Evidence map›Paper›PMID 33517938›Full record

ArticlePublic health nutrition2021

Development and testing of the Sustainable Nutrition Environment Measures Survey for retail stores in Ontario.

Sadaf Mollaei, Goretty M Dias, Leia M Minaker

Abstract read
In one paragraph

Article in Public health nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Food environment research in Canada: a rapid review of methodologies and measures deployed between 2010 and 2021.The international journal of behavioral nutrition and physical activity · 2024
    Pooled it
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Sadaf MollaeiSchool of Environment, Enterprise and Development, Faculty of Environment, University of Waterloo, 200 University Avenue West, WaterlooON N2L 3G, Canada.
Goretty M DiasSchool of Environment, Enterprise and Development, Faculty of Environment, University of Waterloo, 200 University Avenue West, WaterlooON N2L 3G, Canada.
Leia M MinakerSchool of Planning, Faculty of Environment, University of Waterloo, WaterlooON N2L 3G, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop and test a tool to assess the price and availability of low-carbon footprint and nutritionally balanced dietary patterns in retail food environments in Ontario, Canada.

designAvailability and price of selected food from discount and regular grocery stores (n 23) in urban/rural areas of northern/southern Ontario were assessed with the Sustainable Nutrition Environment Measures Survey in 2017.

settingOntario, Canada.

resultsInter-rater reliability was high for price (intra-class correlation coefficients = 0·819) and for availability (Cohen's κ = 0·993). The tool showed 78 % of the selected food items were available in all stores. Overall, price differences were small between urban and rural locations, and northern and southern Ontario. The greatest price difference was between discount and regular stores.

conclusionsThe tool showed excellent inter-rater agreement. Researchers and public health dietitians can use this tool for research, practice and policy to link consumer-level health outcomes to the retail environment.

Indexed as

CommerceFood SupplyOntarioReproducibility of ResultsSurveys and QuestionnairesDietary patternsFood environmentNutrition Environment Measures SurveySustainable diet

Identifiers

PMID33517938
PMCPMC10195576

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.