Cross-Validation of Aerobic Capacity Prediction Models in Adolescents

2015 ◽  
Vol 27 (3) ◽  
pp. 404-411 ◽  
Author(s):  
Ryan D. Burns ◽  
James C. Hannon ◽  
Timothy A. Brusseau ◽  
Patricia A. Eisenman ◽  
Pedro F. Saint-Maurice ◽  
...  
Keyword(s):  
Prediction Error ◽  
Cross Validation ◽  
Prediction Models ◽  
Treadmill Test ◽  
Cardiovascular Endurance ◽  
Linear Relationships ◽  
Health Related ◽  
Criterion Referenced ◽  
Cardiorespiratory Endurance ◽  
Capacity Prediction

Cardiorespiratory endurance is a component of health-related fitness. FITNESSGRAM recommends the Progressive Aerobic Cardiovascular Endurance Run (PACER) or One mile Run/Walk (1MRW) to assess cardiorespiratory endurance by estimating VO2 Peak. No research has cross-validated prediction models from both PACER and 1MRW, including the New PACER Model and PACER-Mile Equivalent (PACER-MEQ) using current standards. The purpose of this study was to cross-validate prediction models from PACER and 1MRW against measured VO2 Peak in adolescents. Cardiorespiratory endurance data were collected on 90 adolescents aged 13–16 years (Mean = 14.7 ± 1.3 years; 32 girls, 52 boys) who completed the PACER and 1MRW in addition to a laboratory maximal treadmill test to measure VO2 Peak. Multiple correlations among various models with measured VO2 Peak were considered moderately strong (R = .74–0.78), and prediction error (RMSE) ranged from 5.95 ml·kg-1, min-1 to 8.27 ml·kg-1.min-1. Criterion-referenced agreement into FITNESSGRAM’s Healthy Fitness Zones was considered fair-to-good among models (Kappa = 0.31–0.62; Agreement = 75.5–89.9%; F = 0.08–0.65). In conclusion, prediction models demonstrated moderately strong linear relationships with measured VO2 Peak, fair prediction error, and fair-to-good criterion referenced agreement with measured VO2 Peak into FITNESSGRAM’s Healthy Fitness Zones.

Effect of an Active Video Gaming Classroom Curriculum on Health-Related Fitness, School Day Step Counts, and Motivation in Sixth Graders

2018 ◽  
Vol 15 (9) ◽  
pp. 644-650 ◽  
Author(s):  
You Fu ◽  
Ryan D. Burns
Keyword(s):  
Comparison Group ◽  
Sixth Graders ◽  
Video Gaming ◽  
Cardiovascular Endurance ◽  
Active Video Gaming ◽  
Active Video ◽  
School Day ◽  
Health Related ◽  
Cardiorespiratory Endurance ◽  
Health Related Fitness

Background: The purpose of this study was to explore the effect of an active video gaming (AVG) classroom curriculum on health-related fitness, school day steps, and motivation in sixth graders. Methods: A convenience sample of 65 sixth graders were recruited from 2 classrooms from a school located in the Western United States. One classroom served as the comparison group (n = 32) that participated in active free play, and one classroom served as the intervention group (n = 33) that participated in an AVG curriculum for 30 minutes per day, 3 days per week, for 18 weeks. Cardiorespiratory endurance was assessed using Progressive Aerobic Cardiovascular Endurance Run laps. School day steps were recorded, and motivational variables were collected using questionnaires. Measures were collected at baseline and an 18-week posttest time point. Results: There was a significant group × time interaction for Progressive Aerobic Cardiovascular Endurance Run laps (b = 20.7 laps; 95% confidence interval, 14.6 to 26.8; P < .001). No statistically significant interactions were found for step counts or any of the motivational variables. Conclusions: An 18-week AVG classroom curriculum improved cardiorespiratory endurance relative to the comparison group in sixth graders. This study supports the use of low-cost AVG curricula to improve the health-related fitness of youth.

Movement Analysis of Philippine Folk Dance Tinikling

2019 ◽  
Vol 2 (1) ◽  
pp. 30-34
Author(s):  
Sanchez Jorielle C ◽  
Manlutac Crisalyn T ◽  
Salas Joven V ◽  
Soriano Marilou R ◽  
Santos Michael E ◽  
...  
Keyword(s):  
Movement Analysis ◽  
Adductor Muscle ◽  
Mechanical Analysis ◽  
The Philippines ◽  
Folk Dance ◽  
Dance Movement ◽  
Cardiovascular Endurance ◽  
Hip Muscle ◽  
Health Related ◽  
Muscle Groups

The purpose of the study was to describe the dance movements of the folk dance Tinikling which is the most popular traditional dance and former national dance of the Philippines.  The researchers adopted the movement analysis method similar to that of Mackenzie that involves the (1) description of the actual movements which occur at the joints involved; (2) the plane in which the movement occurs; and (3) the muscles producing the movement (agonist & antagonist). In addition, the researchers also had done a mechanical analysis on the lever type involved in the execution of the dance movement in terms of force, axis, and resistance. The prominent dance steps in the Philippine local dance Tinikling are the (1) running, (2) tinikling steps, (3) diagonal step, and (4) straddle jump with a turn step. The joints involved are: hip muscle which is ball and socket type of joint; and knee and ankle which are hinge joints. The major muscles involved in the dance include mostly the lower body muscle groups such as the quadriceps, hamstring, gluts, adductor muscle group, and calves. The type of lever used in performing the dance comprise majority of 1st, 2nd and 3rd class levers. Thus, the Tinikling is a viable dance which could improve the health related fitness of the performers in terms of muscular strength, muscular endurance, cardiovascular endurance and flexibility. Also, the dance could improve skill-related fitness such as power, agility, balance and coordination.

scholarly journals Effect of Integrated Neuromuscular Exercise in Physical Education Class on Health-Related Fitness in Female Children

Healthcare ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 312
Author(s):  
Marijana Sinđić ◽  
Draženka Mačak ◽  
Nikola Todorović ◽  
Bianka Purda ◽  
Maja Batez
Keyword(s):  
Physical Education ◽  
Muscular Fitness ◽  
Female Children ◽  
Before And After ◽  
Health Related ◽  
The Republic ◽  
Almost All ◽  
And Control ◽  
Cardiorespiratory Endurance ◽  
Health Related Fitness

Integrated neuromuscular training (INT) showed benefits for improving fundamental movement skills (FMS). However, the INT health-related fitness (HRF) effects are lacking. The current study aimed to determine the effects of INT implemented during physical education (PE) in a primary school in the Republic of Serbia on HRF in female children. The sample consisted of 72 healthy girls who were divided into the intervention (EG: n = 37; mean ± SD: age = 8.17 ± 0.31) and control (CG: n = 35; age = 8.11 ± 0.31) groups. The EG and CG performed the INT program and traditional PE activities two times per week within the first ~15 min of PE class, respectively. The Fitnessgram battery tests assessed the HRF (body composition, cardiorespiratory endurance, muscular fitness, and flexibility) before and after the program. After eight weeks, the EG significantly reduced all fat measures, while the CG decreased only triceps skinfold but to a smaller extent (F = 5.92, p < 0.02, ŋ2 = 0.09). Both groups significantly improved the performance of almost all muscular fitness tests (curl-ups, trunk lift, push-ups); however, the EG increased the push-ups more than the CG (F = 9.01, p < 0.01, ŋ2 = 0.14). The EG additionally improved the modified pull-ups (F = 14.09, p < 0.01, ŋ2 = 0.19) and flexed arm hang (F = 28.82, p < 0.01, ŋ2 = 0.33) tests. The flexibility and cardiorespiratory endurance of both groups did not significantly change after eight weeks. This approach of exercise showed positive acceptance and relatively good results after only eight weeks.

scholarly journals Association between Health-Related Physical Fitness and Respiratory Diseases in Adolescents: An Age- and Gender-Matched Study

2021 ◽  
Vol 18 (12) ◽  
pp. 6655
Author(s):  
Jeong-Hui Park ◽  
Myong-Won Seo ◽  
Hyun Chul Jung ◽  
Jong-Kook Song ◽  
Jung-Min Lee
Keyword(s):  
Physical Fitness ◽  
Respiratory Diseases ◽  
Muscular Strength ◽  
Positive Association ◽  
General Group ◽  
Cardiovascular Endurance ◽  
Health Practitioners ◽  
Health Related ◽  
And Gender ◽  
Matched Study

The current study examined the differences in health-related physical fitness (HRPF), physical activity (PA), and sedentary behavior (SB) between adolescents with and without ongoing respiratory diseases (RD). This study’s participants were from 12 to 15 years old (7th–10th grade) in South Korea. Adolescents with RD were selected through RD-related questions (i.e., asthma, rhinitis, sinusitis, and bronchitis) (n = 139); in contrast, adolescents without RD, randomly selected from the general group, responded to any health problem-related questions as “No” (n = 139). HRPF was measured based on the FITNESSGRAM and EURO FIT test batteries and the measurements of HRPF included cardiovascular endurance, muscular strength, muscular endurance, flexibility, and body composition. All statistical analyses were conducted by SPSS 25.0, and the independent t-test was used to compare the HRPF and PA between the two groups. Moreover, the measured HRPF was compared with a series of analyses of three-way ANOVAs (age × gender × group). Adolescents with RD had a positive association with less participation in PA (p < 0.05; RD: 3081.81 ± 4793.37; general: 2073.64 ± 3123.47) and with more time spent on SB (above 12 h per week: RD group (38.85%) and general group (33.09%)). Furthermore, adolescents in the RD group showed significant effects on all components of HRPF (p < 0.05). Our study confirmed that HRPF is an essential predictor of adolescents’ health outcomes, especially for those with RD. We suggest that increased HRPF can be an effective treatment for respiratory diseases in adolescents, and health practitioners should pay more attention to helping adolescents with RD to gain or maintain high HRPF.

scholarly journals Internal-external cross-validation helped to evaluate the generalizability of prediction models in large clustered datasets

2021 ◽  
Author(s):  
Toshihiko Takada ◽  
Steven Nijman ◽  
Spiros Denaxas ◽  
Kym I.E. Snell ◽  
Alicia Uijl ◽  
...  
Keyword(s):  
Cross Validation ◽  
Prediction Models

Health-Related Criterion-Referenced Cut-Points for Cardiorespiratory Fitness Among Youth: A Systematic Review

2021 ◽  
Author(s):  
Scott Rollo ◽  
Brooklyn J. Fraser ◽  
Nick Seguin ◽  
Margaret Sampson ◽  
Justin J. Lang ◽  
...  
Keyword(s):  
Systematic Review ◽  
Cardiorespiratory Fitness ◽  
Cut Points ◽  
Health Related ◽  
Criterion Referenced

scholarly journals Dynamic Modulus Prediction of a High-Modulus Asphalt Mixture

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Chaohui Wang ◽  
Songyuan Tan ◽  
Qian Chen ◽  
Jiguo Han ◽  
Liang Song ◽  
...  
Keyword(s):  
Neural Network ◽  
Prediction Model ◽  
Multiple Regression ◽  
Dynamic Modulus ◽  
Prediction Error ◽  
Prediction Models ◽  
Asphalt Mixture ◽  
High Modulus ◽  
Output Stability ◽  
Svm Model

Dynamic modulus is a key evaluation index of the high-modulus asphalt mixture, but it is relatively difficult to test and collect its data. The purpose is to achieve the accurate prediction of the dynamic modulus of the high-modulus asphalt mixture and further optimize the design process of the high-modulus asphalt mixture. Five high-temperature performance indexes of high-modulus asphalt and its mixture were selected. The correlation between the above five indexes and the dynamic modulus of the high-modulus asphalt mixture was analyzed. On this basis, the dynamic modulus prediction models of the high-modulus asphalt mixture based on small sample data were established by multiple regression, general regression neural network (GRNN), and support vector machine (SVM) neural network. According to parameter adjustment and cross-validation, the output stability and accuracy of different prediction models were compared and evaluated. The most effective prediction model was recommended. The results show that the SVM model has more significant prediction accuracy and output stability than the multiple regression model and the GRNN model. Its prediction error was 0.98–9.71%. Compared with the other two models, the prediction error of the SVM model declined by 0.50–11.96% and 3.76–13.44%. The SVM neural network was recommended as the dynamic modulus prediction model of the high-modulus asphalt mixture.

scholarly journals Pitfalls and Remedies for Cross Validation with Multi-trait Genomic Prediction Methods

2019 ◽  
Author(s):  
Daniel Runcie ◽  
Hao Cheng
Keyword(s):  
Genomic Prediction ◽  
Prediction Accuracy ◽  
Cross Validation ◽  
Prediction Models ◽  
Selection Index ◽  
Parametric Method ◽  
Multiple Traits ◽  
Gold Standard Method ◽  
Secondary Traits ◽  
Validation Strategy

ABSTRACTIncorporating measurements on correlated traits into genomic prediction models can increase prediction accuracy and selection gain. However, multi-trait genomic prediction models are complex and prone to overfitting which may result in a loss of prediction accuracy relative to single-trait genomic prediction. Cross-validation is considered the gold standard method for selecting and tuning models for genomic prediction in both plant and animal breeding. When used appropriately, cross-validation gives an accurate estimate of the prediction accuracy of a genomic prediction model, and can effectively choose among disparate models based on their expected performance in real data. However, we show that a naive cross-validation strategy applied to the multi-trait prediction problem can be severely biased and lead to sub-optimal choices between single and multi-trait models when secondary traits are used to aid in the prediction of focal traits and these secondary traits are measured on the individuals to be tested. We use simulations to demonstrate the extent of the problem and propose three partial solutions: 1) a parametric solution from selection index theory, 2) a semi-parametric method for correcting the cross-validation estimates of prediction accuracy, and 3) a fully non-parametric method which we call CV2*: validating model predictions against focal trait measurements from genetically related individuals. The current excitement over high-throughput phenotyping suggests that more comprehensive phenotype measurements will be useful for accelerating breeding programs. Using an appropriate cross-validation strategy should more reliably determine if and when combining information across multiple traits is useful.

scholarly journals Differences in Health-Related Fitness Variables between Adult Athletes and Non-Athletes with Down Syndrome: A Descriptive Study

2021 ◽  
Vol 13 (17) ◽  
pp. 9618
Author(s):  
Cristina Castejón-Riber ◽  
Francisco Requena ◽  
Juan de Dios Benítez-Sillero ◽  
Rocío Camacho
Keyword(s):  
Down Syndrome ◽  
Body Fat ◽  
Descriptive Study ◽  
Objective Data ◽  
Male Athletes ◽  
Waist To Hip Ratio ◽  
Cardiovascular Endurance ◽  
Health Related ◽  
Health Related Fitness

The main purpose of this study is to present objective data on the differences in anthropometrics and fitness variables between adult athletes and non-athletes with Down Syndrome (DS) members of the “Down Cordoba Association” (DCA), after adjusting for confounders. Twenty-seven adults, 7 athletes and 20 non-athletes with DS, participated in this study. Health-related fitness variables were measured with tests validated for this population. First, the characteristics of the subjects according to sex and sports practice are presented. Athletes present significantly higher values for height (p = 0.010) and waist-to-hip ratio (p = 0.005). Furthermore, male athletes compared to male non-athletes have lower values in % of body fat (p = 0.030), and in waist (p = 0.031) and hip (p = 0.041) circumferences. Furthermore, athletes have better values in tests of strength, cardiovascular endurance (66.60 ± 47.66 vs. 32.31 ± 24.49 (s); p = 0.037), and agility, but not in flexibility. Significant differences were only found in cardiovascular endurance. As a conclusion, the practice of sports among the users of the “Down Córdoba Association” in general leads to better health-related fitness values. Therefore, we encourage the guardians of people with DS in this association to motivate them to practice sports because this practice will more likely improve their overall health.

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