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Functional movement screen did not predict musculoskeletal injury among emergency medical services professionals.
Supples, Michael W; Brichler, Kevin P; Glober, Nancy K; Lardaro, Thomas A; O'Donnell, Daniel P.
Afiliação
  • Supples MW; Department of Emergency Medicine, Division of Emergency Medical Services, Indiana University School of Medicine, Indianapolis, IN, USA.
  • Brichler KP; Rehabilitation Services, Eskenazi Health, Indianapolis, IN, USA.
  • Glober NK; Department of Emergency Medicine, Division of Emergency Medical Services, Indiana University School of Medicine, Indianapolis, IN, USA.
  • Lardaro TA; Department of Emergency Medicine, Division of Emergency Medical Services, Indiana University School of Medicine, Indianapolis, IN, USA.
  • O'Donnell DP; Department of Emergency Medicine, Division of Emergency Medical Services, Indiana University School of Medicine, Indianapolis, IN, USA.
Work ; 71(3): 795-802, 2022.
Article em En | MEDLINE | ID: mdl-35253695
ABSTRACT

BACKGROUND:

Emergency Medical Services (EMS) professionals frequently experience job-related injuries, most commonly overexertion or movement injuries. Data on injury reduction in EMS professionals is limited. The Functional Movement Screen (FMS) is a movement analysis tool suggested to predict musculoskeletal injury, but it has not previously been evaluated for EMS professionals.

OBJECTIVE:

To evaluate the effectiveness of the FMS to predict musculoskeletal injury among EMS professionals.

METHODS:

In October 2014, EMS professionals employed in an urban third-service EMS agency volunteered to participate in FMS administered by certified screeners. Age, sex, height and weight were recorded. After screening, participants were instructed on exercises to correct movement deficiencies. We reviewed recorded injuries from 2013 to 2016. We performed descriptive statistics. With logistic regression modeling, we described factors that predicted musculoskeletal injury. We generated a receiver operating curve (ROC) for FMS prediction of musculoskeletal injury.

RESULTS:

147 of 240 full-time employees participated in the FMS. Participants' mean age was 33.7 years (SD = 9.6) and the majority (65%) were male. The median initial FMS score was 14 (IQR 11-16). Area under the ROC curve was 0.603 (p = 0.213) for FMS ability to predict any musculoskeletal injury within two years. Female sex was associated higher odds of injury (OR 3.98, 95% CI 1.61-9.80). Increasing age, body mass index (BMI) category, and FMS score≤14 did not predict musculoskeletal injury.

CONCLUSION:

The FMS did not predict musculoskeletal injury among EMS professionals.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Traumatismos em Atletas / Serviços Médicos de Emergência Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male Idioma: En Revista: Work Assunto da revista: MEDICINA OCUPACIONAL Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Traumatismos em Atletas / Serviços Médicos de Emergência Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male Idioma: En Revista: Work Assunto da revista: MEDICINA OCUPACIONAL Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos