Evidence map›Paper›PMID 41057621›Full record

ArticleScientific reports2025

Secondhand fashion consumers exhibit fast fashion behaviors despite sustainability narratives.

Meital Peleg Mizrachi, Ori Sharon

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  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

2 authors.

Meital Peleg Mizrachi *Department of Economics - the Economic Growth Center, Yale Center for Business and Environment, Yale University, New Haven, CT, 06511, USA. meital.pelegmizrachi@yale.edu.
Ori Sharon *Faculty of Law and Environmental Regulation Program, Bar Ilan University, Ramat Gan, 5290002, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fashion industry contributes 2-8% of global greenhouse gas emissions, driven by rising clothing consumption and the proliferation of fast fashion. Fast fashion accelerates environmental harm through rapid production cycles, low costs, and short garment lifespans. Secondhand clothing markets are often promoted as a sustainable alternative, promising extended use and reduced waste. These markets have grown rapidly, with global sales reaching $177 billion in 2022 and projected to double by 2027. Despite this growth, few studies have empirically examined whether secondhand purchasing displaces or merely supplements primary market consumption. This study addresses that gap using a nationally representative survey of 1,009 U.S. consumers. We find that secondhand consumption is positively correlated with new clothing purchases (r = 0.58, p < 0.01), particularly among younger consumers and frequent shoppers. Cluster and principal component analyses reveal that highly engaged secondhand consumers also exhibit high overall consumption and short garment retention. Although many report high sustainability knowledge, such knowledge does not reliably predict sustainable behavior. Drawing on rebound and moral licensing theories, we suggest that secondhand purchases may psychologically or economically justify continued overconsumption. These findings challenge assumptions about resale's environmental benefits and support policy interventions to realign resale practices with sustainability goals.

Indexed as

ClothingConsumer BehaviorAdolescentAdultAgedFemaleHumansMaleMiddle AgedSurveys and QuestionnairesUnited StatesYoung AdultMoral licensingOverconsumption.Rebound effectSecond-Hand clothingSustainable fashion

Identifiers

PMID41057621
PMCPMC12504660

What OpenQuestion holds

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LicenceCC BY
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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.