Diabetes incidence and influencing factors in women with and without gestational diabetes mellitus: A 15 year population-based follow-up cohort study

https://doi.org/10.1016/j.diabres.2017.04.003Get rights and content

Highlights

  • The median time for developing diabetes in women with a history of GDM is 6.95 years.

  • The total cumulative incidence rate of diagnosed diabetes at the median follow-up time of approximately 12 years was 9/1000 in women with GDM.

  • BMI and family history of type 2 diabetes are major predisposing factors for future risk of diabetes in women with prior GDM.

Abstract

Aim

Very few extensive follow-up investigations evaluating patients with history of gestational diabetes mellitus (GDM) have been documented. We conducted this longitudinal study to estimate the incidence of diabetes and its predictors in women with and without GDM.

Method

A total of 2458 eligible women, aged 20–50 years (476 with GDM and 1982 without GDM) were selected from among participants of the Tehran Lipid and Glucose study, based on the World Health Organization definition for GDM screening. Pooled logistic regression was used to assess the association between time-dependent covariates and diabetes.

Results

The incidence rate of diagnosed diabetes was 9/1000 for women with GDM and 4/1000 for their counterparts, without GDM. Kaplan-Meier curve indicated a significantly shorter median time for developing diabetes in women with a history of GDM (6.95 years [IQ: 4.22–10.71]), compared to their healthy peers (8.45 years [IQ: 5.08–10.89]). BMI and previous family history of diabetes were found as major risk factors for future diabetes in women with GDM.

Conclusion

The results presented here lead to better identification and selection of at-risk women with prior GDM history.

Introduction

Type 2 diabetes mellitus (T2DM), as a chronic metabolic disease, is a major epidemiologic global concern which necessitates the early detection of risk factors and identification of at- risk populations [1]. Women with the history of gestational diabetes mellitus (GDM) are one of these challenging high-risk groups [2]. GDM, occurring in about 7% of all pregnancies and a well-established risk factor for T2DM [3], alters glucose tolerance and metabolism as well as insulin resistance [4]. In fact, when the elevated insulin secretion cannot meet the needs of pregnancy-induced insulin resistance status, GDM develops [5]. In a recent systematic review using 24 relevant papers, the prevalence of GDM among Iranian women was reported 3.41% (varying between 1.3% and 18.6%) [6].

Depending on the ethnicity of the study population, follow- up period and the diagnostic criteria used, approximately, up to 60% of women with GDM may progress to T2DM [7]. Data available suggest that GDM significantly increases both the adverse short-term pregnancy outcomes such as hypertensive disorders, macrosomia and caesarian section rate [8] as well as, the likelihood of long-term metabolic conditions in both mother and offspring [9]. Reports confirm the elevated risk of cardiovascular disease [10] and decreased pancreatic beta cell function [11] in women with previous GDM. Therefore, pregnancies affected by diabetes need to be followed and monitored regularly, in order to plan and intervene efficiently to prevent any adverse metabolic outcome.

We have previously shown that during a 9-year follow-up, T2DM was diagnosed in 27.3% of women with GDM and its cumulative incidence was about 3-fold higher than in normal women [12]. In the current study we aimed to investigate the incidence of T2DM in women with GDM compared to non-GDM women and to find out the influencing factors in diabetes progression, using data from a 15-year follow-up study of Tehran Lipid and Glucose Study (TLGS).

Section snippets

Subjects

The current study is a 15-year-follow up of women whose index pregnancy was diagnosed with GDM; study subjects were recruited from the Tehran Lipid and Glucose Study (TLGS) [13], a long term prospective general population study initiated in 1998 to determine the prevalence and risk factors of non-communicable diseases. In this study 15,005 people, aged ≥3, were invited to participate. The participants undergo a follow-up visit every 3 years and demographic, anthropometric, reproductive and

Materials and methods

Subjects were interviewed using pretested questionnaires and during clinical examinations anthropometric measurements were assessed by trained examiners at each follow-up. Details of examinations and procedures have been previously published [12], [14]. In brief, weight was measured with minimum clothing to the nearest 100 g. Height was measured with a tape measure in a standing position, with shoulders in normal alignment. Waist circumference (WC) was measured midway at the level of umbilicus

Results

During up to 15 years of follow-up, of 2943 eligible participants, 476 women with GDM and 1982 without GDM were recruited. Overall, 272 (11.1%), 369 (15%), 723 (29.4%) and 1094 (44.5%) of participants were present at one, two, three and four follow-ups, respectively.

The median and interquartile range for follow-up years of GDM and non-GDM groups were 12.12 (8.09–13.51) and 11.62 (6.26–13.14), respectively. At baseline, women with GDM were older (36.53 ± 8.02 versus 34.34 ± 7.62) and had

Discussion

This study investigates diabetes incidence and risk factors in women with history of GDM in comparison with non-GDM women, using data retrieved from a 15- year prospective cohort study. Compared to healthy women, GDM women had higher rate of developing diabetes and had shorter survival time. We found BMI and family history of T2DM as the main predisposing factors for future risk of diabetes.

Our findings confirm previous reports that GDM increases the potentiality of developing T2DM within 10 

Conflict of interest

None.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Author’s contribution

S.M. contributed to the manuscript writing, data analysis and critical discussion. F.R.T. contributed to the study design and execution, data analysis and critical discussion. M.R. contributed to the data analysis and manuscript writing. M.A.M. contributed to the data analysis and critical discussion. F.A. contributed to the study design and execution and manuscript writing.

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