Evidence map›Paper›PMID 42073197›Full record

ArticleFoods (Basel, Switzerland)2026

Food-Sustainable Behaviors and Attitudes of Generation Z Consumers-Measurement and Analysis of Selected Behaviors.

Agata Balińska, Ewa Jaska, Agnieszka Werenowska

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Agata BalińskaInstitute of Economics and Finance, Warsaw University of Life Sciences, Nowoursynowska St. 166, 02-787 Warsaw, Poland.ORCID 0000-0002-8777-9955
Ewa JaskaInstitute of Economics and Finance, Warsaw University of Life Sciences, Nowoursynowska St. 166, 02-787 Warsaw, Poland.ORCID 0000-0002-3874-1985
Agnieszka WerenowskaManagement Institute, Warsaw University of Life Sciences, Nowoursynowska St. 166, 02-787 Warsaw, Poland.ORCID 0000-0002-2545-4442

Funding

Ministry of Science and Higher Education NdS/545437/2022/2022
6 · The paper itself

Abstract

Food waste in households means that there is a need to recognize the possibilities of balancing activities in the field of obtaining and managing food products. Activities in this area may concern giving away surplus food to others, purchasing local and organic products, limiting shopping activity. Generation Z, which was included in this research, uses new media, including mobile applications, to a greater extent than other generations. The main objective of the research is to recognize and present the food-sustainable behaviors and attitudes of Generation Z consumers. The study used the analysis of source data, which was the basis for formulating four hypotheses. They were verified in empirical studies conducted using the CAWI method. The collected material was analyzed using, among others, the proprietary index of environmentally and socially sustainable behaviors (ESRBI), the Mann-Whitney test. The studies showed that respondents assessed their food behaviors as irresponsible, with women's assessment being higher than men's. A positive correlation was demonstrated between the use of food saving applications and the value of the ESRBI index and individual sustainable behaviors. Respondents positively assessed the initiatives of local authorities and housing cooperatives in the area of creating places for sharing food and organizing community gardens.

Indexed as

community gardensfoodgeneration Zmobile applicationssustainable consumption

Identifiers

PMID42073197
PMCPMC13115481

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.