Skeletal Muscle Discomfort and Lifestyle of Brazilian Military Police Officers of Administrative and Tactical Force.
Renan Ribeiro de OliveiraJadder Bento da Costa AquinoCarlos H O ReisGeanderson S OliveiraLeonardo Araújo VieiraAlexandre F MachadoRoberta L RicaValentina BulloMarco BergaminStefano GobboDanilo Sales BocaliniPublished in: Journal of functional morphology and kinesiology (2023)
Our aim was to evaluate musculoskeletal discomfort and the lifestyle of military police officers of administrative and tactical force departments. Military police officers were distributed into two groups: administrative (Adm, n = 15) and tactical force (TF, n = 16) departments. Their lifestyle was assessed using the Fantastic Lifestyle questionnaire. Moreover, physical activity quantification was assessed using the International Physical Activity questionnaire, and musculoskeletal discomfort was quantified using the Corlett diagram. The mean total time of physical activity was 546 ± 276 min per week. No differences ( p = 0.0832) were found between the Adm (454 ± 217 min) and TF (623 ± 301 min) groups. Concerning lifestyle, in general the sample presented very good (42%) and good (42%) style classification. For this parameter, no significant differences were found, but only a tendency was discovered (x 2 : 7.437; p = 0.0592); indeed, the TF presented a better classification (63%) of very good, compared to the Adm (53%) of good. No differences ( p > 0.05) were found in musculoskeletal perception of discomfort between the right and left sides ( p > 0.05) for all police officers and between the Adm and FT groups ( p > 0.05). Military police officers showed high and moderate risk for waist circumference and waist-to-hip ratio, respectively; however, lifestyle and total time of physical activity were considered adequate without differences between military administrative and tactical force sectors.
Keyphrases
- physical activity
- body mass index
- metabolic syndrome
- posttraumatic stress disorder
- skeletal muscle
- single molecule
- weight loss
- cardiovascular disease
- machine learning
- deep learning
- body weight
- sleep quality
- cross sectional
- type diabetes
- clinical trial
- randomized controlled trial
- depressive symptoms
- patient reported
- total hip arthroplasty