Author
Diane T. Finegood
Other affiliations: Canadian Institutes of Health Research, University of Southern California, University of Michigan ...read more
Bio: Diane T. Finegood is an academic researcher from Simon Fraser University. The author has contributed to research in topics: Insulin & Insulin resistance. The author has an hindex of 49, co-authored 122 publications receiving 15470 citations. Previous affiliations of Diane T. Finegood include Canadian Institutes of Health Research & University of Southern California.
Papers published on a yearly basis
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TL;DR: Unlike other major causes of preventable death and disability, such as tobacco use, injuries, and infectious diseases, there are no exemplar populations in which the obesity epidemic has been reversed by public health measures, which increases the urgency for evidence-creating policy action, with a priority on reduction of the supply-side drivers.
3,817 citations
TL;DR: Evidence emerged suggesting that human diabetes mellitus has a multifactorial etiology, and larger doses of insulin were required to normalize the blood sugar in patients with the milder nonketotic form of the disease common in the older population, whereas smaller doses were adequate for younger, ketosis-prone diabetics.
Abstract: I. Origin of the Insulin Sensitivity Concept HISTORICALLY, the study of the pathogenesis of diabetes mellitus was in the traditional pattern of endocrinology: removal of the pancreas led to experimental diabetes, and administration of insulin, a pancreatic isolate, ameliorated the diabetic symptoms (1, 2). These observations led to the widely held belief that human diabetes was primarily a disease of the pancreas, characterized by the inability of the B cell to secrete sufficient insulin to control glycemia. After insulin became available, evidence emerged suggesting that human diabetes mellitus has a multifactorial etiology. Early investigators identified an unexpected variability among diabetics in the ability of injected insulin to ameliorate hyperglycemia (3–5). Larger doses of insulin were required to normalize the blood sugar in patients with the milder nonketotic form of the disease common in the older population, whereas smaller doses were adequate for younger, ketosis-prone diabetics.
1,146 citations
TL;DR: It is called for a sustained worldwide effort to monitor, prevent, and control obesity and identifies several cost-effective policies that governments should prioritise for implementation.
838 citations
TL;DR: A fasting G:I ratio may be useful as a screening test for insulin resistance in obese non-Hispanic white PCOS women and may be a clinically useful parameter for selecting women most likely to respond to therapeutic interventions that improve insulin sensitivity.
Abstract: Women with polycystic ovary syndrome (PCOS) are profoundly insulin resistant, and the resultant hyperinsulinemia exacerbates the reproductive abnormalities of the syndrome. Agents that ameliorate insulin resistance and reduce circulating insulin levels could provide a new therapeutic modality for PCOS. Identifying the subset of PCOS women who are most insulin resistant may therefore be useful for selecting women who will respond to this therapy. We examined the correlation of basal and oral glucose-stimulated glucose and insulin levels and fasting and stimulated glucose/insulin (G:I) ratios with parameters of insulin sensitivity obtained by frequently sampled i.v. glucose tolerance test (FSIGT) to assess whether there is a simple screening test for insulin resistance in PCOS. Forty PCOS women (aged 18-40 yr; body mass index, >26 kg/m2) and 15 control women matched for age, weight, and ethnicity underwent both a 75-g oral glucose tolerance test (OGTT) and a FSIGT. The insulin sensitivity index (S(I)) was calculated by application of the minimal model of glucose kinetics to the dynamics of plasma glucose and insulin levels during the FSIGT. The best correlation in PCOS between S(I) and a fasting level was found with fasting G:I ratios (r = 0.73; P < 0.0001). A less substantial, but significant, correlation was found with fasting insulin levels (r = 0.50; P < 0.001), and no significant correlation was found with fasting glucose levels (r = 0.24; P = NS). The fasting G:I was more strongly correlated with S(I) than with integrated glucose and insulin responses during the OGTT. The only stronger correlation was with the OGTT 2 h G:I ratio (r = 0.74; P < 0.001). Stepwise regression analysis with S(I) as the dependent variable and fasting glucose and insulin levels, area under the curve for glucose and insulin, and a fasting G:I ratio showed that only the fasting G:I ratio was significantly predictive of S(I) in the model (F to remove value = 38.1; P < 0.001). When viewed as a screening test for insulin resistance in PCOS, setting a value of the fasting G:I ratio of less than 4.5 as abnormal (using an S(I) value below the 10th percentile of our control population as evidence for insulin resistance), the sensitivity of a fasting G:I ratio was 95%, the specificity was 84%, the positive predictive value was 87%, and the negative predictive value was 94%. Receiver operator curve analysis showed that this fasting G:I ratio was the single best screening measure for detecting insulin resistance. We conclude that a fasting G:I ratio may be useful as a screening test for insulin resistance in obese non-Hispanic white PCOS women. This may be a clinically useful parameter for selecting PCOS women most likely to respond to therapeutic interventions that improve insulin sensitivity.
713 citations
TL;DR: This work was funded by a grant from The Health Foundation (London, UK) that supported HR, KG, and NS.
693 citations
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TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors Study 2010 aimed to estimate annual deaths for the world and 21 regions between 1980 and 2010 for 235 causes, with uncertainty intervals (UIs), separately by age and sex, using the Cause of Death Ensemble model.
11,809 citations
Theo Vos1, Amanuel Alemu Abajobir, Kalkidan Hassen Abate2, Cristiana Abbafati3 +775 more•Institutions (305)
TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of prevalence, incidence, and years lived with disability (YLDs) for 328 causes in 195 countries and territories from 1990 to 2016.
10,401 citations
University of Washington1, Sapienza University of Rome2, Mekelle University3, University of Texas at San Antonio4, King Saud bin Abdulaziz University for Health Sciences5, Debre markos University6, Emory University7, University of Oxford8, University of Cartagena9, United Nations Population Fund10, University of Birmingham11, Stanford University12, Aga Khan University13, University of Melbourne14, National Taiwan University15, University of Cambridge16, University of California, San Diego17, Public Health Foundation of India18, Public Health England19, University of Peradeniya20, Harvard University21, National Institutes of Health22, Tehran University of Medical Sciences23, Auckland University of Technology24, University of Sheffield25, University of Western Australia26, Karolinska Institutet27, Birzeit University28, Brandeis University29, American Cancer Society30, Ochsner Medical Center31, Yonsei University32, University of Bristol33, Heidelberg University34, Vanderbilt University35, South African Medical Research Council36, Jordan University of Science and Technology37, New Generation University College38, Northeastern University39, Simmons College40, Norwegian Institute of Public Health41, Boston University42, Chinese Center for Disease Control and Prevention43, University of Bari44, University of São Paulo45, University of Otago46, University of Crete47, International Centre for Diarrhoeal Disease Research, Bangladesh48, Fred Hutchinson Cancer Research Center49, Teikyo University50, Bhabha Atomic Research Centre51, University of Tokyo52, Finnish Institute of Occupational Health53, Heriot-Watt University54, University of Alabama at Birmingham55, Griffith University56, National Center for Disease Control and Public Health57, University of California, Irvine58, Johns Hopkins University59, New York University60, University of Queensland61, Universidade Federal de Minas Gerais62, National Research University – Higher School of Economics63, University of Bergen64, Columbia University65, Shandong University66, University of North Carolina at Chapel Hill67, Fujita Health University68, Korea University69, Chongqing Medical University70, Zhejiang University71
TL;DR: The global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013 is estimated using a spatiotemporal Gaussian process regression model to estimate prevalence with 95% uncertainty intervals (UIs).
9,180 citations
TL;DR: All-cause age-standardised YLD rates decreased by 3·9% from 1990 to 2017; however, the all-age YLD rate increased by 7·2% while the total sum of global YLDs increased from 562 million (421–723) to 853 million (642–1100).
7,419 citations
Mohammad H. Forouzanfar1, Lily Alexander, H. Ross Anderson, Victoria F Bachman1 +733 more•Institutions (289)
TL;DR: The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) as discussed by the authors provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution.
5,668 citations