Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/7208
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dc.contributor.authorGOEL, PRANAYen_US
dc.contributor.editorRao, Arni S.R. Srinivasaen_US
dc.contributor.editorPyne, Saumyadiptaen_US
dc.contributor.editorRao, C.R.en_US
dc.date.accessioned2022-06-24T11:02:46Z-
dc.date.available2022-06-24T11:02:46Z-
dc.date.issued2017-01en_US
dc.identifier.citationHandbook of Statistics, 36, 369-395.en_US
dc.identifier.isbn978-0-444-63968-4en_US
dc.identifier.isbn978-3-030-30402-7en_US
dc.identifier.urihttps://www.sciencedirect.com/science/article/abs/pii/S0169716117300081en_US
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/7208-
dc.description.abstractType 2 diabetes is a chronic, lifestyle disease that has been known for millennia. In recent times, however, it has spread to alarming epidemic levels, presumably as a result of poor nutrition and lack of physical activity in the modern world, among other factors. Diabetes is characterized by elevated blood glucose, especially in later stages. Complications arising out of diabetes affect several organ systems including blood vessels, eyes, kidneys, and nerves; these are especially devastating in the absence of sustained glucose management. The aim of this chapter is to introduce key aspects of theoretical research into diabetes that are likely to find application in medicine and public health. We first highlight classical models of glucose homeostasis which have been a mainstay not only in theoretical research but also clinical assessment for several decades. New developments include novel models of weight change in obesity, which is very closely associated with diabetes. Data science techniques have recently shown promise for the personalization of nutrition. However, models that simultaneously address glucose management as well as weight loss are not yet mature. Finally, causal theories of the development of diabetes have recently been investigated with renewed vigor. These will eventually lead away from a narrow glucocentric view of diabetes, toward a comprehensive appreciation of the multifactorial spectrum of maladaptations that truly define the disease.en_US
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.subjectType 2 diabetesen_US
dc.subjectGlucose homeostasisen_US
dc.subjectDiabetogenesisen_US
dc.subjectObesityen_US
dc.subjectPersonalized nutritionen_US
dc.subjectCaloric reduction modelsen_US
dc.subjectData scienceen_US
dc.subject2017en_US
dc.titleTheoretical Advances in Type 2 Diabetesen_US
dc.typeBook chapteren_US
dc.contributor.departmentDept. of Biologyen_US
dc.title.bookHandbook of Statisticsen_US
dc.identifier.doihttps://doi.org/10.1016/bs.host.2017.07.001en_US
dc.identifier.sourcetitleHandbook of Statistics, 36en_US
dc.publication.originofpublisherForeignen_US
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