20-m Multistage Fitness Test Normative Percentile Rank Data for Law Enforcement Recruits

The 20-m multistage fitness test (20MSFT) has been used to assess the aerobic fitness of law enforcement candidates prior to academy, and recruits during academy. There is limited research that has published normative data for the 20MSFT as performed by recruits. This study provided normative percentile rank data for 20MSFT shuttles and estimated maximal aerobic capacity (V̇O2max) for law enforcement recruits. Retrospective analysis on 1040 recruits (850 men, 190 women) from one law enforcement agency was conducted. Recruits completed the 20MSFT as part of a battery of fitness tests prior to their training academy. The number of completed shuttles was recorded and used to calculate 20MSFT percentile rankings for all recruits, men, and women, in the following bands: 90-100, 80-89, 70-79, 60-69, 50-59, 40-49, 30-39, 20-29, 10-19, and 0-9. Once the 20MSFT shuttle percentile ranks were developed, estimated V̇O2max for these rankings was derived. All recruits combined, men, and women, had a 20MSFT mean of 52.38±18.06, 53.70±18.23, and 46.46±16.05 shuttles, respectively. The data indicated the male recruits tended to perform better than female recruits, although 36% of the women were in the top half of all recruits in completed 20MSFT shuttles. Nevertheless, female recruits will likely need specific aerobic conditioning prior to and during academy. The V̇O2max data suggested limitations in recruit aerobic fitness when compared to population norms. Familiarity with the 20MSFT and high-intensity running exposure could have influenced the V̇O2max results. The provision of normative 20MSFT data provide recruit benchmarking and could inform fitness program design for staff.

Authors

Publication Details

Journal
sportlogia
Published
2025-04-23
DOI
https://doi.org/10.63356/spl.2025.002
Primary Topic
Occupational Health and Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

20-m Multistage Fitness Test Normative Percentile Rank Data for Law Enforcement Recruits

Robert G. Lockie
1 links
sportlogia
Occupational Health and Performance
article

20-m Multistage Fitness Test Normative Percentile Rank Data for Law Enforcement Recruits

Robert G. Lockie
article en

Abstract

The 20-m multistage fitness test (20MSFT) has been used to assess the aerobic fitness of law enforcement candidates prior to academy, and recruits during academy. There is limited research that has published normative data for the 20MSFT as performed by recruits. This study provided normative percentile rank data for 20MSFT shuttles and estimated maximal aerobic capacity (V̇O2max) for law enforcement recruits. Retrospective analysis on 1040 recruits (850 men, 190 women) from one law enforcement agency was conducted. Recruits completed the 20MSFT as part of a battery of fitness tests prior to their training academy. The number of completed shuttles was recorded and used to calculate 20MSFT percentile rankings for all recruits, men, and women, in the following bands: 90-100, 80-89, 70-79, 60-69, 50-59, 40-49, 30-39, 20-29, 10-19, and 0-9. Once the 20MSFT shuttle percentile ranks were developed, estimated V̇O2max for these rankings was derived. All recruits combined, men, and women, had a 20MSFT mean of 52.38±18.06, 53.70±18.23, and 46.46±16.05 shuttles, respectively. The data indicated the male recruits tended to perform better than female recruits, although 36% of the women were in the top half of all recruits in completed 20MSFT shuttles. Nevertheless, female recruits will likely need specific aerobic conditioning prior to and during academy. The V̇O2max data suggested limitations in recruit aerobic fitness when compared to population norms. Familiarity with the 20MSFT and high-intensity running exposure could have influenced the V̇O2max results. The provision of normative 20MSFT data provide recruit benchmarking and could inform fitness program design for staff.

sportlogia
Openalex Percentile: Top 89%
Occupational Health and Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.