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Demographic Profiles, Mercury, Selenium, and Omega-3 Fatty Acids in Avid Seafood Consumers on Long Island, NY
Author(s) -
Rebecca Monastero,
Roxanne Karimi,
Susan Silbernagel,
Jaymie R. Meliker
Publication year - 2015
Publication title -
journal of community health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.822
H-Index - 63
eISSN - 1573-3610
pISSN - 0094-5145
DOI - 10.1007/s10900-015-0082-5
Subject(s) - mercury (programming language) , selenium , omega , food science , geography , chemistry , computer science , physics , organic chemistry , programming language , quantum mechanics
Seafood consumption is known to confer nutritional benefits and risks from contaminant exposure. Avid seafood consumers are neither well-characterized with regard to their demographic profile nor their underlying risk-benefit profile. Contaminants [e.g., mercury (Hg)] and nutrients [e.g., selenium (Se), omega-3 fatty acids] are prevalent in some seafood. Participants (N = 285) recruited on Long Island, NY, completed food frequency and health questionnaires and received blood draws analyzed for Hg, omega-3s, and Se. Participants were categorized based on frequency and type of seafood consumption. Logistic regression analyses evaluated relationships between seafood consumption and demographics, and were age- and sex-adjusted. t tests assessed relationships between seafood consumption patterns and biomarkers Hg, omega-3s, and Se. Consumption of both tuna and salmon was associated with older age: those aged 55-75 and over 75 years old were more likely than participants aged 18-34 to eat tuna and salmon (OR 2.27; 95% CI 1.05, 4.89 and OR 3.67; 95% CI 1.20, 11.20, respectively). Males were less likely than females to eat fish other than tuna or salmon (OR 0.58; 95% CI 0.34, 0.97). Caucasians were more likely to consume tuna (OR 0.31; 95% CI 0.10, 0.96) or salmon and tuna (OR 0.34; 95% CI 0.12, 0.91), while non-Caucasians were more likely to consume other fish types (OR 2.73; 95% CI 1.45, 5.12). Total blood Hg was associated with weekly consumption of any type of fish (p = 0.01) and with salmon and tuna consumption (p = 0.01). Salmon was associated with plasma omega-3s (p = 0.01). Se was not associated with fish intake categories. Risk communicators can use these findings to influence seafood preferences of different demographic groups.

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