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KARAYOLU TRAFİK YARALANMALARI KÜRESEL HASTALIK YÜKÜNÜN ZAMANSAL EĞİLİMLERİNİN KARŞILAŞTIRILMASI

Yıl 2025, Cilt: 7 Sayı: 1, 28 - 43

Hatice Cancan , Vahit Yiğit

Öz

Karayolu Yolu Trafik Yaralanmaları (RTI), Küresel boyutta, Sosyo-Demografik Indeks (SDI) ülke grupları ve Türkiye’de önde gelen ölüm nedenleri arasında yer alan önemli bir halk sağlığı sorunudur. Çalışma, 1990-2019 yılları arasında RTI’ların prevalans, ölüm oranları ve DALY’lerin zamansal eğilimlerin belirlenmesi ve değerlendirilmesini amaçlamaktadır. Değerlendirme Küresel, SDI ülke grupları ve Türkiye karşılaştırmalarını içermektedir. 1990-2019 yılları arasında RTI prevalans, ölüm ve DALY oranları Joinpoint Regresyon Analizi (JRA) yöntemi ile analiz edilmiştir. Araştırma verileri Institute for Health Metrics and Evaluation (IHME) veri tabanından elde edilmiştir. Çalışmada, prevalans, ölüm oranı ve DALY değişken olarak kullanılmış ve TRI’ların zamansal eğilimleri Küresel, SDI ülke grupları ve Türkiye arasında karşılaştırılmıştır. RTI ölüm oranlarına bakıldığında, en düşükten yükseğe doğru bölgeler sırasıyla Yüksek SDI (9,259), Yüksek-Orta SDI (11,956), Küresel (14,985), Düşük-Orta SDI (17,239), Orta SDI (17,451) ve Düşük SDI (19,895) ülkeleridir. En yüksek ölüm oranları Düşük SDI ülkelerinde gerçekleşmektedir. RTI prevalans SDI bölgeleri arasında, en düşükten yükseğe doğru sırasıyla Yüksek SDI (1932,425), Orta SDI (3198,143), Küresel (3425,181), Yüksek-Orta SDI (3485,405), Düşük SDI (4322,152) ve Düşük-Orta SDI (4907,245) ülke grupları yer almaktadır. RTI hastalık yükü verisi olan DALY oranlarına bakıldığında ise en düşükten sırasıyla; Türkiye (508,913), Yüksek SDI (562,111), Yüksek-Orta SDI (763,36), Küresel (917,937), Orta SDI (987,992), Düşük-Orta SDI (1080,249) ve Düşük SDI (1152,152) ülkeleri yer almaktadır. Ölüm oranlarındaki gelişmelere rağmen, karayolu yaralanmaları dünya çapında kritik öneme sahip hastalık ve ölüm nedeni olmaya devam etmektedir ve özellikle gelişmekte olan ekonomilerde yol yaralanmalarının nasıl önlenebileceğini daha iyi ölçmek ve anlamak için daha fazla araştırmaya ihtiyaç duyulmaktadır. Önleyici tedbirlere yatırım yapmak ve karayolu yaralanması mağdurlarının ilk müdahale travmasına ve tıbbi bakıma erişimini sağlamak, gelecekte karayolu yaralanması yükünde iyileştirmelere yol açabilir.

Anahtar Kelimeler

Karayolu Trafik Yaralanmaları Global Hastalık Yükü DALY Joinpoint Regresyon Modeli

Kaynakça

  • Cayuela, A., Dominguez, S. R., Campos, J. L., Candelera, R. O., & Matutes, C. R. (2004). Joinpoint regression analysis of lung cancer mortality in Andalusia, 1975–2000. Annals of Oncology , 15(5), 793-796. https://doi.org/10.1093/annonc/mdh253
  • Clement, N. D., Tennant, C., & Muwanga, C. (2010). Polytrauma in the elderly: Predictors of the cause and time of death. Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine , 18, Article 26. https://doi.org/10.1186/1757-7241-18-26
  • Ellis, L., Woods, L. M., Estève, J., Eloranta, S., Coleman, M. P., & Rachet, B. (2014). Cancer incidence, survival and mortality: Explaining the concepts. International Journal of Cancer , 135(8), 1774-1782. https://doi.org/10.1002/ijc.28990
  • Gómez-Dantés, H., Fullman, N., Lamadrid-Figueroa, H., Cahuana-Hurtado, L., Darney, B., Avila-Burgos, L., & et al. (2016). Dissonant health transition in the states of Mexico, 1990–2013: A systematic analysis for the Global Burden of Disease Study 2013. The Lancet , 388(10058), 2386–2402. https://doi.org/10.1016/S0140-6736(16)31773-1
  • Gabbe, B. J., Lyons, R. A., Fitzgerald, M. C., & et al. (2015). Reduced population burden of road transport-related major trauma after introduction of an inclusive trauma system. Annals of Surgery , 261(3), 565–572. https://doi.org/10.1097/SLA.0000000000000827
  • Institute for Health Metrics and Evaluation. (2020). Global Burden of Disease Study 2019 (GBD 2019) results . Seattle, WA: Author. Available from: https://vizhub.healthdata.org/gbd-compare/
  • Goniewicz, K., Goniewicz, M., Pawłowski, W., & et al. (2016). Road accident rates: Strategies and programmes for improving road traffic safety. European Journal of Trauma and Emergency Surgery , 42(4), 433–438. https://doi.org/10.1007/s00068-016-0645-z
  • Goovaerts, P., & Xiao, H. (2011). Geographical, temporal and racial disparities in late stage prostate cancer incidence across Florida: A multiscale joinpoint regression analysis. International Journal of Health Geographics , 10, Article 63. https://doi.org/10.1186/1476-072X-10-63
  • Híjar, M., Pérez-Núñez, R., Hidalgo-Solórzano, E., Hernández Prado, B., Valdez-Santiago, R., Hamilton, E. B., & et al. (2020). Unintentional injuries in Mexico, 1990–2017: Findings from the Global Burden of Disease Study 2017. Injury Prevention , 26(Supp 1), i154–i161. https://doi.org/10.1136/injuryprev-2019-043532
  • James, S. L., Lucchesi, L. R., Bisignano, C., Castle, C. D., Dingels, Z. V., Fox, J. T., & et al. (2020). Morbidity and mortality from road injuries: Results from the Global Burden of Disease Study 2017. Injury Prevention , 26(Supp 1), i46–i56. https://doi.org/10.1136/injuryprev-2019-043302
  • Kim, H. J., Fay, M. P., Yu, B., Barrett, M. J., & Feuer, E. J. (2004). Comparability of segmented line regression models. Biometrics , 60(4), 1005-1014. https://doi.org/10.1111/j.0006-341X.2004.00227.x
  • MacKenzie, E. J., Rivara, F. P., Jurkovich, G. J., & et al. (2006). A national evaluation of the effect of trauma-center care on mortality. New England Journal of Medicine , 354(4), 366–378. https://doi.org/10.1056/NEJMoa062042
  • Odero, W., Garner, P., & Zwi, A. (1997). Road traffic injuries in developing countries: A comprehensive review of epidemiological studies. Tropical Medicine & International Health , 2(5), 445–460. https://doi.org/10.1046/j.1365-3156.1997.d01-1910.x
  • Statistical Research and Applications Branch, National Cancer Institute. (n.d.). Statistical research and applications . Retrieved October 1, 2022, from https://www.cancer.gov/about-nci/organization/dccps/branch/statistical-research
  • United Nations. (2020). Sustainable Development Goal 11: Make cities and human settlements inclusive, safe, resilient and sustainable . New York: United Nations. Available from: https://sdgs.un.org/goals/goal11
  • United Nations. (2020). Sustainable Development Goal 3: Ensure healthy lives and promote well-being for all at all ages . New York: United Nations. Available from: https://sustainabledevelopment.un.org/sdg3
  • World Health Organization. (2018). Global status report on road safety 2018 . World Health Organization. Available from: http://www.who.int/violence_injury_prevention/road_safety_status
  • World Bank. (2017). The high toll of traffic injuries: Unacceptable and preventable . World Bank.
  • World Health Organization. (2018). Global status report on road safety 2018 . World Health Organization.
  • World Health Organization. (2015). Global status report on road safety 2015 . World Health Organization.
  • Global Burden of Disease Study. (2019). Global Burden of Disease Study 2019 .

COMPARISON OF TEMPORAL TRENDS OF GLOBAL DISEASE BURDEN IN ROAD TRAFFIC INJURIES

Yıl 2025, Cilt: 7 Sayı: 1, 28 - 43

Hatice Cancan , Vahit Yiğit

Öz

Road Traffic Injuries (RTI) is an important public health problem, which is among the leading causes of death in the Global, in Socio-Demographic Index (SDI) country groups and in Turkey. The study aims to determine and evaluate the prevalence, mortality rates of RTIs and temporal trends of DALYs between 1990 and 2019. The assessment includes comparisons of Global, SDI country groups and Turkey. RTI prevalence, mortality and DALY rates between 1990 and 2019 were analyzed using the Joinpoint Regression Analysis (JRA) method. Research data were obtained from the Institute for Health Metrics and Evaluation (IHME) database. In the study, prevalence, mortality and DALY were used as variables and temporal trends of TRIs were compared between Global, SDI country groups and Turkey. Looking at the RTI death rates, from lowest to highest, the regions are High SDI (9,259), High-Medium SDI (11,956), Global (14,985), Low-Mid SDI (17,239), Medium SDI (17,451) and Low SDI (19,895). . The highest death rates occur in Low SDI countries. Among the RTI prevalence SDI regions, from lowest to highest, High SDI (1932,425), Moderate SDI (3198,143), Global SDI (3425,181), High-Medium SDI (3485,405), Low SDI (4322, 152) and Low-Middle SDI (4907,245) country groups. Considering the DALY rates, which are the RTI burden of disease data, from the lowest to the following; Turkey (508,913), High SDI (562,111), High-Medium SDI (763.36), Global (917,937), Medium SDI (987,992), Low-Medium SDI (1080,249) and Low SDI (1152.152) countries is located. Despite improvements in death rates, road injuries remain a critically important cause of illness and death worldwide, and more research is needed to better quantify and understand how road injuries can be prevented, particularly in developing economies. Investing in preventive measures and ensuring road injury victims have access to first responder trauma and medical care can lead to improvements in road injury burden in the future.

Anahtar Kelimeler

Road Traffic Injuries Global Burden of Disease DALY Joinpoint Regression Model

Kaynakça

  • Cayuela, A., Dominguez, S. R., Campos, J. L., Candelera, R. O., & Matutes, C. R. (2004). Joinpoint regression analysis of lung cancer mortality in Andalusia, 1975–2000. Annals of Oncology , 15(5), 793-796. https://doi.org/10.1093/annonc/mdh253
  • Clement, N. D., Tennant, C., & Muwanga, C. (2010). Polytrauma in the elderly: Predictors of the cause and time of death. Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine , 18, Article 26. https://doi.org/10.1186/1757-7241-18-26
  • Ellis, L., Woods, L. M., Estève, J., Eloranta, S., Coleman, M. P., & Rachet, B. (2014). Cancer incidence, survival and mortality: Explaining the concepts. International Journal of Cancer , 135(8), 1774-1782. https://doi.org/10.1002/ijc.28990
  • Gómez-Dantés, H., Fullman, N., Lamadrid-Figueroa, H., Cahuana-Hurtado, L., Darney, B., Avila-Burgos, L., & et al. (2016). Dissonant health transition in the states of Mexico, 1990–2013: A systematic analysis for the Global Burden of Disease Study 2013. The Lancet , 388(10058), 2386–2402. https://doi.org/10.1016/S0140-6736(16)31773-1
  • Gabbe, B. J., Lyons, R. A., Fitzgerald, M. C., & et al. (2015). Reduced population burden of road transport-related major trauma after introduction of an inclusive trauma system. Annals of Surgery , 261(3), 565–572. https://doi.org/10.1097/SLA.0000000000000827
  • Institute for Health Metrics and Evaluation. (2020). Global Burden of Disease Study 2019 (GBD 2019) results . Seattle, WA: Author. Available from: https://vizhub.healthdata.org/gbd-compare/
  • Goniewicz, K., Goniewicz, M., Pawłowski, W., & et al. (2016). Road accident rates: Strategies and programmes for improving road traffic safety. European Journal of Trauma and Emergency Surgery , 42(4), 433–438. https://doi.org/10.1007/s00068-016-0645-z
  • Goovaerts, P., & Xiao, H. (2011). Geographical, temporal and racial disparities in late stage prostate cancer incidence across Florida: A multiscale joinpoint regression analysis. International Journal of Health Geographics , 10, Article 63. https://doi.org/10.1186/1476-072X-10-63
  • Híjar, M., Pérez-Núñez, R., Hidalgo-Solórzano, E., Hernández Prado, B., Valdez-Santiago, R., Hamilton, E. B., & et al. (2020). Unintentional injuries in Mexico, 1990–2017: Findings from the Global Burden of Disease Study 2017. Injury Prevention , 26(Supp 1), i154–i161. https://doi.org/10.1136/injuryprev-2019-043532
  • James, S. L., Lucchesi, L. R., Bisignano, C., Castle, C. D., Dingels, Z. V., Fox, J. T., & et al. (2020). Morbidity and mortality from road injuries: Results from the Global Burden of Disease Study 2017. Injury Prevention , 26(Supp 1), i46–i56. https://doi.org/10.1136/injuryprev-2019-043302
  • Kim, H. J., Fay, M. P., Yu, B., Barrett, M. J., & Feuer, E. J. (2004). Comparability of segmented line regression models. Biometrics , 60(4), 1005-1014. https://doi.org/10.1111/j.0006-341X.2004.00227.x
  • MacKenzie, E. J., Rivara, F. P., Jurkovich, G. J., & et al. (2006). A national evaluation of the effect of trauma-center care on mortality. New England Journal of Medicine , 354(4), 366–378. https://doi.org/10.1056/NEJMoa062042
  • Odero, W., Garner, P., & Zwi, A. (1997). Road traffic injuries in developing countries: A comprehensive review of epidemiological studies. Tropical Medicine & International Health , 2(5), 445–460. https://doi.org/10.1046/j.1365-3156.1997.d01-1910.x
  • Statistical Research and Applications Branch, National Cancer Institute. (n.d.). Statistical research and applications . Retrieved October 1, 2022, from https://www.cancer.gov/about-nci/organization/dccps/branch/statistical-research
  • United Nations. (2020). Sustainable Development Goal 11: Make cities and human settlements inclusive, safe, resilient and sustainable . New York: United Nations. Available from: https://sdgs.un.org/goals/goal11
  • United Nations. (2020). Sustainable Development Goal 3: Ensure healthy lives and promote well-being for all at all ages . New York: United Nations. Available from: https://sustainabledevelopment.un.org/sdg3
  • World Health Organization. (2018). Global status report on road safety 2018 . World Health Organization. Available from: http://www.who.int/violence_injury_prevention/road_safety_status
  • World Bank. (2017). The high toll of traffic injuries: Unacceptable and preventable . World Bank.
  • World Health Organization. (2018). Global status report on road safety 2018 . World Health Organization.
  • World Health Organization. (2015). Global status report on road safety 2015 . World Health Organization.
  • Global Burden of Disease Study. (2019). Global Burden of Disease Study 2019 .
Toplam 21 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Sağlık Yönetimi
Bölüm Araştırma Makalesi
Yazarlar

Hatice Cancan 0000-0003-1035-9984

Vahit Yiğit 0000-0002-9805-8504

Erken Görünüm Tarihi 27 Haziran 2025
Yayımlanma Tarihi
Gönderilme Tarihi 29 Ocak 2025
Kabul Tarihi 13 Mayıs 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 7 Sayı: 1

Kaynak Göster

APA Cancan, H., & Yiğit, V. (2025). KARAYOLU TRAFİK YARALANMALARI KÜRESEL HASTALIK YÜKÜNÜN ZAMANSAL EĞİLİMLERİNİN KARŞILAŞTIRILMASI. SDÜ Sağlık Yönetimi Dergisi, 7(1), 28-43.
AMA Cancan H, Yiğit V. KARAYOLU TRAFİK YARALANMALARI KÜRESEL HASTALIK YÜKÜNÜN ZAMANSAL EĞİLİMLERİNİN KARŞILAŞTIRILMASI. SDÜ Sağlık Yönetimi Dergisi. Haziran 2025;7(1):28-43.
Chicago Cancan, Hatice, ve Vahit Yiğit. “KARAYOLU TRAFİK YARALANMALARI KÜRESEL HASTALIK YÜKÜNÜN ZAMANSAL EĞİLİMLERİNİN KARŞILAŞTIRILMASI”. SDÜ Sağlık Yönetimi Dergisi 7, sy. 1 (Haziran 2025): 28-43.
EndNote Cancan H, Yiğit V (01 Haziran 2025) KARAYOLU TRAFİK YARALANMALARI KÜRESEL HASTALIK YÜKÜNÜN ZAMANSAL EĞİLİMLERİNİN KARŞILAŞTIRILMASI. SDÜ Sağlık Yönetimi Dergisi 7 1 28–43.
IEEE H. Cancan ve V. Yiğit, “KARAYOLU TRAFİK YARALANMALARI KÜRESEL HASTALIK YÜKÜNÜN ZAMANSAL EĞİLİMLERİNİN KARŞILAŞTIRILMASI”, SDÜ Sağlık Yönetimi Dergisi, c. 7, sy. 1, ss. 28–43, 2025.
ISNAD Cancan, Hatice - Yiğit, Vahit. “KARAYOLU TRAFİK YARALANMALARI KÜRESEL HASTALIK YÜKÜNÜN ZAMANSAL EĞİLİMLERİNİN KARŞILAŞTIRILMASI”. SDÜ Sağlık Yönetimi Dergisi 7/1 (Haziran 2025), 28-43.
JAMA Cancan H, Yiğit V. KARAYOLU TRAFİK YARALANMALARI KÜRESEL HASTALIK YÜKÜNÜN ZAMANSAL EĞİLİMLERİNİN KARŞILAŞTIRILMASI. SDÜ Sağlık Yönetimi Dergisi. 2025;7:28–43.
MLA Cancan, Hatice ve Vahit Yiğit. “KARAYOLU TRAFİK YARALANMALARI KÜRESEL HASTALIK YÜKÜNÜN ZAMANSAL EĞİLİMLERİNİN KARŞILAŞTIRILMASI”. SDÜ Sağlık Yönetimi Dergisi, c. 7, sy. 1, 2025, ss. 28-43.
Vancouver Cancan H, Yiğit V. KARAYOLU TRAFİK YARALANMALARI KÜRESEL HASTALIK YÜKÜNÜN ZAMANSAL EĞİLİMLERİNİN KARŞILAŞTIRILMASI. SDÜ Sağlık Yönetimi Dergisi. 2025;7(1):28-43.
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