Skip to main content
  • More from ADA
    • Diabetes
    • Clinical Diabetes
    • Diabetes Spectrum
    • ADA Standards of Medical Care
    • ADA Scientific Sessions Abstracts
    • BMJ Open Diabetes Research & Care
  • Subscribe
  • Log in
  • Manage Online Access
  • Log out
  • Follow ada on Twitter
  • RSS
  • Visit ada on Facebook
Diabetes Care

Advanced Search

Main menu

  • Home
  • Current
    • Current Issue
    • Online Ahead of Print
    • Special Article Collections
    • ADA Standards of Medical Care
  • Browse
    • By Topic
    • Issue Archive
    • Saved Searches
    • Special Article Collections
    • ADA Standards of Medical Care
  • Info
    • About the Journal
    • About the Editors
    • ADA Journal Policies
    • Instructions for Authors
    • Guidance for Reviewers
  • Reprints/Reuse
  • Advertising
  • Subscriptions
    • Manage Online Access
    • Individual Subscriptions
    • Institutional Subscriptions
    • Purchase Single Issues
  • Alerts
    • E­mail Alerts
    • RSS Feeds
  • Podcast
  • Submit
    • Submit a Manuscript
    • Journal Policies
    • Instructions for Authors
    • ADA Peer Review
  • More from ADA
    • Diabetes
    • Clinical Diabetes
    • Diabetes Spectrum
    • ADA Standards of Medical Care
    • ADA Scientific Sessions Abstracts
    • BMJ Open Diabetes Research & Care

User menu

  • Subscribe
  • Log in
  • Manage Online Access
  • Log out

Search

  • Advanced search
Diabetes Care
  • Home
  • Current
    • Current Issue
    • Online Ahead of Print
    • Special Article Collections
    • ADA Standards of Medical Care
  • Browse
    • By Topic
    • Issue Archive
    • Saved Searches
    • Special Article Collections
    • ADA Standards of Medical Care
  • Info
    • About the Journal
    • About the Editors
    • ADA Journal Policies
    • Instructions for Authors
    • Guidance for Reviewers
  • Reprints/Reuse
  • Advertising
  • Subscriptions
    • Manage Online Access
    • Individual Subscriptions
    • Institutional Subscriptions
    • Purchase Single Issues
  • Alerts
    • E­mail Alerts
    • RSS Feeds
  • Podcast
  • Submit
    • Submit a Manuscript
    • Journal Policies
    • Instructions for Authors
    • ADA Peer Review
Metabolic Syndrome/Insulin Resistance Syndrome/Pre-Diabetes

Increasing Incidence of Diabetes After Gestational Diabetes

A long-term follow-up in a Danish population

  1. Jeannet Lauenborg, MD1,
  2. Torben Hansen, MD, PHD2,
  3. Dorte Møller Jensen, MD, PHD3,
  4. Henrik Vestergaard, MD, DMSC4,
  5. Lars Mølsted-Pedersen, MD, DMSC5,
  6. Peter Hornnes, MD, DMSC1,
  7. Henning Locht, MD6,
  8. Oluf Pedersen, MD, DMSC2 and
  9. Peter Damm, MD, DMSC1
  1. 1Department of Obstetrics, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
  2. 2Steno Diabetes Center, Gentofte, Denmark
  3. 3Department of Endocrinology, Odense University Hospital, Odense, Denmark
  4. 4Department of Endocrinology, Herlev University Hospital, Herlev, Denmark
  5. 5Department of Obstetrics, Glostrup University Hospital, Glostrup, Denmark
  6. 6Department of Autoimmunology, Statens Serum Institut, Copenhagen, Denmark
  1. Address correspondence and reprint requests to Jeannet Lauenborg, MD, Department of Obstetrics, 4031, The Juliane Marie Centre Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, DK-2100 Copenhagen, Denmark. E-mail: jeannet{at}lauenb.org
Diabetes Care 2004 May; 27(5): 1194-1199. https://doi.org/10.2337/diacare.27.5.1194
PreviousNext
  • Article
  • Figures & Tables
  • Info & Metrics
  • PDF
Loading

A long-term follow-up in a Danish population

Abstract

OBJECTIVE—To study the incidence of diabetes among women with previous diet-treated gestational diabetes mellitus (GDM) in the light of the general increasing incidence of overweight and diabetes and to identify risk factors for the development of diabetes.

RESEARCH DESIGN AND METHODS—Women with diet-treated GDM during 1978–1985 (old cohort, n = 241, also followed up around 1990) or 1987–1996 (new cohort, n = 512) were examined in 2000–2002. Women were classified by a 2-h, 75-g oral glucose tolerance test according to the World Health Organization criteria or an intravenous glucagon test supplemented by measurement of GAD antibodies. Historical data from index-pregnancy and anthropometrical measurements were collected.

RESULTS—A total of 481 (63.9%) women were examined (median 9.8 years [interquartile range 6.4–17.2]) after index pregnancy. Diabetes and impaired glucose tolerance (IGT)/impaired fasting glucose were present in 40.0 and 27.0% of women, respectively. In the new cohort, 40.9% had diabetes compared with 18.3% in the old cohort at the 1990 follow-up (P < 0.0005). Prepregnancy BMI was significantly higher in the new compared with the old cohort (26.0 [22.5–30.8] vs. 22.9 kg/m2 [20.2–28.0], P < 0.0005). Among others, new-cohort membership, prepregnancy overweight (BMI ≥25 kg/m2), and IGT postpartum were identified as independent predictors of diabetes by multiple logistic regression analyses.

CONCLUSIONS—The incidence of diabetes among Danish women with previous diet-treated GDM was very high and had more than doubled over a 10-year period. This seems to be due to a substantial increase in BMI in women with GDM.

  • GADA, GAD antibody
  • GDM, gestational diabetes mellitus
  • IFG, impaired fasting glucose
  • IGT, impaired glucose tolerance
  • OGTT, oral glucose tolerance test

Gestational diabetes mellitus (GDM), defined as abnormal glucose tolerance detected for the first time in pregnancy (1), occurs in 2–3% of all pregnant women in Denmark (2). GDM is a well-known risk factor for developing overt diabetes later in life, especially type 2 diabetes (3–5). Our group has previously found that 34% of Danish women with previous diet-treated GDM had abnormal glucose tolerance 2–11 years after pregnancy (6) compared with 5% in a control group.

Various pregnancy-related factors have been found to predict diabetes, e.g., diagnosis of GDM early in pregnancy, high blood glucose levels at diagnosis, need for insulin treatment during pregnancy, preterm delivery, and an abnormal oral glucose tolerance test (OGTT) 2 months postpartum (6–8). Obesity/overweight is a well-known risk factor for developing diabetes (9), also among women with previous GDM (10). This is notable since obesity is an increasing problem in younger Danish women (11).

Most long-term follow-up studies after GDM are in non-European populations and do not differentiate between women treated with diet or insulin during pregnancy. Since it is well known that insulin-treated GDM women have a very high risk of subsequent diabetes, we decided to exclusively study the prognosis of women treated with diet only to obtain a more homogeneous population.

The aims of the present study were 1) to determine the long-term incidence of diabetes among Danish women with previous diet-treated GDM, 2) to describe potential changes in the incidence of diabetes and overweight during the last decades among women with previous GDM, and 3) to identify risk factors for the development of diabetes.

RESEARCH DESIGN AND METHODS

The old cohort

The “old cohort” comprised 241 women from the center for diabetes and pregnancy, Rigshospitalet, with diet-treated GDM during 1978–1985 who previously participated in a follow-up 2–11 years after index pregnancy (6). All subjects had GDM based on a 3-h, 50-g OGTT during pregnancy (12). The group covered 81% of our diet-treated GDM population from this period, and details have been previously published (6).

The new cohort

The “new cohort” comprised all women (n = 512) from the same center with diet-treated GDM between 1987 and 1996. GDM diagnosis was based on a 3-h, 75-g OGTT (13).

During 1986 the 50-g OGTT was replaced by a 75-g test, and women from 1986 were not included in the present follow-up study. Both OGTTs were defined as abnormal if two or more of seven values during the test exceeded 3 SDs above the mean for a group of normal-weight nonpregnant women without family history of diabetes examined in exactly the same manner (13) (e.g., fasting venous plasma glucose 6.4 and 6.2 and 2-h plasma glucose 7.6 and 8.9 mmol/l, respectively) (12). GDM screening was based on risk factors (family history of diabetes, prepregnancy overweight [>20% overweight] [14] or BMI ≥27 kg/m2 [from 1994], previous macrosomic infant [birth weight ≥4,500 g], glucosuria, previous GDM, and age ≥35 years [from 1994]) and fasting blood glucose (capillary whole blood ≥4.1 or capillary plasma ≥4.7 mmol/l) (13,15).

Women with GDM were routinely offered an OGTT 2 months postpartum and, subsequently, in 1- to 2-year intervals, unless diabetes was diagnosed.

Follow-up

The women were invited by mail to take part in our follow-up study. Nonresponders were contacted again by phone or mail. Sixty-four percent (n = 481; 151/241 of old cohort, 330/512 of new cohort) of the total population was included. Reasons for not participating were refusal (n = 167), no response (n = 71), death (n = 8), severe illness other than diabetes (n = 7), pregnancy (n = 6), and emigration (n = 13). Characteristics for participants and nonparticipants are presented in Table 1.

OGTT

The women attended the center between 0800 and 1000 after a 10 h fasting, including no smoking or drinking. Two blood samples were drawn from an antecubital vein for measurement of plasma glucose and serum GAD antibodies (GADAs). Women without known diabetes also had a 2-h, 75-g OGTT with measurement of 2-h venous plasma glucose. Five percent of the tests were based on capillary whole blood glucose due to technical problems obtaining venous samples.

Glucagon test

Women reporting insulin-treated diabetes (n = 22) were examined by a 6-min glucagon test, where 1 mg glucagon (Glucagen; Novo Nordisk) was injected intravenously to evaluate pancreatic β-cell function (16). If fasting serum C-peptide was <300 pmol/l and 6-min C-peptide was <600 pmol/l, then the woman was classified as having type 1 diabetes.

Biochemical methods

Plasma glucose was measured by the glucose oxidase method using an automated colorimetric method on a Cobas Mira analyzer. Serum C-peptide was measured by a fluoroimmunometric assay using monoclonal antibodies on an AutoDelfia from Wallac/Perkin-Elmer (Allerød, Denmark).

GADAs were detected by a radioimmunoassay (Diamyd Anti-GAD-65 RIA; Diamyd Diagnostics, Stockholm, Sweden) according to the protocol provided by the manufacturer. Sera were run in duplicate, and the results were read on a γ counter (Wizard 1470; Wallac/PerkinElmer) and calculated from a standard curve. The cutoff limit was 9.5 units/ml, and the intra- and interassay coefficients of variation were 0.024 and 0.036, respectively.

Anthropometrical measurements

The women were classified as normal weight (BMI <25 kg/m2), overweight (BMI 25–30), or obese (BMI ≥30).

Historical data

Historical data were collected from local medical records. The glucose values from the diagnostic OGTT in pregnancy have been primarily measured in capillary blood and plasma but also as venous plasma for a shorter period. To compare the capillary blood glucose with plasma glucose, the capillary plasma glucose values were divided by a factor of 1.14 (17), whereas the venous plasma values were used uncorrected, as in our previous study (6). In the old cohort, the postpartum 50-g OGTT was evaluated as in pregnancy (6). The postpartum OGTT in the new cohort and the OGTTs from the 1990 follow-up for the old cohort and from the present follow-up for both cohorts were all 75-g OGTTs and evaluated according to the 1999 World Health Organization criteria (18).

The study was approved by the Copenhagen ethical committee [J.nr. (KF) 11-082/01] and conducted according to the Helsinki Declaration. All participants gave signed content before examination.

Statistical analysis

Data are given as median and interquartile range or number (percent). The χ2 test was used for comparison of frequencies, while medians between groups were compared by the Mann-Whitney U test. Uni- and multivariate logistic regression were applied to examine the relationship between dependent (development of diabetes) and the following independent variables, using manual backward elimination and forward selection: new/old cohort, Nordic origin, prepregnancy BMI, smoking, parity, family history of diabetes, GDM diagnosis before 24 gestational weeks, quartiles of fasting glucose from the diagnostic OGTT in pregnancy, preterm delivery (gestational age <37 weeks), age at delivery, impaired glucose tolerance (IGT) postpartum (old cohort: two or more values above mean + 3 SD; new cohort: 2-h glucose ≥ 7.8 mmol/l), and age at follow-up. Women with overt diabetes postpartum (within 6 months after pregnancy) were excluded from the logistic regression analyses (n = 12). The association between the independent variables and the development of diabetes is presented as crude and adjusted odds ratios (ORs) and 95% CI. In one model, the dependent variable was diabetes at follow-up for the old cohort in 1990 and for the new cohort in 2002, 3.5–15 years after index pregnancy. In three other models, the dependent variable was diabetes at follow-up in 2002 (type 1 or type 2 diabetes, type 2 diabetes, or type 1 diabetes), 3.5–23.2 years after index pregnancy. The analyses were adjusted for length of follow-up. Life table analysis was not applied due to individual variation in the regularity and intervals of OGTTs after pregnancy.

A two-sided P value <0.05 was considered significant. SPSS for Windows, version 11.0, was used for statistical analysis.

RESULTS

The total cohort of 481 women was followed for 9.8 years (interquartile range 6.4–17.2), and the median age at follow-up was 42.9 years (37.7–47.8). Diabetes was present in 192 (39.9% [95% CI 35.5–44.3]) and IGT/impaired fasting glucose (IFG) in 130 (27.0% [23.1–31.0]) women. Twenty-one had type 1 and 171 type 2 diabetes. One woman with a fasting C-peptide of 306 pmol/l and a 6-min C-peptide of 421 pmol/l had high GADAs and was classified as having type 1 diabetes. GADAs were detected in 22 of 453 women (14 type 1 diabetic, 3 type 2 diabetic, 2 with IGT/IFG, and 3 normal glucose tolerant). Twelve of the 442 women (2.7%) examined postpartum had overt diabetes; all 12 had diabetes at follow-up. The median BMI was 27.9 kg/m2 (24.1–32.9). BMI >25 kg/m2 was found in 60.9%, and 31.6% were obese.

Characteristics of the old and the new cohort at index pregnancy

The new cohort was older (33.0 years [28.6–36.4] vs. 30.0 [26.1–33.6], P < 0.0005) and had a higher prepregnancy BMI (26.0 kg/m2 [22.5–30.8] vs. 22.9 [20.2–28.0], P < 0.0005). Two screening criteria were more frequent in the new cohort: family history of diabetes (47.8 vs. 31.5%, P < 0.0005) and overweight (50.2 vs. 25.3%, P < 0.0005). In the new cohort, there were fewer Nordic Caucasians (71.5 vs. 88.7%, P < 0.0005) and GDM was diagnosed earlier in pregnancy (224 days [range 195–245] vs. 237 [209–258], P < 0.0005). There were no significant differences regarding the screening criteria glucosuria (43.2% in new cohort vs. 44.8% in old cohort), macrosomia (8.8 vs. 6.2%), or previous GDM (4.4 vs. 7.1%).

Characteristics of the old and new cohorts at follow-up

The incidence of diabetes was more than twofold higher in the new cohort compared with the old cohort at the 1990 follow-up (P < 0.0005), whereas similar rates of diabetes were found in comparison with the old cohort at the 2002 follow-up (Table 2).

BMI was significantly higher in the new cohort compared with the old cohort in 1990, while no significant difference was present in 2002. Women in the new cohort were older at the 2002 follow-up than women in the old cohort at the 1990 follow-up, and they were followed for 1 year longer. Median age and duration of follow-up were both ∼10 years more for the old cohort in 2002 compared with the new cohort.

Among women from the old cohort included in the present follow-up study, 15% had diabetes at follow-up in 1990 and another 23% subsequently developed diabetes. Seventeen of 27 (63%) with IFG and/or IGT at follow-up in 1990 had developed diabetes at the latest follow-up.

Multiple logistic regression

Table 3 presents crude and adjusted ORs for the association between various independent variables and development of diabetes at follow-up in 1990 for the old cohort and 2002 for the new cohort. The variables independently associated with diabetes were: new cohort membership, prepregnancy overweight/obesity, early diagnosis of GDM, high fasting glucose at the diagnostic OGTT, and IGT postpartum.

Table 4 presents three models, where the dependent variable is either diabetes (both type 1 and 2), type 2 diabetes, or type 1 diabetes at latest follow-up in 2002.

IGT postpartum, early diagnosis of GDM, prepregnancy overweight/obesity, and fasting glucose at diagnosis were predictors for diabetes in general and for type 2 diabetes in particular. Type 2 diabetes was also predicted by the screening criteria family history of diabetes. Fasting glucose at the postpartum examination was not related to follow-up diabetes status. An ethnic origin different from Nordic did not predict diabetes when adjusting for prepregnancy BMI. The only significant predictors for later type 1 diabetes were preterm delivery and IGT postpartum.

CONCLUSIONS

Forty percent of a Danish population of women with previous diet-treated GDM had developed diabetes at a median of 10 years after pregnancy. This incidence is more than ten times higher than in the 30- to 60-year-old female background population (19). The risk of developing diabetes after GDM has more than doubled during the last decade. Thus, in contrast to previous studies from Scandinavia (6,20), where relatively low incidences of diabetes were found in women with previous GDM, the incidence is now comparable to studies from other parts of the world (5). The most obvious reason is the increase in BMI before and after index pregnancy found in the present study, probably reflecting a global epidemic (21). Accordingly, it has recently been found that the increased incidence of IGT and diabetes in a Danish cohort of 60-year-old women and men could be fully explained by the increasing BMI (22). It is therefore not surprising that we now find overweight and obesity to be significant risk factors for later development of diabetes, which is in agreement with previous studies (5). Indeed, 61% of our women were overweight, with more than half fulfilling the criteria for obesity. This proportion is three times as high as in the background population of Danish women aged 30–60 years (11).

Obviously some changes in clinical practice happen over a period of 20 years, such as the change from the 50- to 75-g OGTT as the diagnostic test for GDM. When this change took place, it was aimed to define the GDM criteria in the same way as the background population. Nevertheless, comparison of the cohorts might be biased by the different diagnostic tests. Our prevalence of GDM has remained rather stable over the years, with an increasing tendency during the 1990s, indicating no selection toward a more severe metabolic disturbance in the new cohort. The new cohort was older and more overweight before pregnancy, which is in accordance with the trend seen in the Danish background population (11). Also, more women had a family history of diabetes, which did not turn out to be an independent predictive factor for the development of overt diabetes in general, although it did predict the development of type 2 diabetes. However, when adjusting for prepregnancy BMI, family history of diabetes, and other pregnancy-related risk factors, we still found a significant difference in overt diabetes between the old and new cohort. Thus, it is not likely that the very significant predictive factor “cohort effect” (OR 3.1) solely could be explained by the differences in the screening and diagnostic tests for GDM used over time. In contrast, the cohort effect might reflect a change to a more sedentary lifestyle. Lifestyle has recently been found to influence the risk of developing diabetes and obesity, and a more physically active lifestyle can reduce this risk (23). An active lifestyle in combination with a low-calorie diet can also reduce the high risk for IGT/IFG to progress to overt diabetes by >50% (24). IGT/IFG was diagnosed in 19.5% of the old cohort at follow-up in 1990 and 26.4% in the new cohort. More than 60% of women with IGT/IFG in 1990 developed diabetes in the following years, indicating that the number of women who develop diabetes will progressively increase. Despite an offer of regular OGTTs after pregnancy, half of the cases of diabetes were undiagnosed until the present study. These women therefore comprise a group with a markedly increased morbidity (25).

Few studies have looked at different types of diabetes after GDM. In agreement with our previous study (6), we found that type 1 and type 2 diabetes were common. This probably reflects that type 1 diabetes is relatively frequent in our primarily Nordic Caucasian population in comparison with, for example, Hispanic Americans. This study is to our knowledge the first to study risk factors for either type 2 or type 1 diabetes. The best predictor for diabetes in general was IGT postpartum, in accordance with previous studies (6,26). Preterm delivery was an independent risk factor for the development of type 1 but not type 2 diabetes. This finding is of interest, since it has been shown for pregnant women with both type 1 diabetes and GDM that increasing glucose levels increase the risk of spontaneous preterm delivery (27,28).

The women who did not participate in the study were markedly heavier and more often had diabetes at routine follow-up than participating women. Thus, we suggest that the demonstrated incidence of diabetes is a conservative estimate compared with what would be expected if the whole population of women with previous GDM had been examined.

Women with insulin-treated GDM comprised 16.1 and 15.1% of women with GDM during 1978–1985 and 1987–1996, respectively (P = 0.69), and were not included because they are likely to have a more severe form of GDM, resulting in even higher estimates of subsequent overt diabetes.

In conclusion, we found a doubling in the incidence of diabetes and IGT/IFG over a 10-year period. Our study supports previous findings that women with GDM are at high risk for subsequent diabetes. The risk is further increased if obesity is present before pregnancy. Furthermore, we found an increasing incidence of overweight among women with GDM. Women with previous GDM represent a target group for intervention to postpone or prevent the development of overt diabetes.

View this table:
  • View inline
  • View popup
Table 1—

Baseline characteristics from index pregnancy and routine follow-up for women with previous diet-treated GDM comparing participants and nonparticipants in the 2002 follow-up study

View this table:
  • View inline
  • View popup
Table 2—

Follow-up characteristics for the old cohort in 1990 and 2002 and for the new cohort in 2002

View this table:
  • View inline
  • View popup
Table 3—

Crude and adjusted ORs for independent variables tested in multiple logistic regression with the dependent variable overt diabetes at follow-up in 1990 for the old cohort and in 2002 for the new cohort

View this table:
  • View inline
  • View popup
Table 4—

Adjusted ORs for the independent variables tested in multiple logistic regression with diabetes, known type 2 diabetes, or known type 1 diabetes as the dependent variable at follow-up in 2002

Acknowledgments

This research was supported by the Danish Medical Research Counsil, Copenhagen University, the Danish Diabetes Association, Handelsgartner Ove Villiam Buhl Olesen og ægtefælle Edith Buhl Olesens Mindelegat, and Dagmar Marshalls Fond.

The authors thank the laboratory staffs at the Department of Obstetrics (Rigshospitalet) and Steno Diabetes Center for skillful technical assistance and statistician Svend Kreiner (Biostatistical Institute, Copenhagen University) for statistical assistance.

Footnotes

    • Accepted February 16, 2004.
    • Received October 30, 2003.
  • DIABETES CARE

References

  1. ↵
    Metzger BE, Coustan DR, the Organizing Committee: Summary and recommendations of the Fourth International Workshop-Conference on Gestational Diabetes Mellitus. Diabetes Care 21(Suppl. 2):B161–B167, 1998
    OpenUrlPubMed
  2. ↵
    Jensen DM, Mølsted-Pedersen L, Beck-Nielsen H, Westergaard JG, Ovesen P, Damm P: Screening for gestational diabetes mellitus by a model based on risk indicators: a prospective study. Am J Obstet Gynecol 189:1383–1388, 2003
    OpenUrlCrossRefPubMedWeb of Science
  3. ↵
    O’Sullivan JB: Diabetes mellitus after GDM. Diabetes 40(Suppl. 2):131–135, 1991
    OpenUrlPubMed
  4. Albareda M, Caballero A, Badell G, Piquer S, Ortiz A, de Leiva A, Corcoy R: Diabetes and abnormal glucose tolerance in women with previous gestational diabetes. Diabetes Care 26:1199–1205, 2003
    OpenUrlAbstract/FREE Full Text
  5. ↵
    Kim C, Newton KM, Knopp RH: Gestational diabetes and the incidence of type 2 diabetes: a systematic review. Diabetes Care 25:1862–1868, 2002
    OpenUrlAbstract/FREE Full Text
  6. ↵
    Damm P, Kühl C, Bertelsen A, Mølsted-Pedersen L: Predictive factors for the development of diabetes in women with previous gestational diabetes mellitus. Am J Obstet Gynecol 167:607–616, 1992
    OpenUrlPubMedWeb of Science
  7. Kjos SL, Buchanan TA, Greenspoon JS, Montoro M, Bernstein GS, Mestman JH: Gestational diabetes mellitus: the prevalence of glucose intolerance and diabetes mellitus in the first two months post partum. Am J Obstet Gynecol 163:93–98, 1990
    OpenUrlCrossRefPubMedWeb of Science
  8. ↵
    Buschard K, Hougaard P, Mølsted-Pedersen L, Kühl C: Type 1 (insulin-dependent) diabetes mellitus diagnosed during pregnancy: a clinical and prognostic study. Diabetologia 33:31–35, 1990
    OpenUrlCrossRefPubMed
  9. ↵
    Carey VJ, Walters EE, Colditz GA, Solomon CG, Willett WC, Rosner BA, Speizer FE, Manson JE: Body fat distribution and risk of non-insulin-dependent diabetes mellitus in women: the Nurses’ Health Study. Am J Epidemiol 145:614–619, 1997
    OpenUrlAbstract/FREE Full Text
  10. ↵
    O’Sullivan JB: Gestational diabetes: factors influencing the rates of subsequent diabetes. In Carbohydrate Metabolism in Pregnancy and the Newborn. Sutherland HW, Stowers JM, Eds. Berlin, Springer-Verlag, 1979, p. 425–435
  11. ↵
    Heitmann BL: Ten-year trends in overweight and obesity among Danish men and women aged 30–60 years. Int J Obes Relat Metab Disord 24:1347–1352, 2000
    OpenUrlCrossRefPubMedWeb of Science
  12. ↵
    Kühl C: Glucose metabolism during and after pregnancy in normal and gestational diabetic women. 1. Influence of normal pregnancy on serum glucose and insulin concentration during basal fasting conditions and after a challenge with glucose. Acta Endocrinol Copenh 79:709–719, 1975
    OpenUrlAbstract/FREE Full Text
  13. ↵
    Damm P, Handberg A, Kühl C, Beck-Nielsen H, Mølsted-Pedersen L: Insulin receptor binding and tyrosine kinase activity in skeletal muscle from normal pregnant women and women with gestational diabetes. Obstet Gynecol 82:251–259, 1993
    OpenUrlPubMed
  14. ↵
    [New Height/Weight Tables for Norwegian Women and Men.] Oslo, Landsforeningen, 1956
  15. ↵
    Guttorm E: Practical screening for diabetes mellitus in pregnant women. Acta Endocrinol Suppl Copenh 182:11–24, 1974
    OpenUrlPubMed
  16. ↵
    Madsbad S, Krarup T, McNair P, Christiansen C, Faber OK, Transbol I, Binder C: Practical clinical value of the C-peptide response to glucagon stimulation in the choice of treatment in diabetes mellitus. Acta Med Scand 210:153–156, 1981
    OpenUrlPubMedWeb of Science
  17. ↵
    Alberti KG, Burrin JM: Research methodologies in measuring blood glucose and in defining diabetes. In Research Methodologies in Human Diabetes. Part 2. 2nd ed. Mogensen CE, Standl E, Eds. Berlin, de Gruyter, 1995, p. 9–26
  18. ↵
    World Health Organization: Definition, Diagnosis and Classification of Diabetes Mellitus and its Complications: Report of a WHO consultation. Part 1: Diagnosis and Classification of Diabetes Mellitus. Geneva, World Health Org., 1999 (Tech. Rep. Ser., no. WHO/NCD/NCS/99.2)
  19. ↵
    Glumer C, Jorgensen T, Borch-Johnsen K: Prevalences of diabetes and impaired glucose regulation in a Danish population: the Inter99 study. Diabetes Care 26:2335–2340, 2003
    OpenUrlAbstract/FREE Full Text
  20. ↵
    Persson B, Hanson U, Hartling SG, Binder C: Follow-up of women with previous GDM: insulin, C-peptide, and proinsulin responses to oral glucose load. Diabetes 40(Suppl. 2):136–141, 1991
    OpenUrlPubMed
  21. ↵
    King H, Aubert RE, Herman WH: Global burden of diabetes, 1995–2025: prevalence, numerical estimates, and projections. Diabetes Care 21:1414–1431, 1998
    OpenUrlAbstract/FREE Full Text
  22. ↵
    Drivsholm T, Ibsen H, Schroll M, Davidsen M, Borch-Johnsen K: Increasing prevalence of diabetes mellitus and impaired glucose tolerance among 60-year-old Danes. Diabet Med 18:126–132, 2001
    OpenUrlCrossRefPubMedWeb of Science
  23. ↵
    Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA, Nathan DM: Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med 346:393–403, 2002
    OpenUrlCrossRefPubMedWeb of Science
  24. ↵
    Tuomilehto J, Lindstrom J, Eriksson JG, Valle TT, Hamalainen H, Ilanne-Parikka P, Keinanen-Kiukaanniemi S, Laakso M, Louheranta A, Rastas M, Salminen V, Uusitupa M: Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med 344:1343–1350, 2001
    OpenUrlCrossRefPubMedWeb of Science
  25. ↵
    Harris MI, Klein R, Welborn TA, Knuiman MW: Onset of NIDDM occurs at least 4–7 yr before clinical diagnosis. Diabetes Care 15:815–819, 1992
    OpenUrlAbstract/FREE Full Text
  26. ↵
    Kjos SL, Peters RK, Xiang A, Henry OA, Montoro M, Buchanan TA: Predicting future diabetes in Latino women with gestational diabetes: utility of early postpartum glucose tolerance testing. Diabetes 44:586–591, 1995
    OpenUrlAbstract/FREE Full Text
  27. ↵
    Jensen DM, Damm P, Sorensen B, Molsted-Pedersen L, Westergaard JG, Korsholm L, Ovesen P, Beck-Nielsen H: Proposed diagnostic thresholds for gestational diabetes mellitus according to a 75-g oral glucose tolerance test: maternal and perinatal outcomes in 3260 Danish women. Diabet Med 20:51–57, 2003
    OpenUrlCrossRefPubMed
  28. ↵
    Mimouni F, Miodovnik M, Siddiqi TA, Berk MA, Wittekind C, Tsang RC: High spontaneous premature labor rate in insulin-dependent diabetic pregnant women: an association with poor glycemic control and urogenital infection. Obstet Gynecol 72:175–180, 1988
    OpenUrlPubMedWeb of Science
View Abstract
PreviousNext
Back to top
Diabetes Care: 27 (5)

In this Issue

May 2004, 27(5)
  • Table of Contents
  • About the Cover
  • Index by Author
Sign up to receive current issue alerts
View Selected Citations (0)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word about Diabetes Care.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Increasing Incidence of Diabetes After Gestational Diabetes
(Your Name) has forwarded a page to you from Diabetes Care
(Your Name) thought you would like to see this page from the Diabetes Care web site.
Citation Tools
Increasing Incidence of Diabetes After Gestational Diabetes
Jeannet Lauenborg, Torben Hansen, Dorte Møller Jensen, Henrik Vestergaard, Lars Mølsted-Pedersen, Peter Hornnes, Henning Locht, Oluf Pedersen, Peter Damm
Diabetes Care May 2004, 27 (5) 1194-1199; DOI: 10.2337/diacare.27.5.1194

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Add to Selected Citations
Share

Increasing Incidence of Diabetes After Gestational Diabetes
Jeannet Lauenborg, Torben Hansen, Dorte Møller Jensen, Henrik Vestergaard, Lars Mølsted-Pedersen, Peter Hornnes, Henning Locht, Oluf Pedersen, Peter Damm
Diabetes Care May 2004, 27 (5) 1194-1199; DOI: 10.2337/diacare.27.5.1194
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • RESEARCH DESIGN AND METHODS
    • RESULTS
    • CONCLUSIONS
    • Acknowledgments
    • Footnotes
    • References
  • Figures & Tables
  • Info & Metrics
  • PDF

Related Articles

Cited By...

More in this TOC Section

  • Hepatic Enzymes, the Metabolic Syndrome, and the Risk of Type 2 Diabetes in Older Men
  • Anthropometry, Glucose Tolerance, and Insulin Concentrations in Indian Children
  • Dietary Calcium, Vitamin D, and the Prevalence of Metabolic Syndrome in Middle-Aged and Older U.S. Women
Show more Metabolic Syndrome/Insulin Resistance Syndrome/Pre-Diabetes

Similar Articles

Navigate

  • Current Issue
  • Standards of Care Guidelines
  • Online Ahead of Print
  • Archives
  • Submit
  • Subscribe
  • Email Alerts
  • RSS Feeds

More Information

  • About the Journal
  • Instructions for Authors
  • Journal Policies
  • Reprints and Permissions
  • Advertising
  • Privacy Policy: ADA Journals
  • Copyright Notice/Public Access Policy
  • Contact Us

Other ADA Resources

  • Diabetes
  • Clinical Diabetes
  • Diabetes Spectrum
  • BMJ Open - Diabetes Research & Care
  • Standards of Medical Care in Diabetes
  • Scientific Sessions Abstracts
  • Professional Books
  • Diabetes Forecast

 

  • DiabetesJournals.org
  • Diabetes Core Update
  • ADA's DiabetesPro
  • ADA Member Directory
  • Diabetes.org

© 2019 by the American Diabetes Association. Diabetes Care Print ISSN: 0149-5992, Online ISSN: 1935-5548.