Table 1. Characteristics of the cohorts included in this analysis of the genetics of fish consumption.
Study | Maximum N |
Age | % Female | Total Fish Intake (serv/day) Median (5-95th%) | Dietary EPA+DHA (mg/d) Median (5-95th%) | ||
---|---|---|---|---|---|---|---|
ARIC | 9557 | 54.3 ± 5.7 | 53 | 0.21 | (0.0–0.9) | 180 | (10–730) |
CHS | 3190 | 72.3 ± 5.4 | 61 | 0.29 | (0.1–0.8) | 191 | (27–569) |
DILGOM_METABO | 3467 | 51.5 ± 13.4 | 55 | 0.42 | (0.1–1.3) | 431 | (119–1277) |
DILGOM_GWA | 604 | 52.4 ± 13.5 | 52 | 0.44 | (0.1–1.2) | 444 | (107–1233) |
ESTONIAN Study | 9920 | 48.8 ± 20.1 | 53 | 0.21 | (0.0–0.6) | - | - |
FamHS | 3640 | 52.2 ± 13.7 | 53 | 0.14 | (0.0–0.7) | 170 | (1–680) |
FHS | 7044 | 47.3 ± 11.8 | 54 | 0.13 | (0.0–0.6) | 200 | (40–640) |
Health ABC | 1494 | 74.8 ± 2.9 | 48 | 0.20 | (0.2–0.3) | - | - |
Health 2000 | 1935 | 50.5 ± 10.9 | 51 | 0.39 | (0.1–1.1) | 505 | (102–1477) |
HBCS | 1701 | 61.5 ± 2.9 | 57 | 0.44 | (0.1–1.3) | 563 | (145–1895) |
HPFS | 4133 | 58.6 ± 8.7 | 0 | 0.29 | (0.1–0.9) | - | - |
InCHIANTI | 1194 | 68.3 ± 15.4 | 55 | 0.19 | (0.0–0.5) | - | - |
MESA | 2305 | 62.7 ± 10.2 | 52 | 0.17 | (0.0–0.7) | 100 | (20–300) |
NHS | 6776 | 54.4 ± 6.7 | 100 | 0.28 | (0.1–0.8) | - | - |
Rotterdam | 4606 | 67.6 ± 7.7 | 59 | 0.07 | (0.0–0.5) | 89 | (8–443) |
THISEAS | 395 | 59.4 ± 13.0 | 41 | 0.59 | (0.0–2.0) | 137 | (4–479) |
WGHS | 22691 | 54.7 ± 7.1 | 100 | 0.20 | (0.0–0.7) | 150 | (30–470) |
YFS | 1815 | 37.8 ± 5.0 | 56 | 0.34 | (0.1–0.9) | 357 | (92–902) |
Abbreviations: Atherosclerosis Risk in Communities Study (ARIC); Cardiovascular Health Study (CHS); Dietary, Lifestyle, and Genetic Determinants of Obesity and Metabolic Syndrome (DILGOM); Estonian Study; Family Heart Study (FamHS); Framingham Heart Study (FHS); Helsinki Birth Cohort Study (HBCS); Health 2000 survey (H2000); Health, Aging, and Body Composition (HealthABC) Study; Health Professionals Follow-up Study (HPFS); Invecchiare [Aging] in Chianti Area (InCHIANTI); Multi-Ethnic Study of Atherosclerosis (MESA); Nurses’ Health Study (NHS); Rotterdam Study; The Hellenic Study of Interactions between SNPs and Eating in Atherosclerosis Susceptibility (THESIAS); Women’s Genome and Health study (WGHS); and Young Finns Study (YFS).