TY - JOUR
T1 - Racial and ethnic disparities in birth Outcomes
T2 - A decomposition analysis of contributing factors
AU - Su, Dejun
AU - Samson, Kaeli
AU - Hanson, Corrine
AU - Anderson Berry, Ann L.
AU - Li, Yan
AU - Shi, Lu
AU - Zhang, Donglan
N1 - Funding Information:
This study was supported by the Grant or Cooperative Agreement Number B01 OT009067, funded by the Centers for Disease Control and Prevention. Its contents are solely the responsibility of the authors and do not necessarily represent the official view of the Centers for Disease Control and Prevention or the Department of Health and Human Services. We want to thank Dong Liu, Ashvita Garg, Ming Qu, Peibei Sun, Norm Nelson, and Mark Miller for their assistance with data accessing and coding.
Publisher Copyright:
© 2021 The Author(s)
PY - 2021/9
Y1 - 2021/9
N2 - This study seeks to quantify and rank the contribution of selected factors to the observed racial/ethnic disparities in low-birth-weight births (LBWBs) and preterm births (PTBs). Based on vital statistics data on births to primiparous women and characteristics of mothers in the State of Nebraska during the period of 2005 to 2014 (n = 93,375), unadjusted and adjusted odds ratios were estimated to examine the association between selected variables and the odds of having LBWBs or PTBs. Fairlie decomposition analysis was performed to quantify the contribution of each selected factor to racial/ethnic differences in LBWB and PTB rates. The prevalence of PTBs was 9.1% among non-Hispanic White (NHW) women, as compared to 12.8% among non-Hispanic Black (NHB) women and 10.6% among Hispanic women. The corresponding prevalence of LBWBs in the three groups were 5.9%, 11.9%, and 7.2%, respectively. The higher educational attainment among NHW women, relative to NHB women accounted for 10% of the observed difference in LBWB rate between the two groups. Health insurance coverage was the second most important factor accounting for the observed disparities in birth outcomes. Addressing socioeconomic disadvantages in NHB and Hispanic women would be important for them to narrow their gaps with NHW women in LBWB and PTB prevalence. More research is needed to identify key factors leading to the disparities in birth outcomes between NHW and NHB women.
AB - This study seeks to quantify and rank the contribution of selected factors to the observed racial/ethnic disparities in low-birth-weight births (LBWBs) and preterm births (PTBs). Based on vital statistics data on births to primiparous women and characteristics of mothers in the State of Nebraska during the period of 2005 to 2014 (n = 93,375), unadjusted and adjusted odds ratios were estimated to examine the association between selected variables and the odds of having LBWBs or PTBs. Fairlie decomposition analysis was performed to quantify the contribution of each selected factor to racial/ethnic differences in LBWB and PTB rates. The prevalence of PTBs was 9.1% among non-Hispanic White (NHW) women, as compared to 12.8% among non-Hispanic Black (NHB) women and 10.6% among Hispanic women. The corresponding prevalence of LBWBs in the three groups were 5.9%, 11.9%, and 7.2%, respectively. The higher educational attainment among NHW women, relative to NHB women accounted for 10% of the observed difference in LBWB rate between the two groups. Health insurance coverage was the second most important factor accounting for the observed disparities in birth outcomes. Addressing socioeconomic disadvantages in NHB and Hispanic women would be important for them to narrow their gaps with NHW women in LBWB and PTB prevalence. More research is needed to identify key factors leading to the disparities in birth outcomes between NHW and NHB women.
KW - Birth outcomes
KW - Fairlie decomposition
KW - Low-birth-weight
KW - Mother's education
KW - Mother's health insurance coverage
KW - Preterm births
KW - Racial and ethnic disparities
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U2 - 10.1016/j.pmedr.2021.101456
DO - 10.1016/j.pmedr.2021.101456
M3 - Article
C2 - 34285869
AN - SCOPUS:85110248291
SN - 2211-3355
VL - 23
JO - Preventive Medicine Reports
JF - Preventive Medicine Reports
M1 - 101456
ER -