scholarly journals Effect of maternal age and gestational weight gain on anthropometry of the newborn in semi urban area of Chhattisgarh, India

2019 ◽  
Vol 6 (6) ◽  
pp. 2374 ◽  
Author(s):  
Naresh P. Motwani ◽  
Ankit Jain ◽  
Sudhakar C.
Keyword(s):  
Weight Gain ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Urban Area ◽  
Gestational Weight Gain ◽  
Maternal Age ◽  
Young Age ◽  
Care Hospital ◽  
Gestational Weight ◽  
Low Birth Weight Babies

Background: Maternal undernutrition is a known to be a major factor contributing to adverse pregnancy outcomes. Gestational weight gain and young maternal age at childbearing years is associated with an increased risk low birth weight babies and infant mortality.Methods: Prospective observational study carried out in the post-natal ward of a tertiary care hospital (CM hospital) in a semi-urban area over a period of 1 year in between March 2018 and March 2019. Total 150 mothers who satisfied the inclusion criteria were enrolled. Age of the mothers was noted and were divided into 5 groups. Last known pre-pregnancy weight was recorded on re-call basis, recorded data on first visit during first month of pregnancy and again they were weighed in the third trimester at the time of admission using standard electronic weight machine. Data collected were entered in Microsoft Excel Work sheet 2018 which was imported to SPSS (version16) for data analysis. Quantitative data has been analysed by Mean, Standard deviation, T test and Karl Pearson correlation.Results: Mean birth weight among young age  mother (<20 years) was 2068 g (95%CI,±223.99) which was significantly lower than mean birth weight of 20-30 year old mother (271.19 g±95%CI, 437.02) and >30 year old mother (2932.78, 95%CI±429.99). With increase in gestational weight gain there was a corresponding increase in mean birth weight and this increase was statistically significant (r=0.435, p=<0.001).Conclusions: Maternal age and gestational weight gain had significant impact on new-born anthropometry. Young age (<20yrs) and decreased gestational weight gain is associated with increased number of low birth weight babies.

scholarly journals Stratified analysis of the correlation between gestational weight gain and birth weight for gestational age: a retrospective single-center cohort study in Japan

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Noriko SATO ◽  
Naoyuki MIYASAKA
Keyword(s):  
Weight Gain ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Gestational Weight Gain ◽  
Gestational Age ◽  
Cohort Analysis ◽  
University Hospital ◽  
Gestational Weight ◽  
Tokyo Medical ◽  
Newborn Size

Abstract Background Japan has an exceptionally high proportion of low-weight births and underweight women. It has been suggested that an appropriate increase in gestational weight gain (GWG) for underweight women will help to prevent low birth weight. The current strategy aims to raise the desired value of GWG equally for all pregnant women within the underweight category. However, it remains elusive whether or not the relationship between GWG and birth weight for gestational age (BW/GA) are uniformly equivalent for all the women. Methods We performed a retrospective cohort analysis of women who delivered their newborns at Tokyo Medical and Dental University Hospital from 2013 to 2017. First, in order to examine the direct effect of an increase or decrease in GWG on BW/GA, we analyzed the correlation between inter-pregnancy differences in GWG and BW/GA using a sub-cohort of women who experienced two deliveries during the study period (n = 75). Second, we dichotomized the main cohort (n = 1114) according to BW/GA to verify our hypothesis that the correlation between GWG and BW/GA differs depending on the size of the newborn. Results The inter-pregnancy difference in BW/GA was not correlated with that of GWG. However, the correlation between BW/GA of siblings was high (r = 0.63, p = 1.9 × 10− 9). The correlation between GWG and BW/GA in women who delivered larger-sized newborns was higher (r = 0.17, p = 4.1 × 10− 5) than that in women who delivered smaller-sized newborns (r = 0.099, p = 1.9 × 10− 2). This disparity did not change after adjustment for pre-pregnancy BMI. The mean birth weight in the dichotomized groups corresponded to percentile 52.0 and 13.4 of the international newborn size assessed by INTERGROWTH-21st standards. Conclusions In our study, GWG was positively correlated with BW/GA for heavier neonates whose birth weights were similar to the average neonatal weight according to world standards. However, caution might be required for low-birth-weight neonates because increased GWG does not always result in increased birth weight.

scholarly journals Asupan zat gizi makro dan kenaikan berat badan selama hamil terhadap luaran kehamilan

2018 ◽  
Vol 15 (2) ◽  
pp. 66
Author(s):  
Imelda Fitri ◽  
Rizki Natia Wiji
Keyword(s):  
Weight Gain ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Gestational Weight Gain ◽  
Control Group ◽  
Case Group ◽  
Chi Square ◽  
Gestational Weight ◽  
Low Weight ◽  
Chi Square Test

Background: Based on neonatal nursing installation data at Arifin Achmad Regional Hospital in Riau Province, newborns with low birth weight have always been the highest cases.Objective: This study aimed to examine the effect of macronutrient status (carbohydrate, protein, fat) and gestational weight gain on pregnancy outcomes.Method: The design used in this study was case-control. The study sample was 74 respondents, the case group was 37 mothers with babies born with low birth weight and the control group was 37 mothers with babies born with normal birth weight. Macronutrient intake was collected with a food frequency questionnaire (FFQ). Data were analyzed by using the Chi-Square test (p<0,05).Results: Intake of low carbohydrate has 3 times risk for low birth weight (OR=3.46; 95%CI:1.25-9.47), intake of low fat has 5 times risk for low birth weight (OR=5.11; 95%CI:1.88-13.93), and intake of low protein has a 12 times risk for low birth weight (OR=12.21; 95%CI:3,97-37,94). A gestational weight gain is not following the IOM recommendations increased the risk of giving birth to a low weight baby (OR=3,96; 95%CI:1,49-10,53).Conclusion: Pregnant women with a low intake of carbohydrates, proteins, fats, and weight gain are not following the recommended increased the risk of giving birth to a low weight baby.

scholarly journals A study to assess clinico-epidemiological profile and outcome of low birth weight babies admitted to neonatal intensive care unit of a tertiary care hospital

2021 ◽  
Vol 8 (6) ◽  
pp. 1064
Author(s):  
Anuradha Sanadhya ◽  
Mohammad Asif ◽  
Priyanka Meena ◽  
Juhi M. Mehrotra
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Maternal Age ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Care Hospital ◽  
Maternal Weight ◽  
Medical College ◽  
Low Birth Weight Babies ◽  
Epidemiological Profile

Background: Low birth weight (LBW) contributes substantially to neonatal, infant and childhood morbidity as well as mortality. Across the world neonatal mortality is 20 times more likely for low birth weight babies compared to heavier babies (>2.5 kg). Proportion of LBW babies at birth in Rajasthan is 14%. The present study is proposed to explore the determinants of LBW in babies admitted at tertiary care hospital. The objective of the study was to study the clinic-epidemiological profile and outcome of LBW neonates; to study various factors associated with LBW.Methods: This study was a hospital based descriptive cross-sectional study, carried out at NICU of MBGH, R.N.T Medical College, Udaipur, Rajasthan. The study population comprised of all LBW babies delivered in medical college attached hospital and admitted in NICU, for duration of one year from September 2019 to august 2020. Total 350 babies were enrolled in study as per calculated sample size.Results: LBW was found to be associated with low maternal age, low level of mother education, maternal anemia, less BMI, stature of mothers, number of ANC visits, poor maternal weight gain during pregnancy, per-capita income, etc. Most common cause of mortality was found in LBW was septicemia and of morbidity was RDS.Conclusions: The identified risk factors in our study were modifiable and many were preventable. Maternal age, education of mothers, nutrition of mothers, anaemia status, number of ANC visits by mothers are preventable causes. Demographic profile, socio-economic status; many medical and obstetric factors are modifiable.

scholarly journals Maternal Obesity and Risk of Low Birth Weight, Fetal Growth Restriction, and Macrosomia: Multiple Analyses

Nutrients ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 1213
Author(s):  
Małgorzata Lewandowska
Keyword(s):  
Weight Gain ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Gestational Weight Gain ◽  
Fetal Growth ◽  
Fetal Growth Restriction ◽  
Growth Restriction ◽  
Risk Profiles ◽  
Gestational Weight ◽  
Newborn Outcomes

The associations between maternal pre-pregnancy obesity and low birth weight (LBW, <2500 g) remain inconclusive. Therefore, birth weight in a Polish prospective cohort of 912 mothers was investigated depending on the pre-pregnancy body mass index (BMI). The whole cohort and the subgroup of gestational weight gain (GWG) in the range of the Institute of Medicine (IOM) recommendations, as well as ‘healthy’ women (who did not develop diabetes or hypertension in this pregnancy) were investigated. Adjusted odds ratios (AOR) of the newborn outcomes (with 95% confidence intervals, CI) for obesity (BMI ≥ 30 kg/m2) vs. normal BMI (18.5−24.9 kg/m2) were calculated using multiple logistic regression. Risk profiles (in the Lowess method) were presented for BMI values (kg/m2) and threshold BMI values were calculated. (1) In the cohort, LBW affected 6.6% of pregnancies, fetal growth restriction (FGR) 2.3%, and macrosomia 10.6%. (2) The adjusted risk of macrosomia was more than three-fold higher for obesity compared to normal BMI in the whole cohort (AOR = 3.21 (1.69−6.1), p < 0.001) and the result was maintained in the subgroups. A 17-fold higher adjusted LBW risk for obesity was found (AOR = 17.42 (1.5−202.6), p = 0.022), but only in the normal GWG subgroup. The FGR risk profile was U-shaped: in the entire cohort, the risk was more than three times higher for obesity (AOR = 3.12 (1.02−9.54), p = 0.045) and underweight (AOR = 3.84 (1.13−13.0), p = 0.031). (3) The risk profiles showed that the highest BMI values were found to be associated with a higher risk of these three newborn outcomes and the threshold BMI was 23.7 kg/m2 for macrosomia, 26.2 kg/m2 for LBW, and 31.8 kg/m2 for FGR. These results confirm the multidirectional effects of obesity on fetal growth (low birth weight, fetal growth restriction, and macrosomia). The results for LBW were heavily masked by the effects of abnormal gestational weight gain.

scholarly journals Maternal sleep duration and neonatal birth weight: the Japan Environment and Children’s Study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tsuyoshi Murata ◽  
◽  
Hyo Kyozuka ◽  
Toma Fukuda ◽  
Shun Yasuda ◽  
...  
Keyword(s):  
Weight Gain ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Sleep Duration ◽  
Gestational Weight Gain ◽  
Gestational Age ◽  
Small For Gestational Age ◽  
Low Birth Weight Infants ◽  
Gestational Weight ◽  
Maternal Sleep

Abstract Background The adequate maternal sleep duration required for favorable obstetric outcomes is unknown. We evaluated the association between maternal sleep duration and low birth weight infants, small for gestational age infants, and macrosomia. Methods Participants enrolled in the Japan Environment and Children’s Study, a nationwide birth cohort study, with singleton pregnancies after 22 weeks, who gave birth between 2011 and 2014 were enrolled and categorized into five groups according to maternal sleep duration during pregnancy: < 6.0 h, 6.0–7.9 h, 8.0–8.9 h, 9.0–9.9 h, and 10.0–12.0 h. We evaluated the association between maternal sleep duration and the incidence of low birth weight infants (< 2500 g), very low birth weight infants (< 1500 g), small for gestational age infants, and macrosomia (> 4000 g), with women with maternal sleep duration of 6.0–7.9 h as the reference, using a multiple logistic regression model. Results In total, 82,171 participants were analyzed. The adjusted odds ratios (95% confidence intervals) for low birth weight infants in women with maternal sleep duration of 9.0–9.9 h and 10.0–12.0 h and for small for gestational age infants in women with maternal sleep duration of 9.0–9.9 h were 0.90 (0.83–0.99), 0.86 (0.76–0.99), and 0.91 (0.82–0.99), respectively, before adjusting for excessive gestational weight gain. No significant association was observed between maternal sleep duration and these outcomes after adjusting for excessive gestational weight gain. Among women with appropriate gestational weight gain, the adjusted odds ratios (95% confidence intervals) for low birth weight infants and for small for gestational age infants with sleep duration of 9.0–9.9 h were 0.88 (0.80–0.97) and 0.87 (0.78–0.97), respectively. Conclusions Maternal sleep duration of 9.0–9.9 h was significantly associated with the decreased incidence of low birth weight infants and small for gestational age infants in pregnant women with appropriate gestational weight gain, compared with that of 6.0–7.9 h. Care providers should provide proper counseling regarding the association between maternal sleep duration and neonatal birth weight and suggest comprehensive maternal lifestyle modifications to prevent low birth weight and small for gestational age infants.

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