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. Author manuscript; available in PMC: 2016 Jul 1.
Published in final edited form as: Nutr Metab Cardiovasc Dis. 2015 Apr 25;25(7):651–658. doi: 10.1016/j.numecd.2015.04.006

Table 3.

Associations between fish+ and n-3 LCFA intakes and all-cause mortality in participants with prevalent chronic disease* at baseline and diabetes at baseline, Southern Community Cohort Study**

Participants with chronic disease at
baseline
Participants with diabetes
at baseline
RR 95% CI P trend RR 95% CI P trend
Total Fish
Quintile 1 1.00 0.23 1.00 0.22
Quintile 2 0.98 0.88–1.09 0.98 0.86–1.12
Quintile 3 0.94 0.85–1.05 0.91 0.79–1.04
Quintile 4 1.02 0.91–1.13 0.99 0.87–1.13
Quintile 5 0.90 0.80–1.01 0.89 0.77–1.03
Tuna
Quintile 1 1.00 0.90 1.00 0.70
Quintile 2 0.94 0.84–1.05 0.99 0.87–1.13
Quintile 3 0.97 0.87–1.09 0.96 0.84–1.11
Quintile 4 1.02 0.91–1.14 1.08 0.94–1.24
Quintile 5 0.96 0.86–1.07 0.99 0.87–1.13
Fried Fish
Quintile 1 1.00 0.03 1.00 0.06
Quintile 2 0.95 0.86–1.06 1.03 0.90–1.17
Quintile 3 0.97 0.87–1.08 0.94 0.82–1.07
Quintile 4 0.94 0.84–1.04 0.94 0.82–1.07
Quintile 5 0.87 0.78–0.98 0.89 0.78–1.03
Baked/Grilled Fish
Quintile 1 1.00 0.16 1.00 0.12
Quintile 2 0.94 0.84–1.05 0.93 0.81–1.07
Quintile 3 0.91 0.83–1.01 0.93 0.82–1.06
Quintile 4 1.03 0.92–1.15 1.01 0.88–1.15
Quintile 5 0.88 0.79–0.98 0.87 0.76–0.99
n-3 LCFA
Quintile 1 1.00 0.11 1.00 0.03
Quintile 2 1.03 0.92–1.14 1.06 0.93–1.20
Quintile 3 0.95 0.85–1.06 0.94 0.82–1.08
Quintile 4 0.99 0.89–1.11 0.95 0.82–1.08
Quintile 5 0.90 0.80–1.02 0.88 0.75–1.02
+

Based on the FFQ item that asked about intake from 1) fried fish - fried fish, shrimp or seafood (including sandwiches), 2) baked/grilled fish - broiled or baked fish, shrimp, or seafood (including sandwiches), and 3) tuna - canned tuna, tuna casserole, or tuna salad (including sandwiches)

*

Chronic disease (i.e., prior history of diabetes, myocardial infarction, heart attack or coronary artery by-pass surgery, or stroke)

**

RRs adjusted for age, kcals/day, BMI, smoking, alcohol consumption, physical activity, income, education, insurance coverage, race, gender, and total meat intake per day