| Literature DB >> 35309374 |
Myles Calder Murphy1, Holly-Anne George2, Muhammad Naqi2, Patrick J Owen3, Paola Chivers2,4, Nicolas H Hart2,5.
Abstract
Objectives: Report the injury epidemiology of law enforcement and firefighter recruits. Design: A systematic epidemiological review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines was completed. Data sources: Five online databases were searched from database inception to 5 May 2021. Eligibility criteria for selecting studies: Prospective and retrospective studies that reported data on musculoskeletal injuries sustained by law enforcement or firefighter recruits were included. We reported on all components of injury where data were available. All injury incidence rates were calculated as per 1000 training days (Poisson 95% CI) to allow comparisons between studies. Study quality was assessed using the Joanna Briggs Institute Quality Assessment Checklist for Prevalence Studies.Entities:
Keywords: epidemiology; injuries; public health
Year: 2022 PMID: 35309374 PMCID: PMC8889355 DOI: 10.1136/bmjsem-2021-001289
Source DB: PubMed Journal: BMJ Open Sport Exerc Med ISSN: 2055-7647
Figure 1PRISMA flow chart. PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses
Study information for law enforcement recruits
| Study | Country | Study design | Funding source | Sampling time frame | Injury reporting (prospective/ retrospective) | Injury definition (all, medical attention, time-loss or required withdrawal from recruit training programme) | Injury nature provided (eg, fracture) | Injury region provided (eg, knee) |
| Constantini | Israel | Prospective intervention with historical control | Private | 1996–2005 (control) | Prospective | Medical attention | Yes | Yes |
| Knapik | USA | Prospective cohort | Internally—Federal Bureau of Investigation and US Army Public Health Command | 2009–2010 | Prospective | Medical attention | Yes | No |
| Lockie | USA | Retrospective cohort | No funding | Not reported | Prospective | Withdrawal from programme | No | No |
| Orr | Australia | Retrospective cohort | Not reported | 2013–2014 | Prospective | Medical attention | No | No |
| Orr | Australia | Randomised controlled trial | Not reported | Not reported | Prospective | Medical attention | No | Yes |
| Orr | Australia | Retrospective cohort | No funding | 2013 | Prospective | Medical attention | No | No |
| Tomes | New Zealand | Retrospective cohort | Not reported | Not reported | Prospective | Medical attention | No | Yes |
| Wang | China | Retrospective cohort | Not reported | 1999–2000 | Prospective | Medical Attention | No | No |
Demographic information for law enforcement recruits
| Study | Recruit type | Duration of recruit training (weeks) | Total sample size (n) | Total injured participants (n) | Total injuries (n) | Total sample mean (SD) age (years) | Total sample mean (SD) height (cm) | Total sample mean (SD) weight (kg) | Total sample mean (SD) BMI (m/kg2) | Total sample gender (% female) |
| Constantini | Border Police | 16 | 1423 | 82 | 215 | Not reported | Not reported | Not reported | Not reported | 100 |
| Knapik | Federal Bureau of Investigation | 21 | 531 | Not reported | 256 | Not reported | Not reported | Not reported | Not reported | 20 |
| Lockie | Police | Not reported | 401 | 18 | Not reported | 27.3 (5.92) | 174 (12) | 80.27 (14.38) | Not reported | 17 |
| Orr | Police | 12 | 1021 | 158 | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported |
| Orr | Police | 10 | 287 | Not reported | 24 | Not reported | Not reported | Not reported | Not reported | Not reported |
| Orr | Police | 12 | 169 | 43 | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported |
| Tomes | Police | 16 | 243 | Not reported | 68 | Not reported | Not reported | Not reported | Not reported | Not reported |
| Wang | Police | Not reported | 805 | 111 | 130 | 18.7 (1.02) | 170.36 (5.31) | 62.5 (8.8) | 21.52 (2.68) | 0 |
BMI, body mass index.
Figure 2Overall medical attention injury incidence rates.
Quality of included studies
| Study | 1. Was the sample frame appropriate to address the target population? | 2. Were study participants sampled in an appropriate way? | 3. Was the sample size adequate? | 4. Were the study subjects and the setting described in detail? | 5. Was the data analysis conducted with sufficient coverage of the identified sample? | 6. Were valid methods used for the identification of the condition? | 7. Was the condition measured in a standard, reliable way for all participants? | 8. Was there appropriate statistical analysis? | 9. Was the response rate adequate, and if not, was the low response rate managed appropriately? | Overall judgement |
| Constantini | Low | High | High | Low | High | High | High | Not applicable | Not applicable | Low |
| Knapik | High | High | Unclear | Low | High | High | High | Not applicable | Not applicable | Low |
| Lockie | High | High | Low | Low | High | Unclear | High | Not applicable | Not applicable | Low |
| Orr | High | High | Low | Low | Unclear | High | High | Not applicable | Not applicable | Low |
| Orr | High | High | High | Low | Unclear | High | High | Not applicable | Not applicable | Low |
| Orr | High | High | Low | Low | Unclear | High | High | Not applicable | Not applicable | Low |
| Tomes | High | High | Unclear | Low | High | High | High | Not applicable | Not applicable | Low |
| Wang | Low | High | High | Low | High | High | High | Not applicable | Not applicable | Low |