Reducing weight and BMI following gestational diabetes: a systematic review and meta-analysis of digital and telemedicine interventions

Implementing telemedicine for the care of women with gestational diabetes mellitus in a rural hospital: an observational retrospective study

INTRODUCTION

Gestational diabetes mellitus (GDM) can adversely impact pregnancy outcomes. LGA is a common complication of GDM. Telemedicine is increasingly used for the follow-up of chronic diseases. The objective of this study was to evaluate if implementing a telemedicine solution for GDM could decrease the frequency of large for gestational age (LGA) newborns in a rural hospital.

METHODS

This retrospective interrupted-time-series study was conducted in a rural French hospital. An LGA newborn was defined as a newborn with weight ≥ 90th percentile. The intervention period was defined as starting 45 days after the initial introduction of the telemedicine solution. The two timeframes were: 1 January 2015 to 28 April 2017 (baseline period) and 12 June 2017 to 31 December 2021 (intervention period).

RESULTS

Between 2015 and 2021, 14,382 single births were registered in the hospital and 1,981 births from women with GDM were included. The mean age of mothers was 31.71 ± 5.54 and 32.30 ± 5.14 in women with newborns with birthweights lower and higher than the 90th percentile respectively (p=0.09). LGA births were reduced from 76/533 (14.3%) in the baseline period to 170/1,448 (11.7%) in the intervention period. This reduction became statistically significant in the multivariate analysis (protective OR: 0.541, 95%CI [0.311 to 0.930],p=0.13). Obesity was associated with LGA (OR: 1.877, 95%CI [1.394 to 2.558]).

CONCLUSIONS

The implementation of a telemedicine solution for GDM care in a rural general hospital was associated with a decrease in the adjusted odds of LGA births.

Gestational diabetes mellitus, body mass index, and cardiometabolic multimorbidity: a prospective cohort study

PURPOSE

Gestational diabetes mellitus (GDM) could increase the risks of type 2 diabetes mellitus (T2DM) and cardiovascular disease. However, evidence on its association with cardiometabolic multimorbidity (CMM) was limited. This study aimed to evaluate the association between GDM and the prevalence, incidence, patterns, and progression of CMM; and the role of body mass index (BMI) in such association.

METHODS

This study included 203,372 women who have given birth in UK Biobank. The diagnoses of GDM and cardiometabolic diseases (including stroke, coronary heart disease [CHD], and T2DM) were reported by participants or obtained through linkage to inpatient hospital data until 31st December 2020. BMI was assessed at the baseline assessment. CMM was defined as having two or more of included cardiometabolic diseases. Logistic regression models and Cox proportional hazard models were used to assess the association between GDM and CMM, and the modifications on both additive and multiplicative scales were assessed to evaluate the effect of BMI on such association.

RESULTS

A total of 1,217 women had a history of GDM, 2,351 participants had CMM at the end of follow-up and 1,601 was newly diagnosed during follow-up. GDM was associated with higher prevalence (odds ratio [OR]=4.64, 95% confidence interval [95% CI]=3.54-6.08) and incidence (hazard ratio [HR]=3.62, 95% CI=2.62-5.00) of CMM. In particular, GDM was associated with higher odds of T2DM, coexisting T2DM and vascular disease, and T2DM followed by vascular disease. Formal testing for effect modification suggested multiplicative modification by BMI for the association between GDM and incident CMM.

CONCLUSIONS

GDM was associated with CMM in women's late life, with multiplicative modification effects of BMI. Our results suggest that maternal and lifestyle interventions (e.g., weight management) are warranted for the primary and secondary prevention of CMM, particularly in women with a history of GDM.

Telemedicine for obesity management among United States adults: A systematic and meta-analysis of intervention studies

Obesity is projected to affect 86% of United States adults by 2030. Recent data show a surge to 41.9%, with the highest proportion in the 40-59 age group (44.3%). Obesity is linked to various health issues and preventable deaths. Telemedicine has emerged as a promising avenue for addressing obesity. This systematic review and meta-analysis examine the effectiveness of telemedicine interventions for managing obesity in US adults aged 40 and above. Through a thorough Preferred Reporting Items for Systematic Reviews and Meta-Analysis-guided search, 16 studies meeting inclusion criteria were identified. These studies employed diverse telemedicine technologies, including video-based and telephone sessions or a mixture of technologies. The analysis reveals a statistically significant mean difference of 0.93 in favor of telemedicine interventions for weight loss. Subgroup analysis suggests that intervention durations of 6-12 months and telephone-based sessions correlate with more substantial mean differences. This study provides valuable insights into the effectiveness of telemedicine in managing obesity, emphasizing the importance of intervention type and duration. Study limitations include variability and potential biases. Customized telemedicine strategies have the potential to combat the obesity epidemic among older adults in the United States, offering guidance to healthcare professionals aiming to reduce health risks and enhance overall well-being.

Effectiveness of a blended mobile-based lifestyle intervention in women with glucose intolerance after a recent history of gestational diabetes (MELINDA): a 1-year, prospective, multicentre, randomised controlled trial

Background

Women with glucose intolerance after gestational diabetes mellitus (GDM) are at high risk to develop type 2 diabetes. Traditional lifestyle interventions in early postpartum have limited impact. We investigated the efficacy of a blended mobile-based lifestyle intervention in women with glucose intolerance after a recent history of GDM.

Methods

Prospective, double-arm, non-masked, multicentre randomised controlled trial (RCT) in which women with glucose intolerance, diagnosed 6-16 weeks after a GDM-complicated pregnancy, were assigned 1:1 to a one-year blended-care, telephone- and mobile-based lifestyle program (intervention) or usual care (control). Primary endpoint was the proportion of women able to achieve their weight goal (≥5% weight loss if prepregnancy BMI ≥ 25 kg/m2 or return to prepregnancy weight if prepregnancy BMI < 25 kg/m2) in the intention-to-treat sample. Key secondary outcomes were frequency of glucose intolerance, diabetes and metabolic syndrome, and lifestyle-related outcomes assessed with self-administered questionnaires. The study was registered in ClinicalTrials.gov (NCT03559621).

Findings

Between April 10th 2019 and May 13th 2022, 240 participants were assigned to the intervention (n = 121) or control group (n = 119), of which 167 (n = 82 in intervention and n = 85 in control group) completed the study. Primary outcome was achieved by 46.3% (56) of intervention participants compared to 43.3% (52) in the control group [odds ratio (OR) 1.13, 95% confidence interval (CI) 0.63-2.03, p = 0.680; risk ratio 1.07, 95% CI (0.78-1.48)]. Women in the intervention group developed significantly less often metabolic syndrome compared to the control group [7.3% (6) vs. 16.5% (14), OR 0.40, CI (0.22-0.72), p = 0.002], reported less sedentary behaviour and higher motivation for continuing healthy behaviours. In the intervention group, 84.1% (69) attended at least eight telephone sessions and 70.7% (58) used the app at least once weekly.

Interpretation

A blended, mobile-based lifestyle intervention was not effective in achieving weight goals, but reduced the risk to develop metabolic syndrome.

Funding

Research fund of University Hospitals Leuven, Novo Nordisk, Sanofi, AstraZeneca, Boehringer-Ingelheim, Lilly.

Risk factors for postpartum urinary incontinence: The impact of early-onset and late-onset Gestational Diabetes Mellitus in a nested case-control study

BACKGROUND

Gestational Diabetes Mellitus (GDM) and many other clinical variables have been associated with postpartum urinary incontinence (UI). However, the data are still restricted, and no study explored early- or late-onset GDM as a risk factor for this condition. We aimed to identify independent risk factors for postpartum UI, focusing on GDM and its early or late onset.

METHODS

A nested case control derived from the Diamater cohort study included 517 pregnant women who submitted to a planned C-section and followed by 6-18 months after delivery according to the timing of GDM diagnosis: early-onset GDM (before 20 weeks) and late-onset GDM(24-28 weeks) and the occurrence of UI.

RESULTS

Univariate analysis showed that the risk for 6-18 months postpartum UI was 49% higher in non-Caucasian ethnicity (1.49,1.02-2.18), 3,3 times higher in previous bariatric surgery [3.37,1.36-8.21], 39% higher in GDM women (1.39,1.01-1.93), and 5% higher for each BMI score in prepregnancy (1.05, 1.03-1.08) and at the end of pregnancy (1.05,1.02-1.08). Multivariate logistic regression analysis indicates that prepregnancy BMI was the only independent factor associated with the 6-18 months postpartum UI (adj 1.05, 95 %CI 1.02-1.08, P <.001). After stratifying, a second univariate and multivariate analysis were done according to the prepregnancy BMI cutoff score of 25. Thus, a significant association between GDM and postpartum UI in prepregnancy overweight women (RR: 1.91; 95 %CI 1.25-2.90, P =.003) and no association between GDM and 6-18 months postpartum UI in normal prepregnancy BMI (RR: 0.78, 95 %CI 0.39-1.54, P =.482) were found. After multivariate regression, the early-onset-GDM remained the unique independent adjusted risk factor for 6-18 months postpartum UI analysis (adjRR 2.15, 95 %CI 1.33-3.46, P =.002).

CONCLUSION

After a planned C-section, we observed a 6-18 months postpartum UI higher occurrence after GDM, either in early-onset GDM or late-onset GDM. In addition, being overweight (BMI > 25) among women with early-onset GDM was associated with postpartum UI.

A holistic approach to preventing type 2 diabetes in Asian women with a history of gestational diabetes mellitus: a feasibility study and pilot randomized controlled trial

Background

Gestational Diabetes Mellitus (GDM) exposes women to future risk of Type 2 Diabetes. Previous studies focused on diet and physical activity, less emphasis was given to tackle intertwined risk factors such as sleep and stress. Knowledge remains scarce in multi-ethnic Asian communities. This study explored the: (1) feasibility of a holistic digital intervention on improving diet, physical activity (PA), sleep and stress of Asian women with a history of GDM, and (2) preliminary efficacy of the holistic intervention on women's physical and mental well-being via a pilot randomized controlled trial.

Methods

Female volunteers with a history of GDM but without pre-existing diabetes were recruited from multi-ethnic Singaporean community. Each eligible woman was given a self-monitoring opportunity using Oura Ring that provided daily feedback on step counts, PA, sleep and bedtime heart rate. Intervention group additionally received personalized recommendations aimed to reinforce healthy behaviors holistically (diet, PA, sleep and stress). Dietary intake was evaluated by a research dietitian, while step counts, PA, sleep and bedtime heart rate were evaluated by health coaches based on Oura Ring data. Perceived physical and mental health and well-being were self-reported. Clinical outcomes included glycemic status determined by HbA1c and OGTT tests, body mass index, blood pressures and lipid profile.

Results

Of 196 women from the community, 72 women completed diabetes screening, 61 women were eligible and 56 women completed the study. The 56 completers had mean age of 35.8 ± 3.7 years, predominantly Chinese, majority had their first GDM diagnosed at least 2 years ago and had two GDM-affected pregnancies. After intervention period, more women in the Intervention group achieved at least 8,000 steps/day and had at least 6 hours of sleep per night. Noticeable reduction of added sugar in their food and beverages were observed after the dietary intervention. Changes in body weight and mental well-being were observed but group differences were not statistically significant.

Conclusions

The holistic approach appeared feasible for personalizing lifestyle recommendations to promote physical and mental well-being among women with a history of GDM. Larger studies with sufficient assessment timepoints and follow-up duration are warranted to improve the evaluation of intervention effects on clinical outcomes.

Clinical trial registration number

https://clinicaltrials.gov/show/NCT05512871, NCT05512871.

Gestational diabetes mellitus, follow-up of future maternal risk of cardiovascular disease and the use of eHealth technologies-a scoping review

BACKGROUND

Globally, gestational diabetes mellitus complicates 1 in 6 pregnancies and increases future risk of type 2 diabetes and cardiovascular disease in the affected women. There is a lack of consensus on the optimal follow-up of these women. eHealth is emerging as a health care tool, but its practical utility and advantages over standard care in the follow-up after pregnancy complications remains to be determined. Our aim was to systematically review the existing literature on cardiovascular follow-up after gestational diabetes, the utility of eHealth technology for this purpose, and to identify research gaps.

METHODS

We performed a systematic scoping review following a published protocol and the Joanna Briggs methodology for studies up until May 2022. Four databases were searched: Ovid MEDLINE, Embase, Maternity and Infant Care, and Cochrane Database of Systematic Reviews. Primary research articles and systematic reviews were included in the final analyses. Two reviewers independently screened abstracts and performed full text assessment. Data was extracted using a data charting form. In all stages of the process, if consensus was not reached, a third reviewer was consulted. The findings from the data charting process provided the basis for summarizing the findings from the included studies.

RESULTS

The search of the databases generated 2772 hits. After removing duplicates and manually adding a total of 19 studies, reviews, and guidelines, a total of 2769 titles and abstracts were screened, and 97 papers underwent full-text review. In the final analyses, 15 articles and 12 systematic reviews were included, whereas guidelines are presented as supplementary material. No studies were identified that examined follow-up regarding long-term overall cardiovascular risk after gestational diabetes. Various lifestyle interventions were tested for individual cardiovascular risk factors, with diverging effects. eHealth technologies were found acceptable by participants but had no consistent, statistically significant effect on relevant health outcomes.

CONCLUSIONS

This scoping review of the existing literature revealed neither an established systematic cardiovascular follow-up strategy for women after gestational diabetes nor evidence that eHealth technologies are superior to conventional follow-up. Further research into the utility of eHealth in cardiovascular follow-up after complicated pregnancies should include longer-term follow-up and core cardiovascular outcomes.

SYSTEMATIC REVIEW REGISTRATION

The protocol for this scoping review was published at Open Science Framework (osf.io/p5hw6).

Effectiveness of Smartphone-Based Lifestyle Interventions on Women with Gestational Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Background

Gestational diabetes mellitus (GDM) is a condition that causes poor glucose tolerance during pregnancy and usually resolves after birth. Having GDM impacts the mother and baby. Smartphone-based lifestyle interventions may offer innovative solutions.

Aim

To examine the effects of smartphone-based lifestyle interventions on compliance, Hemoglobin A1c (HbA1c), maternal outcomes, infant outcomes, psychological status, satisfaction, and cost effectiveness among women with GDM.

Methods

Randomized controlled trials (RCTs) of smartphone-based lifestyle interventions for women with GDM aged over 18 years were included. A systematic search of PubMed, Embase, Web of Science, CINAHL, and Cochrane Library for articles published from January 2007 to March 2022 and updated on 12 October 2022. Data were extracted independently by two researchers, and the risk of bias in individual trials was rated using the Cochrane risk-of-bias tool (RoB 2). Meta-analysis was conducted by using RevMan 5.3.

Results

Ten studies were included involving 1626 participants. The mean ages of the women were 32.42 ±4.68 years. Eight out of 10 studies were conducted in developed countries. Meta-analysis found that smartphone-based lifestyle interventions statistically improved compliance [SMD = 7.36, 95% CI = (4.05 to 10.68), P < 0.0001] and decreased the incidences of neonatal intensive care unit (NICU) admission [RR = 0.64, 95% CI = (0.47,0.86), P = 0.003], compared with controls. However, intervention effects on HbA1c, maternal outcomes, neonatal hypoglycemia, and infant birth weight were non significant. Moreover, the satisfaction of intervention is high in this review. Contrastingly, no significant effects were observed for psychological status and cost-effectiveness.

Conclusion

Smartphone-based lifestyle interventions may improve patient compliance and reduce NICU admissions. These findings may aid in developing future intervention strategies, help elucidate future research directions, and guide clinical practice for women with GDM. Future high-quality RCTs must be further studied at larger scales to examine smartphone-based lifestyle interventions' long-term effects and cost-effectiveness.