Association between the risk of chronification of musculoskeletal symptoms and sleep quality in Military Firefighters of the Federal District

Author:

Oliveira Daltro Izaias Pelozato de1ORCID,Mota Maria Augusta de Araújo1ORCID,Conceição Vanessa Barros da1ORCID,Agner Guido Fregapani1ORCID,Andrade Anderson Lúcio Souza de1ORCID,Clael Sacha1ORCID,Martins Wagner Rodrigues1ORCID

Affiliation:

1. University of Brasilia, Brazil

Abstract

Abstract Musculoskeletal symptoms (MS) can derive from injuries or dysfunctions that affect biological tissues such as muscles, bones, and nerves, among others. Military Firefighters (MF) exercise their activities exposed to varied and complex biological conditions, in which the physical demands are intense. Shift work is another remarkable characteristic of the career, which is associated with sleep disorders. Our objective was to estimate the association between the risk of chronification of MS and sleep quality in MF with MS. Our study is a Cross-Sectional Observational Study, whose sample was composed of 753 BM from the Federal District. The analysis was performed with a Sample Characterization Questionnaire, Örebro Musculoskeletal Symptoms Screening Questionnaire (OMPSQ) and the Pittsburgh Sleep Quality Index (PSQI), answered remotely. Statistical analysis used the Spearman Correlation test, p<0.05. The correlation between OMPSQ and PSQI was rated moderate, demonstrating that sleep quality has an influence on the chronification process. The average of the evaluation of Sleep Quality through the PSQI is 8.79, indicating that military personnel present a deficient quality of sleep. There was a correlation between the PSQI score and the OMPSQ of 0.542 (p<0.001), a moderate correlation between the variables. We conclude that MF show correlation between SM and sleep quality, indicating a moderate relationship between the variables, where sleep quality explains 25% of SM. We found that most MF were classified as Low Risk for chronification of SM.

Publisher

FapUNIFESP (SciELO)

Subject

Physiology (medical),Physiology

Reference24 articles.

1. A classification of chronic pain for ICD-11;Treede RD;Pain,2015

2. Modifiable risk factors predict injuries in firefighters during training academies;Butler RJ;Work,2013

3. Risk factors for work-related musculoskeletal disorders: a systematic review of recent longitudinal studies;Costa BR;Am J Ind Med,2010

4. Firefighter overexertion: a continuing problem found in an analysis of non-fatal injury among career firefighters;Le AB;Int J Environ Res Public Health,2020

5. Risk of health complaints and disabilities among Dutch firefighters;Bos J;Int Arch Occup Environ Health,2004

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