Literature DB >> 15717333

The effects of intentional weight loss as a latent variable problem.

Christopher S Coffey1, Gary L Gadbury, Kevin R Fontaine, Chenxi Wang, Richard Weindruch, David B Allison.   

Abstract

Although obesity is associated with increased mortality rate and short-term weight loss improves risk factors for mortality, it has not been convincingly shown that weight loss among obese people results in reduced mortality rate. When considering the human literature, it has been pointed out that weight loss is often a sign of illness and that investigators therefore need to separate intentional from unintentional weight loss. It has generally been assumed that among people who state that they do not intend to lose weight, weight change subsequently observed is unintentional. Among such people, weight loss has been consistently associated with increased mortality rate. Complementarily, it has generally been assumed that among people who state that they do intend to lose weight, weight change subsequently observed is intentional. In these people who are intending to lose weight, some studies show apparent benefits of weight loss, some are neutral, and some show deleterious effects. The overall conclusion that some reviewers have drawn from this literature is that intentional weight loss (IWL) is at best not beneficial and may even be harmful with respect to mortality rate. We believe that this conclusion is drawn by inappropriately conflating weight loss (or more generally weight change) among people intending to lose weight with IWL (or change). Herein, under certain assumptions, we: (1) show that the association between mortality rate and weight loss among people intending to lose weight and between mortality rate and IWL are two different things; (2) show that the association between IWL and mortality rate is an inherently unobservable entity; (3) derive a method for estimating the plausible range of true effect of IWL on mortality rate if one is willing to make a number of restrictive, but perhaps reasonable assumptions; and (4) illustrate the method by application to a data set involving middle-age onset calorie restriction in mice.

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Mesh:

Year:  2005        PMID: 15717333     DOI: 10.1002/sim.1964

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  13 in total

1.  Application of potential outcomes to an intentional weight loss latent variable problem.

Authors:  Gary L Gadbury; Thidaporn Supapakorn; Christopher S Coffey; Scott W Keith; David B Allison
Journal:  Stat Interface       Date:  2008       Impact factor: 0.582

Review 2.  Impact of weight cycling on risk of morbidity and mortality.

Authors:  T Mehta; D L Smith; J Muhammad; K Casazza
Journal:  Obes Rev       Date:  2014-09-29       Impact factor: 9.213

Review 3.  Weighing the Evidence of Common Beliefs in Obesity Research.

Authors:  Krista Casazza; Andrew Brown; Arne Astrup; Fredrik Bertz; Charles Baum; Michelle Bohan Brown; John Dawson; Nefertiti Durant; Gareth Dutton; David A Fields; Kevin R Fontaine; Steven Heymsfield; David Levitsky; Tapan Mehta; Nir Menachemi; P K Newby; Russell Pate; Hollie Raynor; Barbara J Rolls; Bisakha Sen; Daniel L Smith; Diana Thomas; Brian Wansink; David B Allison
Journal:  Crit Rev Food Sci Nutr       Date:  2015       Impact factor: 11.176

4.  Clinical Experience of a Diet Designed to Reduce Aging.

Authors:  Ron Rosedale; Eric C Westman; John P Konhilas
Journal:  J Appl Res       Date:  2009-01-01

5.  Canaries in the coal mine: a cross-species analysis of the plurality of obesity epidemics.

Authors:  Yann C Klimentidis; T Mark Beasley; Hui-Yi Lin; Giulianna Murati; Gregory E Glass; Marcus Guyton; Wendy Newton; Matthew Jorgensen; Steven B Heymsfield; Joseph Kemnitz; Lynn Fairbanks; David B Allison
Journal:  Proc Biol Sci       Date:  2010-11-24       Impact factor: 5.349

6.  Body mass index, weight loss, and mortality in community-dwelling older adults.

Authors:  Julie L Locher; David L Roth; Christine S Ritchie; Kimberly Cox; Patricia Sawyer; Eric V Bodner; Richard M Allman
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2007-12       Impact factor: 6.053

7.  Weight change, body composition, and risk of mobility disability and mortality in older adults: a population-based cohort study.

Authors:  Rachel A Murphy; Kushang V Patel; Stephen B Kritchevsky; Denise K Houston; Anne B Newman; Annemarie Koster; Eleanor M Simonsick; Frances A Tylvasky; Peggy M Cawthon; Tamara B Harris
Journal:  J Am Geriatr Soc       Date:  2014-07-15       Impact factor: 5.562

8.  Prevalence and Trends in Lifetime Obesity in the U.S., 1988-2014.

Authors:  Andrew Stokes; Yu Ni; Samuel H Preston
Journal:  Am J Prev Med       Date:  2017-09-05       Impact factor: 5.043

9.  Bayesian Analysis of the Effect of Intentional Weight Loss on Mortality Rate.

Authors:  Nengjun Yi; Shouluan Ding; Scott W Keith; Christopher S Coffey; David B Allison
Journal:  Int J Body Compos Res       Date:  2008

10.  Changes in waist circumference and mortality in middle-aged men and women.

Authors:  Tina Landsvig Berentzen; Marianne Uhre Jakobsen; Jytte Halkjaer; Anne Tjønneland; Kim Overvad; Thorkild I A Sørensen
Journal:  PLoS One       Date:  2010-09-30       Impact factor: 3.240

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