Birth history as a predictor of adverse birth outcomes: Evidence from state vital statistics data

One of the most important predictors of preterm births (PTBs) or low-birth-weight births (LBWBs) is whether a mother has had a history of these birth outcomes. This study examined how different characterizations of birth history (e.g., any previous incidence of PTBs or LBWBs, immediate previous birt...

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Main Authors: Dejun Su, Kaeli Samson, Ashvita Garg, Corrine Hanson, Ann L. Anderson Berry, Ge Lin, Ming Qu
Format: Article
Language:English
Published: Elsevier 2018-09-01
Series:Preventive Medicine Reports
Online Access:http://www.sciencedirect.com/science/article/pii/S2211335518300883
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author Dejun Su
Kaeli Samson
Ashvita Garg
Corrine Hanson
Ann L. Anderson Berry
Ge Lin
Ming Qu
author_facet Dejun Su
Kaeli Samson
Ashvita Garg
Corrine Hanson
Ann L. Anderson Berry
Ge Lin
Ming Qu
author_sort Dejun Su
collection DOAJ
description One of the most important predictors of preterm births (PTBs) or low-birth-weight births (LBWBs) is whether a mother has had a history of these birth outcomes. This study examined how different characterizations of birth history (e.g., any previous incidence of PTBs or LBWBs, immediate previous birth that was preterm or of low birth weight, and number of previous PTBs or LBWBs) were associated with PTBs or LBWBs. Based on birth records (n = 98,776) reported to the vital statistics electronic registration system in Nebraska from 2005 to 2014, mothers with a history of PTBs or LBWBs were more likely to have recurrences of these outcomes than those who did not have any history of PTBs or LBWBs. The adjusted odds ratios for recurrent PTBs ranged from 2.82 (95% CI: 2.62, 3.04) to 5.54 (95% CI: 4.67, 6.57) depending on how previous incidence of PTBs or LBWBs were characterized. The corresponding adjusted odds ratio for LBWBs ranged from 1.58 (95% CI: 1.43, 1.74) to 6.75 (95% CI: 4.96, 9.17). Relative to other measures used to characterize birth history, the use of number of previous PTBs or LBWBs allows for identifying mothers most vulnerable to recurrences of these birth outcomes. To help identify mothers at risk for future PTBs or LBWBs, it is beneficial to develop state-wide surveillance of reoccurrences for adverse birth outcomes which is feasible by integrating all separated birth records for the same mother using vital statistics data. Keywords: Preterm birth, Low birthweight, Birth history, Recurrence, Vital statistics
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spelling doaj.art-dd7eb02efbe84bfca97b04ba5a8162052022-12-21T18:53:27ZengElsevierPreventive Medicine Reports2211-33552018-09-01116368Birth history as a predictor of adverse birth outcomes: Evidence from state vital statistics dataDejun Su0Kaeli Samson1Ashvita Garg2Corrine Hanson3Ann L. Anderson Berry4Ge Lin5Ming Qu6Department of Health Promotion, College of Public Health, University of Nebraska Medical Center, United States; Corresponding author at: 984340 Nebraska Medical Center, Omaha, NE 68198-4340, United States.Department of Biostatistics, College of Public Health, University of Nebraska Medical Center, United StatesDepartment of Health Promotion, College of Public Health, University of Nebraska Medical Center, United StatesCollege of Allied Health Professions, University of Nebraska Medical Center, United StatesDepartment of Pediatrics, College of Medicine, University of Nebraska Medical Center, United StatesDepartment of Environmental and Occupational Health, School of Community Health Sciences, University of Nevada, Las Vegas, United StatesEpidemiology and Health Informatics Unit, Division of Public Health, Nebraska Department of Health and Human Services, United StatesOne of the most important predictors of preterm births (PTBs) or low-birth-weight births (LBWBs) is whether a mother has had a history of these birth outcomes. This study examined how different characterizations of birth history (e.g., any previous incidence of PTBs or LBWBs, immediate previous birth that was preterm or of low birth weight, and number of previous PTBs or LBWBs) were associated with PTBs or LBWBs. Based on birth records (n = 98,776) reported to the vital statistics electronic registration system in Nebraska from 2005 to 2014, mothers with a history of PTBs or LBWBs were more likely to have recurrences of these outcomes than those who did not have any history of PTBs or LBWBs. The adjusted odds ratios for recurrent PTBs ranged from 2.82 (95% CI: 2.62, 3.04) to 5.54 (95% CI: 4.67, 6.57) depending on how previous incidence of PTBs or LBWBs were characterized. The corresponding adjusted odds ratio for LBWBs ranged from 1.58 (95% CI: 1.43, 1.74) to 6.75 (95% CI: 4.96, 9.17). Relative to other measures used to characterize birth history, the use of number of previous PTBs or LBWBs allows for identifying mothers most vulnerable to recurrences of these birth outcomes. To help identify mothers at risk for future PTBs or LBWBs, it is beneficial to develop state-wide surveillance of reoccurrences for adverse birth outcomes which is feasible by integrating all separated birth records for the same mother using vital statistics data. Keywords: Preterm birth, Low birthweight, Birth history, Recurrence, Vital statisticshttp://www.sciencedirect.com/science/article/pii/S2211335518300883
spellingShingle Dejun Su
Kaeli Samson
Ashvita Garg
Corrine Hanson
Ann L. Anderson Berry
Ge Lin
Ming Qu
Birth history as a predictor of adverse birth outcomes: Evidence from state vital statistics data
Preventive Medicine Reports
title Birth history as a predictor of adverse birth outcomes: Evidence from state vital statistics data
title_full Birth history as a predictor of adverse birth outcomes: Evidence from state vital statistics data
title_fullStr Birth history as a predictor of adverse birth outcomes: Evidence from state vital statistics data
title_full_unstemmed Birth history as a predictor of adverse birth outcomes: Evidence from state vital statistics data
title_short Birth history as a predictor of adverse birth outcomes: Evidence from state vital statistics data
title_sort birth history as a predictor of adverse birth outcomes evidence from state vital statistics data
url http://www.sciencedirect.com/science/article/pii/S2211335518300883
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