IDEAS home Printed from https://ideas.repec.org/a/sae/clnure/v28y2019i6p676-691.html
   My bibliography  Save this article

Predictive Capacity and Cutoff Value of Waist-to-Height Ratio in the Incidence of Metabolic Syndrome

Author

Listed:
  • Manuel Romero-Saldaña
  • Francisco J. Fuentes-Jiménez
  • Manuel Vaquero-Abellán
  • Carlos à lvarez-Fernández
  • María Dolores Aguilera-López
  • Guillermo Molina-Recio

Abstract

The purpose of this study was to compare the predictive ability of waist-to-height ratio (WHtR) compared with other anthropometric indicators in the incidence of metabolic syndrome (MetS) and to propose cutoff values for its early detection in nursing practice. A longitudinal cohort study was conducted on a sample of 630 workers (137 exposed and 493 nonexposed), free of MetS at baseline. WHtR was compared with body mass index (BMI), waist circumference (WC), and the percentage of body fat (BF%). In the Cox regression, the adjusted values of hazard ratio (HR) were 5.4 (confidence interval [CI] = [3.1, 9.5]) for WHtR and 7.4 (CI = [3.7, 14.9]) for components of MetS. WHtR obtained the largest area under the curve 0.82 (CI = [0.76, 0.88]), and with a cutoff value of 0.54, values were obtained for sensitivity (70%) and specificity (77%). WHtR was the best predictor of incidence of MetS, with a cutoff value of 0.54. Nursing can improve the early detection of MetS by measuring WHtR.

Suggested Citation

  • Manuel Romero-Saldaña & Francisco J. Fuentes-Jiménez & Manuel Vaquero-Abellán & Carlos à lvarez-Fernández & María Dolores Aguilera-López & Guillermo Molina-Recio, 2019. "Predictive Capacity and Cutoff Value of Waist-to-Height Ratio in the Incidence of Metabolic Syndrome," Clinical Nursing Research, , vol. 28(6), pages 676-691, July.
    • Handle: RePEc:sae:clnure:v:28:y:2019:i:6:p:676-691
    DOI: 10.1177/1054773817740533
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1054773817740533
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1054773817740533?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Manuel Vaquero Alvarez & Pilar Aparicio-Martinez & Francisco Javier Fonseca Pozo & Joaquín Valle Alonso & Isabel María Blancas Sánchez & Manuel Romero-Saldaña, 2020. "A Sustainable Approach to the Metabolic Syndrome in Children and Its Economic Burden," IJERPH, MDPI, vol. 17(6), pages 1-18, March.

    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:sae:clnure:v:28:y:2019:i:6:p:676-691. 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: SAGE Publications (email available below). General contact details of provider: .

    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.