Araştırma Makalesi
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Prevalence of migraine and the affecting sociodemographic factors in adolescents admitted to the polyclinic with headache in Aksaray Province

Yıl 2021, , 291 - 296, 30.06.2021
https://doi.org/10.34087/cbusbed.818591

Öz

Objective Headache is a complaint with an increasing rate in pediatric outpatient clinics, and it is more common in adolescence when children can express themselves more easily. In this study, we aimed to examine the incidence of migraine in patients admitted to our outpatient clinic with headache, and the sociodemographic factors and social effects affecting migraine attacks in patients diagnosed with migraine.
Material and Methods: 308 children between the ages of 11-17 who presented to Aksaray Education and Research Hospital Pediatri Outpatient Clinic between October 2018 and December 2019 with headache were included. A mini questionnaire consisting of 15 questions was given to the patients with migraine symptoms to define their headache more easily. The second questionnaire was applied to the patients who were evaluated in the outpatient clinic for the second time and diagnosed with migraine, to define social environmental factors and migraine attacks.
Results: The median age of the patients was 13.7 ± 1.1 years. 127 of these patients (41.2%) were male and 181 (58.8%) were female. Migraine was diagnosed in 26 patients (8.4%) out of 308 patients. When comparing the gender factor and computer use, it was found that there were 4 boys (44.4%) and 1 girl (17.7%) who had long-term computer use before migraine attack (p = 0.043). It was found that there were 6 girls (46.2%) and 1 boy (11.1%) who stated that they had problems with their friends during the day before the attack (p = 0.017).
Conclusion: As a result, it was seen in our study that the more frequent use of technological devices such as mobile phones and long-term computer use in the daily lives of adolescents and children affected migraine attacks.

Kaynakça

  • Lewis, D.W, Ashwal, S, Dahl, G, Dorbad, D, Practice parameter: Evaluation of children and adolescents with recurrent headaches, Neurology, 2002, 59, 490-498.
  • Bugdayc,i R, Ozge, A, Sasmaz, T, Kurt, A.O, Kaleagasi, H, Karakelle, A, Tezcan, H, Siva, A, Prevalence and factors affecting headache in Turkish school children, Pediatrics International, 2005, 47, 316-322.
  • Aslantaş, D, Metintaş, S, Unsal, A, Kalyoncu, C, Eskişehir kırsal kesim oğrencilerinde başağrısı sıklığı ve etkileyen faktörler, Sürekli Tıp Eğitimi Dergisi, 2007, 16, 1-5.
  • Bektaş, Ö, Uğur, C, Gençtürk, Z.B, Aysev, A, Sireli, Ö, Deda, G, Relationship of childhood headaches with preferences in leisure time activities, depression, anxiety and eating habits: A population-based, cross-sectional study, Cephalalgia, 2015, 35, 527-537.
  • Schwedt, T.J, Chronic migraine, British Medical Journal, 2014, 348, 1416.
  • Lewis, D.W, Toward the definition of childhood migraine, Current Opinion in Pediatrics, 2004, 16, 628-36. Anttila, P, Metsahonkala, L, Sillanpää, M, Long-term trends in the incidence of headache in Finnish school children, Pediatrics, 2006, 117, 1197-1201.
  • Cevoli S, Sancisi E, Pierangeli G, Grimaldi D, Zanigni S, Nicodemo M, Cortelli P, Montagna P, Chronic daily headache: risk factors and pathogenetic considerations, Neurological Sciences, 2006, 27(2), 168-173.
  • Poyrazoğlu, H.G, Kumandas, S, Canpolat, M, Gümüs, H, Elmali, F, Kara, A, Per, H, The prevalence of migraine and tension-type headache among schoolchildren in Kayseri, Turkey: an evaluation of sensitivity and specificity using multivariate analysis, Journal of Child Neurology, 2015, 30, 889-895.
  • Evcili, G, Ak, H, Göçmen, A.Y, Atalay, T, Tanık, N, Kış, N, Ergenlik Çağındaki Çocuklarda Migren Prevalansı ve Etki Eden Sosyodemografik Faktörler, Acıbadem Üniversitesi Sağlık Bilimleri Dergisi, 2014, 1, 77-80.
  • Tepecik Böyükbaş, İ, Çıtak Kurt, A.N, Tural Hesapçıoğlu, S, Uğurlu, M, Relationship between headache and Internet addiction in children, Turkish Journal of Medical sciences, 2019, 49, 1292-1297.
  • Stovner, Lj, Hagen, K, Jensen, R, Katsarava, Z, Lipton, R, Scher, A, et al., The global burden of headache: a documentation of headache prevalence and disability worldwide, Cephalalgia, 2007, 27, 193-210.
  • Schüz, J, Mobile phone use and exposures in children, Bioelectromagnetics, 2005, 7, 45-50.
  • Söderqvist, F, Hardell, L, Carlberg, M, Hansson Mild, K, Ownership and use of wireless telephones: a population-based study of Swedish children aged 7-14 years, British Medical Journal Public Health, 2007, 7, 105. Röösli, M, Frei, P, Mohler, E, Hug, K, Systematic review on the health effects of exposure to radiofrequency electromagnetic fields from mobile phone base stations, The Bulletin of the World Health Organization, 2010, 88, 887-896.
  • Carter, B, Rees, P, Hale, L, Bhattacharjee, D, Paradkar, MS, Association between portable screen-based media device access or use and sleep outcomes: a systematic review and meta-analysis, JAMA Pediatrics, 2016, 170, 1202-1208.
  • Wood, B, Rea, M.S, Plitnick, B, Figueiro, M.G, Light level and duration of exposure determine the impact of self-luminous tablets on melatonin suppression, Applied Ergonomics, 2013, 44, 237-240.
  • Cain, N, Gradisar, M, Electronic media use and sleep in school-aged children and adolescents: A review, Sleep Medicine, 2010, 735–742.
  • Hillert, L, Akerstedt, T, Lowden, A, Wiholm, C, Kuster, N, Ebert, S, et al., The effects of 884 MHz GSM wireless communication signals on headache and other symptoms: an experimental provocation study, Bioelectromagnetics, 2008, 29(3), 185-196
  • Thomee, S, Eklöf, M, Gustafsson, E, Nilsson, R, Hagberg, M, Prevalence of perceived stress, symptoms of depression and sleep disturbances in relation to information and communication technology (ICT) use among young adults – an explorative prospective study, Computers in Human Behavior, 2007, 23, 1300–1321.
  • Valentini, E, Curcio, G, Moroni, F, Ferrara, M, De Gennaro, L, Bertini, M, Neurophysiological effects of mobile phone electromagnetic fields on humans: a comprehensive review, Bioelectromagnetics, 2007, 28, 415–432.
  • Rubin, G.J, Hillert, L, Nieto-Hernandez, R, van Rongen, E, Oftedal, G, Do people with idiopathic environmental intolerance attributed to electromagnetic fields display physiological effects when exposed to electromagnetic fields? A systematic review of provocation studies, Bioelectromagnetics, 2011, 32, 593–609.
  • Ghorbani, N.R, Heidari, R.N, Effects of information and communication technology on youth's health knowledge, Asia Pacific Journal of Public Health, 2011, 23, 363-368.
  • Nuutinen, T, Roos, E, Ray, C, Villberg, J, Välimaa, R, Rasmussen, M, Holstein, B, Godeau, E, Beck, F, Léger, D, Tynjälä, J, Computer use, sleep duration and health symptoms: a cross-sectional study of 15-year olds in three countries, The International Journal of Public Health, 2014, 59(4), 619-628.
  • Juang, K.D, Wang, S.J, Fuh, J.L, Lu, S.R, Chen, Y.S, Association between adolescent chronic daily headache and childhood adversity: a community-based study, Cephalalgia, 2004, 24(1), 54-59.
  • Bigal, M.E, Lipton, R.B, Modifiable risk factors for migraine progression, Headache, 2006, 46, 1334- 1343.
  • Houle, T, Nash, J.M, Stress and headache chronification, Headache, 2008, 48, 40-44.

Aksaray İlindeki Polikiliniğe Baş Ağrısı ile Başvuran Adölesanlarda Migren Prevalansı ve Etki Eden Sosyodemografik Faktörler

Yıl 2021, , 291 - 296, 30.06.2021
https://doi.org/10.34087/cbusbed.818591

Öz

Giriş ve Amaç: Baş ağrısı çocuk polikliniklerinde giderek artan bir şikayettir ve ergenlik döneminde çocukların kendilerini daha kolay ifade edebildikleri dönemlerde daha sık görülür. Bu çalışmada, polikliniğimize baş ağrısı ile başvuran hastalarda migren sıklığını, migren tanısı almış hastalarda migren ataklarını etkileyen sosyodemografik faktörleri ve sosyal etkileri incelemeyi amaçladık.
Gereç ve Yöntemler: Aksaray Eğitim ve Araştırma Hastanesi Çocuk Sağlığı ve Hastalıkları Polikliniği'ne Ekim 2018 - Aralık 2019 tarihleri arasında baş ağrısı şikayeti ile başvuran 11-17 yaş arası 308 çocuk dahil edildi. Migren semptomları olan hastalara ağrılarını daha kolay tanımlayabilmek için 15 sorudan oluşan mini anket verildi. İkinci anket polikliniğinde ikinci kez değerlendirilen ve migren tanısı alan hastalara sosyal çevresel faktörleri ve migren ataklarını tanımlamak için uygulandı.
Bulgular: Hastaların ortanca yaşı 13.7 ± 1.1 yıldı. Bu hastaların 127'si (% 41,2) erkek, 181'i (% 58,8) kadındı. 308 hastanın 26'sında (% 8.4) migren tanısı kondu. Cinsiyet faktörü ve bilgisayar kullanımı karşılaştırıldığında, migren atağı öncesinde uzun süreli bilgisayar kullanan 4 erkek (% 44,4) ve 1 kız (% 17,7) olduğu saptandı (p = 0,043). Atak öncesinde gün içerisinde arkadaşlarıyla problem yaşadığını belirten 6 kız (%46,2) ve 1 erkek (%11,1) olduğu saptandı (p=0,017).
Sonuç: Çalışmamızda ergen ve çocukların günlük yaşamlarında cep telefonu ve uzun süreli bilgisayar gibi teknolojik cihazların daha sık kullanımının migren ataklarını etkilediği görüldü. Ayrıca stresli ilişki durumlarının genç migren hastalarında özellikle kızlarda atakları şiddetlendirebileceği tespit edilmiştir. Daha geniş hasta popülasyonu ile randomize kontrollü prospektif çalışmaların çocuk ve ergenlerde migren ataklarını etkileyen faktörler ve sosyodemografik veriler için literatüre katkı sağlayacağını düşünüyoruz.

Kaynakça

  • Lewis, D.W, Ashwal, S, Dahl, G, Dorbad, D, Practice parameter: Evaluation of children and adolescents with recurrent headaches, Neurology, 2002, 59, 490-498.
  • Bugdayc,i R, Ozge, A, Sasmaz, T, Kurt, A.O, Kaleagasi, H, Karakelle, A, Tezcan, H, Siva, A, Prevalence and factors affecting headache in Turkish school children, Pediatrics International, 2005, 47, 316-322.
  • Aslantaş, D, Metintaş, S, Unsal, A, Kalyoncu, C, Eskişehir kırsal kesim oğrencilerinde başağrısı sıklığı ve etkileyen faktörler, Sürekli Tıp Eğitimi Dergisi, 2007, 16, 1-5.
  • Bektaş, Ö, Uğur, C, Gençtürk, Z.B, Aysev, A, Sireli, Ö, Deda, G, Relationship of childhood headaches with preferences in leisure time activities, depression, anxiety and eating habits: A population-based, cross-sectional study, Cephalalgia, 2015, 35, 527-537.
  • Schwedt, T.J, Chronic migraine, British Medical Journal, 2014, 348, 1416.
  • Lewis, D.W, Toward the definition of childhood migraine, Current Opinion in Pediatrics, 2004, 16, 628-36. Anttila, P, Metsahonkala, L, Sillanpää, M, Long-term trends in the incidence of headache in Finnish school children, Pediatrics, 2006, 117, 1197-1201.
  • Cevoli S, Sancisi E, Pierangeli G, Grimaldi D, Zanigni S, Nicodemo M, Cortelli P, Montagna P, Chronic daily headache: risk factors and pathogenetic considerations, Neurological Sciences, 2006, 27(2), 168-173.
  • Poyrazoğlu, H.G, Kumandas, S, Canpolat, M, Gümüs, H, Elmali, F, Kara, A, Per, H, The prevalence of migraine and tension-type headache among schoolchildren in Kayseri, Turkey: an evaluation of sensitivity and specificity using multivariate analysis, Journal of Child Neurology, 2015, 30, 889-895.
  • Evcili, G, Ak, H, Göçmen, A.Y, Atalay, T, Tanık, N, Kış, N, Ergenlik Çağındaki Çocuklarda Migren Prevalansı ve Etki Eden Sosyodemografik Faktörler, Acıbadem Üniversitesi Sağlık Bilimleri Dergisi, 2014, 1, 77-80.
  • Tepecik Böyükbaş, İ, Çıtak Kurt, A.N, Tural Hesapçıoğlu, S, Uğurlu, M, Relationship between headache and Internet addiction in children, Turkish Journal of Medical sciences, 2019, 49, 1292-1297.
  • Stovner, Lj, Hagen, K, Jensen, R, Katsarava, Z, Lipton, R, Scher, A, et al., The global burden of headache: a documentation of headache prevalence and disability worldwide, Cephalalgia, 2007, 27, 193-210.
  • Schüz, J, Mobile phone use and exposures in children, Bioelectromagnetics, 2005, 7, 45-50.
  • Söderqvist, F, Hardell, L, Carlberg, M, Hansson Mild, K, Ownership and use of wireless telephones: a population-based study of Swedish children aged 7-14 years, British Medical Journal Public Health, 2007, 7, 105. Röösli, M, Frei, P, Mohler, E, Hug, K, Systematic review on the health effects of exposure to radiofrequency electromagnetic fields from mobile phone base stations, The Bulletin of the World Health Organization, 2010, 88, 887-896.
  • Carter, B, Rees, P, Hale, L, Bhattacharjee, D, Paradkar, MS, Association between portable screen-based media device access or use and sleep outcomes: a systematic review and meta-analysis, JAMA Pediatrics, 2016, 170, 1202-1208.
  • Wood, B, Rea, M.S, Plitnick, B, Figueiro, M.G, Light level and duration of exposure determine the impact of self-luminous tablets on melatonin suppression, Applied Ergonomics, 2013, 44, 237-240.
  • Cain, N, Gradisar, M, Electronic media use and sleep in school-aged children and adolescents: A review, Sleep Medicine, 2010, 735–742.
  • Hillert, L, Akerstedt, T, Lowden, A, Wiholm, C, Kuster, N, Ebert, S, et al., The effects of 884 MHz GSM wireless communication signals on headache and other symptoms: an experimental provocation study, Bioelectromagnetics, 2008, 29(3), 185-196
  • Thomee, S, Eklöf, M, Gustafsson, E, Nilsson, R, Hagberg, M, Prevalence of perceived stress, symptoms of depression and sleep disturbances in relation to information and communication technology (ICT) use among young adults – an explorative prospective study, Computers in Human Behavior, 2007, 23, 1300–1321.
  • Valentini, E, Curcio, G, Moroni, F, Ferrara, M, De Gennaro, L, Bertini, M, Neurophysiological effects of mobile phone electromagnetic fields on humans: a comprehensive review, Bioelectromagnetics, 2007, 28, 415–432.
  • Rubin, G.J, Hillert, L, Nieto-Hernandez, R, van Rongen, E, Oftedal, G, Do people with idiopathic environmental intolerance attributed to electromagnetic fields display physiological effects when exposed to electromagnetic fields? A systematic review of provocation studies, Bioelectromagnetics, 2011, 32, 593–609.
  • Ghorbani, N.R, Heidari, R.N, Effects of information and communication technology on youth's health knowledge, Asia Pacific Journal of Public Health, 2011, 23, 363-368.
  • Nuutinen, T, Roos, E, Ray, C, Villberg, J, Välimaa, R, Rasmussen, M, Holstein, B, Godeau, E, Beck, F, Léger, D, Tynjälä, J, Computer use, sleep duration and health symptoms: a cross-sectional study of 15-year olds in three countries, The International Journal of Public Health, 2014, 59(4), 619-628.
  • Juang, K.D, Wang, S.J, Fuh, J.L, Lu, S.R, Chen, Y.S, Association between adolescent chronic daily headache and childhood adversity: a community-based study, Cephalalgia, 2004, 24(1), 54-59.
  • Bigal, M.E, Lipton, R.B, Modifiable risk factors for migraine progression, Headache, 2006, 46, 1334- 1343.
  • Houle, T, Nash, J.M, Stress and headache chronification, Headache, 2008, 48, 40-44.
Toplam 25 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Çocuk Sağlığı ve Hastalıkları
Bölüm Araştırma Makalesi
Yazarlar

Mehmet Semih Demirtaş 0000-0003-2965-1811

Yayımlanma Tarihi 30 Haziran 2021
Yayımlandığı Sayı Yıl 2021

Kaynak Göster

APA Demirtaş, M. S. (2021). Aksaray İlindeki Polikiliniğe Baş Ağrısı ile Başvuran Adölesanlarda Migren Prevalansı ve Etki Eden Sosyodemografik Faktörler. Celal Bayar Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi, 8(2), 291-296. https://doi.org/10.34087/cbusbed.818591
AMA Demirtaş MS. Aksaray İlindeki Polikiliniğe Baş Ağrısı ile Başvuran Adölesanlarda Migren Prevalansı ve Etki Eden Sosyodemografik Faktörler. CBU-SBED. Haziran 2021;8(2):291-296. doi:10.34087/cbusbed.818591
Chicago Demirtaş, Mehmet Semih. “Aksaray İlindeki Polikiliniğe Baş Ağrısı Ile Başvuran Adölesanlarda Migren Prevalansı Ve Etki Eden Sosyodemografik Faktörler”. Celal Bayar Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi 8, sy. 2 (Haziran 2021): 291-96. https://doi.org/10.34087/cbusbed.818591.
EndNote Demirtaş MS (01 Haziran 2021) Aksaray İlindeki Polikiliniğe Baş Ağrısı ile Başvuran Adölesanlarda Migren Prevalansı ve Etki Eden Sosyodemografik Faktörler. Celal Bayar Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi 8 2 291–296.
IEEE M. S. Demirtaş, “Aksaray İlindeki Polikiliniğe Baş Ağrısı ile Başvuran Adölesanlarda Migren Prevalansı ve Etki Eden Sosyodemografik Faktörler”, CBU-SBED, c. 8, sy. 2, ss. 291–296, 2021, doi: 10.34087/cbusbed.818591.
ISNAD Demirtaş, Mehmet Semih. “Aksaray İlindeki Polikiliniğe Baş Ağrısı Ile Başvuran Adölesanlarda Migren Prevalansı Ve Etki Eden Sosyodemografik Faktörler”. Celal Bayar Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi 8/2 (Haziran 2021), 291-296. https://doi.org/10.34087/cbusbed.818591.
JAMA Demirtaş MS. Aksaray İlindeki Polikiliniğe Baş Ağrısı ile Başvuran Adölesanlarda Migren Prevalansı ve Etki Eden Sosyodemografik Faktörler. CBU-SBED. 2021;8:291–296.
MLA Demirtaş, Mehmet Semih. “Aksaray İlindeki Polikiliniğe Baş Ağrısı Ile Başvuran Adölesanlarda Migren Prevalansı Ve Etki Eden Sosyodemografik Faktörler”. Celal Bayar Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi, c. 8, sy. 2, 2021, ss. 291-6, doi:10.34087/cbusbed.818591.
Vancouver Demirtaş MS. Aksaray İlindeki Polikiliniğe Baş Ağrısı ile Başvuran Adölesanlarda Migren Prevalansı ve Etki Eden Sosyodemografik Faktörler. CBU-SBED. 2021;8(2):291-6.