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Published on: July 3, 2016
Inuit dietary patterns in modern Greenland
Peter Bjerregaard1, Charlotte Jeppesen
1National Institute of Public Health, University of Southern Denmark, DK-1353 Copenhagen, Denmark. pb@niph.dk
Two methods identified distinct Inuit dietary patterns in Greenland, influenced by age, gender, urbanization, and socioeconomic status. A healthy diet was linked to older women in towns, while traditional diets were more common in villages.
Area of Science:
- Nutritional epidemiology
- Public health nutrition
- Sociology of food
Background:
- Understanding contemporary dietary patterns in indigenous populations is crucial for public health interventions.
- Urbanization and socioeconomic changes significantly impact traditional diets worldwide.
- The Inuit population in Greenland has experienced rapid societal transformations.
Purpose of the Study:
- To apply and compare two distinct methods for defining dietary patterns in the Greenlandic Inuit population.
- To analyze contemporary dietary patterns in relation to urbanization and socioeconomic position.
- To assess the applicability of different dietary pattern methodologies.
Main Methods:
- A cross-sectional population survey involving 2,247 Inuit aged 18+ in West Greenland.
- Dietary intake assessed using a 67-item Food Frequency Questionnaire (FFQ).
- Two analytical approaches used: factor-cum-cluster analysis and a normative approach based on dietary recommendations.
Main Results:
- Six dietary patterns were identified by the factor-cum-cluster analysis and five by the normative approach, with partial overlap.
- Dietary pattern distribution varied significantly by age, gender, urbanization, and socioeconomic position.
- A 'healthy' pattern was associated with older women in towns; an 'unhealthy' pattern with young individuals; and a 'traditional' pattern with older, village-dwelling hunters/fishermen.
Conclusions:
- Both data-driven and normative approaches yielded comparable results for characterizing Inuit dietary patterns.
- The normative approach offers direct applicability for dietary interventions and can be applied to diverse datasets.
- The data-driven approach is valuable for identifying novel dietary patterns but is dataset-specific.
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