Jay Dawes

Dr. Jay Dawes


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2017 in Annals of Occupational and Environmental Medicine
Verified
Journal Article
Open access
PDF file
JDJay Dawes
Jay Dawes
Robin OrrRobin Orr
Robin Orr
RFRichard R. Flores
Richard R. Flores
Robert LockieRobert Lockie
Robert Lockie
CKCharlie Kornhauser
Charlie Kornhauser
RHRyan Holmes
Ryan Holmes
Dawes JJ, et al. Ann Occup Environ Med. 2017 Feb;29(1):16. https://doi.org/10.1186/s40557-017-0173-0

Robert LockieRobert Lockie
Robert Lockie
JDJay Dawes
Jay Dawes
KBKatherine Balfany
Katherine Balfany
CGCiara E. Gonzales
Ciara E. Gonzales
MBMaria M. Beitzel
Maria M. Beitzel
Robin OrrRobin Orr
Robin Orr
This study determined relationships between an agency-specific fitness test battery (PT500), and a work sample test battery (WSTB) in law enforcement recruits. Retrospective analysis on 219 males and 34 females from one agency was conducted. The PT500 comprised: push-ups, sit-ups, and mountain climbers in 120 s; pull-ups; and 201 m and 2.4 km runs. The WSTB comprised: 99 yard (90.53 m) obstacle course (99OC); body drag (BD) with a 165 pound (75 kg) dummy; 6 foot (1.83 m) chain link fence (CLF) and solid wall (SW) climb; and 500 yard (457.2 m) run (500R). Partial correlations, controlling for sex, calculated PT500 and WSTB relationships (p < 0.05). Stepwise regression determined whether fitness predicted WSTB performance. The 500R related to all PT500 assessments (r range = −0.127–0.574), 99OC related to all bar push-ups and mountain climbers, and BD related to none. The CLF related to sit-ups, pull-ups, and 2.4 km run; SW related to mountain climbers, pull-ups, and 2.4 km run (r range = −0.127–−0.315). Push-ups, pull-ups, and 2.4 km run were involved in predictive relationships for 99OC, CLF, SW, and 500R (r2 range = 0.217–0.500). To perform better in the WSTB and job-specific tasks, developing upper-body strength and aerobic fitness may be beneficial.

16 February 2016 in Sports
Verified
Journal Article
Open access
PDF file
IMIsaiah T. McFarland
Isaiah T. McFarland
JDJay Dawes
Jay Dawes
CECraig L. Elder
Craig L. Elder
RLRobert G. Lockie
Robert G. Lockie
In collegiate level soccer acceleration, maximal velocity and agility are essential for successful performance. Power production is believed to provide a foundation for these speed qualities. The purpose of this study was to determine the relationship of change of direction speed, acceleration, and maximal velocity to both the counter movement jump (CMJ) and squat jump (SJ) in collegiate soccer players. Thirty-six NCAA Division II soccer players (20 males and 16 females) were tested for speed over 10 and 30 m, CODS (T-test, pro agility) and power (CMJ, SJ). Independent t-tests (p ≤ 0.05) were used to derive gender differences, and Pearson’s correlations (p ≤ 0.05) calculated relationships between the different power and speed tests. Female subjects displayed moderate-to-strong correlations between 30 m, pro agility and T-test with the CMJ (r = −0.502 to −0.751), and SJ (r = −0.502 to −0.681). Moderate correlations between 10 and 30 m with CMJ (r = −0.476 and −0.570) and SJ (r = −0.443 and −0.553, respectively) were observed for males. Moderate to strong relationships exist between speed and power attributes in both male and female collegiate soccer players, especially between CMJ and maximal velocity. Improving stretch shortening cycle (SSC) utilization may contribute to enhanced sport-specific speed.

1 October 2017 in Journal of Strength & Conditioning Research
Verified
Journal Article
Closed access
JDJay Dawes
Jay Dawes
KLKeston Lindsay
Keston Lindsay
JBJennifer Bero
Jennifer Bero
CECraig Elder
Craig Elder
CKCharlie Kornhauser
Charlie Kornhauser
RHRyan Holmes
Ryan Holmes
Dawes, JJ, Lindsay, K, Bero J, Elder C, Kornhauser C, and Holmes, R. Physical fitness characteristics of high vs. low performers on an occupationally specific physical agility test for patrol officers. J Strength Cond Res 31(10): 2808–2815, 2017—Law enforcement agencies frequently use physical ability tests (PATs) as a method of evaluating occupational performance. These tests are designed to replicate essential occupational tasks frequently performed by officers in the field. The purpose of this study was to determine whether significant relationships exist between the selected physical fitness tests and PAT performance and to determine which of these tests best differentiates between high and low PAT performers. Full-time highway patrol officers (n = 495) submitted self-reported anthropometric data (mean age = 39.6 + 7.7 years) along with fitness assessments taken from their organization's yearly fitness tests. All subjects completed a series of field-based fitness tests, as well as an occupationally specific PAT. Results of the study indicated that the selected tests accounted for almost 69% of the total variance on PAT performance. Overall, the 20-m meter multistage fitness test, 1-minute sit-up performance, and vertical jump height best predicted PAT performance. Furthermore, it was revealed that high performers were significantly more fit in all measures of dynamic fitness when compared with lower performers. No significant differences were discovered in static strength between groups. Strength and conditioning specialists should focus on developing aerobic capacity, trunk muscular endurance, and whole-body anaerobic power to improve PAT and occupational performance.

1 February 2019 in Journal of Strength & Conditioning Research
Verified
Journal Article
Closed access
Robert LockieRobert Lockie
Robert Lockie
JDJay Dawes
Jay Dawes
CKCharles L. Kornhauser
Charles L. Kornhauser
RHRyan J. Holmes
Ryan J. Holmes
Lockie, RG, Dawes, JJ, Kornhauser, CL, and Holmes, RJ. Cross-sectional and retrospective cohort analysis of the effects of age on flexibility, strength endurance, lower-body power, and aerobic fitness in law enforcement officers. J Strength Cond Res 33(2): 451–458, 2019—There can be a great age range in cohorts of law enforcement officers. As the tasks required of officers generally do not change with advancing age, it is important to understand how physical performance in tests that assess job-specific characteristics may be altered. Retrospective analysis of performance test data of 383 officers (362 men and 21 women) was conducted. The tests included the following: sit-and-reach to determine hamstring and lower back flexibility; maximal push-up and sit-up repetitions in 60 seconds to measure muscle endurance; vertical jump (VJ) to assess lower-body power; and 2.4-km run to ascertain aerobic capacity. Data were stratified by age into 20–29, 30–39, 40–49, and 50–59 year groups, and analyzed by sex. A 1-way analysis of variance with the Bonferroni post hoc test was used to calculate the differences between the groups. Considering the male subjects, the 40–49 and 50–59 year groups performed poorer in the VJ, sit-up test, and 2.4-km run compared with the 20–29 year group (p ≤ 0.001–0.045). For the female subjects, the 20–29 year group was superior to the 30–39 (p = 0.013) and 40–49 (p = 0.025) year groups in the push-up test. To ensure that an older officer can successfully complete occupation-specific tasks, lower-body power, abdominal strength, and aerobic training should be completed. Female officers should also attempt to maintain relative upper-body strength. Practitioners must attempt to design training programs that fit within the context of the occupational demands, and potentially using a nontraditional training design as law enforcement officers may not have the time to follow a traditional periodization model.

Robert LockieRobert Lockie
Robert Lockie
KBKatherine Balfany
Katherine Balfany
ABAshley M. Bloodgood
Ashley M. Bloodgood
MMMatthew Moreno
Matthew Moreno
KCKarly A. Cesario
Karly A. Cesario
Robin OrrRobin Orr
Robin Orr
This study analyzed the effects physical fitness may have on reasons for academy separation in law enforcement recruits. A retrospective analysis was conducted on 401 recruits; 330 recruits graduated (GRAD), and 71 recruits separated at various times during academy. Twenty-eight recruits separated for personal reasons (SEPPR); 18 due to physical training failures (i.e., poor fitness) or injury (SEPFI); and 25 due to academic or scenario failures (SEPAS). Fitness testing occurred prior to academy, and included: Push-ups and sit-ups in 60s; a 75-yard pursuit run (75PR); vertical jump; medicine ball throw; and multistage fitness test (MSFT). A one-way ANOVA with Bonferroni post hoc compared between-group fitness test performance. A multiple stepwise regression calculated whether recruit characteristics or fitness could predict separation. The GRAD group was younger than the SEPAS group (p < 0.01), faster in the 75PR than the SEPFI group (p = 0.02), and completed more MSFT shuttles than the SEPPR and SEPFI groups (p = 0.01). Age predicted GRAD and SEPAS group inclusion; MSFT predicted GRAD, SEPPR, and SEPFI group inclusion. Recruits who had superior high-intensity running capacity (75PR) and aerobic fitness (MSFT) should have a better chance of completing academy. However, this could be influenced by training practices adopted during academy.