ArticleNutrition journal2012
Diet and lifestyle factors associated with fish consumption in men and women: a study of whether gender differences can result in gender-specific confounding.
Article in Nutrition journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Pooled it
- Fish consumption and risk of all-cause and cardiovascular mortality: a dose-response meta-analysis of prospective observational studies.Public health nutrition · 2018Pooled it
- Article
- Association between fish consumption and mortality risk from overall cardiovascular disease and its subtypes: a 20-year prospective cohort analysis by sex.European journal of nutrition · 2025Article
- Exploratory study on the association of fish consumption with serum cotinine levels in the general adult population.BMC nutrition · 2025Article
- Lifestyle, dietary pattern and colorectal cancer: a case-control study.BMC nutrition · 2024Article
- Who likes meat, fish, and seafood? Influence of sex, age, body mass index, smoking, and olfactory efficiency on meat product preferences.Food science & nutrition · 2024Article
- Replacing red and processed meat with lean or fatty fish and all-cause and cause-specific mortality in Norwegian women. The Norwegian Women and Cancer Study (NOWAC): a prospective cohort study.The British journal of nutrition · 2024Article
- Observational
- Specific health beliefs mediate sex differences in food choice.Frontiers in nutrition · 2023Article
- Diet Composition, Anthropometrics, and Mortality Risk.International journal of environmental research and public health · 2022Article
- Review
- The Frequency and Amount of Fish Intake Are Correlated with the White Blood Cell Count and Aerobic Exercise Habit: A Cross-sectional Study.Internal medicine (Tokyo, Japan) · 2022Article
- Risk Factors for Eating Disorders and Perception of Body in Young Adults Associated with Sex.Nutrients · 2021Article
- Association among daily fish intake, white blood cell count, and healthy lifestyle behaviors in an apparently healthy Japanese population: implication for the anti-atherosclerotic effect of fish consumption.Heart and vessels · 2021Article
- Plasma Fatty Acids and Quantitative Ultrasound, DXA and pQCT Derived Parameters in Postmenopausal Spanish Women.Nutrients · 2021Article
- Protein Intake, Protein Mealtime Distribution and Seafood Consumption in Elderly Norwegians: Associations with Physical Function and Strength.Geriatrics (Basel, Switzerland) · 2020Article
- Plasma marine n-3 polyunsaturated fatty acids and cardiovascular risk factors: data from the ACE 1950 study.European journal of nutrition · 2020Article
- Seafood consumption patterns, their nutritional benefits and associated sociodemographic and lifestyle factors among First Nations in British Columbia, Canada.Public health nutrition · 2018Article
- Fish consumption and risk of stroke: a second prospective case-control study from northern Sweden.Nutrition journal · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFish consumption and intake of omega-3 fatty acids from fish are associated with a lower risk of cardiovascular disease. However, a prospective study from northern Sweden showed that high consumption of fish is associated with an increased risk of stroke in men, but not in women. The current study aimed to determine if fish consumption is differently related to lifestyle in men compared with women in northern Sweden.
methodsLifestyle information on 32,782 men and 34,866 women (aged 30-60 years) was collected between 1992 and 2006 within the Västerbotten Intervention Programme (a health intervention in northern Sweden). Spearman correlations coefficients (Rs) were calculated between self-reported consumption of fish and other food items. Lifestyle variables were compared between fish consumption categories.
resultsFish consumption was positively associated with other foods considered healthy (e.g., root vegetables, lettuce/cabbage/spinach/broccoli, chicken, and berries; Rs = 0.21-0.30), as well as with other healthy lifestyle factors (e.g., exercise and not smoking) and a higher educational level, in both men and women. The only gender difference found, concerned the association between fish consumption and alcohol consumption. Men who were high consumers of fish had a higher intake of all types of alcohol compared with low to moderate fish consumers. For women, this was true only for wine.
conclusionsExcept for alcohol, the association between fish consumption and healthy lifestyle did not differ between men and women in northern Sweden. It is important to adjust for other lifestyle variables and socioeconomic variables in studies concerning the effect of fish consumption on disease outcome.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.