Prevention of prematurity – a complex undertaking reply

2012 ◽  
Vol 40 (1) ◽  
Author(s):  
Erich Saling
Keyword(s):  
Prevention Of Prematurity

Prevention of Prematurity in Twins

1978 ◽  
Vol 18 (3) ◽  
pp. 179-181 ◽  
Author(s):  
R. L. TambyRaja ◽  
V. Atputharajah ◽  
Y. Salmon
Keyword(s):  
Prevention Of Prematurity

Corticosteroid treatment for prevention of prematurity complications

2002 ◽  
Vol 267 (2) ◽  
pp. 90-94 ◽  
Author(s):  
C. Celik ◽  
A. Acar ◽  
N. Cicek ◽  
H. Koc ◽  
D. Ak ◽  
...  
Keyword(s):  
Corticosteroid Treatment ◽  
Prevention Of Prematurity

scholarly journals Prematurity and Body Fat at 6, 18, and 30 Years of Age: Pelotas (Brazil) 2004, 1993, and 1982 Birth Cohorts

2020 ◽  
Author(s):  
Caroline Cardozo Bortolotto ◽  
Iná Santos ◽  
Juliana dos Santos Vaz ◽  
Alicia Matijasevich ◽  
Aluísio J.D. B ◽  
...  
Keyword(s):  
Body Fat ◽  
Fat Mass ◽  
Population Based ◽  
Z Score ◽  
Birth Cohorts ◽  
Air Displacement Plethysmography ◽  
Live Births ◽  
Using Data ◽  
The City ◽  
Prevention Of Prematurity

Abstract Background: Our aim was to investigate the association between preterm birth and body fat at 6, 18, and 30 years of age using data from three population-based birth cohort studies. Methods: Information on gestational age (GA) gathered in the hospital of birth in the first 24-hours after the delivery was obtained for all live births occurring in the city of Pelotas, Brazil, in the years 2004, 1993 and 1982. GA was defined by the date of last menstrual period and was later categorized in ≤33, 34-36 and ≥37 weeks. Body fat was assessed by air-displacement plethysmography. Outcomes included fat mass (FM, kg), percent fat mass (%FM), fat mass index (FMI, kg/m2), and body mass index (BMI, kg/m2 at 18 years in the 1993 cohort and at 30 years in the 1982 cohort; and BMI Z-score, at 6 years in the 2004 cohort). Crude and adjusted linear regression provided beta coefficients with 95% confidence intervals (95%CI).Results: A total of 3036, 3027, and 2417 participants, respectively, from the 2004, 1993, and 1982 cohorts were analyzed. At 6 years, boys born at 34-36 weeks GA presented lower adjusted mean %FM (β: -2.91%; -4.45--1.36), FMI (β: -0.70 kg/m2 ; -1.13--0.28) and BMI Z-score (β: -0.48 kg/m2; -0.79--0.16), when compared to boys born at term (≥37). At 30 years, FM (15.6kg; 0.40-30.90), %FM (13.65%; 1.38-25.92) and FMI (5.3kg/m2; 0.30-10.37) were higher among males born at ≤33 weeks, with no statistical difference as compared to those born at term. No association was found between GA and body fat at the 1993 cohort (18 years) for both sexes. Conclusions: Given the large number of preterm infants born each year, prevention of prematurity is essential as there are possible links between body composition and diseases later in life.

Medical Legal Issues in the Prevention of Prematurity

2007 ◽  
Vol 34 (2) ◽  
pp. 309-318 ◽  
Author(s):  
David E. Seubert ◽  
William M. Huang ◽  
Randi Wasserman-Hoff
Keyword(s):  
Legal Issues ◽  
Prevention Of Prematurity

Preterm births

2018 ◽  
pp. 145-149
Author(s):  
Sarah Moxon ◽  
Samantha Sadoo ◽  
Tom Lissauer
Keyword(s):  
Preterm Birth ◽  
Family Support ◽  
Preterm Births ◽  
Universal Coverage ◽  
Premature Baby ◽  
Mortality And Morbidity ◽  
Skilled Personnel ◽  
Neurodevelopmental Impairment ◽  
Prevention Of Prematurity

This chapter highlights the increasing burden and significance of preterm births. Direct complications of preterm birth are now the leading cause of mortality in neonates and children under five. There is also a higher risk of neurodevelopmental impairment in survivors. Preterm birth related mortality and morbidity can be reduced through clinical interventions targeted across the continuum of care, from optimising preconception and pregnancy care, to postnatal care of a premature baby. Prevention of prematurity is complex, with some interventions available but with limited impact. With universal coverage of interventions for small and sick newborns, an estimated 84% of deaths could be prevented, but this requires more investment in skilled personnel and robust technology. When scaling up inpatient care for small and sick newborns, improved measurement of outcomes, follow-up to prevent/manage impairment, and family support are all vital.

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