Mercury Levels in an Urban Pregnant Population in Durham County, North Carolina
Bibliographic Data
| ID | 15500038 |
|---|---|
| Authors | Marie Lynn Miranda (0000-0002-5670-0837, Duke University, corresponding author), Sharon Edwards (Duke University), Sharon E Edwards (Duke University), Pamela Maxson (Duke University), Pamela J Maxson (Duke University) |
| Year | 2011 |
| Volume | 8 |
| Issue | 3 |
| Pages | 698-712 |
| Publication date | 2011-03-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph8030698 |
| PMID | 21556174 |
| PMCID | PMC3083665 |
| OpenAlex | W2078555642 |
| Language | EN |
| Citations received | 1 |
| References cited | 28 |
The adverse effects of prenatal mercury exposure, most commonly resulting from maternal fish consumption, have been detected at very low exposure levels. The omega-3 fatty acids found in fish, however, have been shown to support fetal brain and vision development. Using data from a prospective, cohort study of pregnant women from an inland area in the US South, we sought to understand the fish consumption habits and associated mercury levels across subpopulations. Over 30% of women had at least 1 μg/L of mercury in their blood, and about 2% had blood mercury levels above the level of concern during pregnancy (≥ 3.5 μg/L). Mercury levels were higher among Asian/Pacific Islander, older, higher educated, and married women. Fish consumption from any source was reported by 2/3 of the women in our study, with older women more likely to consume fish. Despite eating more fish meals per week, lower income, lower educated women had lower blood mercury levels than higher income, higher educated women. This suggests the different demographic groups consume different types of fish. Encouraging increased fish consumption while minimizing mercury exposure requires careful crafting of a complex health message
Biology · Biomonitoring · Cohort · Environmental health · Fish · Fish consumption · Fishery · Mercury (programming language · MERCURY EXPOSURE · Population · Pregnancy · Air Quality and Health Impacts · Demography · Heavy Metal Exposure and Toxicity · Medicine · Mercury impact and mitigation studies · Ecology
| Citations per year | 0.08 |
|---|---|
| Citation span | 2014 - 2014 (1) |
| Highly cited | No |