The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.
Insulin resistance and obesity in childhood
Abstract
Childhood obesity is a significant health problem that has reached epidemic proportions around the world and is associated with several metabolic and cardiovascular complications. Insulin resistance is a common feature of childhood obesity and is considered to be an important link between adiposity and the associated risk of type 2 diabetes and cardiovascular disease. Insulin resistance is also a key component of the metabolic syndrome, and its prevalence in the paediatric population is increasing, particularly among obese children and adolescents. Several factors are implicated in the pathogenesis of obesity-related insulin resistance, such as increased free fatty acids and many hormones and cytokines released by adipose tissue. Valid and reliable methods are essential to assess the presence and the extent of insulin resistance, the associated risk factors and the effect of pharmacological and lifestyle interventions. The two most common tests to assess insulin resistance are the hyperinsulinemic euglycemic clamp and the frequently sampled i.v. glucose tolerance test utilizing the minimal model. However, both these tests are not easily accomplished, are time consuming, expensive and invasive. Simpler methods to assess insulin resistance based on surrogate markers derived from an oral glucose tolerance test or from fasting insulin and glucose levels have been validated in children and adolescents and widely used. Given the strong association between obesity, insulin resistance and the development of metabolic syndrome and cardiovascular disease, prevention and treatment of childhood obesity appear to be essential to prevent the development of insulin resistance and the associated complications.
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Citations
Cites
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Cited by
Rector, R. S., Thyfault, J. P., Uptergrove, G. M., Morris, E. M., Naples, S. P., Borengasser, S. J., Mikus, C. R., Laye, M. J., Laughlin, M. H., Booth, F. W., et al. (2010) · Journal of Hepatology · doi:10.1016/j.jhep.2009.11.030 · Cited by 488
Toward a unifying hypothesis of metabolic syndrome
Bremer, A. A., Mietus-Snyder, M., & Lustig, R. H. (2012) · PEDIATRICS · doi:10.1542/peds.2011-2912 · Cited by 186
Association of Short and Long Sleep Durations with Insulin Sensitivity in Adolescents
Javaheri, S., Storfer-Isser, A., Rosen, C. L., & Redline, S. (2011) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2010.09.080 · Cited by 139
Kondaki, K., Grammatikaki, E., Jiménez-Pavón, D., De Henauw, S., González-Gross, M., Sjöstrom, M., Gottrand, F., Molnar, D., Moreno, L. A., Kafatos, A., et al. (2013) · Public Health Nutrition · doi:10.1017/s1368980012002613 · Cited by 48
Chen, T., Wang, F., Chu, Z., Shi, X., Sun, L., Lv, H., Zhou, W., Shen, J., Chen, L., & Hou, M. (2019) · Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy · doi:10.2147/dmso.s222066 · Cited by 13
Metadata
- Authors
- Chiarelli, F., & Marcovecchio, M. L.
- Venue
- European Journal of Endocrinology
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-12
- Volume
- 159
- Issue
- suppl_1
- Pages
- S67-S74
- ISSN
- 0804-4643 (ISSN-L)
- 1479-683X
- OpenAlex
- W2108785796
- Cited by
- 285
- References
- 87
- FWCI
- 11.33
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
