Combining early (<11 weeks’ gestation) ultrasound features and maternal factors to predict small‐for‐gestational age neonates

Abstract Since fetal programming is sex-specific, there may also be sex-specific in parental influences on newborn birth weight. We aimed to investigate the influence of parental factors on small-for-gestational-age (SGA) infants of different sexes. Based on a pre-pregnancy cohort, multivariate logistic regression was used. 2275 couples were included for analysis. Significant associations were observed among paternal height, pre-pregnancy body mass index (BMI), and SGA in male infants; among maternal height, pre-pregnancy BMI, and SGA in female infants, and among other maternal factors and SGA in both male and female infants. Such sex specificity may be related to genetic, epigenetic, or hormonal influences between parents and infants. In conclusion, there is a sex specificity in the effect of parental height and pre-pregnancy BMI on SGA. The data suggest that future studies on infants should consider the sex-specific differences between the effects of genetic or environmental factors and infants.

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Incidence and Risk Factors of Low Birth Weight Among Babies Delivered at Tertiary Level Teaching Hospital in Nepal

Medical Journal of Shree Birendra Hospital ◽

10.3126/mjsbh.v18i2.22202 ◽

2019 ◽

Vol 18 (2) ◽

pp. 29-35

Author(s):

Pawana Kayastha ◽

Sunil Raja Manandhar

Keyword(s):

Risk Factors ◽

Birth Weight ◽

Low Birth Weight ◽

Gestational Age ◽

Small For Gestational Age ◽

Tertiary Level ◽

Maternal Factors ◽

Maternal Risk ◽

Low Birth Weight Babies

Introduction: Low birth weight is directly related to both immediate and long term development and wellbeing of a person. There are numerous maternal and foetal factors contributing to low birth weight. The mortality and morbidity of low birth weight can be reduced if the maternal risk factors are detected early and managed by simple techniques. Methods: 207 low birth weight live newborn babies regardless of gestational age born in a tertiary level teaching institute from September 2015 to September 2016 were enrolled as cases and same number of normal birth weight babies (i.e. 2.5 to 4 kgs) as control. Information was obtained directly from mothers using pretested structured questionnaire and was analysed using SPSS version 20. Results: The incidence of low birth weight was found to be 9.8%. Mean weight of low birth weight babies was 1.98 kg and mean gestational age was 37.34 weeks. Among low birth weight babies, 47.8% were preterm and 52.2% were term. Out of 119 small for gestational age babies, the frequency of symmetrical small for gestational age was 45.3% and asymmetrical small for gestational age was 54.6%. There was significant association of low birth weight with multiple maternal factors like maternal age, education, weight, height, weight gain during pregnancy, ANC visits, parity, antepartum haemorrhage, previous abortion/low birth weight, birth spacing, tobacco/alcohol intake and haemoglobin. Conclusions: Prevalence of low birth weight is likely to be far higher than figure in isolated rural settings of our country. Contribution of SGA is higher than Appropriate for Gestational Age which brings us to a larger burden of long term morbidity and mortality. Various maternal factors are responsible for birth of low birth weight babies.

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Prediction of small for gestational age neonates: screening by maternal factors, fetal biometry, and biomarkers at 35–37 weeks’ gestation

American Journal of Obstetrics and Gynecology ◽

10.1016/j.ajog.2019.01.227 ◽

2019 ◽

Vol 220 (5) ◽

pp. 486.e1-486.e11 ◽

Cited By ~ 26

Author(s):

Anca Ciobanu ◽

Angeliki Rouvali ◽

Argyro Syngelaki ◽

Ranjit Akolekar ◽

Kypros H. Nicolaides

Keyword(s):

Gestational Age ◽

Small For Gestational Age ◽

Maternal Factors ◽

Fetal Biometry

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Prediction of small‐for‐gestational‐age neonates at 35–37 weeks' gestation: contribution of maternal factors and growth velocity between 20 and 36 weeks

Ultrasound in Obstetrics and Gynecology ◽

10.1002/uog.20243 ◽

2019 ◽

Vol 53 (4) ◽

pp. 488-495 ◽

Cited By ~ 7

Author(s):

A. Ciobanu ◽

C. Formuso ◽

A. Syngelaki ◽

R. Akolekar ◽

K. H. Nicolaides

Keyword(s):

Gestational Age ◽

Small For Gestational Age ◽

Growth Velocity ◽

Maternal Factors

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The relative contributions of different maternal factors in small-for-gestational-age pregnancies

European Journal of Obstetrics & Gynecology and Reproductive Biology ◽

10.1016/0028-2243(81)90071-x ◽

1981 ◽

Vol 12 (3) ◽

pp. 157-165 ◽

Cited By ~ 67

Author(s):

A. Scott ◽

V. Moar ◽

M. Ounsted

Keyword(s):

Gestational Age ◽

Small For Gestational Age ◽

Maternal Factors

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Maternal factors in the aetiology of small-for-gestational age among term Nigerian babies

Nigerian Journal of Paediatrics ◽

10.4314/njp.v40i2.3 ◽

2013 ◽

Vol 40 (2) ◽

pp. 119-124

Author(s):

RO Oluwafemi ◽

OF Njokanma ◽

EA Disu ◽

TA Ogunlesi

Keyword(s):

Birth Weight ◽

Gestational Age ◽

Small For Gestational Age ◽

Maternal Age ◽

Maternal Factors ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Economic Class ◽

Medical Disorders ◽

The Mean

Background: Babies are classified according to the relationship between birth weight and gestational age, the latter being the strongest determinant of birth weight. Small-for-gestational age (SGA) babies have birth weights less than the 10th percentile for age and sex or more than two standard deviations below the mean for age and sex.Objective: The study was carried out to investigate the maternal factorsassociated with the delivery of term small-for-gestational age babiesin a Nigerian Hospital.Methods: In the cross-sectional survey, the anthropometric parametersof term singleton infants were related to maternal age, parity, socio-economic class, anthropometry and medical disorders in pregnancy.Results: A total of 825 babies were surveyed within the first 24 hoursof life. The mean birth weight of babies was 3233 ± 539g. The males had significantly longer mean crown-heel length and mean occipitofrontal circumference compared to females p = 0.048 and p < 0.000 respectively). The prevalence of infants with small-for-gestational age was 7.2% (5.7% and 8.8% among males and females respectively). The proportion of mothers who did not encounter significant illness in pregnancy was lowestamong those who had SGA babies, followed by mothers of LGA babiesand those of AGA babies in that order. With respect to maternal age,weight, height and body mass index (except inter-pregnancy interval),mothers of SGA babies had significantly lower values compared tomothers of the AGA and LGA babies (p < 0.03).Conclusion: This study identified age, parity, anthropometry and hypertension-related disorders as major maternal factors associated withthe birth of SGA babies in Nigeria.Keywords: Anthropometry, Intrauterine growth restriction, maternal illness, Nigeria.

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