scholarly journals Resting energy expenditure guided intervention for gestational weight gain in obese and overweight women

2019 ◽  
Author(s):  
Xiuling Zhao ◽  
Wei Ma ◽  
Caixia Zhang ◽  
Pili Xu ◽  
Chunmei Zhang ◽  
...  
Keyword(s):  
Weight Gain ◽  
Energy Expenditure ◽  
Gestational Weight Gain ◽  
Intervention Group ◽  
Resting Energy Expenditure ◽  
Control Group ◽  
Overweight Women ◽  
Gestational Weight ◽  
Beijing China ◽  
Resting Energy

Abstract Background There is sparse in the literature on resting energy expenditure guided intervention to manage gestational weight gain in obese and overweight women.Methods We conducted a prospective cohort study in Beijing, China between May 1, 2017 and April 30, 2018. Obese/overweight women who visited the Department of Obstetrics and Gynecology at LuHe hospital of Capital Medical University, a tertiary care facility in Beijing, China, for their routine prenatal care at 10-13 weeks of gestation during the study period were recruited into the study after written consent was obtained. Women whose pre-pregnant body mass index was < 25Kg/m2 or who took steroid medication or those diagnosed with thyroid disease or affected by pre-pregnant diabetes mellitus or for other reasons could not participate in the study assessments were excluded. Participants who were recruited between May 1, 2017 and December 30, 2017 were the designated control group with diet recommendation based on pre-pregnancy body mass index and ideal weight, without resting energy expenditure monitoring. Those who were recruited between November 1, 2017 and April 30, 2018 were the intervention group, with resting energy expenditure guided diet recommendation to manage gestational weight gain. Gestational weight gain and perinatal outcomes between the two study groups were then compared.Results A total of 53 eligible women (32 in intervention group and 21 in control group) were recruited and included in the final analysis. There was no difference in baseline demographic and clinical characteristics between the two groups. Gestational weight gain in the intervention group (13.45±4.16 Kg) was lower than in the control group (18.20±4.84 Kg). Rate of macrosomia in the intervention group (3.12%) was also lower than in the control group (19.05%). There was no fetal growth restriction observed in either group.

scholarly journals Resting Energy Expenditure Guided Intervention for Gestational Weight Gain in Obese and Overweight Women

2020 ◽  
Author(s):  
Xiuling Zhao ◽  
Wei Ma ◽  
Caixia Zhang ◽  
Pili Xu ◽  
Chunmei Zhang ◽  
...  
Keyword(s):  
Weight Gain ◽  
Energy Expenditure ◽  
Gestational Weight Gain ◽  
Intervention Group ◽  
Resting Energy Expenditure ◽  
Control Group ◽  
Overweight Women ◽  
Gestational Weight ◽  
Beijing China ◽  
Resting Energy

Abstract BackgroundThere is sparse in the literature on resting energy expenditure guided intervention to manage gestational weight gain in obese and overweight women. Methods We conducted a prospective cohort study in Beijing, China between May 1, 2017 and April 30, 2018. Obese/overweight women who visited the Department of Obstetrics and Gynecology at LuHe hospital of Capital Medical University, a tertiary care facility in Beijing, China, for their routine prenatal care at 10-13 weeks of gestation during the study period were recruited into the study after written consent was obtained. Pregnant women who took steroid medication or who were diagnosed with thyroid disease or affected by pre-pregnant diabetes mellitus or for other reasons could not participate in the study assessments were excluded. Women who were recruited between May 1, 2017 and November 30, 2017 were the designated control group with diet recommendation based on pre-pregnancy body mass index and ideal weight, without resting energy expenditure monitoring. Women who were recruited between December 1, 2017 and April 30, 2018 were the intervention group, with resting energy expenditure guided diet recommendation to manage gestational weight gain. Gestational weight gain and perinatal outcomes between the two groups were compared.ResultsA total of 53 eligible women (32 in intervention group and 21 in control group) were recruited and included in the final analysis. There was no difference in baseline demographic and clinical characteristics between the two groups. Gestational weight gain (GWG) in the intervention group (13.45±4.16 Kg) was lower than in the control group (18.20±4.84 Kg). Rate of excess GWG in the intervention group (37.59%) was also lower than in the control group (66.67%). The REE in women of the intervention group with excess GWG increased faster than women with appropriate GWG during pregnancy, especially from 1st trimester to 2nd trimester. Rate of macrosomia in the intervention group (3.12%) was lower than in the control group (19.05%). There was no fetal growth restriction observed in either group. Conclusion: Resting energy expenditure guided nutrition intervention during pregnancy may lower GWG and lower incidence of macrosomia, with no apparent impact on fetal growth restriction. Future studies with larger sample size and randomized controlled trial design are needed to confirm findings from this small-scale study.

scholarly journals Evaluation of Variability in Resting Energy Expenditure and Its Relationship with Macronutrients and Gestational Weight Gain During the Second Trimester of Pregnancy (P11-136-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Kiley Vander Wyst ◽  
Matthew Buman ◽  
Gabriel Shaibi ◽  
Megan Petrov ◽  
Elizabeth Reifsnider ◽  
...  
Keyword(s):  
Weight Gain ◽  
Energy Expenditure ◽  
Total Energy ◽  
Gestational Weight Gain ◽  
Early Period ◽  
Resting Energy Expenditure ◽  
Dietary Composition ◽  
Second Trimester ◽  
Gestational Weight ◽  
Resting Energy

Abstract 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™ 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. Group differences were analyzed using a General Linear Model in SPSS Version 25. Results Among the 16 participants, 25% of women were normal weight, 50% were overweight, and 25% were obese at study start. Women had a total and rate of GWG of 8.1 ± 2.9 kg and 0.6 ± 0.2 kg/wk, respectively. REE increased 72 ± 211 kcals/d during the early period, 121 ± 294 kcals/d during the late period, and 200 ± 316 kcals/d overall (from 1544 ± 237 kcal/d to 1744 ± 384 kcal/d). Early changes in REE were significantly correlated with the late changes in total (r = 0.52, P = 0.04) and rate of weight gain (r = 0.54, P = 0.03). A correlation between overall changes in REE and total weight gain was moderate and approached significance, r = 0.44, P = 0.09. Changes in total energy, fat, carbohydrate, and protein intake were not correlated with changes in REE; however, a moderate relationship between early changes in REE and overall changes in energy intake approached significance, r = 0.46, P = 0.07. Changes in GWG and REE did not differ among normal, overweight, or obese women (EC: F(2,15) = 0.36, P = 0.70; LC: F(2,15) = 2.37, P = 0.13; OC: F(2.15) = 1.27, P = 0.31). Conclusions Early changes in REE demonstrated a moderate, positive correlation with total and rate of GWG suggesting that assessment of REE early in pregnancy may help understand changes in GWG. Future research that evaluates both REE and dietary composition throughout pregnancy may provide insight into appropriate GWG. Funding Sources Project HoneyBee, Arizona State University.

scholarly journals Resting Energy Expenditure Relationship with Macronutrients and Gestational Weight Gain: A Pilot Study

Nutrients ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 450
Author(s):  
Kiley B. Vander Wyst ◽  
Matthew P. Buman ◽  
Gabriel Q. Shaibi ◽  
Megan E. Petrov ◽  
Elizabeth Reifsnider ◽  
...  
Keyword(s):  
Weight Gain ◽  
Energy Expenditure ◽  
Gestational Weight Gain ◽  
Maternal Diet ◽  
Resting Energy Expenditure ◽  
Gestational Weight ◽  
And Control ◽  
The Impact ◽  
Hispanic White ◽  
Resting Energy

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 different between Breezing™ and control groups, respectively. Early changes in REE were positively correlated with overall changes in carbohydrates (r = 0.58, p = 0.02). Regular metabolism tracking alone did not have an impact on GWG. Early shifts in REE might impact GWG later in pregnancy. Investigation in a larger population from preconception through postpartum is needed.

scholarly journals Resting Energy Expenditure Relationship with Macronutrients and Gestational Weight Gain: A Pilot Study

2019 ◽  
Author(s):  
Kiley B. Vander Wyst ◽  
Matthew P. Buman ◽  
Gabriel Q. Shaibi ◽  
Megan E. Petrov ◽  
Elizabeth Reifsnider ◽  
...  
Keyword(s):  
Weight Gain ◽  
Energy Expenditure ◽  
Dietary Intake ◽  
Gestational Weight Gain ◽  
Resting Energy Expenditure ◽  
Second Trimester ◽  
Or Education ◽  
Gestational Weight ◽  
The Impact ◽  
Resting Energy

Abstract Background: 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 ambulatory metabolic tracking on GWG and the association with maternal macronutrient composition during mid-pregnancy. Methods: Pregnant women aged 29.8±4.9 yr (78.6% non-Hispanic, White) with gestational ages (GA) < 17 wk were randomized to Breezing™ (N=16) or control (N=12) groups for 13 wks. REE by Breezing™ indirect calorimetry, anthropometrics and dietary intake were collected every two weeks. Early (GA weeks 14-21), late (GA weeks 21-28), and overall (GA week 14-28) changes in macronutrients and GWG were calculated. Results: Overall total and rate of GWG did not differ by group but Breezing™ women had lower rate and total GWG in the beginning of the second trimester but gained significantly more weight [F(1,24)=5.29, p=0.03] in the latter half. Independent of group assignment, early increases in REE were associated with an increased rate of GWG later in pregnancy (r=0.53, p=0.05). Dietary intake did not differ by group at baseline; however, overall energy (-144±339 vs. 192±422, p=0.03) and protein (-10±24 vs. 13±31, p=0.05) intake were significantly lower for the Breezing than the control women which primarily occurred in the latter half of the second trimester. Conclusion: Regular metabolism tracking alone did not have an impact on GWG. Assessment of REE during pregnancy in conjunction with nutritional counseling or education may result in improvements in GWG.

scholarly journals Variations in resting energy expenditure: impact on gestational weight gain

2017 ◽  
Vol 217 (4) ◽  
pp. 445.e1-445.e6 ◽  
Author(s):  
E.K. Berggren ◽  
P. O’Tierney-Ginn ◽  
S. Lewis ◽  
L. Presley ◽  
S. Hauguel De-Mouzon ◽  
...  
Keyword(s):  
Weight Gain ◽  
Energy Expenditure ◽  
Gestational Weight Gain ◽  
Resting Energy Expenditure ◽  
Gestational Weight ◽  
Resting Energy

scholarly journals Effect of Educational Short Message Service (SMS) on Excessive Gestational Weight Gain (GWG)

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1004-1004
Author(s):  
Hannah Holmes ◽  
Cristina Palacios ◽  
Yan Yan Wu ◽  
Jinan Banna
Keyword(s):  
Weight Gain ◽  
Gestational Weight Gain ◽  
Intervention Group ◽  
Text Messages ◽  
Control Group ◽  
Short Message ◽  
Control Groups ◽  
Gestational Weight ◽  
Message Service ◽  
And Control

Abstract Objectives The objective of this trial was to investigate the effect of educational short message service (SMS), or text messages, on gestational weight gain (GWG) in a low-income population. It was expected that the intervention group, which received text messages on nutrition and physical activity during pregnancy, would experience less GWG when compared to the control group. Methods Participants (n = 83) were recruited at WIC clinics on the island of O‘ahu, Hawai‘i at 15–20 weeks gestational age. Eligibility criteria were: body mass index (BMI) of 25–45 kg/m2 in the first trimester, 18 years of age or older at the time of recruitment, and possession of a cellular phone with the ability to receive text messages. After recruitment, participants were randomized into intervention (n = 42) and control (n = 41) groups. The intervention group received SMS on nutrition and physical activity during pregnancy per the Institute of Medicine and American College of Obstetricians and Gynecologists guidelines, respectively. The control group received SMS about general health topics during pregnancy. Both groups received one text message per week for eighteen weeks. GWG was defined as the difference between the last weight taken before delivery and participants’ self-reported weight before pregnancy. GWG in intervention and control groups was compared using a linear regression model. Results Women were age 27.7 ± 5.3y on average, 65.5% were Native Hawaiian, Pacific Islander or American Indian, 54.8% had some college or more and 37.8% were employed. The average weight before pregnancy was higher in the intervention group (80.6 + 17.7 kg) than that in the control group (76.2 + 15.9 kg), but this difference was not significant (P = 0.24). GWG was lower in the control group (14.1 + 11.4 kg) compared to the intervention group (15.5 + 11.6 kg), but this result was not significant (P = 0.58). Conclusions There was no significant difference in gestational weight gain between the intervention and control groups. Trials that begin earlier in pregnancy or before pregnancy with longer interventions and more frequent messages are needed. Funding Sources Mountain West Clinical Translational Research Infrastructure Network under a grant from the National Institute of General Medicine Sciences of the National Institutes of Health.

scholarly journals Effect of gestational Mediterranean diet intervention on newborn fat mass and cord blood leptin level

2020 ◽  
Vol 68 (1) ◽  
Author(s):  
Rania Mohamed Abdou ◽  
Gehan Sayed El Hawary ◽  
Azza A. Saab
Keyword(s):  
Weight Gain ◽  
Mediterranean Diet ◽  
Gestational Weight Gain ◽  
Fat Mass ◽  
Intervention Group ◽  
Control Group ◽  
Dietary Counseling ◽  
Diet Intervention ◽  
Gestational Weight ◽  
The Impact

Abstract Background Maternal nutritional status is an important determinant of intrauterine growth and neonatal size. No published surveys exist on maternal Mediterranean diet intakes and newborn adiposity. The aim of the study was to evaluate the impact of the individual maternal Mediterranean diet on the in-utero body fat formation and cord leptin level in newborns. Pregnant women with a pre-pregnancy body mass index (BMI) between 30 and 35 kg/m2 (n = 118) were assisted for individual dietary counseling based on the Mediterranean diet healthy eating. According to diet adherence, participants (paired mother and newborn) were divided into an intervention group (n = 57) and a control group (n = 61). We examined the association between diet modification and gestational weight gain, maternal, and cord leptin level together with newborn anthropometry (weight and fat mass %). Results Gestational weight gain, newborn birth weight, fat mass %, and cord leptin level lower in the intervention (12.22 ± 1.8 kg, 3.57 ± 0.35 kg, 9.27 ± 2.16 %, 11.78 ± 3.63 ng/ml, p = 000, respectively) than in control group (18.03 ± 3.25 kg, 4.02 ± 0.32 kg, 11.85 ± 2.30 %, 35.37 ± 11.14 ng/ml, respectively. Umbilical cord leptin levels strongly correlated with neonatal fat mass percent in both groups. However, maternal serum leptin did not correlate with the newborn parameters in the intervention group. Conclusion Maternal energy intake from healthy fat and diet intervention is probably associated with decreased fat mass and leptin levels in neonates.

scholarly journals Focusing on Excessive Gestational Weight Gain through Weight Tracking Among Participants of the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) in Southern California

2017 ◽  
Vol 15 (3) ◽  
pp. 15-24 ◽  
Author(s):  
Maria Koleilat ◽  
Loan P. Kim ◽  
Shannon E. Whaley
Keyword(s):  
Weight Gain ◽  
Gestational Weight Gain ◽  
Intervention Group ◽  
Infants And Children ◽  
Control Group ◽  
Supplemental Nutrition ◽  
Nutrition Program ◽  
Gestational Weight ◽  
Excessive Gestational Weight Gain ◽  
Supplemental Nutrition Program

Background and Purpose: Studies have shown that maternal obesity and excessive gestational weight gain (GWG) lead to adverse health outcomes for the mother and her offspring. Yet, knowledge of the best way to intervene is still lacking. The objective of this study was to develop, pilot and evaluate a sustainable intervention to prevent excessive GWG among participants of the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) in southern California. Methods: We conducted a prospective cohort study where the intervention group received an individual education program that included a GWG tracker. The historical control group was a group of women from the same WIC site who gave birth before the start of the intervention, therefore did not receive the intervention. Chi-square tests and t-tests were used to compare characteristics of the control and intervention groups and the proportions of women exceeding the Institute of Medicine (IOM) recommendations for GWG. Results: The impact of the intervention was strongest for overweight women. 62.5% of the control group gained more than the recommended amount compared to 48.6% in the intervention group. Conclusion: A simple weight tracking intervention could be a cost-neutral way to help WIC participants avoid excessive GWG.

scholarly journals A Promising Food-Coaching Intervention Program to Achieve Optimal Gestational Weight Gain in Overweight and Obese Pregnant Women: Pilot Randomized Controlled Trial of a Smartphone App (Preprint)

2018 ◽  
Author(s):  
Ling-Jun Li ◽  
Izzuddin M Aris ◽  
Wee Meng Han ◽  
Kok Hian Tan
Keyword(s):  
Weight Gain ◽  
Pregnant Women ◽  
Real Time ◽  
Gestational Weight Gain ◽  
Controlled Trial ◽  
Intervention Group ◽  
Smartphone App ◽  
Control Group ◽  
Gestational Weight ◽  
Randomized Controlled

BACKGROUND Traditional dietary recommendations for achieving optimal gestational weight gain are ineffective for pregnant women due to the lack of real-time communication and tedious consultation processes. OBJECTIVE In this pilot study, we aimed to determine the feasibility of a novel food-coaching smartphone app for controlling gestational weight gain and macronutrient intake among overweight and obese pregnant women. METHODS We designed a randomized controlled trial and recruited 30 overweight and obese pregnant women (1:1 ratio) during 18-20 weeks of gestation and followed them up after 4 and 8 weeks, respectively. Both groups received standard pregnancy dietary orientation at recruitment, while the intervention group received 8 weeks of real-time food coaching via a smartphone app. This food-coaching smartphone app (Glycoleap, Holmusk, Singapore) aimed to improve care and outcomes for people with diabetes. Pregnant women using this app were able to upload food images (eg, a picture of a meal, a drink, or a dessert) and received real-time and detailed food-coaching comments and guidance provided by professional dietitians during the day (8 AM to 8 PM). We recorded detailed characteristics during recruitment and examined anthropometry at all visits. We compared the mean differences of the 8-week gestational weight gain and macronutrient intake between the two groups. RESULTS Upon study completion, three subjects dropped out from the intervention, and one gave birth prematurely in the control group. The acceptance rate of the smartphone app was 90%. More participants achieved optimal gestational weight gain per week in the intervention group (8/12, 67%) than in the control group (5/14, 36%). After the 8-week intervention, women in the intervention group appeared to have lower gestational weight gain (mean difference=–0.08 kg; 95% CI –1.80 to 1.63) and cholesterol intake (mean difference=–31.73 mg; 95% CI –102.91 to 39.45) than those in the control group. CONCLUSIONS Our findings showed that this food-coaching smartphone app is feasible and favorable for weight gain control and cholesterol intake control among overweight and obese pregnant women. Although our results were not significant (perhaps, attributed to the small sample size), it provided proof of concept for the feasibility of applying such technology in future randomized controlled trials with a larger sample size, an earlier intervention onset, and a longer follow-up for overweight and obese pregnant women.

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