Traditional involvement patterns in leisure-time physical activities may have changed with demographic shifts in American society. We analyzed a community survey of 401 Illinois adults to determine involvement in recreational activities by gender, age, race, and social class. Regression analyses reveal differences in participation in individual and team activities. These differences by demographic classification are explained by structural and normative influences.
Lesley Fishwick and Diane Hayes
Xanne Janssen, Dylan P. Cliff, John J. Reilly, Trina Hinkley, Rachel A. Jones, Marijka Batterham, Ulf Ekelund, Soren Brage and Anthony D. Okely
This study examined the classification accuracy of the activPAL, including total time spent sedentary and total number of breaks in sedentary behavior (SB) in 4- to 6-year-old children. Forty children aged 4–6 years (5.3 ± 1.0 years) completed a ~150-min laboratory protocol involving sedentary, light, and moderate- to vigorous-intensity activities. Posture was coded as sit/lie, stand, walk, or other using direct observation. Posture was classified using the activPAL software. Classification accuracy was evaluated using sensitivity, specificity and area under the receiver operating characteristic curve (ROC-AUC). Time spent in each posture and total number of breaks in SB were compared using paired sample t-tests. The activPAL showed good classification accuracy for sitting (ROC-AUC = 0.84) and fair classification accuracy for standing and walking (0.76 and 0.73, respectively). Time spent in sit/lie and stand was overestimated by 5.9% (95% CI = 0.6−11.1%) and 14.8% (11.6−17.9%), respectively; walking was underestimated by 10.0% (−12.9−7.0%). Total number of breaks in SB were significantly overestimated (55 ± 27 over the course of the protocol; p < .01). The activPAL performed well when classifying postures in young children. However, the activPAL has difficulty classifying other postures, such as kneeling. In addition, when predicting time spent in different postures and total number of breaks in SB the activPAL appeared not to be accurate.
Keith P. Gennuso, Kathryn Zalewski, Susan E. Cashin and Scott J. Strath
To examine the effectiveness of the American College of Sports Medicine (ACSM) and the American Heart Association (AHA) resistance training (RT) guidelines to improve physical function and functional classification in older adults with reduced physical abilities.
Twenty-five at-risk older adults were randomized to a control (CON = 13) or 8-week resistance training intervention arm (RT = 12). Progressive RT included 8 exercises for 1 set of 10 repetitions at a perceived exertion of 5–6 performed twice a week. Individuals were assessed for physical function and functional classification change (low, moderate or high) by the short physical performance battery (SPPB) and muscle strength measures.
Postintervention, significant differences were found between groups for SPPB—Chair Stand [F(1,22) = 9.14, P < .01, η = .29] and SPPB—Total Score [F(1,22) = 7.40, P < .05, η = .25]. Functional classification was improved as a result of the intervention with 83% of participants in the RT group improving from low to moderate functioning or moderate to high functioning. Strength significantly improved on all exercises in the RT compared with the CON group.
A RT program congruent with the current ASCM and AHA guidelines is effective to improve overall physical function, functional classification, and muscle strength for older adults with reduced physical abilities.
Lachlan E. Garrick, Bryce C. Alexander, Anthony G. Schache, Marcus G. Pandy, Kay M. Crossley and Natalie J. Collins
as the test limb for all single-leg squat testing. Classification of Single-Leg Squat Performance Participants were barefoot and wore appropriate clothing to allow adequate visualization of anatomical landmarks on the trunk, pelvis, and lower limb. To facilitate classification of single-leg squat
Laurent Frossard, James Smeathers, Alison O’Riordan and Scott Goodman
The parameters of the shot’s trajectory were reported for male and female gold medalists (classes F52, F53, F54, and F55) who competed at the 2000 Paralympic Games and the 2002 International Paralympic Committee (IPC) World Championships. The specific objective was to determine the magnitude of differences in these parameters across classes and genders. The release velocity of the shot increased with the performance and the classification for both males (8.30 m/s – 9.96 m/s) and females (4.58 m/s – 8.50 m/s). The measured angle of the shot’s trajectory at release also increased with the performance and the classification for both males (27.54° – 32.47°) and females (9.02° – 34.52°). The position of the shot from a fixed reference point at release revealed a similar trend for both males (2.01 m – 2.68 m) and females (1.16 m – 1.98 m), although it was weaker.
Joseph P. Winnick and Francis X. Short
In order to compare their physical fitness, the UNIQUE Physical Fitness Test was administered to 203 retarded and nonretarded subjects with cerebral palsy from both segregated and integrated settings throughout the United States. The test was administered to subjects between the ages of 10 and 17 by professional persons prepared as field testers. Subjects were free from multiple handicapping conditions other than mild mental retardation and cerebral palsy. Regardless of intellectual classification, older subjects significantly exceeded the performance of younger subjects on dominant grip strength. Regardless of intellectual classification, older subjects significantly exceeded the scores of younger subjects on the softball throw and flexed arm hang. No significant differences between retarded and nonretarded subjects at the .01 level of significance were found on any of the test items on the UNIQUE test. The factor structures of both retarded and nonretarded groups were identical with regard to the items that loaded on specific physical fitness factors.
Jennifer Ryan, Michael Walsh and John Gormley
This study investigated the ability of published cut points for the RT3 accelerometer to differentiate between levels of physical activity intensity in children with cerebral palsy (CP). Oxygen consumption (metabolic equivalents; METs) and RT3 data (counts/min) were measured during rest and 5 walking trials. METs and corresponding counts/min were classified as sedentary, light physical activity (LPA), and moderate to vigorous physical activity (MVPA) according to MET thresholds. Counts were also classified according to published cut points. A published cut point exhibited an excellent ability to classify sedentary activity (sensitivity = 89.5%, specificity = 100.0%). Classification accuracy decreased when published cut points were used to classify LPA (sensitivity = 88.9%, specificity = 79.6%) and MVPA (sensitivity = 70%, specificity = 95–97%). Derivation of a new cut point improved classification of both LPA and MVPA. Applying published cut points to RT3 accelerometer data collected in children with CP may result in misclassification of LPA and MVPA.
Collin Webster, Diana Mîndrilă and Glenn Weaver
Affective learning is a major focus of the national K-12 physical education (PE) content standards (National Association for Sport and Physical Education [NASPE, 2004]). Understanding how students might fit into different affective learning subgroups would help extend affective learning theory in PE and suggest possible intervention strategies for teachers wanting to increase students’ affective learning. The present study used cluster analysis (CA) and latent profile analysis (LPA) to develop a two-level affective learning-based typology of high school students in compulsory PE from an instructional communication perspective. The optimal classification system had ten clusters and four latent profiles. A comparison of students’ class and cluster memberships showed that the two classification procedures yielded convergent results, thus suggesting distinct affective learning profiles. Students’ demographic and biographical characteristics, including gender, race, body mass index, organized sport participation, and free time physical activity, were helpful in further characterizing each profile.
Jianning Wu and Jue Wang
In this technical note, we investigate a combination PCA with SVM to classify gait pattern based on kinetic data. The gait data of 30 young and 30 elderly participants were recorded using a strain gauge force platform during normal walking. The gait features were first extracted from the recorded vertical directional foot– ground reaction forces curve using PCA, and then these extracted features were adopted to develop the SVM gait classifier. The test results indicated that the performance of PCA-based SVM was on average 90% to recognize young– elderly gait patterns, resulting in a markedly improved performance over an artificial neural network–based classifier. The classification ability of the SVM with polynomial and radial basis function kernels was superior to that of the SVM with linear kernel. These results suggest that the proposed technique could provide an effective tool for gait classification in future clinical applications.
Caroline Davis and Shaelyn Strachan
Some have claimed that the similarities between athletes with eating problems and women with eating disorders (ED) include only symptoms such as dieting and fear of weight gain, and do not extend to the psychopathological characteristics associated with these disorders. However, studies used to support this viewpoint have relied on comparisons between “eating-disturbed” athletes and clinically diagnosed ED patients, a method that confounds diagnostic classification with athlete status. The present study held ED classification constant by comparing ED patients who had been involved in high-level competitive athletics with nonathlete ED. No significant differences were found between the groups on any measures of psychopathology or eating-related symptoms; this suggests that if an athlete develops an eating disorder, her psychological profile is no different from others with this disorder.