IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v22y2025i6p904-d1673137.html
   My bibliography  Save this article

Statistical and Machine Learning Modeling of Psychological, Sociodemographic, and Physical Activity Factors Associated with Weight Regain After Bariatric Surgery

Author

Listed:
  • Nélio Barreto Vieira

    (Postgraduate Program in Health Sciences, Centro Universitário FMABC, Santo André 09060-870, SP, Brazil)

  • Paulo Felipe Ribeiro Bandeira

    (Study, Assessment and Research Group on Motor Assessment-GEAPAM, Department of Biological Sciences and Health, Universidade Regional do Cariri-URCA, Crato 63105-010, CE, Brazil)

  • Danilo Ferreira de Sousa

    (Postdoctoral Program, Universidade Federal de São Paulo, São Paulo 04021-001, SP, Brazil)

  • Gyllyandeson de Araújo Delmondes

    (Department of Nursing Collegiate, Federal University of the São Francisco Valley-UNIVASF, Petrolina 56304-917, PE, Brazil)

  • Jucier Gonçalves Júnior

    (Faculdade de Medicina, Universidade Federal do Cariri (UFCA), Barbalha 63048-080, CE, Brazil)

  • Victor Zaia

    (Postgraduate Program in Health Sciences, Centro Universitário FMABC, Santo André 09060-870, SP, Brazil)

Abstract

Objective: This study aimed to investigate the associations between weight regain and psychological, sociodemographic, and physical activity factors in post-bariatric surgery patients using statistical modeling. Methods: A cross-sectional, single-center quantitative study was conducted in accordance with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) and Checklist for Reporting Results of Internet E-Surveys (CHERRIES) guidelines. A total of 124 patients who underwent bariatric surgery at least 18 months prior were included. Psychological variables were assessed using validated instruments. Results: In the adjusted Poisson regression model, the most significant predictors of weight regain were binge eating severity (prevalence ratio [PR] = 2.41; 95% confidence interval [CI]: 1.75–3.26; p < 0.001), stress levels (PR = 1.92; 95% CI: 1.45–2.79; p = 0.002), negative affectivity (PR = 1.67; 95% CI: 1.29–2.24; p = 0.004), and physical inactivity (PR = 1.58; 95% CI: 1.21–2.41; p = 0.005). In contrast, anxiety (PR = 1.19; 95% CI: 0.87–1.63; p = 0.214) and psychoticism (PR = 1.12; 95% CI: 0.83–1.57; p = 0.278) showed no statistically significant associations. Conclusion: The results highlight the importance of binge eating severity, stress, negative affectivity, and physical inactivity as major contributors to weight regain after bariatric surgery.

Suggested Citation

  • Nélio Barreto Vieira & Paulo Felipe Ribeiro Bandeira & Danilo Ferreira de Sousa & Gyllyandeson de Araújo Delmondes & Jucier Gonçalves Júnior & Victor Zaia, 2025. "Statistical and Machine Learning Modeling of Psychological, Sociodemographic, and Physical Activity Factors Associated with Weight Regain After Bariatric Surgery," IJERPH, MDPI, vol. 22(6), pages 1-21, June.
  • Handle: RePEc:gam:jijerp:v:22:y:2025:i:6:p:904-:d:1673137
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/22/6/904/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/22/6/904/
    Download Restriction: no
    ---><---

    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:22:y:2025:i:6:p:904-:d:1673137. 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.