Back to Authors

Fields, Jennifer B.

https://orcid.org/0000-0001-6830-1692

Mayo Clinic

University of Connecticut

Citations 30

Prevalence Of Low Energy Availability In A Collegiate Men's Gymnastics Team
Kuhlman, Nicholas M., Wilcox, Luke, Jones, Margaret T. , Magee, Meghan K., Fields, Jennifer B. , Jagim, Andrew R.

Medicine & Science in Sports & Exercise | September 16, 2024 | Volume: 56 | Issue: 10S | Pages: 629-629

10.1249/01.mss.0001057932.12836.9b Get It

Fat-Free Mass Index in Sport: Normative Profiles and Applications for Collegiate Athletes
Jones, Margaret T. , Fields, Jennifer B. , Magee, Meghan K., Luedke, Joel, Jagim, Andrew R. , Harty, Patrick S. , Smith‐Ryan, Abbie E. , Kerksick, Chad M.

Journal of Strength & Conditioning Research | July 29, 2024 | Volume: 38 | Issue: 9 | Pages: 1687-1693

10.1519/jsc.0000000000004864 Get It

Abstract Jagim, AR, Harty, PS, Jones, MT, Fields, JB, Magee, M, Smith-Ryan, AE, Luedke, J, and Kerksick, CM. Fat-free mass index in sport: normative profiles and applications for collegiate athletes. J Strength Cond Res 38(9): 1687–1693, 2024—Recent concerns have been raised regarding the ethical considerations of conducting body composition assessments in sports. Specific apprehensions pertain to the inappropriate use of percent body fat and the limited application of the results to performance and recovery. Fat-free mass index (FFMI), a height-adjusted assessment of FFM, can serve as an alternative body composition metric to focus on in sports. Fat-free mass index provides valuable context regarding an optimal amount of FFM, accounting for skeletal frame and height while helping to qualify an athlete's FFM as low, moderate, or high. This review posits that shifting the focus of body composition measures to FFM can support more ideal targets across athletic seasons, careers, and the return to play after injury. In addition, a FFM focus may help change the perception of body composition assessment and how athletes perceive their current body because of the increased focus on the FFM compartment and the goal of maximizing tissue accrual, rather than focusing on fat loss. Fat-free mass index is calculated by dividing FFM (kg) by height (m 2 ) and can serve to normalize FFM, relative to height, and enable comparisons across athletes, sport types, and sex. Previous research has identified differences in FFMI across sex and among sport categories. Still, there is a need for more published data to develop optimal ranges for FFMI across sex, sports, and positions. As more data become available, FFMI has the potential to provide normative guidelines for optimal FFM development, performance, and injury risk reduction. The purpose of the current review was to summarize FFMI values across collegiate sport categories and competitive status to provide normative profiles, according to sex and sport type.
Validation of Bioelectrical Impedance Devices for the Determination of Body Fat Percentage in Firefighters
Luedke, Joel, Erickson, Jacob L. , Fields, Jennifer B. , Jones, Margaret T. , Jagim, Andrew R.

Journal of Strength & Conditioning Research | July 29, 2024 | Volume: 38 | Issue: 8 | Pages: e448-e453

10.1519/jsc.0000000000004809 Get It

Abstract Jagim, AR, Luedke, J, Erickson, JL, Fields, JB, and Jones, MT. Validation of bioelectrical impedance devices for the determination of body fat percentage in firefighters. J Strength Cond Res 38(8): e448–e453, 2024—To cross-validate bioelectrical impedance devices for the determination of body fat percentage (BF%) in firefighters. Twenty-eight structural firefighters were evaluated (female, n = 2; male, n = 26 [mean ± SD ] age: 38.2 ± 8.3 years; height: 180.2 ± 7.5 cm; body mass: 86.7 ± 20.8 kg; body mass index: 25.8 ± 7.8 kg·m −2 ) using multifrequency bioelectrical impedance analysis (MFBIA) hand-to-foot device, and single-frequency BIA foot scale (F2FBIA), and a single-frequency handheld BIA device (HHBIA). Dual X-ray absorptiometry served as the criterion. Validity metrics were examined to establish each method's performance. Body fat % values produced by MFBIA ( r = 0.913), F2FBIA ( r = 0.695), and HHBIA ( r = 0.876) were strongly associated ( p < 0.001) with criterion BF% measures. However, MFBIA, F2FBIA, and HHBIA all significantly ( p < 0.001) underestimated BF% when compared with the criterion measure. Constant error ranged between 4.0 and 5.5% across all BIA devices. Despite strong associations between the BIA devices included in the current study and the criterion measure, all BIA devices underestimated BF%, which resulted in an overestimation of fat-free mass. In addition, proportional bias was observed in which BF% was overestimated at lower values and underestimated at higher values.
Seasonal Changes in Match Demands and Workload Distribution in Collegiate Soccer Across Two Seasons
Floersch, Sean, Vidden, Chad, Askow, Andrew T. , Jones, Margaret T. , Fields, Jennifer B. , Askow, Andrew T , Jagim, Andrew R.

Journal of Strength & Conditioning Research | July 29, 2024 | Volume: 38 | Issue: 8 | Pages: 1440-1446

10.1519/jsc.0000000000004802 Get It

Abstract Floersch, S, Vidden, C, Askow, AT, Jones, MT, Fields, JB, and Jagim, AR. Seasonal changes in match demands and workload distribution in collegiate soccer across two seasons. J Strength Cond Res 38(8): 1440–1446, 2024—The purpose of this study was to examine seasonal changes in match demands in a collegiate women's soccer team. Forty-eight NCAA Division III women soccer athletes (age: 19.5 ± 1.2 years; height: 1.67 ± 0.05 m; body mass: 64.8 ± 7.4 kg; fat-free mass: 50.0 ± 4.5 kg; body fat %: 22.6 ± 6.0) were equipped with wearable global positioning systems with inertial sensors and heart rate (HR) monitors during matches throughout the 2019 ( n = 22) and 2021 seasons ( n = 26). Players were classified by position: flank player (FP; n = 28), center midfielder (CM; n = 11), and center back fielder (CB; n = 9) and as starters (S, n = 17) or reserves (R, n = 31). Variables included HR, training load, total distance, high-speed distance, distance per minute, and weighted distance. Differences in match and practice session demands were analyzed using linear mixed-effects models with season (2 levels; 2019 and 2021) as a fixed factor, with alpha set to p = 0.05. Data across all matches and training sessions were collapsed and presented as mean ± SD for descriptive purposes and then grouped by session type (i.e., match or training) and position. Athletes traveled more distance at high speeds during match play in the 2021 season compared with 2019 (mean difference, 95% confidence intervals [CI]) (200, 95% CI: 104, 304 km; p < 0.05) but had a lower training load in 2021 compared with 2019 (−50, 95% CI: −63, −36; p < 0.05) during match play. For training sessions, mean HR (4, 95% CI: 2, 5 bpm), total distance (0.5, 95% CI: 0.4, 0.7), distance per minute (5.6, 95% CI: 4.5, 6.7 m·min −1 ), high-speed distance (43, 95% CI: 43, 18, 67 m), high accelerations (8.6, 95% CI: 5.4, 11.8 n ), and high accelerations per minute (0.1, 95% CI: 0.1, 0.1 n ·min −1 ) were all higher in 2021 compared with 2019 ( p < 0.05). As a team, several differences in measures of external workload were found between seasons in both session types (training and matches). Variations in positional demands of match play appear to fluctuate by year.
Examining Changes in Shoulder Strength, Lower Body Power, and Body Composition among Collegiate Baseball Players after Completion of a Summer Baseball League Season
Merfeld, Brandon , Rowley, Matthew , Luedke, Joel, Erickson, Jacob L. , Jones, Margaret T. , Fields, Jennifer B. , Szymanski, Elijah, Jagim, Andrew R. , Jones, Margaret T , Jagim, Andrew R , Rowley, Matthew, Almonroeder, Thomas Gus

Journal of Functional Morphology and Kinesiology | June 3, 2024 | Volume: 9 | Issue: 2 | Pages: 98

10.3390/jfmk9020098 Get It

The strength of the shoulder musculature involved with internal rotation and arm extension plays an important role in the overhead throwing motion for baseball athletes, both for throwing-related performance and injury risk. The maintenance of shoulder strength is a high priority for baseball athletes throughout a season; however, little is known in regards to the expected changes in strength throughout a season. To examine pre-post changes in shoulder strength, lower body power, and body composition among collegiate baseball players after the completion of a summer baseball league season. Amateur baseball players (n = 12; age: 20.9 ± 1.0 years.; height: 181.6 ± 5.6 cm; body mass: 86.4 ± 11.1 kg; BMI: 26.0 ± 2.6 kg/m2) participated in the current study. Pre- and post-competitive season, the participants completed shoulder strength assessments and body composition and countermovement vertical jump (CMJ) tests. An upper-body isometric test (athletic shoulder [ASH] test) was used to evaluate shoulder strength for each arm. Each subject completed maximal isometric contractions for both the throwing and non-throwing arms at four separate angles of abduction (180°, ‘I’; 135°, ‘Y’; 90°, ‘T’; and −180°, ‘A’) while lying in a prone position. For shoulder strength, the primary dependent variable of interest was a composite measure that represented the average of the forces produced across all four positions of the ASH test (I, Y, T, A). For the ASH test composite measure, there was a trend toward a significant arm-by-time interaction effect (p = 0.08), as shoulder strength decreased by 9.03% for the throwing arm (ES = 0.72; 95% CI = [−0.27, −0.01]), compared to only 2.03% for the non-throwing arm (ES = 0.15; 95% CI = [−0.16, 0.09]), over the course of the season. The main effects of time (p = 0.16) and arm (p = 0.58) were not significant for the ASH test composite measure. There was no relationship between lower body power and throwing arm strength at baseline (r = 0.20, p = 0.56), and only a non-significant weak relationship at post-test (r = 0.28, p = 0.41). Throughout a season, baseball players may experience reductions in shoulder strength of the throwing arm with minimal changes in shoulder strength in the non-throwing arm.
Collegiate women’s wrestling body fat percentage and minimum wrestling weight values: time for revisiting minimal body fat percent?
Oppliger, Robert A., Horswill, Craig A. , Dobbs, Ward C. , Fields, Jennifer B. , Cushard, Cliff, Rademacher, Paul , Jones, Margaret T. , Jagim, Andrew R , Tinsley, Grant M , Jagim, Andrew R.

Journal of the International Society of Sports Nutrition | January 16, 2024 | Volume: 21 | Issue: 1 | Pages: No page available

10.1080/15502783.2024.2304561 Get It

Analysis of In-Season External Load and Sport Performance in Women’s Collegiate Basketball
Brown, Faith S. A. , Fields, Jennifer B. , Baker, Robert E., Jones, Margaret T. , Jones, Margaret T , Jagim, Andrew R.

Journal of Strength & Conditioning Research | October 11, 2023 | Volume: 38 | Issue: 2 | Pages: 318-324

10.1519/jsc.0000000000004636 Get It

Abstract Brown, FSA, Fields, JB, Jagim, AR, Baker, RE, and Jones, MT. Analysis of in-season external load and sport performance in women’s collegiate basketball. J Strength Cond Res 38(2): 318–324, 2024—Quantifying and monitoring athlete workload throughout a competitive season is a means to manage player readiness. Therefore, the purpose of the current study was to quantify practice and game external loads and to assess the relationship between such loads and basketball-specific performance metrics across a women's collegiate basketball season. Thirteen National Collegiate Athletic Association Division I women basketball athletes (age 20.08 ± 1.55 years) wore Global Positioning Systems sensors equipped with triaxial accelerometers for 29 games and 66 practices during the 2019–20 season. A multivariate analysis of variance was used to assess differences in external load between high- and low-minute players and across quarters within games ( p < 0.05). Bivariate Pearson correlation coefficients were run to determine relationships between external loads and metrics of basketball performance. Findings indicated that high- and low-minute athletes experienced different loads during games and practices ( p < 0.001). External loads differed by quarter, such that player load (PL) was highest in Q4 ( p = 0.007), PL·min −1 was highest in Q1 and lowest in Q4 ( p < 0.001), and explosive ratio (i.e., ratio of PL and explosive efforts) was lowest in Q3 ( p = 0.45). Relationships existed between PL·min −1 and field goals ( r = 0.41; p = 0.02) and between the explosive ratio and free throws ( r = 0.377 p = 0.04). These results can be used to inform design of training sessions with the intent to prepare athletes for the demands of the competitive season. It is recommended that future research continue to explore the relationship of sport-specific performance metrics and athlete external load.
Fat-Free Mass Index in a Large Sample of National Collegiate Athletic Association Men and Women Athletes From a Variety of Sports
Magee, Meghan K., Fields, Jennifer B. , Jones, Margaret T. , Jones, Margaret T , Jagim, Andrew R.

Journal of Strength & Conditioning Research | October 10, 2023 | Volume: 38 | Issue: 2 | Pages: 311-317

10.1519/jsc.0000000000004621 Get It

Abstract Magee, MK, Fields, JB, Jagim, AR, and Jones, MT. Fat-free mass index in a large sample of National Collegiate Athletic Association men and women athletes from a variety of sports. J Strength Cond Res 38(2): 311–317, 2024—Fat-free mass index (FFMI) can be used to categorize fat-free mass (FFM) relative to height. Normative values have been established in a variety of sports, as has suggested lower and upper thresholds of FFMI. However, FFMI has not been reported in a large sample of athletes, representing both sexes and multiple sport types. The purpose of this study was to evaluate differences in FFMI and establish normative values across a large sample of collegiate sports. A total of 1,961 athletes (men: n = 596, 10 sports; women: n = 1,365, 8 sports) participated. Height and mass were measured using a stadiometer and calibrated digital scale, respectively. Fat-free mass was assessed with air displacement plethysmography and used to calculate FFMI. Kruskal-Wallis test and one-way analysis of variance evaluated differences in FFMI in women's and men's sports, respectively. When collapsed across sport type and stratified by sex, men had a higher FFMI (21.5 ± 1.9 kg·m −2 vs. 17.9 ± 1.8 kg·m −2 ; p < 0.001). Differences occurred in FFMI across sport. In women, basketball athletes had the highest FFMI (18.9 kg·m −2 ) and highest 99th percentile for FFMI, whereas rowers had the lowest (16.9 kg·m −2 ). In men, throwers had the highest FFMI (25.7 kg·m −2 ) and highest 99th percentile, whereas volleyball athletes had the lowest (19.9 kg·m −2 ). Differences in FFMI may be attributable to dietary habits and physiological demands of respective sports. These results can provide information relative to differences in FFMI values across sports. In addition, sport-specific normative values can be used as benchmarks and targets for training, nutrition, and goal setting.
Nutrition Knowledge Of Firefighters
Nolte, Charles, Luedke, Joel, Erickson, Jacob L. , Zeller, Annette, Dobbs, Ward C. , Markert, Adam, Fields, Jennifer B. , Jones, Margaret T. , Zeller, Annette, Almonroeder, Thomas Gus , Jagim, Andrew R.

Medicine & Science in Sports & Exercise | September 26, 2023 | Volume: 55 | Issue: 9S | Pages: 471-471

10.1249/01.mss.0000984204.55589.9c Get It

Analysis of Accumulated Workloads and Performance Testing Across a Collegiate Women's Lacrosse Season
Fields, Jennifer B. , Kuhlman, Nicholas M., Dulak-sigler, Corey, Jones, Margaret T. , Jones, Margaret T , Jagim, Andrew R.

Journal of Strength & Conditioning Research | August 28, 2023 | Volume: 37 | Issue: 11 | Pages: 2213-2221

10.1519/jsc.0000000000004551 Get It

Abstract Fields, JB, Kuhlman, NM, Jagim, AR, Dulak-Sigler, C, and Jones, MT. Analysis of accumulated workloads and performance testing across a collegiate women's lacrosse season. J Strength Cond Res 37(11): 2213–2221, 2023—Monitoring accumulated workloads, acute:chronic workload ratios (ACWR), and training monotony (TM) are practical methods for monitoring athlete physical stress. Performance testing provides useful information about the changing nature of physical abilities. Therefore, the purpose was to examine differences in accumulated workloads based on session type, explore seasonal trends in ACWR and TM, and assess changes in performance assessments in collegiate women's lacrosse athletes. Athletes, who were identified as starters ( n = 12), wore positional monitoring technology during training sessions ( n = 61) and games ( n = 17) and completed preseason and postseason assessments of speed, agility, power (jump tests), strength, aerobic capacity, and body composition. Separate 1-way analyses of variance were used to determine differences in accumulated workloads for session type and differences in performance assessments from preseason to postseason ( p < 0.05). When compared with games, practice sessions elicited greater ( p < 0.001) accumulated total distance, player load, repeated high-intensity efforts, accelerations, change of direction, explosive efforts, high-speed efforts ( p = 0.002), and high-speed distance ( p = 0.002). Throughout the season, ACWR and TM ranged from 0.16 to 1.40 AU and 0.68–1.69 AU, respectively. The 40-yd sprint ( p < 0.001) and pro-agility ( p < 0.001) improved from preseason to postseason, whereas no changes in aerobic capacity, lower-body power, or strength were observed ( p > 0.05). The monitoring of accumulated loads, ACWR and TM, and performance tests revealed novel information about the seasonal demands of collegiate women's lacrosse. Women lacrosse players are able to improve speed and agility throughout the season, while maintaining strength, power, and endurance, with minimal reductions in fat-free mass.