Work Form Affects Maximum Oxygen Uptake for One Year in Workers

Hirai, Toshiro; Kusaka, Yukinori; Suganuma, Narufumi; Seo, Akihiko; Tobita, Yoshie

doi:10.2486/indhealth.ms870

Cited by 2 publications

(1 citation statement)

References 24 publications

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“…Factors affecting VO 2max include oxygen diffusion capacity of the lungs, cardiac output, oxygen transport capacity of the blood, capillary density of the muscles, and muscular mitochondria mass [3]. VO 2max further depends on sex, age, genetics, body fat, medical conditions, and smoking [4–6]. Obesity was also found to correlate with lower maximal oxygen uptake and poorer cardiorespiratory fitness [7].…”

Section: Introductionmentioning

confidence: 99%

Factors Associated with Cardiorespiratory Fitness in a Swiss Working Population

Kind¹,

Brighenti-Zogg²,

Mundwiler³

et al. 2019

Journal of Sports Medicine

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Background. Good cardiorespiratory fitness (high VO2max) has beneficial effects on morbidity and mortality. Therefore, a tool to estimate VO2max in daily clinical practice is of great value for preventing chronic diseases in healthy adults. This study aimed at exploring the cardiometabolic profile in a representative Swiss working population. Based on these insights, a regression model was derived revealing factors associated with VO2max. Methods. Cross-sectional data of 337 healthy and full-time employed adults recruited in the Basel region, Switzerland, were collected. Anthropometric measurements to compute body mass index (BMI) and waist circumference (WC) were performed. A 20-meter shuttle run test was conducted to determine individual VO2max. Heart rate (HR) was measured at rest, during maximal exertion, and two minutes after exercise. Systolic (SBP) and diastolic blood pressure (DBP) were assessed at rest and after exercise. A multiple linear regression model was built to identify a set of nonexercise predictor variables of VO2max. Results. Complete data of 303 individuals (63% male) aged 18 to 61 years (mean 33 ± 12 years) were considered for analysis. The regression model (adjusted R2 = 0.647, SE = 5.3) identified sex (β = -0.699, p < 0.001), WC (β = -0.403, p < 0.001), difference of maximal to resting HR (β = 0.234, p < 0.001), smoking (β = -0.171, p < 0.001), and age (β = -0.131, p < 0.01) as the most important factors associated with VO2max, while BMI, SBP, and DBP did not contribute to the regression model. Conclusions. This study introduced a simple model to evaluate VO2max based on nonexercise parameters as part of daily clinical routine without needing a time-consuming, cost-intense, and physically demanding direct assessment of VO2max. Knowledge about VO2max may help identifying individuals at increased cardiovascular risk and may provide the basis for health counselling and tailoring preventive measures.

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Section: Introductionmentioning

confidence: 99%

Factors Associated with Cardiorespiratory Fitness in a Swiss Working Population

Kind¹,

Brighenti-Zogg²,

Mundwiler³

et al. 2019

Journal of Sports Medicine

View full text Add to dashboard Cite

show abstract

Design and Validation of Non-Exercise Equations for Estimation of Aerobic Capacity in Iranian Boys

et al. 2020

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Background and Objectives: Accurate and rapid measurement of cardiorespiratory system performance by estimation methods regardless of basic physiological fitness level, geographical environment, culture and nutrition is of paramount importance. The purpose of this study was to design linear regression equations to estimate the aerobic capacity of healthy adolescent boys without the use of sport tests and validation of this equations. Methods:In the present semi-experimental study, 156 healthy adolescent boys aged 13 to 17 years with a mean body mass index of 21.43 ± 4.5 Kg / m 2 were selected by purposive sampling method. To design the non-sport equation for estimating maximum oxygen consumption (VO 2peak ), a multiple regression linear model and Pearson correlation were used to validate the equations.Results: Significant correlations were observed between the measured VO 2peak and the anthropometric and physiological variables (R=0.122 -0.799, P<0.001). Also, a valid non-exercise linear equation for boys' VO 2peak prediction was designed with variables such as age, BMI and resting heart rate (SEE = 3.59 mL/kg/min, R 2 = 0.712, P<0.001). The estimated VO 2peak from equations had a significant correlation with the obtained criterion value. (R = 0.707 -0.730, P<0.01). Conclusion:According to the results of the present study, it is possible to use aerobic capacity estimation equations, is a simple, accurate, safe tool in assessing the baseline cardiorespiratory fitness (VO 2peak ). The use of non-Exercise equations in the planning of exercise in large populations of adolescent boys and even as a daily clinical practice in the elderly and heart patients with the goals of promoting health, cardiovascular health, preventive actions is very important.

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Work Form Affects Maximum Oxygen Uptake for One Year in Workers

Cited by 2 publications

References 24 publications

Factors Associated with Cardiorespiratory Fitness in a Swiss Working Population

Factors Associated with Cardiorespiratory Fitness in a Swiss Working Population

Design and Validation of Non-Exercise Equations for Estimation of Aerobic Capacity in Iranian Boys

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