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Table 2 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

From: Regional and temporal trends in blood mercury concentrations and fish consumption in women of child bearing Age in the united states using NHANES data from 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)*
  1. aMultiple linear regression model adjusted for survey cycle, household income, age, race/ethnicity, fish consumption and region of residence
  2. bmodel adjusted for survey cycle, household income, age, race/ethnicity, fish consumption, type of fish
  3. cmodel adjusted for survey cycle, household income, age, race/ethnicity, fish consumption and coastal status
  4. *p < 0.05