Evidence map›Paper›PMID 31547573›Full record

ArticleInternational journal of environmental research and public health2019

Associations between Specialist Tactical Response Police Unit Selection Success and Urban Rush, along with 2.4 km and 10 km Loaded Carriage Events.

Rhiannon Thomas, Ben Schram, Shane Irving, Jeremy Robinson, Robin Orr

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Special Weapons and Tactics Occupational-Specific Physical Assessments and Fitness Measures.International journal of environmental research and public health · 2020
    Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Rhiannon ThomasPhysiotherapy Department, Faculty of Health Sciences and Medicine, Bond University, Gold Coast 4226, Australia. rhiannon.thomas@student.bond.edu.au.
Ben SchramPhysiotherapy Department, Faculty of Health Sciences and Medicine, Bond University, Gold Coast 4226, Australia. bschram@bond.edu.au.ORCID 0000-0002-1865-0488
Shane IrvingTactical Research Unit, Bond University, Gold Coast 4226, Australia. sirving@bond.edu.au.
Jeremy RobinsonAustralian Federal Police, Canberra 2601, Australia. Jeremy.Robinson@afp.gov.au.
Robin OrrPhysiotherapy Department, Faculty of Health Sciences and Medicine, Bond University, Gold Coast 4226, Australia. rorr@bond.edu.au.
Bond University · AUAustralian Federal Police · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Officers serving in specialist tactical response police teams are highly trained personnel who are required to carry heavy loads and perform explosive tasks. The aim of this study was to determine whether performance on a loaded explosive occupational task (urban rush) or distance-based load carriage tasks (2.4 km or 10 km) were indicative of officer success on a specialist selection course (SSC). Eighteen male police officers (mean age = 32.11 ± 5.04 years) participated in the SSC over five consecutive days. Data were categorized into Group 1 (successful applicants, n = 11) and Group 2 (unsuccessful applicants, n = 7). Independent sample

Indexed as

PoliceSpecializationAdultBody HeightBody WeightHumansMaleTask Performance and AnalysisfitnesspoliceselectionSWATtactical

Identifiers

PMID31547573
PMCPMC6801417
OpenAlexW2973860884

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.