-en.html
URL: http://ijer.hormozgan.ac.ir/article-1-131-en.html
1- PhD Student in Psychology and Education of Exceptional Children, Faculty of Humanities, Central Tehran Branch, Islamic Azad University, Tehran, Iran
2- Assistant Professor, Department of Psychology and Education of Exceptional Children, Faculty of Humanities, Central Tehran Branch, Islamic Azad University, Tehran, Iran ,Mansure-shahriari@yahoo.com
3- Assistant Professor Department of Psychology and Education of Exceptional Children, Faculty of Humanities, Central Tehran Branch, Islamic Azad University , Tehran, Iran
2- Assistant Professor, Department of Psychology and Education of Exceptional Children, Faculty of Humanities, Central Tehran Branch, Islamic Azad University, Tehran, Iran ,
3- Assistant Professor Department of Psychology and Education of Exceptional Children, Faculty of Humanities, Central Tehran Branch, Islamic Azad University , Tehran, Iran
Abstract: (533 Views)
Objective: Prevention and control of the disease in children with autism spectrum disorders in a country requires policies and decisions as well as accurate statistics and information in this field. Therefore, the present study was conducted with the aim of investigating the effective factors for correct diagnosis and timely interventions in autism spectrum disorders in children under 7 years of age.
Methods: In this cross-sectional study, information on 83 children with autism spectrum disorder under 7 years of age diagnosed in Tehran using the Gilliam 3 Autism Measurement Scale, Connors Measurement Scale, PEP3 diagnostic test, and the researcher-made diagnostic package was examined. The collected data were analyzed using descriptive statistics, including mean and frequency, and inferential statistics, including chi-square and analysis of variance.
Results: After analyzing the data using SPSS software, it was found that the three components of tool, age and severity of disorder are the most important factors contributing to correct diagnosis and timely intervention in autism spectrum disorders in children under 7 years of age.
Conclusions: Considering that the results of this study have shown that the three components of tool , age and severity of the disorder are effective for timely diagnosis, it is suggested that families use testing as soon as they see the slightest symptoms in their children at a young age. It is appropriate to diagnose this disorder early, which can lead to partial control of this disease in children.
Methods: In this cross-sectional study, information on 83 children with autism spectrum disorder under 7 years of age diagnosed in Tehran using the Gilliam 3 Autism Measurement Scale, Connors Measurement Scale, PEP3 diagnostic test, and the researcher-made diagnostic package was examined. The collected data were analyzed using descriptive statistics, including mean and frequency, and inferential statistics, including chi-square and analysis of variance.
Results: After analyzing the data using SPSS software, it was found that the three components of tool, age and severity of disorder are the most important factors contributing to correct diagnosis and timely intervention in autism spectrum disorders in children under 7 years of age.
Conclusions: Considering that the results of this study have shown that the three components of tool , age and severity of the disorder are effective for timely diagnosis, it is suggested that families use testing as soon as they see the slightest symptoms in their children at a young age. It is appropriate to diagnose this disorder early, which can lead to partial control of this disease in children.
Type of Study: Original |
Subject:
Educational Studies
Received: 2023/02/1 | Accepted: 2023/10/17 | Published: 2024/03/1
Received: 2023/02/1 | Accepted: 2023/10/17 | Published: 2024/03/1
References
1. Aggarwal, S., & Angus, B. (2015). Misdiagnosis versus missed diagnosis: diagnosing autism spectrum disorder in adolescents. Australasian Psychiatry, 23(2), 120-123. [DOI:10.1177/1039856214568214]
2. Baudrand, R., Guarda, F. J., Torrey, J., Williams, G., & Vaidya, A. (2016). Dietary sodium restriction increases the risk of misinterpreting mild cases of primary aldosteronism. The Journal of Clinical Endocrinology & Metabolism, 101(11), 3989-3996. [DOI:10.1210/jc.2016-1963]
3. Bazrafshan, A., & Sadeghi, L. (2021). A Study of Effective Demographic Factors in Autism Spectrum Disorder. Sadra Medical Journal, 9(3), 231-240. [DOI:10.30476/smsj.2022.87953.1164]
4. Behzadpour, s., Pouretemad, H. R., & Akbari Zardkhaneh, S. (1399). Conceptualization of comorbid anxiety in autism spectrum disorder: An integrative literature review [Review]. Koomesh journal, 23(1), 11-19. [DOI:10.29252/koomesh.23.1.11]
5. Blumberg, S. J., Zablotsky, B., Avila, R. M., Colpe, L. J., Pringle, B. A., & Kogan, M. D. (2016). Diagnosis lost: Differences between children who had and who currently have an autism spectrum disorder diagnosis. Autism, 20(7), 783-795. [DOI:10.1177/1362361315607724]
6. Brentani, H., Paula, C. S. d., Bordini, D., Rolim, D., Sato, F., Portolese, J., . . . McCracken, J. T. (2013). Autism spectrum disorders: an overview on diagnosis and treatment. Brazilian Journal of Psychiatry, 35, S62-S72. [DOI:10.1590/1516-4446-2013-S104]
7. Campoy-Cubillo, M. C. (2015). Assessing dictionary skills. Lexicography, 2, 119-141. [DOI:10.1007/s40607-015-0019-2]
8. Durkin, M. S., Elsabbagh, M., Barbaro, J., Gladstone, M., Happe, F., Hoekstra, R. A., . . . Stone, W. L. (2015). Autism screening and diagnosis in low resource settings: Challenges and opportunities to enhance research and services worldwide. Autism Research, 8(5), 473-476. [DOI:10.1002/aur.1575]
9. Fedor, J., Lynn, A., Foran, W., DiCicco-Bloom, J., Luna, B., & O'Hearn, K. (2018). Patterns of fixation during face recognition: Differences in autism across age. Autism, 22(7), 866-880. [DOI:10.1177/1362361317714989]
10. Fusar-Poli, L., Brondino, N., Politi, P., & Aguglia, E. (2022). Missed diagnoses and misdiagnoses of adults with autism spectrum disorder. European archives of psychiatry and clinical neuroscience, 272(2), 187-198. [DOI:10.1007/s00406-020-01189-w]
11. Goldstein, S., & Ozonoff, S. (2018). Assessment of autism spectrum disorder. Guilford Publications.
12. Gotham, K., Pickles, A., & Lord, C. (2009). Standardizing ADOS scores for a measure of severity in autism spectrum disorders. Journal of autism and developmental disorders, 39, 693-705. [DOI:10.1007/s10803-008-0674-3]
13. Howard, J. (2019). Cognitive errors and diagnostic mistakes (Vol. 10). Springer. [DOI:10.1007/978-3-319-93224-8]
14. Kalra, R., Gupta, M., & Sharma, P. (2023). Recent advancement in interventions for autism spectrum disorder: A review. Journal of Neurorestoratology, 100068. [DOI:10.1016/j.jnrt.2023.100068]
15. Li, Q., Li, Y., Liu, B., Chen, Q., Xing, X., Xu, G., & Yang, W. (2022). Prevalence of autism spectrum disorder among children and adolescents in the United States from 2019 to 2020. JAMA pediatrics, 176(9), 943-945. [DOI:10.1001/jamapediatrics.2022.1846]
16. Merten, E. C., Cwik, J. C., Margraf, J., & Schneider, S. (2017). Overdiagnosis of mental disorders in children and adolescents (in developed countries). Child and adolescent psychiatry and mental health, 11, 1-11. [DOI:10.1186/s13034-016-0140-5]
17. Pang, Y., Lee, C. M., Wright, M., Shen, J., Shen, B., & Bo, J. (2018). Challenges of case identification and diagnosis of autism spectrum disorders in China: A critical review of procedures, assessment, and diagnostic criteria. Research in Autism Spectrum Disorders, 53, 53-66. [DOI:10.1016/j.rasd.2018.06.003]
18. Randall, M., Egberts, K. J., Samtani, A., Scholten, R. J., Hooft, L., Livingstone, N., . . . Williams, K. (2018). Diagnostic tests for autism spectrum disorder (ASD) in preschool children. Cochrane database of systematic reviews(7). [DOI:10.1002/14651858.CD009044.pub2]
19. Rey, G. F., Rodríguez, J. S., Llinares, M. L., Vicens, P., Llauradó, C. C., Torné, M. T., & Vives, F. M. (2019). A systematic review of instruments for early detection of autism spectrum disorders. International journal of psychology and psychological therapy, 19(1), 29-38.
20. Rump, K. M., Giovannelli, J. L., Minshew, N. J., & Strauss, M. S. (2009). The development of emotion recognition in individuals with autism. Child development, 80(5), 1434-1447. [DOI:10.1111/j.1467-8624.2009.01343.x]
21. Volkmar, F. R. (2019). Autism and pervasive developmental disorders. Cambridge University Press. [DOI:10.1017/9781108297769]
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