Literature DB >> 8191127

[Risk factors for low birth weight and intrauterine growth retardation in Santiago, Chile].

J Vega1, G Sáez, M Smith, M Agurto, N M Morris.   

Abstract

An epidemiologic case-control study to ascertain the determinants of low birthweight was carried out in Santiago, Chile, from January to December 1989. The cases were defined as livebirths < 2500 g. The controls were livebirths > or = 2500 g of birthweight. All cases and a random sample (1:1) of controls were selected among 8,254 singleton births occurring at the El Salvador Hospital in the Eastern area of Santiago. These deliveries represented 50% of institutional deliveries in the area. Home deliveries (2%) and private hospital deliveries were not included in the study. Information was obtained from hospital medical records by six trained medical students. Some information could not be obtained from the hospital medical records. Thus the second step in data collection was the tracking of all the selected subjects to their referring neighborhood health centers. For the analysis, the data were divided into 3 case (outcome) categories: 453 subjects were the total case group. From these, 153 were the IUGR case group and 300 were the LBW preterm case group. The general control group consisted of 605 normal birthweight infants. 565 were the IUGR control group and 40 were the preterm control group. A total of 25 risk factors showed a significant crude odds ratio for at least one of the groups. In the multivariate logistic regression analysis eight variables: No. of pregnancies, previous adverse outcomes, previous LBW, pregnancy maternal weight, No. of visits, month of first prenatal care visit, maternal smoking and intrahepatic cholestasis of pregnancy, were significantly associated with LBW after adjustment by confounding. Eight risk factors: IUGR in previous pregnancies, Previous adverse outcome, Maternal smoking, intrahepatic cholestasis, maternal pregnancy weight, maternal height, month first prenatal visit, No. of visit, were significant to IUGR. Only two variables: pregnancy weight, divorced mother, were significantly associated with low birth weight in the preterm group. The most relevant risk factors were included in stepwise logistic regression models carried out for the outcome LBW for the general group, term group and preterm group, in order to adjust by confounding. Adjusted odds ratios were then obtained. Prenatal care related factors and maternal adverse obstetric factors were at higher significance for LBW in the general and IUGR groups. Only nutritional factors were related to LBW in preterm group. Women who delivered a LBW or IUGR infant were more likely to have fewer pregnancies, a history of previous LBW, lower prepregnancy weight and lower gestational weight gain. ICP was associated with an elevated risk of LBW that was independent of gestational age.

Entities:  

Keywords:  Americas; Biology; Birth Weight; Body Weight; Case Control Studies; Child Development; Chile; Demographic Factors; Developing Countries; Fetus; Growth--complications; Latin America; Low Birth Weight; Physiology; Population; Population Characteristics; Pregnancy; Reproduction; Research Methodology; Research Report; Retrospective Studies; Risk Factors; South America; Studies; Urban Population

Mesh:

Year:  1993        PMID: 8191127

Source DB:  PubMed          Journal:  Rev Med Chil        ISSN: 0034-9887            Impact factor:   0.553


  9 in total

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2.  Prediction model for low birth weight and its validation.

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Authors:  Rossina G Pareja; Grace S Marquis; Mary E Penny; Philip M Dixon
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4.  Good pregnancy outcome despite intrahepatic cholestasis.

Authors:  Kaisa Turunen; Markku Sumanen; Riitta-Liisa Haukilahti; Pertti Kirkinen; Kari Mattila
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6.  Perinatal outcomes associated with low birth weight in a historical cohort.

Authors:  Pedro R Coutinho; José G Cecatti; Fernanda G Surita; Maria L Costa; Sirlei S Morais
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7.  Comparison of gestational diabetes mellitus and pre-eclampsia in women with high hemoglobin in the first trimester of pregnancy: A longitudinal study.

Authors:  Ferdous Mehrabian; Seyyed Mohammad Hosseini
Journal:  Pak J Med Sci       Date:  2013-07       Impact factor: 1.088

8.  Prediction of Low Birth Weight Delivery by Maternal Status and Its Validation: Decision Curve Analysis.

Authors:  Mehri Rejali; Marjan Mansourian; Zohre Babaei; Babak Eshrati
Journal:  Int J Prev Med       Date:  2017-07-25

9.  Multi-level modeling of social factors and preterm delivery in Santiago de Chile.

Authors:  Jay S Kaufman; Faustino T Alonso; Paulina Pino
Journal:  BMC Pregnancy Childbirth       Date:  2008-10-08       Impact factor: 3.007

  9 in total

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