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. Author manuscript; available in PMC: 2018 Jan 15.
Published in final edited form as: Mar Pollut Bull. 2016 Sep 2;114(1):144–156. doi: 10.1016/j.marpolbul.2016.08.072

Table 7.

Summary statistics for analysis of variance (ANOVA) models used to examine the effects of age, gender, and state of residence (3-way ANOVA) and ethnicity and race (2-way ANOVA) on survey participants’ fish consumption rates (“total” fish meals/day and “target” fish meals/day), percent of fish meals comprised of target fishes, and Hg exposure rates (mg Hg/kg body weight/day). Significant contrasts are also presented.

Factor Age Gender State Contrasts
F (df) p F (df) p F (df) p
Fish eating
rate (total)
3.48 (3) < 0.05 4.64 (1) < 0.05 1.10 (3) 0.347 66+ > 18-
45;
Female >
Male
Fish eating
rate
(target)
0.79 (3) 0.501 0.11 (1) 0.736 0.68 (3) 0.565
Percent
target fish
1.04 (3) 0.374 5.00 (1) < 0.05 1.01 (3) 0.386 Male >
Female
Factor Ethnicity Race Contrasts
F (df) p F (df) p
Fish eating
rate (total)
0.51 (1) 0.475 0.18 (3) 0.907
Fish eating
rate
(target)
0.03 (1) 0.856 0.76 (3) 0.516
Percent
target fish
0.39 (1) 0.534 1.78 (3) 0.150
Hg
exposure
rate
0.02 (1) 0.895 0.12 (3) 0.951