Evidence map›Paper›PMID 35979803›Full record

ArticlePublic health nutrition2022

Food purchase behaviour in a Finnish population: patterns, carbon footprints and expenditures.

Jelena Meinilä, Hanna Hartikainen, Hanna L Tuomisto, Liisa Uusitalo, Henna Vepsäläinen, Merja Saarinen, Satu Kinnunen, Elviira Lehto, Hannu Saarijärvi, Juha-Matti Katajajuuri and 3 more

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Article in Public health nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

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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

13 authors.

Jelena MeiniläDepartment of Food and Nutrition, University of Helsinki, PO Box 66, Helsinki00014, Finland.ORCID 0000-0002-6377-1377
Hanna HartikainenNatural Resources Institute Finland, Helsinki, Finland.
Hanna L TuomistoNatural Resources Institute Finland, Helsinki, Finland.
Liisa UusitaloDepartment of Food and Nutrition, University of Helsinki, PO Box 66, Helsinki00014, Finland.
Henna VepsäläinenDepartment of Food and Nutrition, University of Helsinki, PO Box 66, Helsinki00014, Finland.ORCID 0000-0002-0177-3609
Merja SaarinenNatural Resources Institute Finland, Helsinki, Finland.
Satu KinnunenDepartment of Food and Nutrition, University of Helsinki, PO Box 66, Helsinki00014, Finland.
Elviira LehtoDepartment of Teacher Education, University of Helsinki, Helsinki, Finland.
Hannu SaarijärviTampere University, Tampere, Finland.
Juha-Matti KatajajuuriNatural Resources Institute Finland, Helsinki, Finland.
Maijaliisa ErkkolaDepartment of Food and Nutrition, University of Helsinki, PO Box 66, Helsinki00014, Finland.ORCID 0000-0002-6966-1523
Jaakko NevalainenTampere University, Tampere, Finland.
Mikael FogelholmDepartment of Food and Nutrition, University of Helsinki, PO Box 66, Helsinki00014, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify food purchase patterns and to assess their carbon footprint and expenditure.

designCross-sectional.

settingPurchase patterns were identified by factor analysis from the annual purchases of 3435 product groups. The associations between purchase patterns and the total purchases' carbon footprints (based on life-cycle assessment) and expenditure were analysed using linear regression and adjusted for nutritional energy content of the purchases.

participantsLoyalty card holders (

resultsEight patterns explained 55 % of the variation in food purchases. The

conclusionsThe

Indexed as

Carbon FootprintHealth ExpendituresAnimalsCross-Sectional StudiesDietFamily CharacteristicsFinlandDietEnvironmental impactFood consumptionGreenhouse gas emissionNutrition

Identifiers

PMID35979803
PMCPMC9991547

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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.