scholarly journals Genetic Information and the Prediction of Incident Type 2 Diabetes in a High-Risk Multiethnic Population

Diabetes Care ◽  
2013 ◽  
Vol 36 (9) ◽  
pp. 2836-2842 ◽  
Author(s):  
Sonia S. Anand ◽  
David Meyre ◽  
Guillaume Pare ◽  
Swneke D. Bailey ◽  
Changchun Xie ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
High Risk ◽  
Genetic Information ◽  
Incident Type ◽  
Incident Type 2 Diabetes ◽  
Multiethnic Population

scholarly journals Behavioral Circadian Timing System Disruptors and Incident Type 2 Diabetes in a Nonshift Working Multiethnic Population

Obesity ◽  
2020 ◽  
Vol 28 (S1) ◽  
Author(s):  
Mirthe Muilwijk ◽  
Dirk Jan Stenvers ◽  
Mary Nicolaou ◽  
Andries Kalsbeek ◽  
Irene G.M. Valkengoed
Keyword(s):  
Type 2 Diabetes ◽  
Circadian Timing ◽  
Incident Type ◽  
Incident Type 2 Diabetes ◽  
Timing System ◽  
Circadian Timing System ◽  
Multiethnic Population

scholarly journals Performance of Stepwise Screening Methods in Identifying Individuals at High Risk of Type 2 Diabetes in an Iranian Population

2021 ◽  
Author(s):  
Mojtaba Lotfaliany ◽  
Farzad Hadaegh ◽  
Mohammad Ali Mansournia ◽  
Fereidoun Azizi ◽  
Brian Oldenburg ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
High Risk ◽  
Prediction Models ◽  
Anthropometric Measurement ◽  
Screening Methods ◽  
Incident Type ◽  
Non Invasive ◽  
Incident Type 2 Diabetes ◽  
Wide Range

Background: Recent evidence recommended stepwise screening methods for identifying individuals at high risk of type 2 diabetes to be recruited in the lifestyle intervention programs for the prevention of the disease. This study aims to assess the performance of different stepwise screening methods that combine non-invasive measurements with lab-based measurements for identifying those with 5-years incident type 2 diabetes. Methods: 3037 participants aged ≥30 years without diabetes at baseline in the Tehran Lipid and Glucose Study (TLGS) were followed. Thirty-two stepwise screening methods were developed by combining a non-invasive measurement (an anthropometric measurement (waist-to-height ratio, WtHR) or a score based on a non-invasive risk score [Australian Type 2 Diabetes Risk Assessment Tool, AUSDRISK]) with a lab-based measurement (different cut-offs of fasting plasma glucose [FPG] or predicted risk based on three lab-based prediction models [Saint Antonio, SA; Framingham Offspring Study, FOS; and the Atherosclerosis Risk in Communities, ARIC]). The validation, calibration, and usefulness of lab-based prediction models were assessed before developing the stepwise screening methods. Cut-offs were derived either based on previous studies or decision-curve analyses. Results: 203 participants developed diabetes in 5 years. Lab-based risk prediction models had good discrimination power (area under the curves [AUCs]: 0.80-0.83), achieved acceptable calibration and net benefits after recalibration for population’s characteristics and were useful in a wide range of risk thresholds (5%-21%). Different stepwise methods had sensitivity ranged 20%-68%, specificity 70%-98%, and positive predictive value (PPV) 14%-46%; they identified 3%-33% of the screened population eligible for preventive interventions. Conclusion: Stepwise methods have acceptable performance in identifying those at high risk of incident type 2 diabetes.

[beta]eta-hydroxybutyrate and risk for incident type 2 diabetes: results from the prevend prospective cohort study

2019 ◽  
Author(s):  
Jose L Flores-Guerrero ◽  
Margery A Connelly ◽  
Dion Groothof ◽  
Eke G Gruppen ◽  
Stephan JL Bakker ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Cohort Study ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Incident Type ◽  
Incident Type 2 Diabetes

scholarly journals Lactation Duration and Long-term Risk for Incident Type 2 Diabetes in Women With a History of Gestational Diabetes Mellitus

Diabetes Care ◽  
2020 ◽  
Vol 43 (4) ◽  
pp. 793-798 ◽  
Author(s):  
Sylvia H. Ley ◽  
Jorge E. Chavarro ◽  
Mengying Li ◽  
Wei Bao ◽  
Stefanie N. Hinkle ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Incident Type ◽  
Incident Type 2 Diabetes ◽  
History Of ◽  
Lactation Duration

scholarly journals P5362Metabolomic signature of incident type 2 diabetes: evidence from NMR in over 18,000 individuals

2017 ◽  
Vol 38 (suppl_1) ◽  
Author(s):  
A.V. Ahola-Olli ◽  
P. Wurtz ◽  
J. Kettunen ◽  
M. Ala-Korpela ◽  
A.J. Kangas ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Incident Type ◽  
Incident Type 2 Diabetes
Sign in / Sign up

Export Citation Format

Share Document