Fish consumption and total Cancer.
Abstract
OBJECTIVES:
- To review all prospective studies which published information about total fish, or specific types of fish, in relation with total cancer risk, disease progression and mortality/survival.
- To define the amount of consumption found to be related with possible effects on the different cancer end points.
- To define possible effect modification by confounders.
DATA SOURCE: The Pubmed database was searched (No start date - Dec 13, 2010) for relevant articles using
the keyword fish, omega 3, polyunsaturated fat, or seafood, combined with prospective, cohort, follow-up, or longitudinal and a fair amount of other keywords.
The exact search term is described Here.
Prospective studies published in the English language were included. Reference lists were searched for additional articles.
RESULTS: 19 articles were found which provided information about 16 different cohorts. Of these, 0 articles were excluded.
Results are described when any evidence for an association - as defined in the Methods - was found. In addition, data about total fish, fatty fish, and lean fish
is described.
- Cancer risk: Data about total fish consumption was provided by 14 cohorts, including 62,967 cases. Few effects were found. No evidence
was found for an association between total fish consumption and total cancer risk (RR = 1.00).
Data about fatty fish consumption was provided by one cohort. No association was found. And no data was found about lean fish. - Advanced stage/metastatic disease risk or disease progression: No data was found.
- Cancer mortality: Data about total fish consumption was provided by 12 cohorts, including 24,543 cases. Few effects were found. No evidence
was found for an association between total fish consumption and total cancer mortality (RR = 1.00).
No data was found about fatty fish or lean fish.
CONCLUSION: For total fish consumption few effects were found at any level of consumption, and the average RR's showed no evidence for any effect at all. No evidence was found for an association between total fish consumption and total cancer risk or total cancer mortality. Little data was available about fatty fish, and no data was available about lean fish intake. Hardly any data was available about other specific types of fish, and inconclusive/no evidence was found for any association.
Methods.
Defining fish consumption: "Total fish" included data about fish consumption with or without seafood/shellfish, or without using a definition
for fish. Preferably, the definition excluded seafood/shellfish.
Data about "omega-3 fatty acids" was included as a surrogate for fish consumption, if these fatty acids reflected (primarily) non-supplemental dietary intakes;
were defined as "marine omega-3 fatty acids", "omega-3 fatty acids from fish (oil)", or "dietary fish oil"; and did not include omega-3 from other dietary sources.
Preferably, fish consumption was chosen over consumption of marine omega-3 fatty acids.
Data from the author "Hirayama T.": Dr. Hirayama examined the effects of a small amount of food groups in relation to a large amount of mortality end
points in a Japanese cohort of very large size. An extended review of his work was published as a book in 1990 (Hirayama T [10]). Data about this cohort is
seldom included in current systematic reviews about the relations mentioned. Dr. Hirayama published a lot of articles stating that vegetables and meats were
related to several disease end points, adjusted for age and sex. However, the book included one page showing effects after multivariate analysis including
cigarette smoking, meat, green-yellow vegetables, and alcohol. This analysis showed that a large amount of previously published effects completely
changed when these variables were taken into account.
Since a) Dr. Hirayama himself only published sex-, and age-adjusted results in the English language, while results following multivariate analysis often were
completely different b) the results were published as a book and not in a peer-reviewed journal, and c) Dr. Hirayama was the only researcher examining
this cohort, results from his cohort are debatable. Results will be presented including effects from his work, but his work will not be included when the
evidence for a possible effect is judged.
Total fish and total cancer.
Total cancer risk: Data about total fish consumption and total cancer risk was provided by 14 cohorts, including 62,967 cases.
A significant protective effect was found among men in one cohort of very large size (Hirayama T [3]), and a significantly increased risk was found
among men in one cohort of small size, but no adjustments were made for any possible confounders (Ikeda M [1]). The average RR could be calculated
from 12 cohorts: RR = 0.94. Excluding the debatable results from Hirayama T [3] eliminated any effect: RR = 1.00.
Advanced stage/metastatic disease risk or disease progression: No data was found.
Total cancer mortality: Data about total fish consumption and total cancer mortality was provided by 12 cohorts, including 24,543 cases.
Significant effects were identical to the ones for the analysis of cancer risk. The average RR could be calculated from 10 cohorts: RR = 0.83.
Again, excluding the debatable results from Hirayama T [3] eliminated any effect: RR = 1.00.
Inclusion of intermediate levels of consumption.
(Non)significant effects at any level of consumption were as follows:
- Hirayama T [3]: Significant protective for men at any level of consumption, and for women at consumption 1-3 times/wk. Nonsignificant for women at other levels of consumption.
- Gillum RF [7]: Significant protective for white man at consumption once/week.
Effect modification: No effect modification was found by omega-6 fay intake (Virtanen JK [14]), BMI, or income (Tomasallo C [16]).
Subjects with prevalant disease: No data was found.
Conclusion: Very few effects were found at any level of consumption, and the average RR's showed zero effect. No evidence was found for an association
between fish consumption and total cancer risk, or total cancer mortality.
| Author | Cohort name | Cases | End point | Relative Risk (RR) |
|---|---|---|---|---|
| 16) Tomasallo C (2010) | No cohort name defined | 77 captains, and 44 referents | Mortality | Captains: HR = 1.02 (0.52-1.02). Women: HR = 0.73 (0.34-1.60). |
| 14) Virtanen JK (2008) | The Health Professionals Follow-up Study | 4,690 | Risk | RR = 0.96 (0.82-1.14; P = 0.99) |
| 13) Couto E (2011) | The EPIC Study | 30,731 | Risk | HR = 1.01 (0.99-1.02) |
| 11) Iso H (2007) | The JACC Study | 3,677 men, and 2,125 women | Mortality | Men: HR = 1.01 (0.93-1.10). Women: HR = 0.97 (0.86-1.09). |
| 10) Khan MM (2004) | No cohort name defined | 155 men, and 89 women | Mortality | Men: RR = 1.0* Women: RR = 1.47* |
| 9) Kelemen LE (2005) | The Iowa Women's Health Study | 4,843 | Risk | RR = 0.98 (0.88-1.09; P = 0.74) |
| 8) Nagata C (2002) | The Takayama Study | 400 men, and 253 women | Mortality | Men: HR = 0.89 (0.66-1.20; P = 0.52). Women: HR = 0.70 (0.47-1.05; P = 0.15) |
| 7) Gillum RF (2000) | The NHANES I Study | 705 (no amount of cases defined for the subcohorts) | Mortality | white men: RR = 0.66 (0.43-1.03). Black men: RR = 2.04 (0.56-7.44). White women: RR = 0.78 (0.46-1.31). Black women: RR = 1.73 (0.49-6.18) |
| 6) Whiteman D (1999) | The OXCHECK Study | 214 | Mortality | RR = 1.04 (0.59-1.82) |
| 5) Kromhout D (1995) | No cohort name defined | 67 | Mortality | RR = 1.30 (0.77-2.20) |
| 4) Dolecek TA (1992) | The Multiple Risk Factor Intervention Trial | 132 | Mortality | RR = 0.97 (P = NS) |
| 3) Hirayama T (1990) | No cohort name defined | 8,794 men, and 5,946 women) | Mortality | Men: RR = 1.53 (1.25-1.87) for the lowest vs highest quartile of consumption. Women: RR = 1.22 (1.00-1.49) for the lowest vs highest quartile of consumption. |
| 2) Shekelle RB (1985) | The Western Electric Study | 190 | Mortality | No significant association (P = 0.32) |
| 1) Ikeda M (1983) | The Adult Health Study | 488 | Mortality | RR = 1.33 (P = < 0.05) |
| Total number of cases: 62,967 | Average RR = 0.94 | |||
| Excluding data from Hirayama T [3]: | Total number of cases: 48,227 | Average RR = 1.00 |
| Author | Cohort name | Cases | Relative Risk (RR) |
|---|---|---|---|
| 16) Tomasallo C (2010) | No cohort name defined | 77 captains, and 44 referents | Captains: HR = 1.02 (0.52-1.02). Women: HR = 0.73 (0.34-1.60). |
| 11) Iso H (2007) | The JACC Study | 3,677 men, and 2,125 women | Men: HR = 1.01 (0.93-1.10). Women: HR = 0.97 (0.86-1.09). |
| 10) Khan MM (2004) | No cohort name defined | 155 men, and 89 women | Men: RR = 1.0* Women: RR = 1.47* |
| 9) Folsom AR (2004) | The Iowa Women's Health Study | 1,840 | RR = 0.91 (0.75-1.11; P = 0.61) |
| 8) Nagata C (2002) | The Takayama Study | 400 men, and 253 women | Men: HR = 0.89 (0.66-1.20; P = 0.52). Women: HR = 0.70 (0.47-1.05; P = 0.15) |
| 7) Gillum RF (2000) | The NHANES I Study | 705 (no amount of cases defined for the subcohorts) | white men: RR = 0.66 (0.43-1.03). Black men: RR = 2.04 (0.56-7.44). White women: RR = 0.78 (0.46-1.31). Black women: RR = 1.73 (0.49-6.18) |
| 6) Whiteman D (1999) | The OXCHECK Study | 214 | RR = 1.04 (0.59-1.82) |
| 5) Kromhout D (1995) | No cohort name defined | 67 | RR = 1.30 (0.77-2.20) |
| 4) Dolecek TA (1992) | The Multiple Risk Factor Intervention Trial | 132 | RR = 0.97 (P = NS) |
| 3) Hirayama T (1990) | No cohort name defined | 8,794 men, and 5,946 women) | Men: RR = 1.53 (1.25-1.87) for the lowest vs highest quartile of consumption. Women: RR = 1.22 (1.00-1.49) for the lowest vs highest quartile of consumption. |
| 2) Shekelle RB (1985) | The Western Electric Study | 190 | No significant association (P = 0.32) |
| 1) Ikeda M (1983) | The Adult Health Study | 488 | RR = 1.33 (P = < 0.05) |
| Total number of cases: 24.543 | Average RR = 0.83 | ||
| Excluding data from Hirayama T [3]: | Total number of cases: 9,803 | Average RR = 1.00 |