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Gestational diabetes mellitus and long-term consequences for mother and offspring: a view from Denmark
Open accessAbstract
Gestational diabetes mellitus (GDM) is defined as glucose intolerance of varying severity and is present in about 2-6% of all pregnancies in Europe, making it one of the most common pregnancy disorders. Aside from the short-term maternal, fetal and neonatal consequences associated with GDM, there are long-term consequences for both mother and child. Although maternal glucose tolerance often normalises shortly after pregnancy, women with GDM have a substantially increased risk of developing type 2 diabetes later in life. Studies have reported that women are more than seven times as likely to develop diabetes after GDM, and that approximately 50% of mothers with GDM will develop diabetes within 10 years, making GDM one of the strongest predictors of type 2 diabetes. In women with previous GDM, development of type 2 diabetes can be prevented or delayed by lifestyle intervention and/or medical treatment. Systematic follow-up programmes would be ideal to prevent progression of GDM to diabetes, but such programmes are unfortunately lacking in the routine clinical set-up in most countries. Studies have found that the risks of obesity, the metabolic syndrome, type 2 diabetes and impaired insulin sensitivity and secretion in offspring of mothers with GDM are two- to eightfold those in offspring of mothers without GDM. The underlying pathogenic mechanisms behind the abnormal metabolic risk profile in offspring are unknown, but epigenetic changes induced by exposure to maternal hyperglycaemia during fetal life are implicated. Animal studies indicate that treatment can prevent long-term metabolic complications in offspring, but this remains to be confirmed in humans. Thus, diabetes begets diabetes and it is likely that GDM plays a significant role in the global diabetes epidemic. This review summarises a presentation given at the 'Gestational diabetes: what's up?' symposium at the 2015 annual meeting of the EASD. It is accompanied by two other reviews on topics from this symposium (by Marja Vääräsmäki, DOI: 10.1007/s00125-016-3976-6 , and by Cuilin Zhang and colleagues, DOI: 10.1007/s00125-016-3979-3 ) and an overview by the Session Chair, Kerstin Berntorp (DOI: 10.1007/s00125-016-3975-7 ).
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“A growing body of evidence suggests that maternal obesity is responsible for programming long‐term health and wellbeing in the growing fetus.”
From Overweight, obesity and excessive weight gain in pregnancy as risk factors for adverse pregnancy outcomes: A narrative review (2022) · cites this paper as [93]
In the citing paper
“Individuals who are exposed to maternal obesity or GDM in utero are, as adults, more likely to be obese, 93 develop type‐2 diabetes 94 , 95 and die as a result of cardiovascular disease. 96”
From Overweight, obesity and excessive weight gain in pregnancy as risk factors for adverse pregnancy outcomes: A narrative review (2022) · cites this paper as [93]
Citations
Cites
Hyperglycemia and adverse pregnancy outcomes
(2008) · New England Journal of Medicine · doi:10.1056/nejmoa0707943 · Cited by 5,563
Type 2 diabetes mellitus after gestational diabetes: a systematic review and meta-analysis
Bellamy, L., Casas, J.-P., Hingorani, A. D., & Williams, D. (2009) · The Lancet · doi:10.1016/s0140-6736(09)60731-5 · Cited by 3,253
Effect of Treatment of Gestational Diabetes Mellitus on Pregnancy Outcomes
Crowther, C. A., Hiller, J. E., Moss, J. R., McPhee, A. J., Jeffries, W. S., & Robinson, J. S. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa042973 · Cited by 3,159
Elective induction versus spontaneous labor after sonographic diagnosis of fetal macrosomia.
Combs, C. A., Singh, N. B., & Khoury, J. C. (1993) · PubMed · Cited by 2,463
A Multicenter, Randomized Trial of Treatment for Mild Gestational Diabetes
Landon, M. B., Spong, C. Y., Thom, E., Carpenter, M. W., Ramin, S. M., Casey, B., Wapner, R. J., Varner, M. W., Rouse, D. J., Thorp, J. M., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0902430 · Cited by 2,122 · cited 2×
“These findings are discouraging compared with the wellestablished effect of treatment on short-term perinatal outcome [3, 4].”
Buchanan, T. A., Xiang, A. H., Peters, R. K., Kjos, S. L., Marroquin, A., Goico, J., Ochoa, C., Tan, S., Berkowitz, K., Hodis, H. N., et al. (2002) · Diabetes · doi:10.2337/diabetes.51.9.2796 · Cited by 1,339
Dabelea, D., Hanson, R. L., Lindsay, R. S., Pettitt, D. J., Imperatore, G., Gabir, M. M., Roumain, J., Bennett, P. H., & Knowler, W. C. (2000) · Diabetes · doi:10.2337/diabetes.49.12.2208 · Cited by 1,277
(1964) · PubMed · Cited by 1,230
Ratner, R. E., Christophi, C. A., Metzger, B. E., Dabelea, D., Bennett, P. H., Pi-Sunyer, X., Fowler, S., Kahn, S. E., & The Diabetes Prevention Program Research Group (2008) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2008-0772 · Cited by 867
Clausen, T. D., Mathiesen, E. R., Hansen, T., Pedersen, O., Jensen, D. M., Lauenborg, J., & Damm, P. (2008) · Diabetes Care · doi:10.2337/dc07-1596 · Cited by 724
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Items 601–628 of 628
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Wu, B., Zhang, Y., & Shi, L. (2025) · Epigenetics and human health · doi:10.1007/978-3-032-08045-5_3 · Cited by 1
Role of nutrients in gestational diabetes management
Wani, S., Pingale, P. L., Amrutkar, S. V., & Kulkarni, S. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-34003-1.00016-x
Yan, S., Chen, S., Shen, T., Zeng, S., Wang, J., Zhang, Z., Li, B., Zhou, H., Long, Y., & Zhang, D. (2026) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2026.119747
Wei, X., Jiang, J., Feng, W., Tan, Y., Sun, C., Liu, J., Yang, Z., Yang, G., & Luo, X. M. (2026) · Biomedicines · doi:10.3390/biomedicines14010224
Associations Between First-Trimester Cytokines and Gestational Diabetes
Meng, Y., Thornburg, L. L., Groth, S. W., Barrett, E. S., Miller, R. K., & O’Connor, T. G. (2026) · Diabetology · doi:10.3390/diabetology7020022
Luef, B. M., Stentebjerg, L. L., Tanvig, M. H., Aalders, J., Möller, S., Ovesen, P., Christesen, H. T., McIntyre, D. H., Catalano, P. M., Jørgensen, J. S., et al. (2026) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-026-08692-3
Wang, S., Zheng, Y., Luo, M., Chen, W., Guo, J., Jiang, R., & Yu, X. (2026) · Journal of Diabetes Research · doi:10.1155/jdr/6303241
Zhang, J., Xiao, Y., Wang, Y., Cui, L., Ji, X., Zhang, F., & Wang, Z. (2026) · International Journal of Biometeorology · doi:10.1007/s00484-026-03124-5
Chiodo, S., Grandi, S. M., Gronsbell, J. L., & Rosella, L. C. (2026) · Diagnostic and Prognostic Research · doi:10.1186/s41512-026-00220-3
Thandar, M. M., Kiriya, J., Shibanuma, A., Tin, K. N., Win, H. H., Saw, Y. M., Iwamoto, A., & Jimba, M. (2026) · BMC Public Health · doi:10.1186/s12889-026-27026-8
Outcomes of hyperglycaemia in pregnancy in Africa: Systematic review and meta-analysis
Musa, E., Chivese, T., Werfalli, M., Soepnel, L. M., Nicolaou, V., Matjila, M. J., Norris, S. A., & Levitt, N. S. (2026) · PLoS ONE · doi:10.1371/journal.pone.0345743 · Cited by 1
Mining transcriptomic data for gestational diabetes mellitus: What public datasets reveal
Xie, L., Li, S., Zou, Y., Qin, D., Sun, J., Xiao, Y.-X., Li, T., Hao, Y., & Li, B. (2026) · World Journal of Diabetes · doi:10.4239/wjd.v17.i4.115275
Postpartum OGTT Non-Adherence in Regional and Rural Australia: A Longitudinal Study
Culhane, M., Jedrisko, S., Harris, J., Johnson, M., Lababidi, N., & Aggar, C. (2026) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph23040539
Díaz-Rosas, G., Gómez-Acuña, O., Saucedo, R., Chávez-García, R., Reyes‐López, A., Contreras‐Ramos, A., & Ortega‐Camarillo, C. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27104368
Zhou, Y., Zhu, L., An, H., Wen, H., & Hao, P. (2026) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-026-09264-1
Management der Hyperglykämie in der Schwangerschaft (Update 2026)
Kautzky‐Willer, A., Winhofer, Y., Leutner, M., Kiss, H., Falcone, V., Linder, T., Berger, A., Wisgrill, L., Lechleitner, M., Weitgasser, R., et al. (2026) · Wiener klinische Wochenschrift · doi:10.1007/s00508-025-02695-4
Prevalence and recurrence rate of gestational diabetes: A nationwide cohort study
Larsen, N. L., Ovesen, P., Lidegaard, Ø., Rasmussen, S., & Kesmodel, U. S. (2026) · European Journal of Obstetrics & Gynecology and Reproductive Biology · doi:10.1016/j.ejogrb.2026.115243
Dong, Y., Fu, W., Zhang, L. Y., Zhang, J., Zhang, Y., Hettinga, K. A., & Zhou, P. (2026) · Food Chemistry · doi:10.1016/j.foodchem.2026.150140
Hu, Y., Chen, J.-S., Zhou, M., Huang, H., Zhou, Y.-F., Zhou, H.-Y., & Lv, Z. (2026) · Infectious Diseases of Poverty · doi:10.1186/s40249-026-01436-7
Tofail, T., Shifat, S. K., Sayeed, F., Hasan, M., Amin, U., & Hasanat, M. A. (2026) · AACE Endocrinology and Diabetes · doi:10.1016/j.aed.2026.07.008
Rizvi, A. A., Abbas, M., Ansari, A. I., Verma, S., Sinha, A., & Mahdi, F. (2026) · Journal of Developmental Origins of Health and Disease · doi:10.1017/s2040174426100695
Wu, M., Jiang, Y., & Wang, Y. (2026) · International Journal of Gynecology & Obstetrics · doi:10.1002/ijgo.71247
Raché, M., Lükewille, L., Vogelgesang, A., Lange, A., Ittermann, T., Heckmann, M., & Ruhnau, J. (2026) · Molecular and Cellular Pediatrics · doi:10.1186/s40348-026-00255-y
Zhao, Y., Wang, B., Yang, Y., & Li, H. (2026) · Pharmacognosy Magazine · doi:10.1177/09731296261474347
Prentice, D. M., Rickert, M. C., & Valent, A. M. (2026) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/j.ecl.2026.07.006
Akhtar, S. S., & Leitch, S. V. (2026) · Journal of Diabetes Research · doi:10.1155/jdr/8712576
Gokalani, R., Desai, P., Manoj, C., CHUDASAMA, D. B., Ghosh, S., Srivastava, A., Bhatt, V., Das, D. K., Mukundan, A., Pandya, M., et al. (2026) · Journal of Diabetology · doi:10.4103/jod.jod_223_25
Metadata
- Authors
- Damm, P., Houshmand-Oeregaard, A., Kelstrup, L., Lauenborg, J., Mathiesen, E. R., & Clausen, T. D.
- Affiliations
- University of Copenhagen (DK)
- Corresponding author
- Damm, Peter
- Venue
- Diabetologia
- Published
- 2016-05-12
- Volume
- 59
- Issue
- 7
- Pages
- 1396-1399
- ISSN
- 0012-186X (ISSN-L)
- 1432-0428
- OpenAlex
- W2373764771
- Cited by
- 620
- References
- 32
- Citations by year
- 2026: 39 · 2025: 67 · 2024: 73 · 2023: 63 · 2022: 101 · 2021: 70 · 2020: 94 · 2019: 38 · 2018: 37 · 2017: 33 · 2016: 4
- FWCI
- 6.60
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Diabetologia (publishedVersion)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion)
- Funders
- Novo Nordisk Fonden (NNF14OC0009275)
- Topics
- Health Sciences › Medicine › Obstetrics and Gynecology › Gestational Diabetes Research and Management
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Birth, Development, and Health
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- gestational diabetes mellitus, type 2 diabetes risk, offspring metabolic risk, maternal hyperglycemia, epigenetic effects, metabolic syndrome, obesity, insulin secretion, lifestyle intervention, diabetes prevention, long-term maternal outcomes, Denmark
- MeSH terms
- Denmark, Diabetes Mellitus, Type 2, Female, Humans, Mothers, Pregnancy, Pregnancy Complications, Risk Factors, Diabetes, Gestational
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