Evidence map›Paper›PMID 35731724›Full record

ArticlePloS one2022

Influence of product selection criteria on clothing purchase and post-purchase behaviours: A gender and generational comparison.

Gustavo Barrera-Verdugo, Antonio Villarroel-Villarroel

Abstract read
In one paragraph

Article in PloS one, 2022. 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

2 authors.

Gustavo Barrera-VerdugoFaculty of Engineering and Business, Universidad de Las Américas, Providencia, Santiago, Chile.ORCID 0000-0002-1609-5003
Antonio Villarroel-VillarroelFaculty of Engineering and Business, Universidad de Las Américas, Providencia, Santiago, Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purchasing and consumption behaviour is a factor with an important impact on sustainable development. In this regard, the clothing category plays a key role due to the high volume of products that are manufactured in countries with poor environmental and social conditions. While some research has investigated personal, social and cultural conditions that influence these behaviours, little is currently known about the influence of the attributes of sustainable clothing selection on the frequency of sustainable purchase and post-purchase actions in this category. This research seeks to evaluate this effect by comparing the results among genders and age/generation and measuring sustainable consumption using the Young Consumers' Sustainable Consumption Behaviour method, which has two dimensions: purchase choices and sufficient and frugal consumption. Responses to online surveys of 240 university students in Chile are analysed using descriptive statistics, the Mann-Whitney-Wilcoxon test and ologit regressions. The findings show significant differences between the groups analysed with respect to the influence of attributes for sustainable clothing selection and highlight the negative effect of the search for quality in men and in older people. The evidence highlights the need to inform the population about the characteristics of sustainable clothing that positively affect purchase and post-purchase actions such as buying secondhand clothing, repairing, exchanging and donating clothing. This study also suggests that it is important to strengthen the relationship between sustainability and clothing quality among older generations and men.

Indexed as

CommerceConsumer BehaviorAgedClothingFemaleHumansMalePatient SelectionSurveys and Questionnaires

Identifiers

PMID35731724
PMCPMC9216592

What OpenQuestion holds

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LicenceCC BY
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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.