Gestational diabetes mellitus (GDM) is a common, pregnancy-specific disorder diagnosed at 24–28 gestational weeks. The East Asian population has high GDM susceptibility, with an incidence rate of 11.7% (range: 4.5–25.1%) [
1]. The current diagnostic criteria for GDM are inconsistent worldwide. The international medical community, including that in China, adopts the results of the 75 g oral glucose tolerance test (OGTT) at 24–28 gestational weeks as diagnostic criteria as recommended by the IADPSG and the American Diabetes Association (ADA) (fasting venous glucose ≥5.1 mmol/L, 1-h value ≥10.0 mmol/L, 2-h value ≥8.5 mmol/L) [
2,
3]. GDM can exert several adverse effects in both mothers and children, including polyhydramnios, macrosomia and neonatal hypoglycaemia [
4,
5]. Moreover, reasonable evidence has indicated that exposure to an intrauterine hyperglycaemic environment leads to an increased risk of chronic health issues in filial generations, such as cardiovascular diseases, diabetes mellitus, and obesity [
6‐
8]. Despite the adverse effects of GDM, referral to professional nutritionists for individualised lifestyle modifications before the OGTT is infrequently implemented in current clinical practice in China.
Previous studies have indicated that lifestyle modification strategies addressing healthy eating and/or physical activity can effectively prevent type 2 diabetes mellitus in nonpregnant populations [
9]. Nutritional patterns in early pregnancy have been suggested to be associated with GDM development [
10]. Counselling and behavioural interventions have been reported to be effective in limiting excess gestational weight gain (GWG), which is associated with a decreased risk of GDM [
11‐
13]. As a first-line strategy for GDM management, nutritional interventions mainly involve a dietician’s personalised diet prescription in accordance with nutritional intake guidelines during pregnancy [
14]. A prospective study with a small sample size (
n = 50) suggested that GWG in obese women (body mass index (BMI) ≥ 30 kg/m
2) can be reduced through the implementation of 10-h dietary consultations (gain of 6.6 kg in the intervention group vs gain of 13.3 kg in the control group,
p = 0.002), thus reducing the incidence of GDM (0% in the intervention group vs 10% in the control group) [
15]. The conclusions of an RCT conducted in nine European countries with 150 participants with BMI ≥ 29 kg/m
2 support the application of early healthy eating interventions in obese pregnant women, as evidenced by lower GWG and lower fasting glucose in the intervention group [
16]. Another prospective randomised controlled trial with a larger sample size (
n = 269) conducted in Finland showed that obese pregnant women (BMI ≥ 30 kg/m
2) who received individualised counselling on physical activity, diet, and weight gain control from trained nurses and dieticians had a lower prevalence of GDM (13.9% in the intervention group vs 21.6% in the control group,
p = 0.044) [
17]. Nevertheless, the UPBEAT study from the UK indicated that behavioural intervention in obese pregnant women (BMI ≥ 30 kg/m
2) was not adequate to prevent GDM (25.0% in the intervention group vs 26.0% in the standard care group,
p = 0.68) [
18]. Currently, the level of evidence on whether nutritional intervention can prevent GDM is considered to be low to very low since it is challenging to implement these interventions and monitor measurement error and diet complexity under free-living circumstances [
19,
20]. On the other hand, previous studies mostly targeted obese pregnant women with singleton pregnancies or those with a previous history of GDM [
14,
15,
17]. As stated in a study conducted in America, nearly one-third of GDM patients (29.3%) were underweight or normal weight [
21]. Currently, it remains unproven whether nutritional intervention can prevent GDM in a more general population, such as normal-weight women, women with multiple pregnancies or women with fasting blood glucose equal to or higher than 5.1 mmol/L in the early conception period. Therefore, modifiable risk factors and pragmatic interventions need to be identified.
Given the promising potential to relieve the social and economic burden of GDM, comprehensive and high-quality clinical research with adequate power to identify evidence-based preventive strategies is urgently warranted. Therefore, we present a multicentre, open-label and parallel-group randomised study protocol to explore whether an individualised nutritional intervention can effectively reduce the prevalence of GDM in pregnant women who have been identified by a prediction model in the first trimester to be at high risk for the disease. Previous studies have built various risk evaluation models for GDM taking different clinical risk factors into consideration; however, these models lack external validation or applicability for clinical practice [
22‐
24]. Prior to the design of this study, we developed a novel logistic regression prediction model via advanced machine learning, the establishment details of which have been published previously [
25]. The model selected 7 out of 73 clinical indicators: age, blood triglyceride level, fasting blood glucose and HbA1c levels in early pregnancy, family history of diabetes in first-degree relatives, multiple pregnancy and previous history of GDM. These indicators were considered to be sensitive predictors of GDM as early as the initiation of pregnancy in previous studies [
22‐
24,
26‐
30]. With a solid theoretical foundation, this pragmatic trial will provide reliable clinical evidence of the efficacy of an individualised nutritional intervention to prevent GDM among high-risk populations.