# Systems Science and the Dieting Paradox: Investigating the Complex Mechanisms through which Dieting Influences Obesity and Eating Disorder Risk

> **NIH NIH R21** · UNIVERSITY OF MINNESOTA · 2020 · $192,500

## Abstract

Obesity and disordered eating (e.g., binge eating, unhealthy weight control behaviors) are complex, inter-
related public health problems. The role of dieting in the etiology of obesity and disordered eating is
controversial. Although dieting in the context of behavioral weight loss interventions can lead to clinically
significant weight and binge eating reductions, dieting is also a robust risk factor for obesity and disordered
eating. This “dieting paradox” presents a challenge for developing and disseminating public health messages
and interventions that prevent and treat obesity and disordered eating. Given potential adverse consequences
of dieting and the fact that a failure to implement strategies to address obesity could lead to increased
prevalence of adverse obesity-associated health consequences (e.g., diabetes), it is critical to move beyond a
“one size fits all” approach and identify which strategies should be promoted, for whom, and under what
circumstances. Untangling the “dieting paradox” and developing effective tailored and/or targeted interventions
requires a better understanding of the heterogeneity of dieting. For example, many people who endorse dieting
do not reduce their caloric intake. Even in the absence of energy intake reductions, however, dieting can be
associated with adverse affective consequences and binge eating. To date, research addressing this
heterogeneity has not fully leveraged mathematical and computational tools that account for the complexity
inherent in the interplay between these weight-related behaviors, cognitions, affective experiences, and health.
Moreover, few longitudinal studies have sufficient depth and breadth to comprehensively examine how
different dieting patterns are associated with weight and disordered eating trajectory variations. To address
these paradoxical issues around dieting, disordered eating, and obesity and inform interventions in school,
healthcare, and community settings, this project will use data from the Project EAT studies and the advantages
offered by combining two powerful computational approaches, topological data analysis (TDA) and agent
based modeling (ABM). Project EAT is uniquely suited for this study given its long-term follow-up over critical
life course periods and comprehensive assessment of variables relevant to obesity and disordered eating. TDA
will be utilized to characterize different “dieting paradox” sub-groups using self-reported dieting, as well as
weight-related behavioral and psychological variables, and to examine their association with disordered eating
and weight status during the adolescent-to-adult transition. The TDA results will be utilized to develop, test,
and validate ABMs that will serve as virtual laboratories to test etiologic hypotheses and potential intervention
solutions. Utilizing these cutting edge approaches, the overarching goal of this work is to better characterize
the complexity and clinically meaningful heterogeneity across the ...

## Key facts

- **NIH application ID:** 9976799
- **Project number:** 1R21DK121242-01A1
- **Recipient organization:** UNIVERSITY OF MINNESOTA
- **Principal Investigator:** NANCY E. SHERWOOD
- **Activity code:** R21 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $192,500
- **Award type:** 1
- **Project period:** 2020-04-06 → 2022-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9976799

## Citation

> US National Institutes of Health, RePORTER application 9976799, Systems Science and the Dieting Paradox: Investigating the Complex Mechanisms through which Dieting Influences Obesity and Eating Disorder Risk (1R21DK121242-01A1). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/9976799. Licensed CC0.

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