Dietary energy density but not glycemic load is associated with gestational weight gain1-3 (original) (raw)
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Dietary energy density but not glycemic load is associated with gestational weight gain
The American journal of clinical nutrition, 2008
Most pregnant women gain more weight than the ranges recommended. Excessive weight gain is linked to pregnancy complications and to long-term maternal and child health outcomes. The objective was to examine the impact of dietary glycemic load and energy density on total gestational weight gain and the weight gain ratio (observed weight gain/expected weight gain). Data are from 1231 women with singleton pregnancies who participated in the Pregnancy, Infection, and Nutrition Cohort Study. Dietary information was collected at 26-29 wk of gestation with the use of a semiquantified food-frequency questionnaire. Linear regression models were used to estimate the associations between quartiles of glycemic load and energy density with total gestational weight gain and weight gain ratio. Dietary patterns of pregnant women significantly differed across many sociodemographic and behavioral characteristics, with the greatest contrasts seen for glycemic load. After adjustment for covariates, com...
BMC Pregnancy and Childbirth, 2016
Background: The aim of our study was to examine maternal weight gain as well as nutrient intake in pregnancy throughout each trimester compared to current recommendations in a low-risk population and its correlation to birth weight. Additionally, we have investigated the association of maternal nutrition with gestational weight gain and birth weight in an economically unrestricted population. Methods: Our analysis was carried out in a population-based prospective birth cohort in Hamburg, Germany. 200 pregnant women and 197 infants born at term were included in the analysis. Maternal body weight, weight gain throughout gestation, and birth weight, macro-and micronutrients were assessed based on a 24 h dietary recall in each trimester. Our main outcome measures were weight gain, birth weight, and self-reported dietary intake in each trimester in comparison to current recommendations. Results: One third of the women were characterized by an elevated pre-pregnancy BMI, 60 % did not comply with current weight gain recommendations. Particularly overweight and obese women gained more weight than recommended. In a multivariate analysis birth weight correlated significantly with maternal BMI (p = 0.020), total weight gain (p = 0.020) and gestational week (p < 0.001). Compared to guidelines mean percentage of energy derived from fat (p = 0.002) and protein (p < 0.001) was significantly higher, whereas carbohydrate (p = 0.033) intake was lower. Mean fiber intake was significantly lower (p < 0.001). Saturated fat and sugar contributed largely to energy consumption. Gestational weight gain correlated significantly with energy (p = 0.027), carbohydrates (p = 0.008), monosaccharides and saccharose (p = 0.006) intake. 98 % of the pregnant women were below the iodine recommendation, while none of the women reached the required folate, vitamin D, and iron intake. Conclusions: During gestation appropriate individual advice as to nutrient intake and weight gain seems to be of high priority. Pregnancy should be used as a 'window of opportunity' for behavioral changes.
Is gestational weight gain associated with diet quality during pregnancy?
Maternal and child health journal, 2014
The gestational weight gain (GWG) guidelines of the Institute of Medicine (IOM) aim to optimize birth outcomes and reduce pregnancy complications. The GWG guidelines are set based on the prepregnancy weight status and optimal weight gain at different trimesters of pregnancy. Dietary references intakes (DRIs) of the IOM are set for each trimester of pregnancy for energy intake and other essential nutrients by age groups (≤ 18, 19-30, 31-51 years). The DRIs, however, do not take into account the differing energy and nutrient requirements of women with different prepregnancy weights. In this cross-sectional study, we tested the hypothesis that diet quality during pregnancy is associated with adequate GWG at different stages of pregnancy. Diet quality during pregnancy was assessed from a 24-h recall measured by the healthy eating index of 2005 (HEI-2005). Both GWG and diet quality data were from 490 pregnant women aged 16-43 years included in National Health and Nutrition Examination Su...
BMJ open, 2015
To examine the relation between the protein:carbohydrate (P/C) ratio and added sugar intake in pregnancy and gestational weight gain (GWG). A prebirth cohort including 103 119 pregnancies enrolled between 1996 and 2003. All women in Denmark were eligible to participate if they spoke Danish and were planning to carry to term.The pregnant women were recruited and enrolled during their first antenatal visit (6-10 weeks of gestation). Participants included women with live-born singletons and complete data on dietary intake and GWG, leaving 46 262 women for the analysis. Macronutrient intake was quantified using a validated food frequency questionnaire administered in the 25th week of gestation. The P/C ratio and added sugar intake were examined in quintiles. GWG was based on self-reported weight in gestational weeks 12 and 30 and defined as gain in g/week. We used multivariable linear regression, including adjusting for pre-pregnancy body mass index, to calculate relative change in GWG ...
Nutrients
Resting energy expenditure (REE) comprises 60% of total energy expenditure and variations may be associated with gestational weight gain (GWG) or maternal diet. The objective of this study was to examine the impact of metabolic tracking on GWG and the association with maternal macronutrients. Pregnant women aged 29.8 ± 4.9 years (78.6% non-Hispanic, White) with gestational age (GA) < 17 week were randomized to Breezing™ (n = 16) or control (n = 12) groups for 13 weeks. REE by Breezing™ indirect calorimetry, anthropometrics and dietary intake were collected every two weeks. Early (14–21 weeks), late (21–28 weeks), and overall (14–28 weeks) changes in macronutrients and GWG were calculated. The Breezing™ group had a significantly greater rate of GWG [F (1,23) = 6.8, p = 0.02] in the latter half of the second trimester. Late (−155.3 ± 309.2 vs. 207.1 ± 416.5 kcal, p = 0.01) and overall (−143.8 ± 339.2 vs. 191.8 ± 422.2 kcal, p = 0.03) changes in energy consumption were significantly...
Comparison of national gestational weight gain guidelines and energy intake recommendations
Obesity Reviews, 2012
Although data showing adverse effects with high and low gestational weight gain (GWG) come from a large number of countries, a variety of guidelines about the GWG exist. Our objectives were to compare existing GWG and energy recommendations across various countries, as well as the rationale or evidence on which they were based. We used the United Nations' Human Developmental Index to determine the ranking of the country to ensure broad sampling and then searched for guidelines. We first searched the national government websites, and if necessary searched Medline and EMBASE, Global Health databases, and bibliographies of published articles for both guidelines and the studies on which they were based. We found guidelines for 31% of the countries, and 59% of these had a GWG recommendation, 68% had an energy intake recommendation (EIR), and 36% had both. About half of the GWG guidelines are similar to the 2009 American Institutes of Medicine (IOM) and 73% of the EIRs are similar to the 2006 IOM. Despite the documented relationship between both high GWG and adverse outcomes for women and infants and low GWG and adverse outcomes in infants, there are a wide variety of guidelines for GWG and energy recommendations by different countries around the world.
British Journal of Nutrition, 2013
Dietary glycaemic index and glycaemic load (GL) have been related to obesity and other health outcomes. The objective of the present study was to examine the associations between maternal dietary GL and gestational weight gain, birth weight, the risk of giving birth to a child large-for-gestational age (LGA) or small-for-gestational age and postpartum weight retention (PPWR). Data were derived from the Danish National Birth Cohort (1996 -2002), including data on gestational and lifestyle factors in pregnancy and 18 months postpartum. Dietary data were collected using a validated FFQ. Information on birth outcome was obtained through registers. A total of 47 003 women were included. The associations between the GL and birth outcome, gestational weight gain, assessed between weeks 12 and 30 of gestation, and PPWR were analysed by linear and logistic regression. Birth weight increased by 36 g from the lowest to highest GL quintile (95 % CI 19, 53 g), and an increased risk of LGA of 14 % was detected in the highest GL quintile compared with the lowest GL quintile. Among normal-weight and overweight women, higher gestational weight gain rates were detected in the highest GL quintile (26 g/week (95 % CI 19, 34) and 30 g/week (95 % CI 13, 46), respectively). The association between the GL and PPWR was most pronounced among pre-pregnant obese women, with an increase in weight retention of 1·3 (95 % CI 0·2, 2·8) kg from the lowest to highest GL quintile. The GL may play a role for excessive gestational weight gain and PPWR, which may be more pronounced among overweight and obese women.
Food intake and gestational weight gain in Swedish women
SpringerPlus, 2016
Background: The objective of this study was to investigate if food intake (dairy, snacks, caloric beverages, bread, cheese, margarine/butter, potato/rice/pasta/grains, red meat, fish and fruit/berries/vegetables) is associated with gestational weight gain (GWG) in Swedish women. Methods: Four day food records from 95 pregnant Swedish women were collected in the last trimester. GWG was calculated as weighed body weight in the last trimester (median gestational week 36) minus self-reported prepregnancy body weight. Excessive GWG was defined according to the guidelines by the Institute of Medicine. Food groups tested for association with GWG were dairy (milk, yoghurt and sour milk), snacks (sweets, crisps, popcorn, ice cream and cookies, but not nuts and seeds), caloric beverages (soft drinks, juice, lemonade and non-alcoholic beer), bread, cheese, margarine/butter, potato/rice/pasta/grains, red meat, fish and fruit/berries/vegetables. Results: Median (lower-upper quartiles) GWG was 12.1 kg (10.0-15.3). In total, 28 % had an excessive GWG. Excessive GWG was most common among pre-pregnancy overweight and obese women, where 69 % had an excessive GWG. Median daily intake of fruits and vegetables was 352 g (212-453), caloric beverages was 238 g (100-420) and snacks was 111 g (69-115). Multivariable linear regression analysis showed that intake of caloric beverages, snacks, fish, bread and dairy in the last trimester of pregnancy were positively related to GWG (R 2 = 0.32). Multivariable logistic regression analysis showed that intake of caloric beverages, snacks, fish, and bread was associated with higher odds ratios for excessive GWG. Conclusion: Intake of caloric beverages, snacks, fish and bread were positively related to excessive GWG. Thus, these results indicate that maternal dietary intake should be given higher attention in the antenatal care.
Assessment of pregnancy dietary intake and association with maternal and neonatal outcomes
Pediatric Research
Background Maternal dietary habits are contributors of maternal and fetal health; however, available data are heterogeneous and not conclusive. Methods Nutrient intake during pregnancy was assessed in 503 women with uncomplicated pregnancies, using the validated Food Frequency Questionnaire developed by the European Prospective Investigation into Cancer and Nutrition (EPIC-FFQ). Results In all, 68% of women had a normal body mass index at the beginning of pregnancy, and 83% of newborns had an appropriate weight for gestational age. Maternal pre-pregnancy body mass index (BMI), gestational weight gain (GWG), and placental weight were independently correlated with birth weight. GWG was not related to the pre-pregnancy BMI. EPIC-FFQ evaluation showed that 30% of women adhered to the European Food Safety Authority (EFSA) ranges for macronutrient intake. In most pregnant women (98.1%), consumption of water was below recommendations. Comparing women with intakes within EFSA ranges for mac...
Current developments in nutrition, 2019
Objectives: Resting energy expenditure (REE) comprises 60% of total energy expenditure and variations may be associated with gestational weight gain (GWG). There is a paucity of research investigating the relationship between REE and GWG. We investigated variations in REE and dietary composition throughout the second trimester and their association with GWG. Methods: In this controlled trial, pregnant women (N = 16, mean age of 29.9 ± 4.3 years) with a gestational age < 17 weeks used the Breezing TM device for 13 weeks. This device is a real-time metabolism tracker that measures REE via indirect calorimetry. Height, weight, REE, and dietary intake via 24-hr recall were assessed every 2 weeks. Rate of GWG was calculated as weight gain divided by number of study weeks. Early (EC, GA wks 14-21), late (LC, GA wks 21-28), and overall (OC, GA wks 14-28) changes in macronutrient composition, REE, and GWG were used to evaluate time-specific associations.