Incidence and Contributing Factors of Persistent Hyperglycemia at 6–12 Weeks Postpartum in Iranian Women with Gestational Diabetes: Results from LAGA Cohort Study
Background. A history of gestational diabetes is an important predictor of many metabolic disturbances later in life. Method. Life after gestational diabetes Ahvaz Study (LAGAs) is an ongoing population-based cohort study. Up to February 2016, 176 women with gestational diabetes underwent a 75 g oral glucose tolerance test (OGTT) at 6–12 weeks postpartum in Ahvaz (southwestern of Iran). Gestational diabetes was diagnosed according to the International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria and the American Diabetes Association (ADA) criteria applied for diagnosis of postpartum prediabetes and diabetes. Univariate and multivariate regression analysis were done. Results. Overall incidence of early postpartum glucose intolerance was 22.2% (95% CI, 16.3–29.0), 17.6% prediabetes (95% CI, 12.3–24.1) and 4.5% diabetes (95% CI, 2.0–8.8%). Independent risk factors for glucose intolerance were FPG ≥ 100 at the time of OGTT (OR 3.86; 95% CI; 1.60–9.32), earlier diagnosis of GDM (OR 0.92; 95% CI; 0.88–0.97), systolic blood pressure (OR 1.02; 95% CI; 1.002–1.04), and insulin or metformin therapy (OR 3.14; 95% CI; 1.20–8.21). Conclusion. Results determined a relatively high rate of glucose intolerance at 6–12 weeks after GDM pregnancy. Early postpartum screening of type 2 diabetes is needed particularly in women at high risk of type 2 diabetes.
Gestational diabetes mellitus (GDM) is defined as any degree of glucose intolerance, onset or first recognition during pregnancy . GDM is associated with adverse maternal and neonatal outcomes [2, 3]. The literature reports that GDM, through increased medical cost for prenatal care and excess cost of the newborn in the first year after birth, burdens a healthcare system. Based on a national report in the United States, GDM increased medical costs by $636 million ($596 million for maternal costs and $40 million for neonatal cost), although the long-term medical cost of GDM and related outcomes was not clarified .
Gestational diabetes mellitus, as a common metabolic disorder during pregnancy, affects between 1% and 28% of pregnancies  and global statistics indicate an even higher rate . Incidence of GDM is increasing and this rise is attributed to obesity, type 2 diabetes and metabolic syndrome epidemic, advancing maternal age of pregnancy, and implementation of newly diagnosed criteria [1, 7, 8].
A history of gestational diabetes is a strong predictor of many metabolic disturbances, particularly glucose intolerance later in life . In the literature, the risk of diversion to type 2 diabetes increased during the 20-year period after the index pregnancy . Reports have shown that the pattern can be changed and the interval shortened through changes in lifestyle [13, 14].
International guidelines recommend early screening of glucose status for development of prediabetes or diabetes in women with gestational diabetes at 6–12 weeks postpartum using the 75 g 2 h oral glucose tolerance test (OGTT) and thereafter [15–17]. But in most population, rates of women who return postpartum and screen are low [18, 19].
Potential predicators of future progression of prediabetes and/or diabetes in women with gestational diabetes are prepregnancy body mass index (BMI), higher blood glucose level in pregnancy, particular ethnic groups, earlier diagnosis of GDM, requirement of insulin therapy during pregnancy, and advanced maternal age, with high heterogeneity in reported risk factors [7, 20, 21].
Common universal features of GDM reported in recent decades include a rising trend in incidence of the condition  increasing prevalence of its risk factors [8, 11]; a high rate of metabolic and cardiovascular outcomes ; earlier progression to prediabetes and type 2 diabetes [13, 14], and suboptimal return of exposed women for postpartum screening and lifestyle interventions based on previous reports and our recent report in this area [18, 22] show this population is a high risk group for many metabolic outcomes. Therefore early identification of women with greater risk of progression to diabetes may provide opportunity for prevention and intervention program. Our motivation to conduct this study was lack of information on risk factors associated with early postpartum glucose intolerance following adoption of the International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria. we sought to estimate incidence of early postpartum glucose intolerance and to identify risk factors for future diabetes incidence among women with recent gestational diabetes.
2.1. Study Design and Settings
Life after gestational diabetes Ahvaz Study (LAGAs) is a population-based prospective cohort study to investigate potential short and long-term metabolic outcomes of gestational diabetes in mothers and their offspring. For this reason, the first gestational diabetes clinic in Khuzestan province was established as center of the cohort study on October 2013 in Golestan Hospital, the teaching hospital of Ahvaz Jundishapur University of Medical Sciences. Ahvaz is the capital of Khuzestan province, located in southwestern of Iran with high birth rate, high prevalence of obesity, metabolic syndrome, and type 2 diabetes [23–26].
2.2. Study Population
Pregnant women attending 25 urban public and private centers seeking prenatal care were recruited from March 2015. Single approach for screening, treatment, and management of GDM was applied. Initial screening was done in first trimester of pregnancy by fasting plasma glucose (FPG) test. Women with FPG ≥ 126 mg/dL and those who had pregestational diabetes type 1 or type 2 as defined by American Diabetes Association (ADA) criteria  were excluded. Women with FPG 100–125 mg/dL in first trimester of pregnancy received diet and physical activity program for 2 weeks and blood glucose check with 3 weeks interval. Based on results of blood test, women were referred for pharmacotherapy or continuing diet and physical activity. Women who refuse to continue and those planning to move from Ahvaz city within the subsequent 2 years were excluded.
75 g OGTT was performed between 24 and 32 weeks of gestation and based on IADPSG criteria, only one abnormal value equal to or greater than the known threshold value was detected as GDM values (≥92 for fasting, ≥180 and ≥153 mg/dL for 1-hour and 2-hour plasma glucose level, resp.) . Women with impaired glucose metabolism, BMI ≥ 30 kg/m2, history of diabetes mellitus in first relatives, and history of GDM in previous pregnancies underwent earlier OGTT before 14th week of gestation  and screening was repeated between 24 and 32 weeks of gestation if the result was normal.
All women with gestational diabetes received dietary and exercise counseling, individualized diet or pharmacotherapy (insulin or metformin), and clinical and biochemical reassessment with 2-3 weeks’ interval. ADA recommendations were used for goals of treatment .
A list of women who were diagnosed as GDM with details of their address and contact information were sent for research team and women referred to Golestan Hospital if they verbally accepted participation in the study. Various methods of communication were used to encourage women to participate and for retention including direct contact by phone, SMS texts via phone line, and other social networks (Whats app and telegram). Messages and reminders were sent to the women themselves and/or to husbands or other relatives who had made their contact number available. Communications were made by Sedigheh Nouhjah who was able to respond to any questions presented by the participants. Clinical evaluation and blood tests were free of charge and a copy of their laboratory reports was submitted to the patients for future reference.
2.3. Data Collection
Questionnaires related to sociodemographic characteristics of women and their husbands, potential risk factors of GDM, pregnancy outcome for the fetus and mothers, obstetrics and medical history, physical activity, and food habits of participants during 6–12 weeks postpartum were filled by a trained questionnaire. A comprehensive second questionnaire will be used as a follow-up within 2 years of the date of entering the study, based on predicted plane, to identify postpartum problems among mothers or their infants. The questionnaires were completed by an independent and trained researcher at the prenatal care center and postpartum data were collected by a member of the research team in our cohort center. Short forms of delivery were completed during 3–5 days after delivery in 2 main centers for screening of neonatal hypothyroidism.
2.4. Postpartum Biochemical and Clinical Assessment
FPG and 75 g 2-hour oral glucose tolerance test were performed at 6–12 weeks after delivery and these tests will be repeated annually for up to two years postpartum. Fasting plasma glucose ≥ 126 mg/dL or 2 hour plasma glucose after a 75 g oral glucose load ≥ 200 mg/dL was defined as diabetes, and prediabetes was diagnosed with fasting plasma glucose between 100 and 125 mg/dL or 2 h post-glucose loading level between 140 and 199 mg/dL according to ADA criteria . Diagnosis of diabetes was confirmed if a second test was positive using the same criteria.
Blood samples were transported to the laboratory at the Diabetes Research Center, where the research coordinator and two laboratory technicians evaluated blood samples using the standard methods. Prepregnancy weight was recorded using medical and health profile. Weight, height, waist circumference, blood pressure, and hip circumference were measured at each visit during pregnancy and postpartum follow-up.
2.5. Statistical Analysis
Statistical analysis was performed with Statistical Package for the Social Sciences (SPSS version 22). Clinical, biochemical, and sociodemographic characteristics of women who progressed to postpartum glucose intolerance compared with women with normal glucose tolerance using univariate logistic regression analysis. Risk factors with value less than 0.05 were tested in multivariate backward regression model.
2.6. Ethics Statement
The study protocol was approved by the Ethics Committee of Ahvaz Jundishapur University of Medical Sciences and all participants signed written informed consent form in addition to the first verbal agreement to taking part in the baseline visit.
Until now, of 800 women who were diagnosed as GDM, 176 women (22%) aged between 17–45 years underwent a postpartum OGTT at 6–12 weeks after delivery. About half of these participants had high school education. Most of them were housewives (92.4%). The mean prepregnancy BMI was 27.82 kg/m2 (±4.41 SD). Records showing overweight or obesity were observed in 126/176 (71.6%) of participants based on prepregnancy BMI (Table 1). This rate was 79% (48.9% overweight and 30.1% obesity) using postpartum BMI. Birth weight ≥ 4000 gr was seen in 22 (12.5%) of newborns who had been exposed to GDM during the fetal period. A history of previous GDM was reported by 20.5% of multigravida participants.
Demographic and clinical characteristics associated with postpartum glucose test results are presented in Table 1. Mean gestational age at diagnosis of GDM was 19.83 weeks (range 4–37 weeks, ±8.46 SD). During oral glucose tolerance test, FPG ≥ 92 mg/dL, 1-hour plasma glucose level ≥ 180 mg/dL, and 2-hour plasma glucose concentration ≥153 mg/dL were detected in 65.9%, 34.7%, and 38.6% of women with gestational diabetes, respectively. Mean ± SD of clinical and laboratory characteristics of women with GDM based on results of postpartum 75 g OGTT are presented in Table 2.
The overall incidence of early postpartum glucose intolerance was 22.2% (95% CI, 16.3–29.0) inclusive of 17.6% prediabetes (95% CI, 12.3–24.1) and 4.5% diabetes (95% CI, 2.0–8.8%). Risk factors of persistent hyperglycemia at 6–12 weeks after GDM pregnancy were inclusive of FPG ≥ 100 at the time of OGTT in pregnancy, earlier diagnosis of GDM in pregnancy, systolic blood pressure, and the need for insulin inject or metformin therapy. Results of univariate and multivariate analysis using backward logistic regression are presented in Table 3.
4.1. Postpartum Glucose Intolerance Rate
Incidence of glucose intolerance at 6–12 weeks after GDM pregnancy determined in this study was 22.5% (17.5% prediabetes and 4.5% type 2 diabetes).
These high estimated rates are consistent with results reported by Tovar et al. . They reviewed 11 studies conducted between 2008 and 2010. Proportion of diabetes and prediabetes at 6–12 weeks postpartum were 1.2–4.5% and 12.2–36%, respectively. Rate of diabetes in our study was also consistent with that of Capula et al.  study on Caucasian women in Southern Italy at 6–12 weeks postpartum (4%) and Inturrisi et al. (4% to 9%) , but lower than previous reports in Asian women by Jang et al. (5–15%) [34, 35] and Korean women in Kwak et al. study (12.5%) .
In present study rate of prediabetes was in range with many previous reports  but lower than recent reports from Korea by Cho et al. (44.1%)  and that reported by Capula and colleagues (32.1%) .
Different ethnic groups with different backgrounds including prevalence of diabetes mellitus, obesity, metabolic syndrome, and variation in rate of severe hyperglycemia in pregnancy using different criteria for GDM diagnosis in pregnancy and classification of postpartum glucose intolerance may have caused this wide variation in rates.
4.2. Determinants of Postpartum Glucose Intolerance
Multivariate regression test showed that risk factors associated with persistent glucose intolerance 6–12 weeks postpartum were inclusive of earlier diagnosis of GDM, use of insulin or metformin for management of GDM, FPG ≥ 100 at the time of OGTT, and systolic blood pressure.
Various potential risk factors have been determined in other research for prediabetes or diabetes in early postpartum period previously [35, 38, 39]. Kwak et al. compared early and late clinical risk factors for progression of postpartum glucose intolerance. Except early detection of GDM and use of insulin, in early converters, no differences have been reported between the 2 groups (early and late converters) .
4.3. Gestational Age at Diagnosis
Consistent with results of this study, earlier diagnosis of GDM in pregnancy before increasing resistance to insulin between 16 and 26 weeks of gestation [7, 40] is reported as a common risk factor associated with progression to later glucose intolerance in women with GDM. Results of a systematic review on 39 studies including 95,750 women demonstrated higher risk of progress to abnormal glucose tolerance in women diagnosed with GDM in early weeks of gestation (RR 2.13, 95% CI 1.52–3.56) . Although there is strong evidence in support of these results, some controversy remains over screening high risk pregnant women in earlier weeks of gestation .
4.4. Use of Insulin or Metformin
In the present study, pharmacotherapy (use of insulin or metformin) for management of hyperglycemia in pregnancy was strong predictor of progression to abnormal glucose tolerance at 6–12 weeks postpartum (OR 3.14; 95% CI; 1.20–8.21). Rate of postpartum glucose intolerance in women who were treated with insulin was 54.4% versus 41.7% in women who had taken metformin while the same rate was 15.4% in diet-only group.
Need for treatment with insulin or metformin as an indicator of severity of hyperglycemia may reflect impairment in β-cell function in women exposed to gestational diabetes. Pellonperä et al. studied women with GDM with two or more abnormal glucose values at 2 h 75 g OGTT, for a period of one year postpartum. This study showed higher incidence of prediabetes in metformin and insulin users (19.1% and 15.6%, resp.) than women treated with diet only (7.1%, ). Also, the rate of diabetes was lower in the diet treatment group () . In addition, findings reported by Ziegler et al.  showed 92.3% of German women who used insulin in pregnancy progressed to diabetes during the 15-year period after GDM pregnancy versus 39.7% in the diet treatment group. Median years of diabetes-free duration in women who had taken insulin was 2.1 years. This duration in the diet-only treatment group was 16.3 years.
4.5. FPG during OGTT
Another risk factor for progression of abnormal glucose tolerance in present study was a higher level of FPG (≥100) at the time of OGTT, during a 24–32 weeks’ gestation period (OR 3.86; 95% CI; 1.60–9.32).
Fasting glucose on OGTT is a common risk factor associated with prediabetes and diabetes after GDM pregnancy [14, 43, 44]. Moreover, elevated fasting glucose level at the time of OGTT had been a strong factor associated with insulin therapy in pregnancy. Different cut-off values based on applied criteria for diagnosis of GDM were reported for this association [45–47]. Another report by Langer showed that fasting glucose > 105 mg/dL was associated with fetal macrosomia, hypoglycemia in newborn infants, cesarean delivery, and a need for insulin therapy . Previous studies have failed to determine an association between fasting glucose and future progression to type 2 diabetes for several reasons as follows: it was not measured ; the variable was not entered in the statistical model ; or modeling excluded GDM women with high fasting glucose level [39, 51] in the studies [7, 52].
4.6. Blood Pressure
This study determined systolic blood pressure as another related risk factor. Hypertensive disorder in pregnancy (RR 1.38; 95% CI; 1.32–1.45) was associated with future diabetes based on the systematic review and meta-analysis reported in Rayanagoudar et al. . Feig et al. showed that women with hypertensive disorder in pregnancy had a 2-fold increased risk of developing diabetes by 16.5 years after pregnancy, even in women without GDM . In addition, women with preeclampsia and gestational hypertension had insulin resistance independent of obesity and abnormal glucose tolerance during pregnancy [54, 55].
4.7. Other Factors
In the present study there was no association of maternal age at pregnancy, maternal education and occupation, parity, and family history of diabetes with development of glucose intolerance in the early postpartum period. Some previous studies have shown an association of maternal age, parity, and a family history of diabetes with glucose intolerance, but reports are inconsistent [7, 39, 52].
No significant association was determined between total weight gain during pregnancy, BMI, and obesity before pregnancy and postpartum glucose intolerance at 6–12 weeks postpartum. Women with higher blood glucose levels, who had a high chance of early postpartum progression to abnormal glucose intolerance, usually received a strict diet program that controlled their weight gain during pregnancy . Body mass index was also reported as a significant risk factor for progression to glucose intolerance after GDM pregnancy in previous studies, but there was no consistency after adjusting for other covariates. The studies that show this association resulted from long-term evaluation of a GDM group [57, 58]. Similar to results of this study, other research has reported no association between BMI and glucose intolerance in early postpartum follow-up .
In present study 56.8% of women with gestational diabetes underwent cesarean delivery. High rate of cesarean delivery (48%) in Iranian population is reported by Azami-Aghdash et al. . Mean birth weight was 3378 gr (±557 gr SD) in GDM-exposed newborns. Results of a systematic review conducted by Mirmiran et al. showed mean weight of Iranian newborns at birth has been 3152 gr (95% CI = 3114–3189) .
Moreover, based on our results, rate of preterm delivery was 8%. This rate in general population reported 9.2% (95% CI: 7.6–10.7) by Vakilian et al. , based on the random effect model in a systematic meta-analysis.
Preterm delivery was associated with higher risk of progression to postpartum glucose intolerance using univariate analysis but was not determined as a risk factor when adjusted in the multivariate model. Rayanagoudar et al. showed preterm delivery increases risk of diabetes in women with GDM (RR 1.81; 95% CI; 1.35–2.43) . Our results related to preterm delivery could probably reach a significant level with increased number of subjects during future months of the study. Also, the role of some variables may change in a long-term follow-up.
4.8. Limitation and Strength
There were two main limitations in this study. Despite using different methods of communication, the rate of postpartum return for glucose testing and follow-up was low. This may be a source of bias. Participants in this study were compared in terms of sociodemographic and clinical characteristics and those who did not return for follow-up. There were no significant differences between the two groups. A similar problem has been reported in several previous studies [18, 19]. Another limitation was the relative small sample size. Ongoing sampling in future months may change the chances of some variables as significant risk factors and improve a wide range of confidence interval (CI) in multivariate analysis.
The strength of this study was that it involved husbands of patients at follow-up in order to decrease the chance of attrition bias. In addition, using a combination of different methods for recall and by sending reminders, this study benefited from its use of social media. To the best our knowledge, this study is the first population-based prospective cohort study in this area to follow postpartum metabolic outcome of gestational diabetes in mothers and their offspring that included several variables.
Gestational diabetes is a risk factor for postpartum progression to glucose intolerance. Short-term postpartum follow-up of women with GDM showed a relatively high rate of glucose intolerance among women in this population. This finding highlighted the need for early postpartum screening and implementation of an intervention program to prevent type 2 diabetes, particularly in women whose GDM was diagnosed during the earlier weeks of gestation, mothers with higher fasting glucose level at the time of OGTT, higher blood pressure in pregnancy, and patients who required pharmacotherapy for management of hyperglycemia.
The authors declare that there are no competing interests regarding the publication of this paper.
The authors gratefully acknowledge all of the participants in the studies. Our sincere appreciation goes to public health students and public and private prenatal care personnel and staff at the Diabetes Research Center at Ahvaz Jundishapur University of Medical Sciences for their assistance in collecting data. This manuscript is a part of a Ph.D. thesis written by Nouhjah which was approved and granted by Ahvaz Jundishapur University of Medical Sciences (Registration no. D-9405, Ethic code: IR.AJUMS.REC.1394.252).
A. Duran, S. Sáenz, M. J. Torrejón et al., “Introduction of IADPSG criteria for the screening and diagnosis of gestational diabetes mellitus results in improved pregnancy outcomes at a lower cost in a large cohort of pregnant women: the St. Carlos Gestational Diabetes Study,” Diabetes Care, vol. 37, no. 9, pp. 2442–2450, 2014.View at: Google Scholar
M. Jafari-Shobeiri, M. Ghojazadeh, S. Azami-Aghdash et al., “Prevalence and risk factors of gestational diabetes in Iran: a systematic review and meta-analysis,” Iranian Journal of Public Health, vol. 44, no. 8, pp. 1036–1044, 2015.View at: Google Scholar
H. Shahbazian, S. Nouhjah, N. Shahbazian et al., “Gestational diabetes mellitus in an Iranian pregnant population using IADPSG criteria: incidence, contributing factors and outcomes,” Diabetes and Metabolic Syndrome: Clinical Research and Reviews, vol. 10, no. 4, pp. 242–246, 2016.View at: Publisher Site | Google Scholar
A. Ferrara, T. Peng, and C. Kim, “Trends in postpartum diabetes screening and subsequent diabetes and impaired fasting glucose among women with histories of gestational diabetes mellitus: a report from the translating research into action for diabetes (TRIAD) study,” Diabetes Care, vol. 32, no. 2, pp. 269–274, 2009.View at: Publisher Site | Google Scholar
G. Rayanagoudar, A. A. Hashi, J. Zamora, K. S. Khan, G. A. Hitman, and S. Thangaratinam, “Quantification of the type 2 diabetes risk in women with gestational diabetes: a systematic review and meta-analysis of 95,750 women,” Diabetologia, vol. 59, no. 7, pp. 1403–1411, 2016.View at: Publisher Site | Google Scholar
S. Nouhjah, E. Amiri, A. Khodai, A. Yazdanpanah, and M. N. Baghu, “Popular contraceptive methods in women aged 35 years and older attending health centers of 4 cities in Khuzestan province, Iran,” Iranian Red Crescent Medical Journal, vol. 15, no. 10, 2013.View at: Google Scholar
S. Nouhjah, M. Nadi-Baghu, M. Salehi, and H. Ghajari, “Prevalence of overweight, obesity and the related factors in women aged 35—57 years in Khuzestan Province of Iran,” Advanced Studies in Biology, vol. 4, no. 2, pp. 57–65, 2012.View at: Google Scholar
S. M. Latifi, M. Karandish, H. Shahbazian, and L. Hardani Pasand, “Incidence of prediabetes and type 2 diabetes among people aged over 20 years in ahvaz: a 5-year perspective study (2009–2014),” Journal of Diabetes Research, vol. 2016, Article ID 4908647, 6 pages, 2016.View at: Publisher Site | Google Scholar
H. Shahbazian, S. M. Latifi, and S. Nouhjah, “Cut-off point of waist circumference used for the diagnosis of metabolic syndrome among adult population in ahvaz, Southwestern Iran,” Jentashapir Journal of Health Research, vol. 6, no. 4, Article ID e30588, 2015.View at: Publisher Site | Google Scholar
“Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus,” Diabetes Care, vol. 20, no. 7, pp. 1183–1197, 1997.View at: Google Scholar
A. Tovar, L. Chasan-Taber, E. Eggleston, and E. Oken, “Postpartum screening for diabetes among women with a history of gestational diabetes mellitus,” Preventing Chronic Disease, vol. 8, no. 6, article A124, 2011.View at: Google Scholar
C. Capula, E. Chiefari, A. Vero, D. P. Foti, A. Brunetti, and R. Vero, “Prevalence and predictors of postpartum glucose intolerance in Italian women with gestational diabetes mellitus,” Diabetes Research and Clinical Practice, vol. 105, no. 2, pp. 223–230, 2014.View at: Publisher Site | Google Scholar
G. J. Cho, J.-J. An, S.-J. Choi et al., “Postpartum glucose testing rates following gestational diabetes mellitus and factors affecting testing non-compliance from four tertiary centers in Korea,” Journal of Korean Medical Science, vol. 30, no. 12, pp. 1841–1846, 2015.View at: Publisher Site | Google Scholar
K. Stanley, R. Fraser, and C. Bruce, “Physiological changes in insulin resistance in human pregnancy: longitudinal study with the hyperinsulinaemic euglycaemic clamp technique,” British Journal of Obstetrics and Gynaecology, vol. 105, no. 7, pp. 756–759, 1998.View at: Publisher Site | Google Scholar
O. Pellonperä, T. Rönnemaa, U. Ekblad, T. Vahlberg, and K. Tertti, “The effects of metformin treatment of gestational diabetes on maternal weight and glucose tolerance postpartum—a prospective follow-up study,” Acta Obstetricia et Gynecologica Scandinavica, vol. 95, no. 1, pp. 79–87, 2016.View at: Publisher Site | Google Scholar
B. E. Metzger, D. E. Bybee, N. Freinkel, R. L. Phelps, R. M. Radvany, and N. Vaisrub, “Gestational diabetes mellitus. Correlations between the phenotypic and genotypic characteristics of the mother and abnormal glucose tolerance during the first year postpartum,” Diabetes, vol. 34, supplement 2, pp. 111–115, 1985.View at: Publisher Site | Google Scholar
J. Juutinen, A.-L. Hartikainen, R. Bloigu, and J. S. Tapanainen, “A retrospective study on 435 women with gestational diabetes: fasting plasma glucose is not sensitive enough for screening but predicts a need for insulin treatment,” Diabetes Care, vol. 23, no. 12, pp. 1858–1859, 2000.View at: Publisher Site | Google Scholar
O. Bakiner, E. Bozkirli, K. Ozsahin, C. Sariturk, and E. Ertorer, “Risk factors that can predict antenatal insulin need in gestational diabetes,” Journal of Clinical Medicine Research, vol. 5, no. 5, pp. 381–388, 2013.View at: Google Scholar
M. W. O'Reilly, G. Avalos, M. C. Dennedy, E. P. O'Sullivan, and F. Dunne, “Atlantic DIP: high prevalence of abnormal glucose tolerance post partum is reduced by breast-feeding in women with prior gestational diabetes mellitus,” European Journal of Endocrinology, vol. 165, no. 6, pp. 953–959, 2011.View at: Publisher Site | Google Scholar
T. A. Buchanan, A. H. Xiang, S. L. Kjos, E. Trigo, W. P. Lee, and R. K. Peters, “Antepartum predictors of the development of type 2 diabetes in Latino women 11-26 months after pregnancies complicated by gestational diabetes,” Diabetes, vol. 48, no. 12, pp. 2430–2436, 1999.View at: Publisher Site | Google Scholar
Ö. S. Kerimoglu, S. Yalvaç, D. Karçaaltinçaba, and Ö. Kandemir, “Incidence of diabetes mellitus at postpartum six to twelve months following the diagnosis of gestational diabetes mellitus,” Journal of the Turkish German Gynecology Association, vol. 11, no. 2, pp. 89–94, 2010.View at: Publisher Site | Google Scholar
J. Sierra-Laguado, R. G. García, J. Celedón et al., “Determination of insulin resistance using the homeostatic model assessment (HOMA) and its relation with the risk of developing pregnancy-induced hypertension,” American Journal of Hypertension, vol. 20, no. 4, pp. 437–442, 2007.View at: Publisher Site | Google Scholar
M. G. Dalfrà, A. Lapolla, M. Masin et al., “Antepartum and early postpartum predictors of type 2 diabetes development in women with gestational diabetes mellitus,” Diabetes and Metabolism, vol. 27, no. 6, pp. 675–680, 2001.View at: Google Scholar
S. Azami-Aghdash, M. Ghojazadeh, N. Dehdilani, M. Mohammadi, and R. Asl Amin Abad, “Prevalence and causes of cesarean section in Iran: systematic review and meta-analysis,” Iranian Journal of Public Health, vol. 43, no. 5, pp. 545–555, 2014.View at: Google Scholar
K. Vakilian, M. Ranjbaran, M. Khorsandi, N. Sharafkhani, and M. Khodadost, “Prevalence of preterm labor in Iran: a systematic review and meta-analysis,” Iranian Journal of Reproductive Medicine, vol. 13, no. 12, pp. 743–748, 2015.View at: Google Scholar