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- Title
Reproductive Outcomes Following Maternal Exposure to the Events of September 11, 2001, at the World Trade Center, in New York City.
- Authors
Maslow, Carey B.; Caramanica, Kimberly; Jiehui Li; Stellman, Steven D.; Brackbill, Robert M.
- Abstract
Objectives. To estimate associations between exposure to the events of September 11, 2001, (9/11) and low birth weight (LBW), preterm delivery (PD), and small size for gestational age (SGA). Methods. We matched birth certificates filed in New York City for singleton births between 9/11 and the end of 2010 to 9/11-related exposure data provided by mothers who were World Trade Center Health Registry enrollees. Generalized estimating equations estimated associations between exposures and LBW, PD, and SGA. Results. Among 3360 births, 5.8% were LBW, 6.5% were PD, and 9% were SGA. Having incurred at least 2 of 4 exposures, having performed rescue or recovery work, and probable 9/11-related posttraumatic stress disorder 2 to 3 years after 9/11 were associated with PD and LBW during the early study period. Conclusions. Disasters on the magnitude of 9/11 may exert effects on reproductive outcomes for several years. Women who are pregnant during and after a disaster should be closely monitored for physical and psychological sequelae. Public Health Implications. In utero and maternal disaster exposure may affect birth outcomes. Researchers studying effects of individual disasters should identify commonalities that may inform postdisaster responses to minimize disaster-related adverse birth outcomes.
- Subjects
UNITED States; NEW York (State); REPRODUCTIVE health; SEPTEMBER 11 Terrorist Attacks, 2001, &; health; MATERNAL exposure; LOW birth weight; ENVIRONMENTAL health research; PREMATURE labor; BIRTH size; MOTHER-infant relationship; BIRTH certificates; TERRORISM; CHI-squared test; REPORTING of diseases; PREMATURE infants; LIFE skills; LONGITUDINAL method; EVALUATION of medical care; POST-traumatic stress disorder; PREGNANCY; PROBABILITY theory; RESEARCH funding; STATISTICS; SURVEYS; DATA analysis; DATA analysis software
- Publication
American Journal of Public Health, 2016, Vol 106, Issue 10, p1796
- ISSN
0090-0036
- Publication type
Article
- DOI
10.2105/AJPH.2016.303303