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Violent crime exposure classification and adverse birth outcomes: a geographically-defined cohort study
Lynne C Messer1, Jay S Kaufman, Nancy Dole
1US Environmental Protection Agency/National Human Environmental Effects Research Laboratory, Human Studies Division, MD 58A, Research Triangle Park, NC 27711, USA. lmesser@email.unc.edu
Neighborhood violent crime, when viewed as an area attribute, is linked to adverse birth outcomes like preterm birth and low birth weight. Proximal crime exposures did not show a significant association with birth outcomes.
Area of Science:
- Reproductive Health
- Environmental Health
- Sociology
Background:
- Socioeconomic disparities are linked to adverse pregnancy outcomes.
- Neighborhood crime is an understudied factor in reproductive health.
- Varied definitions of crime in research limit comparability.
Purpose of the Study:
- To explore the relevance of different spatial violent crime exposures for adverse birth events.
- To compare proximal and area-level crime categorizations in association with birth outcomes.
- To investigate the impact of violent crime on birth outcomes in Raleigh, NC.
Main Methods:
- Utilized geocoded linked birth records, crime, and census data.
- Employed multilevel models to analyze four spatial violent crime exposures.
- Adjusted for maternal age, education, and area-level deprivation.
Main Results:
- Proximal crime exposures were not associated with adverse birth outcomes.
- Area-level violent crime was positively associated with preterm birth and low birth weight in non-Hispanic white and black women.
- No significant interaction was found between area deprivation and crime category.
Conclusions:
- Crime's definition and categorization significantly impact study associations with health outcomes.
- Area-level violent crime, treated as a neighborhood attribute, shows implications for adverse birth outcomes.
- This study is the first to directly compare multiple crime categorizations against health outcomes.
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Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
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