| Literature DB >> 28212649 |
Leanne K Cusack1, Ellen Smit2, Molly L Kile2, Anna K Harding2.
Abstract
BACKGROUND: The primary route of exposure to methylmercury (MeHg), a known developmental neurotoxicant, is from ingestion of seafood. Since 2004, women of reproductive age in the U.S. have been urged to eat fish and shellfish as part of a healthy diet while selecting species that contain lower levels MeHg. Yet few studies have examined trends in MeHg exposure and fish consumption over time in this group of women with respect to their geographical location in the U.S.Entities:
Keywords: Blood; Coastal; Fish; Fish consumption; Methylmercury; NHANES; Regional
Mesh:
Substances:
Year: 2017 PMID: 28212649 PMCID: PMC5316155 DOI: 10.1186/s12940-017-0218-4
Source DB: PubMed Journal: Environ Health ISSN: 1476-069X Impact factor: 5.984
Total percentage of women of childbearing ages (16–49 years) with mercury concentrations ≥ 3.5 μg/L and ≥ 5.8 μg/L by U.S. Census region and coastal status for NHANES 1999–2010, weighted (N = 9,597)
| U.S. Census Region | Pr > F | Coastal Status | Pr > F | ||||
|---|---|---|---|---|---|---|---|
| Whole blood mercury | Northeast | South | Midwest | West | Coastal | Noncoastal | |
| Percentage ≥ 3.5 μg/L 15.21 | 10.77 | 2.64 | 8.36 | <0.001 | 12.01 | 4.37 | <0.001 |
| Percentage ≥ 5.8 μg/L 6.48 | 3.26 | 0.78 | 4.24 | <0.001 | 6.06 | 1.81 | <0.001 |
Fig. 1A map of whole blood mercury concentration (geometric mean and 95% Confidence Interval (μg/L)) in women of childbearing ages by coastal/inland regions for NHANES 1999–2010
Fig. 2Distribution of Total Blood Mercury (ug/L), by NHANES survey cycle, for women of childbearing age
Fig. 3Mean reported fish consumption by species in NHANES participant women aged 16–49 years, by region for all years combined
Fig. 4Distribution of total fish consumption (meals per month), by NHANES survey cycle, for women of childbearing age
Fig. 5Mean reported fish consumption by species in NHANES participant women aged 16–49 years, by race/ethnicity for all years combined
Multiple linear regression model describing the associations between total blood mercury levels adjusted for other covariates among women 16–49 years of age participating in NHANES during 1999–2010
| Model 1a | Model 1b | Model 1c | |
|---|---|---|---|
| β (95% CI) | β (95% CI) | β (95% CI) | |
| Intercept | 0.81(0.45,1.17) | 0.61(0.32,0.90) | 0.48(0.23,0.72) |
| Survey Cycle | |||
| 1999–2000 | 0.0 (ref) | 0.0 (ref) | 0.0 (ref) |
| 2001–2002 | –0.44(–0.72,–0.17)* | –0.57(–0.95,–0.19)* | –0.47(–0.79,–0.14)* |
| 2003–2004 | –0.53(–0.78,–0.27)* | –0.58(–0.95,–0.22)* | –0.67(–0.97,–0.37)* |
| 2005–2006 | –0.56(–0.88,–0.24)* | –0.59(–0.97,–0.21)* | –0.57(–0.91,–0.22)* |
| 2007–2008 | –0.57(–0.82,–0.31)* | –0.73(–1.09,–0.38)* | –0.66(–0.96,–0.35)* |
| 2009–2010 | –0.68(–0.93,–0.43)* | –0.67(–1.03,–0.31)* | –0.71(–1.00,–0.41)* |
| Income | |||
| <$20,000 | 0.0 (ref) | 0.0 (ref) | 0.0 (ref) |
| $20,000–$44,999 | 0.12(–0.02,0.26) | 0.15(0.02,0.28)* | 0.12(–0.02,0.26) |
| $45,000–$74,999 | 0.13(0.00,0.26)* | 0.17(0.04,0.31)* | 0.11(–0.02,0.24) |
| $75,000+ | 0.43(0.26,0.61)* | 0.54(0.36,0.71)* | 0.41(0.24,0.59)* |
| Race/Ethnicity | |||
| Non-Hispanic White | 0.0 (ref) | 0.0 (ref) | 0.0 (ref) |
| Mexican American | –0.09(–0.21,0.02) | –0.04(–0.16,0.08) | –0.11(–0.22,0.01) |
| Other Hispanic | 0.0 (–0.31,0.32) | 0.35(–0.02,0.72) | 0.15(–0.18,0.48) |
| Other | 1.03(0.65,1.40)* | 1.17(0.80,1.55)* | 1.03(0.66,1.39)* |
| Non-Hispanic Black | 0.11(0.00,0.22)* | 0.25(0.13,0.38)* | 0.09(–0.02,0.21) |
| Age | |||
| 16–19 | 0.0 (ref) | 0.0 (ref) | 0.0 (ref) |
| 20–29 | 0.19(0.10,0.29)* | 0.26(0.17,0.35)* | 0.19(0.09,0.28)* |
| 30–39 | 0.41(0.23,0.59)* | 0.46(0.28,0.65)* | 0.41(0.22,0.59)* |
| 40–49 | 0.37(0.25,0.48)* | 0.44(0.34,0.55)* | 0.35(0.24,0.47)* |
| Fish Consumption/month | |||
| 0 | 0.0 (ref) | 0.0 (ref) | 0.0 (ref) |
| 1–4 | 0.52(0.41,0.63)* | – | 0.52(0.41,0.62)* |
| 5–8 | 1.12(0.99,1.24)* | – | 1.14(1.01,1.27)* |
| 9+ | 1.97(1.78,2.17)* | – | 2.02(1.81,2.22)* |
| Region | |||
| Inland South | 0.0 (ref) | – | – |
| Atlantic Coast | 0.47(0.08,0.86)* | – | – |
| Gulf Coast | 0.36(–0.76,0.04) | – | – |
| Pacific Coast | 0.22(–0.18,0.63) | – | – |
| Great Lakes Coast | –0.54(–0.88,–0.19)* | – | – |
| Inland West | –0.30(–0.69,0.08) | – | – |
| Inland Midwest | –0.58(–0.93,–0.23)* | – | – |
| Inland Northeast | –0.43(–0.77,–0.09)* | – | – |
| Type of fish | |||
| Swordfish and Shark | – | 1.80(0.57,3.01)* | – |
| Tuna | – | 0.13(0.09,0.17)* | – |
| Shellfish | – | 0.09(0.06,0.12)* | – |
| Marine fish | – | 0.08(0.01,0.15)* | – |
| Freshwater fish | – | 0.12(0.02,0.21)* | – |
| Coastal Status | |||
| Non-coastal | – | – | 0.0 (ref) |
| Coastal Status | – | – | 0.50(0.33,0.67)* |
aMultiple linear regression model adjusted for survey cycle, household income, age, race/ethnicity, fish consumption and region of residence
bmodel adjusted for survey cycle, household income, age, race/ethnicity, fish consumption, type of fish
cmodel adjusted for survey cycle, household income, age, race/ethnicity, fish consumption and coastal status
*p < 0.05