ORIJINAL ARAŞTIRMA
Türkiye’de Bel Ağrısı ile Risk Faktörleri Arasındaki İlişkinin Popülasyona Dayalı Çok Düzeyli Kesitsel Veri Setinin Kullanılarak Belirlenmesi
Determination of the Relationship between Low Back Pain and Risk Factors in Türkiye Using a Population-Based Multilevel Cross-Sectional Dataset
Received Date : 15 Nov 2022
Accepted Date : 31 Oct 2023
Available Online : 06 Nov 2023
Fatih BAYGUTALPa, Faruk URAKb, Abdulbaki BİLGİÇc, Ayhan KULa
aDepartment of Physical Therapy and Rehabilitation, Atatürk University Faculty of Health Sciences, Erzurum, Türkiye
bThe Turkish Radio and Television Corporation, Erzurum Directorate, Erzurum, Türkiye
cDepartment of Management Information Systems, Bilecik Şeyh Edebali University Faculty of Economics and Administrative Sciences, Bilecik, Türkiye
Doi: 10.31609/jpmrs.2022-94349 - Makale Dili: EN
J PMR Sci 2024;27(1):22-32.
ÖZET
Amaç: Bel ağrısı [low back pain (LBP)] insanların yaşlarına bakılmaksızın
hayatlarını önemli ölçüde etkileyen yaygın ve engelleyici bir
durum olup yaşam kalitesini ve hareketliliği önemli ölçüde azaltır. Bu çalışma,
Türkiye’de ulusal düzey aile bireyleri anketi kullanarak LBP ile demografik,
sosyoekonomik ve psikolojik faktörler dahil olmak üzere çeşitli
faktörler arasındaki ilişkiyi araştırmaktadır. Gereç ve Yöntemler: Analiz,
Türkiye İstatistik Kurumu tarafından Türkiye Hanehalkı Sağlık Araştırması’ndan
elde edilen çok seviyeli nüfus temelli kesitsel veri setini kullanmıştır.
Çalışma, 18 yaş ve üzeri 8,166 aile ve 17,084 bireyi içermiştir. Aileye
özgü farklılıkları dikkate alan rasgele etkiler probit modeli, LBP yaygınlığını
ve risk faktörlerini incelemek için kullanılmıştır. Bulgular: Katılımcıların
yaklaşık %31.9’u bir önceki yıl içinde LBP yaşadıklarını rapor etmiştir.
LBP ile ilişkilendirilen birçok bireysel ve aile özelliği bulunmaktadır, bunlar
arasında kadın cinsiyet, evlilik, ilerleyen yaş, yüksek kilo, sigara içme,
alkol kullanma, düşük eğitim, düşük gelir, az çocuk, fiziksel olarak zorlayıcı
iş, hastalık öyküsü, hipertansiyon ve az meyve tüketimi yer almaktadır. Depresyon,
hipertansiyona göre LBP riski üzerinde iki kat etki yapmıştır. Sonuç:
Bu çalışma, Türkiye’de LBP’yi etkileyen çeşitli faktörler hakkında bilgi
sunmaktadır ve bu bilgi, önleyici ve tedavi stratejilerini bilgilendirmelidir.
Örneğin, LBP’nın çok yönlü yapısı ve yaşa bağlı değişikliklere duyarlılığı
göz önüne alındığında, sağlık hizmeti sağlayıcıları kesin teşhis için yenilikçi
görüntüleme tekniklerine öncelik vermelidir. Bu tür teknolojiler, ağrının
kök nedenleri hakkında değerli içgörüler sunabilir ve klinik kararlarının
hızlandırılmasına yardımcı olabilir.
Anahtar Kelimeler: Depresyon; bel ağrısı; obezite; probit model; risk faktörleri
ABSTRACT
Objective: Low back pain (LBP) is a prevalent and debilitating
condition that impacts people of all ages, significantly reducing their
quality of life and mobility. This study explores the relationship between
LBP and various factors, including demographics, socioeconomics, and psychological
aspects, using a national-level survey of family members in
Turkey. Material and Methods: Analysis utilized a multilevel populationbased
cross-sectional dataset from the Turkish Household Health Survey by
the Turkish Statistical Institute. The study included 8,166 families and
17,084 individuals aged 18 and above. A random-effects probit model accounted
for familial heterogeneity to examine LBP prevalence and risk factors.
Results: Approximately 31.9% of participants reported experiencing
LBP in the previous year. Several individual and family characteristics were
linked to LBP, including female gender, marriage, advancing age, higher
weight, smoking, alcohol use, low education, low income, fewer children,
physically demanding work, history of diseases, hypertension, and low fruit
consumption. Depression had twice the impact on LBP risk compared to
hypertension. Conclusion: This study sheds light on diverse factors influencing
LBP in Turkey, which should inform preventive and treatment strategies.
For example, considering LBP’s multifaceted nature and susceptibility
to age-related changes, healthcare providers should prioritize innovative
imaging techniques for precise diagnosis. Such technologies can offer valuable
insights into the root causes of pain and expedite clinical decisions.
Keywords: Depression; low back pain; obesity; probit model; risk factors
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