American Journal of Sports Science and Medicine
ISSN (Print): 2333-4592 ISSN (Online): 2333-4606 Website: Editor-in-chief: Ratko Pavlović
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American Journal of Sports Science and Medicine. 2018, 6(4), 99-105
DOI: 10.12691/ajssm-6-4-1
Open AccessArticle

Multivariate Analysis of Vertical Jump Predicting Health-related Physical Fitness Performance

Peter D. Hart1, 2,

1Health Promotion Program, Montana State University - Northern, Havre, MT 59501

2Kinesmetrics Lab, Montana State University - Northern, Havre, MT 59501

Pub. Date: October 06, 2018

Cite this paper:
Peter D. Hart. Multivariate Analysis of Vertical Jump Predicting Health-related Physical Fitness Performance. American Journal of Sports Science and Medicine. 2018; 6(4):99-105. doi: 10.12691/ajssm-6-4-1


Background: Health-related fitness tests measure one of five different traits: cardiorespiratory endurance, muscular strength, muscular endurance, body composition, and flexibility. To assess an individual on all five traits can be costly and time consuming. Thus, it would be useful to the fitness practitioner if one single test could be used as a proxy for overall fitness. Therefore, the purpose of this study was to employ multivariate data analyses to examine the ability of the vertical jump (VJ) to predict health-related fitness performance. Methods: This study used data from college students who completed both ten different health-related fitness tests and the VJ assessment. Three body composition measures were used: percent body fat (PBF, %), body mass index (BMI, kg/m2), and waist circumference (WC, cm). Four muscular fitness measures were used: 1RM bench press (BP, lb), 1RM leg press (LP, lb), maximal push-up repetition (PU, #), and flexed arm hang time (FAH, sec). Two cardiorespiratory endurance measures were used: maximal oxygen consumption (VO2, ml/kg/min) and physical activity rating score (PAR, 0 thru 10). One flexibility measure was used: sit-and-reach (SNR, cm). The countermovement vertical jump (VJ, in) was used as the single predictor variable and participants were categorized into high or low VJ groups using the sex-specific median. Results: Male-specific multivariate analysis of variance (MANOVA) results showed that VJ significantly predicts the linear combination of body composition (λ=0.85, F=4.8, p=.004), muscular fitness (λ=0.66, F=10.4, p<.001), and cardiorespiratory endurance (λ=0.85, F=7.3, p=.001). Female-specific MANOVA results also showed that VJ significantly predicts the linear combination of body composition (λ=0.43, F=17.6, p<.001), muscular fitness (λ=0.41, F=14.1, p<.001), and cardiorespiratory endurance (λ=0.61, F=13.0, p<.001). Univariate ANOVA models showed that VJ significantly predicts flexibility (F=5.0, p=.028) in males only. Overall fitness MANOVA models showed that VJ significantly predicts the linear combination of all ten fitness scores in both males (λ=0.61, F=4.8, p<.001) and females (λ=0.33, F=6.8, p<.001). Conclusion: Results from this study indicate that VJ is a valid predictor of health-related fitness performance in college students.

physical fitness vertical jump multivariate analysis of variance (MANOVA)

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