IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i11p2003-d237409.html
   My bibliography  Save this article

Effects of Regular Aerobic Exercise and Resistance Training on High-Density Lipoprotein Cholesterol Levels in Taiwanese Adults

Author

Listed:
  • Chun-Sheng Hsu

    (Department of Physical Medicine and Rehabilitation, Taichung Veterans General Hospital, Taichung City 40705, Taiwan
    Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City 40201, Taiwan
    Department of Rehabilitation Science, Jenteh Junior College of Medicine, Nursing and Management, Miaoli County 35664, Taiwan)

  • Shin-Tsu Chang

    (Department of Physical Medicine and Rehabilitation, Taichung Veterans General Hospital, Taichung City 40705, Taiwan
    School of Medicine, Chung Shan Medical University, Taichung City 40201, Taiwan
    Department of Physical Medicine and Rehabilitation, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei City 11490, Taiwan)

  • Oswald Ndi Nfor

    (Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City 40201, Taiwan)

  • Kuan-Jung Lee

    (Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City 40201, Taiwan)

  • Shiuan-Shinn Lee

    (Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City 40201, Taiwan)

  • Yung-Po Liaw

    (Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City 40201, Taiwan
    Department of Family and Community Medicine, Chung Shan Medical University Hospital, Taichung City 40201, Taiwan)

Abstract

Increased levels of high-density lipoprotein cholesterol (HDL-C) can improve endothelial function. This may help reduce cardiovascular risks and mortality. Evidence has been provided on the association between cardiometabolic traits, such as HDL-C and exercise modalities. However, there is the absence of studies investigating this association in Taiwan. We assessed the relationship between exercise type and HDL-C among Taiwanese adults. Data were collected from Taiwan Biobank (TWB), a national biomedical research database that contains the genetic information of ethnic Taiwanese residents gathered from 2008 to 2016. We enrolled 24,856 participants aged 30 to 70 years who completed a questionnaire about their recent health behaviors including smoking, drinking, and exercise. Regular exercise was categorized as non-aerobic exercise (separated as weight training, ball game, and mixed exercise) and strict aerobic exercise. Linear regression models were used to assess the effects of exercise in a questionnaire-based manner. After multivariate adjustments, HDL-C was positively associated with aerobic (β = 1.33748, p < 0.0001) and non-aerobic (β = 2.56210; p < 0.0001) exercise. Positive associations were also found for resistance training (β = 4.01828, p = 0.0020), ballgame (β = 2.43815, p = 0.0001), and mixed exercise (β = 2.47021, p < 0.0001). This study demonstrated that both aerobic and non-aerobic exercise have positive effects on HDL-C among Taiwanese adults. Among the non-aerobic exercise groups, resistance training had the greatest effect.

Suggested Citation

  • Chun-Sheng Hsu & Shin-Tsu Chang & Oswald Ndi Nfor & Kuan-Jung Lee & Shiuan-Shinn Lee & Yung-Po Liaw, 2019. "Effects of Regular Aerobic Exercise and Resistance Training on High-Density Lipoprotein Cholesterol Levels in Taiwanese Adults," IJERPH, MDPI, vol. 16(11), pages 1-8, June.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:11:p:2003-:d:237409
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/11/2003/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/11/2003/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Geraldo A. Maranhao Neto & Iuliia Pavlovska & Anna Polcrova & Jeffrey I. Mechanick & Maria M. Infante-Garcia & Jose Pantaleón Hernandez & Miguel A. Araujo & Ramfis Nieto-Martinez & Juan P. Gonzalez-Ri, 2021. "Prediction of Cardiorespiratory Fitness in Czech Adults: Normative Values and Association with Cardiometabolic Health," IJERPH, MDPI, vol. 18(19), pages 1-12, September.
    2. Takahisa Ohta & Junzo Nagashima & Hiroyuki Sasai & Naokata Ishii, 2019. "Relationship of Cardiorespiratory Fitness and Body Mass Index with the Incidence of Dyslipidemia among Japanese Women: A Cohort Study," IJERPH, MDPI, vol. 16(23), pages 1-9, November.

    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:16:y:2019:i:11:p:2003-:d:237409. 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.