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Dive into the research topics where Sharon A. Plowman is active.

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Featured researches published by Sharon A. Plowman.


Research Quarterly for Exercise and Sport | 1992

The Reliability and Validity of the 20-Meter Shuttle Test in American Students 12 to 15 Years Old

Nora Y.-S. Liu; Sharon A. Plowman; Marilyn A. Looney

The purpose of this study was threefold: to determine (a) the test-retest reliability of the 20-m shuttle test (20 MST) (number of laps), (b) the concurrent validity of the 20 MST (number of laps), and (c) the validity of the prediction equation for VO2max developed by Léger, Mercier, Gadoury, and Lambert (1988) on Canadian children for use with American children 12-15 years old. An intraclass coefficient of .93 was obtained on 20 students (12 males; R = .91 and 8 females; R = .87) who completed the test twice, 1 week apart (MT1 = 47.80 +/- 20.29 vs. MT2 = 50.55 +/- 22.39 laps; p > or = .13). VO2peak was obtained by a treadmill test to volitional fatigue on 48 subjects. The number of laps run correlated significantly with VO2peak in males (n = 22; r = .65; F [1, 20] = 14.30 p < or = .001), females (n = 26; r = .51; F [1, 24] = 8.34; p < or = .01), and males and females = (r = .69; F [1, 46] = 42.54, p < or = .001). When the measured VO2peak (M = 49.97 +/- 7.59 ml.kg-1.min-1) was compared with the estimated VO2max (M = 48.72 +/- 5.72 ml.kg-1.min-1) predicted from age and maximal speed of the 20 MST (Léger et al., 1988) no significant difference was found, t (47) = -1.631; p > or = .11, between the means; the r was .72 and SEE was 5.26 ml.kg-1.min-1.(ABSTRACT TRUNCATED AT 250 WORDS)


Journal of Cardiopulmonary Rehabilitation | 1988

Effects of music on exercise performance

Susan Elens Schwartz; Bo Fernhall; Sharon A. Plowman

To determine the influence of music on submaximal exercise performance, 10 untrained men (x age = 20.20 years; x weight = 83.44 kg) and 10 untrained women (x age = 21.40 years; x weight = 60.99 kg) performed a maximal bicycle ergometer test. Each subject then participated in two randomly administere


Research Quarterly for Exercise and Sport | 1990

Passing Rates of American Children and Youth on the FITNESSGRAM Criterion-Referenced Physical Fitness Standards

Marilyn A. Looney; Sharon A. Plowman

The purpose of this study was twofold: (1) to determine the percentage of 6-18-year-old students who passed the FITNESSGRAM criterion scores for percent body fat (%BF), body mass index (BMI), mile run (MR), sit-ups (SU), pull-ups (PU), and sit and reach (S&R), and (2) to suggest and illustrate the instructed-uninstructed/mastery-nonmastery technique for the validation of criterion-referenced cut-off scores. The data base consisted of the NCYFS I and II national probability samples of students. Results showed that the most frequently passed item was the S&R (M = 90%; F = 97%), followed by the two body composition items (%BF: M = 89%; F = 91%) (BMI: M = 88%; F = 85%), the MR (M = 77%; F = 60%), SU (M = 65%, F = 57%), and finally the PU (M = 73%; F = 32%). It is recommended that the criterion cut-off scores be statistically validated using the illustrated technique when the active (instructed) group has been trained with documented levels of frequency, intensity, and duration and the inactive (uninstructed) group is truly sedentary.


The Physician and Sportsmedicine | 1983

Sexual Differences in Athletic Performance: Biological or Behavioral?

Christine L. Wells; Sharon A. Plowman

In brief: Sexual differences in athletic performance are largely due to variations in body size, body composition, aerobic power, and muscular strength. This article reviews the literature on sexual differences for these variables and examines both absolute and relative differences to determine whether they are caused by the biological factor of sex or by cultural influences. The authors conclude that although physiological values for the average man are statistically different from the average woman, differences between any two individuals of the same sex are often greater. Even though sexual differences can be greatly reduced or eliminated by using relative values, their larger size gives men a practical physical advantage in many athletic and daily activities.


Quest | 1988

Youth Fitness Testing: Validation, Planning, and Politics

B. Don Franks; James R. Morrow; Sharon A. Plowman

Physical fitness testing has become a divisive issue among professional, governmental, and private agencies. The selection of test items has too often been the result of political compromise rather than measurement processes. This article outlines the physiological and measurement bases for the development of physical fitness tests. It raises questions that need to be addressed by physiological, psychological, and evaluation scholars. Roles for different individuals and groups are delineated. The process recommended would lead to the development of a better physical fitness test that could be supported and promoted by professional, governmental, and private organizations.


Measurement in Physical Education and Exercise Science | 2007

Submaximal Treadmill Exercise Test to Predict VO2max in Fit Adults

Pat R. Vehrs; James D. George; Gilbert W. Fellingham; Sharon A. Plowman; Kymberli Dustman-Allen

This study was designed to develop a single-stage submaximal treadmill jogging (TMJ) test to predict VO2max in fit adults. Participants (N = 400; men = 250 and women = 150), ages 18 to 40 years, successfully completed a maximal graded exercise test (GXT) at 1 of 3 laboratories to determine VO2max. The TMJ test was completed during the first 2 stages of the GXT. Following 3 min of walking (Stage 1), participants achieved a steady-state heart rate (HR) while exercising at a comfortable self-selected submaximal jogging speed at level grade (Stage 2). Gender, age, body mass, steady-state HR, and jogging speed (mph) were included as independent variables in the following multiple linear regression model to predict VO2max (R = 0.91, standard error of estimate [SEE] = 2.52 mL · kg−1 · min−1): VO2max (mL · kg−1 · min−1) = 58.687 + (7.520 × Gender; 0 = woman and 1 = man) + (4.334 × mph) − (0.211 × kg) − (0.148 × HR) − (0.107 × Age). Based on the predicted residual sum of squares (PRESS) statistics (RPRESS = 0.91, SEE PRESS = 2.54 mL · kg−1 · min−1) and small total error (TE; 2.50 mL · kg−1 · min−1; 5.3% of VO2max) and constant error (CE; −0.008 mL · kg−1 · min−1) terms, this new prediction equation displays minimal shrinkage. It should also demonstrate similar accuracy when it is applied to other samples that include participants of comparable age, body mass, and aerobic fitness level. This simple TMJ test and its corresponding regression model provides a relatively safe, convenient, and accurate way to predict VO2max in fit adults, ages 18 to 40 years.


Medicine and Science in Sports and Exercise | 1991

Body composition and sexual maturation in premenarcheal athletes and nonathletes.

Sharon A. Plowman; Nora Yan-Shu Liu; Christine L. Wells

The purpose of this study was to compare premenarcheal athletes (A) and nonathletes (NA) in terms of body composition and sexual maturation and to discern the relationship between these variables. Percent body fat (%BF) was determined by the three-component system of Siri utilizing body density from hydrostatic weighing and total body water measured by deuterium oxide dilution. Sexual maturation was self-assessed using the system described by Marshall and Tanner. ANOVAs and polynomial regression analysis revealed that both the A (N = 73) and NA (N = 53) showed similar values and linear increases (P less than 0.001) in height (HT), weight (WT), breast (B) and pubic hair (PH) development from 7 to 15 yr but not in %BF (XA = 15.7 +/- 4.6; XNA = 20.5 +/- 6.4 (P less than 0.001]. The NA exhibited a quadratic curve (P less than 0.01) in %BF over age, while the A showed a negative linear relationship (P less than 0.001) with age. Scheffe post hoc tests revealed significant differences (P less than 0.03, A less than NA) at 11 and 12-15 yr. When %BF was compared to maturation, the A were found to have less fat (P less than 0.01) at stages 1 and 4 of PH and at stages 2, 3, and 4 of B. There were no significant differences between A and NA in the age at which B2, 3, or 4 or PH2, 3, or 4 occurred. Both groups exhibited similar and significant correlations between age, HT, WT, B, and PH development but not %BF.(ABSTRACT TRUNCATED AT 250 WORDS)


Research Quarterly for Exercise and Sport | 2014

Top 10 Research Questions Related to Musculoskeletal Physical Fitness Testing in Children and Adolescents

Sharon A. Plowman

The purpose of this article is to bring attention to the 10 most pressing questions relevant to musculoskeletal physical fitness testing in children and adolescents. The goal is to stimulate research to answer these questions. The most pressing needs include establishing definitive links between valid, reliable, and feasible field test measures of muscular strength, endurance, power, and flexibility and health risk factors/markers in children and adolescents; determining the effects of exercise training on these relationships; and documenting the tracking of these relationships. The role of flexibility in health-related physical fitness (HRPF) needs to be carefully and specifically examined. Although body weight/composition is a separate component of health-related fitness, it is also a factor that can influence the performance of musculoskeletal test items. The role of body weight, body fat, and central adiposity and the possibility of adjustment of tests results are important research questions. Several questions relate to which field tests are best for use in schools. Finally, actual health-related criterion-referenced cutoff values need to be developed. In conclusion, more quality research is needed to firmly establish the musculoskeletal area for HRPF in youth.


Measurement in Physical Education and Exercise Science | 2002

Reliability and Validity of the Anaerobic Speed Test and the Field Anaerobic Shuttle Test for Measuring Anaerobic Work Capacity in Soccer Players

Camille Thomas; Sharon A. Plowman; Marilyn A. Looney

Twenty-six male and female collegiate and semiprofessional/professional soccer players (age = 20.4 ± 2.0 years; height = 172.1 ± 8.2 cm; weight = 70.7 ± 10.8 kg) participated in this study to determine the reliability and validity of a field anaerobic shuttle test (FAST) and the Cunningham and Faulkner (1969) treadmill anaerobic speed test (AST). The relationship between the AST and FAST was also investigated. Intraclass reliability coefficients were acceptable for the FAST (.96) and AST (.97) with no significant difference between the means at T1 and T2 (FAST = 56.0 vs. 55.8 sec; AST = 41.9 vs. 41.4 sec). Poor reliability for the Wingate Anaerobic Test (WAT), .83 (W), .70 (W · kg-1), necessitated correcting the validity coefficients for attenuation, FAST vs. WAT = -.89 (W) and -.71 (W · kg-1); AST vs. WAT = .82 (W) and .74 (W · kg-1). These coefficients provide preliminary evidence that the construct being measured is anaerobic work capacity. The results (FAST vs. AST = -.85) indicate that FAST and AST appear to be measuring the same construct. Further research is needed to substantiate the validity of AST and FAST scores as measures of anaerobic work capacity of collegiate and professional soccer players.


NASSP Bulletin | 1985

Fitness in the Educational Workplace: An Essential for Top Performance

Sharon A. Plowman; Judith A. Bischoff

Educators should be concerned about the increase in job-related stress and its effect on their professional lives. The authors discuss several factors that may influence teacher stress and performance and suggest that personal fitness is one method of stress management.

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Marilyn A. Looney

Northern Illinois University

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Christine L. Wells

Northern Illinois University

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Nora Yan-Shu Liu

Northern Illinois University

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Wendy L. Willms

Northern Illinois University

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Bo Fernhall

University of Illinois at Chicago

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Frances Siver

Louisiana State University Agricultural Center

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Maren Hegsted

Louisiana State University

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Michael J. Keenan

Louisiana State University

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Patricia Wozniak

Louisiana State University Agricultural Center

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