Interpregnancy Weight Change and Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis

Impact of interpregnancy weight change on the risk of gestational diabetes mellitus during a second pregnancy in Chinese population: a retrospective cohort study

OBJECTIVES

This study aimed to investigate the impact of interpregnancy weight changes (IPWC) on the gestational diabetes mellitus (GDM) in the second pregnancy.

DESIGN

A single-centre retrospective cohort study was conducted in China.

SETTING

Data were collected in Peking University Shenzhen Hospital from 2013 January to 2021 February.

PARTICIPANTS

Participants include women who had two consecutive singleton deliveries after 28 gestational weeks (n=2372).

OUTCOMES

The GDM in the second pregnancy (s-GDM) was set as the outcome.

METHODS

IPWC was defined as the change in body mass index between the first trimester of the second pregnancy and that of the first pregnancy, categorised into four groups with -1 kg/m² to <1 kg/m² as the reference. Adjusted ORs (aORs) with 95% CIs attained from multivariable logistic regression were used to assess the association between IPWC and s-GDM, in both total subjects and stratified subgroups.

RESULTS

In the overall analysis, s-GDM was found to be significantly associated with IPWC value (aOR 1.111; 95% CI 1.038 to 1.190) and an IPWC category of ≥3 kg/m² (aOR 1.821; 95% CI 1.197 to 2.772). In the stratified analysis, the significant association between IPWC ≥3 kg/m² and s-GDM was evident only in the subgroups of an interpregnancy interval (IPI) of less than 36 months (aOR 2.210, 95% CI 1.251 to 3.904), under the age of 35 (aOR 1.854, 95% CI 1.204 to 2.857), non-diabetic status in the first pregnancy (f-ND) (aOR 1.872, 95% CI 1.143 to 3.065) and those with normal weight in the first pregnancy (aOR 1.936, 95% CI 1.174 to 3.193). The significant association between IPWC value and s-GDM was also shown only in these subgroups (p<0.05). In f-DN subgroup, even an IPWC category of 1 kg/m² to <3 kg/m² was significantly associated with s-GDM (aOR 1.486, 95% CI 1.044 to 2.117). IPWC < -1 kg/m² was not significantly associated with s-GDM either in the overall analysis or in the stratified analysis (p>0.05).

CONCLUSION

An IPWC of 3 kg/m² or higher may increase the risk of s-GDM, particularly among women with an IPI of less than 36 months, those under 35 years old, individuals without diabetes, or those with normal weight during their first pregnancy. The potential influence of prior GDM on the relationship between IPWC and s-GDM warrants further investigation.

15. Management of Diabetes in Pregnancy: Standards of Care in Diabetes-2025

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Longer Interpregnancy Interval Is Associated with Gestational Diabetes Mellitus Recurrence

OBJECTIVE

 This study aimed to evaluate the effect of interpregnancy interval (IPI) on the gestational diabetes mellitus (GDM) recurrence rate in the subsequent pregnancies following an initial pregnancy complicated by GDM.

STUDY DESIGN

 A multicenter, retrospective cohort study was conducted. The study included women diagnosed with GDM during their index pregnancy who subsequently delivered between 26 and 42 weeks of gestation from 2005 to 2021. The study population was categorized into eight groups according to their IPIs: up to 3, 3-5, 6-11, 12-17, 18-23, 24-35, 36-47, and over 48 months. We examined the recurrence rate of GDM in the different groups while comparing it to the 18-23-month group that was defined as the reference group. Statistical analyses included univariate analyses and multiple logistic regression.

RESULTS

 Out of 3,532 women who were included in the study, 1,776 (50.3%) experienced GDM recurrence in subsequent pregnancy. The recurrence rate was 44.6% for women IPI <6 months, 42.6% for women IPI of 6-11 months, 48.0% for women IPI of 12-17 months, 49.7% for women IPI of 18-23 months, 58.0% for women IPI of 24-47 months, and 62.6% for women IPI above 48 months. Multivariable logistic regression revealed that IPIs of 24-47 months and over 48 months were significantly associated with higher recurrence rates as compared with the 18-23-month reference group (adjusted odds ratio [aOR], 95% confidence interval [CI]: 1.66 [1.04-2.64] and 3.15 [1.07-9.29], respectively). This analysis also revealed other independent risk factors for GDM recurrence, including medication-controlled GDM in the index pregnancy, obesity, maternal age, parity, and gravidity.

CONCLUSION

 Longer IPIs (over 24 months) are associated with an increased risk of GDM recurrence in subsequent pregnancies. These findings suggest that clinicians should consider IPI while managing postpartum care and planning future pregnancies for women with a history of GDM.

KEY POINTS

· Longer IPIs (over 24 months) are associated with an increased risk of GDM recurrence.. · Clinicians should consider IPI while managing postpartum care for women with a history of GDM.. · GDM A1, obesity, maternal age, parity, and gravidity were found as risk factors for GDM recurrence..

Prepregnancy weight loss and maternal metabolic and inflammatory biomarkers during pregnancy: An analysis of National Health and Nutrition Examination Survey

AIM

Women with overweight or obesity are recommended to lose weight before conception to optimize pregnancy outcomes. However, the obstetrical implications of prepregnancy weight loss have been minimally examined. The objective of this study was to investigate the association between prepregnancy weight loss and maternal metabolic and inflammatory profiles during a subsequent pregnancy.

METHODS

This study was a retrospective analysis of National Health and Nutrition Examination Survey data (2003-2018). Participants were women who were pregnant at the time of assessment. Prepregnancy weight loss was described as percent weight change based on self-reported baseline (1 year before pregnancy) and prepregnancy weight. Metabolic (e.g., blood pressure [BP]) and inflammatory biomarkers (i.e., high-sensitivity C-reactive protein [hs-CRP]) were determined by standard medical tests. Statistical analyses included linear regressions with appropriate imputation, weighting, and variance estimation techniques.

RESULTS

Participants (N = 236) reported a mean percent weight loss of 4.6% (standard error [SE] = 0.3%) during the year before pregnancy. Regression models showed that prepregnancy weight loss was inversely associated with levels of total cholesterol (β = -1.24, p = 0.01), low-density lipoprotein-cholesterol (β = -0.79, p < 0.01), and high-density lipoprotein-cholesterol (β = -0.18, p < 0.01). The effect of prepregnancy weight loss on BP, insulin sensitivity, and hs-CRP was not significant, although there was a trend toward higher levels of diastolic BP (β = 0.24, p = 0.07) and hs-CRP (β = 0.10, p = 0.08).

CONCLUSIONS

This study found favorable changes in lipid profiles following prepregnancy weight loss. Due to limitations such as a relatively small sample size, self-reported weight measures, and missing data on several outcome variables, future studies are needed to confirm study findings.

Effective interventions in preventing gestational diabetes mellitus: A systematic review and meta-analysis

BACKGROUND

Lifestyle choices, metformin, and dietary supplements may prevent GDM, but the effect of intervention characteristics has not been identified. This review evaluated intervention characteristics to inform the implementation of GDM prevention interventions.

METHODS

Ovid, MEDLINE/PubMed, and EMBASE databases were searched. The Template for Intervention Description and Replication (TIDieR) framework was used to examine intervention characteristics (who, what, when, where, and how). Subgroup analysis was performed by intervention characteristics.

RESULTS

116 studies involving 40,940 participants are included. Group-based physical activity interventions (RR 0.66; 95% CI 0.46, 0.95) reduce the incidence of GDM compared with individual or mixed (individual and group) delivery format (subgroup p-value = 0.04). Physical activity interventions delivered at healthcare facilities reduce the risk of GDM (RR 0.59; 95% CI 0.49, 0.72) compared with home-based interventions (subgroup p-value = 0.03). No other intervention characteristics impact the effectiveness of all other interventions.

CONCLUSIONS

Dietary, physical activity, diet plus physical activity, metformin, and myoinositol interventions reduce the incidence of GDM compared with control interventions. Group and healthcare facility-based physical activity interventions show better effectiveness in preventing GDM than individual and community-based interventions. Other intervention characteristics (e.g. utilization of e-health) don't impact the effectiveness of lifestyle interventions, and thus, interventions may require consideration of the local context.

15. Management of Diabetes in Pregnancy: Standards of Care in Diabetes-2024

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Association between prepregnancy weight change and risk of gestational diabetes mellitus in Chinese pregnant women

BACKGROUND

Evidence regarding prepregnancy weight change and gestational diabetes mellitus (GDM) is lacking among East Asian women.

OBJECTIVE

Our study aimed to investigate the association between weight change from age 18 years to pregnancy and GDM in Chinese pregnant women.

METHODS

Our analyses included 6972 pregnant women from the Tongji-Shuangliu Birth Cohort. Body weights were recalled for age 18 years and the time point immediately before pregnancy, while height was measured during early pregnancy. Prepregnancy weight change was calculated as the difference between weight immediately before pregnancy and weight at age 18 years. GDM outcomes were ascertained by 75-g oral glucose tolerance test. Multivariable logistic regression models were used to estimate the association between prepregnancy weight change and risk of GDM.

RESULTS

501 (7.2%) developed GDM in the cohort. After multivariable adjustments, prepregnancy weight change was linearly associated with a higher risk of incident GDM (P < 0.001). Compared with participants with stable weight (weight change within 5.0 kg) before pregnancy, multivariable-adjusted odds ratios and 95% confidence intervals were 1.55 (1.22, 1.98) and 2.24 (1.78, 2.83) for participants with moderate (weight gain of 5-9.9 kg) and high (weight gain ≥ 10 kg) weight gain, respectively. In addition, overweight/obesity immediately before pregnancy mediated 17.6% and 31.7% of the associations of moderate and high weight gain with GDM risk, while weekly weight gain during pregnancy mediated 21.1% and 22.7% of the associations.

CONCLUSIONS

Weight gain from age 18 years to pregnancy was significantly associated with a higher risk of GDM. Maintaining weight stability, especially prevention of excessive weight gain from early adulthood to pregnancy could be a potential strategy to reduce GDM risk.

Distribution and association of interpregnancy weight change with subsequent pregnancy outcomes in Asian women

The extent of interpregnancy weight change and its association with subsequent pregnancy outcomes among Asians remain unclear. We examined changes in maternal body mass index (BMI) between the first two deliveries and outcomes in the second delivery. Medical records of women with their first two consecutive deliveries between 2015 and 2020 at KK Women's and Children's Hospital, Singapore were retrieved. Gestational-age-adjusted BMI was determined by standardising to 12 weeks gestation and interpregnancy BMI change was calculated as the difference between both pregnancies. Pregnancy outcomes were analysed using modified Poisson regression models. Of 6264 included women with a median interpregnancy interval of 1.44 years, 40.7% had a stable BMI change within ± 1 kg/m², 10.3% lost > 1 kg/m², 34.3% gained 1-3 kg/m² and 14.8% gained ≥ 3 kg/m². Compared to women with stable BMI change, those with > 1 kg/m² loss had higher risk of low birthweight (adjusted risk ratio [RR] 1.36; 95% confidence interval 1.02-1.80), while those with 1-3 kg/m² gain had higher risks of large-for-gestational-age birth (1.16; 1.03-1.31), gestational diabetes (1.25; 1.06-1.49) and emergency Caesarean delivery (1.16; 1.03-1.31); these risks were higher in those with ≥ 3 kg/m² gain. Our study strengthens the case for interpregnancy weight management to improve subsequent pregnancy outcomes.

15. Management of Diabetes in Pregnancy: Standards of Care in Diabetes-2023

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Translation and psychometric validation of the Arabic version of Summary of the Diabetes Self-Care Activities (SDSCA) among pregnant women with gestational diabetes

Background and purpose

There is a lack of validated tools to assess adherence to gestational diabetes (GDM) management plan among women with GDM. This study aimed to translate the Summary of Diabetes Self-Care Activity (SDSCA) into Arabic, culturally adapt it, and test its psychometric properties among women with GDM.

Methods

A multiphase study was used to translate and evaluate the psychometric properties of the Arabic version of SDSCA using the following steps: (1) cultural and linguistic validation; (2) content and face validity testing; (3) construct validity testing; and (4) internal validity testing. Nineghty pregnant women with GDM were recruited to meet the purpose of this study.

Results

The Arabic version of the adapted SDSCA tool revealed adequate content validity, satisfactory internal consistency (Cronbach’s alpha = 0.74), and test-retest reliability (Pearson correlation coefficient = .67). Exploratory factor analysis revealed three factors that fit data satisfactory: diet, exercise, and blood glucose monitoring.

Conclusions

This study showed that the adapted Arabic SDSCA tool is an easy, valid, and reliable tool to assess pregnant women’s adherence to GDM management plan.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-022-04897-4.

Recurrence of Gestational Diabetes Mellitus: To Assess Glucose Metabolism and Clinical Risk Factors at the Beginning of a Subsequent Pregnancy

Women with a history of gestational diabetes mellitus (GDM) are at high risk of developing hyperglycemia in a subsequent pregnancy. This study aimed to assess parameters of glucose metabolism at the beginning of a subsequent pregnancy in women with a history of GDM. This prospective cohort study included 706 women who had at least one previous pregnancy (120 with prior GDM and 586 without GDM history). All study participants received a broad risk evaluation and laboratory testing at the beginning of a subsequent pregnancy and were followed up until delivery to assess GDM status, risk factors for GDM recurrence, and pregnancy outcomes. Women with a history of GDM exhibited lower insulin sensitivity and subtle impairments in β-cell function associated with subclinical hyperglycemia already at the beginning of a subsequent pregnancy compared to women without GDM history. This was associated with a markedly increased risk for the later development of GDM (OR: 6.59, 95% CI 4.34 to 10.09, p < 0.001). Early gestational fasting glucose and HbA1c were identified as the most important predictors. Mothers with a history of GDM showed marked alterations in glucose metabolism at the beginning of a subsequent pregnancy, which explains the high prevalence of GDM recurrence in these women.