Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Jun 25, 2025
Date Accepted: Jan 13, 2026

The final, peer-reviewed published version of this preprint can be found here:

Gestational Diabetes Mellitus and Associated Factors in Rural Areas of Northern Vietnam: Cross-Sectional Survey

Le DC, Nguyen TH, Nguyen TL, Tran TN, Luong XH, Do TTH, Tran XT, Ngo VM, Bui THD, Nguyen TV, Hoang VT, Vu TB

Gestational Diabetes Mellitus and Associated Factors in Rural Areas of Northern Vietnam: Cross-Sectional Survey

JMIR Public Health Surveill 2026;12:e79688

DOI: 10.2196/79688

PMID: 41915666

Gestational diabetes mellitus and associated factors in rural areas of Northern Vietnam: A cross-sectional survey

  • Duc Cuong Le; 
  • Thi Hien Nguyen; 
  • Thi Ly Nguyen; 
  • Thi Nuong Tran; 
  • Xuan Hien Luong; 
  • Thi Thu Huong Do; 
  • Xuan Thuy Tran; 
  • Van Manh Ngo; 
  • Thi Huyen Dieu Bui; 
  • Tien Van Nguyen; 
  • Van Thuan Hoang; 
  • Thanh Binh Vu

ABSTRACT

Background:

The prevalence of GDM and its associated factors have not been investigated in Vietnam, especially in the rural Vietnam.

Objective:

To determine the prevalence and associated factors for gestational diabetes mellitus (GDM) in rural areas of Vietnam.

Methods:

This cross-sectional study was conducted among 1003 pregnant women, aged ≥18 years in rural areas of Northern Vietnam. GDM was identified as an impaired oral glucose tolerance test based on the guidelines of the International Association of the Diabetes and Pregnancy Study Groups. Associated factors for GDM were analyzed using modified Poisson regression with robust (sandwich) SE analysis with maternal age, pre-pregnancy body mass index (BMI) and family history of diabetes as explanatory factors, adjusted for parity, method of conception, hormonal therapy for pregnancy maintenance, physical inactivity, and history of chronic medical conditions.

Results:

The prevalence of GDM was 26.2%. Patients with GDM were more likely to be older than control group with OR = 3.33, 95%CI = [2.31 – 4.78]. In the multivariable analysis, maternal age was strongly associated with gestational diabetes mellitus (GDM). Compared with women aged <25 years, those aged 25–34 years had a significantly higher prevalence of GDM (adjusted PR = 1.50; 95%CI: 1.12–1.99; p = 0.006). The rate was even higher among women aged ≥35 years (adjusted PR = 2.40; 95%CI: 1.74–3.31; p<0.0001). These associations remained consistent after further adjustment for confounders (25–34 years: adjusted PR = 1.44; 95%CI: 1.07–1.95; p = 0.02; ≥35 years: adjusted PR = 2.15; 95%CI: 1.49–3.11; p<0.0001). Overweight women (BMI 23–<25 kg/m²) showed a borderline association with GDM (adjusted PR = 1.39; 95%CI: 0.98–1.98; p = 0.06), while women with BMI ≥25 kg/m² had a significantly higher prevalence (adjusted PR = 1.58; 95%CI: 1.10–2.26; p = 0.01). These findings persisted adjusted model, with BMI ≥25 kg/m² remaining significantly associated with GDM (adjusted PR = 1.54; 95%CI: 1.10–2.17; p = 0.01). Women with a family history of diabetes had increased prevalence of GDM in both models, though the association reached marginal significance (adjusted PR = 1.51; 95%CI: 0.85–2.68; p = 0.16). Most additional covariates included in multivariable analysis were not significant. However, women who conceived via in vitro fertilization had significantly higher prevalence of GDM compared with natural conception (adjusted PR = 1.38; 95%CI: 1.04–1.85; p = 0.03). Use of hormonal therapy to maintain pregnancy was also associated with increased risk (adjusted PR = 1.32; 95%CI: 1.04–1.68; p = 0.02).

Conclusions:

The findings highlight the need for early screening and counseling before pregnancy. Lifestyle programs should focus on weight control and healthy habits. Future research should test whether these programs can reduce the rate of gestational diabetes in rural communities.


 Citation

Please cite as:

Le DC, Nguyen TH, Nguyen TL, Tran TN, Luong XH, Do TTH, Tran XT, Ngo VM, Bui THD, Nguyen TV, Hoang VT, Vu TB

Gestational Diabetes Mellitus and Associated Factors in Rural Areas of Northern Vietnam: Cross-Sectional Survey

JMIR Public Health Surveill 2026;12:e79688

DOI: 10.2196/79688

PMID: 41915666

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.