title: Fish Consumption and Incidence of Diabetes: meta-analysis of data from 438,000 individuals in 12 independent prospective cohorts with an average 11-year follow-up.
abstract: OBJECTIVE
  Ecological data suggest an inverse correlation between fish consumption and diabetes prevalence. However, epidemiological data on fish intake and diabetes incidence are controversial and inconclusive. Therefore, we aimed to assess the literature and determine the association between fish consumption and diabetes risk quantitatively.
  
  
  METHODS
  Prospective cohort studies published through August 2011 in peer-reviewed journals indexed in PubMed were selected. Additional information was retrieved through Google or a hand search of the references from relevant articles. The weighted relative risk (RR) and corresponding 95% CI for incident diabetes was estimated using random-effects models.
  
  
  RESULTS
  A database was derived from nine eligible studies (12 independent cohorts), including 438,214 individuals with an average 11.4-year follow-up. Compared with those who never consumed fish or ate fish less than once per month, the pooled RR of incident diabetes was 0.99 (95% CI 0.85-1.16) for individuals who ate fish five or more times per week (P(trend) = 0.80). Similar results were found for long-chain n-3 polyunsaturated fatty acid intake. Study location was an effect modifier. An inverse association between fish intake and diabetes incidence was found by combining studies conducted in Eastern but not Western countries.
  
  
  CONCLUSIONS
  Accumulated evidence generated from this meta-analysis does not support an overall inverse association of fish or fish oil intake with incidence of diabetes. The null association was modified by study location (Eastern vs. Western countries), which may reflect the possible difference between Eastern and Western dietary patterns. Further studies are warranted.
authors.affiliation: Department of Nutrition, Gillings School of Global Public Health and School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
authors.forename: Pengcheng
authors.initials: P
authors.lastname: Xun
authors.forename: Ka
authors.initials: K
authors.lastname: He
mesh_terms: D000465:Algorithms; D000818:Animals; D015331:Cohort Studies; D003920:Diabetes Mellitus / Q000453:epidemiology* / Q000209:etiology; D004032:Diet; D004034:Diet Surveys; D004435:Eating / Q000502:physiology; D005399:Fishes; D005500:Follow-Up Studies; D006801:Humans; D015994:Incidence; D011446:Prospective Studies; D012307:Risk Factors; D013997:Time Factors