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Review Article
ARTICLE IN PRESS
doi:
10.25259/GJHSR_56_2025

Nutritional influences on gestational diabetes: A review on macronutrient and micronutrient impacts

Department of Biochemistry, Pondicherry Institute of Medical Science, Puducherry, India.
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*Corresponding author: Sujatha Mahadevarao Premnath, Department of Biochemistry, Pondicherry Institute of Medical Science, Puducherry, India. drsuj85@gmail.com

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This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Premnath SM, Moneesh S. Nutritional influences on gestational diabetes: A review on macronutrient and micronutrient impacts. Glob J Health Sci Res. doi: 10.25259/GJHSR_56_2025

Abstract

Gestational diabetes mellitus (GDM) is a condition characterized by glucose intolerance leading to hyperglycemia, which is first recognized during mid-pregnancy. It poses a significant risk to both the mother and fetus. There is an increase in the global prevalence of GDM, which stands at 14.7% and in Asia, it is about 11.5%. In countries like India, where there is a high rate of lifestyle disorders such as obesity, metabolic syndrome, and cardiovascular diseases, the prevalence is about 13%. The pathophysiology of GDM is due to the physiological insulin resistance exacerbated by placental hormones, which is compounded by risk factors such as obesity, high maternal age, low physical activity, family history, and nutrition. Maternal nutrition also plays an important role in the pathogenesis of GDM. This review examines how the quality and quantity of macro and micronutrient intake influence the progression and development of GDM. High intake of refined carbohydrates, processed foods, saturated fatty acids, and inadequate proteins and fiber, coupled with micronutrient deficiency, is linked to GDM risk. Conversely, a diet rich in complex carbohydrates, plant-based proteins and minerals, and unsaturated fats has a protective role. Since nutritional therapy is the first line of management in GDM, the nutritional condition of the mother will have a hand in the disease process. Research gaps include the need for longitudinal studies to find the impact of dietary patterns, quality, quantity, and frequency of micro and macronutrients on GDM in the preconception and conceptional stages. Addressing these gaps will enhance our understanding of the relationship between maternal nutrition and GDM, informing more effective preventive and management strategies for this growing health concern.

Keywords

Gestational diabetes
Macronutrients
Micronutrients
Nutrition

INTRODUCTION

Gestational diabetes mellitus (GDM) is one of the significant health concerns during pregnancy that poses a risk for both the mother and the child.[1] GDM affects about 14.7% of pregnancies globally.[2] In Asia, the prevalence is 11.5%, while in India, it is slightly higher at approximately 13%. In India, the prevalence varies from 4.6 to 14% in urban areas and 1.7–13.2% in rural areas.[3] GDM is a type of glucose intolerance that typically starts during the second trimester due to insulin resistance created by placental hormones, which are not adequately compensated by the pancreatic β-cells. Some of the obstetrical complications, such as pre-eclampsia, difficult delivery, and cesarean section, and fetal complications such as macrosomia, respiratory distress, neonatal hypoglycemia, and hyperbilirubinemia, are linked to GDM.[1] Moreover, women diagnosed with GDM have a future risk of the same in subsequent pregnancy, type 2 diabetes, and cardiovascular diseases.[2] There is a steady rise in the prevalence of GDM worldwide and in India.[3] Convergence of risk factors such as obesity, lifestyle modifications, and rising rates of diabetes, family history has contributed to the increased occurrence of GDM.[2] During this period, the most significant contributor to GDM is the surge in insulin resistance due to physical inactivity and unhealthy dietary habits. Understanding the multifaceted etiology of GDM is very important for implementing effective preventive and management strategies.

Pregnancy is a unique physiological state that demands adequate nutrients for optimal maternal health and fetal development. Both over- and undernutrition have a substantial impact on pregnancy and its metabolism.[4] Nutrition is a modifiable risk factor for GDM. Dietary correction is the first line of management in GDM.[5] At the same time, numerous studies have investigated nutrient intake and adequacy in normal pregnancy, the role of individual nutrients in the pathogenesis of GDM has not been elucidated fully, and there remains a notable gap, particularly regarding the role of nutrients and quality of the diet in the pathogenesis of GDM.

This narrative review aims to address the gap by synthesizing the current evidence on the role of nutrition in the pathogenesis of GDM, highlighting the critical dietary components and patterns that may contribute to the risk of GDM. In the subsequent sections, we will explore various nutritional aspects, their adequacy, dietary patterns, and the influence of specific groups, along with their mechanisms in contributing to the pathogenesis of GDM. By providing a comprehensive overview of the current knowledge, this article seeks to inform clinical practice and public health interventions to optimize maternal nutrition to effectively manage GDM.

OVERVIEW OF GDM

GDM is a commonly encountered medical condition characterized by glucose intolerance, which is first recognized during pregnancy.[6] The onset is during the second and third trimesters of pregnancy, and the blood glucose falls back to normal after the pregnancy. It is caused by the uncompensated insulin resistance created due to placental hormones.[6]

Epidemiological insights

As per the 2021 data, the global prevalence is 14.7%.[7] The International Diabetes Federation declared that 1 in 6 pregnant women is affected by GDM.[8] The prevalence has doubled in the past decade due to the increase in other metabolic disorders and high rates among certain ethnic groups, such as African, Hispanic, Indian, and Asian mothers, when compared to Caucasian women.[9] In high-risk populations, the recurrence risk in future pregnancies is about 68% and nearly one-third of mothers develop overt diabetes within 5 years of delivery.[2]

In India, according to the National Health Family Survey-5 (2019–2021), the prevalence was 0.8% with a high preponderance in elderly pregnant women compared to the younger age group.[10] GDM prevalence rose from 0.48% in 15–19 years to 3.91% in 40–44 years. States such as Uttar Pradesh, Meghalaya, and Karnataka together accounted for nearly 30% of reported cases. GDM prevalence was notably higher in South India than in North India. The NHFS relies on self-reported data, so the chances of underestimation are high. According to a systematic review done in 2024 by Mantri et al., the pooled prevalence of GDM in India is 13% with the rural population showing 10% and the urban population showing 12%.[11] Prevalence varied markedly across states, from 0% in Manipur to as high as 42% in urban Tamil Nadu, highlighting stark regional disparities in screening, diagnosis, and healthcare access. Southern states consistently reported higher prevalence compared to other regions. One of the important findings was that GDM rates increased progressively with maternal age and socioeconomic status.

Risk factors and their multifaceted complications

The main risk factors for GDM are obesity, sedentary lifestyle, family history of type 2 diabetes mellitus, previous history of macrosomic child or GDM, and polycystic ovarian syndrome (PCOS). Ethical groups such as Asia Pacific and South Asia are more susceptible because high abdominal obesity, low muscle mass, and high insulin resistance are prevalent in these regions compared to other parts of the world.[9] Among the risk factors, obesity is one of the most common risks associated with nearly 31% of GDM mothers.[2]

GDM causes both short-term and long-term risks to both the mother and fetus. Maternal complications include abortion, pre-eclampsia, difficult delivery, or cesarean section, and fetal complications such as macrosomia, hypoglycemia, hyperbilirubinemia, respiratory distress syndrome, fetal anomalies, and fetal demise are linked to GDM. Babies born to mothers with GDM are at high risk for cardiovascular disease and metabolic disorders early in life compared to others.[1,2]

Pathophysiology

Normal pregnancy is a condition of physiological insulin resistance that develops during mid-pregnancy and persists till the end. Human placental lactogen, human placental growth factors, estrogen, progesterone, tumor necrosis factors, and adipokines secretion peak during the second trimester. These hormones act on the main Insulin signaling pathway, namely, the Insulin Receptor Substrate- Phosphoinositide-3-kinase/Akt (IRS–PI3K–Akt) pathway. The hormones structurally alter peripheral insulin receptors’ beta-subunit, diminish phosphorylation of tyrosine kinase, and remodel insulin receptor substrate-1 (IRS-1) and phosphatidylinositol 3-kinase, disrupting the insulin action and creating an insulin-resistant environment.[12] These changes take place to spare the uninterrupted glucose supply to the growing fetus. The mother’s pancreas tries to compensate with hyperplasia and high insulin secretion initially, but with the increasing insulin resistance at the cellular level and the risk factors contributing to this, there is a steady increase in serum glucose levels.

In GDM, insulin resistance impairs insulin signaling, reduces tyrosine kinase phosphorylation, and decreases Glucose Transporter type 4 (GLUT4) activation, leading to elevated maternal glucose levels.[13] Hepatic gluconeogenesis increases, worsening hyperglycemia. Lipid metabolism is altered, with exaggerated hyperlipidemia, elevated free fatty acids, reduced lipoprotein lipase, and increased ketogenesis, contributing to fetal macrosomia and oxidative stress. Chronic low-grade inflammation in adipose tissue is driven by altered adipokines, including elevated leptin, resistin, and visfatin, and decreased adiponectin. Placental cytokines further amplify systemic inflammation. Inflammatory mediators such as intracellular adhesion molecule (ICAM), vascular cell adhesion molecule (VCAM), and monocyte chemoattractant protein (MCP) recruit immune cells, which release interleukin (IL)-6 and tumor necrosis factor-alpha (TNF-α), worsening insulin resistance.[14]

Diagnosis and management

The American Diabetes Association recommends screening using a one-step or two-step procedure for high-risk mothers, irrespective of their gestational age, at the earliest.[15] Risk factors include

  • Severe obesity

  • GDM during a previous pregnancy or delivery of a macrosomic baby

  • Presence of glycosuria

  • Diagnosis of PCOS

  • Strong family history of type 2 diabetes.

In the two-step procedure, initially, a 50 g oral glucose load is given, and a 1 h post-load value of >140 mg/dL warrants the second step of confirmation using a 100 g oral glucose load. Any two values more than the following cutoff of fasting >95 mg/dL,1 h >180 mg/dL, 2 h more than 155 mg/dL, and 3 h more than 140 mg/L confirm the diagnosis. In the single-step procedure, a 75 g oral glucose load is given, and one of the values of fasting >95 mg/dL, 1 h >180 mg/dL, and 2 h >155 mg/dL confirms the diagnosis. According to the International Association of Diabetes and Pregnancy Study Groups criteria, an oral glucose tolerance test (OGTT) is done using 75 g of glucose at 24–28 weeks, and if any one of the cutoffs is met, that is, ≥ 92 mg/dL in fasting or 1-h ≥180 mg/dL (or) 2-h ≥153 mg/dL warrants GDM diagnosis.[15]

The mainstay of the treatment is diet and exercise. Nutritional therapy might help to achieve the glycemic targets in about 80–90% of women.[5] Mothers are advised to check their glucose levels frequently to maintain the target levels. The carbohydrate intake should be reduced to 35–45% of the total calories and distributed over three meals and 2–4 snacks, including bedtime snacks. This reduces post-prandial glucose peak and also ensures adequate nutrition to the mother and the fetus.[6] Furthermore, preventing excessive weight gain during pregnancy with moderate exercise is advised for GDM mothers. If the medical nutrition therapy and exercise fail to achieve glycemic goals for a woman with GDM, insulin therapy should be initiated.[8]

CURRENT CONCEPTS IN MATERNAL NUTRITION

The four most cardinal features of a healthy pregnancy are

  • Adequate weight gain

  • Balanced diet

  • Regular exercise and

  • Appropriate micronutrient intake.

Women have special nutritional requirements during their pregnancy. There is an increased nutritional demand for optimal maternal adaptations and fetal development. A nutrient-rich diet is essential before and during pregnancy for maternal and fetal well-being. Table 1 shows the recommended micro and macronutrients for sedentary pregnant women weighing 55 kg as proposed by the National Institute of Nutrition, ICMR, from the short report on the nutrient recommendations for Indians 2020.[16]

Table 1: Recommended dietary allowances for various nutrients in pregnant women based on nutrition recommendation for Indians 2020, by NIH, ICMR.
Nutrients Amount
Energy (Kcal) 2010
Carbohydrates (g) 175–210
Proteins (g) 55.2
Fats (g) 30
Fiber (g) 30
Iron (mg) 40
Calcium (g) 1000
Magnesium (mg) 385
Zinc (mg) 14.5
Vitamin A (micrograms) 900
Vitamin B1 (Thiamine) 2
Vitamin B2 (Riboflavin) 2.7
Vitamin B3 (Niacin) 13.7
Vitamin C 80
Vitamin D 600
Folic acid (micrograms) 570

NIH: National institute of health, ICMR: Indian council of medical research

IMPACT OF MACRONUTRIENTS ON THE RISK OF GDM

Macronutrients such as carbohydrates, proteins, and lipids significantly impact the pathogenesis of GDM. Studies have shown that pre-pregnant dietary habits have an influence on the glycemic levels during pregnancy.[17] Several researchers argue that GDM development is primarily linked to macronutrients, asserting that excess energy intake plays a pivotal role.[18] The role of these micronutrients in pregnancy outcomes needs to be explored further.

Role of dietary carbohydrates in the pathogenesis of GDM

Carbohydrate is the principal macronutrient for the energy demands of the mother, fetus, and placenta during pregnancy, and it is the key macronutrient in the pathogenesis of GDM. It is well known that the quantity and quality of carbohydrates play a major role in the regulation of blood glucose. Hence, significance is given to the dietary carbohydrate intake in GDM. High-glycemic-index foods, such as processed and refined foods, can lead to a rapid rise in post-prandial glucose levels, contributing to insulin resistance, which is a hallmark of GDM.[19,20] Simple sugars are rapidly absorbed, leading to sharp post-prandial spikes in maternal blood glucose. In GDM, where insulin resistance impairs glucose clearance, these spikes are prolonged and more pronounced. The excess maternal glucose readily crosses the placenta, exposing the fetus to high glucose levels. This stimulates the fetal pancreas to produce more insulin, leading to fetal hyperinsulinemia.[13] Conversely, complex carbohydrate-containing foods such as whole grains and legumes, and fruits release glucose gradually, thereby balancing the glucose levels throughout the day.[20] The gut microbiota also has a role in carbohydrate metabolism. Changes in the composition of the gut microbiota, influenced by dietary carbohydrates, may affect the production of short-chain fatty acids and other metabolites that can impact insulin sensitivity.[20]

Role of proteins in the pathogenesis of GDM

Slightly higher levels of protein consumption are recommended in pregnancy, whereas carbohydrates and fat are similar to the pre-pregnant levels. The role of protein in GDM is still unclear. However, dietary proteins and amino acids have an important role in blood glucose regulation. Animal proteins like red meat are implicated in causing diabetes mellitus and GDM, conversely, plant-based proteins and other animal proteins such as poultry, fish, and dairy products reduce the risk.[21] This distinction could be due to the associated cholesterol and saturated fats in animal protein and variations in amino acid composition. Branched-chain amino acids (BCAAs), namely, valine, leucine, and isoleucine, have been linked to insulin resistance.[22,23] The reason is that animal proteins are rich in BCAA, which results in a 200% rise in post-prandial glucose compared to fasting. These BCCAs stimulate insulin secretion through the mammalian target of rapamycin (mTOR) pathway and downregulate IRS-1 through serine phosphorylation.[24] This inhibits the Insulin Receptor Substrate- phosphoinositide-3-kinase/Akt pathway (PI3K-Akt) signaling pathway, impairing GLUT4 translocation and reducing glucose uptake in skeletal muscle and adipose tissue. The chronic stimulation of the mTOR pathway causes B-cell exhaustion. Adequate serum protein and, in turn, dietary protein are required for the secretion of various hormones such as insulin, glucagon, and other counter-regulatory hormones. Plant proteins are rich in fiber, antioxidants, and phytochemicals, which improve insulin sensitivity and reduce inflammation.[25]

Role of dietary fats in the pathogenesis of GDM

Fatty acids also play a key role in glucose homeostasis. Increased circulating free fatty acid inhibits insulin-mediated glucose uptake, worsening the existing insulin resistance. There are minimal studies about dietary fats and the risk of GDM. Even the existing studies have proved inconsistent findings. High intake of animal fat, cholesterol, and saturated fats poses a high risk for GDM because saturated fats impact insulin signaling and induce endothelial inflammation and dysfunction.[26] These lipids activate protein kinase C, which phosphorylates IRS-1 at serine residues, inhibiting insulin signaling and GLUT4 translocation. Furthermore, the toxic lipid intermediates, such as diacyl glycerol and ceramides, in the insulin-sensitive tissue cause altered insulin receptors.[27] Saturated fats activate Toll-like receptor 4 on immune cells and adipocytes, triggering nuclear factor-kappa B (NF-κB) pathway activation. This leads to the production of pro-inflammatory cytokines (e.g., TNF-α and IL-6), which further impair insulin action and promote systemic inflammation – hallmarks of GDM.[28] They also produce an oxidative stress-rich environment due to the production of reactive oxygen, leading to pancreatic beta cell dysfunction. In contrast to all the actions mentioned above by the saturated and trans fats, monounsaturated and omega-3 fatty acids are beneficial.[29] The omega-3 fatty acids help in the synthesis of resolvins and protectins, which help in resolving inflammation. They also reduce the activation of NF-κB, thus decreasing the secretion of inflammatory mediators. In addition, the overall quality of the diet, including the types of fats consumed and the context of the overall dietary pattern, is likely to be a crucial factor in determining its impact on GDM risk. Table 2 shows the various studies done around the world on the association of diet with the risk of GDM.[29-32]

Table 2: Association between dietary patterns and gestational diabetes mellitus risk: Evidence from prospective cohort and cross-sectional studies across different regions.
Authors Region Type of study Type of dietary assessment Inference
Deepa et al.[30] South India Prospective cohort FFQ Red meat consumption during pregnancy was associated with a risk of GDM
Mahendra et al.[20] South India Prospective observational FFQ The highly diverse urban pattern diet rich in calories was associated with higher GDM risk.
Feng et al.[26] China Prospective cohort 24-h dietary recall High animal fat increases the risk of GDM, but moderate animal fat has a protective role
He et al.[31] China Prospective cohort FFQ A vegetable-rich diet has a low risk of GDM. Sweet and seafood pattern has a high risk.
Hasbullah et al.[21] Malaysia Cross-sectional FFQ A diet with a high amount of Cereals and confectioneries was significantly associated with abnormal glucose tolerance
Mohtashaminia et al.[25] Middle east Cross-sectional FFQ Mediterranean diet, which includes more consumption of vegetables and fiber, was associated with a 41% lower risk of developing GDM
Sedaghat et al.[32] Iran Cross-sectional FFQ A western dietary pattern that includes calorie-rich processed food is associated with GDM
Mizgier et al.[29] Europe Cross-sectional FFQ Total fat, saturated fatty acids, and MUFA consumption were high among GDM mothers

GDM: Gestational diabetes mellitus, FFQ: Food frequency questionnaire, MUFA: Mono unsaturated fatty acids

MICRONUTRIENTS AND THEIR ASSOCIATION WITH GDM

Micronutrients such as vitamins, calcium, iodine, iron, zinc, and magnesium play an essential role in the physiological process of pregnancy and influence the pathogenesis of GDM, which is an area of ongoing research. While their specific mechanisms are not fully understood, certain vitamins are believed to impact glucose metabolism, insulin sensitivity, and overall pregnancy outcomes.[33]

Although many studies on the dietary source of vitamins and minerals and their impact on GDM have not been conducted, studies on oral supplementation of vitamins and minerals to women with GDM and their impact on glycemic control have been done. Studies have shown that calcium and Vitamin D, which are important for bone health, also have a corroboratory role in pancreatic insulin secretion and immune modulation. Thiamine is involved in glucose metabolism.[34] Niacin plays a role in insulin receptor function. Insufficient levels may affect insulin sensitivity. Deficiency may impair insulin secretion and contribute to glucose intolerance.[34] Vitamins C and E are antioxidants that may help counteract oxidative stress, which is associated with insulin resistance and GDM. Vitamin A is involved in insulin receptor expression and function.[33]

Similarly, many definite links between mineral dynamics and GDM are present. There is a hypothesized link between intracellular calcium levels and insulin secretion.[20] Magnesium is essential for insulin sensitivity, and deficiency has been associated with impaired glucose tolerance.[35] Magnesium may influence glucose uptake and cell utilization. Zinc is involved in the storage and secretion of insulin. It plays a role in synthesizing, storing, and releasing insulin from pancreatic beta cells. Conversely, high iron poses a risk for insulin resistance and causes high hepatic glucose production.[36] Table 3 indicates the various studies done around the world on the association of micronutrient intake and GDM risk.[37,38]

Table 3: Association between micronutrient intake and gestational diabetes mellitus risk: Evidence from cross-sectional and prospective studies across different regions.
Author Region Type of study Inference
Joseph et al.[33] South India Cross-sectional The diets of pregnant women with GDM and pre-GDM were deficient in major micronutrients such as iron, calcium, carotene, thiamine, riboflavin, niacin, folic acid, and Vitamin C
Chen et al.[34] China Cross-sectional A diet rich in Vitamin A, carotene, Vitamin B2, Vitamin B6, Vitamin C, dietary fiber, folate, calcium, and potassium is associated with a lower risk of GDM
Osorio-Yáñez
et al.[37]
United States Cross-Sectional A periconceptional diet rich in calcium reduces the incidence of GDM
Ge et al.[38] China Prospective Higher intake of thiamine and riboflavin during pregnancy is associated with a lower incidence of GDM.
Looman et al.[36] Europe Prospective Micronutrient intake or status levels were not associated with glucose homeostasis, except for iron intake

GDM: Gestational diabetes mellitus

MEAL TIMING, FREQUENCY, AND ITS ASSOCIATION WITH GDM

Individual dietary patterns, including the timing of meals, frequency, the interval between two meals, and snacking, can affect insulin sensitivity. Irregular meal patterns and prolonged fasting intervals will increase insulin resistance, a key factor in GDM.[31] During such conditions, major glucose homeostasis is lost during the post-prandial state. Eating at regular intervals and avoiding long gaps between meals helps to regulate these levels. It is generally known that restricting the eating window and shifting the timing of the dietary intake earlier leads to better glycemic control.[21] However, further evidence is needed to support that energy and carbohydrate distribution in a day and eating frequency affect glycemic control.

DIETARY ASSESSMENT OF NUTRITION

Dietary nutritional assessment is the process of evaluating an individual’s dietary intake to understand the nutritional status. It involves a systematic collection of dietary data and interpretation. The collection of dietary data can be done by food records or food dairies, a 24-h dietary recall chart, food frequency questionnaire (FFQ), Household Consumption and Expenditure Survey (HECS), etc.[39]

A 24-h dietary recall chart gives a comprehensive and quantitative estimate of an individual’s diet consumed in the previous 24 h. It includes the type, portion, quantity, source, and preparation types of food and beverages. This is one of the real-time methods of data collection with minimal interpretation errors since the subject can clarify if there are any doubts, and the enumerator is administered. The nutrient content can be analyzed from the food composition database. It offers a high degree of accuracy in assessing food and nutrient intake relative to FFQ or HECS.[40] This method is quick, culturally sensitive, validated, and widely used for diet surveys in low- and middle-income countries to examine the link between diet patterns and health outcomes.[39,40] The disadvantages are that since it relies on memory, multiple collections may be required. This method mainly relies on memory but may not be a representation of actual dietary patterns; also, significant training is required for the administrator to avoid collection bias. Many studies have shown that the 24-h dietary recall is far better than the other methods because it may capture a wide variety of foods, including supplements, and if recalls are unannounced, they are not affected by reactivity.[40] Literacy is not required for the participant, and it is sensitive to ethnicity-specific differences.

CONCLUSION

Nutrition is one of the key influencers in GDM, and dietary intervention is the first line of management. Extensive research is available on the macronutrient intake in GDM; the role of micronutrients in glucose metabolism during pregnancy remains underexplored. The available studies are cross-sectional data and focus on regional dietary patterns, particularly in culturally diverse areas like South India, and are limited. To address this gap, longitudinal research focusing more on the effect of nutrient intake during each trimester and interventional studies on high-risk populations should be done.

The importance of diet should be emphasized to mothers at every stage of their pregnancy. Clinicians should offer nutrition counseling in prenatal and antenatal visits, focusing on micronutrient-rich diet intake. Policymakers must develop a universal GDM screening and culturally acceptable dietary guidelines. Antenatal health education programs should be strengthened through the frontline health workers, focusing on the role of diet in preventing GDM. Addressing these gaps through coordinated research, clinical practice, and policy can reduce GDM prevalence and improve maternal and neonatal outcomes in India.

Ethical approval:

The Institutional Review Board approval is not required.

Declaration of patient consent:

Patient’s consent was not required as there are no patients in this study.

Conflicts of interest:

There are no conflicts of interest.

Use of artificial intelligence (AI)-assisted technology for manuscript preparation:

The authors confirm that they have used artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript or image creations.

Financial support and sponsorship: Nil.

References

  1. , , , , , , et al. Burden, risk factors and outcomes associated with gestational diabetes in a population-based cohort of pregnant women from North India. BMC Pregnancy Childbirth. 2022;22:32.
    [CrossRef] [PubMed] [Google Scholar]
  2. , , . Gestational diabetes mellitus: Risks and management during and after pregnancy. Nat Rev Endocrinol. 2012;8:639-49.
    [CrossRef] [PubMed] [Google Scholar]
  3. , , . Prevalence of gestational diabetes in India by individual socioeconomic, demographic, and clinical factors. JAMA Netw Open. 2020;3:e2025074.
    [CrossRef] [PubMed] [Google Scholar]
  4. , , , , , , et al. Associations of diet and physical activity with risk for gestational diabetes mellitus: A systematic review and meta-analysis. Nutrients. 2018;10:698.
    [CrossRef] [PubMed] [Google Scholar]
  5. , , , , , , et al. An update of medical nutrition therapy in gestational diabetes mellitus. J Diabetes Res. 2021;2021:5266919.
    [CrossRef] [PubMed] [Google Scholar]
  6. . Gestational diabetes mellitus. Saudi Med J. 2015;36:399-406.
    [CrossRef] [PubMed] [Google Scholar]
  7. , , , , , , et al. Epidemiology and management of gestational diabetes. Lancet. 2024;404:175-92.
    [CrossRef] [PubMed] [Google Scholar]
  8. , , , . Gestational diabetes mellitus-recent literature review. J Clin Med. 2022;11:5736.
    [CrossRef] [PubMed] [Google Scholar]
  9. , , . Disparities in the risk of gestational diabetes by race-ethnicity and country of birth. Paediatr Perinat Epidemiol. 2010;24:441-8.
    [CrossRef] [PubMed] [Google Scholar]
  10. , . Prevalence and determinants of gestational diabetes mellitus among pregnant women in India: An analysis of National Family Health Survey Data. BMC Womens Health. 2024;24:147.
    [CrossRef] [PubMed] [Google Scholar]
  11. , , , , , , et al. National and regional prevalence of gestational diabetes mellitus in India: A systematic review and Meta-analysis. BMC Public Health. 2024;24:527.
    [CrossRef] [PubMed] [Google Scholar]
  12. , , , , . The pathophysiology of gestational diabetes mellitus. Int J Mol Sci. 2018;19:3342.
    [CrossRef] [PubMed] [Google Scholar]
  13. , , , , . Unveiling gestational diabetes: An overview of pathophysiology and management. Int J Mol Sci. 2025;26:2320.
    [CrossRef] [PubMed] [Google Scholar]
  14. , , . Gestational diabetes mellitus and maternal immune dysregulation: What we know so far. Int J Mol Sci. 2021;22:4261.
    [CrossRef] [PubMed] [Google Scholar]
  15. , . Screening and diagnosis of gestational diabetes mellitus, where do we stand. J Clin Diagn Res. 2016;10:QE01-4.
    [CrossRef] [PubMed] [Google Scholar]
  16. , . Recommended dietary allowances, ICMR 2020 guidelines: A practical guide for bedside and community dietary assessment - A review Hyderabad: National Institute of Nutrition; .
    [Google Scholar]
  17. , , , , . A prospective study of prepregnancy dietary fat intake and risk of gestational diabetes. Am J Clin Nutr. 2012;95:446-53.
    [CrossRef] [PubMed] [Google Scholar]
  18. , . Gestational diabetes mellitus and energy-dense diet: What is the role of the insulin/ igf axis? Front Endocrinol (Lausanne). 2022;13:916042.
    [CrossRef] [PubMed] [Google Scholar]
  19. , , , , . The role of dietary carbohydrates in gestational diabetes. Nutrients. 2020;12:385.
    [CrossRef] [PubMed] [Google Scholar]
  20. , , , , , , et al. Peri-conceptional diet patterns and the risk of Gestational diabetes mellitus in South Indian women. Public Health Nutr. 2022;26:1-34.
    [CrossRef] [PubMed] [Google Scholar]
  21. , , , , . Dietary patterns associated with abnormal glucose tolerance following gestational diabetes mellitus: The mynutritype study. Nutrients. 2023;15:2819.
    [CrossRef] [PubMed] [Google Scholar]
  22. , , , , . Prepregnancy dietary protein intake, major dietary protein sources, and the risk of gestational diabetes mellitus: A prospective cohort study. Diabetes Care. 2013;36:2001-8.
    [CrossRef] [PubMed] [Google Scholar]
  23. , , , , , . Dietary protein in early pregnancy and gestational diabetes mellitus: A prospective cohort study. Endocrine. 2024;83:357-67.
    [CrossRef] [PubMed] [Google Scholar]
  24. . The emerging role of branched-chain amino acids in insulin resistance and metabolism. Nutrients. 2016;8:405.
    [CrossRef] [PubMed] [Google Scholar]
  25. , , , , , , et al. Adherence to the Mediterranean diet and risk of gestational diabetes: A prospective cohort study. BMC Pregnancy Childbirth. 2023;23:647.
    [CrossRef] [PubMed] [Google Scholar]
  26. , , , , , , et al. Dietary fat quantity and quality in early pregnancy and risk of gestational diabetes mellitus in Chinese women: A prospective cohort study. Br J Nutr. 2023;129:1-10.
    [CrossRef] [PubMed] [Google Scholar]
  27. , , , , , , et al. Dietary regulation of lipid metabolism in gestational diabetes mellitus: Implications for fetal macrosomia. Int J Mol Sci. 2024;25:11248.
    [CrossRef] [PubMed] [Google Scholar]
  28. , . Obesity, inflammation, toll-like receptor 4 and fatty acids. Nutrients. 2018;10:432.
    [CrossRef] [PubMed] [Google Scholar]
  29. , , . Maternal diet and gestational diabetes mellitus development. J Matern Fetal Neonatal Med. 2021;34:77-86.
    [CrossRef] [PubMed] [Google Scholar]
  30. , , , . Food habits in pregnancy and its association with gestational diabetes mellitus: Results from a prospective cohort study in public hospitals of urban India. BMC Nutr. 2020;6:63.
    [CrossRef] [PubMed] [Google Scholar]
  31. , , , , , , et al. Maternal dietary patterns and gestational diabetes mellitus: A large prospective cohort study in China. Br J Nutr. 2015;113:1292-300.
    [CrossRef] [PubMed] [Google Scholar]
  32. , , , , , , et al. Maternal dietary patterns and gestational diabetes risk: A case-control study. J Diabetes Res. 2017;2017:5173926.
    [CrossRef] [PubMed] [Google Scholar]
  33. , , , , , , et al. How adequate are macro-and micronutrient intake in pregnant women with diabetes mellitus? A study from South India. J Obstet Gynaecol India. 2018;68:400-7.
    [CrossRef] [PubMed] [Google Scholar]
  34. , , , , , , et al. A vitamin pattern diet is associated with decreased risk of gestational diabetes mellitus in Chinese women: Results from a case control study in Taiyuan, China. J Diabetes Res. 2019;2019:5232308.
    [CrossRef] [PubMed] [Google Scholar]
  35. , , , . Maternal dietary components in the development of gestational diabetes mellitus: A systematic review of observational studies to timely promotion of health. Nutr J. 2023;22:15.
    [CrossRef] [PubMed] [Google Scholar]
  36. , , , , , , et al. Changes in micronutrient intake and status, diet quality and glucose tolerance from preconception to the second trimester of pregnancy. Nutrients. 2019;11:460.
    [CrossRef] [PubMed] [Google Scholar]
  37. , , , , . Risk of gestational diabetes mellitus in relation to maternal dietary calcium intake. Public Health Nutr. 2017;20:1082-9.
    [CrossRef] [PubMed] [Google Scholar]
  38. , , , , , , et al. Pregnancy thiamine and riboflavin intake and the risk of gestational diabetes mellitus: A prospective cohort study. Am J Clin Nutr. 2023;117:426-35.
    [CrossRef] [PubMed] [Google Scholar]
  39. , , . Dietary assessment methods in epidemiologic studies. Epidemiol Health. 2014;36:e2014009.
    [CrossRef] [PubMed] [Google Scholar]
  40. , , . Dietary assessment methods in epidemiologicaresearch: Current state of the art and future prospects. F1000Res. 2017;6:926.
    [CrossRef] [PubMed] [Google Scholar]
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