ArticleBMC public health2021
Dietary habits among men and women in West Greenland: follow-up on the ACCEPT birth cohort.
Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed.
- Sex Modifies Metabolic Pathways Associated with Lipids in Untargeted Metabolomics: The Coronary Artery Risk Development in Young Adults (CARDIA) Study, 2005-2006.Metabolites · 2025Article
- Metal exposure in the Greenlandic ACCEPT cohort: follow-up and comparison with other Arctic populations.International journal of circumpolar health · 2024Article
- Personal experiences of living with sucrose intolerance and attitudes towards genetic research in Greenland - a user study.International journal of circumpolar health · 2024Article
- Sex differences in the association between plasma polyunsaturated fatty acids levels and moderate-to-severe plaque psoriasis severity: a cross-sectional and longitudinal study.Journal of translational medicine · 2023Article
- Prenatal exposure to persistent organic pollutants and metals and problematic child behavior at 3-5 years of age: a Greenlandic cohort study.Scientific reports · 2021Article
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
backgroundIn the past decades, the diet in Greenland has been in transition resulting in a lower intake of traditional food and a higher intake of imported western food. This diet transition can affect public health negatively, and thus, continued monitoring of dietary habits is important. The present study aimed to follow up on the dietary habits of pregnant women included in the Greenlandic ACCEPT birth cohort (2013-2015) and the children's father.
methodsThe follow-up food intake was assessed in 2019-2020 using food frequency questionnaires for 101 mothers and 76 fathers aged 24-55 years living in Nuuk, Sisimiut, and Ilulissat. Non-parametric statistical methods were used (Mann-Whitney U test/Spearman correlation) to assess the dietary pattern and influencing factors.
resultsThe proportion of traditional and imported food was 14 and 86%, respectively. Intake frequency differed by gender (vegetables, fruits, fast food), the living town (terrestrial animals, vegetables, fruits), and age (fish, meat products, fruits, fast food). Socioeconomic and lifestyle factors significantly correlated with the intake frequency of several traditional and imported foods. Few changes in the mother's dietary habits from inclusion (during pregnancy) to follow-up (3-5 years later) were found, showing less frequent intake of seabirds and fruits and more frequent meat intake.
conclusionWe identified several factors that could affect dietary habits, and the results may be used to target future food recommendation for relevant population groups.
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.