IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v14y2017i2p210-d91037.html
   My bibliography  Save this article

Association of Sleep Duration, Sleep Quality and Shift-Work Schedule in Relation to Hypertension Prevalence in Chinese Adult Males: A Cross-Sectional Survey

Author

Listed:
  • Kai Lu

    (Department of Cardiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400042, China)

  • Jia Chen

    (Department of Clinical Nutrition, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400042, China)

  • Li Wang

    (Department of Cardiology, Yong Chuan Hospital, Chongqing Medical University, Chongqing 400042, China)

  • Changying Wang

    (Department of Cardiology, Tangdu Hospital, Fourth Military Medical University, Xi’an 710038, China)

  • Rongjing Ding

    (Heart Center, Peking University People’s Hospital, Beijing 100044, China)

  • Shouling Wu

    (Kailuan General Hospital, Hebei United University, Tangshan 100816, China)

  • Dayi Hu

    (Department of Cardiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400042, China)

Abstract

Background: Previous studies indicated that measurement of sleep only by duration and quality may be biased. This study aimed to investigate the interactive association of self-reported sleep duration, quality and shift-work schedule with hypertension prevalence in Chinese adult males. Methods: A total of 4519 Chinese adult males (≥18 years) were enrolled into the cross-sectional survey. Sleep attributes were measured from the responses to the standard Pittsburgh Sleep Quality Index and relevant questions in a structured questionnaire survey. The association of sleep duration, quality and shift-work schedule with hypertension prevalence was analyzed using multivariate logistic regression, considering the interaction between them or not. Results: Taking the potential interaction of the three aspects of sleep into consideration, only short sleep duration combined with poor sleep quality was found to be related to hypertension prevalence in Chinese adult males (odds ratio (OR): 1.74, 95% confidence interval (CI): 1.31–2.31), which could be modified by occasional and frequent shift-work schedule (OR: 1.43, 95% CI: 1.05–1.95; OR: 1.97, 95% CI: 1.40–2.79). Conclusions: Short sleep duration was not associated with the prevalence of hypertension in Chinese adult males unless poor sleep quality exists, which could be further modified by shift-work schedule. Assessment of sleep by measuring sleep duration only was not sufficient when exploring the association of sleep with hypertension.

Suggested Citation

  • Kai Lu & Jia Chen & Li Wang & Changying Wang & Rongjing Ding & Shouling Wu & Dayi Hu, 2017. "Association of Sleep Duration, Sleep Quality and Shift-Work Schedule in Relation to Hypertension Prevalence in Chinese Adult Males: A Cross-Sectional Survey," IJERPH, MDPI, vol. 14(2), pages 1-12, February.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:2:p:210-:d:91037
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/14/2/210/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/14/2/210/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Carla Sfreddo & Sandra Costa Fuchs & Álvaro Roberto Merlo & Flávio Danni Fuchs, 2010. "Shift Work Is Not Associated with High Blood Pressure or Prevalence of Hypertension," PLOS ONE, Public Library of Science, vol. 5(12), pages 1-5, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tomasz Sobierajski & Stanisław Surma & Monika Romańczyk & Maciej Banach & Suzanne Oparil, 2023. "Knowledge of Primary Care Patients Living in the Urban Areas about Risk Factors of Arterial Hypertension," IJERPH, MDPI, vol. 20(2), pages 1-17, January.
    2. Yanjun Guo & Yuewei Liu & Xiji Huang & Yi Rong & Meian He & Youjie Wang & Jing Yuan & Tangchun Wu & Weihong Chen, 2013. "The Effects of Shift Work on Sleeping Quality, Hypertension and Diabetes in Retired Workers," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-6, August.
    3. Jaymen L. Elliott & Sara Lal, 2016. "Blood Pressure, Sleep Quality and Fatigue in Shift Working Police Officers: Effects of a Twelve Hour Roster System on Cardiovascular and Sleep Health," IJERPH, MDPI, vol. 13(2), pages 1-8, January.
    4. Sara Gamboa Madeira & Carina Fernandes & Teresa Paiva & Carlos Santos Moreira & Daniel Caldeira, 2021. "The Impact of Different Types of Shift Work on Blood Pressure and Hypertension: A Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 18(13), pages 1-19, June.

    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:14:y:2017:i:2:p:210-:d:91037. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.