Annals of Behavioral Medicine

, 18:280

Methodological issues in weight cycling

  • Gary Cutter
  • Sachiko Jeor
  • Robert Brunner
  • Pam Wolfe
  • John Foreyt
  • Alan Dyer
  • Kelly D. Brownell
Reviews

DOI: 10.1007/BF02895290

Cite this article as:
Cutter, G., Jeor, S., Brunner, R. et al. Ann Behav Med (1996) 18: 280. doi:10.1007/BF02895290

Abstract

Recent studies have suggested that weight changes may be related to disease risk independent of weight status. A critical step in testing this assertion is the measurement of weight change and so-called “weight cycling”. However intuitive the concept of weight cycling may appear, research in this area is hampered by complex methodological issues. This article discusses various measures of nominal weight cycling, including the standard deviation, coefficient of variation, regression techniques, and cycles. A cycle is a sequence of a gain followed by a loss or vice versa. The various measures are compared in seven hypothetical cases created to illustrate their strengths and weaknesses. Superior performance of the cycles measure over the coefficient of variation, number of fluctuations, and simple regression methods is argued. The linkage of the cycles measure with the statistical theory of runs also provides a basis for testing the significance of weight fluctuations or other variables that may cycle, such as blood lipids, etc. The cycles measure and runs test provide a viable definition for identifying weight cycling and a tool for evaluating the critical amount of weight gained and/or lost in relationship to risk.

Copyright information

© The Society of Behavioral Medicine 1996

Authors and Affiliations

  • Gary Cutter
    • 1
  • Sachiko Jeor
    • 2
  • Robert Brunner
    • 2
  • Pam Wolfe
    • 1
  • John Foreyt
    • 3
  • Alan Dyer
    • 4
  • Kelly D. Brownell
    • 5
  1. 1.Division of BiostatisticsAMC Cancer Research CenterDenverUSA
  2. 2.University of Nevada School of MedicineUSA
  3. 3.Baylor College of MedicineHoustonUSA
  4. 4.Northwestern University Medical SchoolEvanstonUSA
  5. 5.Yale UniversityNew HavenUSA