IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i16p5861-d398265.html
   My bibliography  Save this article

Association of Fitness and Fatness with Clustered Cardiovascular Disease Risk Factors in Nigerian Adolescents

Author

Listed:
  • Danladi I. Musa

    (Department of Human Kinetics and Health Education, Kogi State University, Anyigba 272102, Nigeria)

  • Abel L. Toriola

    (Department of Sport, Rehabilitation and Dental Sciences, Tshwane University of Technology, Pretoria 0001, South Africa)

  • Daniel T. Goon

    (Faculty of Health Sciences, University of forte Hare, East London 5201, South Africa)

  • Sunday U. Jonathan

    (Department of Human Kinetics and Health Education, Ibrahim BadamasiBabangida University, Lapai 911101, Nigeria)

Abstract

Purpose : This study examinedthe independent and joint association of fitness and fatness with clustered cardiovascular disease risk (CVDrs) in 11–18 year-old Nigerian adolescents. Methods : A hundred and ninety seven adolescents (100 girls and 97 boys) were evaluated forfitness, fatness and CVDrs. Fitness was evaluated with the progressive aerobic cardiovascular endurance run test while fatness was assessed using body mass index. A clustered CVDrs was computed from the standardized residuals of total cholesterol, high density lipoprotein cholesterol, Low density lipoprotein cholesterol, triglycerides, plasma glucose, systolic blood pressure, and diastolic blood pressure. Regression models controlling for waist circumference assessed the association of fitness and fatness with CVDrs. Results : Prevalence of clustered CVD risk was 7.1% (girls = 3.0%; boys = 4.1%). Based on risk factor abnormalities, 52.8% of participants had one or more CVD risk factor abnormalities with more boys (27.4%) affected. Low fitness was associated with clustered CVDrs in both girls (R 2 = 9.8%, β = −0.287, p = 0.05) and boys (R 2 = 17%, β = −0.406, p < 0.0005). Fatness was not associated with the CVDrs in both sexes. After controlling for all the variables in the model, only fitness (R 2 = 10.4%) and abdominal fat (R 2 = 19.5%) were associated with CVDrs respectively. Unfit girls were 3.2 (95% CI = 1.31–7.91, p = 0.011) times likely to develop CVD risk abnormality compared to their fit counterparts. The likelihood of unfit boys developing CVD risk abnormality was 3.9 (95% CI = 1.15–10.08, p = 0.005) times compared to their fit peers. Conclusions : Fitness but not fatness was a better predictor of CVDrs in Nigerian boys and girls. The result of this study suggests that any public health strategies aimed at preventing or reversing the increasing trends of CVD risk in adolescents should emphasize promotion of aerobic fitness.

Suggested Citation

  • Danladi I. Musa & Abel L. Toriola & Daniel T. Goon & Sunday U. Jonathan, 2020. "Association of Fitness and Fatness with Clustered Cardiovascular Disease Risk Factors in Nigerian Adolescents," IJERPH, MDPI, vol. 17(16), pages 1-10, August.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:16:p:5861-:d:398265
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/16/5861/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/16/5861/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Siphesihle Nqweniso & Cheryl Walter & Rosa du Randt & Larissa Adams & Johanna Beckmann & Jan Degen & Stefanie Gall & Nandi Joubert & Christin Lang & Kurt Z. Long & Ivan Müller & Madeleine Nienaber & U, 2021. "Physical Activity, Cardiorespiratory Fitness and Clustered Cardiovascular Risk in South African Primary Schoolchildren from Disadvantaged Communities: A Cross-Sectional Study," IJERPH, MDPI, vol. 18(4), pages 1-13, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:16:p:5861-:d:398265. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.