Background: The aim of the study was to determine the association between total gestational weight gain (TGWG) and maternal and perinatal outcomes based on the Institute of Medicine 2009 gestational weight gain (GWG) guidelines among pregnant patients of the department of obstetrics and gynecology in a tertiary hospital Methodology: Our analysis was carried out in a private hospital in Metro Manila, specifically in a tertiary hospital, in a prospective cohort study that included 565 pregnant women from June 1, 2020, to April 30, 2021. Body mass index (BMI) at initial prenatal visit <14 weeks’ age of gestation and upon admission, birth weight, comorbidities were all assessed and recorded. Our main outcome measures were TGWG, perinatal outcomes (small for gestational age, large for gestational age, intrauterine fetal demise, and admission to neonatal intensive care unit), and maternal outcomes (gestational diabetes mellitus, gestational hypertension, preeclampsia/eclampsia, and preterm birth). The baseline anthropometric, maternal and neonatal outcomes were analyzed using mean, standard deviation, range and chi‑square test was used to correlate total gestational weight gain against maternal and perinatal outcomes and a P‑value less than 0.05 was statistically significant Results: In this study, the mean BMI was 23.6 kg/m2, and based on BMI classification, 8% were underweight, whereas 28.1% and 9% were overweight and obese, respectively. Based on the recommendations of TGWG on each BMI category, using Chi‑square test, there was a significant association of having excess GWG and inadequate GWG against maternal and perinatal outcomes Conclusion Based on the study, women having excess or inadequate TGWG has effects on maternal and perinatal outcomes. Furthermore, women that are classified as overweight and obese in the first trimester have a higher risk of developing comorbidities
Gestational Weight Gain ; Obesity

OBJECTIVE: To investigate the influence of pre-pregnancy parental body mass index (BMI), maternal weight gain during pregnancy, and their interaction on neonatal birth weight. METHODS: A total of 1 127 pregnant women who underwent regular prenatal examinations and full-term singleton delivery in the First Hospital of Xi'an Jiaotong University from January 2017 to October 2018 were enrolled. The data on their pre-pregnancy BMI, maternal weight gain during pregnancy, pre-pregnancy BMI of the husband, and neonatal birth weight were collected. The interaction between pre-pregnancy parental BMI and maternal weight gain during pregnancy was analyzed, and their correlation with neonatal birth weight was analyzed. RESULTS: Among the 1 127 full-term neonates, the detection rates of low birth weight neonates and macrosomia were 2.22% (25/1 127) and 3.82% (43/1 127) respectively. There were significant differences in pre-pregnancy parental BMI and maternal weight gain during pregnancy among the low birth weight, normal birth weight, and macrosomia groups (P<0.05). Neonatal birth weight was positively correlated with pre-pregnancy parental BMI and maternal weight gain during pregnancy (r=0.097-0.322, P<0.05). Low maternal weight before pregnancy increased the risk of low birth weight (RR=4.17, 95%CI: 1.86-9.38), and maternal overweight/obesity before pregnancy (RR=3.59, 95%CI: 1.93-6.67) and excessive weight gain during pregnancy (RR=3.21, 95%CI: 1.39-7.37) increased the risk of macrosomia. No interaction between pre-pregnancy maternal BMI and maternal weight gain during pregnancy was observed. CONCLUSIONS Pre-pregnancy parental BMI and maternal weight gain during pregnancy are related to neonatal birth weight, and there is no interaction between pre-pregnancy maternal BMI and maternal weight gain during pregnancy.
Birth Weight ; Body Mass Index ; Female ; Gestational Weight Gain ; Humans ; Infant, Newborn ; Pregnancy ; Pregnancy Complications ; Risk Factors ; Weight Gain

40 premature(some low birth weight) infants were included for this study consisting 20 infants of SIMILAC (Ready to fed) formula fed group and 20 infants of Local product formula fed group.1) Average gestational age of SIMILAC fed group was 33.65 weeks and that of Local product formula fed group was 34.45 weeks.2) Average birth weight of SIMILAC fed group was 1774.5gm and that of Local product formula fed group was 1813gm. 3) Daly total Kcal given to the SIMILAC group was 129.2 Kcal/kg and that of Local product group was 180 Kcal/kg. 4) No weight gain was seen with 120 Kcal-145kcal/kg of Local product formula feeding during initial study period. 5) Total fluid supplied for both group were equal and that were 190ml/kg/day in each group. 6) Average number of defecation per day was 3.4 times in SIMILAC group and 2.8times in Local product group. Mild tendency to loose stool was seen at 2 babies in SIMILAC group and at 4 babies in Local product group. Mild tendency to constipation was also seen at one baby in SIMILAC group and 3 babies in Local product group. 7) Average daily weight gaining in SIMILAC group was 25gm and that of Local product group was 27.9gm.
Birth Weight ; Constipation ; Defecation ; Gestational Age ; Humans ; Infant ; Infant, Newborn ; Infant, Premature* ; Parturition ; Weight Gain

OBJECTIVE: Birth weight of the newborns is the major factor affecting maternal, childhood mortality and morbidity. The purpose of this study was to identify the effects of maternal weight gain and Body Mass Index (BMI) gain by trimester of pregnancy on birth weight of newborns. METHODS: The data of 73 women who delivered at our institute from March 2004 to June 2004 were analyzed. Maternal weight gain and BMI gain during pregnancy was calculated. Statistical analysis was done. RESULTS: The standardized woman in 1.6 m height had total 12.5 kg weight gain during pregnancy. The BMI was calculated. Women with total BMI gain over 4.88 were grouped in over BMI group. The BMI gain by trimester and gestational age of pregnancy were analyzed. Maternal BMI gain in the 3rd trimester of pregnancy influences more strongly newborns' weight than does in the 1st or 2nd trimester. CONCLUSION: We considered that maternal BMI gain during each trimester of pregnancy was a marker of newborns' weight gain.
Birth Weight* ; Body Mass Index ; Female ; Gestational Age ; Humans ; Infant, Newborn ; Mortality ; Parturition* ; Pregnancy ; Weight Gain*

Adult ; Birth Weight ; Body Mass Index ; Female ; Gestational Weight Gain ; physiology ; Humans ; Labor, Obstetric ; physiology ; Pregnancy

OBJECTIVE: To investigate the association between serum high sensitivity C-reaction protein (hsCRP) in early pregnancy and gestational diabetes mellitus (GDM) among twin pregnant women, and to explore the effects of the pre-pregnant body mass index (BMI) and gestational weight gain (GWG) status on such association. METHODS: Twin pregnant women with pre-pregnant BMI greater than or equal to 18.5 kg/m² were recruited at Department of Obstetrics and Gynecology of Peking University Third Hospital from March 2017 to December 2020. Serum samples collected in early pregnancy were analyzed for hsCRP using particle-enhanced immunoturbidimetric method. In the following visits, the information about GWG and GDM were prospectively collected in every trimester. The association effect between hsCRP tertiles and GDM were estimated using Logistic regression, and further converted into risk ratio (RR). Cochran-Mantel-Haenszel test and mediation analysis were used to explore the effects of BMI and GWG status on the association. RESULTS: Among the included 570 twin pregnant women, 31.6% deve-loped GDM, 26.1% were pre-pregnant overweight or obesity, and 49.5% with GWG out of referenced range. After adjustment for confounding factors, risk of developing GDM in twin gestations with the middle tertile and highest tertile of serum hsCRP in early pregnancy were 1.42 fold (95%CI: 1.02-1.89) and 1.54 fold (95%CI: 1.12-2.02), respectively, compared with the lowest tertile of serum hsCRP, and there existed significantly linear trend (P=0.022). Findings from mediation analysis illustrated that pre-pregnant BMI had partial mediating effect on the association, and BMI accounted for 23.84% (P < 0.001) of the increasing GDM risks with elevated hsCRP. Joint analysis with hsCRP and GWG found that those who were with GWG out of referenced range accompanied with the higher hsCRP tertiles (>1.21 mg/L) had significantly 2.31 fold increased risk according to those who were with GWG in the referenced range accompanied with the lowest hsCRP tertile (≤1.21 mg/L, P < 0.01). CONCLUSION Elevated hsCRP in early pregnancy significantly increased GDM risk among twin pregnant women. The hsCRP-GDM association was dependent on GWG status, and pre-pregnant BMI had partial mediating effect on such association. It is suggested that twin pregnant women should consider systemic inflammation and gestational weight at the same time to reduce GDM risk.
Body Mass Index ; C-Reactive Protein/metabolism* ; Cohort Studies ; Diabetes, Gestational/blood* ; Female ; Gestational Weight Gain ; Humans ; Pregnancy ; Pregnancy, Twin/blood* ; Weight Gain

Objective: To explore the effects of both pre-gestational BMI and gestational weight gain (GWG) on the birth weight of neonates. Methods: A total of 5 395 pregnant women were selected from the Southwest areas of China (Sichuan/Yunnan/Guizhou) and were divided into groups as pre-gestational underweight, normal weight, overweight and obesity, according to the WHO Recommendation on BMI Classification. Guidelines on Pregnancy weight were adopted from the Institute of Medicine to confirm the accuracy of GWG. Multinomial logistic regression model was used to assess the associations between pregestational BMI and GWG, on the birth weight of the neonates. Results: After adjusting for related confounders, low pre-gestational BMI appeared as a risk factor for SGA (OR=1.91, 95%CI: 1.47-2.50), and was also associated with the decreased risk of LGA (OR=0.55, 95%CI: 0.47-0.66). Inadequate GWG was both associated with the increased risk of delivering SGA (OR=1.57, 95%CI: 1.21-2.03) and the decreased risk of LGA (OR=0.48, 95%CI: 0.41-0.57). Pre-gestational overweight/obesity (OR=1.85, 95%CI: 1.58-2.17) and excessive GWG (OR=1.87, 95%CI: 1.67- 2.11) were both positively associated with the risks on LGA. Data from the stratified analysis indicated that inadequate GWG was positively associated with the risk of SGA among underweight or normal weight women (all P<0.05), but not with those overweight/obese women. Conclusions: Pre-gestational BMI and GWG were important influencing factors on the birth weight of neonates. Health education programs for pregnant women should be intensified and gestational weight gain should also be reasonably under control.
Adult ; Birth Weight ; Body Mass Index ; China ; Female ; Gestational Weight Gain ; Humans ; Infant, Newborn ; Obesity ; Overweight ; Pregnancy ; Pregnancy Outcome ; Prospective Studies ; Weight Gain

PURPOSE: The purpose of this study was to examine the exercise patterns and the factors affecting exercise duration in pregnant women. METHODS: The survey was conducted to assess walking and exercise duration in 146 pregnant participants, who live in Gyeongsang area. Data was analyzed with descriptive statistics, t-test, ANOVA and regression using the SPSS Win 23.0 program. RESULTS: The average age of the participants was 31 years, and more than 87% of them were primigravida. The differences in the mean walking duration, the daily exercise duration, and the exercise days of participants before and during pregnancy were not statistically significant, but the exercise duration during pregnancy was decreased compared to that before pregnancy. The factors affecting weekly exercise duration were diagnosis of gestational diabetes mellitus, concern about weight gain during pregnancy, and monthly income. CONCLUSION: The results of this study show that development of an educational program to teach proper exercise practices during pregnancy is recommended.
Diabetes, Gestational ; Diagnosis ; Female ; Humans ; Pregnancy ; Pregnant Women* ; Walking ; Weight Gain

To investigate the current status of the postpartum weight retention (PPWR) in Kaifu District of Changsha, and explore the influential factors with PPWR based on the generalized estimating equation model.
 Methods: A cluster sampling method was applied to select women who gave birth at the health service centers of 3 street communities in Kaifu District of Changsha during 2015. According to the inclusion and exclusion criteria, 783 cases were finally included in the study. Data on PPWR were collected prospectively by using the self-made questionnaire at 1, 3, 6 and 8 months after childbirth. Analysis were performed to investigate the associations between PPWR and its potential factors with generalized estimation equation model.
 Results: The mean PPWR of women was gradually decreased with the increase of postpartum time, and 34.6% of them have returned to the pre-pregnancy weight in the 8 months postpartum. Our findings revealed that gestation weight gain (GWG), pre-pregnancy body mass index, feeding patterns, and delivery mode were significantly associated with maternal PPWR (P<0.05). In contrast, maternal age, educational level, per capita income of family, parity and postpartum depression were not contributed to PPWR (P>0.05).
 Conclusion: GWG is one of the most important predictors for PPWR. The key to reducing PPWR is to control GWG systematically. Early targeted interventions and health education should be taken to prevent women from excessive PPWR at the first-year postpartum, in particular to the women who underwent cesarean deliveries and breastfed their infants. It is conducive to reduce the risks of overweight or obesity caused by PPWR.
Body Mass Index ; Female ; Gestational Weight Gain ; Humans ; Obesity ; Overweight ; Postpartum Period ; Pregnancy

BACKGROUNDGestational diabetes mellitus (GDM) is a common complication during pregnancy, and gestational weight gain is one of the major and modifiable risk factors. This study aims to estimate the relationship between the rate of gestational weight gain before diagnosis of GDM and the subsequent risk of GDM.

METHODSA case-control study was conducted with 90 GDM cases and 165 women in the control group from May 2012 to August 2012 at Peking University First Affiliated Hospital. GDM was diagnosed according to the standards issued by the Ministry of Health of China in 2011. The plasma glucose levels, weights, and covariate data of the women were obtained based on medical records. Univariate analysis and unconditional Logistic regression model were used to estimate the associations.

RESULTSAfter adjusting for age at delivery, parity, and pre-pregnancy body mass index, the risk of GDM increased with increasing rates of gestational weight gain. Compared with the lower rate of gestational weight gain (less than 0.28 kg per week), a rate of weight gain of 0.28 kg per week or more was associated with increased risk of GDM (odds ratio: 2.03; 95% confidence interval: 1.15 to 3.59). The association between the rate of gestational weight gain and GDM was primarily attributed to the increased weight gain in the first trimester.

CONCLUSIONHigh rates of gestational weight gain, particular during early pregnancy, may increase a woman's risk of GDM.

Adult ; Case-Control Studies ; Diabetes, Gestational ; epidemiology ; etiology ; Female ; Humans ; Pregnancy ; Weight Gain ; physiology