Evidence map›Paper›PMID 41439104›Full record

ArticleCurrent developments in nutrition2025

Seasonal and Community Size-Related Patterns of Population Dietary Energy, Macronutrients, and Fiber Purchased in Grocery Stores across Nunavut, Canada.

Sappho Z Gilbert, Mahsa Jessri, Lindsay Turner, Timothy O Fawehinmi, Amy Caughey, Shondra Stadnyk, Laurie Kaminsky, James D Ford, Rafael Pérez-Escamilla, Nicola L Hawley and 1 more

Abstract read
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Article in Current developments in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Sappho Z GilbertDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Mahsa JessriFood, Nutrition and Health Program, Faculty of Land & Food Systems, University of British Columbia, Vancouver, BC, Canada.
Lindsay TurnerDepartment of Family Services, Government of Nunavut, Iqaluit, NU, Canada.
Timothy O FawehinmiDepartment of Family Services, Government of Nunavut, Iqaluit, NU, Canada.
Amy CaugheyDepartment of Health, Government of Nunavut, Iqaluit, NU, Canada.
Shondra StadnykDepartment of Health, Government of Nunavut, Iqaluit, NU, Canada.
Laurie KaminskyThe North West Company, Winnipeg, MB, Canada.
James D FordPriestley International Centre for Climate, University of Leeds, Leeds, United Kingdom.
Rafael Pérez-EscamillaDepartment of Social & Behavioral Sciences, Yale School of Public Health, New Haven, CT, United States.
Nicola L HawleyDepartment of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, United States.
Robert DubrowYale Center on Climate Change & Health, Yale School of Public Health, New Haven, CT, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Food composition-linked grocery sales data provide time- and resource-efficient, low-bias population nutrition insights. This is particularly valuable in the Inuit-majority territory of Nunavut, Canada, where up-to-date diet-related data are lacking amid a nutrition transition. Objectives: We aimed to investigate whether, in 21 Nunavut communities served by a market-dominant retailer: Methods: Each of 24,463 unique products sold between 1 February, 2013, and 31 July, 2019 was matched to its closest nutritional equivalent in the Canadian Nutrient File or the United States FoodData Central database for energy, macronutrient, and fiber values to be multiplied by product amount. Per capita standardization was performed with 2016 Census data. Analysis of variance tested for the statistical significance of differences in means. Results: Consumer nutrition patterns were seasonally consistent. In the 4 community size levels other than Iqaluit, percentage of energy from protein was relatively low (9%-10%), percentage of energy from carbohydrate was high (63%-66%), and food energy density was high (295-319 kcal/100 edible g). Purchases were least energy-dense in Iqaluit and the largest community size quartile (276 and 295 kcal/100 edible g, respectively). Among 16 categories and across community size levels, Beverages and Juices & Drinks constituted roughly one-fifth of energy and one-third of carbohydrates sold. Sale of fiber was consistently low (6-7 g/capita/day). Conclusions: To our knowledge, this is the first analysis of nutrient-linked grocery sales data in the Arctic. Our findings reveal energy-dense, high-carbohydrate, low-protein, low-fiber store-bought grocery sales in the context of an advanced nutrition transition in Nunavut.

Indexed as

food composition datafood retailgrocery salesInuitNunavutnutrition transition

Identifiers

PMID41439104
PMCPMC12719650

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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.