Journals / Dicle Tıp Dergisi / 2014 / Cilt: 41 - Sayı: 1

İnternet kullanım sıklığının migrenli çocuk hastalarda yaşam kalitesi, anksiyete ve depresyon skorları üzerine etkileri

The effects of internet use intensity on quality of life, anxiety and depression scores in pediatric migraine

Pages
23–28
DOI
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⚡ TL;DR(Too Long; Didn't Read)

Conclusion: The misuse of Internet in adolescents with migraine might led to emotional and psychosocial impairment.

📌 3 Key Takeaways

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Objective & Hypothesis:Objective: We aim to compare the quality of life, anxiety and depression scores of schoolchildren and adolescent migraineurs with healthy subjects according to the intensity of their Internet use.
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Key Findings & Data:Methods: The migraine and control groups consisted of 142 migraineurs and 128 healthy children (age 9-17 years), respectively.
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Conclusion & Impact:Conclusion: The misuse of Internet in adolescents with migraine might led to emotional and psychosocial impairment.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Objective: We aim to compare the quality of life, anxiety and depression scores of schoolchildren and adolescent migraineurs with healthy subjects according to the intensity of their Internet use. Methods: The migraine and control groups consisted of 142 migraineurs and 128 healthy children (age 9-17 years), respectively. Subjects were divided into 3 groups according to the intensity of their Internet- use intensity: Group 1: occasional Internet users, Group 2: regular Internet users, group 3: heavy Internet users. The children were divided into two groups according to the age while psychiatric tests were done: school children (<12 years), adolescents (&#707;12 years). The psychiatric scales were accomplished by the Child Depression Inventory, the StateTrait Anxiety Inventory for Children and the Pediatric Quality of Life Inventory for Children. Statistical analysis was performed with PASW Statistics, v.13.0. Results: For the children with migraine under 12 years in our study, different intensity of Internet use did not differ from the depression or anxiety scores compared with the control group. In the adolescent group, the scores about emotional role restriction and psychosocial functioning were higher than in the control group to a statistically significant level (p=0.008 and 0.02, respectively). Conclusion: The misuse of Internet in adolescents with migraine might led to emotional and psychosocial impairment.

Özet

Amaç: Migren tanısı ile takipli okul çocuğu ve ergenlerin internet kullanım sıklığına göre yaşam kalite indeksi, anksiyete ve depresyon skorlarının, sağlıklı çocuklarla karşı- laştırılması amaçlanmıştır. Yöntemler: 9-17 yaş arasında, migren tanısı alan 142 hasta ile aynı yaş ve cinsiyetteki 128 sağlıklı çocuk çalışmaya alındı. Hastaların öykü, öz ve soy geçmiş ve antropometrik ölçümleri de içeren fizik muayene bulguları kaydedildi. Hastalar ergen (˃12 yaş) ve ergen öncesi (<12 yaş) olarak gruplandırıldı. Her yaş grubu, İnternet kullanım sıklığına göre 3 gruba ayrıldı: Grup 1: seyrek internet kullananlar (< 1 saat/hafta) Group 2: düzenli internet kullananlar (< 2 saat/ gün, haftada birkaç gün), group 3: sürekli internet kullananlar (˃2 saat /gün, haftanın her günü). Psikiatrik testler çocuklar için yaşam kalitesi ölçek formu (Pediatric Quality of Life Inventory for Children: PedQL), çocuk depresyon ölçeği (Child Depression Inventory: CDI) ve nasıl hissediyorum anketi 1,2 (the State-Trait Anxiety Inventory for Children: STAI-C) ile yapıldı. Bulgular: Yaş, cinsiyet ne antropometrik ölçümlerde gruplar arasında fark saptanmadı. 12 yaşın altındaki hastalarda, kontrol grubu ile migren grubu arasında, internet kullanım sıklığına göre depresyon anksiyete ve yaşam kalitesi skorlarında anlamlı fark saptanmadı. Ergen ve sü- rekli internet kullanan migren grubunda, duygulanım ile ilgili sorunlar ve başkaları ile ilgili sorunlar kategorisinde, kontrol grubuna göre anlamlı fark saptandı (p=0,008 ve p=0,02). Sonuç: Ergen hastalarda, internet kullanımının yoğun olması psikososyal ve duygulanım sorunlarına yol açabilir.

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Cite This Article

TORUN, E., GÜLER, S., KÜÇÜKKOÇ, M., ÖLÇER, S., ARSLAN, H. (2014). İnternet kullanım sıklığının migrenli çocuk hastalarda yaşam kalitesi, anksiyete ve depresyon skorları üzerine etkileri. Dicle Tıp Dergisi, Cilt: 41 - Sayı: 1, 23–28. https://ajindex.com/articles/348891

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References (15)

  1. Chou C. Internet heavy use and addiction among Taiwanese college students: an online interview study. Cyberpsychol Behav 2001;4:573–585
  2. Hakala PT, Rimpela AH, Saarni LA, Salminen JJ. Frequent computer-related activities increase the risk of neck-shoulder and low back pain in adolescents. Eur J Public Health 2006;16:536 –541
  3. Kim K, Ryu E, Chon MY, et al. Internet addiction in Korean adolescents and its relation to depression and suicidal ideation: a questionnaire survey. Int J Nurs Stud 2006;43:185– 192
  4. Ko CH, Yen JY, Chen CS, et al. Predictive values of psychiatric symptoms for internet addiction in adolescents: A 2-year prospective study. Arch Pediatr Adolesc Med 2009;163:937–943
  5. Olesen J. International Headache Society classification and diagnostic criteria in children: a proposal for revision. Dev Med Child Neurol 1997;39:138
  6. Headache Classification Subcommittee of the International Headache Society. The International Classification of Headache Disorders: 2 nd edition. Cephalalgia 2004; 24 suppl 1:9
  7. Belanger RE, Akre C, Berchtold A, Michauld PA. A Ushaped association between intensity of Internet use and adolescent health. Pediatrics 2011;127:e330-5. doi: 10.1542/ peds.2010-1235
  8. Tsitsika A, Critselis E, Kormas G, et al. Internet use and misuse: A multivariate regression analyses of the predictive factors of internet use among Greek adolescents. Eur J Pediatr 2009;168:655-665
  9. Louacheni C, Plancke L, Israel M. Teenagers screen-watching habits in their leisure time: use and misuse of internet, play stations and television. Psychotropes 2007;13:3-4
  10. Kovacs M. Rating scales to assess depression in schoolage children. Acta Paedopsychatr 1980;46:305-315
  11. Spielberger CD. Vagg PR. Psychometric properties of the STAI: a reply to Ramanaiah, Franzen, and Schill. J Pers Assess 1984;48: 87-95
  12. Varni JW, Seid M, Rode CA. The PedsQL: measurement model for the pediatric quality of life inventory. Med Care 1999;37:126-139
  13. Varni JW, Seid M, Kurtin PS. The PedsQLTM 4.0: reliability and validity of the Pediatric Quality of Life Inventory TM version 4.0 generic core scales in healthy and patient populations. Med Care 2001;39:800-812
  14. Varni JW, Burwinkle TM, Seid M. The PedsQL as a pediatric patient-reported outcome: reliability and validity of the PedsQL Measurement Model in 25,000 children. Expert Rev Pharmacoecon Outcomes Res 2005;5:705-719
  15. Cakin Memik N, Agaoglu B, Coskun A, et. al. The Validity and Reliability