EXAMINING EXERCISE SELF- EFFICACY AND FUNCTIONAL MOBILITY IN URBAN LAW ENFORCEMENT OFFICERS

PURPOSE: This study examined the relationship between exercise self-efficacy (ESES) and functional mobility (FMS) among law enforcement officers. METHODS: 55 officers participated, with exercise self-efficacy measured using the ESES scale and movement patterns assessed with the Functional Movement Screening (FMS). Correlational analysis and linear regression were used to explore the relationships between FMS and ESES, years of service (YoS) and FMS, and YoS and ESES. One-Way ANOVA analyses were used to determine differences between job groups and both FMS and ESES. RESULTS: Of the participating officers, 34 were male and 21 were female, with an average age of 38.8 ± 11 years. The average years of service among the officers was 10.8 ± 9.8 years. Job roles: 57.4% field officers, 21.3% administrative/command staff, and 21.3% civilian/non-sworn. The average FMS score was 11.9 ± 3.3 with 63.8% (n = 30) scoring under a 13. The average ESES score was 32.4 ± 6 with 74.4% (n = 35) scoring above a 30. A statistically significant positive relationship was found between ESES and FMS (r = .441, p = 0.002), with FMS explaining 19.4% of ESES variability. A significant negative relationship existed between YoS and FMS (r = -0.382, p = 0.009), explaining 14.5% of FMS variability. No significant correlation was found between YoS and ESES. One-Way ANOVA revealed significant FMS score differences among job groups, with sworn officers (FMS = 13 ± 3.5) scoring higher than civilian non-sworn( FMS = 10 ± 3.9) (p = 0.03). No significant differences were found between Admin/Command Staff and other groups. ESES scores across job groups were not significantly different. CONCLUSIONS: Higher ESES correlates with increased FMS, but FMS diminishes with years of service. The findings highlight the need for continued support in movement training and fostering physical activity confidence, especially for experienced officers. Supported by: Generative AI was used for editorial assistance in refining and condensing the content of this abstract.

Authors

Institutions

Publication Details

Journal
Medicine & Science in Sports & Exercise
Published
2025-09-16
DOI
https://doi.org/10.1249/01.mss.0001159908.23510.05
Primary Topic
Genetics and Physical Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EXAMINING EXERCISE SELF- EFFICACY AND FUNCTIONAL MOBILITY IN URBAN LAW ENFORCEMENT OFFICERS

Haresh Rochani, Richard E. Cleveland, Bridget F. Melton, Mark A. Jenkins et al.
Medicine & Science in Sports & Exercise
Genetics and Physical Performance
article

EXAMINING EXERCISE SELF- EFFICACY AND FUNCTIONAL MOBILITY IN URBAN LAW ENFORCEMENT OFFICERS

Haresh Rochani, Richard E. Cleveland, Bridget F. Melton, Mark A. Jenkins, Isaiah Mews, Julie Reams
article en

Abstract

PURPOSE: This study examined the relationship between exercise self-efficacy (ESES) and functional mobility (FMS) among law enforcement officers. METHODS: 55 officers participated, with exercise self-efficacy measured using the ESES scale and movement patterns assessed with the Functional Movement Screening (FMS). Correlational analysis and linear regression were used to explore the relationships between FMS and ESES, years of service (YoS) and FMS, and YoS and ESES. One-Way ANOVA analyses were used to determine differences between job groups and both FMS and ESES. RESULTS: Of the participating officers, 34 were male and 21 were female, with an average age of 38.8 ± 11 years. The average years of service among the officers was 10.8 ± 9.8 years. Job roles: 57.4% field officers, 21.3% administrative/command staff, and 21.3% civilian/non-sworn. The average FMS score was 11.9 ± 3.3 with 63.8% (n = 30) scoring under a 13. The average ESES score was 32.4 ± 6 with 74.4% (n = 35) scoring above a 30. A statistically significant positive relationship was found between ESES and FMS (r = .441, p = 0.002), with FMS explaining 19.4% of ESES variability. A significant negative relationship existed between YoS and FMS (r = -0.382, p = 0.009), explaining 14.5% of FMS variability. No significant correlation was found between YoS and ESES. One-Way ANOVA revealed significant FMS score differences among job groups, with sworn officers (FMS = 13 ± 3.5) scoring higher than civilian non-sworn( FMS = 10 ± 3.9) (p = 0.03). No significant differences were found between Admin/Command Staff and other groups. ESES scores across job groups were not significantly different. CONCLUSIONS: Higher ESES correlates with increased FMS, but FMS diminishes with years of service. The findings highlight the need for continued support in movement training and fostering physical activity confidence, especially for experienced officers. Supported by: Generative AI was used for editorial assistance in refining and condensing the content of this abstract.

Medicine & Science in Sports & ExerciseVol. 57(10S)
Georgia Southern University (US)
Openalex Percentile: Top 73%
Genetics and Physical 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.