Journals / Anadolu Kliniği Tıp Bilimleri Dergisi / 2023 / Cilt: 28 Sayı: 2

Risk factors for reduced core endurance, fatigue and physical inactivity in medical students

Tıp fakültesi öğrencilerinde azalmış kor enduransı, yorgunluk ve fiziksel inaktivite için risk faktörleri

Pages
139–148
Publication Date
2023-05-23
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Improving core endurance is protective for physical inactivity.

📌 3 Key Takeaways

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Objective & Hypothesis:Aim: In medical faculty students’ investigation of risk factors for physical inactivity and fatigue and basic resilience is important to identify individuals at risk.
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Key Findings & Data:Methods: This quantitative cross-sectional study was conducted with 201 healthy volunteer medical faculty students.
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Conclusion & Impact:Improving core endurance is protective for physical inactivity.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Bel ağrısı · fiziksel dayanıklılık · tıp öğrencileri

Abstract

Aim: In medical faculty students’ investigation of risk factors for physical inactivity and fatigue and basic resilience is important to identify individuals at risk. The primary aim of this study was to determine the factors affecting core endurance, fatigue, and physical inactivity in medical faculty students. The secondary aim is to evaluate the relationship between core endurance and fatigue, physical activity, and low back pain. Additionally, to investigate the relationship between fatigue and physical activity level. Methods: This quantitative cross-sectional study was conducted with 201 healthy volunteer medical faculty students. Demographic data and the history of low back pain were recorded. The trunk flexors endurance test (FLET), Modified Biering-Sorensen test (MBST), and lateral bridge test (LBT) were used to measure trunk muscle core endurance. The physical activity levels of the participants were measured using the “International Physical Activity Scale” (IPAQ). The fatigue Severity Scale was used for the evaluation of fatigue. Results: FLET (p=0.021), MBST (p=0.004), LBT-Right (<0.001), LBT-Left (<0.001) tests were significantly higher in the group with FSS <2.3. A significant correlation was found between female gender and FLET (p<0.001), MBST (p<0.001), LBT-Right (p<0.001), LBT-Left (p<0.001). Gender (p=0.049), MBST (p=0.003) and MET 3 (p=0.025) were determined as factors affecting fatigue in the regression model. Female gender (OR= 0.376; p= 0.049) and MBST (OR= 0.986; p= 0.003) was determined as a risk factor for fatigue. Conclusion: Female gender, decreased core endurance, and physical inactivity are protective factors affecting fatigue in medical school students. Age, gender, body mass index, smoking, alcohol, and low back pain history were not found to be risk factors for physical inactivity. Improving core endurance is protective for physical inactivity.

Özet

Amaç: Tıp fakültesi öğrencilerinde fiziksel hareketsizlik, yorgunluk ve temel dayanıklılık için risk faktörlerinin araştırılması, risk altındaki bireyleri belirlemek için önemlidir. Araştırmanın temel amacı, tıp fakültesi öğrencilerinde yorgunluğu, fiziksel aktivite düzeyini ve kor enduransını etkileyen faktörleri belirlemektir. İkincil amaç ise, gövde dayanıklılığı ile yorgunluk, fiziksel aktivite ve bel ağrısı arasındaki ilişkiyi değerlendirmektir. Ayrıca yorgunluk ile fiziksel aktivite düzeyi arasındaki ilişkinin de araştırılmasıdır. Yöntemler: Bu nicel kesitsel çalışma, 201 sağlıklı gönüllü tıp fakültesi öğrencisi ile yapılmıştır. Demografik veriler ve bel ağrısı öyküsü kaydedildi. Gövde kas çekirdek dayanıklılığını ölçmek için gövde fleksör dayanıklılık testi (FLET), Modifiye Biering-Sorensen testi (MBST) ve lateral köprü testi (LBT) kullanıldı. Katılımcıların fiziksel aktivite düzeyleri “Uluslararası Fiziksel Aktivite Ölçeği” (IPAQ) kullanılarak ölçüldü.Katılımcıların yorgunluk düzeyi Yorgunluk Şiddet Ölçeği (FSS) ile değerlendirildi. Bulgular: Katılımcıların gövde endurans ölçümleri yorgunluk düzeyine göre değerlendirildiğinde; gövde fleksör dayanıklılık testi (FLET) (p=0,021), Modifiye Biering-Sorensen testi (MBST) (p=0,004), lateral köprü testi-Sağ (LBT-Sağ) (<0,001), lateral köprü testi-Sol (LBT-Sol) (<0,001) testleri Yorgunluk Şiddet Ölçeği <2,3 olan grupta anlamlı olarak daha yüksekti. Kadın cinsiyet ile FLET (p<0,001), MBST (p<0,001), LBT-Sağ (p<0,001), LBT-Sol (p<0,001) arasında anlamlı ilişki bulundu. Regresyon modelinde yorgunluğu etkileyen faktörler olarak cinsiyet (p=0.049), MBST (p=0.003) ve MET 3 (p=0.025) belirlendi. Kadın cinsiyet (OR= 0.376; p= 0.049) ve MBST (OR= 0.986; p= 0.003) yorgunluk için risk faktörü olarak belirlendi. Sonuç: Kadın cinsiyet, kor enduransının azalması ve fiziksel inaktivite, tıp fakültesi öğrencilerinde yorgunluğu etkileyen koruyucu faktörlerdir. Yaş, cinsiyet, beden kitle indeksi, sigara, alkol ve bel ağrısı öyküsü fiziksel inaktivite için risk faktörü olarak saptanmamıştır. Kor enduransının iyileştirilmesi fiziksel inaktivite için koruyucudur.

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Cite This Article

KARAÇAY, B. Ç., KONAR, N. M. (2023). Risk factors for reduced core endurance, fatigue and physical inactivity in medical students. Anadolu Kliniği Tıp Bilimleri Dergisi, Cilt: 28 Sayı: 2, 139–148. https://ajindex.com/articles/939028

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References (10)

  1. Rivera CE. Core and lumbopelvic stabilization in runners. Phys Med Rehabil Clin N Am. 2016;27(1):319-37.
  2. Bliss LS, Teeple P. Core stability: the centerpiece of any training program. Curr Sports Med Rep. 2005;4(3):179-83.
  3. Akduman V, Göcen Ozay Z, Sarı Z, Polat MG. Is there a relationship between physical activity level and core endurance? KOU Sag. Bil. Derg. 2019;5(2):60-5.
  4. Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1· 9 million participants. The Lancet Gl Hea. 2018;6(10):e1077-e86. Hilger-Kolb J, Loerbroks A, Diehl K. ‘When I have time pressure, sport is the first thing that is cancelled’: A mixed-methods study on barriers to physical activity among university students in Germany. J. Sport Sci. 2020;38(21):2479-88.
  5. Mohammed AH, Hassan BAR, Wayyes AM, et al. Lockdown Fatigue and University Students: Exploring the Factors That Play Significant Roles in the Level of Lockdown Fatigue Among University Students in the Era of COVID-19. Psychol Res Behav Manag. 2022;15:763-75.
  6. Korkmaz MD, Şahbaz T, Çiğdem-Karaçay B, Medin-Ceylan C, Ceylan US. Physical Activity Levels in the Turkish Population During the COVID-19 Lockdown: An Online Cross-Sectional Survey Study. İKSSTD 2021;13(2):98-103.
  7. Brown RF, Schutte NS. Direct and indirect relationships between emotional intelligence and subjective fatigue in university students. J Psychosom Res. 2006;60(6):585-93. von Bothmer MI, Fridlund B. Gender differences in health habits and in motivation for a healthy lifestyle among Swedish university students. Nurs Health Sci. 2005;7(2):107-18. Blair SN. Physical inactivity: the biggest public health problem of the 21st century. Br J Sports Med. 2009;43(1):1-2.
  8. Evans K, Refshauge KM, Adams R. Trunk muscle endurance tests: reliability, and gender differences in athletes. J Sci Med Sport. 2007;10(6):447-55. Biering-Sørensen F. Physical measurements as risk indicators for low-back trouble over a one-year period. Spine (Phila Pa 1976). 1984;9(2):106-19.
  9. Saglam M, Arikan H, Savci S, et al. International physical activity questionnaire: reliability and validity of the Turkish version. Percept Mot Skills. 2010;111(1):278-84.
  10. Gencay-Can A, Can SS. Validation of the Turkish version of the fatigue severity scale in patients with fibromyalgia. Rheumatol Int. 2012;32(1):27-31. Domain T. Outcome measure fatigue severity scale (FSS): Date of access: 01.02.2023. http://moving