Relationship between Body Composition and Cardiorespiratory Fitness in Students at Postgraduate Level

Arabmokhtari, Rohallah; Khazani, Ali; Bayati, Mahdi; Barmaki, Sara; Fallah, Ebrahim

doi:10.5812/zjrms.12109

Cited by 7 publications

(10 citation statements)

References 20 publications

(42 reference statements)

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“…In young males and females, regular physical exercise definitely improves CRF by increasing VO 2 max and decreasing body fat percentage, leading to a better quality of life [51][52][53][54]. The VO 2 max level varies significantly among individuals and mainly depends on genetic aspects, sex, age anthropometric properties of health, lifestyle and training status [51,52,[55][56][57][58][59]. Reference values may change over time and should be regularly updated/validated [60].…”

Section: Discussionmentioning

confidence: 99%

Predictive Modeling of VO2max Based on 20 m Shuttle Run Test for Young Healthy People

Przednówek¹,

Barabasz²,

Zadarko-Domaradzka³

et al. 2018

Applied Sciences

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This study presents mathematical models for predicting VO2max based on a 20 m shuttle run and anthropometric parameters. The research was conducted with data provided by 308 young healthy people (aged 20.6 ± 1.6). The research group includes 154 females (aged 20.3 ± 1.2) and 154 males (aged 20.8 ± 1.8). Twenty-four variables were used to build the models, including one dependent variable and 23 independent variables. The predictive methods of analysis include: the classical model of ordinary least squares (OLS) regression, regularized methods such as ridge regression and Lasso regression, artificial neural networks such as the multilayer perceptron (MLP) and radial basis function (RBF) network. All models were calculated in R software (version 3.5.0, R Foundation for Statistical Computing, Vienna, Austria). The study also involved variable selection methods (Lasso and stepwise regressions) to identify optimum predictors for the analysed study group. In order to compare and choose the best model, leave-one-out cross-validation (LOOCV) was used. The paper presents three types of models: for females, males and the whole group. An analysis has revealed that the models for females ( RMSE C V = 4.07 mL·kg−1·min−1) are characterised by a smaller degree of error as compared to male models ( RMSE C V = 5.30 mL·kg−1·min−1). The model accounting for sex generated an error level of RMSE C V = 4.78 mL·kg−1·min−1.

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Section: Discussionmentioning

confidence: 99%

Predictive Modeling of VO2max Based on 20 m Shuttle Run Test for Young Healthy People

Przednówek¹,

Barabasz²,

Zadarko-Domaradzka³

et al. 2018

Applied Sciences

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show abstract

“…Based on the criteria, systematized research is divided into two groups: the correlation between body composition and cardiorespiratory fitness and the difference in body composition (BMI) and cardiorespiratory fitness. The correlation between body composition and cardiorespiratory fitness can be found in the following works: Zar, Karan, & Ahmadi 2017 Na, Kim, & Choi (2003), Arabmokhtari, Khazani, Bayati, Barmaki & Fallah (2018).…”

Section: Discussionmentioning

confidence: 99%

“…Excess body mass has a negative effect on physical fitness. The results that Arabmokhtari, Khazani, Bayati, Barmaki, & Fallah (2018) got when they examined the relationship between body composition and cardiorespiratory fitness showed the reverse relationship between BMI and VO 2max , which means that higher BMI values have an impact on poorer VO 2max results.…”

Section: Discussionmentioning

confidence: 99%

Nutrition Level and Cardiorespiratory Fitness in Student Population – A Systematic Review

et al. 2019

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The aim of this of systematic review paper was to determine whether there is a correlation between the level of nutrition and cardiorespiratory fitness in the student population. The collected papers date from the period between 2000 and 2018. The sample included both male and female students with different levels of nutrition. The analyzed studies determined the differences and changes in BMI in relation to cardiorespiratory fitness. The studies had a criterion that showed differences in nutritional level and cardiorespiratory fitness and changes in BMI and cardiorespiratory fitness. Research has shown that there are significant differences in the level of nutrition of students and their physical fitness. Students with higher BMI had poorer results on cardiorespiratory fitness tests. With the increase in BMI, the VO2max values (maximal oxygen consumption values) are reduced. Higher BMI also adversely affects other physiological parameters. Moreover, there is a high correlation between BMI levels and cardiorespiratory endurance. Students included in the systematization, with their lower body composition values, showed better results on cardiorespiratory endurance tests. Increased body mass can lead to poorer results on physical fitness tests.

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“…The test started with warm-up at a speed of 2.7 km/h and a 10% incline. At the end of each stage, the incline and speed increased until the participant reached volitional fatigue (13). Then, VO 2 max was estimated using the Bruce protocol formula by Foster et al for males and females (Equations 1 and 2) (15).…”

Section: Crf Assessmentmentioning

confidence: 99%

“…Many studies have focused on CRF and health risk factors in different student communities, both inside and abroad (8,13,14). There are a lot of differences between Iran and Italy.…”

Section: Introductionmentioning

confidence: 99%

Cardiorespiratory Fitness and Its Relationship with Health Risk Factors Among University Students: A Comparison Between Iran and Italy

Karimi

Roshan

Esposito

2020

Zahedan J Res Med Sci

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Background: Cardiorespiratory Fitness (CRF) and its associated modifiable and non-modifiable health risk factors are very important in clinical studies. Objectives: This study aimed to compare health risk factors affecting CRF between Iranian and Italian male and female exercise science students. The correlation between VO2max and these factors was also evaluated. Methods: The sample consisted of 87 sport science students from the University of Milan (25 males and 17 females) and the University of Mazandaran (20 males and 25 females) aged 23.69 ± 1.95 years. The level of Physical Activity (PA) and body composition indices were obtained as health risk factors. Then, CRF was assessed by the Bruce test. Rate Pressure Product (RPP), blood pressure, and Heart Rate (HR) were measured before, in the end, and six minutes after the end of the test. Results: Statistical analyses revealed significant differences in RPP, Systolic Blood Pressure (SBP) during exercise, resting SBP, and Waist-to-Height Ratio (WHtR) between Iranian and Italian males and significant differences in Waist-to-Hip Ratio (WHR) and body fat percentage between Iranian and Italian females (P < 0.05). The relationships between VO2max and resting RPP, resting HR, heart rate recovery, step counts, and vigorous PA were significant in all groups (P < 0.05). Conclusions: As an assessment of VO2max, CRF is associated with hemodynamics and health risk factors. Age, sex, ethnicity, lifestyle, and culture of people in different geographical regions can affect health risk factors.

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Relationship between Body Composition and Cardiorespiratory Fitness in Students at Postgraduate Level

Cited by 7 publications

References 20 publications

Predictive Modeling of VO2max Based on 20 m Shuttle Run Test for Young Healthy People

Predictive Modeling of VO2max Based on 20 m Shuttle Run Test for Young Healthy People

Nutrition Level and Cardiorespiratory Fitness in Student Population – A Systematic Review

Cardiorespiratory Fitness and Its Relationship with Health Risk Factors Among University Students: A Comparison Between Iran and Italy

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