Gestational weight gain trajectories over pregnancy and their association with maternal diet quality: Results from the PRINCESA cohort

Ancira-Moreno, Mónica; Vadillo-Ortega, Felipe; Rivera‐Dommarco, Juan; Sánchez, Brisa N.; Pasteris, Jeremy; Batis, Carolina; Castillo-Castrejón, Marisol; OʼNeill, Marie S.

doi:10.1016/j.nut.2019.02.002

Cited by 29 publications

(31 citation statements)

References 38 publications

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“…The Pregnancy Research on Inflammation, Nutrition & City Environment: Systematic Analyses (PRINCESA) prospective cohort study was conducted at the Hospital Materno Infantil Inguarán in Mexico City. The PRINCESA cohort was established to evaluate the effect of diverse environmental exposures during pregnancy on fetal development and maternal health [ 32 , 33 ]. Participants were recruited from 2010 to 2015, they entered follow-up no later than 18 weeks of gestation and were followed monthly ( n = 794).…”

Section: Methodsmentioning

confidence: 99%

Association of pre-pregnancy body mass index and rate of weight gain during pregnancy with maternal indicators of cardiometabolic risk

et al. 2021

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Background/objective Changes in metabolism and extensive hemodynamic adjustments occur during normal pregnancy. The presence of maternal obesity imposes an overload to these physiological adaptations that may result in increased risk for the development of cardiometabolic complications during and after pregnancy. The aim of this study is to describe total cholesterol (TC), triglycerides (TG), glucose, and arterial blood pressure (BP) trajectories and to analyze the association of these cardiometabolic risk indicators during pregnancy with pre-pregnancy body mass index (pBMI) and monthly gestational weight gain (MGWG). Subjects/methods A prospective cohort study of pregnant women was conducted in Mexico City. Monthly samples of blood were taken during clinical follow-up and biochemical and blood pressure were measured during each visit. Adjusted linear mixed-effect regression models were fit to describe the trajectories of these biomarkers during pregnancy and to analyze the association with pBMI and MGWG. Results Seven hundred and twenty women were included of which 16.6% had pre-gestational obesity, 33.2% had pre-gestational overweight, 45.8% had normal pBMI and 4.4% had pre-gestational underweight. Women with pre-gestational obesity had higher lipids concentrations in the beginning of pregnancy (TC: $$\hat \beta$$ β ̂ = 33.08, p = 0.010; TG: $$\hat \beta$$ β ̂ = 31.29, p = <0.001) but the concentrations increased less than in women with normal pBMI (TC: $$\hat \beta$$ β ̂ = −14.18, p = 0.001; TG: $$\hat \beta$$ β ̂ = −5.42, p < 0.001). By the end of pregnancy, women with pre-gestational obesity had lower concentrations of lipids than women with normal pBMI. By contrast, women with pre-gestational obesity had higher glucose concentrations and higher BP levels than women with normal pBMI over pregnancy. Conclusions pBMI is differentially associated with longitudinal trajectories of maternal biochemical markers of cardiometabolic risk. MGWG did not significantly affect the biochemical indicators or BP trajectories. Our results suggest that pBMI is more relevant to predicting adverse cardiometabolic markers trajectories during pregnancy than MGWG.

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Section: Methodsmentioning

confidence: 99%

Association of pre-pregnancy body mass index and rate of weight gain during pregnancy with maternal indicators of cardiometabolic risk

et al. 2021

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“…Six studies reported gestational weight gain according to NAM guideline as an outcome. 33,[47][48][49][50][51] Pooled results demonstrated no statistically significant association between diet quality and excessive (OR: 0.91; 95 CI: 0.76, 1.10; I 2 = 59%; P-heterogeneity = 0.03; Figure 2) or inadequate gestational weight gain (OR: 0.90; 95 CI: 0.70, 1.17; I 2 = 80%; P-heterogeneity < 0.01; Figure S1). Results were consistent in the sensitivity analysis where the moderate quality study 33 was excluded (Table S6).…”

Section: Maternal Outcomes Gestational Weight Gainmentioning

confidence: 99%

Association between diet quality during preconception or pregnancy and adverse perinatal outcomes: a systematic review and meta-analysis

Hardy

Sun

et al. 2021

Preprint

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Background: Although women are encouraged to achieve good diet quality in preconception and pregnancy, the benefits on perinatal outcomes have not been established. Objective: To systematically review and quantify the association between diet quality and adverse perinatal outcomes. Search strategy: Medline, Embase, Food Science and Technology Abstracts and CINAHL were searched up to 5th March 2020. Selection criteria: Two authors independently screened, selected and coded relevant prospective cohort studies. Data collection and analysis: Thirty-three studies (315,431 participants) were included in the meta-analysis. Odds ratios and mean differences from individual studies were pooled using random-effects models. Main Results: The pooled results for the association between diet quality and excessive (OR: 0.91; 95 CI: 0.76, 1.10) or inadequate (OR: 0.90; 95 CI: 0.70, 1.17) gestational weight gain were not statistically significant. Women in the top tertile of diet quality scores during prepregnancy or pregnancy had a lower risk of gestational diabetes (OR: 0.77; 95 CI: 0.65, 0.90), hypertensive disorders of pregnancy (OR: 0.87; 95 CI: 0.83, 0.92), preterm birth (OR: 0.77; 95 CI: 0.66, 0.89), small for gestational age (OR: 0.88; 95 CI: 0.79, 0.99) and low birth weight (OR: 0.60; 95 CI: 0.37, 0.99) compared to those in the bottom tertile. No studies were found for delivery mode. Conclusions: Data from prospective cohort studies support the potential of improving maternal diet quality in the effort to prevent adverse perinatal outcomes. Funding: Canadian Institutes of Health Research HLT 151517, National Natural Sciences Foundation of China No. 81661128010 Keywords: Diet quality, perinatal outcomes.

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“…A prospective cohort study (2009-2014) with 660 pregnant women from Mexico City showed an association between better diet quality, evaluated by the Maternal Diet Quality Score, and lower risk of children with low birth weight (odds ratio=0.22; p< 0.05). 13 In a population-based cohort in Sweden, pregnant women with the worst diet quality had a 4.3 times higher risk of excessive weight gain compared to the segment with the best food quality (p=0.010); in addition, weight gain increased the risk of emergency cesarean delivery by two times.…”

Section: Introductionmentioning

confidence: 98%

Consumption of healthy food and ultra-processed products: comparison between pregnant and non-pregnant women, Vigitel 2018

Ruiz

Assumpção

Malta

et al. 2021

Rev. Bras. Saude Mater. Infant.

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Objectives: to characterize pregnant women’s eating habits and compare them to women of reproductive age, and to analyze the association between pregnancy and eating habits. Methods: a cross-sectional study with 13,108 women aged 18 to 50 years (179 pregnant women), included in the Vigitel 2018 telephone survey. Eating habits were assessed by the frequency of food consumption considered as food quality markers and by food eaten in previous day. NOVA classification was used to categorize food into: natural/minimally processed, and ultra-processed food products. The differences were verified by Pearson's Chi-square test and Poisson multiple regression. Results: in pregnant women, we observed lower percentages of natural juice intake (27.5%) and fruit (10.1%) 0-2 times/week, and higher percentages of juice (36.4%) 3-4 times and fruit (74.2%) ≥ 5 times/week compared to non-pregnant women. No differences were detected in the daily frequencies of food intake among the women. The day before the interview, almost 95% of the pregnant women consumed ultra-processed products. Pregnant women reported a lower frequency of soft drink consumption (12.3%) and sauces (7.4%) than non-pregnant women. Conclusion: pregnant women and non-pregnant women had high consumption of ultraprocessed products, highlighting the necessity of interventions, aiming to promote healthy eating.

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Gestational weight gain trajectories over pregnancy and their association with maternal diet quality: Results from the PRINCESA cohort

Cited by 29 publications

References 38 publications

Association of pre-pregnancy body mass index and rate of weight gain during pregnancy with maternal indicators of cardiometabolic risk

Association of pre-pregnancy body mass index and rate of weight gain during pregnancy with maternal indicators of cardiometabolic risk

Association between diet quality during preconception or pregnancy and adverse perinatal outcomes: a systematic review and meta-analysis

Consumption of healthy food and ultra-processed products: comparison between pregnant and non-pregnant women, Vigitel 2018

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