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Do pregnant women living in higher well-being populations in the USA experience lower risk of preterm delivery? A cross-sectional study

OBJECTIVE: To determine if preterm birth, defined as gestational age <37 weeks, is lower for women living in counties with higher well-being, after accounting for known individual risk factors. DESIGN: Cross-sectional study of all US births in 2011. PARTICIPANTS: We obtained birth data from the N...

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Autores principales: Riley, Carley, Roy, Brita, Herrin, Jeph, Spatz, Erica, Silvestri, Mark T, Arora, Anita, Kell, Kenneth P, Rula, Elizabeth Y, Krumholz, Harlan M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6501974/
https://www.ncbi.nlm.nih.gov/pubmed/31048427
http://dx.doi.org/10.1136/bmjopen-2018-024143
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author Riley, Carley
Roy, Brita
Herrin, Jeph
Spatz, Erica
Silvestri, Mark T
Arora, Anita
Kell, Kenneth P
Rula, Elizabeth Y
Krumholz, Harlan M
author_facet Riley, Carley
Roy, Brita
Herrin, Jeph
Spatz, Erica
Silvestri, Mark T
Arora, Anita
Kell, Kenneth P
Rula, Elizabeth Y
Krumholz, Harlan M
author_sort Riley, Carley
collection PubMed
description OBJECTIVE: To determine if preterm birth, defined as gestational age <37 weeks, is lower for women living in counties with higher well-being, after accounting for known individual risk factors. DESIGN: Cross-sectional study of all US births in 2011. PARTICIPANTS: We obtained birth data from the National Center for Health Statistics which included 3 938 985 individuals. MAIN OUTCOMES MEASURES: Primary outcome measure was maternal risk of preterm delivery by county; primary independent variable was county-level well-being as measured by the Gallup-Sharecare Well-Being Index (WBI). RESULTS: Women living in counties with higher population well-being had a lower rate of preterm delivery. The rate of preterm birth in counties in the lowest WBI quintile was 13.1%, while the rate of preterm birth in counties in the highest WBI quintile was 10.9%. In the model adjusted for maternal risk factors (age, race, Hispanic ethnicity, smoking status, timing of initiation of prenatal visits, multiparity, maternal insurance payer), the association was slightly attenuated with an absolute difference of 1.9% (95% CI 1.7% to 2.1%; p<0.001). CONCLUSIONS: Pregnant women who live in areas with higher population well-being have lower risk of preterm birth, even after accounting for individual risk factors.
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spelling pubmed-65019742019-05-21 Do pregnant women living in higher well-being populations in the USA experience lower risk of preterm delivery? A cross-sectional study Riley, Carley Roy, Brita Herrin, Jeph Spatz, Erica Silvestri, Mark T Arora, Anita Kell, Kenneth P Rula, Elizabeth Y Krumholz, Harlan M BMJ Open Public Health OBJECTIVE: To determine if preterm birth, defined as gestational age <37 weeks, is lower for women living in counties with higher well-being, after accounting for known individual risk factors. DESIGN: Cross-sectional study of all US births in 2011. PARTICIPANTS: We obtained birth data from the National Center for Health Statistics which included 3 938 985 individuals. MAIN OUTCOMES MEASURES: Primary outcome measure was maternal risk of preterm delivery by county; primary independent variable was county-level well-being as measured by the Gallup-Sharecare Well-Being Index (WBI). RESULTS: Women living in counties with higher population well-being had a lower rate of preterm delivery. The rate of preterm birth in counties in the lowest WBI quintile was 13.1%, while the rate of preterm birth in counties in the highest WBI quintile was 10.9%. In the model adjusted for maternal risk factors (age, race, Hispanic ethnicity, smoking status, timing of initiation of prenatal visits, multiparity, maternal insurance payer), the association was slightly attenuated with an absolute difference of 1.9% (95% CI 1.7% to 2.1%; p<0.001). CONCLUSIONS: Pregnant women who live in areas with higher population well-being have lower risk of preterm birth, even after accounting for individual risk factors. BMJ Publishing Group 2019-05-01 /pmc/articles/PMC6501974/ /pubmed/31048427 http://dx.doi.org/10.1136/bmjopen-2018-024143 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Public Health
Riley, Carley
Roy, Brita
Herrin, Jeph
Spatz, Erica
Silvestri, Mark T
Arora, Anita
Kell, Kenneth P
Rula, Elizabeth Y
Krumholz, Harlan M
Do pregnant women living in higher well-being populations in the USA experience lower risk of preterm delivery? A cross-sectional study
title Do pregnant women living in higher well-being populations in the USA experience lower risk of preterm delivery? A cross-sectional study
title_full Do pregnant women living in higher well-being populations in the USA experience lower risk of preterm delivery? A cross-sectional study
title_fullStr Do pregnant women living in higher well-being populations in the USA experience lower risk of preterm delivery? A cross-sectional study
title_full_unstemmed Do pregnant women living in higher well-being populations in the USA experience lower risk of preterm delivery? A cross-sectional study
title_short Do pregnant women living in higher well-being populations in the USA experience lower risk of preterm delivery? A cross-sectional study
title_sort do pregnant women living in higher well-being populations in the usa experience lower risk of preterm delivery? a cross-sectional study
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6501974/
https://www.ncbi.nlm.nih.gov/pubmed/31048427
http://dx.doi.org/10.1136/bmjopen-2018-024143
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