Dietary patterns during pregnancy and risk of gestational diabetes: a prospective cohort study in Western China

Dose-response association between animal protein sources and risk of gestational diabetes mellitus: a systematic review and meta-analysis

CONTEXT

There are contradictory findings about the relationship between various animal protein sources and the risk of gestational diabetes mellitus (GDM).

OBJECTIVE

The purpose of our study was to understand better the associations between total protein, animal protein, and animal protein sources and the risk of developing GDM.

DATA SOURCES

A systematic literature search was conducted in PubMed, Scopus, and Web of Science encompassing the literature up until August 2022. A random-effects model was used to combine the data. For estimating the dose-response curves, a one-stage linear mixed-effects meta-analysis was conducted.

DATA EXTRACTION

Data related to the association between animal protein consumption and the risk of GDM in the general population was extracted from prospective cohort studies.

DATA ANALYSIS

It was determined that 17 prospective cohort studies with a total of 49 120 participants met the eligibility criteria. It was concluded with high certainty of evidence that there was a significant association between dietary animal protein intake and GDM risk (1.94, 95% CI 1.42 to 2.65, n = 6). Moreover, a higher intake of total protein, total meat, and red meat was positively and significantly associated with an increased risk of GDM. The pooled relative risks of GDM were 1.50 (95% CI: 1.16, 1.94; n = 3) for a 30 g/d increment in processed meat, 1.68 (95% CI: 1.25, 2.24; n = 2) and 1.94 (95% CI: 1.41, 2.67; n = 4) for a 100 g/d increment in total and red meat, and 1.21 (95% CI: 1.10, 1.33; n = 4) and 1.32 (95% CI: 1.15, 1.52; n = 3) for a 5% increment in total protein and animal protein, respectively. GDM had a positive linear association with total protein, animal protein, total meat consumption, and red meat consumption, based on non-linear dose-response analysis.

CONCLUSION

Overall, consuming more animal protein-rich foods can increase the risk of GDM. The results from the current study need to be validated by other, well-designed prospective studies.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO registration no. CRD42022352303.

Are Maternal Dietary Patterns During Pregnancy Associated with the Risk of Gestational Diabetes Mellitus? A Systematic Review of Observational Studies

BACKGROUND/OBJECTIVES

Maternal nutritional status is a "key" contributor to Gestational Diabetes Mellitus (GDM). However, the role of maternal dietary patterns (DPs) during pregnancy remains poorly understood. Thus, we conducted a systematic review to assess associations between "a posteriori-derived" DPs and GDM.

METHODS

A systematic search was conducted in PubMed, ScienceDirect, Web of Science, and Scopus for cohort, cross-sectional, and case-control studies published until June 2024. A total of twenty-eight studies involving 39,735 pregnant women were included, and their quality was evaluated by the Newcastle-Ottawa Scale. The 91 identified DPs were classified into four categories: "Westernized", "Nutritious", "Plant-based", and "Miscellaneous".

RESULTS

Our findings do not reveal definitive associations between maternal DPs during pregnancy and GDM risk. Notably, "Westernized" DPs tended to be associated with an increased risk. However, a very small portion of patterns within this category exhibited protective associations. Conversely, "Nutritious" and "Plant-based" appear beneficial for GDM prevention in specific populations. The "Miscellaneous" category presented an almost equal distribution of DPs with both detrimental and protective associations, pinpointing the absence of a clear directional trend regarding GDM risk.

CONCLUSIONS

The heterogeneity in findings can be attributed to geographic and sociocultural variations and methodological differences across studies. Thus, there is a need for more standardized research methodologies to provide more precise insights that will ultimately help develop effective and tailored dietary guidelines for GDM prevention.

Association between dietary patterns and infant birth weight in brazilian pregnancy women with gestational diabetes: a cross-sectional study

Objective

To evaluate the association between the dietary patterns (DPs) of pregnant women with GDM (gestational diabetes mellitus) and the birth weight (BW) of the infants.

Methods

Cross-sectional study with 187 adult pregnant women with GDM attended at a maternity in Rio de Janeiro from 2011 to 2014. Dietary intake was assessed in the third trimester using a semiquantitative food frequency questionnaire (FFQ). The outcomes were BW and weight adequacy for gestational age (GA). Reduced Rank Regression (RRR) was used to explain the following response variables: density of carbohydrates, fibres, and saturated fatty acids. Statistical analyzes included multinomial logistic regression models.

Results

The mean BW was 3261.9 (± 424.5) g. Three DPs were identified, with DP 3 (high consumption of refined carbohydrates, fast foods/snacks, whole milk, sugars/sweets, and soft drinks and low consumption of beans, vegetables, and low-fat milk and derivatives) being the main pattern, explaining 48.37% of the response variables. In the multinomial logistic regression analysis no statistically significant association was found between the tertiles of DPs and BW or the adequacy of weight for GA, even after adjustments of confounding covariates.

Conclusion

No significant associations were found between maternal DPs in the third trimester of pregnancy and infant BW or adequacy of weight for GA.

Associations between diet quality and dietary patterns and gestational diabetes mellitus in a low-risk cohort of pregnant women in Australia: a cross-sectional study

INTRODUCTION

Evidence of associations between the Mediterranean Diet Score (MDS) and Dietary Approaches to Stop Hypertension (DASH) score and gestational diabetes mellitus (GDM) in pregnant women is limited. This study examined changes in MDS and DASH and dietary patterns in Australian pregnant women between early and late pregnancy and their associations with GDM.

METHODS

The data from n = 284 participants were analysed. Diet quality indices and empirical dietary patterns were determined in early (15 ± 3 weeks gestation) and late pregnancy (35 ± 2 weeks gestation). Paired t-tests were used to examine changes in scores for diet quality indices and dietary patterns from early to late pregnancy. Logistic regression analysis was used to examine associations between GDM, diet quality indices and dietary patterns.

RESULTS

Three major dietary patterns were identified at early pregnancy. The first and second dietary patterns included unhealthier and healthier food groups, respectively, and the third comprised mixed food groups. Although diet quality scores did not change over time, consumption of the first dietary pattern increased (p = 0.01), and consumption of the second dietary pattern decreased by late pregnancy in women without GDM (p < 0.001).

CONCLUSION

No associations between DASH score, MDS and GDM were found; however an inverse association was observed between the first dietary pattern and GDM in late pregnancy (p = 0.023). Longitudinal studies are needed to examine diet quality and dietary patterns at early and late pregnancy to inform the development of tailored dietary advice for GDM.

Association between plant-based or animal-based dietary pattern and plasma glucose during oral glucose tolerance test among Chinese women with gestational diabetes mellitus: a prospective cohort study

OBJECTIVE

This study explored whether plant-based and animal-based dietary patterns are associated with plasma glucose levels during oral glucose tolerance test in women with gestational diabetes mellitus (GDM).

DESIGN

A prospective cohort study was conducted using a Food Frequency Questionnaire to collect dietary data. Dietary patterns were derived using principal component analysis. Multivariate logistic regression analysis was performed to explore the association between dietary patterns and plasma glucose levels. Stratified analyses were conducted according to maternal age, prepregnancy body mass index (BMI) and other confounders.

SETTING AND PARTICIPANTS

The study, conducted in January 2022 in two hospitals in Fujian, China, involved 424 women diagnosed with GDM using a 75 g 2-hour oral glucose tolerance test at 24-28 gestational weeks.

RESULTS

Six maternal dietary patterns (plant based and animal based) were identified. Participants with plant-based pattern had lower 2-hour plasma glucose levels than those with animal-based pattern (β=-0.314; 95% CI (-0.596 to -0.032)). After adjusting the regression model covariates, this significant association remained (β=-0.288; 95% CI (-0.568 to -0.008)) and appeared more pronounced in women aged 30 years or above and those with prepregnancy BMI<24 kg/m2.

CONCLUSIONS

Plant-based pattern is associated with lower plasma glucose levels in women with GDM, which is valuable information for dietary counselling and intervention.

Trimester-specific associations of maternal dietary patterns with preterm birth: China Medical University birth cohort study

The trimester-specific associations of maternal dietary patterns with preterm birth (PTB) are unclear. In a prospective prebirth cohort study, we aimed to examine the critical time window of maternal prenatal dietary patterns and the risk of PTB. We assessed prenatal dietary intake among 1500 pregnant women with validated food frequency questionnaires during the 1st, 2nd and 3rd trimester, respectively. We used logistic regression models and generalized estimating equation models to examine the trimester-specific associations and longitudinal associations between maternal dietary patterns in relation to risk of PTB and PTB subtypes. The incidence rate of PTB was 11.9% (179 out of 1500 pregnant women) in the present study. We observed that maternal adherence to a fish-seafood pattern in the 1st trimester was associated with higher risk of PTB [tertile 3 (T3) vs. tertile 1 (T1): OR = 2.29, 95% CI: 1.32-3.96] and iatrogenic preterm birth (IPTB) (T3 vs. T1: OR = 2.26, 95% CI: 1.21-4.20), while a fish-seafood pattern in the 2nd trimester was associated with lower risk of PTB (T3 vs. T1: OR = 0.49, 95% CI: 0.25-0.93). Maternal adherence to a dairy-egg pattern in the 2nd or 3rd trimester was associated with higher risks of PTB and IPTB. No dietary patterns were associated with spontaneous preterm birth. Our findings provide new evidence that specific dietary patterns during different trimesters may have different and even inverse health effects on pregnant women. This supports the necessity of guiding the maternal diet according to different periods of pregnancy to prevent PTB.

Associations of Dietary Patterns during Pregnancy with Gestational Hypertension: The "Born in Shenyang" Cohort Study

The literature on maternal dietary patterns and gestational hypertension (GH) risk is largely ambiguous. We investigated the associations of maternal dietary patterns with GH risk among 1092 pregnant women in a Chinese pre-birth cohort. We used both three-day food diaries (TFD) and food frequency questionnaires (FFQ) to assess the diets of pregnant women. Principal components analysis with varimax rotation was used to identify dietary patterns from the TFD and FFQ, respectively. In total, 14.5% of the participants were diagnosed with GH. Maternal adherence to a “Wheaten food−coarse cereals pattern (TFD)” was associated with a lower risk of GH (quartile 3 [Q3] vs. Q1, odds ratio [OR] = 0.53, 95%CI: 0.31, 0.90). Maternal adherence to a “Sweet food−seafood pattern (TFD)” was associated with lower systolic blood pressure (Q4 vs. Q1, β = −2.57, 95%CI: −4.19, −0.96), and mean arterial pressure (Q4 vs. Q1, β = −1.54, 95%CI: −2.70, −0.38). The protective associations of the “Sweet food-seafood (TFD)” and “Fish−seafood pattern (FFQ)” with the risk of GH were more pronounced among women who were overweight/obese before pregnancy (p for interaction < 0.05 for all). The findings may help to develop interventions and better identify target populations for hypertension prevention during pregnancy.

Dietary Intake patterns in women with GDM and Non-GDM: A comparative study

Objectives

The study aimed to determine dietary Intake patterns in women with GDM and Non-GDM, a comparative study in a tertiary care hospital, Pakistan.

Methods

This comparative cross sectional study was conducted through questionnaire spread over a period of six months of pregnant women visiting to Abbasi Shaheed Hospital for ante-natal visit having 24 to 28 weeks of gestation. With the written consent of the participants dietary intake patterns were assessed in GDM & Non-GDM subjects by a three day 24 hours' recalls and food frequency questionnaire. A 24-hour dietary recall chart is a dietary assessment tool in which participants were asked to recall all food and drink they have consumed in the last 24 hours. The FFQ (food frequency questionnaire) provide a list of foods and participants were asked how often they eat each item on the list. This FFQ has 70 food items. The food frequency was reported as never, per year, per month, once a week, once and a day. The reported intake of food was converted into nutrients intake (carbohydrate, protein, fat) which was calculated by reported intake frequency of each food multiplied by reported portion size and its respective nutrient composition, summing over all foods by a trained Nutritionist.

Results

A total of 75 participants with GDM, and 75 with Non-GDM were enrolled in this study over a period of six months. It was observed that dietary intake patterns have a significant association with GDM. Those who consume carbohydrate mainly containing diet have likely to have GDM. It has been seen that those who have family history of diabetes are more likely to have GDM. Family dietary patterns can affect risk of GDM. Our study has shown that timings of meals did not find have any significant association with GDM.

Conclusion

Dietary patterns strongly influence the risk of GDM. The most contributing factors to risk of GDM are higher intake of carbohydrate rich diet and lesser consumption of fruits and vegetables.

A healthy dietary pattern with a low inflammatory potential reduces the risk of gestational diabetes mellitus

Purpose

An optimal diet for lowering the risk of gestational diabetes mellitus (GDM) is still to be defined, but may comprise of nutrient intakes, dietary patterns, diet quality, and eating frequency. This study was designed to investigate the contribution of diet in developing GDM in a comprehensive way.

Methods

The dietary intake of overweight or obese women, a risk group for GDM (n = 351), was assessed using 3-day food diaries and diet quality questionnaires in early pregnancy. Eating frequency and nutrient intakes were calculated, and dietary patterns identified using principal component analysis. The inflammatory potential of the diet was determined by calculating the dietary inflammatory index (DII^®) and energy-adjusted DII (E-DII™). GDM was diagnosed with an oral glucose tolerance test at 24–28 gestational weeks.

Results

Higher adherence to ‘healthier dietary pattern’ characterized by consumptions of vegetables and rye bread associated with a reduced risk of GDM (adjusted OR 0.27, 95% CI 0.11–0.70). Higher E-DII score, indicating pro-inflammatory diet, was associated with a 27% higher risk of GDM (adjusted OR 1.27; 95% CI 1.08–1.49) for each E-DII point. In the evaluation of nutrient intakes, total fat, saturated fatty acids (SFAs), and trans fatty acids were higher and fiber lower in women developing GDM compared to women not developing GDM (all p < 0.05). Intakes of total fat, SFAs, and trans fatty acids were also significant predictors for GDM (all p < 0.05).

Conclusions

The results emphasize the importance of an overall healthy diet and limitation of foods with SFAs, and other nutrients with a high inflammatory potential in reducing the risk of GDM.

Trial registration

ClinicalTrials.gov Identifier: NCT01922791, August 14, 2013.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00394-021-02749-z.

Association of Maternal Dietary Patterns during Pregnancy and Offspring Weight Status across Infancy: Results from a Prospective Birth Cohort in China

Literature on maternal dietary patterns during pregnancy and offspring weight status have been largely equivocal. We aimed to investigate the association of maternal dietary patterns with infant weight status among 937 mother–infant dyads in a Chinese birth cohort. We assessed maternal diet during pregnancy using food frequency questionnaires (FFQ) and three-day food diaries (TFD) and examined infants’ body weight and length at birth, 1, 3, 6, 8 and 12 months. Maternal adherence to the “protein-rich pattern (FFQ)” was associated with lower infant body mass index z-scores (BMIZ) at birth, 3 and 6 months and lower odds of overweight and obesity (OwOb) across infancy (quartile 3 (Q3) vs. quartile 1 (Q1): odds ratio (OR): 0.50, (95% confidence interval: 0.27, 0.93)). Maternal adherence to the “vegetable–fruit–rice pattern (FFQ)” was associated with higher BMIZ at birth, 3 and 6 months and higher odds of OwOb across infancy (Q3 vs. Q1: OR: 1.79, (1.03, 3.12)). Maternal adherence to the “fried food–bean–dairy pattern (TFD)” was associated with lower BMIZ at 3, 6, 8 and 12 months and lower odds of OwOb (Q3 vs. Q1: OR: 0.54, (0.31, 0.95)). The study results may help to develop interventions and to better define target populations for childhood obesity prevention.

The Impact of a Plant-Based Diet on Gestational Diabetes: A Review

Gestational diabetes mellitus (GDM) represents a challenging pregnancy complication in which women present a state of glucose intolerance. GDM has been associated with various obstetric complications, such as polyhydramnios, preterm delivery, and increased cesarean delivery rate. Moreover, the fetus could suffer from congenital malformation, macrosomia, neonatal respiratory distress syndrome, and intrauterine death. It has been speculated that inflammatory markers such as tumor necrosis factor-alpha (TNF-α), interleukin (IL) 6, and C-reactive protein (CRP) impact on endothelium dysfunction and insulin resistance and contribute to the pathogenesis of GDM. Nutritional patterns enriched with plant-derived foods, such as a low glycemic or Mediterranean diet, might favorably impact on the incidence of GDM. A high intake of vegetables, fibers, and fruits seems to decrease inflammation by enhancing antioxidant compounds. This aspect contributes to improving insulin efficacy and metabolic control and could provide maternal and neonatal health benefits. Our review aims to deepen the understanding of the impact of a plant-based diet on oxidative stress in GDM.

A dietary pattern rich in fruits and dairy products is inversely associated to gestational diabetes: a case-control study in Iran

BACKGROUND

Gestational diabetes mellitus (GDM) causes many problems for mother and her neonate. A healthy diet plays an important role in preventing GDM. This study aimed to investigate the relationship between major dietary patterns and the GDM.

METHODS

386 healthy and 306 GDM pregnant women (total 693) completed this case-control study. Basic information and anthropometric indices were recorded, and a food frequency questionnaire was completed. For extracting major dietary patterns, the principal component analysis was performed. Multivariable logistic regression models were used to examine whether specific dietary patterns are associated to the GDM.

RESULTS

Four dietary patterns were identified: "fruits and dairy products", "red meat and plant-based foods", "snacks and high-fat foods" and "carbohydrate-rich foods". Among these major extracted dietary patterns, "fruits and dairy products" showed an inverse association to the GDM (odds ratio adjusted for confounders: 0.50, confidence interval: 0.284-0.882, p-trend = 0.019, for highest vs. lowest quartile).

CONCLUSIONS

It seems using a healthy dietary pattern such as "fruits and dairy products" may decrease GDM risk.

Western Dietary Patterns, Foods, and Risk of Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis of Prospective Cohort Studies

An increasing number of epidemiological studies suggest that adherence to Western dietary patterns (WDPs) is associated with risk of gestational diabetes mellitus (GDM), but results remain inconsistent. Therefore, we conducted a systematic review and meta-analysis of the effect of WDPs and typical Western dietary foods on GDM. A literature search was performed in PubMed, Embase, Web of Knowledge, and the Cochrane Library up to December 2019. Cohort studies investigating the combined associations of WDPs with incidence of GDM were included. Reviewers were paired, and they independently reviewed and assessed studies, extracted data, and evaluated study quality. Pooled HRs were calculated using random-effects models. Heterogeneity and publication bias tests were also conducted. Twenty-one prospective cohort studies with 191,589 participants, including 12,331 women with GDM, were included in our analysis. The pooled risk ratio (RR) of WDPs was 1.52 (95% CI: 1.21, 1.91), indicating a significant association with GDM risk in Western countries. Potatoes (pooled RR: 1.12; 95% CI: 0.93, 1.35) showed a nonsignificant (P > 0.05) relation to GDM risk. However, consumption of animal meat (pooled RR: 1.35; 95% CI: 1.16, 1.57) and fast food (pooled RR: 1.75; 95% CI: 1.41, 2.19) showed a positive association with the risk of developing GDM. Subgroup analysis demonstrated that the consumption of red meat and processed red meat increased the risk of GDM more than either poultry or fish intake. Our study provides further evidence for understanding the relation between dietary factors and increased GDM risk and contributes to reducing the incidence of GDM through healthy diets.

Associations between Maternal Dietary Patterns and Perinatal Outcomes: A Systematic Review and Meta-Analysis of Cohort Studies

The aim was to systematically review and meta-analyze prospective cohort studies investigating the relation between maternal dietary patterns during pregnancy with pregnancy and birth outcomes. PubMed, Scopus, and ISI Web of Science were searched from inception until October 2019 for eligible studies. Studies reporting relative risk, ORs, or incidences (for binary data) or means ± SDs or B-coefficients (for continuous outcomes) comparing the highest and lowest adherence with maternal dietary patterns were included. Dietary patterns were categorized as "healthy," "unhealthy," or "mixed." No language restrictions were applied. Study-specific effect sizes with SEs for outcomes of interest were pooled using a random-effects model. Quality of evidence was assessed using Grading of Recommendations Assessment, Development, and Evaluation (GRADE). Sixty-six relevant publications were included. A higher maternal adherence to a healthy diet was associated with a reduced risk of gestational hypertension (14%, P < 0.001), maternal depression (40%, P = 0.004), low birth weight (28%, P = 0.001), preterm birth (56%, P < 0.001), higher gestational weight gain (Hedges' g: 0.15; P = 0.01), and birth weight (Hedges' g: 0.19; P = 0.007). Higher maternal adherence to an unhealthy or a mixed diet was associated with higher odds of gestational hypertension (23%, P < 0.001 for unhealthy, and 8%, P = 0.01 for mixed diet). In stratified analyses, a higher healthy eating index was associated with reduced odds of being large based on gestational age (31%, P = 0.02) and a higher head circumference at birth (0.23 cm, P = 0.02). The Mediterranean and "prudent" dietary patterns were related to lower odds of being small based on gestational age (46%, P = 0.04) and preterm birth (52%, P = 0.03), respectively. The overall GRADE quality of the evidence for most associations was low or very low, indicating that future high-quality research is warranted. This study was registered at http://www.crd.york.ac.uk/PROSPERO as CRD42018089756.

The association between dietary patterns with type 2 diabetes mellitus and pre-diabetes in the Henan rural cohort study

OBJECTIVE

We aimed to investigate whether dietary patterns were associated with the risk of type 2 diabetes mellitus (T2DM) or pre-diabetes in adults of rural area in Henan.

DESIGN

Cross-sectional study. Principal component analysis was used to identify dietary patterns, while multivariate logistic regression analysis and restricted cubic spline regression models were used to analyse the association between dietary patterns and both pre-diabetes and T2DM.

SETTING

Rural area of Henan province, China.

PARTICIPANTS

A total of 38 779 adults aged 18-79 years were recruited from the Henan rural cohort study as the subjects.

RESULTS

The prevalence of pre-diabetes and T2DM in rural Henan was 6·8 % and 9·4 %, respectively. A total of three dietary patterns were assessed in the present study. Dietary pattern I with a high intake of red meat and white meat; dietary pattern II with a high intake of grains, nuts, milk and eggs and dietary pattern III with a high intake of vegetables, staple food and fruits. The highest quintile (Q5) of pattern III could reduce 32·7 % risk of pre-diabetes. The Q5 of pattern II showed a 15·5 % decreased risk of T2DM, in a U-shaped dose-response manner; meanwhile, the Q5 of pattern III was significantly associated with reduced risks of T2DM (OR: 0·582, 95 % CI (0·497, 0·682)).

CONCLUSIONS

Pattern III is beneficial for reducing risk of pre-diabetes or T2DM. Though a higher consumption of 'grains-nuts-egg' may associate with a reduced risk of T2DM, excessive intakes should be avoided. This study may provide a reference for the prevention of diabetes on dietary precautions.

Update on the genetic and epigenetic etiology of gestational diabetes mellitus: a review

Background

Many studies have been conducted on the genetic and epigenetic etiology of gestational diabetes mellitus (GDM) in the last two decades because of the disease’s increasing prevalence and role in global diabetes mellitus (DM) explosion. An update on the genetic and epigenetic etiology of GDM then becomes imperative to better understand and stem the rising incidence of the disease. This review, therefore, articulated GDM candidate genes and their pathophysiology for the awareness of stakeholders.

Main body (genetic and epigenetic etiology, GDM)

The search discovered 83 GDM candidate genes, of which TCF7L2, MTNR1B, CDKAL1, IRS1, and KCNQ1 are the most prevalent. Certain polymorphisms of these genes can modulate beta-cell dysfunction, adiposity, obesity, and insulin resistance through several mechanisms. Environmental triggers such as diets, pollutants, and microbes may also cause epigenetic changes in these genes, resulting in a loss of insulin-boosting and glucose metabolism functions. Early detection and adequate management may resolve the condition after delivery; otherwise, it will progress to maternal type 2 diabetes mellitus (T2DM) and fetal configuration to future obesity and DM. This shows that GDM is a strong risk factor for T2DM and, in rare cases, type 1 diabetes mellitus (T1DM) and maturity-onset diabetes of the young (MODY). This further shows that GDM significantly contributes to the rising incidence and burden of DM worldwide and its prevention may reverse the trend.

Conclusion

Mutations and epigenetic changes in certain genes are strong risk factors for GDM. For affected individuals with such etiologies, medical practitioners should formulate drugs and treatment procedures that target these genes and their pathophysiology.

Maternal dietary patterns and risk of gestational diabetes mellitus in twin pregnancies: a longitudinal twin pregnancies birth cohort study

BACKGROUND

Gestational diabetes mellitus (GDM) is correlated with an increased risk of adverse perinatal outcomes for both the mother and offspring. Previous research has reported correlations between maternal dietary patterns and GDM, but such evidence for twin pregnancies is lacking. This study aimed to identify maternal dietary patterns in the second trimester and investigate their relationships with the risk of GDM among women who were pregnant with twins in China.

METHODS

A longitudinal twin pregnancies birth cohort study of women who were pregnant with twins in China was conducted. Maternal dietary intake in the second trimester was recorded by using a food frequency questionnaire prior to the diagnosis of GDM among participants from the prospective twin pregnancies birth cohort in Chongqing City. GDM was diagnosed with a 75 g 2-h oral glucose tolerance test at 23-26 weeks of gestation. Dietary patterns were identified by principal components analysis, and the correlations between dietary pattern and GDM were examined using multivariable logistic regression analyses.

RESULTS

Of the 324 participants, 101 (31.2%) were diagnosed with GDM. Four dietary patterns were identified: a vegetable-based pattern, a poultry-and-fruit-based pattern, a sweet-based pattern and a plant-protein-based pattern. Multivariate analysis showed that none of the dietary patterns were correlated with the risk of GDM among women who were pregnant with twins, but the sweet-based dietary pattern, which was associated with a higher GDM risk for quartile 4 versus quartile 1 (OR 2.69; 95% CI: 1.09, 6.66) among non-overweight women (prepregnancy BMI < 24.0).

CONCLUSION

Dietary patterns were not correlated with later GDM risk among women who were pregnant with twins in western China, whereas a high intake of sweets was associated with a higher risk for GDM among women who were not overweight prior to pregnancy.

TRIAL REGISTRATION

ChiCTR-OOC-16008203. Retrospectively registered on 1 April 2016.

Dietary Patterns during Pregnancy Are Associated with the Risk of Gestational Diabetes Mellitus: Evidence from a Chinese Prospective Birth Cohort Study

Dietary patterns during pregnancy have been shown to influence the development of gestational diabetes mellitus (GDM). However, evidence from Asian populations is limited and inconsistent. We conducted a prospective cohort study in China to assess the relationship between dietary patterns and GDM. We administered three-day food diaries (TFD) and food frequency questionnaires (FFQ) at the second trimester. GDM was diagnosed with a 75 g 2-h oral glucose tolerance test at 24–28 weeks of gestation. We identified dietary patterns using principal components analysis and used multivariable logistic regression to investigate associations of dietary patterns with GDM. Of the 1014 participants, 23.5% were diagnosed with GDM. Both the TFD and FFQ identified a “traditional pattern”, consisting of high vegetable, fruit, and rice intake, which was associated with a lower GDM risk (odds ratio (OR) for quartile 4 versus quartile 1: 0.40, 95% CI: 0.23–0.71 for traditional pattern (TFD); OR: 0.44, CI: 0.27–0.70 for traditional pattern (FFQ)). The protective associations were more pronounced among women ≥35 years old. A whole grain–seafood TFD pattern was associated with higher risk of GDM (OR: 1.73, 95% CI: 1.10–2.74). These findings may provide evidence for making dietary guidelines among pregnant women in Chinese populations to prevent GDM.