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The effects of intentional weight loss as a latent variable problem
Christopher S Coffey1, Gary L Gadbury, Kevin R Fontaine
1Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Statistics in Medicine
|February 18, 2005
Summary
Intentional weight loss (IWL) effects on mortality are complex. This study differentiates IWL from unintentional weight loss, proposing a method to estimate IWL
Area of Science:
- Obesity and Mortality Research
- Weight Management Science
Background:
- Obesity is linked to higher mortality, but weight loss benefits remain debated.
- Previous studies often conflate intentional and unintentional weight loss, complicating mortality analyses.
- Weight loss can be an indicator of underlying illness, necessitating careful distinction.
Purpose of the Study:
- To differentiate the mortality associations of intentional weight loss (IWL) from unintentional weight loss.
- To address the unobservable nature of IWL's true effect on mortality.
- To develop a method for estimating the plausible range of IWL's impact on mortality rates.
Main Methods:
- Theoretical analysis to distinguish between weight loss in those intending to lose weight and IWL.
- Development of a novel methodological framework under specific, restrictive assumptions.
- Application of the derived method to a mouse model dataset involving calorie restriction.
Main Results:
- Demonstrates that the association between mortality and weight loss differs for intentional versus unintentional weight loss.
- Highlights that the true effect of IWL on mortality is inherently unobservable.
- Provides a framework for estimating the potential range of IWL's mortality impact.
Conclusions:
- Current conclusions on IWL and mortality may be flawed due to conflation with unintentional weight loss.
- A new method offers a way to better estimate the true impact of intentional weight loss on mortality.
- Further research is needed to refine understanding of intentional weight loss and its health outcomes.