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Fish consumption and frying of fish in relation to type 2 diabetes incidence: a prospective cohort study of Swedish men

Overview of attention for article published in European Journal of Nutrition, December 2015
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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4 X users
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1 YouTube creator

Citations

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39 Dimensions

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98 Mendeley
Title
Fish consumption and frying of fish in relation to type 2 diabetes incidence: a prospective cohort study of Swedish men
Published in
European Journal of Nutrition, December 2015
DOI 10.1007/s00394-015-1132-6
Pubmed ID
Authors

Alice Wallin, Daniela Di Giuseppe, Nicola Orsini, Agneta Åkesson, Nita G. Forouhi, Alicja Wolk

Abstract

Epidemiological evidence on the association between fish consumption and risk of type 2 diabetes is heterogeneous across geographical regions. Differences related to fish consumption pattern could possibly help explain the discrepancy between the findings. We therefore aimed to investigate the association between fish consumption (total, fried, specific fish items) and type 2 diabetes incidence, taking exposure to contaminants present in fish (polychlorinated biphenyls and methyl mercury) into consideration. The population-based Cohort of Swedish Men, including 35,583 men aged 45-79 years, was followed from 1998 to 2012. We estimated hazard ratios (HRs) with 95 % confidence intervals (CIs) using Cox proportional hazards models. During 15 years of follow-up, 3624 incident cases were identified. Total fish consumption (≥4 servings/week vs. <1 serving/week) was not associated with type 2 diabetes in multivariable-adjusted analysis (HR 1.00; 95 % CI 0.85-1.18); however, a statistically non-significant inverse association was observed after adjustment for dietary contaminant exposures (HR 0.79; 95 % CI 0.60-1.04). Fried fish (≥6 servings/month vs. ≤1 servings/month) and shellfish consumption (≥1 serving/week vs. never/seldom) were associated with HRs of 1.14 (95 % CI 1.03-1.31) and 1.21 (95 % CI 1.07-1.36), respectively. We observed no overall association between total fish consumption and type 2 diabetes. The results indicated that dietary contaminants in fish may influence the relationship. Fried fish and shellfish consumption were associated with higher type 2 diabetes incidence. These findings suggest that more specific advice on fish species sub-types (varying in contamination) and preparation methods may be warranted.

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 1%
Unknown 97 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 27 28%
Student > Master 11 11%
Student > Ph. D. Student 10 10%
Researcher 6 6%
Student > Doctoral Student 6 6%
Other 15 15%
Unknown 23 23%
Readers by discipline Count As %
Medicine and Dentistry 24 24%
Nursing and Health Professions 19 19%
Agricultural and Biological Sciences 9 9%
Biochemistry, Genetics and Molecular Biology 4 4%
Engineering 3 3%
Other 11 11%
Unknown 28 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 December 2023.
All research outputs
#14,132,315
of 24,967,663 outputs
Outputs from European Journal of Nutrition
#1,541
of 2,556 outputs
Outputs of similar age
#186,986
of 401,627 outputs
Outputs of similar age from European Journal of Nutrition
#29
of 52 outputs
Altmetric has tracked 24,967,663 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,556 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.5. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 401,627 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.