Maternal Factors Associated with Small-for-Dateness Among Twins

1982 ◽  
Vol 31 (3-4) ◽  
pp. 241-245 ◽  
Author(s):  
Denis Hemon ◽  
Colette Berger ◽  
Philippe Lazar

The maternal risk factors that correlate with small-for-dateness among twins have been analyzed using a sample of 659 twin pairs and a matched sample of singletons. Non-marital status, job involvement, and the previous delivery of a low-birth weight (<2,500g) infant present a negative interaction with twinning, as low gestational age-adjusted birth weight does not correlate significantly with these risk factors among twin gestations, while it does among singleton gestations. On the other hand, the effects of parity, habitual maternal weight, smoking during pregnancy, and twinning are additive on gestational age-adjusted birth weight. Indeed, the decrease in adjusted birth weight associated with these risk factors is of the same magnitude among twins and singletons and is statistically significant in both cases. These findings suggest that exposure of twin pregnancies to these latter risk factors, and particularly to smoking during pregnancy, can lead to the delivery of newborns with extremely low birth weights.

Author(s):  
Anant Pawar ◽  
Durgesh Kumar

Background: Low birth weight (LBW) continues to remain a major public health problem worldwide. There are numerous factors contributing to LBW both maternal and foetal. The maternal risk factors are biologically and socially interrelated. The mortality of low birth weight can be reduced if the maternal risk factors are detected early and managed by simple techniques. This study was conducted to study the maternal risk factors associated with low birth weight. Methods: A retrospective record based case control study was conducted. Retrospective data collection was done using registers from medical record section of Obstetrics and Gynaecology department. After applying exclusion criteria and checking for completeness of records, we selected 60 cases and 124 matched controls. Data was entered in Microsoft excel and analyzed using SPSS version 16. Students ‘t’ test, chi-square test and odds ratio were used to find out the factors associated with low birth weight. Results: In the present study, 60 cases and 124 controls were studied. Mean age of mothers in the case group was 24.4±4.7 yrs. and in the control group was 24.8±4.42 yrs. Mean weight of the cases was 62.5±6.89 kg and of the controls was 65.04±7.16 kg. A total of 35% of the cases and 20% of the controls suffered from pregnancy related diseases. Conclusions: Maternal factors like Socio-economic status, weight, haemoglobin and parity were significantly associated with LBW. Maternal diseases like hypertension, diabetes can result in LBW baby. 


2011 ◽  
Vol 65 (Suppl 1) ◽  
pp. A344-A344
Author(s):  
C. Maliye ◽  
M. Taywade ◽  
S. Gupta ◽  
P. Deshmukh ◽  
B. Garg

1993 ◽  
Vol 60 (2) ◽  
pp. 269-274 ◽  
Author(s):  
Nurul Amin ◽  
R. Abel ◽  
V. Sampathkumar

2021 ◽  
Vol 8 (7) ◽  
pp. 1168
Author(s):  
Gurunathan Gopal

Background: Babies with a birth weight of less than 2500 grams, irrespective of the period of their gestation are termed as low birth weight (LBW) babies. Despite consistent efforts to improve the quality of maternal and child health, more than twenty million LBW babies are born every year throughout the world. The present study was to explore the effects of various maternal risk factors associated with low birth-weight of institutionally delivered newborns. Across the world, neonatal mortality is 20 times more likely for LBW babies compared to normal birth weight (NBW) babies (>2.5 kg).Methods: A cross sectional study was conducted in neonatal intensive care unit (NICU) of ACS Medical College and Hospital, Chennai from December 2019 to October 2020. Altogether 350 babies were taken who were delivered at ACS hospital.Results: The number of times of ANC attendance was also significantly associated with LBW, odds ratio (OR)=1.296, and p=0.001. The number of meals was not associated with LBW OR=0.946, and p=0.831. The gestational age assessed as completed weeks of pregnancy was significantly associated with LBW OR=3.302; p=0.00001.Conclusions: This study suggests that there are several factors interplaying which lead to LBW babies. Socio-demographic factors (maternal age and gestational age) and antenatal care are more important.


2019 ◽  
Vol 6 (5) ◽  
pp. 1845
Author(s):  
Sahana Giliyaru ◽  
Sahaya Nirmala S. ◽  
Adarsh E.

Background: This study was conducted to analyse the immediate outcome of late preterm babies and also to evaluate the various maternal risk factors in these babies so that close monitoring of these babies for the complications is done and immediate problems can be addressed.Methods: Prospective observational study done in level 3 NICU setting for 6 months. All babies born between 34-36/7 weeks are included in the study and they constitute the cases. Term (above 36 weeks 6 days gestation) newborns babies born during the study period are controls. Maternal history is taken in detail. Risk factors during pregnancy including maternal age, gravida, mode of delivery, medical conditions and birth details. Baby details like gestational age, sex, birth weight, and neonatal morbidities are recorded. The babies are either shifted to NICU or to mother’s side based depending on the baby’s condition. All of them are followed up till discharge.Results: 89 late preterm babies born in the hospital during the study period are included in the study. Out of 89 babies 45are females constituting 50.6% and 44are male babies constituting 49.4%. 20 (22.5%) babies had gestational age between 34-35 weeks.29 babies (32.5 %) had gestational age between 35-36 weeks and 40 babies (45%) are between 36-37 weeks of gestation. 47 babies (52.9%) have birth weight between 1.5-2.49 kg.42 babies (47.1%) have birth weight between 2.5-3.5 kg. The number of babies born by LSCS were 48 (54%) and 41 babies 46% are born through vaginal route.42 babies constituting 48.3% are appropriate for gestational age and 43 babies (49.4%) are small for gestationalage.34 (39.1%) babies required NICU admission and 55 (60.9%) babies did not require NICU admission. Among the maternal risk factors PIH was the commonest risk factor in 22babies (24.7 %), followed by PROM13 (14.6 %), oligohydramnios 6 (6.7 %) ,twin gestation 6 (6.7 %), MSAF 3 (3.4%), IDM 3 (3.4%), Antepartum hemorrhage 3 (3.4%), eclampsia 1 (1.1%) and maternal cardiac disease 1.1%. Neonatal morbidities are 25 late preterm babies had jaundice (28.7%) followed by RDS in 15 (17.2%), sepsis in 9 (10.3%), NEC 2 (2.3%), Hypoglycemia 5 (5.6%) late preterm babies required ventilation/ CPAP constituting 5.7%. Surfactant was used in 2 late preterm babies 2.3%. 87 babies (97.8%) got discharged and mortality is 2.2%.Conclusions: Late prematurity is associated with significant neonatal morbidity.


2018 ◽  
Vol 21 (04) ◽  
pp. 745-749
Author(s):  
Sikandar Ali Bhand ◽  
Farzana Sheikh ◽  
Abdul Rehman Siyal ◽  
Muhammad Akber Nizamani ◽  
Muhammad Saeed

… Objective: To determine the presenting features and assessment of the neonateswith hypoglycemia along with maternal and neonatal risk factors for hypoglycemia. Subjects &methods: All consecutive neonates with hypoglycemia admitted were included in the study.Demographic characteristics of the mothers and their babies, past medical history and illnessesduring pregnancy especially that, of diabetes mellitus and duration, details of the management oflabour and place of delivery, birth asphyxia as well as history of feeding prior to admission. All therisk factors and clinical features were documented. Results: From presenting features neonateswere most common temperature instability 32% of the neonates. Maternal risk factors were asMaternal diabetic mellitus, Intrapartum administration of glucose , Maternal drug uses as: (Betablockers, Oral hypoglycemic agents, Valproate), family history of metabolic disorder and withoutany factors with the percentage 13%, 17%, (15%, 08%, 07%) , 27% and 13% respectively.Neonatal risk factors of the patients were found low birth weight 49%, small gestational age 26%,macrosomia 11%, respiratory distress 32%, sepsis 20%, hypothermia 25%, congenital cardiacabnormalities 4%, endocrine disorder 4%, family history of metabolic disorder 7%, inborn errorsof metabolism 4%, rhesus hemolytic disease 5%, erythroblastosis fetalis 1%, inadequate feeding35% and neonates without factors were 6%. Conclusions: The risk factors associate withneonatal hypoglycemia are, low birth weight, small gestational age, macrodome, respiratorydistress, sepsis, hypothermia and inadequate feeding , and maternal risk factors associate toneonatal hypoglycemia was Eclampsia, Maternal diabetic mellitus, and maternal drug uses


2018 ◽  
Vol 11 (1) ◽  
pp. 376-383 ◽  
Author(s):  
Issara Siramaneerat ◽  
Farid Agushybana ◽  
Yaowaluck Meebunmak

Background: Low birth weight (LBW) is a major risk factor for death and disease in the fetus and newborn infant. However, the study about LBW and maternal risk factors involved in Indonesia is still limited. Objective: The present study attempted to examine the association of maternal risk factors including mother’s age, mother and husband education, mother and husband occupation and wealth, ANC visit, desired pregnancy and obstetric complication toward the occurrence of low birth weight infant across region and family wealthy. Methods: This study employed the data from the national survey of Indonesia Demographic and Health Survey (IDHS). The latest births from married women who gave birth within 2 years (2011 and 2012) preceding the IDHS were considered as sample selection. It was approximately 15,126 respondents. The predicted risks of low birth weight were estimated using multilevel logistic analysis. Results: Data were collected on 15,126 pregnant women who reported 10.2% were with LBW infants. When using the multilevel logistic analysis, the factors associated with LBW were maternal delivery-baby age, mother’s education, antenatal care and pregnancy complication at significant levels of 0.01. Conclusion: The prevalence of preterm infants in this study was quite high. Factors affecting LBW were maternal age, maternal education, ANC visits and pregnancy complication. The ANC visit of pregnant women is a potential and feasible activity to reduce the incidence of LBW.


2018 ◽  
Vol 5 (3) ◽  
pp. 726
Author(s):  
Ravi Garg ◽  
Rupesh Masand ◽  
Chaman Ram Verma ◽  
Girdhari Lal Sharma ◽  
Suman Ankit Yadav

Background: Meconium aspiration syndrome (MAS) is commonly encountered entity in neonates delivered in rural health centres.Methods: A prospective observational study was conducted in 50 consecutive cases of MAS who were admitted in Level III NICU of the Department of Pediatrics of a tertiary care teaching hospital located 50 kms from Jaipur city amidst rural surroundings from 1st January 2016 to 31st July 2017. Appropriate statistical analysis was carried out using Medcalc statistical software (version 16.4).Results: Out of 3585 deliveries, prevalence of MSAF and MAS was 14% and 8.5% respectively. The M:F ratio of study subjects was 1.2:1.The maternal risk factors significantly associated with MAS were maternal anemia (p value-<0.001), maternal age >30 (p value-0.025) and unbooked pregnancies (p value-0.032). The mean birth weight was 2734±499gms. Majority of cases of MAS were seen in babies with birth weight between 2.5-3.5 kg (n=30, 60%).The mean gestational age was 38.6±2.4 weeks. 30 (60%) babies were delivered after completing 37-<40 weeks of gestation and 9 (18%) babies were of 40-<42 weeks of gestation. The common complications observed were exaggerated physiological hyperbilirubinemia (75%), birth asphyxia (50%) and septicaemia (27.08%). The commonest cause of mortality was birth asphyxia (57.14%) and pneumonia (42.8%).Conclusions: MAS is a cause of concern for the attending obstetrician and pediatrician as it is associated with life threatening complications and mortality. Efforts need to be invested in promotion of institutional antenatal care and institutional deliveries so that maternal risk factors can be identified and managed effectively, especially in rural areas.


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