scholarly journals Spatiotemporal Patterns of Small for Gestational Age and Low Birth Weight Births and Associations With Land Use and Socioeconomic Status

2019 ◽  
Vol 13 ◽  
pp. 117863021986992 ◽  
Author(s):  
Charlene C Nielsen ◽  
Carl G Amrhein ◽  
Prakesh S Shah ◽  
Khalid Aziz ◽  
Alvaro R Osornio-Vargas

In addition to small for gestational age (SGA) and low birth weight at term (LBWT), critically ill cases of SGA/LBWT are significant events from outcomes and economic perspectives that require further understanding of risk factors. We aimed to assess the spatiotemporal distribution of locations where there were consistently higher numbers of critically ill SGA/LBWT (hot spots) in comparison with all SGA/LBWT and all births. We focused on Edmonton (2008-2010) and Calgary (2006-2010), Alberta, and used a geographical information system to apply emerging hot spot analysis, as a new approach for understanding SGA, LBWT, and the critically ill counterparts (ciSGA or ciLBWT). We also compared the resulting aggregated categorical patterns with proportions of land use and socioeconomic status (SES) using Spearman correlation and logistic regression. There was an overall increasing trend in all space-time clusters. Whole period emerging hot spot patterns among births and SGA generally coincided, but SGA with ciSGA and LBWT with ciLBWT did not. Regression coefficients were highest for low SES with SGA and LBWT, but not with ciSGA and ciLBWT. Open areas and industrial land use were most associated with ciLBWT but not with ciSGA, SGA, or LBWT. Differences in the space-time hot spot patterns and the associations with ciSGA and ciLBWT indicate further need to research the interplay of maternal and environmental influences. We demonstrated the novel application of emerging hot spot analysis for small newborns and spatially related them to the surrounding environment.

2020 ◽  
Author(s):  
Angelica Carreira dos Santos ◽  
Alexandra Brentani ◽  
Günther Fink

Abstract Background: Low birth weight and prematurity remain leading causes of infant mortality and morbidity globally. Although an extensive literature has highlighted the importance of socioenvironmental characteristics for birth outcomes, the role of indirect violence on health remains fairly understudied.Methods: Using geocoded birth records from the ongoing Western Region Birth Cohort (Região Oeste Coorte – ROC-Cohort) of infants born between 2012-2014 and geocoded crime reports, we assessed the associations between exposure to violent crimes during pregnancy within a 1-km radius of mother’s residence and low birth weight, preterm delivery, and being born small-for-gestational-age. Violent crime exposure was categorized into quintiles. Multivariate logistic regressions were used to examine the associations between violence exposure and birth outcomes. Models were adjusted for sex, maternal age and education, socioeconomic status, and risk factors such as hypertension, diabetes, smoking, and drinking during pregnancy.Results: Among the 5,268 infants included, the average crime exposure during the first two trimesters of pregnancy ranged from 0.44 violent crimes in the least exposed quintile to 12.74 crimes in the most exposed. Compared to children with the lowest violence exposure, children in the highest exposure quintile were at higher odds of being born small-for-gestational-age (1.41[1.06-1.89]), preterm (1.35[1.01-1.80]), and low birth weight (1.42[1.03-1.98]). While socioeconomic status and maternal education were positively associated with lower violence exposure, no associations were found between these characteristics and the birth outcomes.Conclusions: Higher exposure to external violent crimes in the close vicinity are associated with substantial increases in the odds of adverse birth outcomes. Policies to improve neighborhood safety can contribute not only to the short-term well-being of populations but may also have large social, economic, and health benefits in the long run.


Nutrients ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1853
Author(s):  
María A. Reyes-López. ◽  
Carla P. González-Leyva ◽  
Ameyalli M. Rodríguez-Cano ◽  
Carolina Rodríguez-Hernández ◽  
Eloisa Colin-Ramírez ◽  
...  

A high-quality diet during pregnancy may have positive effects on fetal growth and nutritional status at birth, and it may modify the risk of developing chronic diseases later in life. The aim of this study was to evaluate the association between diet quality and newborn nutritional status in a group of pregnant Mexican women. As part of the ongoing Mexican prospective cohort study, OBESO, we studied 226 healthy pregnant women. We adapted the Alternated Healthy Eating Index-2010 for pregnancy (AHEI-10P). The association between maternal diet and newborn nutritional status was investigated by multiple linear regression and logistic regression models. We applied three 24-h recalls during the second half of gestation. As the AHEI-10P score improved by 5 units, the birth weight and length increased (β = 74.8 ± 35.0 g and β = 0.3 ± 0.4 cm, respectively, p < 0.05). Similarly, the risk of low birth weight (LBW) and small for gestational age (SGA) decreased (OR: 0.47, 95%CI: 0.27–0.82 and OR: 0.55, 95%CI: 0.36–0.85, respectively). In women without preeclampsia and/or GDM, the risk of stunting decreased as the diet quality score increased (+5 units) (OR: 0.62, 95%IC: 0.40–0.96). A high-quality diet during pregnancy was associated with a higher newborn size and a reduced risk of LBW and SGA in this group of pregnant Mexican women.


2020 ◽  
Vol 149 ◽  
pp. 105154 ◽  
Author(s):  
Elaine Luiza Santos Soares de Mendonça ◽  
Mateus de Lima Macêna ◽  
Nassib Bezerra Bueno ◽  
Alane Cabral Menezes de Oliveira ◽  
Carolina Santos Mello

PEDIATRICS ◽  
1982 ◽  
Vol 69 (1) ◽  
pp. 130-130
Author(s):  
Evelyn Lipper ◽  
Kwang-sun Lee ◽  
Lawrence M. Gartner ◽  
Bruce Grellong

All of the infants entered into the study were low-birth-weight infants (&lt;2,500 gm). The majority of infants had a gestational age less than 37 completed weeks, and, of these, some were also small for gestational age. Sixteen infants had a gestational age of ≥37 weeks but were included in the study because their birth weight was below the tenth percentile for their gestational age. We agree with Drs Knobloch and Malone's comment about the interrelationship of all three figures: as gastation advances, birth weight and head circumference increase.


10.2196/16477 ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. e16477
Author(s):  
Zilma Reis ◽  
Gabriela Vitral ◽  
Rodney Guimarães ◽  
Juliano Gaspar ◽  
Enrico Colosimo ◽  
...  

Background A low birth weight is an independent risk factor for adverse infant outcomes and a predictor of chronic disease in adulthood. In these situations, differentiating between prematurity and small for gestational age (SGA) or simultaneous conditions is essential to ensuring adequate care. Such diagnoses, however, depend on reliable pregnancy dating, which can be challenging in developing countries. A new medical optoelectronic device was developed to estimate gestational age (GA) at birth based on newborn skin reflection. Objective This study will aim to evaluate the device’s ability to detect prematurity or SGA, or both conditions simultaneously as well as predict short-term pulmonary complications in a cohort of low-birth-weight newborns. Methods This study protocol was designed for a multicenter cohort including referral hospitals in Brazil and Mozambique. Newborns weighing 500-2500 g will be eligible for inclusion with the best GA available, considering the limited resources of low-income countries. Comparator-GA is based on reliable last menstrual period dating or ultrasound assessment before 24 weeks’ gestation. Estimated GA at birth (Test-GA) will be calculated by applying a novel optoelectronic device to the newborn’s skin over the sole. The average difference between Test-GA and Comparator-GA will be analyzed, as will the percentage of newborns who are correctly diagnosed as preterm or SGA. In addition, in a nested case–control study, the accuracy of skin reflection in the prediction of prematurity-related respiratory problems will be evaluated. The estimated required sample size is 298 newborns. Results Teams of health professionals were trained, and standard operating procedures were developed following the good practice guidelines for the clinical investigation of medical devices for human participants. The first recruitment started in March 2019 in Brazil. Data collection is planned to end in December 2020, and the results should be available in March 2021. Conclusions The results of this clinical study have the potential to validate a new device to easily assess postnatal GA, supporting SGA identification when pregnancy dating is unreliable or unknown. Trial Registration ReBec: RBR-33rnjf; http://www.ensaiosclinicos.gov.br/rg/RBR-33rnjf/ International Registered Report Identifier (IRRID) DERR1-10.2196/16477


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