1. Introduction
Gestational Diabetes Mellitus (GDM) is defined as an abnormal glucose tolerance with onset or initial detection during pregnancy. The prevalence of GDM is increasing [
1], and it represents one of the most common medical complications of pregnancy [
2]. In addition to its well-known obstetric and neonatal complications [
3], GDM is a recognized risk factor (RF) for future maternal and offspring obesity [
4], abnormal glucose regulation (AGR), T2DM [
4,
5], and cardiovascular disease [
6,
7]. Different RF have been identified for GDM, including maternal overweight/obesity, delayed childbearing, a prior history of GDM, a family history of T2DM, and ethnicity [
1,
2,
8,
9]. Appropriate screening, diagnosis, and treatment [
6] have been related to improved pregnancy outcomes. However, there is a lack of consensus for long-term follow-up management and preventive strategies in women with a prior history of GDM as well as for their offspring [
2].
For short-term follow-up, scientific societies recommend postnatal assessment of glycemic status at 3 months postpartum in women diagnosed with GDM, to detect current AGR, as well as to determine the future risk for developing T2DM and cardiovascular disease [
1,
6,
10,
11]. Remarkably, abnormal glucose regulation (AGR) at 3 months postpartum has also been observed in women without a history of GDM, suggesting that pregnancy might be a pro-diabetogenic state [
12,
13,
14,
15]. In neither women with prior AGR nor those with NGT have risk factors for subsequent AGR been fully established. Thus, both progression to AGR from normoglycemia as well as reversion to normal glucose regulation (NGR) from AGR may be possible. In fact, both reversion to NGT and progression to T2DM and the metabolic syndrome (MetS) have been described in populations with prediabetes [
16,
17]. Nevertheless, detection and optimal management may be crucial for return to a normoglycemic state.
The San Carlos GDM Prevention Cohort comprises different studies for the prevention of GDM with a Mediterranean Diet(MedDiet)-based early nutritional intervention, enhanced with extra virgin olive oil (EVOO) and nuts [
18,
19] initiated before gestational week (GW) 12. Women from this cohort were evaluated during pregnancy, as well as in short and long-term follow-up, thereby representing a unique sample to assess postnatal glucose changes as well as to determine risk factors and potential target populations in whom preventive strategies should be intensified.
The aim of this study was to assess rates of reversion to NGR, persistence of AGR, progression to AGR, or persistence of normoglycemia at 3 years postpartum, according to data collected at 3 months postpartum in participants included in the San Carlos GDM Prevention Cohort as well as to evaluate potential RF that could affect changes in glucose regulation.
2. RESEARCH DESIGN AND METHODS.
2.1. Study design
The study population originated from the San Carlos GDM Prevention Cohort which includes several studies:
The San Carlos GDM Prevention Study a randomized controlled trial (ISRCTN84389045;
https://doi.org/10.1186/ISRCTN84389045) directed towards evaluating the effect of an intervention based on a MedDiet enriched with EVOO and nuts on the incidence of GDM. The results indicated the intervention reduced the incidence of GDM and adverse pregnancy outcomes [
18].To translate these beneficial effects, these recommendations were adopted as standard nutritional management in a real-world study in clinical practice (ISRCTN13389832;
https://doi.org/10.1186/ISRCTN13389832) [
19]. This study was a prospective, clinical-based, interventional study with a single group. Women received a motivational lifestyle interview with emphasis on daily consumption of EVOO and nuts. Finally, a prospective, clinical-based randomized intervention study was carried out to test whether different components of MedDiet, in particular EVOO and nuts, had a different effect on the likelihood of developing GDM in pregnant women with a BMI ≥ 25 and < 35 kg/m
2 (ISRCTN16896947;
https://doi.org/10.1186/ISRCTN16896947).
The Institutional Review Board and The Clinical Ethics Committee of the Hospital Clínico San Carlos approved the aforementioned studies (CI 13/296-E, CI 16/442-E and CI 16/316). Written informed consents were provided and signed by all participants.
2.2. Study population
Universal screening for GDM is performed in all pregnant women in our setting. Eligible participants were recruited by the Endocrinology and Nutrition Department of the Hospital Clínico San Carlos, a tertiary hospital in Madrid, Spain, with a reference healthcare population of approximately 445,000 patients, between January 2015 and November 2017, and followed-up a median of 3 years after delivery.
Inclusion criteria were: pregnancy in women ≥18 years of age, normoglycemia at 8-12 GW (FSG <92 mg/dL, 5.1 mmol/L) and a single gestation. Exclusion criteria included: gestational age at entry ≥14 GW, pre-gestational diabetes or FSG ≥92 mg/dL (≥5.1 mmol/L), multiple pregnancy, intolerance to nuts or EVOO, new pregnancy during the 3-year follow-up, and medical conditions or pharmacological therapy that could compromise the effect of the intervention and/or the follow-up program.
A total of 3,026 women attending their first gestational visit at 8-12 GW were assessed for inclusion. From these, 2,529 were followed until delivery. Finally, 1,400 women (55.4 %) participated in the 3-years-postpartum follow-up program.
2.3. Study timeline and intervention
The gestational protocol has been previously reported [
18,
19].
Postpartum Follow-up protocol:
Visit 1, 3 months postpartum: Clinical evaluation, dietary questionnaire, blood and urine sample, and a motivational lifestyle interview. This meeting was held with all women regardless of whether they belonged to the control or intervention group, or whether they had had GDM or not. It consisted in guidance from dieticians in a 1-hour group session. The recommendations were similar for all women in both the control group and intervention group: reinforcement of MedDiet adherence and >40 mL daily EVOO consumption (raw and for cooking), and at least 25–30 g of pistachios >3 days/week.
Visit 2, 3 years postpartum: Clinical evaluation, dietary questionnaire, blood and urine sample, with a 2-hour 75-g OGTT.
2.4. Data collection
Clinical and anthropometric data were collected: maternal age; ethnicity; education; employment; smoking status; personal history (hypertension, dyslipidemia, obesity, other diseases); obstetric history (number or pregnancies, prior GDM, miscarriages); family history (diabetes, hypertension, dyslipidemia, obesity and MetS, the latter considered when >2 components of the MetS were present in at least one first-degree family member). Pre-gestational body weight (BW), gestational BW, height, body mass index (BMI), blood pressure.
Laboratory tests: Blood samples were drawn after an overnight 8-10 hour fast. Fasting serum glucose (FSG) was determined by the glucose oxidase method, serum triglycerides with a colorimetric enzymatic method using glycerol phosphate oxidase p-amino phenazone (GPO-PAP). HbA1c levels were standardized by the International Federation of Clinical Chemistry and Laboratory Medicine using ion-exchange high-performance liquid chromatography in gradient, with a Tosoh G8 analyzer (Tosoh Co., Tokyo, Japan). Serum insulin was determined by a chemiluminescence immunoassay in an Inmmulite 2000 Xpi (Siemens, Healthcare Diagnostics, Munich, Germany). The homeostatic model assessment-insulin resistance (HOMA-IR) was calculated as FSG (mmol/L) x fasting serum insulin (FBI) (µU/mL) / 22.5. Serum levels of high-density lipoprotein cholesterol (HDL-c) were measured in an Olympus 5800 (Beckman-Coulter, Brea, CA, USA).
Dietary and lifestyle assessment: The Diabetes Nutrition and Complication Trial (DNCT) questionnaire was used to assess physical activity and eating habits, as previously described [
21]. The 14-point Mediterranean Diet Adherence Screener (MEDAS) was used to evaluate the adherence to a MedDiet pattern [
22]. These were filled out at each visit by a dietician in a personal interview.
2.5. Categorization of glucose testing at 3 months and 3 years postpartum
Categories based on FSG and/or HbA1c at 3 months after delivery: we defined women with a FSG <100 mg/dL (< 5.6 mmol/L) and HbA1c <5.7% (<39 mmol/mol) as NGR, and ≥100 mg/dL (5.6 mmol/L) and/or HbA1c ≥5.7% (39 mmol/mol) as AGR. At 3 years postpartum, a 2-hour serum glucose during 75-g OGTT ≥140/mg/dL was considered abnormal, while <140 was considered normal [
23].
2.6. Unmodifiable and modifiable RF
-Three non-modifiable RF have been considered in this study: -A family history of T2DM and/or >2 components of the MetS (categorized as 0: if none, 1: ≥1 presented). -Parity (0: primiparous, 1: multiparous), and -Age (0: <35, 1: ≥35 years). Women were classified as being in an unfavorable category when 2 or 3 unmodifiable risk factors coexisted.
Twelve modifiable RF have been considered: -Pre-pregnancy and – 3-month postpartum BMI (0: <25, 1: ≥25 kg/m2. -Weight change, defined as the difference between BW at 3 months postpartum and pre-pregnancy BW (0: ≤0, 1: >0 kg). -Waist circumference adapted for the Spanish population (0: <89.5 cm, 1: >89.5 cm). -Hypertension (0: systolic blood pressure (SBP) <130 and diastolic blood pressure (DBP) <85 mmHg, 1: SBP ≥130 and/or DBP ≥85 mmHg). -Dyslipidemia (0: HDL-c ≥50 mg/dL and triglycerides <150 mg/dL, 1: HDL-c <50 mg/dL and/or triglycerides ≥150 mg/dL). -Alcohol consumption in the post-natal period (0: between15 and 30 g alcohol/day, 1: <15 or ≥30 g alcohol/day). Smoking habits (0: no or former, 1: smokers). The eating pattern was evaluated using -the Nutrition questionnaire (0: ≥4, 1: <4 score) and -MEDAS (0: >6, 1: <6 score). Physical activity was evaluated with the -activity score (PAS) (0: ≥0, 1: <0 score) and - daily minutes of sport activity of at least moderate intensity (0: ≥15, 1: <15 min/day). Women were classified in the unfavorable group when >5 modifiable risk factors coexisted.
2.7. Study outcomes
The primary endpoint was to evaluate glycemic status at 3 years postpartum based on the 3-month-postpartum glycemic state. Specifically, the 3-year reversion or persistence of AGR and the 3-year progression or persistence of (NGR) rates were considered.
The secondary endpoint was to identify different pre-gestational, gestational and 3-month post-delivery risks factors that could impact on glycemic changes.
2.8. Statistical analysis
Variables are presented with their number and frequency distribution or the median and interquartile range (IQR). Continuous variables are given by their mean and standard deviation (±SD) and were compared using Student’s t test or the Mann–Whitney U test if the distribution of quantitative variables was not normal, as verified by the Shapiro-Wilk test. Comparison between group characteristics for categorical variables was evaluated by the χ2 test.
The magnitude of association between 3-year-postpartum glucose regulation status (persistence or reversion of normoglycemia, and progression or persistence of abnormal glucose regulation) and modifiable or unmodifiable risk factors were evaluated using the crude odds ratio (OR) and 95% confidence interval (95%CI).
All p values are 2-tailed at <0.05. Analyses were performed using SPSS, version 21 (Chicago, Illinois).
3. RESULTS
Women participants were older than non-participants, were more frequently non-smokers, held university degrees, and were qualified workers. Additionally, they showed higher scores in the Nutrition and MEDAS questionnaires when compared to non-participants. However, the rate of GDM (20.6% vs 15.2%), pre-term deliveries, and small for gestational age babies, was higher in participants. No differences in anthropometric, blood pressure, glycemic and lipid parameters were found between the two groups (
Table 1).
A total of 110 women (7.9%) presented AGR at 3 months postpartum. They were more frequently of Hispanic origin, and had a lower rate of college-level studies compared to women with NGR. They also had a higher pregestational BW and BMI, and during pregnancy presented a higher rate of GDM (44% vs 19%; p<0.001), preeclampsia, and newborn SGA, and a more unfavorable 3-month-postpartum metabolic profile (
Table 2).
Of 137 (9.8%) women exhibiting AGR 3 years postpartum, 27 (1.9%) had it at 3 months while 110 (7.9%) were NGT at 3 months. Of the 1,263 (90.2%) women with NGT at 3 years postpartum, 1,180 (84.3%) maintained it from the beginning, while 83 (5.9%) normalized glucose regulation from 3-month-postpartum (
Table 3).
Women were classified into groups according to their 3-month-postpartum glucose regulation status:
Persistence of AGR: At 3 years postpartum, 27/110 women (24.5%) maintained AGR. These women were older, presented a higher BMI, waist circumference and lower HDL-cholesterol levels at 3 months postpartum. Furthermore, their BW was higher at 3-year follow-up and they had lost less weight from 3 months to 3 years, compared to those women who reverted to normoglycemia.
-AGR reversion to normoglycemia: Of a total of 83/110 (75.5%) women with AGR at 3 months postpartum, 83 (75.5%) normalized their glucose parameters at 3 years postpartum. Women who reverted their altered glycemic state were younger and presented a lower body mass index and waist circumference measure and higher HDL levels at 3 years postdelivery than women with persistence of AGR. No differences were found in the rest of the anthropometric, metabolic and clinical variables studied in both groups, including the pre-gestational body weight
-AGR progression: Of the 1290 women with normoglycemia at 3 months postdelivery, 110 women (8.5%) progressed to AGR at 3 years postdelivery. Compared to women with NGR persistence, women with AGR progression were older and presented a higher BMI, waist circumference and triglyceride levels at 3 months postpartum. In this latter group, pre-gestational obesity was more prevalent, and they showed more weight gain at 3 months and 3 years postdelivery compared to their pre-gestational weight and thus, lose less weight during follow-up, from 3 months to 3 years.
-NGR persistence: 1180/1290 (91.5%) women with NGR at 3 months postpartum maintained normal glucose regulation at 3 years postpartum. These women had a more favorable body weight evolution, losing more weight and/or gaining less weight that those women who did not maintain normoglycemia. These women also had a lower rate of pre-gestational obesity, and a lower age at pregnancy.
Analysis of modifiable and unmodifiable risk factors
Logistic regression analysis was used to identify independent predictors of the glycemic changes. Women with GDM were more likely to progress to AGR at 3 years postpartum, and less likely to remain normoglycemic compared with NGT women. Having at least 2 unmodifiable risk factors was associated with a reduction in the rate of persistence of normoglycemia and an increased risk of progression to AGR. Similarly, being overweight/obese pregestation, having regained pregestational weight at 3 months and having a central distribution of fat reduced the rate of persistence of NGR at 3 years postpartum, and increased the probability of progression to AGR. Having >5 unfavorable modifiable risk factors was associated with a reduction in the rate of persistence of NGR (0.74:0.51-0.99) and reversion of AGR (0.49:0.25-0.97), and was also associated with an increased risk of progression to AGR (1.40:1.00-2.09) and persistence of AGR (2.57:1.05-6.31), all p<0.05), respectively. Data are shown in
Table 4.
4. DISCUSSION
Gestational diabetes mellitus markedly increases the risk for later development of T2DM [5,24-26] and cardiovascular disease [
26]. While most studies focus on GDM detection and the risk of developing diabetes later in life, there is limited evidence of glycemic dysregulation after a normal gestation or of NGT at 3 months postpartum. Yet, optimal detection and management might be crucial to avoid detrimental long-term outcomes.
The present prospective 3-year follow-up study of women with AGR (7.9%) or NGR (92.1%) at 3 months postpartum with or without prior GDM diagnosis showed that 24.5% of those with AGR maintained AGR at 3-year postpartum, while 75.5% reverted to NGR. Furthermore, AGR at 3-year-follow-up was observed in 8.5% of women with NGR 3 months postpartum. Therefore, a normal glucose profile during pregnancy or 3 months postdelivery does not guarantee normoglycemia in young women post-pregnancy, even in the absence of a prior GDM diagnosis. Women with GDM were less likely to remain normoglycemic than NGT women during gestation, and more likely to progress to AGR at 3 years postpartum.
Previous studies deal primarily with follow-up of patients with prior GDM. Furthermore, they focus on the risk for development of T2DM following delivery [
27,
28,
29]. However, Retnakaran et al [
30], reported that 17.1% of women with recent GDM followed by NGT at 3 months postpartum progressed to AGR when reassessed 9 months later. Furthermore, these authors found that even in women with milder degrees of gestational glucose intolerance, the incidence of prediabetes/diabetes at 1-year post-partum was around 10%, despite a normal 3-month OGTT [
30].
The current study broadens the scope of evaluation of post-pregnancy disorders, by focusing on glycemic changes following pregnancy regardless of glycemic status during gestation. AGR 3 months postpartum was observed in 7.9% of the women, 40% of them with a prior diagnosis of GDM. This figure represents a lower prevalence than previously reported, with AGR rates ranging from 11 to 36% [
31,
32,
33,
34]. However, study heterogeneity hinders an adequate comparison of results, as GDM diagnostic criteria were not uniform. Nor was there homogeneity in the timing and criteria of postpartum tests. Furthermore, the lower prevalence observed in our sample could be explained by a predominant Caucasian race of participants, and a more generalized MedDiet pattern in Spain.
Importantly, fully 60% of the women exhibiting AGR at 3 months postpartum did not have prior GDM. Although pregnancy is known to deteriorate glucose tolerance [
35], a majority of post-gestation studies have focused on women who had developed GDM [
31,
32,
33,
34]. Yet not studying non-GDR women prevents detection of postpartum AGR in a majority of women, according to our findings, excluding them from the early implementation of potentially beneficial clinical interventions.
In the current study, older women with a family history of type 2 diabetes and/or metabolic syndrome were less likely to present a normoglycemic status at 3-year follow-up. Furthermore, the risk for progressing from normoglycemia to abnormal glucose regulation at 3-year follow-up was higher in women exhibiting a combination of 2-3 unmodifiable risk factors. Within the modifiable risk factors, a higher pre-gestational and delivery BMI, greater gain weight during follow-up, central obesity, hypertension and less than 15 minutes per day of moderate physical activity were associated with a higher probability of progression to abnormal glucose regulation. In fact, the combination of >5 modifiable risk factors was linked to abnormal glucose regulation persistence.
Some of these factors have previously been related to later onset of diabetes in women with prior GDM, such as an older age, waist circumference ≥ 88 cm [
28], higher BMI [
30]. However, we did not find independent associations between insulin treatment during pregnancy and later onset of AGR or dyslipemia, as other studies have reported [
28,
29].
Out of the 2,529 women completed the gestation period study and 55.4% completed follow-up, a relatively high percentage given that women with new pregnancies were excluded. The high response rate could be related to the fact that long-term adherence to a MEdDiet enriched in EVOO and nuts together with physical activity was feasible for the women involved, thus promoting long-term adherence. However, other factors could have been decisive in the commitment of the women studied to compliance with the recommendations, such as a high educational status, and a better lifestyle habits.
The strengths of the current study include a complete assessment of a cohort of women, not limited to patient self-reference, but including a clinical and laboratory evaluation. In addition, to the best of our knowledge, this study provides one of the most comprehensive evaluations of different modifiable and non-modifiable risk factors to date, not only during pregnancy but also at pre-gestational and early post-partum stages, permitting identification of women more prone to abnormal glycemic changes. Another strength is that early screening at 3 months postpartum was universal for all women, regardless of their risk for glycemic disorders through follow-up of a MedDiet pattern enhanced with EVOO and nuts. This MedDiet pattern is feasible for all women to follow and could limit the rate of progression to AGR.
The study is not exempt from limitations. Firstly, the diagnostic criteria for AGR at 3 months postpartum were based on the use of HbA1c and FSG. The OGTT was not performed at 3 months but rather at 3 years postpartum. This could underestimate the rate of women with early AGR. However, >90% of participants were breastfeeding at that moment, and many women find the OGTT inconvenient. In fact, the rate of screening process attendance when the OGTT was in use was <60%. Additionally, we previously found that the combination of A1c-FSG may identify a similar number of women with prediabetes while assuring a higher rate of attendance to tests. Secondly, the rate of alcohol consumption was low in our population. This may be because alcohol consumption was not recommended during the breastfeeding period, and maintenance of lactation is encouraged. Thirdly, the time dedicated to exercise was quite limited in our population, with an average of 15 minutes daily in > 50% of women. We therefore cannot exclude the obtention of further benefits in women more physically active, beyond what we have observed in the current study. However, 15 minutes daily could be sufficient to obtain positive metabolic effects, and is not in the realm of the unattainable, even in the postpartum period.
In conclusion, according to the data obtained in the current study, only 40% of the women with AGR in the early postpartum evaluation had had GDM while the rest had been normoglycemic during pregnancy, suggesting that all women should be tested after delivery, with at least a FSG and A1c.
Women should be individually monitored after the pregnancy to detect early glycemic changes, in an attempt to avoid the long-term development of T2DM and cardiovascular complications. This is particularly important for those women who are over 35 years of age and have a family history of MetS. Our data indicate that a 3-year follow-up could be of particular benefit for women with pre-pregnancy overweight/obesity, and those who have not recovered their pre-pregnancy weight, and who also have a central distribution of body fat. Efforts must be made to ensure that at least 50% of the modifiable risk factors of the 12 evaluated in this study are favourable. These findings should be contemplated in the practical-clinical guidelines and applied in the settings in which these women are treated.
Author Contributions
MAR, AB, ALC-P, ADu, PMM, MAR, PdM, JAD, LdV, VM, JV, IR, MP, RMO were involved in Conceptualization and design, data curation, analysis and interpretation of data. AlC-P is responsible of funding acquisition. ALC-P, CF, IM, IJ, MAR, MJT, MMN, MP, Adu, PdM, AB, LdV, VM, JV; RMO. were involved in Supervision, Validation and Visualization Researched data, contributed to discussion, and investigation. MC, MP, PMM, MAR, MAR were involved in researched data and reviewed and edited the manuscript. Writing – original draft: ALC-P, MAR, VM, IR, PMM wrote the first draft of the manuscript Writing – review & editing: MAR, ALC-P, PMM, VM, IR. All authors have seen and agree with the content of the full last version of manuscript. AL C-P. is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
Funding
This research was funded by grants from the Instituto de Salud Carlos III/MICINN of Spain under grant number PI20/01758, and European Regional Development Fund (FEDER)‘‘A way to build Europe’’. The design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, and approval of the manuscript; and decision to submit the manuscript for publication are the responsibilities of the authors alone and independent of the funders.
Data and Resource Availability
The datasets generated during and/or analyzed in the current study are available from the corresponding author upon reasonable request.
Acknowledgments
We wish to acknowledge our deep appreciation to the administrative personnel and nurses and dieticians from the Laboratory Department (María Dolores Hermoso Martín, María Victoria Saez de Parayuelo RN, and Jose Luis Espadas), the Pregnancy and Diabetes Unit and to all members of the Endocrinology and Nutrition and Obstetrics and Gynecology departments of the Hospital Clinico Universitario San Carlos, Madrid, Spain.
Conflicts of Interest
The authors declare no potential conflicts relevant to this article. The research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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- 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). 1975;79:709-19.
Table 1.
Prepregnancy and pregnancy characteristics of women included in the San Carlos GDM Prevention Cohort eligible for the postdelivery program.
Table 1.
Prepregnancy and pregnancy characteristics of women included in the San Carlos GDM Prevention Cohort eligible for the postdelivery program.
| |
Non-participants (n=1129) |
Participants (n=1400) |
P
|
| Sociodemographic features |
| Age (years) |
32.1 ± 5.5 |
33.1 ± 4.9 |
0.001 |
Ethnicity Caucasian Hispanic Others |
724 (64.1) 364 (32.2) 41 (3.6) |
935 (66.8) 430 (30.7) 35 (2.5) |
0.040 |
| University Degree |
683 (60.5) |
964 (68.9) |
0.001 |
| Workers |
839 (74.3) |
1134 (81.0) |
0.001 |
Smoking status Never smokers Current smokers |
604 (53.5) 113 (10.0) |
801 (57.2) 95 (6.8) |
0.001 |
Pregnancies First Second Third or above |
458 (40.6) 347 (30.7) 324 (28.7) |
625 (44.6) 415 (29.6) 360 (25.7) |
0.251 |
Prior GDM Miscarriage |
37 (3.3) 417 (36.9) |
48 (3.4) 458 (32.7) |
0.535 0.018 |
| Family history of some components of the MetS |
463 (41.0) |
603 (43.1) |
0.130 |
| Pre-pregnancy features |
| Body weight (kg) |
61.9 ± 11.4 |
61.7 ± 11.2 |
0.655 |
| BMI (kg/m2) |
23.4 ± 4.0 |
23.4 ± 4.0 |
0.896 |
Questionnaires (scores) Nutrition MEDAS Physical activity |
± 3.2 4.8 ± 1.7 -1.8 ± 1.0 |
0.5 ± 3.1 5.0 ± 1.8 -1.9 ± 1.0 |
0.003 0.016 0.441 |
| Pregnancy and delivery features |
| SBP (mmHg) (8-12GW) |
109 ± 10 |
109 ± 10 |
0.167 |
| DBP (mmHg) (8-12GW) |
67 ± 9 |
67 ± 9 |
0.613 |
| FSG (mg/dL) (8-12GW) |
80 ± 6 |
80 ± 6 |
0.056 |
| HbA1c (%)(8-12GW) |
5.1 ± 0.3 |
5.2 ± 0.2 |
0.181 |
| HOMA-IR (8-12GW) |
1.2 ± 1.4 |
1.1 ± 1.3 |
0.126 |
| Triglycerides (mg/dL) (8-12GW) |
80 ± 33 |
82 ± 41 |
0.901 |
| GDM (24-28w) |
172 (15.2) |
289 (20.6) |
<0.001 |
| Body weight gain (24GW) |
7.4 ± 4.8 |
7.1 ± 4.1 |
0.176 |
| Body weight gain (38GW) |
11.7 ± 6.7 |
11.8 ± 6.3 |
0.863 |
| Insulin treatment |
40 (23.3) |
70 (24.2) |
0.432 |
| High BP or preeclampsia |
45 (4.0) |
53 (3.8) |
0.960 |
| Prematurity (< 37GW) |
40 (3.5) |
90 (6.4) |
0.001 |
| Cesarean section |
244 (21.6) |
296 (21.2) |
0.740 |
| LGA (> 90 percentile) |
42 (3.7) |
50 (3.6) |
0.471 |
| SGA (< 10 percentile) |
34 (3.0) |
80 (5.7) |
0.001 |
Table 2.
Comparison between women with abnormal glucose regulation (AGR) and normal glucose regulation (NGR) at 3 months postdelivery.
Table 2.
Comparison between women with abnormal glucose regulation (AGR) and normal glucose regulation (NGR) at 3 months postdelivery.
| |
Participants (n=1400) |
| |
NGR (n=1290) |
AGR (n=110) |
P
|
| Sociodemographic features |
| Age (years) |
33.1 ± 4.9 |
33.3 ± 4.6 |
0.724 |
Ethnicity Caucasian Hispanic Others |
878 (68.1) 383 (29.7) 29 (2.2) |
57 (51.8) 47 (42.7) 6 (5.5) |
0.002 |
| University Degree |
903 (70.0) |
61 (55.5) |
0.001 |
| Workers |
1051 (81.5) |
83 (75.5) |
0.231 |
Smoking status Never smokers Current smokers |
734 (56.9) 85 (6.6) |
67 (60.9) 10 (9.1) |
0.505 |
| First pregnancy |
585 (45.3) |
40 (36.4) |
0.422 |
Prior GDM Miscarriage |
42 (3.3) 411 (31.9) |
6 (5.5) 47 (42.7) |
0.347 |
| Family history MetS (>2 components) |
257 (19.9) |
25 (22.7) |
0.893 |
| Pre-pregnancy features |
| Body weight (kg) |
61.0 ± 11.0 |
64.0 ± 14.0 |
0.012 |
| BMI (kg/m2) |
23.3 ± 3.9 |
24.6 ± 4.8 |
0.001 |
Questionnaires (scores) Nutrition MEDAS Physical activity |
0.5 ± 3.1 5.0 ± 1.8 -1.9 ± 1.0 |
0.1 ± 3.1 4.7 ± 1.7 -1.8 ± 0.9 |
0.095 0.166 0.784 |
| Pregnancy and delivery features |
| SBP (mmHg) (8-12GW) |
108 ± 10 |
110 ± 11 |
0.021 |
| DBP (mmHg) (8-12GW) |
67 ± 9 |
68 ± 9 |
0.396 |
| FSG (mg/dL) (8-12GW) |
80.3 ± 6.0 |
82.8 ± 5.6 |
<0.001 |
| HbA1c (%)(8-12GW) |
5.1 ± 0.2 |
5.3 ± 0.4 |
0.045 |
| HOMA-IR (8-12GW) |
1.1 ± 1.3 |
1.4 ± 1.5 |
0.007 |
| Triglycerides (mg/dL) (8-12GW) |
80 ± 37 |
104 ± 73 |
<0.001 |
| GDM (24-28w) |
245 (19.0) |
44 (40.0) |
<0.001 |
| Body weight gain (24w) |
7.2 ± 4.2 |
6.7 ± 3.7 |
0.343 |
| Body weight gain (38w) |
11.8 ± 6.4 |
11.3 ± 5.4 |
0.407 |
| Insulin treatment |
55 (4.3) |
15 (13.6) |
0.204 |
| High BP or preeclampsia |
43 (3.3) |
10 (9.1) |
0.036 |
| Prematurity (< 37w) |
79 (6.1) |
11 (10.0) |
0.088 |
| Cesarean section |
267 (20.7) |
29 (26.4) |
0.567 |
| LGA (> 90 percentile) |
43 (3.3) |
7 (6.4) |
0.091 |
| SGA (< 10 percentile) |
67 (5.2) |
13 (11.8) |
0.007 |
| 3 months postpartum |
| Body weight (kg) |
66.3 ± 11.6 |
69.7 ± 12.8 |
0.015 |
| BMI (kg/m2) |
25.1 ± 4.3 |
26.6 ± 4.8 |
0.005 |
| Weight change (3-m - pregestational) |
4.7 ± 5.5 |
6.0 ± 7.1 |
0.052 |
| Waist circumference (cm) |
85.4 ± 9.5 |
90.0 ± 9.9 |
<0.001 |
| SBP (mmHg) |
111 ± 12 |
113 ± 11 |
0.142 |
| DBP (mmHg) |
71 ± 9 |
72 ± 9 |
0.583 |
| FSG (mg/dL) |
83.6 ± 7.0 |
94.9 ± 12.1 |
<0.001 |
| HbA1c (%) |
5.2 ± 0.3 |
5.6 ± 0.3 |
<0.001 |
| HOMA-IR |
1.8 ± 2.4 |
3.4 ±4.9 |
<0.001 |
| Triglycerides (mg/dL) |
80 ± 43 |
95 ± 65 |
0.006 |
| HDL-cholesterol (mg/dL) |
64 ± 17 |
60 ± 13 |
0.027 |
Questionnaires (scores) Nutrition MEDAS Physical activity |
3.9 ± 3.5 6.2 ± 1.9 -1.6 ± 0.9 |
3.5 ± 3.5 5.9 ± 1.8 -1.7 ± 0.8 |
0.071 0.377 0.618 |
| Sport activity (min/d) |
16 ± 90 |
3 ± 16 |
0.065 |
Table 3.
Glycemic status change at 3 years (3-y) postdelivery according to metabolic characteristics at 3 months (3-m) postdelivery.
Table 3.
Glycemic status change at 3 years (3-y) postdelivery according to metabolic characteristics at 3 months (3-m) postdelivery.
| |
3-m AGR (110) |
3-m NGR (n=1290) |
| |
3-y NGR Reversion (n=83) |
3-y AGR Persistence (n=27) |
P
|
3-y AGR Progression (n=110) |
3-y NGR Persistence (n=1180) |
P
|
| Age (years) |
32.7 ± 4.6 |
34.9 ± 4.5 |
0.031 |
34.8 ± 4.5 |
32.9 ± 4.9 |
0.001 |
| GDM (24-28 GW) |
30 (36.1) |
14 (51.2) |
0.001 |
50 (45.5) |
195 (16.5) |
0.001 |
| 3-m body weight (kg) |
69.5 ± 11.8 |
69.8 ± 12.3 |
0.008 |
69.0 ± 11.8 |
66.0 ± 11.5 |
0.031 |
3-m BMI (kg/m2) < 25 25- 29.9 ≥ 30 |
26.2 ± 4.6 57 (68.7) 16 (19.3) 10 (12.0) |
27.6 ± 5.1 15 (55.6) 6 (22.2) 6 (22.2) |
0.014
0.138 |
26.3 ± 4.9 69 (62.7) 25 (22.7) 16 (14.5) |
25.0 ± 4.2 859 (72.8) 232 (19.7) 89 (7.5) |
0.014
0.034 |
| Pre-gestational obesity |
11 (13.3) |
3 (11.1) |
0.907 |
13 (11.8) |
63 (5.3) |
0.005 |
| 3-y weight (kg) |
64.0 ± 13.4 |
67.6 ± 10.8 |
0.023 |
67.3 ± 11.1 |
63.0 ± 10.8 |
0.023 |
Body weight change 3-m minus pregestational 3-y minus 3-m 3-y minus pregestational |
4.2 ± 6.5 -4.1 ± 3.9 0.8 ± 0.5 |
6.6 ± 7.1 -2.1 ± 5.1 0.9 ± 0.6 |
0.056 0.026 0.917 |
6.6 ± 6.9 -0.7 ± 5.0 4.8 ± 5.6 |
4.7 ± 5.5 -2.0 ± 5.6 1.2 ± 2.5 |
0.011 0.014 0.033 |
| 3-m waist (cm) |
88.9 ± 8.9 |
90.3 ± 10.2 |
0.036 |
87.6 ± 8.9 |
85.2 ± 9.6 |
0.036 |
| 3-m SBP (mmHg) |
110 ± 10 |
113 ± 12 |
0.071 |
113 ± 14 |
110 ± 12 |
0.071 |
| 3-m DBP (mmHg) |
68 ± 6 |
73 ± 9 |
0.175 |
73 ± 12 |
71 ± 9 |
0.175 |
| 3-m FSG (mg/dL) |
92 ± 11 |
96 ± 12 |
0.021 |
86 ± 7 |
83 ± 7 |
0.001 |
| 3-m HbA1c (%) |
5.6 ± 0.3 |
5.7 ± 0.3 |
0.042 |
5.3 ± 0.2 |
5.2 ± 0.3 |
0.001 |
| 3-m HOMA-IR |
2.6 ± 2.2 |
3.5 ± 5.5 |
0.907 |
1.8 ± 1.2 |
1.7 ± 2.4 |
0.907 |
| 3-m HDL-c (mg/dL) |
62 ± 13 |
52 ± 12 |
0.016 |
62 ± 19 |
64 ± 16 |
0.627 |
| 3-m Triglycerides (mg/dL) |
90 ± 51 |
109 ± 94 |
0.399 |
82 ± 34 |
80 ± 43 |
0.006 |
3-m Questionnaires (scores) Nutrition MEDAS Physical activity |
3.7 ± 3.6 6.1 ± 1.8 -1.6 ± 0.9 |
2.9 ± 3.3 5.6 ± 1.6 -1.8 ± 0.6 |
0.429 0.366 0.499 |
4.0 ± 3.5 6.0 ± 2.1 -1.5 ± 0.9 |
4.1 ± 3.5 6.2 ± 1.8 -1.6 ± 0.9 |
0.282 0.377 0.339 |
| 3-m sport activity (min/d) |
32 ± 18 |
0 ± 6 |
0.415 |
14 ± 69 |
34 ± 96 |
0.065 |
Table 4.
Associations between unmodifiable and modifiable risk factors and glycemic status at follow-up.
Table 4.
Associations between unmodifiable and modifiable risk factors and glycemic status at follow-up.
| |
NORMAL GLUCOSE REGULATION (NGR) |
ABNORMAL GLUCOSE REGULATION (AGR) |
| |
Persistence (n=1180) |
Reversion (n=83) |
Progression (n=110) |
Persistence (n=27) |
| |
n (%) |
OR (95% CI) |
n (%) |
OR (95% CI) |
n (%) |
OR (95% CI) |
n (%) |
OR (95% CI) |
| GDM (24-28w) |
195 (78.9) |
0.22(0.15-0.33) |
30 (68.2) |
0.51 (0.21-1,23) |
50 (20.4) |
1.60 (1.33-1.92) |
14 (31.2) |
1.34 (0.88-2.05) |
| Unmodifiable risk factors |
| Family history MetS |
225 (19.1) |
0.64 (0.43-0.96) |
21 (25.3) |
0.87 (0.70-1.08) |
32 (29.1) |
1.63 (1.04-2.54) |
4 (14.8) |
0.51 (0.16-1.66) |
| Parity |
634 (53.7) |
0.79 (0.55-1.14) |
49 (59.0) |
0.50 (0.22-1.14) |
67 (60.9) |
1.29 (0.87-1.93) |
21 (77.8) |
2.49 (0.89-6.65) |
| Age ≥ 35 years |
577 (48.9) |
0.63 (0.44-0.92) |
41 (49.4) |
1.06 (0.86-1.32) |
66 (60.0) |
1.64 (1.10-2.46) |
15 (55.6) |
1.28 (0.54-3.06) |
| Unfavorable group>2 |
435 (36.9) |
0.56 (0.39-0.80) |
34 (41.0) |
0.80 (0.42-1.55) |
59 (53.6) |
1.90 (1.28-2.83) |
13 (48.1) |
1.34 (0.56-3.20) |
| Modifiable risk factors |
| Preg-BMI ≥ 25kg/m2
|
307 (26.0) |
0.59 (0.41-0.85) |
27 (32.5) |
0.45 (0.22-0.92) |
43 (39.1) |
1.80 (1.19-2.71) |
14 (51.9) |
2.85 (1.12-7.25) |
| Del-BMI ≥ 25kg/m2
|
321 (27.2) |
0.69 (0.48-1.01) |
26 (31.1) |
0.66 (0.35-1.26) |
41 (37.3) |
1.50 (1.00-2.27) |
12 (44.4) |
1.75 (0.72-4.27) |
| Weight change > 0kg |
833 (70.6) |
0.53 (0.29-0.94) |
51 (61.4) |
0.43 (0.20-0.93) |
93 (84.5) |
2.22 (1.10-4.48) |
7 (25.9) |
3.64 (0.93-14.39) |
| WC ≥ 89.5cm |
205 (17.4) |
0.54 (0.36-0.79) |
24 (28.9) |
0.76 (0.39-1.48) |
32 (29.1) |
2.02 (1.29-3.12) |
10 (37.0) |
1.45 (0.58-3.61) |
| Hypertension |
55 (4.7) |
0.61 (0.35-1.08) |
3 (3.6) |
0.84 (0.65-1.08) |
12 (10.9) |
1.94 (1.04-4.04) |
6 (22.2) |
2.31 (0.35-15.14) |
| Dyslipidemia |
164 (13.9) |
0.98 (0.94-1.02) |
13 (15.7) |
0.64 (0.31-1.29) |
12 (10.9) |
1.28 (0.72-2.29) |
7 (25.9) |
1.89 (0.66-5.36) |
| Alcohol consumption |
69 (5.8) |
0.99 (0.92-1.05) |
2 (2.4) |
0.47 (0.17-1.33) |
7 (6.4) |
0.25 (0.53-2.98) |
2 (7.4) |
3.24 (0.43-24.20) |
| Smoking |
7 (0.6) |
na |
0 |
na |
0 |
na |
0 |
na |
| Nutrition score < 4 |
636 (53.9) |
0.68 (0.45-1.04) |
32 (38.6) |
0.79 (0.33-1.85) |
71 (64.5) |
1.42 (0.97-2.07) |
12 (44.4) |
1.38 (0.45-4.22) |
| MEDAS score < 6 |
683 (57.9) |
0.99 (0.95-1.02) |
52 (62.7) |
0.87 (0.36-2.11) |
68 (61.8) |
1.19 (0.79-1.66) |
16 (59.3) |
1.11 (0.57-2.16) |
| Physical Activity < 0 |
906 (76.8) |
0.66 (0.32-1.37) |
77 (92.8) |
0.57 (0.09-3.58) |
99 (90.0) |
1.45 (0.76-2.76) |
26 (96.3) |
2.03 (0.23-17.62) |
| Sport Activity < 15min |
1026 (86.9) |
0.93 (0.84-1.03) |
81 (97.6) |
na |
100 (90.9) |
1.83 (1.00-3.35) |
27 (100) |
1.33 (1.19-1.49) |
| Unfavorable group >5 |
387 (32.8) |
0.74 (0.51-0.99) |
33 (39.8) |
0.49 (0.25-0.97) |
46 (41.8) |
1.40 (1.00-2.09) |
17 (63.0) |
2.57 (1.05-6.31) |
|
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