The Clinical and Nonclinical Values of Nonexercise Estimation of Cardiovascular Endurance in Young Asymptomatic Individuals

Author:

Alomari Mahmoud A.1,Shqair Dana M.2,Khabour Omar F.3,Alawneh Khaldoon45,Nazzal Mahmoud I.167,Keewan Esraa F.8

Affiliation:

1. Division of Physical Therapy, Department of Rehabilitation Sciences, Jordan University of Science and Technology, Irbid 22110, Jordan

2. Department of Nutrition and Food Technology, Jordan University of Science and Technology, Irbid 22110, Jordan

3. Department of Medical Laboratory Sciences, Jordan University of Science and Technology, Irbid 22110, Jordan

4. Department of Internal Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid 22110, Jordan

5. Division of Rheumatology, Department of Medicine, King Abdulla Hospital, Irbid 22110, Jordan

6. Department of Rehabilitation Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid 22110, Jordan

7. Department of Rehabilitation Medicine, King Abdulla Hospital, Irbid 22110, Jordan

8. Department of Physiology, Faculty of Medicine, Jordan University of Science and Technology, Irbid 22110, Jordan

Abstract

Exercise testing is associated with barriers prevent using cardiovascular (CV) endurance (CVE) measure frequently. A recent nonexercise model (NM) is alleged to estimate CVE without exercise. This study examined CVE relationships, using the NM model, with measures of obesity, physical fitness (PF), blood glucose and lipid, and circulation in 188 asymptomatic young (18–40 years) adults. Estimated CVE correlated favorably with measures of PF (r=0.4-0.5) including handgrip strength, distance in 6 munities walking test, and shoulder press, and leg extension strengths, obesity (r=0.2-0.7) including % body fat, body water content, fat mass, muscle mass, BMI, waist and hip circumferences and waist/hip ratio, and circulation (r=0.2-0.3) including blood pressures, blood flow, vascular resistance, and blood (r=0.2-0.5) profile including glucose, total cholesterol, LDL-C, HDL-C, and triglycerides. Additionally, differences (P<0.05) in examined measures were found between the high, average, and low estimated CVE groups. Obviously the majority of these measures are CV disease risk factors and metabolic syndrome components. These results enhance the NM scientific value, and thus, can be further used in clinical and nonclinical settings.

Funder

Jordan University of Science and Technology

Publisher

Hindawi Limited

Subject

General Environmental Science,General Biochemistry, Genetics and Molecular Biology,General Medicine

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