Journals / Fizyoterapi Rehabilitasyon / 2007 / Cilt: 18 - Sayı: 1

Determination of musculoskeletal pain risk factors using logistic regression analysis: a pilot study

Kas iskelet sisteminde ağrıya ait risk faktörlerinin lojistik regresyon analizi ile belirlenmesi: pilot çalışma

Pages
20–27
Publication Date
2022-10-17
DOI
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AI Summary & Key Takeaways

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

Career (workers as compared to nonworkers), age, body mass index, and stress were the most important factors that increased pain complaint possibility (p

📌 3 Key Takeaways

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Objective & Hypothesis:Purpose: The aim of the study was to determine the important risk factors that influence musculoskeletal pain which negatively affects daily living.
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Key Findings & Data:Material and Methods: An inquiry which consisted of 15 questions was applied to randomly chosen 2852 subjects living in different geographic regions of Turkey.
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Conclusion & Impact:Career (workers as compared to nonworkers), age, body mass index, and stress were the most important factors that increased pain complaint possibility (p
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Purpose: The aim of the study was to determine the important risk factors that influence musculoskeletal pain which negatively affects daily living. Material and Methods: An inquiry which consisted of 15 questions was applied to randomly chosen 2852 subjects living in different geographic regions of Turkey. Patients with neurological disorders, cancer, and surgery history were not included in the study. With logistic regression analysis, the risk factors that influence pain were determined. Results: Gender (being male as compared to female), sleep duration, happiness were the most important factors that decreased pain complaint possibility. Career (workers as compared to nonworkers), age, body mass index, and stress were the most important factors that increased pain complaint possibility (p

Özet

Amaç: Çalışmanın amacı, bireylerde günlük yaşantıyı olumsuz yönde etkileyen kas iskelet sistemi kaynaklı ağrıya etki eden önemli risk faktörlerini belirlemekti. Gereç ve yöntem: Türkiye’nin farklı coğrafi bölgelerinde rasgele 2852 olguya 15 sorudan oluşan anket uygulandı. Nörolojik ve kanser kökenli tanıları olan ve cerrahi geçirmiş olan bireyler çalışmaya alınmadı. Elde edilen verilere lojistik regresyon analizi uygulanarak ağrı üzerine etkili risk faktörleri belirlenmeye çalışıldı. Sonuçlar: Cinsiyet (erkek olmanın kadın olmaya göre), uyku süresinin, mutluluk hissinin ağrı şikayeti olasılığını azaltıcı, meslek (herhangi bir işte çalışıyor olmanın çalışmamaya göre), yaş, vücut kütle indeksi, stresli olma hissinin, ağrı şikayeti üzerinde artırıcı etkiye sahip en önemli risk faktörleri olduğu belirlendi (p

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Cite This Article

ARAS, Ö., ELEM, E., AKSOY, C. C., CIMBIZ, A., ÖZTÜRK, S., UZGÖREN, N. (2022). Determination of musculoskeletal pain risk factors using logistic regression analysis: a pilot study. Fizyoterapi Rehabilitasyon, Cilt: 18 - Sayı: 1, 20–27. https://ajindex.com/articles/516911

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