The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
The Obesity Epidemic: Pathophysiology and Consequences of Obesity
Open accessAbstract
Obesity has reached epidemic proportions in the United States: more than 20% of adults are clinically obese as defined by a body mass index of 30 kg/m 2 or higher, and an additional 30% are overweight. Environmental, behavioral, and genetic factors have been shown to contribute to the development of obesity. Elevated body mass index, particularly caused by abdominal or upper‐body obesity, has been associated with a number of diseases and metabolic abnormalities, many of which have high morbidity and mortality. These include hyperinsulinemia, insulin resistance, type 2 diabetes, hypertension, dyslipidemia, coronary heart disease, gallbladder disease, and certain malignancies. This underscores the importance of identifying people at risk for obesity and its related disease states.
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Cites
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Weight gain as a risk factor for clinical diabetes mellitus in women
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MethodObesity, Fat Distribution, and Weight Gain as Risk Factors for Clinical Diabetes in Men
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An Adoption Study of Human Obesity
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Reduced Rate of Energy Expenditure as a Risk Factor for Body-Weight Gain
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Cited by
Romero-Corral, A., Montori, V. M., Somers, V. K., Korinek, J., Thomas, R. J., Allison, T. G., Mookadam, F., & Lopez-Jimenez, F. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69251-9 · Cited by 1,652
Accuracy of body mass index in diagnosing obesity in the adult general population
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Supermarkets, Other Food Stores, and Obesity
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Metadata
- Authors
- Pi‐Sunyer, F. X.
- Venue
- Obesity Research
- Publisher
- Wiley
- Published
- 2002-12
- Volume
- 10
- Issue
- S12
- Pages
- 97S-104S
- ISSN
- 1071-7323 (ISSN-L)
- 1550-8528
- OpenAlex
- W1998696106
- Cited by
- 858
- References
- 12
- FWCI
- 20.33
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
