The Inter- and Intragenerational Impact of Gestational Diabetes on the Epidemic of Type 2 Diabetes
Bibliographic Data
| ID | 11026698 |
|---|---|
| Authors | Nathaniel D Osgood, Nathaniel Osgood (0000-0002-3994-3298, University of Saskatchewan), Roland Dyck (0000-0002-5435-0538), Roland F Dyck, Winfried K Grassmann (0000-0002-1446-4020) |
| Year | 2011 |
| Volume | 101 |
| Issue | 1 |
| Pages | 173-179 |
| Publication date | 2011-01-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | American Journal of Public Health (JOURNAL) |
| Journal identifiers | ISSN: 0090-0036 • E-ISSN: 1541-0048 |
| Publisher | American Public Health Association (PUBLISHER • US) |
| DOI | 10.2105/ajph.2009.186890 |
| PMID | 21148717 |
| PMCID | PMC3000710 |
| OpenAlex | W2100239513 |
| Language | EN |
| Citations received | 8 |
| References cited | 60 |
Objectives. We investigated the contribution of gestational diabetes mellitus (GDM) to the historic epidemic of type 2 diabetes mellitus (T2DM) in Saskatchewan. Methods. We constructed a population-level simulation model of the inter- and intragenerational interaction of GDM and T2DM for the period 1956 to 2006. The model was stratified by gender, ethnicity, and age; parameterized with primary and secondary data; and calibrated to match historic time series. Risk of diabetes was sigmoidally trended to capture exogenous factors. Results. Best-fit calibrations suggested GDM may be responsible for 19% to 30% of the cases of T2DM among Saskatchewan First Nations people, but only for approximately 6% of cases among other persons living in Saskatchewan. The estimated contribution of GDM to the growth in T2DM was highly sensitive to assumptions concerning the post-GDM risk of developing T2DM. Conclusions. GDM may be an important driver for the T2DM epidemic in many subpopulations. Because GDM is a readily identifiable, preventable, and treatable condition, investments in prevention, rapid diagnosis, and evidence-based treatment of GDM in at-risk populations may offer substantial benefit in lowering the T2DM burden over many generations. Model-informed data collection can aid in assessing intervention tradeoffs
Diabetes mellitus · Environmental health · Gestation · Gestational diabetes · Population · Pregnancy · Type 2 diabetes · Type 2 Diabetes Mellitus · Birth, Development, and Health · Demography · Endocrinology · Gestational Diabetes Research and Management · Medicine · Pregnancy and preeclampsia studies · Gerontology
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| Unique citing works | 8 |
|---|---|
| Citations per year | 0,62 |
| Citation span | 2013 - 2022 (10) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 8 |