Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Apr 3;25(1):1264.
doi: 10.1186/s12889-025-22493-x.

Diabetes and prediabetes among women universally screened for gestational diabetes: a multi-ethnic, population-based, prospective study with eleven years follow-up

Affiliations

Diabetes and prediabetes among women universally screened for gestational diabetes: a multi-ethnic, population-based, prospective study with eleven years follow-up

Christin W Waage et al. BMC Public Health. .

Abstract

Background: Gestational diabetes (GDM) is a strong risk factor for later development of diabetes. However, data are scarce on the long-term risk for diabetes or prediabetes diagnosed by HbA1c, in non-selected, multi-ethnic populations universally screened for GDM using the WHO2013 criteria. We aimed to investigate the development of diabetes or prediabetes eleven years after the index pregnancy and identify risk factors in pregnancy or shortly after.

Methods: A population-based cohort study of 360 women with complete eleven years follow-up data for diabetes (HbA1c ≥ 48 mmol/mol) or prediabetesADA (HbA1c 39-47 mmol/mol). Women were enrolled in gestational week 15 and universally screened with an oral glucose tolerance test in week 28. We performed least absolute shrinkage and selection operator (LASSO) regression to identify predictors of future diabetes or prediabetesADA and constructed a nomogram to predict individual risks.

Results: Diabetes or prediabetesADA combined, was found in 26.9%, and the prevalence was slightly higher in previous GDM compared with non-GDM women (35.6% versus 23.5%; p = 0.019). The relative risk (RR) for developing diabetes or prediabetesADA was moderately elevated in GDM compared with non-GDM women (1.4 [1.0, 1.9], p = 0.035). Seven women (1.9%) had diabetes and all of these except for one, had previous GDM. Hence, the crude prevalence was 5.8% among GDM women vs. 0.4% among non-GDM women. The RR for developing diabetes was substantially higher in GDM vs. non-GDM women (14.8 [2.6, 277.1], p = 0.012). PrediabetesADA was found in 25% and the RR for prediabetesADA was not significantly increased for GDM compared to non-GDM women (1.3 [0.9, 1.8], p = 0.143). Among Europeans, 17.0% had diabetes or prediabetesADA, compared to 43.0% among South Asians (p < 0.001) and 34.4% among other ethnicities (p = 0.002). The most significant predictors identified from the LASSO were HbA1c measured in early pregnancy, ethnicity, and a family history of diabetes.

Conclusions: The risk for developing diabetes was low, overall and among GDM women. Still GDM represented a strong risk for diabetes, but not for prediabetesADA. HbA1c early in pregnancy, non-European ethnicity, and a family history of diabetes were the strongest risk factors for developing diabetes or prediabetesADA.

Trial registration: STORK G2 Women and Risk of Diabetes. NCT03870724 (ClinicalTrials.gov). February 27th, 2019.

Keywords: Ethnicity; Gestational diabetes; Type 2 diabetes.

PubMed Disclaimer

Conflict of interest statement

Declarations. Ethics approval and consent to participate: Both the original Stork G study, and the follow-up study (Unique Protocol ID: 2018/2517) was conducted according to the Helsinki declaration and were approved by the Regional Committee for Medical and Health Research Ethics of South-Eastern Norway. Informed consent was obtained from all the participants and/or their legal guardians. All participants signed study-specific consent forms when included at baseline and at the eleven years follow-up. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Flow chart. HbA1c based on capillary dried blood spot (n = 360, 94%)
Fig. 2
Fig. 2
Nomogram estimating the probability of having prediabetes or diabetes as a function of 11 predictors. The predictors were selected by the Lasso logistic regression model. For a specific individual, each predictor value is given a score and a total score obtained by adding the individual scores. The total score is projected on total points axis to obtain the probability of prediabetes or diabetes
Fig. 3
Fig. 3
Prediabetes and diabetes by GDM (WHO2013) status
Fig. 4
Fig. 4
Prediabetes and diabetes by GDM (WHO2013) status by ethnic group
Fig. 5
Fig. 5
ROC curve from LASSO for the performance of the least absolute shrinkage and selection operator risk score in identifying women with increased risk for prediabetes and diabetes. The AUC under the ROC curve is 0.7983 (95% CI 0.7813, 0.8154)
Fig. 6
Fig. 6
ROC curve from Nomogram for the performance of the least absolute shrinkage and selection operator risk score in identifying women with increased risk for prediabetes and diabetes. The AUC under the ROC curve is 0.8018 (95% CI 0.7831, 0.8186)

Similar articles

References

    1. Pervjakova N, Moen GH, Borges MC, Ferreira T, Cook JP, Allard C, et al. Multi-ancestry genome-wide association study of gestational diabetes mellitus highlights genetic links with type 2 diabetes. Hum Mol Genet. 2022;31(19):3377–91. - PMC - PubMed
    1. Yang J, Qian F, Chavarro JE, Ley SH, Tobias DK, Yeung E, et al. Modifiable risk factors and long term risk of type 2 diabetes among individuals with a history of gestational diabetes mellitus: prospective cohort study. BMJ. 2022;378:e070312. - PMC - PubMed
    1. Retnakaran R, Qi Y, Sermer M, Connelly PW, Hanley AJ, Zinman B. Glucose intolerance in pregnancy and future risk of pre-diabetes or diabetes. Diabetes Care. 2008;31(10):2026–31. - PMC - PubMed
    1. Bellamy L, Casas J-P, Hingorani AD, Williams D. Type 2 diabetes mellitus after gestational diabetes: a systematic review and meta-analysis. Lancet. 2009;373(9677):1773–9. - PubMed
    1. Vounzoulaki E, Khunti K, Abner SC, Tan BK, Davies MJ, Gillies CL. Progression to type 2 diabetes in women with a known history of gestational diabetes: systematic review and meta-analysis. BMJ. 2020;369. - PMC - PubMed

MeSH terms

Substances

Associated data