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‘Small Changes' to Diet and Physical Activity Behaviors for Weight Management
Open accessAbstract
Obesity is associated with numerous short- and long-term health consequences. Low levels of physical activity and poor dietary habits are consistent with an increased risk of obesity in an obesogenic environment. Relatively little research has investigated associations between eating and activity behaviors by using a systems biology approach and by considering the dynamics of the energy balance concept. A significant body of research indicates that a small positive energy balance over time is sufficient to cause weight gain in many individuals. In contrast, small changes in nutrition and physical activity behaviors can prevent weight gain. In the context of weight management, it may be more feasible for most people to make small compared to large short-term changes in diet and activity. This paper presents a case for the use of small and incremental changes in diet and physical activity for improved weight management in the context of a toxic obesogenic environment.
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Physical activity levels and determinants of change in young adults: a longitudinal panel study
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Exercise, cognition, and the adolescent brain
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Gender gap in health expectancy
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Use of Mobile Phone App Interventions to Promote Weight Loss: Meta-Analysis
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Physical Activity and Modernization among Bolivian Amerindians
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Pathological overeating: emerging evidence for a compulsivity construct
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Is regular exercise an effective strategy for weight loss maintenance?
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Metadata
- Authors
- Hills, A. P., Byrne, N. M., Lindstrom, R., & Hill, J. O.
- Venue
- Obesity Facts
- Publisher
- S. Karger AG
- Published
- 2013
- Volume
- 6
- Issue
- 3
- Pages
- 228-238
- ISSN
- 1662-4025 (ISSN-L)
- 1662-4033
- OpenAlex
- W2040106495
- Cited by
- 9,493
- References
- 24
- FWCI
- 540.86
- Type
- journal article
- Language
- en
- Open access
- gold
- Licence
- creativecommons.org/licenses/by-nc/3.0/ (vor)
- creativecommons.org/licenses/by-nc/3.0/ (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.