Advertisement

Predictors of weight regain in patients who underwent Roux-en-Y gastric bypass surgery: Methodological issues

  • Reza Pakzad
    Affiliations
    Department of Epidemiology, Faculty of Health, Ilam University of Medical Sciences, Ilam, Iran
    Search for articles by this author
  • Saeid Safiri
    Affiliations
    Managerial Epidemiology Research Center, Department of Public Health, School of Nursing and Midwifery, Maragheh University of Medical Sciences, Maragheh, Iran

    Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
    Search for articles by this author
Published:January 03, 2017DOI:https://doi.org/10.1016/j.soard.2016.12.028
      To the Editor:
      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to Surgery for Obesity and Related Diseases
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • Shantavasinkul P.C.
        • Omotosho P.
        • Corsino L.
        • Portenier D.
        • Torquati A.
        Predictors of weight regain in patients who underwent Roux-en-Y gastric bypass surgery.
        Surg Obes Relat Dis. 2016; 12: 1640-1645
        • Steyerberg E.W.
        Clinical prediction models: a practical approach to development, validation, and updating.
        Springer Publishing Company, New York2009
        • Safiri S.
        • Ayubi E.
        Bone fracture nonunion rate decreases with increasing age: Bias in the prediction model.
        Bone. 2016;
        • Hosmer Jr, D.W.
        • Lemeshow S.
        • Sturdivant R.X.
        Applied logistic regression. 3rd ed. John Wiley & Sons, Hoboken (NJ)2013
        • Ayubi E.
        • Sani M.
        • Khazaei S.
        • Safiri S.
        Waist circumference compared with other obesity parameters as determinants of coronary artery disease in essential hypertension: statistical issues to avoid misinterpretation.
        Hypertension Research. 2016;
        • Ayubi E.
        • Khalili D.
        • Delpisheh A.
        • Hadaegh F.
        • Azizi F.
        Factor analysis of metabolic syndrome components and predicting type 2 diabetes: Results of 10–year follow‐up in a Middle Eastern population.
        J Diabetes. 2015; 7: 830-838

      Linked Article

      • Author’s Response
        Surgery for Obesity and Related DiseasesVol. 13Issue 7
        • Preview
          Thank you for the comment. We completely agree that using P<.1 or P<.2 would include all of the potential predictors into the model and it may be better than using P<.05 as a cut point. Actually, during the analysis, we used all of these P values as cut-off points (P<.05, P<.1, or P<.2) to explore all of the independent variables to predict weight regain after Roux-en-Y gastric bypass. However, no matter which cut-off points we used, the analysis predicted the same independent variables.
        • Full-Text
        • PDF