Neighborhood Poverty in Combination with Older Housing Is Associated with Adverse Birth Outcomes: A Study on Ubiquitous Lead Risk among 1 Million Births in Texas.
Bethany Marie WoodCatherine CubbinPublished in: International journal of environmental research and public health (2022)
The purpose of this study was to determine whether housing age in combination with neighborhood poverty, as a proxy for fetal exposure to heavy metal lead, is associated with adverse birth outcomes. We linked population-level birth certificate data for Black, Hispanic, White and Other women, stratified by nativity, from 2009-2011 in Texas ( n = 1,040,642) to census the tract-level median housing age/poverty level from the American Community Survey, 2007-2011. Tracts with median housing age values before 1975 with a poverty level of 20% or more were considered to be neighborhoods with a high risk of exposure to deteriorating lead-based paint. We estimated multilevel models to examine the relationship between neighborhood housing age/poverty level and each dependent variable (preterm birth, low birth weight, small-for-gestational age). The odds of adverse birth outcomes were significantly higher for mothers living in high-poverty neighborhoods with median housing built before the lead-based paint ban. Increased awareness of-and improved methods of alleviating- ubiquitous lead-based paint exposure in Texas may be necessary interventions for positive developmental trajectories of children. Allocating federal funds for place-based interventions, including universal lead paint mitigation, in older, high-poverty neighborhoods may reduce the disproportionate risk of adverse birth outcomes.
Keyphrases
- gestational age
- preterm birth
- low birth weight
- birth weight
- physical activity
- mental illness
- human milk
- preterm infants
- climate change
- depressive symptoms
- polycystic ovary syndrome
- mental health
- body mass index
- young adults
- risk assessment
- type diabetes
- machine learning
- emergency department
- pregnant women
- pregnancy outcomes
- big data
- drinking water
- adipose tissue
- middle aged
- artificial intelligence
- skeletal muscle
- weight gain
- data analysis